Analytics

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

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

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

The Lincoln Laboratory team working on a robust rerandomization technique for protecting networks from cyberattacks includes: (left to right) James Landry, David Bigelow, Hamed Okhravi, William Streilein, and Robert Rudd.

Foiling cyberattackers with rerandomization

A unique moving target technique combats information leakage attacks.

December 9, 2016

Tamara Broderick, assistant professor of electrical engineering and computer science at MIT, was a presenter at the 2016 Machine Intelligence Summit.

Meeting of the minds for machine intelligence

Industry leaders, computer scientists, and venture capitalists gather to discuss how smarter computers are remaking our world.

November 22, 2016

Research from Senseable City Lab’s HubCab project on the potential for taxi sharing shows how more than 150 million taxi trips connect the city of New York in a given year. Yellow represents taxi pickups, while blue indicates drop-offs.

A future of shared mobility

MIT and Uber team up to study the potential for shared rides and vehicles to reshape urban mobility.

November 8, 2016

Real estate innovation by the numbers

Real Estate Innovation Lab to promote the future of urban development by showing investors how it can work.

November 3, 2016

“We want to see, in the next five years or so, the amount of time you need to search for parking spot in a city drop from around 35 to 40 minutes, to less than five minutes,” says Smarking co-founder Wen Sang PhD ’14.

Optimizing parking in the busiest places

Data-analytics platform helps parking managers meet driver demand in high-traffic areas.

October 12, 2016

President L. Rafael Reif speaks at the Institute for Data, Systems, and Society (IDSS) showcase. In his remarks, Reif noted that IDSS is “a unit that can magnify individual talents through collaborations, a unit that aspires to generate groundbreaking ways to understand society’s most difficult problems and lead us to badly-needed solutions.”

How data can help change the world

At IDSS celebration, speakers explore how data can be brought to bear on global challenges.

September 26, 2016

One year on, Institute for Data, Systems, and Society looks ahead

Event and new IDSS projects will provide insights into some of society's most pressing data challenges.

September 19, 2016

Accelerometers around patients' necks capture data about the motions of their vocal folds to determine if their vocal behavior was normal or abnormal.

How machine learning can help with voice disorders

By detecting signs of vocal misuse, system from CSAIL and Mass General could eventually be used to help diagnose voice disorders.

August 29, 2016

A new course from MIT Professional Education aims to help professionals translate immense amounts of raw data into actionable insights.

New online course addresses data science challenges

“Data Science: Data to Insights” from IDSS and MIT Professional Education begins Oct. 4.

August 4, 2016

JuliaCon attendees gather in the amphitheater outside of MIT's Computer Science and Artificial Intelligence Laboratory.

JuliaCon draws global users of a dynamic, easy-to-learn programming language

Now three years old, the Julia programming language is helping to solve problems in areas such as economic modeling, spaceflight, and bioinformatics.

July 18, 2016

A new risk survey conducted by the MIT Forum for Supply Chain Innovation and Infosys Global Risk Advisory Group highlights top risk concerns from 70 companies worldwide.

MIT Forum and Infosys Risk Group release preliminary global risk survey findings

Survey indicates 92.54 percent of companies think the nature of risk is changing due to complexity in the digital economy.

June 6, 2016

MIT News | Massachusetts Institute of Technology

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