Transportation and Communities Summit 2019 (September 19 - 20, 2019 at Portland State University) This annual event at in Portland, Oregon connects national mobility-focused research to local practice through breakout panels, Lightning Talks, posters, and a keynote from urban data scientist Ben Wellington. Day two will also feature half-day workshops for those wanting a deeper dive into skill building.

Register for the Summit Day (Sept. 19) at the early bird rate of $195 (increases to $250 on July 16th). Discounts are available for students, nonprofit employees, and elected officials. Current members of our Community Partners get a $20 discount to the Summit Day. Contact us at asktrec@pdx.edu for a discount code. Registration for workshops on Sept. 20 (an additional cost) will open in June.  Let us know if you’re a student interested in volunteering.

Hosted by the Transportation Research and Education Center at Portland State University, and supported by our U.S. DOT grant-funded consortium: the National Institute for Transportation and Communities (NITC).
avatar for Ben Wellington

Ben Wellington

I Quant NY
Data Scientist and Policy Analyst
New York, NY
Ben Wellington is the creator of I Quant NY, a data science and policy blog that focuses on insights drawn from New York City's public data, and advocates for the expansion and improvement of that data.

His data analysis has influenced local government policy including changes in NYC street infrastructure, the way New Yorkers pay for cabs and the design of NYC subway vending machines, and his talk on urban data was featured on TED. He is a contributor toThe New Yorker, and is a Visiting Assistant Professor in the City & Regional Planning program at The Pratt Institute in Brooklyn. As a quantitative analyst at Two Sigma, he helped launch the firm's pro bono Data Clinic, which helps non-profits leverage their data to advance their work. Ben also leads team building and workplace training workshops for Cherub Improv, a non-profit that uses improv comedy for social good. Ben holds a Ph.D. in Computer Science (Natural Language Processing) from New York University.