Paul S. and Shirley Goodman Award

The Paul S. and Shirley Goodman award was established in 1997 by former MIS professor Dr. Seymour Goodman in honor of his parents Paul S. and Shirley Goodman.

The award is given to MIS doctoral students who excel professionally in the study of international developments in the field of computer science. Award amount varies from year to year.

Seymour (Sy) E. Goodman is professor of International Affairs and Computing at the Sam Nunn School of International Affairs and the College of Computing, Georgia Institute of Technology. He also serves as Co-Director of the Center for International Strategy, Technology, and Policy and Co-Director of the Georgia Tech Information Security Center.

Professor Goodman studies international developments in information technologies and related public policy issues. In this capacity, he has over 200 publications and served on many academic, government, and industry advisory, study, and editorial committees.

He has been the International Perspectives editor for the Communications of the ACM for the last nineteen years, and has studied computing on all seven continents in about one hundred countries.

He recently served as Chair of the Committee on Improving Cybersecurity Research in the United States, National Research Council, and as a member of the Computer Science and Telecommunications Board of the National Academies of Science and Engineering. [more]

Congratulations to the following MIS doctoral student who received this award.

Weifeng LiWeifeng Li - Fall 2016

Weifeng is a Ph.D. student at the University of Arizona Artificial Intelligence Lab. Weifeng is interested in developing data analytics driven by statistical models, particularly in the domains of Natural Language Processing, Machine Learning, and Causal Inference. During his PhD study, Weifeng has been contributing to the successful cybersecurity research program, which has benefited both government intelligence agencies and major industry partners. Particularly, Weifeng has devised novel statistical methods for identifying, collecting, and analyzing hacker underground economies from diverse geopolitical origins, including the United States, Russia, and China. Weifeng’s most recent work has focused on expanding the understanding the international hacker underground economies by developing context-aware text analytics techniques for analyzing hacker discussions in a variety of languages. For example, Weifeng has worked with a group of researchers from Tsinghua University in China to extend his hacker underground economy research to the Chinese hacker underground economy. This work allows the local government to identify emerging hacking services and hackers that become more prominent cyber threats over time. The international perspective in his research not only resulted in multiple refereed conference publications and potential journal publications but also improved the generalizability of his research program.