A person in a suit

Description automatically generated

PEDRO M. FERREIRA

HOME

 

Full Professor of Information Systems Management and Policy

School of Information Systems & Management, Heinz College

Department of Engineering and Public Policy, College of Engineering

Carnegie Mellon University (contact: pedrof@cmu.edu)

 

BIOGRAPHY    

AWARDS & GRANTS

 

 

SELECTED PUBLICATIONS

RESEARCH PROJECTS

 

 

WORK IN PROGRESS

SEMINARS & CONFERENCES

 

 

TEACHING & ADVISING

PROFESSIONAL SERVICE

 

UPDATED CV

 

AWARDS

 

A. Faculty Awards

 

2018: Information Systems Society S. Slaughter Early Career Award, INFORMS

 

2015: NOS Communications Faculty Award for work in entertainment analytics

 

2011: Time Warner Faculty Award for work on impact of broadband in education

 

B. Best Paper Awards

 

2018: Best Paper Award in the Data Science track, International Conference on Information Systems (ICIS)

Paper: "The Impact of TSTV on the Consumption of Media"

 

2017: Best Paper Award in the Economics of IS track, International Conference on Information Systems (ICIS)

Paper: "The Effect of Website Blocking on Piracy"

 

2014: Best Conference Paper Award, ASE International Conference on Social Computing (ICSC)

Paper: “The Role of Peer Influence in Churn in Wireless Networks"

 

C. Grants

 

2021: IDEA Grant, CMU, “Worldwide VoD Streaming Availability and Piracy”

 

2020: Koch Foundation, “The Value of Online Certifications”

 

2020: CMU-Portugal Grant, “Using Analytics to Improve Healthcare”

 

2020: IDEA Grant, CMU, “The Effect of GDPR on the Ability to Track Pirates”

 

2019: Block Center Grant, CMU, “Better Videos for better Education”

 

2017: IDEA Grant, CMU, “The Effect of DNS Site Blocking on Piracy Behavior”

 

2015: NSF, US, “Modeling the Economics of Search-Engine Manipulation”

 

2014: NSF, US, “Policies for Cellular Television”

 

2011: Wharton CA Initiative, “Modeling Mobile Customer Behavior with CDRs”

 

2009: CMU-Portugal Grant, “Technology Management and Policy for Telecoms”

 

2009: Portuguese NSF, “Exploring Large Scale Datasets for Churn Prediction”