Data science research symposium April 22

This e-mail comes from Marla Michel (marla@umass.edu), the director of strategic programs at the newly formed UMass Center for Data Science, which we expect to create considerable synergy with our own nascent Institute. Note the registration deadline of April 13th. The event takes place on the same date as our own talk from Simon Kirby, but the presentations take place in the morning, which don’t conflict with Kirby’s 3:30 time.
This is a second notice regarding the upcoming DATA SCIENCE RESEARCH SYMPOSIUM on Friday, April 22, 8:30 – 5:00, hosted by the UMass Center for Data Science in the Computer Science Building. Please share this with your centers, institutes, and colleagues.
Please register by April 13 to help us with our planning. There is no registration fee.
The theme for the day will be Collaborating for Impact.  Here is a sampling of the partner pairs who will speak about their data science challenges and collaborative research approaches:
  • Improving Manufacturing Supply Chains: Colleagues from Pratt & Whitney will share their firm’s foray into using data science, specifically complex probabilistic models, to enhance their supply chain management. CICS Professor David Jensen will co-present with PW’s Jeremy Summers or Jay Goya.
  • Big Data in Municipalities: The public sector, as represented by the municipalities, are incredibly challenged by the large quantities of data they are dealing with. Professor Henry Renski, Landscape Architecture and Regional Planning, will share some of his insights regarding opportunities for impact alongside a partner from one of the state’s largest cities.  We’re still awaiting final confirmation on the speaker.
  • Better Infrastructure Decision Making: Reflecting on a current collaboration, Massachusetts Department of Transportation’s Katie McArthur and CICS Professor Dan Sheldon will present on how data science is helping to the agency make better decisions.  This is work also involving colleagues from CNS and COE.
  • Career Pathing, Laddering and Education: There’s a real opportunity for data science to be used to help advise and predict career paths and ladders for workforce planners and people in the data science field. CICS Professor and Center Director Andrew McCallum will co-present with Burning Glass chief scientist, Dan Restuccia, on the exciting potential of what happens when you marry natural language processing research with thousands of resumes and position descriptions.
Other topics include healthIT, security and private, reinforcement learning, natural language understanding. Companies participating include Oracle, Microsoft Research, Amazon, MITRE, McKesson, MassMutual, State Street, and more.
For a complete list of pairings and current list of breakout sessions, please visit the symposium’s webpage.
NOTE: Graduate students wanting to attend must commit to preparing and sharing a poster on their research when registering here.
Questions to me.  Thank you!
Marla