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Luddy School of
Informatics, Computing, and Engineering

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Filippo Menczer

Distinguished Professor of Informatics and Computer Science

Contact Information


(812) 856-1377
Myles Brand Hall E314
https://cnets.indiana.edu/fil/

Education

  • Ph.D. in Computer Science and Cognitive Science at University of California, San Diego, 1998
  • Laurea in Physics at Sapienza University, Rome, 1990

Courses Taught at Luddy

  • INFO-I368 Introduction to Network Science

Biography

Filippo Menczer is a distinguished professor of informatics and computer science at Indiana University, Bloomington, and Director of the Observatory on Social Media. He has courtesy appointments in cognitive science and physics. He holds a Laurea in Physics from the Sapienza University of Rome and a Ph.D. in Computer Science and Cognitive Science from the University of California, San Diego. Dr. Menczer is an ACM Distinguished Scientist, a Fellow of the Center for Computer-Mediated Communication, a Senior Research Fellow of The Kinsey Institute, and a board member of the IU Network Science Institute. He previously served as division chair in the IUB School of Informatics and Computing, director of the Center for Complex Networks and Systems Research, visiting scientist at Yahoo Research, Fellow of the Institute for Scientific Interchange Foundation in Torino, Italy, and Fellow-at-large of the Santa Fe Institute. His research interests span Web and data science, computational social science, science of science, and modeling of complex information networks. In the last ten years, his lab has led efforts to study online misinformation spread and to develop tools to detect and counter social media manipulation. This work has been covered in many US and international news sources, including The New York Times, Wall Street Journal, Washington Post, NPR, PBS, CNN, BBC, Economist, Guardian, Atlantic, Reuters, Science, and Nature. Menczer received multiple service awards and currently serves as associate editor of the Network Science journal and on the editorial boards of EPJ Data Science, PeerJ Computer Science, and Harvard Misinformation Review.

Research Areas

  • Data Analytics
  • Complex Networks and Systems
  • Data Science
  • Ethics and Values in Digital Society
  • Data analytics for Graphs
  • Data Science for Applications
  • Social and Ethical Aspects of Data Science
  • Artificial Intelligence
  • Computational Journalism
  • Computational Social Science
  • Network Science
  • Science of Science
  • Web Science
  • Social Media

Centers

  • Center for Complex Networks and Systems Research
  • Indiana University Network Science Institute
  • Observatory on Social Media
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