Research

Advancing AI Knowledge

Through experiential learning programs and sponsored research, students and faculty are empowered to deeply explore how artificial intelligence will impact the future of business. AIB is proud to partner with faculty across the University in an interdisciplinary effort to advance AI knowledge.

Call for Proposals Due April 1, 2021

Wharton and Penn faculty are invited to submit proposals that demonstrate the need for financial support and infrastructure to enhance faculty research that showcase the applications of machine learning on the business and social implications of AI. We encourage faculty to work across the University in an interdisciplinary way to advance AI knowledge. If interested in submitting a proposal, please contact analytics@wharton.upenn.edu.

Sponsored Research

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The problems and perils of algorithms in Human Resources

Prasanna Tambe, Associate Professor of Operations, Information, and Decisions

This research project conducts an empirical exploration of the relative costs and benefits of using machine learning based tools on video job application data during the hiring process.

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The Science of deep learning: Deep Reinforcement Learning

Etan A. Green, Assistant Professor of Operations, Information, and Decisions

This research project trains artificial intelligence to make optimal offers in negotiations on eBay.

Faculty Director

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Kartik Hosanagar

The Wharton School
John C. Hower Professor
Professor of Operations, Information and Decisions

Research Interests: trust in AI; impact of algorithms on consumers and society

Featured Course: OIDD 399, 699, 899: AI, Business, and Society

Affiliated Faculty

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Hamsa Bastani

The Wharton School
Assistant Professor of Operations, Information and Decisions

Research Interests: algorithmic decisions; algorithmic design; natural language processing (NLP) systems for online trafficking; meta-learning

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Ryan Dew

The Wharton School
Assistant Professor of Marketing

Research Interests: marketing applications of machine learning (ML); algorithmic decisions; machine learning (ML) for CRM and branding

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Edgar Dobriban

The Wharton School
Assistant Professor of Statistics

Research Interests: theoretical foundations of deep learning; machine learning (ML) for vulnerability identification; large-scale machine learning (ML)

Featured Course: STAT 991: Topics in Deep Learning

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Amit Gandhi

The Wharton School
Professor of Economics and Marketing

Research Interests: quantitative analytics; economics of technology; impact of technology; cloud computing service

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Michael Kearns

Penn Engineering
Professor and National Center Chair

Research Interests: machine learning; algorithmic fairness; differential privacy; algorithmic game theory; quantitative finance

Featured Course: CIS 399: Science of Data Ethics

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Steven O. Kimbrough

The Wharton School 
Professor of Operations, Information and Decisions

Penn Arts & Sciences
Professor of Philosophy

Research Interests: agent-based modeling; machine learning (ML) for constrained optimization; algorithmic decisions

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Brian Litt, MD

Perelman School of Medicine
Professor of Neurology and Professor of Bioengineering

Research Interests: computational neuroscience; deep brain stimulation; network neuroscience

Featured Center: Penn Health-Tech

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Jason H. Moore, PhD, FACMI

Perelman School of Medicine
Edward Rose Professor of Informatics
Director, Institute for Biomedical Informatics

Research Interests: Artificial intelligence; automated machine learning; biomedical data science; biomedical informatics

Featured Center: Institute for Biomedical Informatics

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Daniel Rock

The Wharton School
Assistant Professor of Operations, Information and Decisions

Research Interests: valuation of AI-related skill; impact of AI on the workforce; measurement of AI-related capital investment; machine learning in economics

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Aaron Roth

Penn Engineering
Professor of Computer and Information Science

Research Interests: algorithmic fairness; algorithmic game theory; private data analysis; algorithmic foundations of data privacy

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Weijie Su

The Wharton School
Assistant Professor of Statistics

Research Interests: deep learning (DL) for statistical estimation; privacy-preserving machine learning (ML); large-scale optimization

Featured Course: STAT 991: Optimization Methods in Machine Learning

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Prasanna Tambe

The Wharton School
Associate Professor of Operations, Information and Decisions

Research Interests: HR applications of AI & data science; impact of AI on the labor market

Featured Course: OIDD 255X: AI, Business, and Society

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Lyle Ungar

Penn Engineering
Professor of Computer and Information Science

Research Interests: explainable AI; natural language processing (NLP) methods for psychology and medical research; social media analysis; bioinformatics

Featured Course: CIS 520: Machine Learning

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Kevin Werbach

The Wharton School
Professor of Legal Studies & Business Ethics

Research Interests: AI and Blockchain; AI ethics; algorithmic accountability; impact of AI on social systems

Featured Course: LGST 242/642: Big Data, Big Responsibilities: The Law and Ethics Of Business Analytics

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Lynn Wu

The Wharton School
Associate Professor of Operations, Information and Decisions

Research Interests: impact of AI; AI-enabled innovation; data analytics for economic indicator prediction; biases in emerging technologies

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Linda Zhao

The Wharton School
Professor of Statistics

Research Interests: predictive machine learning (ML) models; network formation; predictive model with network data; bayesian methods; signal detection

Featured Program: Data Science Live, Fall 2019; Data Science Live, Spring 2019 

Featured Course: STAT471/571/701: Modern Data Mining