Scalable, Data Driven Analysis Session 3 of 3 (May 14, 2015)


Date: May 14, 2015

Description: May 14, 2015: Session 3 will begin with the conclusion of the algorithms content including an overview of the field of machine learning. The session will then focus on the implications of big data including privacy and ethical issues that are inherently associated with big data. The session will conclude with a discussion of smart cities and the trade-offs that should be considered in technology investment decisions.

Presenters:  John Davis and Zev Winkelman (RAND)

John Davis is an Information Scientist at the RAND Corporation where his research focuses on the impact of technology on society and includes cybersecurity, Big Data and digital privacy. Dr. Davis serves as co-director of RAND's Scalable Analytics Methods Center where he helps shape the incorporation of Big Data techniques and practices into RAND's data science activities. Dr. Davis holds four patents and has published extensively in peer-reviewed ACM/IEEE workshops and conferences. He has extensive software development and leadership experience in both industrial research and startup environments.

Zev Winkelman is a core faculty member at the Pardee RAND Graduate School and an associate information scientist at RAND specializing in big data analytics, social media, and cyber security. He has more than 15 years of experience in computer engineering and software development including a master's degree in forensic computing and counter terrorism. Zev has designed and implemented many systems that allow analysts to fuse, analyze and visualize diverse datasets across several domains including: financial data, social media and social networks, unstructured text, and geo-tagged data.