Data and Decision Analytics

Presented as part of the 2016 HCSS conference.

ABSTRACT
A gap in the practice of modern information technology has been in the evaluation of uncertainty and computational latency, and measurement of information for data analytics algorithms. As more scientific and data analysis becomes automated, verification and validation of automated algorithms will become increasingly critical. We will explore evaluating risk in algorithm performance and human interaction with these processes. In addition, we will investigate strategies for mathematically representing this performance in a wide variety of tasks, from sensor information processing to infrastructure performance analysis.

BIO
Dr. Bonneau is currently Associate Director for Command, Control, Data Analytics, and Software in the Office of the Secretary of Defense, Assistant Secretary of Defense for Research and Engineering. He also is co-chair of the White House Office of Science and Technology Policy, National Information Technology Research and Development, Large Scale Networking Interagency Working Group. Dr. Bonneau was also the Chief of the Information, Decision, and Complex Networks Division at the Air Force Office of Scientific Research, where he established the Complex Networks, and Foundations of Information Systems Programs.  He has held academic positions most recently in the Statistics Department at George Washington University, and engineering and computer science departments at Columbia University, Rensselaer Polytechnic Institute, and Temple University. Dr Bonneau has a Ph.D. in electrical engineering from Columbia University, and a Masters and Bachelors in electrical engineering from Cornell University. Dr. Bonneau has served as Associate Editor of the Springer Journal of Infrastructure Complexity, has over 85 journal and conference papers, has 1 book co-authorship, contributed to 2 book chapters, holds 3 patents, and is a Senior Member of IEEE.