Jim Samuel
Associate Professor at Rutgers University
Research Interests
About
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
Experience
Rutgers University
Associate Professor / 2021 — Present
Axivest
CIO / 2012 — Present
Links & Social Media
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