Professor at front of room, extending his arm as he teaches a class

Information Systems



Our mission is to develop leaders who can transform the world through technology, understanding its impact on business strategy, organizational efficiency, and public policy.

Mission Statement

Our mission is to produce leaders who understand how to change the world through technology. We seek to understand the impact and implications of information and technology on business strategy, organizational efficiency, and public policy.

We embrace teaching and research that makes the world better using tools from data analysis, computer science, economics, philosophy, machine learning, and organizational behavior.

We strive to be the best in our chosen domain. Our faculty include some of the most highly cited scholars in strategy, reputation systems, and network economics.

Professor standing in front of a large classroom of students with a projector displaying a slide behind her

Our Philosophy

The Information Systems department has developed a strong presence in social networks, recommender systems, and digital platforms. Our social network research has explored who is most influential and susceptible in message propagation, and how networks shape collective intelligence.

Our platform research has found the strategies that lead to winner-take-all markets. Our work is taught worldwide. Classes in IS provide leading tools and theories in data science, technology, AI, and organizational design. Our MS in Digital Technology program trains students to bridge technical and managerial roles, a combination that is especially sought by employers.

Research Interests

  • Machine learning
  • Network effects
  • Reputation systems
  • Social networks
  • Reputation systems and online reviews
  • Business platforms and ecosystems
  • Effects of IT on labor, productivity
  • Corporate social responsibility
  • Big data
  • Computational social science
  • Artificial intelligence
  • Fair allocation
  • Fintech
  • Healthcare information systems
  • Market and mechanism design
  • Preference learning and personalization

Department Faculty

Chrysanthos Dellarocas View Profile
Chrysanthos Dellarocas

Shipley Professor in Information Systems

Paul Carlile View Profile
Paul Carlile

Senior Associate Dean, Online Learning

Professor, Information Systems

Gordon Burtch View Profile
Gordon Burtch

Allen and Kelli Questrom Professor in Information Systems

Gerdus Benade View Profile
Gerdus Benade

Assistant Professor, Information Systems

Meet All Information Systems Department Faculty