Analyzing tweets and posts around Trump, Russia, and the NFL using information entropy, network analysis, and community detection algorithms.
Steve Kramer, PhD
Dr. Steve Kramer is a computational physicist and data science entrepreneur who founded Paragon Science in 2006 after earlier research work for the Air Force and years of managing teams in the software industry. Drawing from his Ph.D. in physics, Steve applied techniques from chaos theory and nonlinear dynamics to create a patented dynamic anomaly technology to find the "unknown unknowns" in multiple types of time-dependent data sets with no machine learning required. Since 2011, he has served as a reviewer and program committee member for the ACM KDD and IEEE Security and Intelligence Informatics conferences. Steve gave a joint presentation, "Got Chaos? Extracting Critical Business Intelligence from Email Using Advanced NLP and Dynamic Graph Analysis," with Matthew Russell, CTO of Digital Reasoning, at Data Day Texas 2014 and spoke on “Finding Key Influencers and Viral Topics in Twitter Networks Related to ISIS and to the 2016 Primary Elections” at Data Day Seattle 2016.