How hard is it to 'de-anonymize' cellphone data?
A new formula that characterizes the privacy afforded by large, aggregate data sets may be discouraging, but could help sharpen policy discussion.
Helping students master data
An undergraduate econometrics class gets students to think critically about their own research.
Accenture and MIT form alliance for advanced analytics solutions
New collaboration will develop tools and techniques focused on big data and decision science.
Companies benefit from analytics
Global study from MIT Sloan Management Review and SAS finds companies gain competitive edge by using analytics.
Sports analytics: a real game-changer
2013 MIT Sloan Sports Analytics Conference underscores how statistics keep changing the way sports are played — and changing minds in the industry.
How numbers can reveal hidden truths about sports
MIT Sloan Sports Analytics Conference brings professionals and statistics-savvy fans together to study the games people play.
Securing your eW-2 tax form
As with any personal data accessed online, there are measures that can be taken to minimize risk.
Big medical data
At the intersection of medicine and computer science, researchers look for clinically useful correlations amid mountains of information.
Cellphone data helps pinpoint source of traffic tie-ups
Study: Congestion can be alleviated throughout a metropolitan area by altering the trips of drivers in specific neighborhoods.
Department snapshot: Electrical Engineering and Computer Science
EECS places renewed emphasis on interdisciplinary research, partnerships with alumni and industry, and experiential learning.
Speeding algorithms by shrinking data
A new approach to processing ‘big data’ creates succinct representations of huge data sets, so that existing algorithms can handle them efficiently.
MIT Libraries’ research contributes to award-winning redistricting software, DistrictBuilder
Web-based resource gives citizens the opportunity to participate in the redistricting process.
MIT Auto-ID Labs launches ‘Cloud of Things’ initiative
Initiative brings together academia, industry to support the development, adoption, best practices and commercial success of big-data applications in mobile retail commerce.