Jim Samuel

Associate Professor at Rutgers University

Research Expertise

Analytics
Artificial Intelligence
Informatics
Machine Learning
NLP NLU NLG Behavioral Finance
Pharmacology (medical)
Library and Information Sciences
Computer Networks and Communications
Information Systems
Health Information Management
Health Informatics
Health Policy
Leadership and Management
Information Systems and Management
Developmental and Educational Psychology
Management Information Systems
Automotive Engineering
Transportation
Renewable Energy, Sustainability and the Environment
Civil and Structural Engineering
Geography, Planning and Development
Strategy and Management

About

Jim Samuel is an Associate Professor of Practice and Executive Director of the Informatics Program at the Bloustein School. He is an information and artificial intelligence (AI) scientist, with significant industry experience in finance, technology, entrepreneurship and data analytics. Dr. Samuel’s primary research covers human intelligence and artificial intelligences interaction and information philosophy.  Dr. Samuel’s applied research focuses on the optimal use of big data and smart data driven AI applications, textual analytics, natural language processing and artificially intelligent public opinion informatics. His expertise extends to socioeconomic implications of AI, applied machine learning, social media analytics, AI education and AI bias. Dr. Samuel completed his Ph.D. from the Zicklin School of Business, Baruch College – City University of New York, and he also has M.Arch and M.B.A (International Finance) degrees.  Dr. Samuel has worked with large multinational financial services corporations, and advises businesses and organizations on data analytics and AI driven value creation strategies. He is passionate about research driven thought leadership in AI, information philosophy, analytics and informatics. 

Publications

COVID-19 Public Sentiment Insights and Machine Learning for Tweets Classification

Jun 01, 2020

Samuel, J., Rahman, Md. M., Ali, G. G. M. N., Esawi, E., & Samuel, Y. (2020). COVID-19 Public Sentiment Insights and Machine Learning for Tweets Classification. https://doi.org/10.31234/osf.io/sw2dn

Feeling Positive About Reopening? New Normal Scenarios From COVID-19 US Reopen Sentiment Analytics

IEEE Access / Jan 01, 2020

Samuel, J., Rahman, Md. M., Ali, G. G. Md. N., Samuel, Y., Pelaez, A., Chong, P. H. J., & Yakubov, M. (2020). Feeling Positive About Reopening? New Normal Scenarios From COVID-19 US Reopen Sentiment Analytics. IEEE Access, 8, 142173–142190. https://doi.org/10.1109/access.2020.3013933

Socioeconomic factors analysis for COVID-19 US reopening sentiment with Twitter and census data

Heliyon / Feb 01, 2021

Rahman, Md. M., Ali, G. G. Md. N., Li, X. J., Samuel, J., Paul, K. C., Chong, P. H. J., & Yakubov, M. (2021). Socioeconomic factors analysis for COVID-19 US reopening sentiment with Twitter and census data. Heliyon, 7(2), e06200. https://doi.org/10.1016/j.heliyon.2021.e06200

Information Token Driven Machine Learning For Electronic Markets: Performance Effects In Behavioral Financial Big Data Analytics.

Journal of Information Systems and Technology Management / Dec 31, 2017

Samuel, J. (2017). Information Token Driven Machine Learning For Electronic Markets: Performance Effects In Behavioral Financial Big Data Analytics. Journal of Information Systems and Technology Management, 14(3), 371–384. https://doi.org/10.4301/s1807-17752017000300005

Feeling Like It Is Time to Reopen Now? COVID-19 New Normal Scenarios Based on Reopening Sentiment Analytics

May 20, 2020

Samuel, J., Rahman, Md. M., Ali, G. G. Md. N., Samuel, Y., & Pelaez, A. (2020). Feeling Like It Is Time to Reopen Now? COVID-19 New Normal Scenarios Based on Reopening Sentiment Analytics. https://doi.org/10.20944/preprints202005.0318.v1

Beyond Stem, How Can Women Engage Big Data, Analytics, Robotics And Artificial Intelligence? – An Exploratory Analysis Of Confidence And Educational Factors In The Emerging Technology Waves Influencing The Role Of And Impact Upon Women.

SSRN Electronic Journal / Jan 01, 2020

Samuel, J. (2020). Beyond Stem, How Can Women Engage Big Data, Analytics, Robotics And Artificial Intelligence? – An Exploratory Analysis Of Confidence And Educational Factors In The Emerging Technology Waves Influencing The Role Of And Impact Upon Women. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.3735279

Conceptual Frameworks for Big Data Visualization: Discussion of Models, Methods, and Artificial Intelligence for Graphical Representations of Data

Handbook of Research for Big Data / Dec 20, 2021

Conner, C., Samuel, J., Garvey, M., Samuel, Y., & Kretinin, A. (2021). Conceptual Frameworks for Big Data Visualization: Discussion of Models, Methods, and Artificial Intelligence for Graphical Representations of Data. Handbook of Research for Big Data, 197–234. https://doi.org/10.1201/9781003144526-8

Automating Discovery of Dominance in Synchronous Computer-Mediated Communication

2014 47th Hawaii International Conference on System Sciences / Jan 01, 2014

Samuel, J., Holowczak, R., Benbunan-Fich, R., & Levine, I. (2014). Automating Discovery of Dominance in Synchronous Computer-Mediated Communication. 2014 47th Hawaii International Conference on System Sciences. https://doi.org/10.1109/hicss.2014.636

About the social role of child and adolescent psychiatrists in times of epidemic

IACAPAP ArXiv / Jan 01, 2020

Falissard, B. (2020). About the social role of child and adolescent psychiatrists in times of epidemic. IACAPAP ArXiv. https://doi.org/10.14744/iacapaparxiv.2020.20004

When the Going Gets Tough, The Tweets Get Going! An Exploratory Analysis of Tweets Sentiments in the Stock Market

American Journal of Management / Dec 30, 2018

When the Going Gets Tough, The Tweets Get Going! An Exploratory Analysis of Tweets Sentiments in the Stock Market. (2018). American Journal of Management, 18(5). https://doi.org/10.33423/ajm.v18i5.251

Going Where the Tweets Get Moving! An Explorative Analysis of Tweets Sentiments in the Stock Market

SSRN Electronic Journal / Jan 01, 2018

Samuel, J., Kretinin, A., & Kashyap, R. (2018). Going Where the Tweets Get Moving! An Explorative Analysis of Tweets Sentiments in the Stock Market. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.3889567

Informatics in Information Richness: A Market Mover? An Examination of Information Richness in Electronic Markets.

SSRN Electronic Journal / Jan 01, 2017

Samuel, J. (2017). Informatics in Information Richness: A Market Mover? An Examination of Information Richness in Electronic Markets. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.3735281

A Call for Proactive Policies for Informatics and Artificial Intelligence Technologies

SSRN Electronic Journal / Jan 01, 2021

Samuel, J. (2021). A Call for Proactive Policies for Informatics and Artificial Intelligence Technologies. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.4000077

How Do Family Firms Orchestrate Their Global Value Chain?

The Palgrave Handbook of Family Firm Internationalization / Jan 01, 2021

Debellis, F., & Rondi, E. (2021). How Do Family Firms Orchestrate Their Global Value Chain? The Palgrave Handbook of Family Firm Internationalization, 265–287. https://doi.org/10.1007/978-3-030-66737-5_9

They Are Not Mistaken! Why Passive Investments Matter

Journal of Management Policy and Practice / Nov 01, 2018

They Are Not Mistaken! Why Passive Investments Matter. (2018). Journal of Management Policy and Practice, 19(4). https://doi.org/10.33423/jmpp.v19i4.192

Textual Data Distributions: Kullback Leibler Textual Distributions Contrasts on GPT-2 Generated Texts, with Supervised, Unsupervised Learning on Vaccine & Market Topics & Sentiment

Journal of Big Data: Theory and Practice / Jun 28, 2022

Samuel, J., Palle, R., & Soares, E. C. (2022). Textual Data Distributions: Kullback Leibler Textual Distributions Contrasts on GPT-2 Generated Texts, with Supervised, Unsupervised Learning on Vaccine & Market Topics & Sentiment. Journal of Big Data: Theory and Practice, 1(1). https://doi.org/10.54116/jbdtp.v1i1.20

Eagles & Lions Winning Against Coronavirus! 8 Principles from Winston Churchill for Overcoming COVID-19 & Fear

SSRN Electronic Journal / Jan 01, 2020

Samuel, J. (2020). Eagles & Lions Winning Against Coronavirus! 8 Principles from Winston Churchill for Overcoming COVID-19 & Fear. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.3591528

The Making of David and Goliath

Samuel at the Threshold / May 15, 2017

The Making of David and Goliath. (2017). Samuel at the Threshold, 81–96. https://doi.org/10.4324/9781315243818-7

Strategic Directions for Big Data Analytics in E-Commerce with Machine Learning and Tactical Synopses: Propositions for Intelligence Based Strategic Information Modeling (SIM)

Journal of Strategic Innovation and Sustainability / Jul 01, 2018

Strategic Directions for Big Data Analytics in E-Commerce with Machine Learning and Tactical Synopses: Propositions for Intelligence Based Strategic Information Modeling (SIM). (2018). Journal of Strategic Innovation and Sustainability, 13(1). https://doi.org/10.33423/jsis.v13i1.601

Strategies for Democratization of Supercomputing: Availability, Accessibility and Usability of High Performance Computing for Education and Practice of Big Data Analytics

SSRN Electronic Journal / Jan 01, 2021

Samuel, J., Brennan-Tonetta, M., Samuel, Y., Subedi, P., & Smith, J. (2021). Strategies for Democratization of Supercomputing: Availability, Accessibility and Usability of High Performance Computing for Education and Practice of Big Data Analytics. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.3789755

2 Towards an integrative conceptual framework

The Reconfiguration of a Latecomer Innovation System

2 Towards an integrative conceptual framework. (n.d.). The Reconfiguration of a Latecomer Innovation System. https://doi.org/10.3726/978-3-653-03326-7/6

A Fetal Electrocardiogram Data Acquisition and Analysis System

2013 39th Annual Northeast Bioengineering Conference / Apr 01, 2013

Samuel, C. D., English, A. E., & Alves, N. (2013). A Fetal Electrocardiogram Data Acquisition and Analysis System. 2013 39th Annual Northeast Bioengineering Conference. https://doi.org/10.1109/nebec.2013.38

2050: Will Artificial Intelligence Dominate Humans? (AI Slides)

SSRN Electronic Journal / Jan 01, 2022

Samuel, J. (2022). 2050: Will Artificial Intelligence Dominate Humans? (AI Slides). SSRN Electronic Journal. https://doi.org/10.2139/ssrn.4155700

The Dark Side of Sentiment Analysis: An Exploratory Review Using Lexicons, Dictionaries, and a Statistical Monkey and Chimp

SSRN Electronic Journal / Jan 01, 2022

Samuel, J., Rozzi, G., & Palle, R. (2022). The Dark Side of Sentiment Analysis: An Exploratory Review Using Lexicons, Dictionaries, and a Statistical Monkey and Chimp. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.4000087

Response to the March 2023 'Pause Giant AI Experiments: An Open Letter' by Yoshua Bengio, signed by Stuart Russell, Elon Musk, Steve Wozniak, Yuval Noah Harari and others…

SSRN Electronic Journal / Jan 01, 2023

Samuel, J. (2023). Response to the March 2023 “Pause Giant AI Experiments: An Open Letter” by Yoshua Bengio, signed by Stuart Russell, Elon Musk, Steve Wozniak, Yuval Noah Harari and others…. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.4412516

Poland is a leader in opening up public data

May 26, 2023

(2023). Poland is a leader in opening up public data. https://doi.org/10.1787/87589e8e-en

Data Sources and Data Tools: Preparing for the Open Data Ecosystem

Health Informatics / Jan 01, 2020

Mensah, E., & Goderre, J. L. (2020). Data Sources and Data Tools: Preparing for the Open Data Ecosystem. Public Health Informatics and Information Systems, 105–127. https://doi.org/10.1007/978-3-030-41215-9_7

PUBLIC POLICY AND GOVERNMENT

Artificial Intelligence / Jan 01, 2022

Andersen, B. (2022). PUBLIC POLICY AND GOVERNMENT. Artificial Intelligence, 442–455. https://doi.org/10.4337/9781800371729.00036

Artificially Intelligent Cultural Perspectives with NLP: Exploring Japanese Cultural Heritage Collections with AI (Slides)

SSRN Electronic Journal / Jan 01, 2023

Samuel, J. (2023). Artificially Intelligent Cultural Perspectives with NLP: Exploring Japanese Cultural Heritage Collections with AI (Slides). SSRN Electronic Journal. https://doi.org/10.2139/ssrn.4342744

Pandemic Vulnerability Index of US Cities: A Hybrid Knowledge-based and Data-driven Approach

Mar 24, 2022

Rahman, Md. S., Paul, K. C., Rahman, Md. M., Samuel, J., Thill, J.-C., Hossain, Md. A., & Nawa, G. G. Md. (2022). Pandemic Vulnerability Index of US Cities: A Hybrid Knowledge-based and Data-driven Approach. https://doi.org/10.21203/rs.3.rs-1417025/v1

Adaptive cognitive fit: Artificial intelligence augmented management of information facets and representations

Apr 26, 2022

Samuel, J., Kashyap, R., Samuel, Y., & Pelaez, A. (2022). Adaptive cognitive fit: Artificial intelligence augmented management of information facets and representations. https://doi.org/10.31234/osf.io/pzk8a

An Ontology of Supply Chain Cybersecurity

Cyber Security and Supply Chain Management / May 24, 2021

Garvey, M. D., Samuel, J., & Kretinin, A. (2021). An Ontology of Supply Chain Cybersecurity. Cyber Security and Supply Chain Management, 71–132. https://doi.org/10.1142/9789811233128_0005

Researching Media’s Role in Social Life

Exploring Media Research: Theories, Practice, and Purpose / Jan 01, 2017

Researching Media’s Role in Social Life. (2017). Exploring Media Research: Theories, Practice, and Purpose, 108–124. https://doi.org/10.4135/9781529793482.n8

Value-Based Payment As Part Of A Broader Strategy To Address Opioid Addiction Crisis

Forefront Group / Dec 01, 2017

Value-Based Payment As Part Of A Broader Strategy To Address Opioid Addiction Crisis. (2017). Forefront Group. https://doi.org/10.1377/forefront.20171130.772229

Regulation of data-driven market power in the digital economy: Business value creation and competitive advantages from big data

Journal of Information Technology / Feb 24, 2023

Fast, V., Schnurr, D., & Wohlfarth, M. (2023). Regulation of data-driven market power in the digital economy: Business value creation and competitive advantages from big data. Journal of Information Technology, 026839622211143. https://doi.org/10.1177/02683962221114394

Need for Alcohol and Drug Treatment in New Jersey, 1993

PsycEXTRA Dataset

Mammo, A. (n.d.). Need for Alcohol and Drug Treatment in New Jersey, 1993. PsycEXTRA Dataset. https://doi.org/10.1037/e324852004-001

Pandemic vulnerability index of US cities: A hybrid knowledge-based and data-driven approach

Sustainable Cities and Society / Aug 01, 2023

Rahman, Md. S., Paul, K. C., Rahman, Md. M., Samuel, J., Thill, J.-C., Hossain, Md. A., & Ali, G. G. Md. N. (2023). Pandemic vulnerability index of US cities: A hybrid knowledge-based and data-driven approach. Sustainable Cities and Society, 95, 104570. https://doi.org/10.1016/j.scs.2023.104570

Customized AI Readers: An Adaptive Framework for Flexible Human Handwriting Recognition of Numerical Digits with OCR Methods

Information / May 26, 2023

Jain, P. H., Kumar, V., Samuel, J., Singh, S., Mannepalli, A., & Anderson, R. (2023). Customized AI Readers: An Adaptive Framework for Flexible Human Handwriting Recognition of Numerical Digits with OCR Methods. Information, 14(6), 305. https://doi.org/10.3390/info14060305

Adaptive cognitive fit: Artificial intelligence augmented management of information facets and representations

International Journal of Information Management / Aug 01, 2022

Samuel, J., Kashyap, R., Samuel, Y., & Pelaez, A. (2022). Adaptive cognitive fit: Artificial intelligence augmented management of information facets and representations. International Journal of Information Management, 65, 102505. https://doi.org/10.1016/j.ijinfomgt.2022.102505

Strategies for Democratization of Supercomputing: Availability, Accessibility and Usability of High Performance Computing for Education and Practice of Big Data Analytics

Journal of Big Data: Theory and Practice / Jun 28, 2022

Samuel, J., Brennan-Tonetta, M., Samuel, Y., Subedi, P., & Smith, J. (2022). Strategies for Democratization of Supercomputing: Availability, Accessibility and Usability of High Performance Computing for Education and Practice of Big Data Analytics. Journal of Big Data: Theory and Practice, 1(1). https://doi.org/10.54116/jbdtp.v1i1.16

Public Perceptions of COVID-19 Vaccines: Policy Implications from US Spatiotemporal Sentiment Analytics

Healthcare / Aug 27, 2021

Ali, G. G. Md. N., Rahman, Md. M., Hossain, Md. A., Rahman, Md. S., Paul, K. C., Thill, J.-C., & Samuel, J. (2021). Public Perceptions of COVID-19 Vaccines: Policy Implications from US Spatiotemporal Sentiment Analytics. Healthcare, 9(9), 1110. https://doi.org/10.3390/healthcare9091110

Textual Data Distributions: Kullback Leibler Textual Distributions Contrasts on GPT-2 Generated Texts with Supervised, Unsupervised Learning on Vaccine & Market Topics & Sentiment

SSRN Electronic Journal / Jan 01, 2021

Samuel, J. (2021). Textual Data Distributions: Kullback Leibler Textual Distributions Contrasts on GPT-2 Generated Texts with Supervised, Unsupervised Learning on Vaccine & Market Topics & Sentiment. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.3856396

Would you please like my tweet?! An artificially intelligent, generative probabilistic, and econometric based system design for popularity-driven tweet content generation

Decision Support Systems / May 01, 2021

Garvey, M. D., Samuel, J., & Pelaez, A. (2021). Would you please like my tweet?! An artificially intelligent, generative probabilistic, and econometric based system design for popularity-driven tweet content generation. Decision Support Systems, 144, 113497. https://doi.org/10.1016/j.dss.2021.113497

COVID-19 Public Sentiment Insights and Machine Learning for Tweets Classification

Information / Jun 11, 2020

Samuel, J., Ali, G. G. Md. N., Rahman, Md. M., Esawi, E., & Samuel, Y. (2020). COVID-19 Public Sentiment Insights and Machine Learning for Tweets Classification. Information, 11(6), 314. https://doi.org/10.3390/info11060314

Education

Baruch College

PhD, Information Systems / 2007

New York, New York, United States of America

Experience

Rutgers University

Associate Professor / 2021Present

Axivest

CIO / 2012Present

Links & Social Media

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