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NOV 13-14 2013 Annual Big Data Member Meeting

The MIT Big Data Annual Member Meeting 2013 at CSAIL -- learn about the latest Big Data research, see cool demos, meet faculty and students, and network.

View the latest agenda here:  http://bigdata.csail.mit.edu/annual2013

MICHAEL I. JORDAN TALK

VIEW TALK NOW

BIG DATA DESIGN CONTEST

MIT + Big Data T-Shirt Graphic Design Contest!!
 
hosted by: MIT Big Data Initiative at CSAIL
http://bigdata.csail.mit.edu/

Help us design a cool graphic for our new Big Data T-Shirt!   It's your chance to participate in designing the official t-shirt for
BIG DATA @ CSAIL.  Submit your t-shirt design by September 30th for a chance to win the competition and have your design become part of BIG DATA!
 
The winner:  $200 Amazon Gift Certificate

BIG DATA AND BLINKDB: A QUERY ENGINE FOR BIG DATA

BlinkDB is a new query processing system which allows one to run interactive SQL queries for tens of terabytes of data with the response time being equivalent to "blink-time".  This was the goal when CSAIL and UC Berkeley AMPLab joined together to collaborate on the BlinkDB.

Big Data and the Law: Applying NLP to Supreme Court Decisions

Big Data and the Law:  Researchers at MIT and Harvard have applied Natural Language Processing to Supreme Court decisions to determine authorship in cases where the justices have decided not to sign the opinions.

"A U.S. Supreme Court mystery drew them together: the Harvard 3L, the engineer, the Jenner & Block
associate, the Massachusetts Institute of Technology professor and a team of MIT doctoral students. The
mystery: Who actually wrote the joint dissent in last year's health care blockbuster?

MIT Big Data Initiative at CSAIL is Awarded Grant from Alfred P. Sloan Foundation

The MIT Big Data Initiative at CSAIL was awarded a grant from the Alfred P. Sloan Foundation in support of the Big Data Privacy Workshop.

JUNE 19 2013 WORKSHOP: Big Data Privacy

Big Data promises a better world.  A world where data will be used to make better decisions, from how we invest money to how we manage our healthcare to how we educate our children and manage our cities and resources.  These changes are enabled by a proliferation of new technologies and tools that have the ability to measure, monitor, record, combine and query all kinds of data about us and the world around us -- but how will that data get used and for what purpose?  Who owns the data?   How do we assure accountability for misuse? 

Big Data for the Rest of Us

Recently the news has been full of stories about the potential for `big data’ about customer behavior to revolutionize business, and personal data has been called the `new oil of the internet’.   But what about big data for the average person?  For the poor?

APRIL 4 2013 MEMBER WORKSHOP: Big Data Integration

Big Data integration -- combining multiple diverse data sets together -- is one of the key problems organizations face when working with Big Data.  The challenges of integrating data are myriad:  different data sets may come from different sources (internal and external); may have been created by different people; be structured in different ways; and contain different data types (e.g., text, images, maps, database tables, etc.)  In addition, data sets may represent different levels of temporal or spatial granularity (e.g., real time per-transaction data vs.

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