MIT Forum for Supply Chain Innovationhttps://hdl.handle.net/1721.1/418942026-04-05T04:19:32Z2026-04-05T04:19:32Z"POOR ECONOMICS" Creating Markets: BOU needs POOR SOFTWARE (for BOU BAZAR transactions)Datta, Shoumenhttps://hdl.handle.net/1721.1/1652622026-04-03T08:53:48Z2026-03-26T00:00:00Z"POOR ECONOMICS" Creating Markets: BOU needs POOR SOFTWARE (for BOU BAZAR transactions)
Datta, Shoumen
Hiding in plain sight is the immense demand for "poor software" from billions of potential impecunious users in nations where "poor economics" is not just the weather of the day but the climate of the century. Unbeknownst to many in the affluent world, billions of users (BOU) who are perhaps capable of paying only pennies (PAPPU - pay a penny per use) are in need of "poor" software for daily (hourly) transactions related to FEWSH (food, energy, water, sanitation, healthcare) marketplaces (BAZAR).
Even the ecclesiastical apparat will be made inconsequential for any intervention if the potential for escalation between the "haves" (1%) and the "have-nots" (99%) may reach eschatological dimensions. There may be a potential bridge over the chasm which separates billions from the billionaires. BOU could be that bridge. Billions of users (BOU) are creating demand for mobile software systems to transact their daily needs. BOU is driven by demographics (~6.5 billion poor people) in Asia and Africa. BOU is characteristic of less affluent nations and it is not usually a part of our discussion, yet this unmet demand is as real as their (and our) daily need for FEWSH (food, energy, water, sanitation, health and wellness). Software innovation in material management systems (SIMMS) may be able to capture transactions in the FEWSH verticals and monetize the system through PAPPU. This article explores ideas with respect to SIMMS helping BOU based on principles of economics and the practice of ethical profitability (however oxymoronic it may sound, ethical profitability may be that metaphorical fulcrum between need and greed).
2026-03-26T00:00:00ZAI (Artificial Intelligence) is MACHINE USEFULNESSDatta, Shoumenhttps://hdl.handle.net/1721.1/1554422025-02-28T18:28:22Z2024-07-03T00:00:00ZAI (Artificial Intelligence) is MACHINE USEFULNESS
Datta, Shoumen
MACHINE USEFULNESS - according to Daron Acemoglu (2024 Nobel Prize) is more appropriate instead of the misnomers AI and ML. Hence, AI in need of an explanation as to why it is actually incorrect. But, if used with human supervision, AI tools, e.g., ANN/ML with humans-in-the-loop (ML-HIL) can be made very useful when dealing with very high volume of data and data analytics. Therefore, machines are useful but not in the way it is conceived in the AI/ML jargon.
Harvard Law Professor Paul Freund, a constitutional scholar, asserted that the Supreme Court “should never be influenced by the weather of the day but inevitably will be influenced by the climate of the era.” But, unlike law (interpretation “will be influenced by the climate of the era”), in science neither “weather of the day” nor “climate of the era” may influence evidence. So-called “deep learning” (convolutional neural network) was inspired by the work of David Hubel and Torsten Weisel (in 1962) while exploring the neural architecture of the cat’s visual cortex in the 20th century. In the 21st century, Halicin sets the “gold standard” for exceptionally brilliant use of un-intelligent and dumb tools of ANN/ML to extract suggestive analytics based on human-designed training and learning. The success of ANN/ML in high volume, human-in-the-loop data handling, in the case of Halicin is a clarion call to dispense with the hubris of AI (and AI politics). However, it is impossible not to take note that AI politics is not a domain where evidence plays any role. AI has become a domain for pompous puffery.
The evidence from the cat's visual cortex (in the 20th century) in combination with the repurposed antibiotic Halicin and the pitfalls of ML in genomics/proteomics (in the 21st century) may be sufficient to suggest that AI shenanigans are unnecessary.
2024-07-03T00:00:00ZHealthcare - Solutions for a Better World ?Datta, Shoumenhttps://hdl.handle.net/1721.1/1532832025-02-28T18:29:46Z2024-01-07T00:00:00ZHealthcare - Solutions for a Better World ?
Datta, Shoumen
Healthcare access means something quite different for people in different socio-economic communities. It may be an unequal contribution of the wealth of their nations, the wisdom of their social justice system and strength of their egalitarian leadership. Despite the vast differences, certain fundamental approaches based on science and medicine may bring some relief to communities who are chronically deprived.
Two presentations (The Health of Nations - Part I and II) attempts to outline how science as a service with respect to healthcare can better serve society and (perhaps) remedy some of the injustices. Part III suggests what is quintessential for the health of nations.
2024-01-07T00:00:00ZHealthcare, Clinical Research and Digital Health SystemsDatta, Shoumenhttps://hdl.handle.net/1721.1/1529212026-03-22T18:45:33Z2023-11-07T00:00:00ZHealthcare, Clinical Research and Digital Health Systems
Datta, Shoumen
Digital Health Systems could play a pivotal role in improving heathcare if a critical mass of reliable data were obtained (remote health) and subjected to dynamic pattern analyses to reveal (expose?) underlying key physiological performance indicators. The latter could help medical professionals (at point of care) or remote healthcare (home) practitioners with predictive and prescriptive analytics to aid in making better data-informed decisions or feed/update decision support systems.
This presentation explores healthcare issues from multiple angles and proposes to focus on data farming to provide assistance, now, (within reason), rather than wait for perfection to be achieved in the distant future. The "focus" on data from vital signs and key metabolic indicators also suggests the potential practice as a healthcare service business. An optimal combination of purpose (to lift many boats) and entrepreneurial innovation with a healthy dose of determined leadership could result in an outcome which could improve healthcare, globally, as well as find gentle and flexible business models to pursue limited ethical profitability. The latter offers staggering returns (ROI) based on the immense wealth of poor nations, to harness the buying power of a combined population of ~7 billion people, if they are enabled to actively participate in digital healthcare services.
2023-11-07T00:00:00ZTHE AIMS OF EDUCATIONDatta, Shoumenhttps://hdl.handle.net/1721.1/1466402025-02-28T18:28:20Z2022-11-29T00:00:00ZTHE AIMS OF EDUCATION
Datta, Shoumen
Public education as an instrument of goodwill. Compassion without knowledge is ineffective. Knowledge without compassion is inhuman.
MEET - Money, Excellence, Ethics, Teachers. Can optimization of these four engines transform the instrument of public K-12 education into a force for a resplendent future? The decay and restoration of civilization are in the hands of teachers. Isn't it?
2022-11-29T00:00:00ZShoumen Bose Palit Austin DattaDatta, Shoumenhttps://hdl.handle.net/1721.1/1461582026-03-26T14:22:22Z2022-11-04T00:00:00ZShoumen Bose Palit Austin Datta
Datta, Shoumen
CV, Bio
CV, Bio
2022-11-04T00:00:00ZVaccines: The Health of Nations - The Paradigm ShiftsDatta, Shoumenhttps://hdl.handle.net/1721.1/1457742026-03-15T20:04:51Z2022-10-09T00:00:00ZVaccines: The Health of Nations - The Paradigm Shifts
Datta, Shoumen
Approximately 7 billion people in the world (>80% of the global population) live under moderate to severe economic constraints in less affluent nations. Preventive public health and healthcare through immunization is in need of a paradigm shift with respect to vaccination and access to vaccines. In this context, oral administration of plant-produced antigens were reported to be immuno-stimulatory in humans, potentially capable of conferring immunity from viral infection (specific for the viral antigen bioengineered for expression in plant). Use of antigen-containing plant products for oral (or sublingual) administration does not require purification. The plant/leaf/stem “paste” may be sufficient (?) for immunizing humans (and animals). Scientific evidence supports advocacy for oral administration of “raw” plant-based products (sublingual) without purification. Implementing plant based oral vaccines (POV) may accelerate the pace of global vaccination and preventive healthcare for less affluent communities by [0] eliminating the need for purification,[1] eliminating the need for “cold” supply chain logistics, [2] eliminating the dependency on medical professionals for vaccination and [3] eliminating supply chain fulfillment dependencies by growing the antigen-producing “potted plants” in community gardens or at home, as a vaccine cottage industry or GROOV (grow your own organic vaccine). Communities may also transform GROOV cottage industry for transgenic plants producing antigens as an entrepreneurial innovation endeavor which may lead to a social business for vaccines. The latter, built on pillars of ethical profitability, is expected to prioritize science as a service to society (SASSY) to improve access to global public goods with respect to health and healthcare. The economics of vaccination technology during the CoVID-19 pandemic may be one of the gravest discontents of the 21st century from the perspective of people, healthcare access and ethical globalization. The public health alarm is not restricted to affluent OECD nations and affluence cannot mitigate the risks of future epidemics and pandemics. Vaccination and immunization, when possible, must be globally accessible and available to mitigate the threat from [1] worldwide transmission, [2] increasing virulence due to antigenic drift and [3] economic devastation which follows, naturally. POV and GROOV are not paradoxes but the essence of the paradigm shift necessary for preventive public health to carry out its mandate to be PREVENTIVE, but not only limited for infectious diseases but includes other immunodeficiencies, neurodegenerative diseases (e.g., multiple sclerosis) and cancer (e.g., HPV-induced cervical cancer).
"The Health of Nations" is a review/summary of research results over the past 30+ years which indicates that untreated, raw, plant products (leafs, stems, roots) may be effective in delivering antigens (e.g. viral proteins engineered in recombinant vectors for production in transgenic plant tissue) to humans and animals to vaccinate against future infections (e.g. emerging threat from viruses with pandemic potential). Delivery of plant-produced antigens induces immunogenic response in animals and are capable of conferring immunity in humans. The failure to translate this credible scientific research into solutions for the less-affluent world (80% of the global population) may be a crime against humanity and ~7 billion poor people, worldwide.
2022-10-09T00:00:00ZDigital Twins: Digital Twin Meets Digital CousinDatta, Shoumenhttps://hdl.handle.net/1721.1/1407912025-06-26T03:24:52Z2022-02-27T00:00:00ZDigital Twins: Digital Twin Meets Digital Cousin
Datta, Shoumen
2022-02-27T00:00:00ZCYBERSECURITYDatta, Shoumenhttps://hdl.handle.net/1721.1/1403032025-02-28T18:29:45Z2022-02-12T00:00:00ZCYBERSECURITY
Datta, Shoumen
The science of cybersecurity and related research may benefit from trans-disciplinary convergence and even mimicry of Natural Laws, e.g., biomimicry, to provide a foundation.
Geospatially dispersed systems including devices from the edge on land are connecting with under-sea data centers and may be even communicating with interplanetary internet of things (IIoT) via cloud computing. Maintaining availability, integrity and confidentiality at all times for systems, devices and data is the task of cybersecurity. Cross-pollination of ideas, exploring radical concepts and convergence of expertise are essential to keep asking and answering the question: is this notion or outcome a drop in the ocean or a pebble in the pond?
2022-02-12T00:00:00ZSOFT - Sense of Future TrendsDatta, Shoumenhttps://hdl.handle.net/1721.1/1311292025-02-28T18:28:20Z2021-07-24T00:00:00ZSOFT - Sense of Future Trends
Datta, Shoumen
SOFT is a discussion about future trends (Sense of Future Trends) with respect to global public goods: food, energy, water, sanitation and healthcare (FEWSH).
SOFT is a discussion about future trends (Sense of Future Trends) with respect to global public goods: food, energy, water, sanitation and healthcare (FEWSH).
2021-07-24T00:00:00ZHAPHAZARD REALITYDatta, Shoumenhttps://hdl.handle.net/1721.1/1301772025-02-28T18:29:45Z2021-03-20T00:00:00ZHAPHAZARD REALITY
Datta, Shoumen
HAPHAZARD REALITY is a borrowed title from the autobiography of Hendrik Brugt Gerhard Casimir. Ideas discussed in this collection of amorphous thoughts were once paradoxes which may become paradigms (borrowed phrase from Frank Wilczek, MIT). Borrowed concepts viewed through the lens of convergence is one thread in many of these essays/articles. An exploration of the contents may reveal the pre-pandemic, in-pandemic and post-pandemic impact of CoVID-19 in the 21st century. The sub-title of the book "IoT is a Metaphor" indicates that connectivity and data are paramount.
HAPHAZARD REALITY is a borrowed title from the autobiography of Hendrik Brugt Gerhard Casimir. Ideas discussed in this collection of amorphous thoughts were once paradoxes which may become paradigms (borrowed phrase from Frank Wilczek, MIT). Borrowed concepts viewed through the lens of convergence is one thread in many of these essays/articles. An exploration of the contents may reveal the pre-pandemic, in-pandemic and post-pandemic impact of CoVID-19 in the 21st century. The sub-title of the book "IoT is a Metaphor" indicates that connectivity and data are paramount.
2021-03-20T00:00:00ZMolecular Virology: SARS-CoV-2 and CoVID-19 (Current Topics)Datta, Shoumenhttps://hdl.handle.net/1721.1/1280172025-02-28T18:28:22Z2020-10-16T00:00:00ZMolecular Virology: SARS-CoV-2 and CoVID-19 (Current Topics)
Datta, Shoumen
Low-cost, non-invasive, detection, and diagnostic platform for surveillance of infections in humans, and animals. The system embraces the IoT “digital by design” metaphor by incorporating elements of connectivity, data sharing and (secure) information arbitrage. Can we use an array of aptamers to bind viral targets which may help in detection, diagnostics, and potentially prevention in case of SARS-CoV-2? The ADD tool may become part of a broader platform approach in molecular epidemiology and serve as another public health risk mitigation strategy.
The proposal pertaining to SARS-CoV-2 ("ADD") also includes a suggestion for SARS-CoV-2 breathalyzer (see Figure 18 in "ADD") and one reason for advocating this approach may be gleaned from the legend to Figure 20 (in the pdf "ADD"). The article "ADD" is included in chapter 6 of the book "IoT is a Metaphor" (PDF in this collection).
2020-10-16T00:00:00ZP3 - Porous Pareto PartitionDatta, Shoumenhttps://hdl.handle.net/1721.1/1239842025-02-28T18:28:22Z2020-02-29T00:00:00ZP3 - Porous Pareto Partition
Datta, Shoumen
Unsustainable and Misaligned Economics of Technology triggers a Porous Pareto Partition Between the Haves and the Have Nots: Can Democratization of Distributed Data act as a Catalyst for the Dissemination of Digital Dividends?
This essay is neither about focus (see page 39) nor about any target audience. It is a haphazard discussion of approaches to increase access to global public goods, in a manner that the economics of technology is not a barrier but a catalyst through convergence of non-formulaic entrepreneurial innovation. This essay is supposed to be off the beaten path, to be read on the unplanned journey on the road not taken.The content of the essay aspires to inform that tools and data related to the affluent world are not a template to be “copied” or applied to systems in the remaining (80%) parts of the world which may be under economic constraints. We need different thinking that resists the inclination of the affluent 20% of the world to treat the rest of the world (80% of the population) just as a market. The 80/20 distribution evokes the Pareto analogy in this essay.
2020-02-29T00:00:00ZPEAS - Making Meaningful Sense of Sensor Data and InformationDatta, ShoumenMcLamore, Erichttps://hdl.handle.net/1721.1/1239832025-06-26T03:24:31Z2020-02-29T00:00:00ZPEAS - Making Meaningful Sense of Sensor Data and Information
Datta, Shoumen; McLamore, Eric
Exploring convergence of ideas to transform data into meaningful information.
Collaboration of thoughts and ideas with Eric McLamore and Diana Vanegas
2020-02-29T00:00:00ZDigital Transformation - IoT is a MetaphorDatta, Shoumenhttps://hdl.handle.net/1721.1/1110212025-02-28T18:28:21Z2017-08-26T00:00:00ZDigital Transformation - IoT is a Metaphor
Datta, Shoumen
Digital Economics is approaching and the "new economy" will need new rules, new changes and new thinking. Digital Transformation is a step toward Digital Economy. In this article, we haven't even scratched the surface of the imminent digital tsunami. Infrastructure and innovation must converge with tools and technologies, where systems must connect and communicate to meet the customer at the point of consumption. This will be an immense change which will turn paradoxes to paradigms. Please scroll down to download the pdf "IoT is a Metaphor"
Digital Transformation is a convergence of multiple tools, technologies and ideas. A few of these elements are discussed in "IoT is a Metaphor" (PDF).
2017-08-26T00:00:00ZIntelligence ? in AI ?Datta, Shoumenhttps://hdl.handle.net/1721.1/1080002025-02-28T18:27:29Z2017-04-10T00:00:00ZIntelligence ? in AI ?
Datta, Shoumen
The elusive quest for intelligence in artificial intelligence.
In about a quarter century, we have witnessed the winter of AI (1990) being transformed and transported to the zenith of tabloid fodder about AI (2015). The discussion at hand is about the elements that constitute the canonical idea of intelligence.
2017-04-10T00:00:00ZDigital TwinsDatta, Shoumenhttps://hdl.handle.net/1721.1/1079892025-02-28T18:29:45Z2017-04-09T00:00:00ZDigital Twins
Datta, Shoumen
Multiple forms of digital transformation are imminent. Digital Twins represent one concept. It is gaining momentum because it may offer real-time transparency. Rapid diffusion of digital duplicates faces hurdles due to lack of semantic interoperability between architectures, standards and ontologies. The technologies necessary for automated discovery are in short supply.
Progression of the field depends on convergence of information technology, operational technology and protocol-agnostic telecommunications. Making sense of the data, ability to curate data and perform data analytics at the edge (or mist rather than in the fog or cloud) is key to value. Delivering engines to the edge are crucial for analytics at the edge when latency is critical. The confluence of these and other factors may chart the future path for Digital Twins. The number of unknown unknowns and the known unknowns in this process makes it imperative to create global infrastructures and organize groups to pursue the development of fundamental building blocks and new ideas through research.
2017-04-09T00:00:00ZCybersecurity - An Agents based Approach?Datta, Shoumenhttps://hdl.handle.net/1721.1/1079882025-02-28T18:29:45Z2017-04-09T00:00:00ZCybersecurity - An Agents based Approach?
Datta, Shoumen
Personal Security Agents as Modular Models representing People, Process, Atoms and Bits
The DDoS attack using an internet device on October 21, 2016, generated a flurry of suggestions from vast number of pundits. What if the attacks were not limited to social media sites but instead targeted heart monitors to deliver shocks to patients with cardiac arrhythmia? In this article the potential of personal security agents (PSA) is suggested as a modular tool to model people, process, bits and atoms (objects) with layers to address trust, privacy and security. Can we explore the potential of creating wrappers within these layers to include cognitive firewalls?
2017-04-09T00:00:00ZHealthcare and Medical IoTDatta, Shoumenhttps://hdl.handle.net/1721.1/1078932025-02-28T18:29:45Z2017-04-06T00:00:00ZHealthcare and Medical IoT
Datta, Shoumen
Detection of analytes in the context of nano-diagnostics for preventive medicine and global public health may be within our grasp. But, it appears to be far removed from the reality of the world where 80% of the people live (non-OECD nations). The 80% of the world, however, cannot ignore other afflictions, for example, cancer, diabetes, cardiovascular malfunctions and pulmonary diseases, to name a few. Which means, in the biomedical domain, the rest of the world must find ways to use therapeutic advances, for example, human induced adult pluripotent stem cells, plant based bio-pharmaceuticals, traditional biologics (monoclonal antibody producing autologous cells), metabolomic sensor networks (in vivo wireless communication networks monitoring analytes and transmitting data from inside the body), molecular robotics (ingested micro-machines removing intestinal polyps) and nano-machines for targeted apoptosis, precision cell death and time-sensitive drug delivery.
11 million children die each year from preventable causes. 70% of the deaths are due to 6 well documented diseases/causes. The mortality is concentrated in 10 countries. We have the tools and technologies to address this problem.
2017-04-06T00:00:00ZInternet of Things Collaborative Research Initiative (ICRI) at MIT Auto-ID LabsDatta, Shoumenhttps://hdl.handle.net/1721.1/1064962025-02-28T18:27:29Z2017-01-14T00:00:00ZInternet of Things Collaborative Research Initiative (ICRI) at MIT Auto-ID Labs
Datta, Shoumen
MIT Auto ID Labs continues the digital revolution started by the MIT Auto ID Center in 1999. The IoT Collaborative Research Initiative (ICRI) at the MIT Auto ID Labs owes its origin to the MIT Auto ID Center which coined the term IoT (internet of things) to represent a digital-by-design metaphor.
The mission of ICRI is to develop and contribute to the next big vision in digital transformation. Sweeping changes are imminent due to connectivity spawned by adopting IoT as a design metaphor. Big ideas pay big dividends but must begin, often, modestly. The launch of the IoT Collaborative Research Initiative (ICRI) at MIT Auto-ID Labs expect academic-industry relationships to fuel, support and prepare the stage for quantum leaps. The electric light was not a result of incremental improvement of candles. By addressing basic principles which are fundamentally different, we can aspire to shine the light on new roads, new lines of business and new advances for the future of the networked physical world and the networked social fabric.
2017-01-14T00:00:00ZDigital-by-Design, AI and Digital TwinsDatta, Shoumenhttps://hdl.handle.net/1721.1/1044292025-02-28T18:28:20Z2016-09-29T00:00:00ZDigital-by-Design, AI and Digital Twins
Datta, Shoumen
Is there intelligence in artificial intelligence? Is IoT a digital-by-design metaphor? Is digital transformation based on the principles and practice of connectivity? Are the terms digital twin, digital duplicate and digital proxy, synonymous? Explore the PDF "IoT is a Metaphor"
2016-09-29T00:00:00ZInternet of Systems (IoS) - Economic Re-equilibration Catalyzed by Internet of Things (IoT)Datta, Shoumenhttps://hdl.handle.net/1721.1/869352025-02-28T18:29:45Z2014-01-01T00:00:00ZInternet of Systems (IoS) - Economic Re-equilibration Catalyzed by Internet of Things (IoT)
Datta, Shoumen
How will the tapestry of humanity and the ethos of civilization evolve when billions of devices and trillions of sensors with quadrillion end points can connect events in our daily lives to the world around us and monitor our every heart beat or predict the next tsunami?
Do you know the answer to this question: How will the tapestry of humanity and the ethos of civilization evolve when billions of devices and trillions of sensors with quadrillion end points can connect events in our daily lives to the world around us and monitor our every heart beat or predict the next tsunami?
2014-01-01T00:00:00ZBEING DIGITAL - Nostradamus for the SoulDatta, Shoumenhttps://hdl.handle.net/1721.1/622512025-02-28T18:27:29Z2011-04-20T00:00:00ZBEING DIGITAL - Nostradamus for the Soul
Datta, Shoumen
Amorphous and near-fictional aggregation of relational applications with social media, networking and ebusiness services. Hypothetical seamless lifestyle scenarios highlight convergence of applications inevitable in the evolution of systems interoperability anchored by global conglomerates which may have the power to build open platforms and host the ecosystem of systems and cloud computing based analytics in order to serve emerging lifestyle attributes where relationship and real-time connections are key demands from customers who are global digital citizens.
Nostradamus for the Soul is about BEING DIGITAL. The story consists of multiple converging layers which include daily activities, for example retail, utilities, banking, mobile marketing, health, energy and household paraphernalia. The sum of all or part may represent consumer lifestyle systems in industrialized nations. It is not a mattter of if but when these systems become commonplace and integrated in the fabric of our daily lives. These are, therefore, predictions in the same spirit that Nostradamus predicted the President Barack Obama's Town Hall Meeeting in the offices of Facebook on 20 April 2011. Lifestyle systems includes events today, which will be viewed as a turning point in world history in a manner similar to the first live national television broadcast in the US on September 4, 1951 when President Harry Truman's speech at the Japanese Peace Treaty Conference in San Francisco, California was transmitted. Today we open a new window on Being Digital - fait accompli?
2011-04-20T00:00:00ZEnergy Self-Sufficiency : Catalyst for Energy Agnostic Global EconomyDatta, Shoumenhttps://hdl.handle.net/1721.1/622172025-02-28T18:29:45Z2011-04-15T00:00:00ZEnergy Self-Sufficiency : Catalyst for Energy Agnostic Global Economy
Datta, Shoumen
ABSTRACT
The concept of eAGE is easy to grasp if one appreciates the analogy of the distributed ability of computing at the hands of any individual who owns an iPad or notebook computer versus the ENIAC which weighed 30 tons. We propose development of energy products which could distribute the ability to manufacture energy in the form of domestic appliances to usher in micro-energy autonomy which may evolve as a segue to eAGE or energy agnostic global economy. Micro-energy autonomy may relieve the volatility linked to the price of fossil fuels, petroleum in particular. We propose to create tools and mechanisms which may not be restricted by intellectual property (IP) rights and disseminate the technology worldwide as a small business innovation.
If individuals, households and small businesses are equipped to manufacture non-fossil renewable energy (for example, butanol) which is adequate for their needs (to power appliances and automobiles, lighting, heating, cooling) then we may suffer less from the vagaries currently associated with energy and fossil fuels. Carbon-neutral non-fossil energy sources may also help sustainability by reducing excessive emission of green house gases. A key outcome of microscale energy production capability is a potential paradigm shift where sourcing and distribution of energy is no longer controlled by a few global behemoths or cartels. We propose energy self-sufficiency or microscale energy autonomy as a pragmatic approach to distributed energy production through manufacturing of butanol and related liquid fuels. Microscale energy production may not be a panacea and may not alleviate all the ills we associate with fossil fuels but its impact on the environment may be quite significant. Microscale energy production can serve the global domestic demand of 7+ billion people and pave the way for energy self-sufficiency, albeit, in part. It is possible to implement microscale energy production with tools at hand. The potential of microscale energy production encourages us to remain cautiously optimistic about the scalability of the process which may eventually unleash macro-scale manufacturing of non-fossil fuel. The latter may boost an emerging energy agnostic global economy where development and freedom may be free from economic woes due to energy volatility and may no longer held hostage by the availability of energy resources or the threat of environmental embargo.
2011-04-15T00:00:00ZEnergy 2050: Bio-inspired Renewable Non-Fossil Liquid FuelDatta, Shoumenhttps://hdl.handle.net/1721.1/598042025-02-28T18:28:21Z2011-01-01T00:00:00ZEnergy 2050: Bio-inspired Renewable Non-Fossil Liquid Fuel
Datta, Shoumen
We propose an intelligent Energy Transparency model and a bio-inspired hypothetical mechanical mitochondria to optimize energy efficiency. iET seeks learning algorithms to build intelligence in order to pursue carbon-based savings. Unlike inGrid and its long term impact, an intelligent Energy Transparency (iET) portal may yield value within a short term. Profits from energy efficiency may not materialize without implementing the tools. Without quantitative analysis, policy provides poor guidance. With the help of analytics, policy issues may be formalized and aid the development of future intelligent systems. Development of data driven decision criteria and tools to interface with inGrid may in turn influence the evolution of the mitochondria. Building artificial neural networks (ANN) based tools may empower iET mediated pattern analysis for decision support.
Non-vegetation related manufacture of glucose may emerge as a lucrative future line of business with further advances in metabolic engineering [18]. Nano chloroplast aided glucose-on-a-chip production may change the physical state of electricity from solar energy to the chemical state (chemical bonds). It may enable storage and transmission with minimal loss. This bio-inspired in vitro photosynthetic nano-chip may emerge as a disruptive innovation in solar energy capture and distribution. Hence, glucose, in some form or the other, may be essential as a carbon source for metabolically bio-engineered bacteria to produce non-fossil renewable liquid fuel for the future as we approach the fossil fuel depleted post-2050 era.
Convergence of knowledge from the principles of transcriptional regulation in biology and medicine is enabling metabolic engineering in yeast and microorganisms to unleash the vast potential of manufacturing non-fossil renewable liquid bio-fuel. Fusion-fission (FuFi) and the hydrogen economy may not eliminate the need for liquid fuel in the post-2050 era when what could be left from the halcyon days of petroleum may be found only at the bottom of the barrel.
2011-01-01T00:00:00ZFuture HealthcareDatta, Shoumenhttps://hdl.handle.net/1721.1/589722025-02-28T18:28:21Z2010-12-15T00:00:00ZFuture Healthcare
Datta, Shoumen
Patients want answers, not numbers. Evidence-based medicine must have numbers to generate answers. Therefore, analysis of numbers to provide answers is the Holy Grail of healthcare professionals and its future systems. Lack of action due to paralysis from analysis of risk associated with the complexities in healthcare is no longer acceptable in view of spiraling costs. Generating data without improving
the quality of healthcare service and extracting its value for business benefits will not provide the return on investment (ROI). Distributed data and their relationships
are dispersed in multiple network of systems or system of systems (SOS).
The role of data analysis is central. The comatose stage of the Information Age due to data overload and information overdose is predicting its demise unless new ideas emerge as its savior. The imminent death of the information age makes it imperative to better understand the systems age. The single most important system
that deserves our attention in the twenty-first century is the healthcare ecosystem.
The convergence of characteristics such as enterprise, innovation, research,
and entrepreneurship (EIRE), often common in organizations with foresight in
parallel with the vision to drive convergence of biomedical sciences, engineering,
and information communication technologies, may act as the purveyor to advance
healthcare for the progress of civilization.
Contents
Introduction
Problem Space
Background Existing EMR
Data and Information
Wireless Monitoring
Molecular Semantics
Auxiliary Space
Potential for Growth
Back to Basics
Conclusion
Acknowledgment
References
2010-12-15T00:00:00ZAUTO ID FUTURE - FREQUENCY AGNOSTICDATTA, SHOUMENhttps://hdl.handle.net/1721.1/575082025-02-28T18:28:20Z2008-05-01T00:00:00ZAUTO ID FUTURE - FREQUENCY AGNOSTIC
DATTA, SHOUMEN
Identification of information is one key to the development of intelligent decision systems of the future. Frequency agnostic automatic identification is only one step in the physical world to make physical objects identify themselves on the internet of things.
Identification of information is one key to the development of intelligent decision systems of the future. Frequency agnostic automatic identification is only one step in the physical world to make physical objects identify themselves on the internet of things.
2008-05-01T00:00:00ZUNLEARN, RELEARN, LEARN AGAINDatta, Shoumenhttps://hdl.handle.net/1721.1/562532025-02-28T18:28:21Z2010-07-08T00:00:00ZUNLEARN, RELEARN, LEARN AGAIN
Datta, Shoumen
2010-07-08T00:00:00ZCharlie's Skypeout StrategyDatta, Shoumenhttps://hdl.handle.net/1721.1/562512025-02-28T18:28:21Z2006-10-01T00:00:00ZCharlie's Skypeout Strategy
Datta, Shoumen
One view of the future of decision systems that
hints how combinatorial convergence of tools, technologies,
concepts and ideas may catalyse innovation in order
to make better decisions. I have simply assembled
them in the context of various decision systems that may be
applicable to processes used in business, government,
manufacturing, defense, healthcare, security, logistics, services,
finance, supply chain, customs operations and related
pursuits. The possibility of iPhone and nano-philanthropy as a disruptive innovation for the non-profit sector is implied in this 2005 article.
The possibility of iPhone and nano-philanthropy (as a disruptive innovation for the non-profit sector) is implied in this 2005 article (iPhone was introduced by Apple on 9 January 2007).
2006-10-01T00:00:00ZInnovation: in his ordo est ordinem non servareDatta, Shoumenhttps://hdl.handle.net/1721.1/548372025-02-28T18:28:21Z2010-05-22T18:47:16ZInnovation: in his ordo est ordinem non servare
Datta, Shoumen
Suggestions for innovation and change in education.
2010-05-22T18:47:16ZSNAPDatta, Shoumenhttps://hdl.handle.net/1721.1/548022025-02-28T18:29:46Z2010-05-18T01:54:29ZSNAP
Datta, Shoumen
Suggestion for public education to consider ubiquitous computing in its innovation curriculum.
2010-05-18T01:54:29ZFuture of Healthcare?Datta, Shoumenhttps://hdl.handle.net/1721.1/548012025-02-28T18:27:29Z2010-05-18T01:48:03ZFuture of Healthcare?
Datta, Shoumen
Catalyzing the paradigm shift from healthcare to health may help reduce cost of services. Remote monitoring coupled with intelligent analytics based on sensor data may provide partial solutions.
2010-05-18T01:48:03ZIs Energy Efficiency Necessary?Datta, Shoumenhttps://hdl.handle.net/1721.1/548002025-02-28T18:27:29Z2010-05-18T01:39:50ZIs Energy Efficiency Necessary?
Datta, Shoumen
Introduction to US energy scenario and suggesting why we need efficiency.
2010-05-18T01:39:50ZBio-Inspired Energy DynamicsDatta, Shoumenhttps://hdl.handle.net/1721.1/533292025-02-28T18:27:29Z2010-03-27T23:01:57ZBio-Inspired Energy Dynamics
Datta, Shoumen
Energy policies based on empirical assumptions without a foundation in granular real-time data may be limited in scope. It may sputter ineffectively in its role as the engine of energy economics. For energy efficiency and conservation, it is increasingly necessary to invest in systems, tools and practices that can facilitate bi- or multi- directional flow of energy to control or balance consumption to reduce the carbon footprint. The central dogma of an energy oligopoly and uni-directional distribution through the electricity grid is poised for a radical overhaul. An “internet” of electricity capable of executing differential distribution strategies from capacity generated by micro-supplier networks and electricity producers may evolve from the proposed Smart Grid. The future intelligent Grid (inGrid) is imminent. Development of methodologies using technologies based on rigorous scientific standards must be coupled with effective dissemination of tools and then adopted by consumers who will allow the acquisition of granular real-time data to enable feedback decision support or resource optimization. Automation driven by intelligent decision systems is key to efficacy. We advocate a closer look at the energy regulation within cells and call for the emergence of a mechanical mitochondria and convergence of innovation through service science, which may co-evolve with inGrid. It may be an amorphous nexus of engineering and management with the needs of society, industry and government. Higher levels of decision support, necessary both for strategists (policy makers) and engineers (inGrid operators) may be impotent or without global impact if we fail to promote diffusion of a grass-roots approach to seed one or more methodologies necessary to acquire data from a critical mass of users (in each environmental category from each major geographical region). Intelligent Energy Transparency (iET) should evolve to provide decision makers a secure mobile dashboard for real-time multi-directional flow and to balance the demand. Finally, however, the future of energy efficiency may be quite bleak without innovation in energy forms. We propose a convergence of solar energy with metabolic engineering for renewable liquid fuel production in the petroleum-depleted (?) post-2050 era.
Changing the energy form factor (in certain instances) may be helpful. This working paper suggests the potential to change the "physics" of energy to "chemistry" in order to better utilize solar power.
2010-03-27T23:01:57ZINGRID ENERGY EFFICIENCY: QUEST FOR INTELLIGENT MITOCHONDRIADATTA, SHOUMENhttps://hdl.handle.net/1721.1/455522025-02-28T18:29:46Z2009-06-04T14:41:01ZINGRID ENERGY EFFICIENCY: QUEST FOR INTELLIGENT MITOCHONDRIA
DATTA, SHOUMEN
Policies based on empirical assumptions without a foundation in granular real-time data may be limited in scope. It may sputter ineffectively in its role as the engine of energy economics. For energy efficiency and conservation, it is increasingly necessary to invest in systems, tools and practices that can facilitate bi- or multi-directional flow of energy to control or balance consumption with the goal to reduce carbon footprint. The central dogma of an energy oligopoly and uni-directional distribution through the electricity grid is poised for a radical overhaul. An “internet” of electricity capable of executing differential distribution strategies from capacity generated by a network of micro-suppliers and electricity producers may evolve from the proposed Smart Grid infrastructure. The future Intelligent Grid (INGRID) is a step toward the obvious. Development of methodologies using technologies based on rigorous scientific standards must be coupled with effective dissemination of tools and adopted by consumers to acquire real-time monitoring data for analyses and feedback decision support. Automation driven by intelligent systems is key to the efficacy of INGRID. We advocate the emergence of mitochondria and a convergence of innovation through service science, which may evolve with INGRID. It represents an amorphous nexus of engineering and management with the needs of society, industry and government. Higher levels of decision support, necessary both for strategists (policy makers) and engineers (INGRID operators), may be impotent or without global impact if we fail to promote diffusion of a “grass-roots” approach to seed one or more methodologies necessary to acquire data from a critical mass of users in each environmental category (domestic, industrial, hospital) from each major geographical region.
Using data from energy measurements, in addition to other policy and parameters, INGRID may spur economic growth by catalysing energy efficiency. Users may pay even less for electricity. Ingrid may accumulate carbon micro-credits for her i-house through an entrepreneurial environmental cooperative for energy eBusiness (which trades in carbon options) and use banked carbon credits to offset the carbon footprint each time she needs to fly. INGRID pursues the intelligent mitochondria, an era when Jane and Joe can generate energy from a variety of sources including renewables and profit from auctioning their excess (capacity) electricity on the hypothetical portal power.on.eBay while contributing to the global deal to reduce greenhouse gas (GHG) emissions. Micro-generation of electricity, micro-sales and distribution via INGRID may have positive economic consequences for some rural regions and eventually, for some remote parts of the world. Rural economic revitalization commences with the investment to generate energy from rural areas by harvesting unused natural resources (wind, solar) and agri-waste (biofuels). Non-fossil energy may find its way to power the air conditioner in room 8080 of a city-based conglomerate if waste-lands can grow oil weeds. INGRID requires a mechanical mitochondria to evolve as the regulatory hub to balance energy needs, exercise control and optimize efficiency. Today, we may still hear the question: are you connected to the Internet? In the future, the question may be: are you connected to the INGRID?
2009-06-04T14:41:01ZUNFCCC Observer: Submission of Information and ViewsDATTA, SHOUMENhttps://hdl.handle.net/1721.1/455512025-02-28T18:28:21Z2009-06-02T12:37:21ZUNFCCC Observer: Submission of Information and Views
DATTA, SHOUMEN
Submission of Information and Views to the UNFCCC
Energy Efficiency
2009-06-02T12:37:21ZINGRID ENERGY EFFICIENCY: QUEST FOR INTELLIGENT MITOCHONDRIADATTA, SHOUMENhttps://hdl.handle.net/1721.1/455502025-02-28T18:28:20Z2009-06-01T21:13:36ZINGRID ENERGY EFFICIENCY: QUEST FOR INTELLIGENT MITOCHONDRIA
DATTA, SHOUMEN
Policies based on empirical assumptions without a foundation in granular real-time data may be limited in scope. It may sputter ineffectively in its role as the engine of energy economics. For energy efficiency and conservation, it is increasingly necessary to invest in systems, tools and practices that can facilitate bi- or multi-directional flow of energy to control or balance consumption with the goal to reduce carbon footprint. The central dogma of an energy oligopoly and uni-directional distribution through the electricity grid is poised for a radical overhaul. An “internet” of electricity capable of executing differential distribution strategies from capacity generated by a network of micro-suppliers and electricity producers may evolve from the proposed Smart Grid infrastructure. The future Intelligent Grid (INGRID) is a step toward the obvious. Development of methodologies using technologies based on rigorous scientific standards must be coupled with effective dissemination of tools and adopted by consumers to acquire real-time monitoring data for analyses and feedback decision support. Automation driven by intelligent systems is key to the efficacy of INGRID. We advocate the emergence of mitochondria and a convergence of innovation through service science, which may evolve with INGRID. It represents an amorphous nexus of engineering and management with the needs of society, industry and government. Higher levels of decision support, necessary both for strategists (policy makers) and engineers (INGRID operators), may be impotent or without global impact if we fail to promote diffusion of a “grass-roots” approach to seed one or more methodologies necessary to acquire data from a critical mass of users in each environmental category (domestic, industrial, hospital) from each major geographical region.
Using data from energy measurements, in addition to other policy and parameters, INGRID may spur economic growth by catalysing energy efficiency. Users may pay even less for electricity. Ingrid may accumulate carbon micro-credits for her i-house through an entrepreneurial environmental cooperative for energy eBusiness (which trades in carbon options) and use banked carbon credits to offset the carbon footprint each time she needs to fly. INGRID pursues the intelligent mitochondria, an era when Jane and Joe can generate energy from a variety of sources including renewables and profit from auctioning their excess (capacity) electricity on the hypothetical portal power.on.eBay while contributing to the global deal to reduce greenhouse gas (GHG) emissions.
Micro-generation of electricity, micro-sales and distribution via INGRID may have positive economic consequences for some rural regions and eventually, for some remote parts of the world. Rural economic revitalization commences with the investment to generate energy from rural areas by harvesting unused natural resources (wind, solar) and agri-waste (biofuels). Non-fossil energy may find its way to power the air conditioner in room 8080 of a city-based conglomerate if waste-lands can grow oil weeds. INGRID requires a mechanical mitochondria to evolve as the regulatory hub to balance energy needs, exercise control and optimize efficiency. Today, we may still hear the question: are you connected to the Internet? In the future, the question may be: are you connected to the INGRID?
2009-06-01T21:13:36ZARM-CHAIR ESSAYS IN ENERGYDATTA, SHOUMENhttps://hdl.handle.net/1721.1/455122025-02-28T18:27:29Z2009-05-08T04:04:14ZARM-CHAIR ESSAYS IN ENERGY
DATTA, SHOUMEN
Essays in Energy
Three different discussions about the various dimensions of the energy debate.
2009-05-08T04:04:14ZINGRID and the Zen of EnergyDATTA, SHOUMENhttps://hdl.handle.net/1721.1/455112025-02-28T18:27:29Z2009-05-08T04:00:46ZINGRID and the Zen of Energy
DATTA, SHOUMEN
Policies based on empirical assumptions without a foundation in granular real-time data may be limited in scope. It may sputter ineffectively in its role as the engine of energy economics. For energy efficiency and conservation, it is increasingly necessary to invest in systems, tools and practices that can facilitate bi- or multi-directional flow of energy to control or balance consumption with the goal to reduce carbon footprint. The central dogma of an energy oligopoly and uni-directional distribution through the electricity grid is poised for a radical overhaul. An “internet” of electricity capable of executing differential distribution strategies from capacity generated by a network of micro-suppliers and electricity producers may evolve from the proposed Smart Grid infrastructure. The future Intelligent Grid (INGRID) is a step toward the obvious. Development of methodologies using technologies based on rigorous scientific standards must be coupled with effective dissemination of tools and adopted by consumers to acquire real-time monitoring data for analyses and feedback decision support. Automation driven by intelligent systems is key to the efficacy of INGRID. In this essay, we advocate a convergence of innovation through service science, which may evolve in parallel with INGRID, representing an amorphous nexus of engineering and management with the needs of society, industry and government. Higher levels of decision support, necessary both for strategists (policy makers) and engineers (INGRID operators), may be impotent or without global impact if we fail to promote diffusion of a “grass-roots” approach to seed one or more methodologies necessary to acquire data from a critical mass of users in each environmental category (domestic, industrial, hospital) from each major geographical region.
Climate change is a global phenomenon with profound local impact. The relatively slow rate of climate change in combination with the nature of factors responsible for the problem, in part, makes it difficult for managers to invest their limited resources to implement enabling technologies necessary to address environmental responsibility unless the investment can be linked with a financial incentive, for example, savings from energy efficiency. Various forms of legislation are making their way through governments to mandate some elements of efficiency. The impact of regulation will extract a price which will influence the cost of all goods and services. The science and engineering developments necessary to mitigate climate change will usher in a convergence through innovation in service science. A catalyst in the information and communication revolution was the Internet. Although embryonic, evolution in climate control strategy may find part of its solution in the ‘internet of electricity’ through the emergence of INGRID, the intelligent grid. INGRID is not without its problems and is only one component in the global energy debate. In addition to the staggering cost of infrastructure, issues arising from synchronization and automation of micro-generation, storage with minimal loss, dynamic distribution, differential pricing and auctions, collectively, presents technical challenges for systems engineers and energy e-business entrepreneurs.
2009-05-08T04:00:46ZEnergy : Prudence vs PopularityDatta, Shoumenhttps://hdl.handle.net/1721.1/439782025-02-28T18:28:22Z2009-01-19T09:41:31ZEnergy : Prudence vs Popularity
Datta, Shoumen
Two approaches to non-fossil energy manufacturing are suggested. This is an editorial-opinion that highlights why stimulating global economic growth and sustainable global peace are inextricably linked.
Entrapment of world leaders caught in the net of their polling data works wonders
to push popular measures rather than the balanced choices, the prudent options.
Energy deprivation is one cause whose effects are staggering. Energy politics is a
reason why a third of the world struggles to survive on about a dollar a day or less
than one meal a day. There are no major insurmountable barriers to alleviate this
dysfunctional energy dynamics except the ignorance of a few who choose to remain
scientifically illiterate. But governments are pawns in their hands! They are skilled
rebel rousers and formidable political operators. They are brilliant in massaging
public opinion and hence, polling figures, to force the implementation of policies
that fuels riots, wars, poverty and hunger but detracts from manufacturing energy.
Stimulating economic growth and sustainable global peace are inextricably linked.
Entrapment of world leaders caught in the net of their polling data works wonders
to push popular measures rather than the balanced choices, the prudent options.
Energy deprivation is one cause whose effects are staggering. Energy politics is a
reason why a third of the world struggles to survive on about a dollar a day or less
than one meal a day. There are no major insurmountable barriers to alleviate this
dysfunctional energy dynamics except the ignorance of a few who choose to remain
scientifically illiterate. But governments are pawns in their hands! They are skilled
rebel rousers and formidable political operators. They are brilliant in massaging
public opinion and hence, polling figures, to force the implementation of policies
that fuels riots, wars, poverty and hunger but detracts from manufacturing energy.
2009-01-19T09:41:31ZCARBONOMICSDATTA, SHOUMENhttps://hdl.handle.net/1721.1/439522025-02-28T18:28:22Z2009-01-08T20:27:23ZCARBONOMICS
DATTA, SHOUMEN
Carbon Pricing: Necessary now but Ineffective Incentive
The solution to the terawatt challenge, at hand?
2009-01-08T20:27:23ZGARCH PROOF OF CONCEPT _ UPDATED 18 DEC 2008Datta, Shoumenhttps://hdl.handle.net/1721.1/439482025-02-28T18:28:21Z2008-12-18T12:21:37ZGARCH PROOF OF CONCEPT _ UPDATED 18 DEC 2008
Datta, Shoumen
Proof that application of GARCH technique offers potential for profitability. Forecasting is an underestimated field of research in supply chain management. Recently advanced methods are coming into use. Initial results presented in this chapter are encouraging, but may require changes in policies for collaboration and transparency. In this chapter we explore advanced forecasting tools for decision support in supply chain scenarios and provide preliminary simulation results from their impact on demand amplification. Preliminary results presented in this chapter, suggests that advanced methods may be useful to predict oscillated demand but their performance may be constrained by current structural and operating policies as well as limited availability of data. Improvements to reduce demand amplification, for example, may decrease the risk of out of stock but increase operating cost or risk of excess inventory.
Making sense of data may benefit from high volume data acquisition and analysis using GARCH and VAR-MGARCH (Datta et al 2007) techniques in addition to and in combination with other tools for forecasting and risk analysis in diverse verticals that may span from healthcare to energy (Datta 2008e). In this work, we explored the possibility of using advanced forecasting methods in context of supply chains and demonstrated financial profitability from use of the GARCH technique. It remains unexplored if concomitant business process transformation may be necessary to obtain even better results. The proposed advanced forecasting models, by their very construction require high volume data. Availability of high volume data may not be the limiting factor in view of the renewed interest in automatic identification technologies (AIT) that may facilitate acquisition of real-time data from products or objects with RFID tags or embedded sensors. It is no longer a speculation but based on proof that use of advanced forecasting methods may enhance profitability and ICT investments required to acquire real-time data may generate significant return on investment (ROI). However, understanding the “meaning” of the information from data is an area still steeped in quagmire but may begin to experience some clarity if the operational processes take advantage of the increasing diffusion of the semantic web and organic growth of ontological frameworks to support ambient intelligence in decision systems coupled to intelligent agent networks (Datta 2006). To move ahead, we propose to bolster the GARCH proof of concepts through pilot implementations of analytical engines in diverse verticals and explore advanced forecasting models as an integrated part and parcel of real-world business processes and systems including the emerging field of carbonomics (Datta 2008f).
2008-12-18T12:21:37ZNano-sensoromics: Is it Conceptually Similar to Carbonomics?Datta, Shoumenhttps://hdl.handle.net/1721.1/439452025-02-28T18:29:46Z2008-12-15T17:05:16ZNano-sensoromics: Is it Conceptually Similar to Carbonomics?
Datta, Shoumen
Conceptual systems thinking evoking an amalgam of data analytics in healthcare vs energy
Outline of potential for confluence of ideas
2008-12-15T17:05:16ZCan We Apply Principles From Social Networking To Healthcare Informatics For Intelligent Data Analytics?Shields, AndrewDatta, Shoumenhttps://hdl.handle.net/1721.1/439442025-02-28T18:27:29Z2008-12-14T15:57:31ZCan We Apply Principles From Social Networking To Healthcare Informatics For Intelligent Data Analytics?
Shields, Andrew; Datta, Shoumen
Extracting the principles associated with complexity theory and swarm intelligence has offered practical solutions for routing and scheduling. Reality mining and its link with social networking relationships may yield pragmatic ideas applicable to many fields including business services and healthcare analytics. In healthcare, the focus is on the patient and physiological systems generate patient data. Since human physiology is highly integrated and always strives to maintain biologically relevant equilibrium, it follows, naturally, that physiological data and variables are likely to be co-integrated. Because physiological systems always strive to maintain homeostasis, it follows, that the focus of physiology is to attain equilibrium where various interacting components possess information about the functional status of other components. The physiological state, may, therefore, be viewed as a healthcare service system which is amenable to data analytics using the principles of Nash Equilibrium. In sharp contrast, the healthcare industry, like most businesses, suffers from chronic information asymmetry of data and information about its supply chain network. Information asymmetry in the complex and inter-related healthcare network may offer grounds to explore potential benefits to the industry if information asymmetry could be reduced through appropriate acquisition of data including real-time data. Availability of high volume data may improve forecasting in healthcare sectors related both to service and the business. But, while the innovation for service may draw inspiration from information symmetry, the techniques to reduce volatility in the healthcare business must address information asymmetry. In both cases, potential use of advanced econometric tools (generalized autoregressive conditional heteroskedascity or GARCH) may be applicable. The network in healthcare relates both to physiological circuitry and the business relationships. Both networks may be evaluated in the context of the structures of social networking to elucidate if such principles may add value to healthcare analytics.
Ubiquitous sensor networks have the potential to generate vast streams of data. Making sense of the data represents a considerable challenge. In one approach, some may react only to exceptions. A low-level data mining layer may abstract data into “cubes” of information suitable for reality mining agents to analyse and catalyse decision support. The future of an integrated reality-online analytical framework may concomitantly support remote experts, real-time teams and insight-based or intelligence-trained feedback for point-of-contact (POC) decision makers to improve patient-specific services.
The ill-formulated amorphous challenge presented in this working paper relies on (and expects to trigger further development by) individuals who have a breadth of interest and are gifted with the ability to construct fruitful analogies between fields while extracting pragmatic applications to balance cost versus ethics while serving the vastly divergent domains spanned by healthcare: healthcare industry economics conscious of cost and healthcare as a patient-centric service defined by ethical globalization.
2008-12-14T15:57:31ZGARCH Proof of ConceptDatta, Shoumenhttps://hdl.handle.net/1721.1/439432025-02-28T18:27:29Z2008-12-14T15:51:16ZGARCH Proof of Concept
Datta, Shoumen
Forecasting is an underestimated field of research in supply chain management. Recently advanced methods are coming into use. Initial results presented in this chapter are encouraging, but may require changes in policies for collaboration and transparency. In this chapter we explore advanced forecasting tools for decision support in supply chain scenarios and provide preliminary simulation results from their impact on demand amplification. Preliminary results presented in this chapter, suggests that advanced methods may be useful to predict oscillated demand but their performance may be constrained by current structural and operating policies as well as limited availability of data. Improvements to reduce demand amplification, for example, may decrease the risk of out of stock but increase operating cost or risk of excess inventory.
Making sense of data may benefit from high volume data acquisition and analysis using GARCH and VAR-MGARCH (Datta et al 2007) techniques in addition to and in combination with other tools for forecasting and risk analysis. In this work, we explored the possibility of using advanced forecasting methods in a context of supply chains. It remains unexplored if concomitant business process transformation may be necessary to obtain better results. The proposed advanced forecasting models, by its very construction requires high volume data. Availability of high volume data may not be the limiting factor in view of the renewed interest in automatic identification technologies (AIT) that may facilitate acquisition of real-time data from products or objects with RFID tags or sensors. Although speculative, it stands to reason that use of advanced forecasting methods may enhance profitability from IT investments required to acquire real-time data. However, understanding the “meaning” of the information from data is an area still steeped in quagmire but may soon begin to experience some clarity if the operational processes take advantage of the increasing diffusion of the semantic web and organic growth of ontological frameworks to support ambient intelligence in decision systems coupled to intelligent agent networks (Datta 2006). To move ahead, we propose to bolster the GARCH proof of concepts through pilot implementations of analytical engines in diverse verticals and explore advanced forecasting models through integration with real-world business data, processes and systems.
2008-12-14T15:51:16ZTranscription, Metabolomics and Wireless Nano-Sensor NetworksDatta, Shoumenhttps://hdl.handle.net/1721.1/439422025-02-28T18:29:45Z2008-12-14T15:45:39ZTranscription, Metabolomics and Wireless Nano-Sensor Networks
Datta, Shoumen
Identifying molecular targets for infectious and other diseases
A proposal to identify malaria specific targets for potential therapeutic solution
2008-12-14T15:45:39ZBiofuel Sources and Demand: Rough Comparison between India and ChinaDatta, Shoumenhttps://hdl.handle.net/1721.1/429042025-02-28T18:28:22Z2008-11-05T14:53:48ZBiofuel Sources and Demand: Rough Comparison between India and China
Datta, Shoumen
Staggering numbers of demand vs supply
2008-11-05T14:53:48ZChemistry is the Key to the Energy EconomyDatta, Shoumenhttps://hdl.handle.net/1721.1/429032025-02-28T18:27:29Z2008-11-05T14:48:41ZChemistry is the Key to the Energy Economy
Datta, Shoumen
Stops on the road to fusion energy include biofuels, metabolic engineering and hydrogen.
2008-11-05T14:48:41ZNegative and Positive Transcriptional Regulation by Thyroid Hormone Receptor IsoformsRentoumis, AnneChatterjee, V. Krishna K.Madison, Laird D.Datta, ShoumenGallagher, Gloria D.DeGroot, Leslie J.Jameson, J. Larryhttps://hdl.handle.net/1721.1/429022025-02-28T18:28:21Z1990-01-01T00:00:00ZNegative and Positive Transcriptional Regulation by Thyroid Hormone Receptor Isoforms
Rentoumis, Anne; Chatterjee, V. Krishna K.; Madison, Laird D.; Datta, Shoumen; Gallagher, Gloria D.; DeGroot, Leslie J.; Jameson, J. Larry
Negative and positive regulations by multiple forms of thyroid hormone receptors.
1990-01-01T00:00:00ZHuman Thyroid Hormone Beta-1 Receptor Produced by Recombinant Baculovirus-infected CellsJasper, zu PutlitzDatta, ShoumenMadison, Laird D.Macchia, E.Jameson, J. Larryhttps://hdl.handle.net/1721.1/429012025-02-28T18:29:45Z1991-02-28T00:00:00ZHuman Thyroid Hormone Beta-1 Receptor Produced by Recombinant Baculovirus-infected Cells
Jasper, zu Putlitz; Datta, Shoumen; Madison, Laird D.; Macchia, E.; Jameson, J. Larry
Transcriptional regulation in vitro
1991-02-28T00:00:00ZThyroid Hormone Resistance SyndromeChatterjee, V. Krishna K.Nagaya, TakashiMadison, Laird D.Datta, ShoumenRentoumis, AnneJameson, Larry J.https://hdl.handle.net/1721.1/429002025-02-28T18:27:29Z1991-06-01T00:00:00ZThyroid Hormone Resistance Syndrome
Chatterjee, V. Krishna K.; Nagaya, Takashi; Madison, Laird D.; Datta, Shoumen; Rentoumis, Anne; Jameson, Larry J.
Thyroid hormone (T3) resistance is inherited in most cases in an
autosomal dominant manner. The disorder is characterized by
elevated free thyroid hormone levels and partial resistance to
thyroid hormone at the cellular level. Distinct single amino acid
substitutions in the ligand binding domain of the ft form of the
thyroid hormone receptor have been described in two kindreds
with this disorder. We used transient expression assays to characterize
the functional properties of these receptor mutants,
one containing a Gly to Arg change at amino acid 340 (G340R)
and the other a Pro to His change at amino acid 448 (P448H).
A nine amino acid carboxy terminal deletion (A448456), analogous
to an alteration that occurs in v-erbA, was also studied for
comparison with the mutations that occur in the T3 resistance
syndrome. None of the receptor mutants were able to mediate
thyroid hormone dependent activation (TreTKCAT) or repression
(TSHaCAT) of reporter genes when compared with the
wild type receptor. In addition, the mutants inhibited the activity
of normal a and (3 receptor isoforms when examined in coexpression
assays. This activity, referred to as dominant negative
inhibition, was manifest with respect to both the positively and
negatively regulated reporter genes. Although mutant receptor
binding to DNA was unaffected, ligand binding studies showed
that the G340R and A448456 mutants failed to bind T3,
whereas the P448H mutant bound hormone with reduced affinity
(- 10% of normal) compared to the wild type receptor. Consistent
with this finding, the P448H mutant receptor was partially
active at higher T3 concentrations. Furthermore, the dominant
negative inhibition elicited by the P448H receptor mutant
at higher T3 concentrations was reversed in the presence of high
doses of T3. These findings indicate that mutant (3 receptors in
patients with thyroid hormone resistance have reduced affinity
for T3 and are functionally deficient, but impair the activity of
normal receptors, thereby providing a mechanism for the dominant
mode of inheritance in this disorder. (J. Clin. Invest. 1991.
87:1977-1984.) Key words: transcriptional regulation - erbA -
thyroid-stimulating hormone - thyroid hormone resistance * thyroid
hormone
Thyroid hormone (T3) resistance is inherited in most cases in an
autosomal dominant manner. The disorder is characterized by
elevated free thyroid hormone levels and partial resistance to
thyroid hormone at the cellular level. Distinct single amino acid
substitutions in the ligand binding domain of the ft form of the
thyroid hormone receptor have been described in two kindreds
with this disorder. We used transient expression assays to characterize
the functional properties of these receptor mutants,
one containing a Gly to Arg change at amino acid 340 (G340R)
and the other a Pro to His change at amino acid 448 (P448H).
A nine amino acid carboxy terminal deletion (A448456), analogous
to an alteration that occurs in v-erbA, was also studied for
comparison with the mutations that occur in the T3 resistance
syndrome. None of the receptor mutants were able to mediate
thyroid hormone dependent activation (TreTKCAT) or repression
(TSHaCAT) of reporter genes when compared with the
wild type receptor. In addition, the mutants inhibited the activity
of normal a and (3 receptor isoforms when examined in coexpression
assays. This activity, referred to as dominant negative
inhibition, was manifest with respect to both the positively and
negatively regulated reporter genes. Although mutant receptor
binding to DNA was unaffected, ligand binding studies showed
that the G340R and A448456 mutants failed to bind T3,
whereas the P448H mutant bound hormone with reduced affinity
(- 10% of normal) compared to the wild type receptor. Consistent
with this finding, the P448H mutant receptor was partially
active at higher T3 concentrations. Furthermore, the dominant
negative inhibition elicited by the P448H receptor mutant
at higher T3 concentrations was reversed in the presence of high
doses of T3. These findings indicate that mutant (3 receptors in
patients with thyroid hormone resistance have reduced affinity
for T3 and are functionally deficient, but impair the activity of
normal receptors, thereby providing a mechanism for the dominant
mode of inheritance in this disorder. (J. Clin. Invest. 1991.
87:1977-1984.) Key words: transcriptional regulation - erbA -
thyroid-stimulating hormone - thyroid hormone resistance * thyroid
hormone
1991-06-01T00:00:00ZForecasting and Risk Analysis in Supply Chain ManagementHilmola, Olli-PekkaGraham, DonaldGranger, Clive W. J.Datta, Shoumenhttps://hdl.handle.net/1721.1/428992025-02-28T18:29:45Z2008-10-01T00:00:00ZForecasting and Risk Analysis in Supply Chain Management
Hilmola, Olli-Pekka; Graham, Donald; Granger, Clive W. J.; Datta, Shoumen
Forecasting is an underestimated field of research in supply chain management. Recently advanced methods are coming into use. Initial results are encouraging, but often require changes in policies for collaboration and transparency. In this paper we explore advanced forecasting tools for decision support in supply chain scenarios and provide preliminary simulation results from their impact on demand amplification. It appears that advanced methods may be useful to predict oscillated demand but their performance is constrained by current structural and operating policies. Improvements to reduce demand amplification, for example, may decrease the risk of out of stock but increase operating cost or risk of excess inventory.
Application of econometric principles and techniques (VAR-MGARCH) to risk analytics and forecasting in operations management, healthcare, security and other verticals.
2008-10-01T00:00:00ZA Purified Adenovirus 289-Amino-Acid ElA Protein Activates RNA Polymerase III Transcription In Vitro and Alters Transcription Factor TFIIICHARTER, MARIAN L.WANG, DUEN-MEISOONG, CHU-JINGDATTA, SHOUMENhttps://hdl.handle.net/1721.1/428352025-02-28T18:27:29Z1991-10-01T00:00:00ZA Purified Adenovirus 289-Amino-Acid ElA Protein Activates RNA Polymerase III Transcription In Vitro and Alters Transcription Factor TFIIIC
HARTER, MARIAN L.; WANG, DUEN-MEI; SOONG, CHU-JING; DATTA, SHOUMEN
We have previously demonstrated that a purified bacterially synthesized ElA 289-amino-acid protein is
capable of stimulating transcription from the promoters of genes transcribed by RNA polymerase II in vitro (R.
Spangler, M. Bruner, B. Dalie, and M. L. Harter, Science 237:1044-1046, 1987). In this study, we show that
this protein is also capable of transactivating in vitro the adenovirus virus-associated (VA1) RNA gene
transcribed by RNA polymerase UI. Pertinent to the transcription of this gene is the rate-limiting component,
TFIIIC, which appears to be of two distinct forms in uninfected HeLa cells. The addition of an oligonucleotide
containing a TFIIIC binding site to HeLa whole-cell extracts inhibits VAT transcription by sequestering
TFIIIC. However, the addition of purified ETA to extracts previously challenged with the TFIIIC oligonucleotide
restores the level of VAT transcription. When included in the same reaction, an ElA-specific monoclonal
antibody reverses the restoration. Incubation of purified ETA with either HeLa cell nuclear or whole-cell
extracts alters the DNA-binding properties of TFIIIC as detected by gel shift assays. This alteration does not
occur if ElA-specific antibody and ETA protein are added simultaneously to the extract. In contrast, the
addition of this antibody to extracts at a later time does not reverse the alteration observed in the TFIIIC
binding activities. Never at any time did we note the formation of novel TFIIIC-promoter complexes after the
addition of ETA to nuclear extracts. These results clearly establish that ETA mediates its effect on VAT
transcription through TFIIIC in a very rapid yet indirect manner. The results also establish that a bacterially
produced ETA protein can directly participate in RNA polymerase II transcription without the requirement of
celiular protein synthesis or other viral proteins.
RESEARCH PAPER
1991-10-01T00:00:00ZThyroid Hormone Receptor Mediates Transcriptional Activation and Repression of Different Promoters in vitroJAMESON, J. LARRYMADISON, LAIRDMAGGE, SHEILADATTA, SHOUMENhttps://hdl.handle.net/1721.1/428342025-02-28T18:28:20Z1992-01-01T00:00:00ZThyroid Hormone Receptor Mediates Transcriptional Activation and Repression of Different Promoters in vitro
JAMESON, J. LARRY; MADISON, LAIRD; MAGGE, SHEILA; DATTA, SHOUMEN
The thyroid hormone receptor (TR) has the dual
ability to activate or repress transcription of specific
genes. A cell-free transcription system was used to
study the effects of TR on transcription by positively
(TREpMLP) and negatively (TSHa) regulated promoters.
Receptor-deficient HeLa cell extracts were
complemented with baculovirus-produced TR. TR
stimulated transcription from the TREpMLP promoter
by 3-fold, and trans-activation did not require
hormone. Transcriptional stimulation by TR required
the presence of the TRE sequence and was diminished
by the addition of competitor TRE binding
sites. Baculovirus-produced TR repressed transcription
in vitro from the TSHCI promoter by 30-50%,
also in a hormone-independent manner. Transcription
from a control adenovirus 2 major late promoter
was unaffected by added TR. Receptor-specific antisera
and competition with TRE binding sites impaired
TR-mediated repression of the TSHcv promoter.
Unlike transcriptional stimulation, which was
optimal when TR and HeLa extracts were added
concomitantly, transcriptional repression by the TR
was most effective when the receptor was preincubated
with the u-promoter, suggesting that receptor
binding to the promoter may block access of other
proteins to cause transcriptional repression. These
results indicate that baculovirus-expressed TR mediates
transcriptional activation and repression in a
promoter-specific manner in vitro. This system provides
a valuable model for examining transcriptional
control by the TR. (Molecular Endocrinology 6: 615
625,1992)
RESEARCH PAPER
1992-01-01T00:00:00ZLearning by Teaching - eLearning and eTeachingDatta, Shoumenhttps://hdl.handle.net/1721.1/419302025-02-28T18:27:29Z2001-01-01T00:00:00ZLearning by Teaching - eLearning and eTeaching
Datta, Shoumen
2001-01-01T00:00:00ZWhy Supply ChainDatta, Shoumenhttps://hdl.handle.net/1721.1/419192025-02-28T18:27:29Z2000-01-01T00:00:00ZWhy Supply Chain
Datta, Shoumen
Why supply chain explains the importance of supply chains. It includes an introduction to ERP as designed by SAP.
Introductory tutorial to supply chain & ERP.
2000-01-01T00:00:00ZA Portfolio Approach for Purchasing Systems: Impact of Switching PointHilmola, Olli-PekkaMa, HongzeDatta, Shoumenhttps://hdl.handle.net/1721.1/419182025-02-28T18:28:21Z2008-08-01T15:47:35ZA Portfolio Approach for Purchasing Systems: Impact of Switching Point
Hilmola, Olli-Pekka; Ma, Hongze; Datta, Shoumen
In operations management different ordering policies, such as, economic order quantity, lot for lot and periodic ordering, are used in various combinations without deeper considerations for the likely consequences on cash flow and profitability. The success of these techniques is analyzed through
inventory levels and/or total cost. In this paper, we present results of simulation which uses three different product groups with varying demand characteristics, changing product margins and also
considers product quality failures (due to ordering, engineering change or customer requests). Based on our results, we suggest a portfolio approach where lot for lot policy may be useful in an early phase of the product life-cycle and later it may be an advantage to change over to economic order
quantity (EOQ) based ordering. However, demand sustainability and failure rates create instances where orders in larger economical lots may reduce profitability. Therefore, manufacturing may benefit from a portfolio of different purchase order policies and may evaluate the successful balance of policies using cash flow as a parameter. Accuracy of demand forecasting is vital to switching point estimation. Further research on real-world applications of advanced forecasting tools is advocated as well as a framework to develop the portfolio for intelligent purchasing systems.
Current tools of operations management do not offer insight for advanced decision making. One potential method for tracking
these signals may be the development of the GARCH technique (proven useful in financial risk management and awarded the 2003 Nobel Prize in Economics). Improving precision in predictive analytics may help in better execution of the switching point decision making (among other things) for much larger and more complex operations with vast number of decision parameters. The incorporation of ambient intelligence or algorithms from artificial intelligence may help purchasing
systems learn how to be autonomous and/or help human operators to decide between portfolio of approaches by evaluating decisionable information extracted from data analytics (acquired from a plethora of business processes). Taken together, these represent potentially interesting future steps.
2008-08-01T15:47:35ZDecision Support and Systems Interoperability in Global Business ManagementDatta, ShoumenLyu, JrJungPing-Shun, Chenhttps://hdl.handle.net/1721.1/419172025-02-28T18:29:45Z2007-01-01T00:00:00ZDecision Support and Systems Interoperability in Global Business Management
Datta, Shoumen; Lyu, JrJung; Ping-Shun, Chen
Globalization of business and volatility of
financial markets has catapulted ‘cycle-time’ as a key indicator of operational efficiency in business processes. Systems automation holds the promise to augment the ability of business and healthcare networks to rapidly adapt to changes or respond, with
minimal human intervention, under ideal conditions. Currently, system of systems (SOS) or organization of networks contribute minimally in making decisions because collaboration remains elusive due the
challenges of complexity. Convergence and maturity of research offers the potential for a paradigm shift in interoperability. This paper explores some of these trends and related technologies. Irrespective of the
characteristics of information systems, the
development of various industry-contributed
ontologies for knowledge and decision layers, may spur self-organizing SOS to increase the ability to sense and respond. Profitability from pervasive use of
ontological frameworks and agent-based modeling may depend on the ability to use them through better enterprise and extraprise exchange.
Development of ontologies that represent the
knowledge of the problem space may facilitate use of agent systems within the semantic web infrastructure. Supply chain operations involving buyers and sellers separated by geography and political boundaries must waddle through a host of process intermediaries (finance, logistics, compliance, security) yet reduce cycle times to boost efficiency and hence profitability. New approaches, especially the emergence of unified identification, web services and SOA, taken together with agents and the
semantic web offers opportunities for interoperability in business, finance, healthcare and security.
2007-01-01T00:00:00ZElusive Quest for InteroperabilityDatta, Shoumenhttps://hdl.handle.net/1721.1/419162025-02-28T18:29:45Z2006-01-01T00:00:00ZElusive Quest for Interoperability
Datta, Shoumen
Interoperability between systems and adequate operational transparency may help stem some of the frustration of businesses dealing with customs. On the other hand, customs must remain vigilant to ensure security through tracking and tracing of goods to prevent disenfranchised individuals from taking advantage of the movement of objects between geographic boundaries. There are no easy “one shoe fits all” solutions to these problems. There is also room for debate regarding the depth to which customs should aspire to gain visibility of the supply chain. The investment necessary to gain visibility and transparency both in terms of cost as well as change management must be a collaborative venture between
businesses and customs. Both parties must be equally determined to securely speed the operational efficiency. However, even for pre-agreed issues, the ability to generate a bird’s eye view of the process is plagued by the lack of interoperability between customs and business systems as well as country-specific rules.
A pessimist sees the difficulty in every opportunity. An optimist sees the opportunity in every difficulty.
2006-01-01T00:00:00ZRFID: An Incomplete SagaDatta, Shoumenhttps://hdl.handle.net/1721.1/419152025-02-28T18:29:45Z2000-01-01T00:00:00ZRFID: An Incomplete Saga
Datta, Shoumen
Basic introduction to automatic identification and enterprise resource planning software (SAP).
RFID and ERP Tutorial plus Auto ID guide.
2000-01-01T00:00:00ZAgents: Where Artificial Intelligence Meets Natural StupidityDatta, Shoumenhttps://hdl.handle.net/1721.1/419142025-02-28T18:29:46Z2002-01-01T00:00:00ZAgents: Where Artificial Intelligence Meets Natural Stupidity
Datta, Shoumen
This is a summary of Agents research and its potential for applications in multiple fields.
Agents Tutorial 101
2002-01-01T00:00:00ZForecasting and Risk Simulation: Proposed Analytical ToolDatta, Shoumenhttps://hdl.handle.net/1721.1/419132025-02-28T18:29:45Z2008-08-01T14:57:58ZForecasting and Risk Simulation: Proposed Analytical Tool
Datta, Shoumen
Advances in econometrics and financial mathematics are still confined to use within the domains of stocks, bonds, shares, currency exchanges and derivatives markets. Extracting the principles (see paper by Datta & Granger) and simulating a data environment for its use, in business operations and security, may provide clues to future software systems that can use these analytical engines to improve forecasting and risk analytics.
This is a proposal to create a simulation tool that can explore advanced tools and techniques from econometrics to use in operations management in business and security.
2008-08-01T14:57:58ZRisk in the Global Supply ChainDatta, Shoumenhttps://hdl.handle.net/1721.1/419122025-02-28T18:27:29Z2006-01-01T00:00:00ZRisk in the Global Supply Chain
Datta, Shoumen
Carbon footprints are not on the priority list of risk analysts in operations management for at least half or more of global businesses. What are the other risks in the global supply chain?
Risk analysis is evolving as pervasive a force as ubiquitous computing - not quite there yet but soon will be. What are the tools that may aid and improve risk analytics?
2006-01-01T00:00:00ZInnovation Strategies and IdeasDatta, Shoumenhttps://hdl.handle.net/1721.1/419112025-02-28T18:27:29Z2008-08-01T14:37:47ZInnovation Strategies and Ideas
Datta, Shoumen
Convergence is the central theme advocated in these suggestions for global economic growth through entrepreneurial innovation strategies which may catalyse building of enterprises with creative dimensions.
2008-08-01T14:37:47ZIdentification of Information in Decision SystemsDatta, Shoumenhttps://hdl.handle.net/1721.1/419102025-02-28T18:27:29Z2007-01-01T00:00:00ZIdentification of Information in Decision Systems
Datta, Shoumen
Extending unique identification to non-physical objects (data, information, decisions, knowledge) is a challenging problem in systems engineering. The tools and technologies available for naming physical objects may soon prove to be inadequate. In addition, the current thinking about unique identification may soon seem to be insufficient. What's next?
Is there a tool or mechanism to capture and uniquely identify a decision made by a healthcare professional? What if this decision happens to become a fulcrum for the next decision that must be made about the patient but in a different country? Convergence of concepts outlined in these two presentations makes an attempt to propose a temporary solution.
2007-01-01T00:00:00ZConvergence of Bio Info Nano Eco: Global Public Goods and Economic GrowthDatta, Shoumenhttps://hdl.handle.net/1721.1/419092025-02-28T18:29:46Z2008-07-31T13:22:53ZConvergence of Bio Info Nano Eco: Global Public Goods and Economic Growth
Datta, Shoumen
This article is about convergence and why not. How about a ride to space in an elevator? Why not? A single nanotube could stretch from earth to the stratosphere and be able to support its own weight. This fact spurred NASA to review ideas proposed by Konstantin Tsiolkovsky (1895) a Russian visionary and Arthur C. Clarke in The Fountains of Paradise (1978). The idea is to build an elevator (lift) that will travel 60,000 miles from the earth’s surface into space carrying cargo and humans. It is predicted that the ‘space elevator’ will lower the cost of positioning a satellite in space from $10,000 to $100 per pound. NASA provided $570,000 to Bradley Edwards to provide details. Bradley Edwards’ proposal calls for a single nanotube about 75 cm wide and thinner than a piece of paper that will stretch 60,000 miles from the surface of the earth or the ocean floor (The Space Elevator by Bradley Edwards, 2002). A 3-day NASA conference in Santa Fe, New Mexico (September 2003) drew 60 scientists and engineers working on the concept. The outcome of the meeting: “it is plausible.” (Gentry Lee, Chief Engineer, JPL, Cal Tech). The ‘space elevator’ apparatus would lift up to 13 tons of cargo in a week to reach the geosynchronous orbit (22,300 miles). The necessary underlying technologies exist except the carbon nanotube material (ribbon). The estimated cost to build the first space elevator may be $6 to $12 billion. Subsequent elevators may cost $2 billion. The estimated cost of building and operating the international Space Station is expected to exceed $100 billion. Those who are teenagers today, may wish to book a suite in that elevator to space, to celebrate their 50th marriage anniversary!
Big ideas offer big dividends but have stormy beginnings. Even worse is when people cannot visualise the future because their imagination is bent out of focus by short-term ROI or resistance to change status quo! Systemic vision requires individuals who can visualize future issues with dynamic and analytical convergence which balances the odds of probabilistic decision making in a generally uncertain world. It is such ‘inclusive' and out-of-the-box thinking that is uncommon because institutions still offer prizes for depth of expertise, almost exclusively. Erudite scholars such as Murray Gell-Mann and Nicholas Negroponte, continue to comment on the need for individuals with ‘horizontal’ understanding. But, academic status quo and paucity of such enlightened views are discouraging individuals to pursue a broad spectrum of ‘horizontal’ understanding. In "Darwin's Middle Road" that Stephen Jay Gould wrote for his monthly column in the Natural History magazine, Gould once said, "if genius has any common denominator, I would propose breadth of interest and the ability to construct fruitful analogies between fields."
2008-07-31T13:22:53ZADAPTIVE VALUE NETWORKS: Convergence of Emerging Tools, Technologies and Standards as Catalytic DriversDatta, Shoumenet, alhttps://hdl.handle.net/1721.1/419082025-02-28T18:28:22Z2004-01-01T00:00:00ZADAPTIVE VALUE NETWORKS: Convergence of Emerging Tools, Technologies and Standards as Catalytic Drivers
Datta, Shoumen; et, al
Can we collapse information asymmetries and add value to networks or demand webs? Real-time operational adaptability is key,
especially in fast ‘clockspeed’ industries. Confluence of emerging tools, technologies and standards are required to converge to catalyze the evolution of such adaptable enterprise.
Real-time distributed data, in-network
processing, Agent-based autonomy, if taken together, may tame the Bullwhip Effect.
Can the (semantic) web catalyze the “Nash Equilibrium” of people and information in our quest for real time "predictive" decision
support systems? We will explore a few of these issues and how they may converge and coalesce to enable the adaptive value network of the future.
2004-01-01T00:00:00ZADAPTER, OPTIMISER, PRÉVOIR: La convergence des concepts, des outils, des technologies et des normes peut-elle accélérer l’innovation ?Datta, Shoumenhttps://hdl.handle.net/1721.1/419072025-02-28T18:29:45Z2004-01-01T00:00:00ZADAPTER, OPTIMISER, PRÉVOIR: La convergence des concepts, des outils, des technologies et des normes peut-elle accélérer l’innovation ?
Datta, Shoumen
Les outils et procédés permettant de réduire les insuffisances de la chaîne logistique
sont très précieux. La capacité à s’adapter peut en effet ne pas dépendre de la seule
technologie mais d’une perpétuelle aptitude à l’innovation des processus dans la
gestion de la Supply Chain. Pour cela, les dirigeants doivent être capables d’imaginer
l’utilisation combinée de différents concepts, outils et technologies pour réduire
les insuffisances, les incertitudes, et l’asymétrie de l’information dans le
réseau de valeur. Cet article propose de combiner différentes idées dans un esprit
d’approche « solutions » visant à améliorer les décisions.
2004-01-01T00:00:00ZManagement of supply chain: an alternative modelling technique for forecastingDatta, ShoumenGranger, C W JBarari, MGibbs, Thttps://hdl.handle.net/1721.1/419062025-02-28T18:28:21Z2007-05-23T00:00:00ZManagement of supply chain: an alternative modelling technique for forecasting
Datta, Shoumen; Granger, C W J; Barari, M; Gibbs, T
Forecasting is a necessity almost in any operation. However, the tools of forecasting are still primitive in view
of the great strides made by research and the increasing abundance of data made possible by automatic identification
technologies, such as radio frequency identification (RFID). The relationship of various parameters
that may change and impact decisions are so abundant that any credible attempt to drive meaningful associations
are in demand to deliver the value from acquired data. This paper proposes some modifications to adapt
an advanced forecasting technique (GARCH) with the aim to develop it as a decision support tool applicable
to a wide variety of operations including supply chain management (SCM). We have made an attempt to coalesce
a few different ideas toward a ‘solutions’ approach aimed to model volatility and in the process, perhaps,
better manage risk. It is possible that industry, governments, corporations, businesses, security organizations,
consulting firms and academics with deep knowledge in one or more fields, may spend the next few decades
striving to synthesize one or more models of effective modus operandi to combine these ideas with other
emerging concepts, tools, technologies and standards to collectively better understand, analyse and respond
to uncertainty. However, the inclination to reject deep-rooted ideas based on inconclusive results from pilot
projects is a detrimental trend and begs to ask the question whether one can aspire to build an elephant using
mouse as a model.
The tools of forecasting (software) in general business use are still primitive in view of the strides made by research. Hence, promoting advances in forecasting to aid
predictive analytics is deemed a worthwhile endeavour and is the purpose of this paper. Such tools may further reduce uncertainty and volatility characteristic of global trade. The relationship of various business parameters that may change and impact decisions are so abundant that any credible attempt to drive meaningful associations are in demand by global businesses. This paper proposes some modifications to adapt an already advanced forecasting technique (GARCH) with the aim to develop it as a decision support tool applicable to a wide variety of operations including supply chain management.
2007-05-23T00:00:00ZPotential to Improve Forecasting Accuracy: Advances in Supply Chain ManagementDatta, ShoumenGranger, Clivehttps://hdl.handle.net/1721.1/419052025-02-28T18:27:28Z2008-07-31T11:57:42ZPotential to Improve Forecasting Accuracy: Advances in Supply Chain Management
Datta, Shoumen; Granger, Clive
Forecasting is a necessity almost in any operation. However, the tools of forecasting are still primitive in view of the great strides made by research and the increasing abundance of data made possible by automatic identification technologies, such as, radio frequency identification (RFID). The relationship of various parameters that may change and impact decisions are so abundant that any credible attempt to drive meaningful associations are in demand to deliver the value from acquired data. This paper proposes some modifications to adapt an advanced forecasting technique (GARCH) with the aim to develop it as a decision support tool applicable to a wide variety of operations including supply chain management. We have made an attempt to coalesce a few different ideas toward a “solutions” approach aimed to model volatility and in the process, perhaps, better manage risk. It is possible that industry, governments, corporations, businesses, security organizations, consulting firms and academics with deep knowledge in one or more fields, may spend the next few decades striving to synthesize one or more models of effective modus operandi to combine these ideas with other emerging concepts, tools, technologies and standards to collectively better understand, analyze and respond to uncertainty. However, the inclination to reject deep rooted ideas based on inconclusive results from pilot projects is a detrimental trend and begs to ask the question whether one can aspire to build an elephant using mouse as a model.
Forecasting is a necessity almost in any operation. However, the tools of forecasting (software) in general business use are still primitive in view of the strides made by research. Hence, promoting advances in forecasting to aid predictive analytics is deemed a worthwhile endeavour and is the purpose of this paper. Such tools may further reduce uncertainty and volatility characteristic of global trade. The relationship of various business parameters that may change and impact decisions are so abundant that any credible attempt to drive meaningful associations are in demand by global businesses. This paper proposes some modifications to adapt an already advanced forecasting technique (GARCH) with the aim to develop it as a decision support tool applicable to a wide variety of distributed decision systems including supply chain management.
2008-07-31T11:57:42ZAdapting Decisions, Optimizing Facts and Predicting Figures: Can Convergence of Concepts, Tools, Technologies and Standards Catalyze Innovation?Datta, Shoumenhttps://hdl.handle.net/1721.1/419042025-02-28T18:27:29Z2008-07-31T11:46:54ZAdapting Decisions, Optimizing Facts and Predicting Figures: Can Convergence of Concepts, Tools, Technologies and Standards Catalyze Innovation?
Datta, Shoumen
Managing uncertainty is key in decision systems, such as supply chain management or military readiness. We propose a reasonable confluence of existing concepts, tools, technologies and standards that may, collectively, improve adaptability of decision systems to combat uncertainty in such diverse applications as profit optimization, response time in hospitals or military readiness.
This conceptual article is aimed to provoke a broad spectrum of decision makers who wish to make even better decisions based on deeper insight from process innovation as well as right-time analysis of real-time data. It is not a panacea to rid of all poor decision steps nor can it function without appropriate and in some cases, adequate, help from the ‘enablers’ that we shall discuss.
2008-07-31T11:46:54ZPotential for Improving Decision Support Catalysed by Semantic Interoperability Between SystemsDatta, Shoumenhttps://hdl.handle.net/1721.1/419032025-02-28T18:27:29Z2008-07-31T11:36:04ZPotential for Improving Decision Support Catalysed by Semantic Interoperability Between Systems
Datta, Shoumen
Convergence of systems and intelligent automation may augment the ability of supply chain operations or healthcare networks to rapidly adapt to changes or respond, with minimal human intervention, under ideal conditions. Communities are emerging as loose federations or organization of networks that may evolve to act as infomediaries. These changes, albeit sluggish, are likely to impact process knowledge and in turn may be stimulated or inhibited by the availability or lack of process interoperability, respectively. Understanding of processes between systems will determine operational efficiencies. Can the semantic web help?
Convergence and maturity of research offers the potential for a paradigm shift in interoperability. It may evolve hand-in-hand with [a] the gradual adoption of the semantic web [b] concomitant development of ontological frameworks, [c] increase in use of multi-agent systems and [d] advent of ubiquitous computing enabling near real-time access to identification of objects and analytics.
2008-07-31T11:36:04ZUnified Theory of Relativistic Identification of Information in a Systems Age: Proposed Convergence of Unique Identification with Syntax and Semantics through Internet Protocol version 6Datta, Shoumenhttps://hdl.handle.net/1721.1/419022025-02-28T18:27:29Z2008-07-31T11:14:48ZUnified Theory of Relativistic Identification of Information in a Systems Age: Proposed Convergence of Unique Identification with Syntax and Semantics through Internet Protocol version 6
Datta, Shoumen
This paper proposes to utilize internet protocol version six (IPv6) to uniquely identify not only things (objects) but also processes, relationships (syntax, semantics) and interfaces (sensors). Convergence of identification with information using the 128-bit IPv6 structure offers 3.4x1038 unique instances. It is not necessary that all instances must be connected to the internet or routed or transmitted simply because an IP addressing scheme is suggested. This is a structure for identification which (1) may improve revenue potential from data routing (P2P packet tracking) for telecommunication industries, (2) potential use in healthcare and in biomedical sciences, (3) scope of use in the semantic web structure by transitioning URIs used in RDF, (4) applications involving thousands of mobile ad hoc sensors (MANET) that demand dynamic adaptive auto-reconfiguration. This paper offers clues for innovation based on a confluence of ideas that may augment systems interoperability necessary for operational transparency in a global economy.
Data (bits) from unique identification of objects or things (atoms) are often helpful to the decision making process. Decisions, however, are often based on information that takes into account multiple factors. Physical objects and their unique identification may be one of many factors, as is the internet of things, from the perspective of a systems approach. Real-world decisions are often based on collective information gathered from multiple sources (or systems) that includes data (bits) about “things” (atoms) and processes associated with “things” which may be used in combination with a higher level domain that may eventually trigger a decision or execute an action, aided or unaided by a human. Currently, we do not have a globally unique mechanism to identify information derived from data originating from things (objects) and processes. Unique identification of information, hence, is an open question. However, information, to be of value, must be relative to the context of the process. In general, contextual information is of greater relevance in the decision making process or in decision systems (decisionable information). A globally acceptable system for unique identification of decisions may offer obvious benefits. This paper explores one such route by using the vast number of unique addressing capability of IPv6.
2008-07-31T11:14:48ZWill Nano-Butlers Work for Micro-Payments? Innovation in Business Services Model may Reduce Cost of Delivering Global Healthcare ServicesDatta, Shoumenhttps://hdl.handle.net/1721.1/419012025-02-28T18:27:29Z2008-07-31T11:03:13ZWill Nano-Butlers Work for Micro-Payments? Innovation in Business Services Model may Reduce Cost of Delivering Global Healthcare Services
Datta, Shoumen
This paper represents an emerging view of personalized care and patient-centric systems approach. It integrates biomedical informatics and business services. A potentially innovative model may evolve from this convergence and may serve as a global template to reduce cost of service. The future of global healthcare may increasingly rely on “sense and then, respond” systems but excluding the instances of exception management, necessary for accidents and emergencies. Solutions suggested in this paper are neither complete nor a panacea but are elements that deserve inclusion in the delivery of healthcare that may combine a portfolio of approaches to suit the needs of the community. As a potential future direction to improve analytics in healthcare, the concept of molecular semantics is proposed.
Lessons from the failures and the fruits of success, enjoyed by the business world, may not be irrelevant for exploration and/or adaptation by healthcare organizations, despite the irreconcilable differences that exist in the dynamics of mechanical versus biological and social systems. The current challenges in healthcare compel a fresh view of the organization, structure and function of the delivery and monitoring processes in healthcare, not only for the industrial world that may afford the increasing cost but for global healthcare services, in a manner accessible to, as well as feasible for, the billions who may afford only micro-payments!
2008-07-31T11:03:13ZAuto ID Paradigm Shifts from Internet of Things to Unique Identification of Decisions in System of SystemsDatta, Shoumenhttps://hdl.handle.net/1721.1/419002025-02-28T18:27:29Z2008-07-31T10:51:53ZAuto ID Paradigm Shifts from Internet of Things to Unique Identification of Decisions in System of Systems
Datta, Shoumen
Return on investment (ROI) from radio frequency (RF) based tools of identification may increase with the diffusion of frequency agnostic modes of radio frequency identification (RFID), such as, ultrawideband (UWB). Similarly, fixed frequency readers may be replaced with interrogators that can operate in any frequency, such as software defined radio (SDR). Identification of objects provides data that may not be useful unless the process of data acquisition is further linked to systems where the data can be analysed and useful information extracted. This evolution remains incomplete because data about objects is only a small segment of necessary information. Global businesses and systems, such as healthcare, demand much more than object data. Often processes and plans as well as prior decisions are taken into account when deciding on a future course of action or the next step. Current practice of auto id, although useful, remains only a small part of what is necessary for identification of information in complex system of systems. Identification, therefore, must encompass systems interoperability as well as the ability to enumerate both tangible and intangible elements that contribute to decisions. The unique “address” must be preserved during information exchange and decision support between systems to ensure interoperability.
Auto id and concomitant location of object are important data elements whose value is growing exponentially in business supply chains. It is even more critical for security of global trade, for example, in multi-national logistics operations such as goods transport between Asia and Europe on the Trans-Siberian Railroad. In such systems, fixed frequency RFID tools may be a hindrance to operations and are liable to create gaps in (data) transparency due to lack of systems interoperability. This article highlights select technologies that may reduce frequency heterogeneity for some applications.
2008-07-31T10:51:53ZWiFi Meet FuFi: Research Topics in SCM and DSSDatta, Shoumenhttps://hdl.handle.net/1721.1/418992025-02-28T18:28:21Z2008-07-31T10:41:21ZWiFi Meet FuFi: Research Topics in SCM and DSS
Datta, Shoumen
Disruptive innovation catalysed by energy (carbon footprint) may reshape supply chain and logistics. The continents of Europe, Asia and Africa may evolve as a connected value network through railroad logistics.
See Research Paper: WiFi Meets FuFi
2008-07-31T10:41:21ZMolecular MedicineDatta, Shoumenhttps://hdl.handle.net/1721.1/418982025-02-28T18:29:45Z2008-07-30T14:52:27ZMolecular Medicine
Datta, Shoumen
Healthcare problems of the 21st Century shall require effective therapies for emerging infectious diseases. Understanding why some infectious agents and parasites can co-exist or reside within the human host may offer therapeutic clues.
Proposal in Molecular Medicine
2008-07-30T14:52:27ZWiFi Meet FuFi: Disruptive Innovation in Logistics Catalysed by EnergyDatta, Shoumenhttps://hdl.handle.net/1721.1/418972025-02-28T18:29:45Z2008-07-30T11:31:16ZWiFi Meet FuFi: Disruptive Innovation in Logistics Catalysed by Energy
Datta, Shoumen
Cost of energy per unit of goods or services is likely to evolve as a key differentiator of economic growth. The debt of nations will be re-structured. Corporations, big or small, may not escape from managing their energy supply chains or the carbon footprints of their supply chains. Energy supply chains may disrupt traditional physical and financial value networks so much so that different business models with diverse revenue streams may evolve and dissolve at a ‘clockspeed’ hitherto unimaginable. Eurasia may lead the storm and Africa may be the ultimate economic prize for uncommon strategic visionaries. This paper suggests why this scenario may be plausible.
Will the future of tri-continental logistics and supply chain (Europe, Asia and Africa) likely to be shaped by energy resources and influenced by carbon footprints?
2008-07-30T11:31:16Z