Gautam Pant

Research

My research focuses on using machine learning/AI, data science, and econometrics to derive insights about firms, markets, labor, and communities. For this purpose, I leverage unstructured and distributed data sources such as the web and social media with predictive analytics, text mining, and network science. I study questions related to inter-firm competition, human resource analytics, innovation, sustainability and resilience, diversity, online visibility, and health communities.

Select Awards

•  Best Student Paper Award, INFORMS Workshop on Data Science, 2022

• Best Paper Award runner-up, WITS , 2020

• Best Associate Editor, Information Systems Research (ISR) Journal, 2013

• David Eccles Emerging Scholar, David Eccles School of Business, University of Utah, 2009

Select Service Roles

• Senior Editor, Information Systems Research (ISR), 2022-Present.

• Associate Editor, Service Science, 2020-Present.

• Review Editor, Journal of the Association for Information Science and Technology (JASIST),  2017 – Present.

• Director, Graduate Studies in Business Analytics, University of Iowa, 2019-2022.

• Associate Editor, Information Systems Research (ISR), 2011-2016, 2018-2021.

• Guest Co-Editor, Special Issue of the Journal of the Association of Information Systems (JAIS), “Addressing Societal Challenges through Analytics”,  2017- 2020.

• Editorial Board Member, Special Issue of Information Systems Research (ISR), “Humans, Algorithms, and Augmented Intelligence: The Future of Work, Organizations and Society”, 2018-2020.

• Co-Chair, INFORMS Workshop on Data Science, 2021.

• Review  Co-Chair/Review Coordinator, Workshop on Information Technology and Systems (WITS), 2016 and 2019.

• Co-Director, Business Analytics and Information Systems undergraduate program, University of Iowa, 2014-2017.  Participated in the proposal and initiation of new Business Analytics & IS major. 

• Founding Co-organizer, Winter Conference on Business Intelligence (now WCBA), University of Utah

• Mentor, AMCIS doctoral consortium, 2020

Select Working Papers

• Liu, Y., Pant, G., Sheng, O. R.L.: Predicting Employee Turnover through Network Embeddedness. [WITS 2020 Best Paper Award runner-up]

• Namdar, J., Pant, G.,  Blackhurst, J.: Impact of Industrial and Geographical Concentrations of Upstream Industries on Firm Performance during COVID-19.

• Ramaraju, N., Pant, G., Pant, S.: What’s Good for the Goose is Good for the Gander: Gender Diversity of Inventors and Firm Innovation. [WISE 2020 Best Student Paper Nomination]

• Liu, Y., Pant, G., Pant, S.: Digital Prophylaxis for Firm Resilience: A Study On COVID-19 Disruption. 

• Liu, Y., McKee, E., Pant, G., Pant, S.: Human Capital Migration Networks and Stock Returns. 

• Liu, Y., Pant, G., Sheng, O. R.L.: The Effect of Skilled Immigrants and High-Tech Skills on Employee Retention.

• Wang, X., Liu, Y., Zhao, K., Pant, G.: The Identification and Prediction of Social Role Dynamics in An Online Health Community.

Select Journal Publications: [Google Scholar]

• Yoon, J., Pant, G., Pant, S (Forthcoming).: Discovery of Technological Innovation Systems: Implications for Predicting Future Innovation. Journal of Management Information Systems.

• Liu, Y., Pant, G., Sheng, O. R.L. (2020). Predicting Labor Market Competition: Leveraging Interfirm Network and Employee Skills. Information Systems Research, 31 (4).

• Yu, W., Ma, Z., Pant, G. & Hu, J. (2020). The Effect of Virtual Tours on House Price and Time on Market. Journal of Real Estate Literature.

• Ketter, W.,  Padmanabhan, B., Pant, G., Raghu, T.S. (2020). Addressing Societal Challenges through Analytics: An ESG ICE Framework and Research Agenda. Journal of the Association for Information Systems, 21 (5) , Article 9.

• Kim, I., Pant, G. (2019). Predicting Web Site Audience Demographics Using Content and Design Cues. Information & Management, 56 (5), 718-730.

• Pant, G., Pant, S. (2018). Visibility of corporate websites: The role of information prosociality. Decision Support Systems, 106, 119-129.

• Pant, G., Sheng, O. R.L. (2015). Web Footprints of Firms: Using Online Isomorphism for Competitor Identification. Information Systems Research, 26(1), 188-209. 

• Pant, G., Srinivasan, P. (2013). Status Locality on the Web: Implications for Building Focused Collections. Information Systems Research, 24(3), 802-821.

• Ma, Z., Sheng, O. R.L., Pant, G. & Iriberri, A. (2012). Can Visible Cues in Search Results Indicate Vendors' Reliability?. Decision Support Systems, 52(3), 768–775.

• Ma, Z., Pant, G. & Sheng, O. R.L. (2011). Mining Competitor Relationships from Online News: A Network-based Approach. Electronic Commerce Research and Applications, 10(4), 418-427. (Editor's Choice Article)

• Ma, Z., Pant, G. & Sheng, O. R.L. (2010). Examining the Organic and Sponsored Search Results: A Vendor Reliability Prespective. Journal of Computer Information Systems, 50(4), 30-38.

• Pant, G., Srinivasan, P. (2010). Predicting Web Page Status. Information Systems Research, 21(2), 345-364.

• Ma, Z., Sheng, O. R.L. & Pant, G. (2009). Discovering Company Revenue Relations from News: A Network Approach. Decision Support Systems, 47(4), 408-414.

• Ma, Z., Pant, G. & Sheng, O. R.L. (2007). Interest-based Personalized Search. ACM Transactions on Information Systems (TOIS), 25(1).

• Pant, G., Srinivasan, P. (2006). Link Contexts in Classifier-Guided Topical Crawlers. IEEE Transactions on Knowledge and Data Engineering (TKDE), 18(1), 107-122.

• Pant, G., Srinivasan, P. (2005). Learning to Crawl: Comparing Classification Schemes. ACM Transactions on Information Systems (TOIS), 23(4).

• Srinivasan, P., Menczer, F. & Pant, G. (2005). A General Evaluation Framework for Topical Crawlers. Information Retrieval, 8(3), 417-447.

• Menczer, F., Pant, G. & Srinivasan, P. (2004). Topical web crawlers: Evaluating adaptive algorithms. ACM Transactions on Internet Technology (TOIT), 4(4).

• Pant, G., Menczer, F. (2002). Autonomous Agents and Multi-Agent Systems. Autonomous Agents and Multi-Agent Systems, 5(2), 221-229.

Select Peer Reviewed Conferences: 

• Yoon, J., Pant, G., Pant, S. (2022). Discovery of Technological Innovation Systems: Implications for Predicting Future Innovation. INFORMS Workshop on Data Science. [Best Student Paper Award]

• Yoon, J., Pant, G., Pant, S. (2021). Predicting Innovation Through Topical Structure Discovery. 31th Workshop on Information Technology and Systems (WITS 2021).

• Liu, Y., Pant, G., Pant, S. (2021). Digital Prophylaxis for Firm Resilience: A Study On COVID-19 Disruption. INFORMS Conference on Information Systems and Technology (CIST).

• Ramaraju, N., Pant, G., Pant, S. (2020). What’s Good for the Goose is Good for the Gander: Gender Diversity of Inventors and Firm Innovation.  31st Workshop on Information Systems and Economics (WISE 2020). [Best Student Paper Nomination]

• Liu, Y., Pant, G., Sheng, O. R.L. (2020). Predicting Employee Turnover through Network Embeddedness. 30th Workshop on Information Technology and Systems (WITS 2020). [Best Paper Award runner-up]

• Ding Y., Zhou X., Pant, G. (2019). Deep Learning with Interaction Terms: An Experimental Exploration. 2019 INFORMS Workshop on Data Science (DS 2019).

• Liu, Y., Pant, G., Sheng, O. R.L. (2018). The Effect of Skilled Immigrants and IT Skills on Employee Retention. 2018 Conference on Information Systems and Technology (CIST).

• Liu, Y., Pant, G., Sheng, O. R.L. (2017). Predicting Employee Turnover: The Role of Demographics and Diversity. INFORMS Conference on Information Systems and Technology (CIST).

• Liu, Y., Pant, G., Sheng, O. R.L.  (2017). Predicting Human Capital Flow With Inter-firm Network. INFORMS Workshop on Data Science.

• Liu, Y., Pant, G., Sheng, O. R.L.  (2015). Predicting Human Capital Movement With LinkedIn Profiles. 26th Workshop on Information Systems and Economics (WISE).

• Wang, X., Zhao, K. & Pant, G. (2015). The Diffusion of User Roles via Social Networks in Online Health Communities. Proceedings of The 25th Annual Workshop on Information Technologies and Systems (WITS).

• Kim, I., Pant, G. (2010). Predicting Audience Demographics of Web Sites: Design vs. Content Cues. Workshop on Information Technologies and Systems (WITS).

• Pant, G., Sheng, O. R.L. (2009). Avoiding the Blind Spots: Competitor Identification Using Web Text and Linkage Structure. International Conference on Information Systems (ICIS).

• Ma, Z., Pant, G. & Sheng, O. R.L. (2009). A Network-Based Approach to Mining Competitor Relationships from Online News. International Conference on Information Systems (ICIS).

• Pant, G., Srinivasan, P. (2008). Utility-biased Web Crawler: Combining Topicality and Status. Workshop on Information Technologies and Systems (WITS).

• Ma, Z., Pant, G. & Sheng, O. R.L. (2007). The Inorganic Side of Paid Search. Workshop on e-Business.

• Ma, Z., Pant, G. & Sheng, O. R.L. (2006). Using Social Network Analysis to Automatically Discover Competitor Relationships from Business News. Workshop on e-Business.

• Ma, Z., Sheng, O. R.L. & Pant, G. (2005). Evaluation of Ontology-based User Interests Modeling. Workshop on e-Business.

• Pant, G. (2005). Building Web Collections for Vertical Markets. Workshop on Information Technologies and Systems (WITS).

• Pant, G., Tsioutsiouliklis, K., Johnson, J. & Giles, C. (2004). Panorama: Extending Digital Libraries with Topical Crawlers. pp. 142-150. Joint ACM/IEEE Conference on Digital Libraries.

• Pant, G., Menczer, F. (2003). Topical Crawling for Business Intelligence. pp. 233-244. European Conference on Research and Advanced Technology for Digital Libraries (ECDL).

• Pant, G., Bradshaw, S. & Menczer, F. (2003). Search Engine-Crawler Symbiosis: Adapting to Community Interests. pp. 221-232. European Conference on Research and Advanced Technology for Digital Libraries (ECDL).

• Pant, G. (2003). Deriving Link-context from HTML Tag Tree. 8th ACM SIGMOD Workshop on Research Issues in Data Mining and Knowledge Discovery (DMKD).

• Srinivasan, P., Mitchell, J., Bodenreider, O., Pant, G. & Menczer, F. (2002). Web Crawling Agents for Retrieving Biomedical Information. International Workshop on Agents in Bioinformatics (NETTAB).

• Pant, G. (2002). Exploration versus Exploitation in Topic Driven Crawlers. WWW 2002 Workshop on Web Dynamics.

• Degeratu, M., Pant, G. & Menczer, F. (2001). Latency-dependent fitness in evolutionary multithreaded Web agents. GECCO 2001 EcoMAS Workshop.

• Menczer, F., Pant, G., Srinivasan, P. & Ruiz, M. E. (2001). Evaluating Topic-Driven Web Crawlers. pp. 241-249. 24th annual international ACM SIGIR conference on Research and development in information retrieval.

• Sturgill, D., Pant, G. (1999). Evaluation Criteria for Genetically-Tuned Problem Solving Experts. Genetic and Evolutionary Computation Conference (GECCO).

Book Chapter:

• Pant, G., Srinivasan, P. & Menczer, F. (2003). Crawling the Web. Web Dynamics, Springer-Verlag.

Former PhD Students:

• Yuanyang Liu - Assistant Professor, Haslam College of Business, University of Tennessee 

• Hung Tran - Founder and CTO, Got It, Inc.

• Iljoo Kim  - Assistant Professor , Myongji University, Seoul 

• Zhongming Ma , Professor, California State Polytechnic University - Pomona