Big Data, Data Science, and other Buzzwords that Really Matter

Data Science Webinar Series - Jan 21 - 11:30am - Room 110

January 21, 2015 11:30 AM  to 
January 21, 2015 12:30 PM
NSF Room 110

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Speaker:  Michael Franklin, UC Berkeley Computer Science

Title:  Big Data, Data Science, and other Buzzwords that Really Matter

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.

Bio:  Michael 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.   AMPLab software including: Spark, Shark, and Mesos, plays a significant role in the emerging Big Data ecosystem. The lab is funded by an NSF CISE Expeditions Award, the Darpa XData program, and 26 companies including founding sponsors Amazon Web Services, Google, and SAP.

To Join the Webinar:

Registration has closed due to the overwhelming number of people interested in attending via webinar. Due to the limitations of our web conferencing capabilities, we can not accommodate everyone. We reached capacity on 1/16/15.  Apologies for the inconvenience. 


After your registration is accepted, you will receive an email with a URL to join the meeting. Please be sure to join a few minutes before the start of the webinar. This system does not establish a voice connection on your computer; instead, your acceptance message will have a toll-free phone number that you will be prompted to call after joining. Please note that this registration is a manual process; therefore, do not expect an immediate acceptance. In the event the number of requests exceeds the capacity, some requests may have to be denied.


This event is part of Data Science.

Meeting Type

Nishal Mohan, (703) 292-2488, email:

NSF Related Organizations
Directorate for Computer and Information Science and Engineering