Janusz Szczypula has been on the Heinz School faculty since 1997. He served as Director of the Master of Information Systems Management (MISM) program from 1998 to 2003. Szczypula holds a M.S. in Computer Science from the Jagiellonian University and a M. Pub. Aff. from the University of Texas at Austin. He also earned a M.Phil. in Policy Analysis as well as a Ph.D. from Carnegie Mellon University.
In 1997 Szczypula received the Carnegie Mellon University's 1997 William W. Cooper Doctoral Dissertation Award for the best dissertation in Management and Management Science. In 2001 he has received an Outstanding Professor award from the National Society of Collegiate Scholars. The same year he received the Staff Excellence Award from the MISM program. He has also received the Heinz School’s top award for teaching excellence in 1995 and 2006.
"Idea Creation, Constructivism and Evolution: Key Characteristics in the Videogame Artifact Design Process," European Management Journal, 24(4), 2006 (with Ted Tschang).
"New Course Curricula for the 21st Century: Learning and Creating Knowledge in Virtual Settings," in Access to Knowledge: New Information Technologies and the Emergence of the Virtual University, T. Della Senta and T. Tschang (editors), Elsevier Scientific/Pergamon Press, 2001, (with Ted Tschang and Om Vikas)
"Forecasting Analogous Time Series," in Principles of Forecasting: A Handbook for Researchers and Practitioners, Scott Armstrong (editor), Kluwer Academic Publishers, 2001 (with George Duncan and Wilpen Gorr).
"Communication and Information: Alternative Uses of the Internet in Households, " Information Systems Research, 10(4), 1999 (with R. Kraut, T. Mukhopadhyay, S. Kiesler, and W. Scherlis).
"A Brief History of Balance Through Time," Journal of Mathematical Sociology, 21(1-2), 113-131, 1996, (with Patrick Doreian, Roman Kapuscinski, and David Krackhardt).
Forecasting Methods, Social Networks, and Decision Support Systems
PhD, Information and Decision Systems, Carnegie Mellon University
- Forecasting Crime
- Forecasting Analogous Time Series
- Comparative Study of Cross Sectional Methods for Time Series with Structural Changes