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X-WR-CALDESC:Events for C2SMART Home
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DTSTART;TZID=America/New_York:20241108T100000
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UID:86262-1731060000-1731078000@c2smart.engineering.nyu.edu
SUMMARY:STEM Day 2024!
DESCRIPTION:
URL:https://c2smart.engineering.nyu.edu/event/stem-day-2024-2/
LOCATION:C2SMART Center Viz Lab\, 6 Metrotech Center\, Room 460\, Brooklyn\, 11201
CATEGORIES:Student Events
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DTSTART;TZID=America/New_York:20241108T130000
DTEND;TZID=America/New_York:20241108T140000
DTSTAMP:20260505T105530
CREATED:20241007T153043Z
LAST-MODIFIED:20241108T174728Z
UID:86128-1731070800-1731074400@c2smart.engineering.nyu.edu
SUMMARY:Student Learning Hub: Online Optimization Meets Urban Transportation
DESCRIPTION:Instructor: Tao Li\, New York University \nBeginner level: No prior experience required. Basic optimization knowledge would be helpful but not required. \nDescription: Urban transportation networks are complex and dynamic\, and as a result\, offline planning alone may not ensure effective real-time management. Therefore\, this course introduces online optimization methods with a focus on transportation applications. We’ll start with gradient descent in conventional convex optimization\, move to online gradient descent\, and briefly explore multi-agent online learning and associated equilibrium convergence. We’ll also discuss challenges in deploying online optimization in urban transportation.
URL:https://c2smart.engineering.nyu.edu/event/student-learning-hub-online-optimization-meets-urban-transportation/
CATEGORIES:Student Events,Webinars
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DTSTART;TZID=America/New_York:20241115T130000
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CREATED:20240912T211346Z
LAST-MODIFIED:20241114T221821Z
UID:86034-1731675600-1731679200@c2smart.engineering.nyu.edu
SUMMARY:Student Learning Hub: Causal Inference – Difference in Differences Regression and Its Application in Transportation Research
DESCRIPTION:Instructor: Yanchao Li\, New York University\nBeginner level: No prior experience required. \nSchedule: Friday\, Nov 15th\, 2024 1:00 PM – 2:00 PM\nDescription: In this course\, we will discuss the Difference-in-Differences (DiD) method\, a causal inference tool widely used across various research fields to estimate the impact of policy changes or other interventions while controlling for confounding factors. You will learn about its application in transportation research\, with a recent study evaluating the effectiveness of congestion policies as an example.
URL:https://c2smart.engineering.nyu.edu/event/slh-causal-inference-difference-in-differences-regression-and-its-application-in-transportation-research/
CATEGORIES:Student Events
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