Jingjing Li (李静静)

"Automating in High-Expertise, Low-Label Environments: Evidence-Based Medicine by Expert-Augmented Few-Shot Learning," MIS Quarterly, 2025 (R. Liu, J. Li, M. Zivkovic, A. Abbasi; first two authors are co-first authors)

“Individualism during Crises,”  Review of Economics and Statistics, 2022 (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

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

“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).

Selected Working Papers

[1] Zhang, X., Cai, J., Li, J., Abbasi, Designing for Digital Traces: A Framework for Holistic and Interpretable Tensor-based Representations. Revise and Resubmit at Information Systems Research.

[2] Qiao, D., Xiong, Q., Li, J. Understanding the Impact of Brands’ Social Media Activism on Product Sales. Revise and Resubmit at MIS Quarterly.

[3] Deng, H., Li, J., Foutz, N., Zhang, C.  Free-to-play or Pay-to-play: The Role of Agentic and Communal Orientations in Online Gaming. Revise and Resubmit at MIS Quarterly. 

• WITS Best Paper Award Nomination 2022

[4] Zhang, M., Gao, Y., Li, J., Johnson, S. When Influencers Delegate Replies: How Social AI Agents Shape User Engagement. Revise and Resubmit at Information Systems Research.

[5] Bian, B., Li, J., Li, Kai. Does Mandating Women on Corporate Boards Backfire? **Equal authorship**. Under review at the Review of Economic Studies.

[6] (with Yuqi Wu, Guangya Wan, Yanbo Zhang, Jie Chen) WiseMind: Recontextualizing AI with a Knowledge-Guided, Theory-Informed Multi-Agent Framework for Instrumental and Humanistic Benefits. Under review at Nature Digital Medicine.

Outstanding Associate Editor, MIS Quarterly, 2024

Outstanding Service Award as Conference Co-Chair, Workshop on Information Technologies and Systems (WITS), 2024

Annual Faculty Recognition Award, The Order of Claw and Dagger, 2024

Poets&Quants Best Undergraduate Professor, 2023

Best Paper Award Nominee, Workshop on Information Technologies and Systems (WITS), 2022

Best Paper Award, INFORMS Workshop on Data Science, 2021

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

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

CIST Best Paper Award, INFORMS Conference on Information Systems and Technology, 2020

ISS Design Science Award, INFORMS, 2019

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

Best Paper Nominee, INFORMS Workshop on Data Science, 2018

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

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

Grants

National Institute of Health (Co-Investigator; Pending), “Advancing Precision Support to Mitigate Financial Toxicity: A Multi-Level Longitudinal Study in Breast Cancer Survivors,” $ 4,040,436, 2026-2031

New Frontiers in Research Fund Canada (Co-Applicant; Pending), “Transforming Adolescent Mental Health: AI Enhancement of Mental Health Literacy to Enable Promotion, Early Identification, Intervention, and System Navigation,” $24,000,000,  2026-2032

Commonwealth Health Research Board (PI; Pending), “Enhancing Physician Workflows and Well-Being in the Commonwealth with Generative AI: Impacts of DAX Copilot in a Major Health System,” $260,000, 2026-2028

UVA Analytics Resources Award (PI), “Revolutionizing Physician Workflows and Well-being with Generative AI:  Field Study on the Adoption and Impacts of DAX Copilot at UVA Health,” $10,000, 2025-2026

Thriving Youth in a Digital Environment (TYDE) Postdoc Fellowship (PI), “Digital Technology and Youth Mental Health,” $130,000, 2024

Jefferson Trust (Co-PI), “UVAi Vanguard: Transforming UVA’s Academic Landscape with AI & Large Language Models,” $112,800, 2024

4-VA Collaborative Research Grant (PI), “Building Machine Learning Resilience during Disasters,” $10,000, 2024

UVA Analytics Resources Award (PI), $8,000, 2023

UVA CTE Thrive Grant (Co-PI), $10,000, 2023

National Science Foundation (Co-PI), $500,000, UVA Share: $230,000, 2018–2021

AWS Research Grant (PI), $6,000, 2021

Google Cloud Research Grant (PI), $5,000, 2021

Databricks Teaching Grant (PI), $10,000, 2021, 2022, 2023

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

AWS Research Grant (PI), “Ontology Learning from Behavioral Research,” Amazon, $5,000, 2015

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) 

• Associate Editor: MIS Quarterly (2022-2025)

• Editorial Review Board: Journal of the Association for Information Systems (2024)

• WITS Board Member—Industry Liaison (2025-2027)

• AIS SIGTECH—Secretary/Treasurer (2025-2027)

• INFORMS College on AI—Industry Liaison (2025-2027)

• Conference Co-Chair: WITS (2024), INFORMS Workshop on Data Science (2023)

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

• Track Co-Chair:  ICIS (2024-2025), PACIS (2021), AMCIS (2023)

• Industry Talks Chair: WITS (2020)

• Program Organizing Committee: WITS (2018)

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

• 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)