Jingjing Li (李静静)

“How Platform Gatekeeping Affects Knowledge Sharing among Complementors,” Strategic Management Journal,  2022 (with Y. Zhang and T. Tong).

“Individualism during Crises,”  Review of Economics and Statistics, 2021 (B. Bian, J. Li, T. Xu, and N. Foutz; First three authors contribute equally).

•  INFORMS CIST Best Paper Award 2020

• Talks: University of Minnesota, University of Washington, Shanghai University of Finance and Economics

• Presented to the Biden Administration COVID-19 Response Team at the U.S. Department of Health and Human Services 

• Coverage: UVA Today, Insights at Sauder

“Path to Purpose? How Online Customer Journeys Differ for Hedonic versus Utilitarian Purchases,” Journal of Marketing, 2020 (with A. Abbasi, A. Cheema, and L. Abraham).

•  Shelby D. Hunt/Harold H. Maynard Award Finalist, Journal of Marketing, 2020

“TheoryOn: A Design Framework and System for Unlocking Behavioral Knowledge through Ontology Learning, ” MIS Quarterly, 2020 (with K. Larsen and A. Abbasi).

•  INFORMS ISS Design Science Award 2019

•  WITS Best Prototype Award 2016

•  AWS Research Grant 2015 ($5,000)

“A Deep Learning Architecture for Psychometric Natural Language Processing,” ACM Transactions on Information Systems (TOIS), 2020 (with A. Abbasi, F. Ahmad, D. Dobolyi, R. Netemeyer, G. Clifford, and H. Chen).

• INFORMS Data Science Workshop Best Paper Nominee 2018

• Microsoft Azure Award 2017 ($25,000)

“Don’t Mention It? Analyzing User-Generated Content Signals for Early Adverse Event Warnings,” Information Systems Research, 2019 (with A. Abbasi, D. Adjeroh, M. Abate, and W. Zheng).

•  WITS Best Paper Award 2015

•  NSF Award 2018 ($500,000; UVA share $230,000)

“Advanced Customer Analytics: Strategic Value through Integration of Relationship-Oriented Big Data,” Journal of Management Information Systems, 2018 (with B. Kitchens, D. Dobolyi, and A. Abbasi).

“Make 'Fairness by Design' Part of Machine Learning,” Harvard Business Review, 2018 (with A. Abbasi, G. Clifford, and H. Taylor).

Jefferson Trust Grant, "UVAi Vanguard: Transforming UVA’s Academic Landscape with AI & Large Language Models," 2024

Poets&Quants Best Undergraduate Professor, 2023

Analytics Resources Award, "Responsible-by-Design: Combating Biases in Generative AI Applications," 2023

Best Paper Award Nominee, WITS, 2022

Best Paper Award, INFORMS Workshop on Data Science, 2021

Best Paper Award Nominee, INFORMS Conference on Information Systems and Technology (CIST), 2021

AWS Research Grant, 2021

Google Cloud Research Grant, 2021

Databricks Teaching Grant, 2021

Shelby D. Hunt/Harold H. Maynard Award Finalist, Journal of Marketing, 2020

CIST Best Paper Award, INFORMS, 2020

ISS Design Science Award, INFORMS, 2019

Outstanding Service as Industry and Prototype Chair, Workshop on Information Technologies and Systems (WITS), 2018 

NSF Award, “Social Media Based Analysis of Adverse Drug Events: User Modeling, Signal Reliability, and Signal Validation,” (Co-PI),  $500,000, UVA Share $230,000, 2018- 2021

Best Paper Nominee, INFORMS Workshop on Data Science, 2018

Microsoft Azure Award, “Psychometric NLP for Patient Care and Coordination,” (Co-PI),  $25,000, Microsoft Research (Microsoft Azure Research Award CRM:0740129), $25,000, 2017-2019 

Best Prototype Award, Workshop on Information Technologies and Systems (WITS), 2016 

Best Paper Award, Workshop on Information Technologies and Systems (WITS), 2015 

AWS Research Grant, (PI), $5,000, Amazon, 2015 

Ship-it Award, Microsoft, 2014 

Teaching Award, Leeds School of Business, University of Colorado, 2012 (Awarded to one instructor per semester) 

University Fellowship Award, University of Colorado, 2009 – 2012

The Linguistic Institute Fellowship, Linguistic Institute, 2011

Hart Fellowship Award, Leeds School of Business, University of Colorado, 2009 – 2011 

China National Scholarship, Chinese Government, 2007 (Awarded to 0.2% college students in China) 

Honorable Mention, The American Interdisciplinary Contest in Modeling (ICM), 2007

Second Place, China Undergraduate Mathematical Contest in Modeling, 2006

Li, J., Foutz, N., Zhang, C., Deng, H. (2022) Does engagement always lead to purchases? The role of agency-communion orientations and impression management. Workshop on Information Technologies and Systems (WITS), Copenhagen, Denmark.  Best Paper Award Nominee

Li, J., Foutz, N., Zhang, C., Deng, H. (2022) Does engagement always lead to purchases? The role of agency-communion orientations and impression management. INFORMS Workshop on Data Science, Indianapolis. 

Li, J. Montgomery, N., Mousavi, R. (2022) How a Brand’s Social Media Response to Social Justice Activism Impacts Consumer Perceptions: The Role of Brand Relationship Norms. INFORMS Conference on Information Systems and Technology (CIST).

Li, J., Foutz, N., Zhang, C., Deng, H. (2022) Does engagement always lead to purchases? The role of agency-communion orientations and impression management. Marketing Analytics Symposium Sydney (MASS).

Liu, S., Li, J., Zhang, K., Tang, S. (2021) Responsible IS by Design: A Psychology-Informed Social Connection Recommender System for Mental Health. Workshop on Information Technologies and Systems (WITS), Austin, Texas.

Liu, S., Li, J., Zhang, K., Tang, S. (2021) Responsible IS by Design: A Psychology-Informed Social Connection Recommender System for Mental Health. Conference on Artificial Intelligence, Machine Learning, and Business Analytics.

Liu, S., Li, J., Zhang, K., Tang, S. (2021) Responsible IS by Design: A Psychology-Informed Social Connection Recommender System for Mental Health. INFORMS Workshop on Data Science. Best Paper Award.

Li, J., Yang, J., Qu, Y. (2021) Building Resilience During Crises: A Big Data Empowered Reinforcement Learning Approach for Airline Insurance. Workshop on Information Technologies and Systems (WITS), Austin, Texas.

Li, J., Yang, J., Qu, Y. (2021) Building Resilience During Crises: A Big Data Empowered Reinforcement Learning Approach for Airline Insurance. Conference on Artificial Intelligence, Machine Learning, and Business Analytics.

Li, J., Yang, J., Qu, Y. (2021) Building Resilience During Crises: A Big Data Empowered Reinforcement Learning Approach for Airline Insurance. INFORMS Workshop on Data Science

Li, J., Yang, J., Qu, Y. (2021) Building Resilience During Crises: A Big Data Empowered Reinforcement Learning Approach for Airline Insurance. INFORMS Annual Meeting.

Li, J. Zhang, Q. Zhang C., & Foutz, N. (2021) Your Voice Matters! Impact of Speech Features, Styles and Synchrony on Marketing Communication Effectiveness. Conference on Artificial Intelligence, Machine Learning, and Business Analytics.

Li, J. Zhang, Q. Zhang C., & Foutz, N. (2021) Your Voice Matters! Impact of Speech Features, Styles and Synchrony on Marketing Communication Effectiveness. INFORMS Conference on Information Systems and Technology (CIST). Best Paper Award Nominee.

Li, J. Zhang, Q. Zhang C., & Foutz, N. (2021) Your Voice Matters! Impact of Speech Features, Styles and Synchrony on Marketing Communication Effectiveness. KDD MLCM (Machine Learning for Consumers and Markets) Workshop

Li, J. Zhang, Q. Zhang C., & Foutz, N. (2021) Your Voice Matters! Impact of Speech Characteristics on Marketing Communication Effectiveness. AIM (Artificial Intelligence in Management) Virtual Workshop and Conference.

Bian, B., Li, J., Xu, T., & Foutz, N. (2020) Individualism during crises: Big data analytics of collective actions amid COVID-19.  Conference on Artificial Intelligence, Machine Learning, and Business Analytics. **First three authors contribute equally **

Bian, B., Li, J., Xu, T., & Foutz, N. (2020) Individualism during crises: Big data analytics of collective actions amid COVID-19.  INFORMS Conference on Information Systems and Technology (CIST). **First three authors contribute equally ** Best Paper Award.

Ahmad, F., Abbasi, A., Li, J., Dobolyi, D., Netemeyer, R., Clifford, G., & Chen, H. (2020). A deep learning architecture for psychometric natural language processing. 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), Xi’an, China.

Li, J., Abbasi, A., Ahmad, A., and Chen H. (2018) “A Deep Learning Architecture for Psychometric Natural Language Processing,” Workshop on Information Technologies and Systems (WITS), San Jose, California.

Li, J., Abbasi, A., Ahmad, A., and Chen H. (2018) “A Deep Learning Architecture for Psychometric Natural Language Processing,” INFORMS Workshop on Data Science, Houston, TX. Best Paper Nominee.

Zhang, Y., Li, J., and Tong, W. (2018) “Platform Governance Matters: How Platform Gatekeeping Affects Knowledge Sharing among Complementors,” National Bureau of Economic Research (NBER), Boston, MA.

Li, J., Ge, Y., Hong, Y., Cheema A., and Gu, B. (2017) “Textual Review Dimensionality And Helpfulness: A Multi-Method Study,” Workshop on Information Technologies and Systems (WITS), Seoul, South Korea

Li, J., Ge, Y., Hong, Y., Cheema A., and Gu, B. (2017) “Textual Review Dimensionality And Helpfulness: A Multi-Method Study,” Conference on Information Systems and Technology (CIST), Houston, Texas.

Li, J., Larsen, K.R., and Abbasi, A. (2017) “Unlocking Our Behavioral Knowledge Inheritance through Ontology Learning: a Design Framework, an Instantiation, and a Randomized Experiment,” INFORMS Workshop on Data Science, Houston, Texas.

Li, J., Abbasi, A., Cheema, A., and Abraham, L. (2016) “Path to Purpose? Impact of Online Purchases’ Hedonic and Utilitarian Characteristics on the Customer Journey,” Workshop on Information Technologies and Systems, Dublin, Ireland.

Li, J., Larsen K., and Abbasi, A. (2016) “Unlocking Knowledge Inheritance of Behavioral Research through Ontology Learning: An Ontology-Based Search Engine,” Workshop on Information Technologies and Systems, Dublin, Ireland. Best Prototype Award

Li, J., Larsen K., and Abbasi, A. (2016) “TheoryOn: Designing a Construct-based Search Engine to Reduce Information Overload for Behavioral Science Research,” Design Science Research in Information Systems and Technologies (DESRIST), St John’s, NL, Canada.

Abbasi, A., Li, J., Adjeroh, D., Abate, M., and Zheng W. (2015) “Don’t Mention It? Analyzing User-generated Content Signals for Early Adverse Drug Event Warnings,” Workshop on Information Technologies and Systems (WITS), Fort Worth, TX. Best Paper Award.

Ye, X., Li, J., Qi, Z., He, X. (2015). “Enhancing Retrieval and Ranking Performance for Media Search Engine by Deep Learning,” Hawaii International Conference on System Sciences, Kauai, HI.

Ge, Y., Li, J. (2015). “Measure and Mitigate the Dimensional Bias in Online Reviews and Ratings,” International Conference on Information Systems (ICIS), Fort Worth, TX.

Ye, X., Qi, Z., Li, J. (2015). “Learning Relevance from Click Data via Neural Network based Similarity Models,” IEEE Big Data, Santa Clara, CA.

Ye, X., Li, J., Qi, Z., Peng, B. and Massey, D. (2014). “A Generative Model for Generating Relevance Labels from Human Judgments and Click-Logs,” ACM International Conference on Information and Knowledge Management (CIKM), Shanghai, China.

Li, J., Ye, X., and Li, D. (2014). “Improving Xbox Search Relevance by Click Likelihood Labeling,” HCI International Conference, Creta Maris, Heraklion, Crete, Greece.

Li, J. (2013). “Combining Algorithms and User Experience: A Hybrid Personalized Movie Recommender Based on Perceived Similarity,” Americas Conference on Information Systems (AMCIS), Chicago, IL.

Li, J., and Larsen, K.R. (2013). “Tracking Behavioral Construct Use through Citations: A Relation Extraction Approach,” International Conference on Information Systems (ICIS), Milan, Italy.

Li, J., and Larsen, K.R. (2011).”Establishing Nomological Networks for Behavioral Science: A Natural Language Processing Based Approach,” International Conference on Information Systems (ICIS), Shanghai, China, 2011.

Larsen, K.R., Lee, J., Li, J., and Bong, C.H. (2010). “A Transdisciplinary Approach to Construct Search and Integration,” 16th Americas Conference on Information Systems (AMCIS), Lima, Peru: Paper 524.

McIntire School of Commerce, University of Virginia (2014-Present)  

• COMM 4260 Business Analytics with Python (Undergraduate Business Analytics Core, 1-year Avg. Rating 4.9/5) 

• COMM 4260 Business Analytics (Undergraduate Business Analytics Core, 5-year Avg. Rating 4.6/5) 

• COMM 4261 Big Data (Undergraduate Business Analytics, 5-year Avg. Rating 4.7/5)  

• GCOM 7280 Big Data (Master of Commerce Business Analytics, 5-year Avg. Rating 4.6/5)  

• MS MIT Big Data (Executive Master in IT , 5-year avg. Rating 4.5/5)  

• MSBA Big Data (Executive Master in Business Analytics, Rating 4.6/5)

Leeds School of Business, University of Colorado at Boulder (2011 – 2012)  

• OPIM 3100 Business Intelligence (Undergraduate, Spring 2012 Teaching Award, Spring 2011 Teaching Award Finalist) 

“Responsible Machine Learning,” Saarland University, Germany, August 2023.

“Building Machine Learning Resilience during Crises,” University of Colorado, Boulder, March 2023.

“Building Machine Learning Resilience during Crises,” University of Wisconsin, Milwaukee, November 2022.

“How a Brand’s Social Media Response to Social Justice Activism Impacts Consumers’ Brand Evaluations: The Role of Brand Relationship Norms”, KDD Workshop on Customer Journey Optimization, August 15th, 2022.

“Building Machine Learning Resilience during Crises”, Women in Data Science, Santa Clara University, Santa Clara, May 7th, 2022.

“Building Machine Learning Resilience”, Knowledge Continuum, Center for Management of Information Technology, McIntire School of Commerce, Charlottesville, August 20th, 2021

“TheoryOn: A Design Framework and System for Unlocking Behavioral Knowledge through Ontology Learning”, Pamplin College of Business, Virginia Tech, April 2nd, 2021

“Individualism During Crises: Big Data Analytics of Collective Actions Amid COVID-19”, TGIF (Think Grapple Innovate Fridays): Research Seminar Series on Data Science in Business, March 18th, 2021.

“Individualism During Crises: Big Data Analytics of Collective Actions Amid COVID-19”, Virginia Research Seminar Series, March 5th, 2021. 

“TheoryOn: A Design Framework and System for Unlocking Behavioral Knowledge through Ontology Learning”, Sauder School of Business, University of British Columbia, January 29th, 2021

“Individualism During Crises: Big Data Analytics of Collective Actions Amid COVID-19,” School of Economics and Management, Shanghai Jiaotong University, Shanghai, December 2nd, 2020.

“Individualism During Crises: Big Data Analytics of Collective Actions Amid COVID-19,” Forster School of Business, University of Washington, Seattle, October 30th, 2020.

 “AI-enabled Healthcare Analytics,” School of Information Management & Engineering, Shanghai University of Finance and Economics, Shanghai, China. August 11th, 2020.

"Individualism During Crises,"Carlson School of Management, University of Minnesota, Minneapolis, June 12th, 2020.

“A Deep Learning Architecture for Psychometric Natural Language Processing”, Carlson School of Management, University of Minnesota, Minneapolis, October 4th, 2019.

“A Deep Learning Architecture for Psychometric Natural Language Processing”, INFORMS Health Applications Cluster, Phoenix, November 5th, 2018.

“Platform Governance Matters: How Platform Gatekeeping Affects Knowledge Sharing among Complementors,” SMJ Special Issue Conference on Platform Ecosystems, Minneapolis, MN, October 27th, 2018.

“Platform Governance Matters: How Platform Gatekeeping Affects Knowledge Sharing among Complementors,” National Bureau of Economic Research (NBER), Boston, MA, July 19-20, 2018.

“A Deep Learning Architecture for Psychometric Natural Language Processing”, 2018 Annual ISOM Research Workshop, University of Florida, March 23rd, 2018.

“Impact of Online Purchases’ Hedonic and Utilitarian Characteristics on the Customer Journey”, Annual Business Analytics Colloquium, McIntire School of Commerce, University of Virginia, Charlottesville, VA, September 1st, 2017

“Unlocking Knowledge Inheritance of Behavioral Research through Ontology Learning: An Ontology-Based Search Engine”, NSF Workshop on Behavioral Ontology, Boulder, CO, August 9th, 2017

“Gatekeeping Policy and Knowledge Sharing among Platform Complementors: Evidence from App Developers”, POMS Annual Meeting, Seattle, WA, May 5th  2017

“Textual Review Dimensionality and Helpfulness: A Multi-Method Study”. George Mason University, Fairfax, VA, April 21st, 2017

“Artificial Intelligence and Big Data”, Missouri University of Science and Technology, October 20th, 2016

“Artificial Intelligence in the Enterprise” (with Grazioli, S.), Knowledge Continuum, Charlottesville, VA, May 13th, 2016

“The Artificial Intelligence Renaissance: Implications of Deep Learning”, Deloitte UVA Alumni Professor Series Event, Arlington, VA, March 25th, 2016

“An Efficient Method of Nomological Network Discovery for Behavioral Research”, Quantitative Psychology Seminar, University of Virginia, Charlottesville, VA, October 7th, 2015

“Introduction to Business Analytics” (with Netemeyer, R.), Finance Forward Conference, Charlottesville, VA, June 10th, 2015

“A Similarity-Based Personalized Movie Recommender”, Microsoft, Bellevue, WA, August 9th, 2012

“How do Chinese think about Cars: A Sentiment Analysis on Online Auto Reviews”, JD Power and Associate, The McGraw-Hill Companies, Boulder, CO, October 6th, 2010

• Conference Co-Chair: WITS (2023)

• ICIS Track Chair, Data Analytics for Business and Societal Challenges, 2024

• Associate Editor: MIS Quarterly (2022-2025)

• Conference Co-Chair: INFORMS Workshop on Data Science (2023)

• Program Committee Co-Chair, INFORMS Data Science Workshop (2022)

• Track Co-Chair:  PACIS (2021), AMCIS (2023)

• Industry Talks Chair: WITS (2020)

• Program Organizing Committee: WITS (2018)

• Conference Program Committee: WITS (2016-2021), INFROMS Workshop on Data Science (2017-2021),  Conference on Information Systems and Technology (2020-2021)

• Session Chair: ICIS (2018), WITS (2016, 2018), INFORMS Workshop on Data Science (2018)

• Associate Editor: ICIS (2018, 2020, 2021, 2023) PACIS (2020)

• Panels: AMCIS Doctoral Consortium "Navigating the Job Market" (2020)

• Journal Reviewer: MIS Quarterly (MISQ), Information Systems Research (ISR), Journal of Management Information Systems (JMIS), Journal of the Association for Information Systems  (JAIS), Journal of Business Analytics (JBA), ACM Transactions on Management Information Systems (TMIS), Information & Management, International Journal of Electronic Commerce, IEEE Intelligent Systems

• Conference Reviewer: ICIS, WITS, AMCIS, HICSS, DSI, INFORMS, WCBA

• Professional Membership: Association of Information Systems (AIS), Institute for Operations Research and the Management Sciences (INFORMS)