April 3 & 4 in the HUB

People gathered near tables talking to one anotherJoin us for the inaugural 2018 UW Data Science Summit! This event will be held Tuesday, Apr. 3 and Wednesday, Apr. 4 in the Husky Union Building (HUB). A unique educational opportunity for students, faculty, staff and community members, the Summit will feature:

  • Prominent experts discussing data science
  • Tutorials, break-out sessions, working groups, a poster session, and lightning and industry talks
  • An instructional on how a department can make its own data science option
  • Prizes for best-of posters and talks
  • Networking opportunities and celebratory receptions

Preregistration is required and space is limited! Register now on EventBrite: https://www.eventbrite.com/e/uw-data-science-summit-tickets-43217951055!

Tentative event schedule

First day program, April 3

8:15 a.m. Coffee and light continental breakfast

8:45am to 9 a.m. Welcome by Bing Brunton, program chair

9am to 10 a.m. Keynote by Prof. Jevin West (Information School)

10 a.m. Coffee break

10:30 a.m. Talks by data scientists, research scientists, and UW faculty including a presentation of the UW eScience Institute

12pm to 1:30 p.m. Catered lunch

1 to 1:45 p.m. Lightning talks by postdoctoral fellows and PhD students

1:45 to 3 p.m. Poster session

3 to 3:30 p.m. Coffee and snacks

3:30 to 5 p.m. Talks by industry, non-profit and non-academic leaders in data science

5 p.m. Catered reception with posters and networking

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Second day program, April 4

8:30 a.m. Coffee and light continental breakfast

9 to 10 a.m. Welcome and keynote by Prof. Emily Fox (Paul G. Allen School of Computer Science & Engineering and Dept. of Statistics)

10 to 10:30 a.m. Coffee break

10:30 a.m. to 12:15 p.m. Talks by data scientists, research scientists, and UW faculty

12:15 to 1:30 p.m. Catered lunch

1:30 to 2 p.m. Short talks on eScience activities and programs

2 to 3:30 p.m. Tutorials, including:

  • Ariel Rokem: Deep learning
  • Anissa Tanweer and Bernease Herman: Data ethics
  • Amanda Tan, Rob Fatland and Greg Miller: Data science infrastructure: public clouds and the UW Data Center
  • Bing Brunton and Madga Balazinska: Data science education at the UW

3:30 to 4 p.m. Coffee, snacks, and goodbyes

Transportation

We recommend carpooling, biking or taking public transit (plan your bus route here). You may park your vehicle at the Central Plaza Garage, or in the bottom two levels of the Padelford Garage. *Parking Services does not guarantee space in any lot for events where attendees are paying for their own parking.* Please be advised that in Padelford the rate is $3 per hour; in the Central Plaza Garage it is $15 for the whole day.

Organizing Committee:

Bing Brunton, program chair
Magdalena Balazinska
Robin Brooks
Micaela Parker
Sarah Stone

This event is hosted by the eScience Institute, and others (full list coming soon).

Text that reads eScience Institute, advancing data-intensive discovery in all fields