The AAAS Science and Technology Policy Fellows at the National Science Foundation (NSF) have organized a new seminar series on Data Science, Big Data, and Internet of Things. The series is a monthly one-hour informational presentation that is open for all to attend in person or online.
Michael Franklin from UC Berkeley will be the inaugural speaker tomorrow, Wednesday January 21, from 11:30am to 12:30pm EST. Franklin is the Thomas M. Siebel Professor of Computer Science and Chair of the Computer Science Division of the EECS Department at UC Berkeley. He is director of the Berkeley AMPLab, a 70+ person effort fusing scalable computing, machine learning, and human computation to make sense of data at scale.
Franklin spoke as part of the Computing Research Futures Session sponsored by Computing Community Consortium (CCC) at 2014 Computing Research Association (CRA) Snowbird Conference last summer.
Abstract:
Data is all the rage across industry and across campuses. While it may be temping to dismiss the buzz as just another spin of the hype cycle, there are substantial shifts and realignments underway that are fundamentally changing how Computer Science, Statistics and virtually all subject areas will be taught, researched, and perceived as disciplines. In this talk I will give my personal perspectives on this new landscape based on experiences organizing a large, industry-engaged academic Computer Science research project (the AMPLab), in helping to establish a campus-wide Data Science research initiative (the Berkeley Institute for Data Science), and my participation on a campus task force charged with mapping out Data Science Education for all undergraduates at Berkeley.
Please register here to join the webinar by 11:59pm EST on Tuesday January 20, 2015.
For more information, see the NSF Webinar Announcement.
