Publications
Books
Human-Centered Data Science: An Introduction (2022)
“Best practices for addressing the bias and inequality that may result from the automated collection, analysis, and distribution of large datasets”
Articles
2023
- Hasan, M. K., Saxena, D., Rubaiat, Y., Ahamed, S. I., & Guha, S. Design Recommendations towards Developing a Smartphone-Based Point-of-Care Tool for Rural Bangladeshi Users.
- McConvey, K., Guha, S., & Kuzminykh, A. A Human-Centered Review of Algorithms in Decision-Making in Higher Education.
- Saxena, D., Moon, E. S.-Y., Chaurasia, A., Guan, Y., & Guha, S. Rethinking “Risk” in Algorithmic Systems Through A Computational Narrative Analysis of Casenotes in Child-Welfare.
- Chui, V., Pater, J., Toscos, T., & Guha, S. Applying Human-Centered Data Science to Healthcare: Hyperlocal Modeling of COVID-19 Hospitalizations.
2022
- Muller, M., Agelov, P., Daume, G., Guha, S., Liao, Q. V., Oliver, N., & Piorkowski, D. HCAI@ NeurIPS 2022, Human Centered AI.
- Jarrahi, M. H., Memariani, A., & Guha, S. The Principles of Data-Centric AI (DCAI).
- Nova, F. F., Pfafman, R., Kardys, K., Kerrigan, C., Guha, S., & Pater, J. Uncovering adverse childhood experiences (aces) from clinical narratives within the electronic health record.
- Stapleton, D., Saxena, D., Kawakami, A., Nguyen, T., Ammitzboll Flugge, A., Eslami, M., Holten Moller, N., Kyung Lee, M., Guha, S., Holstein, K., & Zhu, H. Who Has an Interest in “Public Interest Technology”?: Critical Questions for Working with Local Governments & Impacted Communities.
- Clancy, K., Chudzik, J., Snowden, A., J., & Guha, S. Reconciling data-driven crime analysis with human-centered algorithms.
- Tanweer, A., Aragon, C., R., Muller, M., Guha, S., Passi, S., Neff, G., & Kogan, M. Interrogating Human-centered Data Science: Taking Stock of Opportunities and Limitations.
- Saxena, D., Repaci, C., Sage, M. D., & Guha, S. How to Train a (Bad) Algorithmic Caseworker: A Quantitative Deconstruction of Risk Assessments in Child Welfare.
- Saxena, D., Moon, S. Y., Shehata, D., & Guha, S. Unpacking Invisible Work Practices, Constraints, and Latent Power Relationships in Child Welfare through Casenote Analysis.
- Zytko, D, Wisniewski, P. J., Guha, S., Baumer, E. P., & Lee, M. K. Participatory Design of AI Systems: Opportunities and Challenges Across Diverse Users, Relationships, and Application Domains.
- Nova, F. F., Coupe. A., Mynatt, E. D., Guha, S., & Pater, J. A. Cultivating the community: inferring influence within eating disorder networks on twitter.
2021
- Campbell, L., George, A., & Guha, S. Practitioner Attitudes towards an Early Warning System: From Professional Distraction to Relational Support.
- Saxena, D., Badillo-Urquiola, K., Wisniewski, P. J., & Guha, S. A framework of high-stakes algorithmic decision-making for the public sector developed through a case study of child-welfare.
- Campbell, L., George, A., & Guha, S. Communication and Algorithmic Decision making in a Virtual Healthcare Context.
- Skeba, P., Saxena, D., Guha, S., & Baumer, E. P. Who has a Choice?: Survey-Based Predictors of Volitionality in Facebook Use and Non-use.
- Nova, F. F., DeVito, M. A., Saha, P., Rashid, K. S., Turzo, S. R., Afrin, S., & Guha, S. “Facebook Promotes More Harassment” Social Media Ecosystem, Skill and Marginalized Hijra Identity in Bangladesh.
- Hasan, M. K., Aziz, M. H., Zarif, M. I. I., Hasan, M., Hashem, M., Guha, S., Love, R. R., & Ahamed, S. Noninvasive Hemoglobin Level Prediction in a Mobile Phone Environment: State of the Art Review and Recommendations.