Here is the table of content:
- What is Information Theory?
- Networks and Networked Systems
- Control Theory
- Signal Processing
- Statistics and Machine Learning
- Genomics and Molecular Biology
- Theoretical Computer Science
- Economics and Finance
A Perspective on Future Research Directions in Information Theory by Jeffrey G. Andrews, Alexandros Dimakis, Lara Dolecek, Michelle Effros, Muriel Medard, Olgica Milenkovic, Andrea Montanari, Sriram Vishwanath, Edmund Yeh, Randall Berry, Ken Duffy, Soheil Feizi, Saul Kato, Manolis Kellis, Stuart Licht, Jon Sorenson, Lav Varshney, Haris Vikalo
Information theory is rapidly approaching its 70th birthday. What are promising future directions for research in information theory? Where will information theory be having the most impact in 10-20 years? What new and emerging areas are ripe for the most impact, of the sort that information theory has had on the telecommunications industry over the last 60 years? How should the IEEE Information Theory Society promote high-risk new research directions and broaden the reach of information theory, while continuing to be true to its ideals and insisting on the intellectual rigor that makes its breakthroughs so powerful? These are some of the questions that an ad hoc committee (composed of the present authors) explored over the past two years. We have discussed and debated these questions, and solicited detailed inputs from experts in fields including genomics, biology, economics, and neuroscience. This report is the result of these discussions.
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