First Annual GA Tech Data Science for Social Good Workshop

Event Details
  • Date/Time:
    • Monday April 1, 2019 - Tuesday April 2, 2019
      9:00 am - 3:15 pm
  • Location: Technology Square Research Building (TSRB) Room 175
  • Phone:
  • URL:
  • Email:
  • Fee(s):
    N/A
  • Extras:
Contact
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Summaries

Summary Sentence: The Data Science for Social Good Workshop will focus on the application of data science techniques to problems of significant societal impact, such as healthcare, data privacy, renewable energy, and transportation.

Full Summary: No summary paragraph submitted.

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The Data Science for Social Good Workshop will focus on the application of data science techniques to problems of significant societal impact, such as healthcare, data privacy, renewable energy, and transportation. Bringing together disciplines in Computer Science, Industrial and Systems Engineering and Public Policy, it will include research domains such as algorithmic fairness, mechanism design, artificial intelligence, simulation, machine learning, and optimization. The schedule is designed for attendees to form meaningful connections, including 2-minute lightning talks as an icebreaker, and breakout sessions separated by academic stage (for mentoring) and research area (for technical discussions).

This workshop is organized by ML@GT faculty including Omar Isaac Asensio, Rachel Cummings, and Jamie Morgenstern. 

Please note that workshop attendance is by application only. Applications are now closed. 

For more information, please visit the workshop's website. 

Additional Information

In Campus Calendar
No
Groups

College of Computing, ML@GT, School of Computer Science

Invited Audience
Faculty/Staff, Postdoc, Public, Graduate students, Undergraduate students
Categories
Training/Workshop
Keywords
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Status
  • Created By: ablinder6
  • Workflow Status: Published
  • Created On: Mar 21, 2019 - 1:58pm
  • Last Updated: Mar 21, 2019 - 1:58pm