Data-Driven Urban Tech Workshop

Cornell Tech

This workshop will bring together researchers and practitioners from academia and industry to discuss challenges and advances in the field

Cornell Tech - Verizon Executive Education Center

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.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 sustainableData-Driven Urban Tech Workshop main page:<a href="https://datasciencecenter.cornell.edu/data/2023/03/20/data-driven-urban-tech-workshop/" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">https://datasciencecenter.cornell.edu/data/2023/03/20/data-driven-urban-tech-workshop/</a>Poster session information•	Deadline for submitting an abstract: April 30th•	Notification of acceptance: May 1st•	Link to submit poster abstract: <a href="https://forms.gle/bMPKCS4eP65WRx4b8" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">https://forms.gle/bMPKCS4eP65WRx4b8</a>L﻿ist of Speakers: Jacob Abernethy (Georgia Institute of Technology)Sara Bronin (Cornell University)Rachel Cummings (Columbia University)Priya Donti (Cornell 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)Milind Tambe (Harvard University)Angelique Taylor (Cornell Tech)Pascal Van Hentenryck (Georgia Institute of Technology)Ellen Vitercik (Stanford University)Manxi Wu (Cornell University)

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Data-Driven Urban Tech Workshop

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Data-Driven Urban Tech Workshop

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