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AGENDA: MEMBER WORKSHOP DATA TO INSIGHTS

MIT BIG DATA INITIATIVE at CSAIL MEMBER WORKSHOP
“DATA TO INSIGHTS”

Thursday, May 21, 2015

LOCATION: MIT Stata Center
Bldg 32 1st Floor Room 155
MIT Cambridge, Massachusetts

Abstract:
In this workshop we will look at the data driven process end-to-end, delving into different stages of the work flow, from data collection to data management to analytics to visualization, to learn about how people approached different challenges; what tools they used; to hear perspectives from different domains and applications; and to identify some emerging best practices.

During the day we will look at a series of case studies and will invite speakers to start by presenting findings and then walk us through the steps in their data pipeline process, the tools they used and tested, and the challenges they ran into at different stages.

AGENDA
Thursday, May 21, 2015

8:30am  Registration and Breakfast

9:00am Introduction
Prof. Sam Madden and Elizabeth Bruce, MIT Big Data Initiative at CSAIL co-Directors

9:15  KEYNOTE: "Real-World Data Pipelines with Apache Spark”
Prof. Matei Zaharia, MIT CSAIL

10:00  KEYNOTE: “Data Science for Social Good”
Rayid Ghani, University of Chicago Senior Fellow

10:30  BREAK

Session 1.  Case Studies – I [Smart Cities and Urban Development]

11:00-11:30 Data for Urban Development, Transportation and Developing Countries
Prof. Sarah Williams, MIT Urban Planning

11:30-12:00pm "HubCab: Big Data Approach For Taxi Sharing"
Dr. Statislav Sobolesvsky, MIT Senseable City Lab

12:00-1:00pm  LUNCH

Session 2.  Case studies – II [Healthcare and Government]

1:00-1:30pm  “Leveraging Patient Data for Predicting Healthcare-Associated Infections”
Prof. Jenna Wiens, University of Michigan

1:30-2:00pm  “Data Science on Open Government Datasets: A Case Study on Supreme Court Authorship”
William Li, PhD Student, MIT CSAIL

Session 3. Case Studies – III [In practice]

2:00-3:00pm  

"Next Generation Analytics in Telecommunications and Beyond"
Martin Spott, British Telecommunications

"Understanding 1.4 Billion Users on Facebook: Lessons Learned from the Field"
Ta Chiraphadhanakul, Facebook

"'Seeing' Neighborhood Conditions through Administrative Data"
Prof. Dan O’Brien, Northeastern University, Boston Area Research Initiative, Harvard University

3:00-3:30pm  BREAK

Session 4.  Machine Learning in Practice

3:30pm   "Regulating Greed Over Time - Describing our Entry in the Exploration-Exploitation 3 Data Mining Competition"
                Prof. Cynthia Rudin, MIT Sloan School and CSAIL

               Tutorials
              
Marzyeh Ghassemi, MIT
               Jiahao Chen, Julia Team, MIT
               Kalyan Veeramachaneni, MIT

5:00pm  Wrap Up