Good with data? Compete for a $10,000 prize as part of MIT's Big Data Challenge, a partnership with the City of Boston and Transportation@MIT focusing on transportation in downtown Boston.
The challenge makes available multiple data sets, including:
- taxi rides (pick ups and drop offs in downtown Boston)
- local events data
- Twitter data (all tweets in Boston area)
- weather records
...with the goal of predicting demand for taxis in downtown Boston and creating visualizations that provide new, informative or surprising ways to understand public transportation patterns in the city.
More information is available here. The deadline is Monday, January 20 at 11:59 p.m, and winners will be announced at a special event on Wednesday, February 5 (see details below).
WED FEB 5, 2014 at 5:00-7:00pm
Guest speaker: Nigel Jacob, City of Boston
Vineet Gupta, Transportation Planning Director, City of Boston
Haris Koutsopoulos, Research Associate and Professor of Transport
Carlo Ratti, Senseable City Lab, MIT
Mona Vernon, Emerging Technology, Thomson Reuters
Martin Wattenberg, Google, Cambridge Lab
The City of Boston is interested in gaining new insights into how people use all modes of transportation travel in and around the downtown Boston area. A critical imperative of Boston's Complete Streets Policy is to move all modes of transportation more efficiently and to use real-time data to facilitate better trip-planning between modes of transportation. With urban congestion on the rise, city planners are looking for ways to improve transportation such as providing people with more options to get from one place to another (walking, biking, driving, or using public transit) and by reducing and more efficiently routing vehicles in the city.
Co-sponsored by: Bigdata@CSAIL and Transportation@MIT
Challenge Partner: City of Boston
Data Partners: Creative CMT, GNIP, MBTA, Telenav, Twitter
QUESTIONS? Email email@example.com