Organizing Committee

Building Community in the Foundations of Data Science

Brown's NSF TRIPODS grant is sponsoring a two-day informal networking workshop for the greater New England Foundations of Data Science community. In a series of informal discussions and short talks, we would like to draw attention to the opportunities to collaborate in foundational questions that lie at the focus of our TRIPODS program:

  • structure of large and complex networks
  • causal inference
  • geometry and topology of data
We invite short talks on how these or other foundational or methodological data science themes appear in ongoing research projects in your work. We will spend the afternoon of the second day engaging in brainstorming for how collaborative structures across institutions can build and strengthen data science activity in the region.

Confirmed Speakers & Participants

  • Speaker
  • Poster Presenter
  • Attendee
  • Virtual Attendee

Workshop Schedule

Monday, August 13, 2018
8:30 - 8:55am EDTRegistration - ICERM 121 South Main Street, Providence RI 0290311th Floor 121 South Main Street 
9:00 - 9:30am EDTOverview of TRIPODS@ BROWN11th Floor Lecture Hall 
9:30 - 10:15am EDTBuilding a Data Science Community through No-Boundary Thinking - Joan Peckham, University of Rhode Island11th Floor Lecture Hall
10:15 - 10:45am EDTCoffee/Tea Break11th Floor Collaborative Space 
10:45 - 11:30am EDTGlobal Analysis of Network Dynamics - Konstantin Mischaikow, Rutgers University11th Floor Lecture Hall
11:45 - 12:30pm EDTThe Mass Open Cloud - Orran Krieger, Boston University11th Floor Lecture Hall
12:30 - 2:00pm EDTBreak for Lunch - Lunch will be provided  
2:00 - 2:45pm EDTCausal Inference Methods for Studies Among Networks of People Who Use Drugs - Ashley Buchanan, University of Rhode Island11th Floor Lecture Hall
3:00 - 3:45pm EDTOpportunities and challenges for integrated analysis of genomics data resources - Andrea Foulkes, Mount Holyoke College11th Floor Lecture Hall
3:45 - 4:15pm EDTCoffee/Tea Break11th Floor Collaborative Space 
4:15 - 5:00pm EDTThe Case for t-Product Tensor Decompositions- Compression, Classification, and Analysis of Image Data - Misha Kilmer, Tufts University11th Floor Lecture Hall
5:00 - 6:30pm EDTWelcome Reception11th Floor Collaborative Space 
Tuesday, August 14, 2018
9:00 - 9:45am EDTUsing Big Data to Solve Big Social Problems - Terry-Ann Craigie- Brown University, Connecticut College11th Floor Lecture Hall
10:00 - 10:45am EDTGeneralized Estimating Equations for Social Network Data - Miles Ott, Smith College11th Floor Lecture Hall
10:45 - 11:15am EDTCoffee/Tea Break11th Floor Collaborative Space 
11:15 - 12:00pm EDTTopology and Neural Networks - J. Elisenda Grigsby, Boston College11th Floor Lecture Hall
12:00 - 2:00pm EDTBreak for Lunch - Lunch will be provided  
2:00 - 2:45pm EDTData Science and Cultural Analytics - Katie Kinnaird, Smith College11th Floor Lecture Hall 
3:00 - 3:30pm EDTCoffee/Tea Break11th Floor Collaborative Space 
3:30 - 4:15pm EDTThe Shape of Data - Don Sheehy, University of Connecticut11th Floor Lecture Hall