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MIT grad student Dean Knox wrote an Android app to track the location of Iraqis as they participated in a treasure-hunt activity in a mixed-sect neighborhood of Baghdad, Iraq.

Strength in numbers

PhD student Dean Knox studies social networks and how individuals use them to access government goods and services.

February 17, 2017

J-PAL North America aims to make rigorous evaluation of key questions in social policy easier for researchers with a new catalog.

Cheaper, faster randomized evaluations

J-PAL North America releases new catalog of administrative data sets to give researchers a leg up in conducting rigorous evaluations of social programs.

February 17, 2017

MIT Professor Regina Barzilay has struck up new research collaborations, drawn in MIT students, launched projects with local doctors, and begun empowering cancer treatment with the machine-learning insight that has already transformed many areas of modern life.

Putting data in the hands of doctors

Computer scientist Regina Barzilay empowers cancer treatment with machine learning.

February 16, 2017

MIT Global Entrepreneur Bootcamp alumnus Yen Pei Tay has enjoyed startup success with his Simplify app.

From MIT Global Entrepreneurship Bootcamp to boomtown

An MIT global entrepreneur launches one of the world's most innovative companies.

February 15, 2017

This map shows a city-level view of income percentage spent on lottery in New York City neighborhoods.

What can we learn from lottery spending?

“City Digits: Local Lotto” teaches Brooklyn high school students how to work with data by analyzing lottery spending patterns.

January 26, 2017

Social media icons

Making the most of social media

Jenny Fowler, manager of social media strategy in MIT’s Communications Initiatives, shares tips for those building a social media presence for their DLC or group.

January 20, 2017

A new system called Data Civilizer automatically finds connections among many different data tables and allows users to perform database-style queries across all of them. The results of the queries can then be saved as new, orderly data sets that may draw information from dozens or even thousands of different tables.

Taming data

System finds and links related data scattered across digital files, for easy querying and filtering.

January 19, 2017

MapD is a type of commonly used database-management system modified to run on GPUs instead of CPUs, which power most traditional database-management systems. MapD can process billions of data points in milliseconds, making it 100 times faster than those traditional systems, and visualizes that data near instantaneously.

Split-second data mapping

New type of database-analytics platform queries and maps billions of data points in milliseconds.

January 11, 2017

A new MIT system first creates a graph of vehicles (circles) and ride requests (stars) in a city, and then uses a method called “integer linear programming” to compute the best assignment of vehicles to trips.

How ride-sharing can improve traffic, save money, and help the environment

Study shows carpooling apps could reduce congestion by a factor of three while still serving the same number of people.

January 4, 2017

Researchers from MIT’s Computer Science and Artificial Intelligence Laboratory and its Laboratory for Information and Decision Systems have designed a new algorithm that makes it much more practical to select diverse subsets from a much larger dataset.

Data diversity

Preserving variety in subsets of unmanageably large data sets should aid machine learning.

December 16, 2016

A new technique devised by MIT researchers can take data sets with huge numbers of variables and find approximations of them with far fewer variables.

Making big data manageable

Technique shrinks data sets while preserving their fundamental mathematical relationships.

December 14, 2016

MIT spinout Benchling is bringing life science researchers a cloud-based platform that integrates different types of lab software into one place, with aims of making research and development easier, quicker, and more collaborative.

“Google Docs” for life sciences accelerates discovery

Cloud-based platform assists in managing, sharing data facilitates research.

December 7, 2016

MIT researchers have developed a new approach to training speech-recognition systems that doesn’t depend on transcription. Instead, their system analyzes correspondences between images and spoken descriptions of those images, as captured in a large collection of audio recordings.

Learning words from pictures

System correlates recorded speech with images, could lead to fully automated speech recognition.

December 6, 2016

The researchers’ neural network was fed video from 26 terabytes of video data downloaded from the photo-sharing site Flickr. Researchers found the network can interpret natural sounds in terms of image categories. For instance, the network might determine that the sound of birdsong tends to be associated with forest scenes and pictures of trees, birds, birdhouses, and bird feeders.

Computer learns to recognize sounds by watching video

Machine-learning system doesn’t require costly hand-annotated data.

December 2, 2016

The Lincoln Laboratory Supercomputing Center in Holyoke, Massachusetts, is home to the only zero-carbon emissions supercomputer on the 2016 TOP500 list of the world's most powerful supercomputers.

Lincoln Laboratory's supercomputing system ranked most powerful in New England

New Dell EMC petaflop-scale supercomputer has 6 times more processing power and 20 times more bandwidth than its predecessor.

December 1, 2016