May 15 – 17, 2023 @ Cornell Tech, NYC

SPONSORS
This workshop is partially funded by a NSF TRIPODS+X grant to Institute for Data, Intelligent Systems, and Computation (I-DISC) at Lehigh University, hosted by Cornell Tech and co-sponsored by the Cornell Center for Data Science for Enterprise

This workshop will bring together researchers and practitioners from academia and industry to discuss challenges and recent advances in the field. Panels and presentations will showcase how machine learning, optimization and other algorithmic tools can make cities more equitable, efficient and sustainable

Technological innovations are creating opportunities for cities to rethink the way in which they address pressing and complex challenges. These include: mitigating and adapting to climate change, which has prompted researchers to design innovative prevention tools and disaster relief measures with the goal of making cities more robust; responding to the algorithmic economy (e.g., ride-hailing, bike-sharing systems, delivery systems), which has revolutionized our interactions with each other in the city; innovations in real-time information to help users’ decision-making, including smart infrastructure that aims to create a more sustainable ecosystem (e.g., energy efficient buildings, robust communication networks, smart grids); and other developments across mobility, healthcare and, in general, public and private services, including the adoption of autonomous vehicles, computer-assisted healthcare, analytics for water management, robust supply chains, among others. These developments bring myriad new questions around security, privacy, efficiency, equity, and complexity, alongside old challenges in urban planning. This workshop will consider how machine learning and data-driven approaches can be used to improve quality of life in urban environments.

SPEAKERS

Jacob Abernethy (Georgia Institute of Technology)
Sara Bronin (Cornell University)
Rachel Cummings (Columbia University)
Vanessa Frias-Martinez (University of Maryland)
Umberto Fugiglando (Senseable City Lab, MIT)
Nikhil Garg (Cornell Tech)
Eugenia Giraudy (Meta)
Alexandre Jacquillat (Massachusetts Institute of Technology)
Cristiana Lara (Amazon)
Neal Parikh (Columbia University)
Alexander Rush (Cornell Tech)
Xiaoyan Si (Amazon)
Maria João Sousa (Cornell Tech)
Milind Tambe (Harvard University)
Angelique Taylor (Cornell Tech)
Pascal Van Hentenryck (Georgia Institute of Technology)
Ellen Vitercik (Stanford University)
Manxi Wu (Cornell University)

Data- Driven Urban Tech Workshop
REGISTRATION NOW CLOSED
Poster Sessions
Poster Session 1 – Monday, May 15, 1:15-2:45 pm
Poster Session 2 – Tuesday, May 16, 1:30 – 3:00 pm

SCHEDULE

May 15 – Monday
(breakfast on your own)

09:50-10:00am Opening remarks
10:00-10:45am Pascal Van Hentenryck (Georgia Institute of Technology) On-Demand Multimodal Transit Systems: From Concepts to Pilots
10:45-11:30am Alexandre Jacquillat (Massachusetts Institute of Technology) Design and optimization of hybrid microtransit systems
11:30-12:00pm Coffee Break
12:00-12:45pm Vanessa Frias-Martinez (University of Maryland) Data-driven decision making for resilient and equitable cities
12:45-01:15pm Sara Bronin & Alexander Rush (Cornell University) Automating Analysis of Zoning Codes for the National Zoning Atlas
01:15-02:45pm Lunch (provided) + Poster session 1
02:45-03:15pm Umberto Fugiglando (Senseable City Lab, MIT) Bits, Bricks, and People: Senseable Cities
03:15-03:45pm Rachel Cummings (Columbia University) Improving Communication with End Users and Stakeholders about Privacy Guarantees
03:45-04:00pm Coffee Break
04:00-05:30pm Company/Organization Presentations + Q&A
– BetaNYC, Kate Nicholson, Director of Programs and Partnerships Stories from the streets, making NYC open data accessible, understandable, and comfortable to sit on
– Empire State Realty Trust – Dana Robbins Schneider, Senior VP, Director of Energy, Sustainability & ESG
– Replica, Steven Turell, Chief of Staff Data and Urban Decision Making
05:30-07:30pm Reception

May 16 – Tuesday
(breakfast on your own)

10:00-10:45am Milind Tambe (Harvard University) – AI for social impact: Results from deployments for public health
10:45-11:30am Angelique Taylor (Cornell Tech) Perception and Decision-Making Systems for Human-Robot Teaming in Safety-Critical Environments
11:30-12:00pm Coffee Break
12:00-12:45pm Eugenia Giraudy (Meta) – Using big data to support humanitarian organizations during major world crises
12:45-01:30pm Cristiana Lara & Xiaoyan Si (Amazon) Re-engineering Amazon’s logistics network to optimize for speed, cost and selection
01:30-03:00pm Lunch (provided) + Poster session 2
03:00-03:45pm Manxi Wu (Cornell University) – Improving Efficiency and Equity in Tolling: A market design approach.
03:45-04:30pm Jacob Abernethy (Georgia Institute of Technology) – Machine learning and the search for lead pipes
04:30-04:45pm Coffee Break
04:45-05:45pm Neal Parikh (Columbia University) Reflections on AI in NYC government

May 17 – Wednesday
(breakfast on your own)

10:00-10:45am Maria João Sousa (Cornell Tech) Tackling Climate Change with Machine Learning
10:45-11:30am Ellen Vitercik (Stanford University) Leveraging Reviews: Learning to Price with Buyer and Seller Uncertainty
11:30-12:00pm Coffee Break
12:00-12:45pm Nikhil Garg (Cornell Tech) – Efficiency and equity design and engineering in resident crowdsourcing
12:45-02:00pm Lunch (provided)

Organizing Committee

Nikhil Garg– Asst. Professor at the Jacobs Technion-Cornell Institute, Cornell Tech

Andrea Lodi–Andrew H and Ann R. Tisch Professor at the Jacobs Technion-Cornell Institute, Cornell Tech

Michael Samuelian–Founding Director of the Jacobs Urban Tech Hub at Cornell Tech

Katya Scheinberg–Professor, Operations Research and Information Engineering, Cornell

Alfredo Torrico – Asst. Research Professor, Cornell’s Center for Data Science for Enterprise and Society