Ludwig, Jens

Human Decisions and Machine Predictions

Kleinberg, J., Lakkaraju, H., Leskovec, J., Ludwig, J., & Mullainathan, S. (2018) · The Quarterly Journal of Economics

Criminal Justice and Corrections AnalysisArtificial Intelligence in Law

Cited by 1,040

Neighborhoods, obesity, and diabetes—a randomized social experiment.

Ludwig, J., Sanbonmatsu, L., Gennetian, L., Adam, E., Duncan, G. J., Katz, L. F., Kessler, R. C., Kling, J. R., Lindau, S. T., Whitaker, R. C., et al. (2011) · New England Journal of Medicine

Health disparities and outcomesUrban, Neighborhood, and Segregation Studies

Cited by 964

Neighborhood Effects on the Long-Term Well-Being of Low-Income Adults

Ludwig, J., Duncan, G. J., Gennetian, L. A., Katz, L. F., Kessler, R. C., Kling, J. R., & Sanbonmatsu, L. (2012) · Science

Urban, Neighborhood, and Segregation StudiesHealth disparities and outcomes

Cited by 747

Prediction Policy Problems

Kleinberg, J., Ludwig, J., Mullainathan, S., & Obermeyer, Z. (2015) · American Economic Review

Advanced Causal Inference TechniquesEvaluation and Performance Assessment

Cited by 584

Human Decisions and Machine Predictions

Kleinberg, J., Lakkaraju, H., Leskovec, J., Ludwig, J., & Mullainathan, S. (2017) · National Bureau of Economic Research

Artificial Intelligence in LawCriminal Justice and Corrections Analysis

Cited by 545

Thinking, fast and slow? Some field experiments to reduce crime and dropout in Chicago

Heller, S. B., Shah, A. K., Guryan, J., Ludwig, J., Mullainathan, S., & Pollack, H. A. (2017) · The Quarterly Journal of Economics

Crime Patterns and InterventionsCriminal Justice and Corrections Analysis

Cited by 493

Long-Term Neighborhood Effects on Low-Income Families: Evidence from Moving to Opportunity

Ludwig, J., Duncan, G. J., Gennetian, L. A., Katz, L. F., Kessler, R. C., Kling, J. R., & Sanbonmatsu, L. (2013) · American Economic Review

Urban, Neighborhood, and Segregation StudiesHealth disparities and outcomes

Cited by 436

Discrimination in the Age of Algorithms

Kleinberg, J., Ludwig, J., Mullainathan, S., & Sunstein, C. R. (2018) · Journal of Legal Analysis

Ethics and Social Impacts of AIDiscrimination and Equality Law

Cited by 401

Neighborhood effects on crime for female and male youth: Evidence from a randomized housing voucher experiment

Kling, J. R., Ludwig, J., & Katz, L. F. (2005) · Quarterly Journal of Economics

Crime Patterns and InterventionsUrban, Neighborhood, and Segregation Studies

Cited by 311

Homicide and suicide rates associated with implementation of the Brady Handgun Violence Prevention Act

Ludwig, J. (2000) · JAMA

Gun Ownership and Violence ResearchHomicide, Infanticide, and Child Abuse

Cited by 287

Algorithmic fairness

Kleinberg, J., Ludwig, J., Mullainathan, S., & Rambachan, A. (2018) · AEA Papers and Proceedings

Ethics and Social Impacts of AIGame Theory and Voting Systems

Cited by 278

An Experimental Evaluation of a Comprehensive Employment-Oriented Prisoner Re-entry Program

Cook, P. J., Kang, S., Braga, A. A., Ludwig, J., & O’Brien, M. E. (2015) · Journal of Quantitative Criminology

Criminal Justice and Corrections AnalysisCriminal Justice and Penology

Cited by 172

Associations of Housing Mobility Interventions for Children in High-Poverty Neighborhoods With Subsequent Mental Disorders During Adolescence

Kessler, R. C., Duncan, G. J., Gennetian, L. A., Katz, L. F., Kling, J. R., Sampson, N. A., Sanbonmatsu, L., Zaslavsky, A. M., & Ludwig, J. (2014) · JAMA

Urban, Neighborhood, and Segregation StudiesHealth disparities and outcomes

Cited by 144

The Selective Labels Problem: Evaluating Algorithmic Predictions in the Presence of Unobservables

Lakkaraju, H., Kleinberg, J., Leskovec, J., Ludwig, J., & Mullainathan, S. (2017) · Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining

Advanced Causal Inference TechniquesEthics and Social Impacts of AI

Cited by 138

Thinking, fast and slow? Some field experiments to reduce crime and dropout in chicago

Heller, S., Shah, A., Guryan, J., Ludwig, J., Mullainathan, S., & Pollack, H. (2015) · National Bureau of Economic Research

Crime Patterns and InterventionsCriminal Justice and Corrections Analysis

Cited by 137

The (Surprising) Efficacy of Academic and Behavioral Intervention with Disadvantaged Youth: Results from a Randomized Experiment in Chicago

Cook, P., Dodge, K., Farkas, G., Fryer, R., Guryan, J., Ludwig, J., Mayer, S., Pollack, H., & Steinberg, L. (2014) · National Bureau of Economic Research

School Choice and PerformanceEarly Childhood Education and Development

Cited by 130

Long‐Term Effects of Head Start on Low‐Income Children

Ludwig, J., & Phillips, D. A. (2008) · Annals of the New York Academy of Sciences

Early Childhood Education and DevelopmentSchool Choice and Performance

Cited by 119

Preventing Youth Violence and Dropout: A Randomized Field Experiment

Heller, S., Pollack, H., Ander, R., & Ludwig, J. (2013) · National Bureau of Economic Research

Crime Patterns and InterventionsYouth Development and Social Support

Cited by 79

Not Too Late: Improving Academic Outcomes among Adolescents

Guryan, J., Ludwig, J., Bhatt, M. P., Cook, P. J., Davis, J. M. V., Dodge, K., Farkas, G., Fryer, R. G., Mayer, S., Pollack, H., et al. (2023) · American Economic Review

School Choice and PerformanceGlobal Educational Reforms and Inequalities

Cited by 77

Body-Worn Cameras in Policing: Benefits and Costs

Williams Jr., M., Weil, N., Rasich, E., Ludwig, J., Chang, H., & Egrari, S. (2021) · National Bureau of Economic Research

Policing Practices and PerceptionsDeception detection and forensic psychology

Cited by 57

The Economics of Scale-Up

Davis, J. M. V., Guryan, J., Hallberg, K., & Ludwig, J. (2017) · National Bureau of Economic Research

Evaluation and Performance AssessmentAdvanced Causal Inference Techniques

Cited by 47

The Effect of Mentoring on School Attendance and Academic Outcomes: A Randomized Evaluation of the Check & Connect Program

Guryan, J., Christenson, S., Cureton, A., Lai, I., Ludwig, J., Schwarz, C., Shirey, E., & Turner, M. C. (2021) · Journal of Policy Analysis and Management

Youth Substance Use and School AttendanceSchool Choice and Performance

Cited by 38

Automating Automaticity: How the Context of Human Choice Affects the Extent of Algorithmic Bias

Agan, A., Davenport, D., Ludwig, J., & Mullainathan, S. (2023) · National Bureau of Economic Research

Ethics and Social Impacts of AINames, Identity, and Discrimination Research

Cited by 25

Not Too Late: Improving Academic Outcomes Among Adolescents

Guryan, J., Ludwig, J., Bhatt, M., Cook, P., Davis, J. M. V., Dodge, K., Farkas, G., Fryer, R., Mayer, S., Pollack, H., et al. (2021) · National Bureau of Economic Research

School Choice and PerformanceGlobal Educational Reforms and Inequalities

Cited by 25