MIT BIG DATA CHALLENGE MEETUP

Speaker:

Date: Tuesday, December 10, 2013

Time: 5:00 PM to 7:00 PM Note: all times are in the Eastern Time Zone

Refreshments: 5:00 PM

Public: Yes

Location: 32-G882 Hewlett Room

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Room Description:

Host: MIT Big Data Initiative at CSAIL, MIT CSAIL

Contact: Susana Kevorkova, 617-324-8424, skevorkova@csail.mit.edu

Relevant URL: http://bigdata.csail.mit.edu/node/144

Speaker URL: None

Speaker Photo:
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Reminders to: csail-related@lists.csail.mit.edu, seminars@csail.mit.edu

Reminder Subject: TALK: MIT BIG DATA CHALLENGE MEETUP

Join us at meetup for the MIT Big Data Challenge - Transportation in the City of Boston.

Come and learn more about the Challenge and meet other students passionate about using big data for good! Meet City of Boston team. This will be an excellent opportunity to connect with other students, form teams, ask questions and learn about tools.

Please register to attend: https://www.eventbrite.com/e/mit-big-data-challenge-meetup-tickets-9532175995

Pizza will be served.

About the Challenge:

MIT Big Data Challenge: Transportation in the City of Boston
http://bigdatachallenge.csail.mit.edu/

OPEN: NOV 12 2013
END: JAN 20, 2014
PRIZES: totaling $10K

The first MIT Big Data Challenge launched November 12 2013 in partnership with the City of Boston and co-sponsored by Transportation@MIT focuses on transportation in downtown Boston. The challenge will make available multiple data sets, including transportation data from more than 2.3 million taxi rides, local events, social media and weather records, with the goal of predicting demand for taxis in downtown Boston and creating visualizations that provide new ways to understand public transportation patterns in the city.

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.

This Big Data Challenge provides a unique opportunity to analyze City of Boston taxi data and combine multiple data sets including social media, transit ridership, events data and weather data to effectively predict demand and better understand patterns in taxi ridership. We hope this will result in new insights for the City of Boston and the public that will improve transportation in the city (and ability to get a cab when you need one)!

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This event is not part of a series.

Created by Susana Kevorkova at Monday, December 02, 2013 at 8:26 AM.