Empirical observation of negligible fairness–accuracy trade-offs in machine learning for public policy. Kit Rodolfa, Hemank Lamba, and Rayid Ghani. Nature Machine Intelligence 3, no. 10 (2021): 896-904.

An Empirical Comparison of Bias Reduction Methods on Real-World Problems in High-Stakes Policy Settings. Hemank Lamba, Kit T. Rodolfa, and Rayid Ghani. ACM SIGKDD Explorations Newsletter 23.1 (2021): 69-85.

Machine Learning Informed Decision-Making with Interpreted Model’s Outputs: A Field Intervention. Zejnilovic, Leid, Susana Lavado, Carlos Soares, Íñigo Martínez De Rituerto De Troya, Andrew Bell, and Rayid Ghani. ” In Academy of Management Proceedings, vol. 2021, no. 1, p. 15424. Briarcliff Manor, NY 10510: Academy of Management, 2021.

Predictive Fairness to Reduce Misdemeanor Recidivism Through Social Service Interventions. K. Rodolfa; E. Salomon; L. Haynes; I. Mendieta; J. Larson; R. Ghani. Proceedings of the ACM Conference on Fairness, Accountability, and Transparency (ACM FAT*) 2020.

Machine learning and artificial intelligence research for patient benefit: 20 critical questions on transparency, replicability, ethics, and effectiveness. Vollmer, S., Mateen, B.A., Bohner, G., Király, F.J., Ghani, R., Jonsson, P., Cumbers, S., Jonas, A., McAllister, K.S., Myles, P. and Grainger, D. British Medical Journal BMJ, 2020 368.

Predictive analytics for retention in care in an urban HIV clinic.Ramachandran, Arthi, Avishek Kumar, Hannes Koenig, Adolfo De Unanue, Christina Sung, Joe Walsh, John Schneider, Rayid Ghani, and Jessica P. Ridgway.  Nature Scientific reports 10, no. 1 (2020): 1-10.

Validation of a Machine Learning Model to Predict Childhood Lead Poisoning. Potash, E., Ghani, R., Walsh, J., Jorgensen, E., Lohff, C., Prachand, N. and Mansour, R., 2020. JAMA network open, 3(9), pp.e2012734-e2012734.

A recommendation and risk classification system for connecting rough sleepers to essential outreach services. Wilde, Harrison, Lucia L. Chen, Austin Nguyen, Zoe Kimpel, Joshua Sidgwick, Adolfo De Unanue, Davide Veronese, Bilal Mateen, Rayid Ghani, and Sebastian Vollmer. ” Data & Policy 3 (2021).

Mapping New Informal Settlements using Machine Learning and Time Series Satellite Images: An Application in the Venezuelan Migration Crisis. In 2020 IEEE/ITU International Conference on Artificial Intelligence for Good (AI4G) (pp. 198-203). IEEE.

An Experience-Centered Approach to Training Effective Data Scientists. Kit T Rodolfa, Adolfo De Unanue, Matt Gee, and Rayid Ghani. Big Data Journal. 2019.

Using Machine Learning to Help Vulnerable Tenants in New York City. Teng Ye, Rebecca Johnson, Samantha Fu, Jerica Copeny, Bridgit Donnelly, Alex Freeman, Mirian Lima, Joe Walsh, and Rayid Ghani. Proceedings of the 2nd ACM SIGCAS Conference on Computing and Sustainable Societies (COMPASS ’19). ACM, New York, NY, USA, 248-258.

Deploying Machine Learning Models for Public Policy: A Framework. Klaus Ackermann, Joe Walsh, Adolfo De Unánue, Hareem Naveed, Andrea Navarrete Rivera, Sun-Joo Lee, Jason Bennett, Michael Defoe, Crystal Cody, Lauren Haynes and Rayid Ghani. 24th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2018).

Reducing Incarceration through Prioritized Interventions. Matthew J. Bauman, Kate Boxer, Tzu-Yun Lin, Erika Salomon, Hareem Naveed, Lauren Haynes, Joe Walsh, Jen Helsby, Steve Yoder, Robert Sullivan, Rayid Ghani. ACM SIGCAS Conference on Computing and Sustainable Societies, 2018.

Improving Government Response to Citizen Requests Online. Garren Gaut, Andrea Navarette, Laila Wahedi, Paul van der Boor, Adolfo de Unánue, Jorge Díaz, Eduardo Clark, Rayid Ghani. ACM SIGCAS Conference on Computing and Sustainable Societies, 2018.

Using Machine Learning to Assess the Risk of and Prevent Water Main Breaks. Avishek Kumar, Syed Ali Asad Rizvi, Benjamin Brooks, Ali Vanderveld, Kevin Hayes Wilson, Chad Kenney, Adria Finch, Andrew Maxwell, Sam Edelstein, Joe Zuckerbraun and Rayid Ghani. 24th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2018).

Artificial Intelligence for Social Good. Gregory D. Hager, Ann Drobnis, Fei Fang, Rayid Ghani, Amy Greenwald, Terah Lyons, David C. Parkes, Jason Schultz, Suchi Saria, Stephen F. Smith, and Milind Tambe. Computing Community Consortium. March 2017.

Visualizing Meta-Explanations in Early Intervention Systems for Police Departments [Poster]. Damon Crockett, Joe Walsh, Klaus Ackermann, Andrea Navarrete, Rayid Ghani. IEEE VIS 2017

Machine Learning for Social Services: A case study of prenatal case management in Illinois. Ian Pan, Laura B. Nolan, Rashida R. Brown, Romana Khan, Paul van der Boor, Daniel G. Harris, Rayid Ghani. American Journal of Public Health, 2017.

Early Intervention Systems – Predicting Adverse Interactions Between Police and the Public. Jennifer Helsby, Samuel Carton, Kenn­­eth Joseph, Ayesha Mahmud, Youngsoo Park, Andrea Navarrete, Klaus Ackermann, Joe Walsh, Lauren Haynes, Crystal Cody, Major Estella Patterson, Rayid Ghani. Criminal Justice Policy Review, 2017.

Building Better Early Intervention Systems. Crystal Cody, Estella Patterson, Kerr Putney, Jennifer Helsby, Joe Walsh, Lauren Haynes, and Rayid Ghani. Police Chief Magazine. International Association of Chiefs of Police. 2016

Detecting fraud, corruption, and collusion in international development contracts. Emily Grace, Ankit Rai, Elissa Redmiles, Rayid Ghani. 2016 IEEE International Conference on Big Data.

The Legislative Influence Detector: Finding Text Reuse in State Legislation. Burgess et al. 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2016).

Identifying Police Officers at Risk of Adverse Events. Carton et al. 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2016).

Designing Policy Recommendations to Reduce Home Abandonment in Mexico. Ackerman et al. 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2016).

Identifying Earmarks in Congressional Bills. Khabsa et al. 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2016).

Big Data and Social Science: A Practical Guide to Methods and Tools. Ian Foster, Rayid Ghani, Ron Jarmin and Frauke Kreuter, Julia Lane. Chapman and Hall/CRC Press, 2016.

Machine Learning. Rayid Ghani and Malte Schierholz. In Big Data and Social Science: A Practical Guide to Methods and Tools. Chapman and Hall/CRC Press, 2016.

A Machine Learning Framework to Identify Students at Risk of Adverse Academic Outcomes.
Himabindu Lakkaraju, Everaldo Aguiar, Carl Shan, David Miller, Nasir Bhanpuri, Rayid Ghani, Kecia Addison. Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2015)

Predictive Modeling for Public Health: Preventing Childhood Lead Poisoning.
Eric Potash, Joe Brew, Alexander Loewi, Subhabrata Majumdar, Andrew Reece, Joe Walsh, Eric Rozier, Emile Jorgenson, Raed Mansour, Rayid Ghani. Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2015)

Early Prediction of Code Blue Using Electronic Medical Records.
Sriram Somanchi, Samrachana Adhikari, Allen Lin, Elena Eneva, and Rayid Ghani. Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2015)

Who, When, and Why: A Machine Learning Approach to Prioritizing Students at Risk of not Graduating High School on Time.
Everaldo Aguiar, Himabindu Lakkaraju, Nasir Bhanpuri, David Miller, Ben Yuhas, Kecia Addison, Shihching Liu, Marilyn Powell, and Rayid Ghani. 5th International Learning Analytics and Knowledge (LAK) Conference 2015.

Early Code Blue Prediction Using Patient Medical Records.
Sriram Somanchi, Samrachana Adhikari, Allen Lin, Elena Eneva, and Rayid Ghani. Workshop on Machine Learning for Clinical Data Analysis and Healthcare – held with NIPS 2013.