Research Assistant Professor
McGuinn Hall 106J
Email: ritika.pandey@bc.edu
Data science
Machine learning
Network analysis
Dr. Ritika Pandey is a Research Assistant Professor at Boston College School of Social Work, where she works as a data scientist on the Gateway Initiative-- a partnership between the school and communities in Massachusetts's Gateway Cities, drawing on publicly available data and partnering directly with community stakeholders and non-profit organizations to develop data-driven solutions with meaningful social impact. She earned her Ph.D. in Computer Science from Purdue University, where her dissertation focused on rewiring police officer training networks to reduce forecasted use of force. Her research lies at the intersection of machine learning, natural language processing, and large language models, with applications in social harm, criminal justice, and public health. Her previous work includes modeling homicide investigations using knowledge graphs and analyzing transitions in drug use and recovery through text mining of online communities.
Ritika Pandey, Jeremy Carter, James Hill, and George Mohler. 2023. Rewiring Police Officer Training Networks to Reduce Forecasted Use of Force. In Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD '23). Association for Computing Machinery, New York, NY, USA, 4696–4704. https://doi.org/10.1145/3580305.3599899
R. Pandey, P. J. Brantingham, C. D. Uchida and G. Mohler, "Building knowledge graphs of homicide investigation chronologies," 2020 International Conference on Data Mining Workshops (ICDMW), Sorrento, Italy, 2020, pp. 790-798, doi: 10.1109/ICDMW51313.2020.00115.
John Lu, Sumati Sridhar, Ritika Pandey, Mohammad Al Hasan, and Georege Mohler. 2019. Investigate Transitions into Drug Addiction through Text Mining of Reddit Data. In Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD '19). Association for Computing Machinery, New York, NY, USA, 2367–2375. https://doi.org/10.1145/3292500.3330737
R. Pandey and G. O. Mohler, "Evaluation of crime topic models: topic coherence vs spatial crime concentration," 2018 IEEE International Conference on Intelligence and Security Informatics (ISI), Miami, FL, USA, 2018, pp. 76-78, doi: 10.1109/ISI.2018.8587384.