Please join Tufts for an all day event to launch the Tufts Tripods institute. A tentative schedule for this event is below. You may pre-register for this event online using the link below through Friday, January 24. After January 24, pre-registration is closed but you can still register onsite day of the event at the door. Attendance is free and is open to the entire Tufts community and friends, as space in the venue allows.
Pre-Registration for Tufts Tripods Launch Event on January 31
Tufts T-Tripods Launch Event
January 31, 2020
(tentative schedule)
Morning Session:
Location: Breed Hall, 51 Winthrop Street (Medford)
8am-8:30am
Registration and Breakfast
8:30am-9am
University Welcomes: Chaired by Abani Patra, DISC Director:
- Tony Monaco, President of Tufts University
- Jianmin Qu, Dean of the School of Engineering
- Jim Glaser, Dean of the School of Arts and Sciences
- Remarks by Abani Patra, Director of DISC
9-9:15am
Lenore J. Cowen, “Welcome and Overview of the Structure of T-Tripods”
9:15-10am
Donna Slonim, Dept. of Computer Science, Tufts University and Dept. of Immunology TUSM, “Characterizing Pathway-Specific Anomalies in Temporal Patterns of Gene Expression”
10am - 10:45am
Ethics Panel Discussion, chaired by Peter Levine (Participants: Susan Landau, Peter Levine, Nick Seaver, Andrew Williams)
10:45-11am
BREAK
11am- 11:45am:
Caterina Stamoulis, Department of Medicine (Pediatrics), Harvard Medical School and Division of Adolescent Medicine, Boston Children’s Hospital , “Next-Generation Neuroscience: Studying the Brain with Big Data in Ecologically-Valid Settings “
BREAK FOR LUNCH 12-1:30pm (invited speakers lunch in TBA)
Afternoon Breakout Sessions: 1:30-5pm
- Session 0: Foundations of Data Science: Chair: Misha Kilmer:
- Session 1: Biological and Biomedical Data: Chair: Giovanni Widmer.
- Session 2: Education and Cognitive Science: Chair: Eric Miller
- Session 3: Smart Cities: Design and Development. Chair Laurie Baise
- Session 4: Computational Humanities: Language and Music. Chair: Greg Crane
- Session 5: Broadening Participation/Data Science for All. Chair: Ellise LaMotte