BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//C2SMART Home - ECPv6.15.20//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-WR-CALNAME:C2SMART Home
X-ORIGINAL-URL:https://c2smart.engineering.nyu.edu
X-WR-CALDESC:Events for C2SMART Home
REFRESH-INTERVAL;VALUE=DURATION:PT1H
X-Robots-Tag:noindex
X-PUBLISHED-TTL:PT1H
BEGIN:VTIMEZONE
TZID:America/New_York
BEGIN:DAYLIGHT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
TZNAME:EDT
DTSTART:20230312T070000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
TZNAME:EST
DTSTART:20231105T060000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
TZNAME:EDT
DTSTART:20240310T070000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
TZNAME:EST
DTSTART:20241103T060000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
TZNAME:EDT
DTSTART:20250309T070000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
TZNAME:EST
DTSTART:20251102T060000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
TZNAME:EDT
DTSTART:20260308T070000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
TZNAME:EST
DTSTART:20261101T060000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240221T153000
DTEND;TZID=America/New_York:20240221T163000
DTSTAMP:20260418T111215
CREATED:20240131T192821Z
LAST-MODIFIED:20240215T172230Z
UID:83025-1708529400-1708533000@c2smart.engineering.nyu.edu
SUMMARY:Student Learning Hub: Fireside Chat
DESCRIPTION:Chris is a transportation planning professional with over 10 years of experience in the industry. He has led both regional and statewide transportation planning efforts\, as well as managed several sub-area and corridor studies. In his role with AirSage\, Chris advises public agency and consulting clients on how to leverage mobile device and connected vehicle data for more informed decision-making. With a diverse portfolio in developing cutting-edge decision-support tools and data-driven methodologies\, he consistently champions innovative approaches to address complex transportation challenges. Chris holds a Bachelor’s degree in Environmental Studies and Economics\, complemented by a Master’s in Urban Planning from the University of Kansas.\n\n\n\nLight refreshments will be provided! If you cannot attend in person\, join via Zoom
URL:https://c2smart.engineering.nyu.edu/event/student-learning-hub-fireside-chat/
LOCATION:C2SMART Center Viz Lab\, 6 Metrotech Center\, Room 460\, Brooklyn\, 11201
CATEGORIES:Student Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240328T120000
DTEND;TZID=America/New_York:20240328T130000
DTSTAMP:20260418T111215
CREATED:20240223T160741Z
LAST-MODIFIED:20240417T190849Z
UID:83913-1711627200-1711630800@c2smart.engineering.nyu.edu
SUMMARY:SLH: Introduction to database systems and SQL
DESCRIPTION:Instructor: Ziyue Feng\, New York University\nHands-on exercise: Yes\nBeginner level: No prior experience required.\nSchedule: Thursday\, March 28th\, 12:00 pm -1:00 pm ET\nDescription: Databases have become indispensable in our daily lives. In this one-hour session\, we’ll cover the fundamental concepts of database systems and Structured Query Language (SQL). Additionally\, we are going to have a hands-on session with SQL to help you become familiar with data extraction techniques.\nRSVP Link: Here
URL:https://c2smart.engineering.nyu.edu/event/slh-introduction-to-database-systems-and-sql/
CATEGORIES:Student Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240418T120000
DTEND;TZID=America/New_York:20240418T130000
DTSTAMP:20260418T111215
CREATED:20240223T160956Z
LAST-MODIFIED:20240417T194928Z
UID:83916-1713441600-1713445200@c2smart.engineering.nyu.edu
SUMMARY:SLH: Building Interactive Maps with JavaScript\, HTML\, and CSS
DESCRIPTION:Instructor: Hannah Bonestroo\, New York University\nHands-on exercise: Yes\nBeginner level: No prior experience required. Basic website development knowledge is preferred.\nSchedule: Thursday\, April 18th\, 12:00 pm -1:00 pm ET\nDescription: In this one-hour course\, you will learn how to create a basic interactive online map using JavaScript\, HTML\, and CSS. These essential web development tools will allow you to showcase your research findings to a wider\, non-technical audience. While this course will only cover the very basics\, we will discuss how further mastering these tools can open up a world of opportunity for data visualization.\nRSVP Link: Here
URL:https://c2smart.engineering.nyu.edu/event/slh-building-interactive-maps-with-javascript-html-and-css/
CATEGORIES:Student Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240425T120000
DTEND;TZID=America/New_York:20240425T130000
DTSTAMP:20260418T111215
CREATED:20240223T161122Z
LAST-MODIFIED:20240417T195022Z
UID:83921-1714046400-1714050000@c2smart.engineering.nyu.edu
SUMMARY:SLH: Analyzing scope and limitations of using GeoAI Toolbox available in ArcGIS Pro/Online
DESCRIPTION:Instructor: Komal Gulati\, North Carolina A&T State University\nHands-on exercise: Yes\nBeginner level: Basic GIS and AI knowledge is preferred.\nSchedule: Thursday\, April 25th\, 1:00 pm -2:00 pm ET\nDescription: Geospatial Artificial Intelligence (GeoAI) offer transformative capabilities for handling and analyzing geospatial data. This course will introduce you to the essentials of GeoAI\, including its significance and range of applications\, followed by a detailed walkthrough of the ArcGIS Pro environment and the GeoAI Toolbox. You’ll gain hands-on experience in leveraging deep learning for geospatial analysis\, from preparing training datasets to executing model inferencing\, culminating in a practical exercise aimed at detecting infrastructure vulnerable to landslides in the island of Grenada.\nRSVP Link: Here
URL:https://c2smart.engineering.nyu.edu/event/slh-analyzing-scope-and-limitations-of-using-geoai-toolbox-available-in-arcgis-pro-online/
CATEGORIES:Student Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240917T123000
DTEND;TZID=America/New_York:20240917T140000
DTSTAMP:20260418T111215
CREATED:20240828T212057Z
LAST-MODIFIED:20240828T212057Z
UID:85950-1726576200-1726581600@c2smart.engineering.nyu.edu
SUMMARY:CUE Minors Info Session
DESCRIPTION:The Civil and Urban Engineering Department is hosting a Minor Preview event on Tuesday\, September 17th from 1230-2pm. This is a great opportunity for you to learn about the minors offered in our department that are available to all of you\, no matter what your major is! \nRegistration is required\, see link below.
URL:https://c2smart.engineering.nyu.edu/event/cue-minors-info-session/
LOCATION:C2SMART Center Viz Lab\, 6 Metrotech Center\, Room 460\, Brooklyn\, 11201
CATEGORIES:Student Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20241011T130000
DTEND;TZID=America/New_York:20241011T140000
DTSTAMP:20260418T111215
CREATED:20240925T141023Z
LAST-MODIFIED:20241007T155409Z
UID:86094-1728651600-1728655200@c2smart.engineering.nyu.edu
SUMMARY:Student Learning Hub: Comprehensive Urban Data Collection Using Drones: From Licensing to Advanced Sensor Applications
DESCRIPTION:Instructor: Tu Lan & Vivaldi Rinaldi\, New York University\nBeginner level: No prior experience required.\nSchedule: Friday\, October 11\, 1:00 pm – 2:00 pm ET\nDescription: Drones are becoming an invaluable tool for urban data collection\, offering a wide range of applications from traffic monitoring to environmental analysis. This course introduces participants to the full scope of using drones for traffic data collection\, starting with the necessary FAA licensing and airspace regulations\, followed by practical guidance on drone operation and control. We’ll explore the different sensors and gimbals that can be equipped on drones\, such as cameras\, thermal imaging\, and LiDAR\, and their respective applications in collecting urban data. This session provides a comprehensive understanding of how drones can be utilized for diverse data-driven urban analyses.
URL:https://c2smart.engineering.nyu.edu/event/student-learning-hub-comprehensive-urban-data-collection-using-drones-from-licensing-to-advanced-sensor-applications/
CATEGORIES:Student Events,Webinars
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20241023T130000
DTEND;TZID=America/New_York:20241023T140000
DTSTAMP:20260418T111216
CREATED:20240923T160308Z
LAST-MODIFIED:20241011T180642Z
UID:86064-1729688400-1729692000@c2smart.engineering.nyu.edu
SUMMARY:Student Learning Hub: Where Are All the Robots\, and Why Aren't There More of Them?
DESCRIPTION:Instructor: Irving Fang\, New York University\nBeginner level: No prior experience required. \nSchedule: Wednesday\, Oct 23th\, 2024 1:00 PM – 2:00 PM\nDescription: In the talk\, we will discuss some of the latest progress in robotic applications over the last few years and the technology behind them. We will also discuss the current obstacles to an even wider spread of robots and the technical details involved.
URL:https://c2smart.engineering.nyu.edu/event/student-learning-hub-where-are-all-the-robots-and-why-arent-there-more-of-them/
CATEGORIES:Student Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20241026T093000
DTEND;TZID=America/New_York:20241026T170000
DTSTAMP:20260418T111216
CREATED:20240917T214552Z
LAST-MODIFIED:20240917T214640Z
UID:86044-1729935000-1729962000@c2smart.engineering.nyu.edu
SUMMARY:TransportationCamp NYC 2024
DESCRIPTION:TransportationCamp NYC will be held on Saturday\, October 26th at NYU’s Tandon School of Engineering in Downtown Brooklyn. Join us to discuss all things transportation and connect with professionals\, students\, and enthusiasts alike! \nTransportationCamp is an unconference – every session is planned\, proposed\, and led by attendees like you. It’s the perfect opportunity to share your transportation passion with a diverse gathering of individuals from our multidisciplinary industry. \nTransportationCamp welcomes all attendees\, whether you’re a planner\, software developer\, engineer\, student\, transportation professional\, community member\, policymaker\, or just excited about mobility!
URL:https://c2smart.engineering.nyu.edu/event/transportationcamp-nyc-2024/
LOCATION:370 Jay Street
CATEGORIES:Conferences,Student Events
ORGANIZER;CN="ITE Met Section":MAILTO:webmaster@ite-metsection.org
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20241108T100000
DTEND;TZID=America/New_York:20241108T150000
DTSTAMP:20260418T111216
CREATED:20241023T192911Z
LAST-MODIFIED:20241023T192911Z
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
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20241108T130000
DTEND;TZID=America/New_York:20241108T140000
DTSTAMP:20260418T111216
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
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20241115T130000
DTEND;TZID=America/New_York:20241115T140000
DTSTAMP:20260418T111216
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
LOCATION:
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20241205T180000
DTEND;TZID=America/New_York:20241205T200000
DTSTAMP:20260418T111216
CREATED:20241126T162421Z
LAST-MODIFIED:20241126T162421Z
UID:87136-1733421600-1733428800@c2smart.engineering.nyu.edu
SUMMARY:The Story of the BQE
DESCRIPTION:You are cordially invited to El Puente for a gathering to listen together to oral histories from elders and youth in communities across Brooklyn and Queens. Oral history facilitators Mitra Bonshahi and Adriana Gallardo will present audio excerpts from conversations between friends\, neighbors\, and family members about the impact of the BQE on their lives. Participants will be invited to share their experiences and hopes for the future of their neighborhoods. Space is limited and registration is required. This event is jointly organized by El Puente and the Institute for Public Architecture.
URL:https://c2smart.engineering.nyu.edu/event/the-story-of-the-bqe/
LOCATION:El Puente\, 211 S 4th Street\, Brooklyn\, NY\, 11211\, United States
CATEGORIES:Student Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20241211T170000
DTEND;TZID=America/New_York:20241211T200000
DTSTAMP:20260418T111216
CREATED:20241107T180809Z
LAST-MODIFIED:20241107T180809Z
UID:86430-1733936400-1733947200@c2smart.engineering.nyu.edu
SUMMARY:Ikos x C2SMARTER: The Future of Railways
DESCRIPTION:This engaging event will take place on December 11th at 5pm\, concluding with a cocktail reception\, where you can connect with industry leaders and peers. During the conference\, we’ll explore the innovations and challenges shaping the future of the railway sector. \nJoin top experts as they share insights on sustainable practices\, emerging technologies\, and what lies ahead for the industry. Seats are limited\, save yours today to be part of these forward-thinking discussions and exchange ideas with top professionals in the field.
URL:https://c2smart.engineering.nyu.edu/event/ikos-x-c2smarter-the-future-of-railways/
LOCATION:Kimmel Center\, Room 914\, 60 Washington Square South\, New York\, NY\, 10012\, United States
CATEGORIES:Student Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20250307T130000
DTEND;TZID=America/New_York:20250307T140000
DTSTAMP:20260418T111216
CREATED:20250304T190540Z
LAST-MODIFIED:20250304T190540Z
UID:87955-1741352400-1741356000@c2smart.engineering.nyu.edu
SUMMARY:SLH: Understanding Travel Demand through Passively-generated Mobile Data: a Python-based Mobility Analysis Workshop
DESCRIPTION:The ubiquity of GPS-equipped mobile devices has enabled the collection of human mobility data with high spatiotemporal granularity. Indeed\, there now exists an ecosystem of both data providers and consulting agencies centered around collecting\, processing\, and extracting insights from this type of data. Though much of the raw data cannot be made public due to privacy-preserving agreements\, the academic community can still access geographically aggregated data. This workshop will cover the (Python-based) preprocessing and wrangling of aggregated mobility data in New York state provided by SafeGraph. It will highlight concepts including (but not limited to) origin-destination matrices\, the four-step travel demand model\, self-selection bias in passively-generated data\, and demand prediction. It will also describe how to fuse such data with the American Community Survey (ACS) providing sociodemographic information at the census block group-level. Relevant packages that will be leveraged and explained include GeoPandas and scikit-Mobility. Intermediate familiarity with Python\, data structures\, and object-oriented programming is recommended.
URL:https://c2smart.engineering.nyu.edu/event/slh-understanding-travel-demand-through-passively-generated-mobile-data-a-python-based-mobility-analysis-workshop/
CATEGORIES:Student Events,Webinars
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20250312T180000
DTEND;TZID=America/New_York:20250312T190000
DTSTAMP:20260418T111216
CREATED:20250304T190125Z
LAST-MODIFIED:20250304T190352Z
UID:87951-1741802400-1741806000@c2smart.engineering.nyu.edu
SUMMARY:2025 Women in Transportation Panel & Networking
DESCRIPTION:This year’s panelists are Dr. Semiha Ergan\, Professor at NYU; Geline Canayon\, Senior Project Manager at Aimsun & Vice President of ITE MET Section; and Alia Kasem\, Senior Data Scientist at NYC DOT & Adjunct Lecturer at Hunter College. The discussion will be moderated by NYU PhD Candidate Zerun Liu.\n\n\nLight refreshments will be provided! Register for the Zoom here.
URL:https://c2smart.engineering.nyu.edu/event/2025-women-in-transportation-panel-networking/
LOCATION:C2SMART Center Viz Lab\, 6 Metrotech Center\, Room 460\, Brooklyn\, 11201
CATEGORIES:Seminars,Student Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20250314T120000
DTEND;TZID=America/New_York:20250314T130000
DTSTAMP:20260418T111216
CREATED:20250304T190838Z
LAST-MODIFIED:20250304T190838Z
UID:87959-1741953600-1741957200@c2smart.engineering.nyu.edu
SUMMARY:SLH: An Introduction to Multi-agent Driving Simulation with GPUDrive
DESCRIPTION:In this seminar\, I will introduce GPUDrive\, a high-performance\, data-driven driving simulator that operates at 1 million FPS. GPUDrive is built on the Madrona Game Engine and uses GPU acceleration to enable scalable multi-agent simulation. I will discuss how this simulator can be used to train reinforcement learning agents efficiently\, drawing from a recent paper where we demonstrate its application to the Waymo Open Motion Dataset. Additionally\, I will walk through tutorials on how to set up and use the simulator. \nThe repository can be found at https://github.com/Emerge-Lab/gpudrive/tree/main
URL:https://c2smart.engineering.nyu.edu/event/slh-an-introduction-to-multi-agent-driving-simulation-with-gpudrive/
CATEGORIES:Student Events,Webinars
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20250411T120000
DTEND;TZID=America/New_York:20250411T130000
DTSTAMP:20260418T111216
CREATED:20250304T191106Z
LAST-MODIFIED:20250304T191106Z
UID:87962-1744372800-1744376400@c2smart.engineering.nyu.edu
SUMMARY:SLH: Discrete Choice Modeling for Travel Behavior Analysis: From Multinomial Logit to More Advanced Forms
DESCRIPTION:Abstract: In this course\, we will discuss the decision theory of random utility maximization and discrete choice models (DCMs) including multinomial logit (MNL)\, nested logit (NL)\, mixed logit (MXL)\, and agent-based mixed logit (AMXL). You will learn about their applications in travel behavior analysis (e.g.\, travel mode choice\, activity scheduling choice\, etc.) and how to build DCMs with long-shape and wide-shape choice datasets in R and Python. A recent study on New York State travel mode choice will be introduced as an example.
URL:https://c2smart.engineering.nyu.edu/event/slh-discrete-choice-modeling-for-travel-behavior-analysis-from-multinomial-logit-to-more-advanced-forms/
CATEGORIES:Student Events,Webinars
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20250423T140000
DTEND;TZID=America/New_York:20250423T150000
DTSTAMP:20260418T111216
CREATED:20250304T192602Z
LAST-MODIFIED:20250304T192602Z
UID:87966-1745416800-1745420400@c2smart.engineering.nyu.edu
SUMMARY:Fireside Chat with David Hammer\, co-founder of Popwheels
DESCRIPTION:This student-moderated Fireside Chat will feature David Hammer\, co-founder of Popwheels\, a cutting-edge e-bike battery swap network. David will discuss his career trajectory\, the challenges of standing up urban-scale technology in NYC\, and more!
URL:https://c2smart.engineering.nyu.edu/event/fireside-chat-with-david-hammer-co-founder-of-popwheels/
LOCATION:C2SMART Center Viz Lab\, 6 Metrotech Center\, Room 460\, Brooklyn\, 11201
CATEGORIES:Seminars,Student Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20250701T123000
DTEND;TZID=America/New_York:20250701T133000
DTSTAMP:20260418T111216
CREATED:20250701T154822Z
LAST-MODIFIED:20250701T154850Z
UID:88960-1751373000-1751376600@c2smart.engineering.nyu.edu
SUMMARY:Summer Programs Welcome Lunch!
DESCRIPTION:
URL:https://c2smart.engineering.nyu.edu/event/summer-programs-welcome-lunch/
LOCATION:C2SMART Center Viz Lab\, 6 Metrotech Center\, Room 460\, Brooklyn\, 11201
CATEGORIES:Seminars,Student Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20250708T130000
DTEND;TZID=America/New_York:20250708T140000
DTSTAMP:20260418T111216
CREATED:20250612T172822Z
LAST-MODIFIED:20250701T154452Z
UID:88890-1751979600-1751983200@c2smart.engineering.nyu.edu
SUMMARY:Seminar: Improving the Quality of Urban Public Transport: Lessons Learned from a Novel Use of GPS Data
DESCRIPTION:In Italy\, public transport is typically operated by private companies under service contracts including penalties for non-compliance. Therefore\, detecting anomalous traffic days is key to fairly assigning delay responsibility for buses operating in mixed traffic: operators should not be penalized on days of exceptional traffic conditions. To address this\, harmonic average speeds of vehicles are used to cluster hours of the day exhibiting similar traffic patterns. For any of such traffic states\, a Generalized Additive Model is fit to the available speed percentiles in order to detect anomalous days. A case study relying on GPS data is presented for the city of Trieste.\n\nPresented by Andrea Mecchina\, PhD candidate\, University of Trieste\, Italy
URL:https://c2smart.engineering.nyu.edu/event/save-the-date-seminar-andrea-mecchina-university-of-trieste-italy/
CATEGORIES:Seminars,Student Events
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20250912
DTEND;VALUE=DATE:20250913
DTSTAMP:20260418T111216
CREATED:20250805T154439Z
LAST-MODIFIED:20250805T155935Z
UID:89046-1757635200-1757721599@c2smart.engineering.nyu.edu
SUMMARY:New York Reinforcement Learning Workshop (NYRL)
DESCRIPTION:Join leading researchers from academia and industry for the inaugural NYRL Workshop. Connect\, collaborate\, and explore the latest advances in reinforcement learning with the vibrant New York metropolitan RL community. \nCo-organized by Amazon\, Columbia Business School (CBS)\, and NYU Tandon School of Engineering.
URL:https://c2smart.engineering.nyu.edu/event/new-york-reinforcement-learning-workshop-nyrl/
CATEGORIES:Conferences,Seminars,Student Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20250925T080000
DTEND;TZID=America/New_York:20250925T180000
DTSTAMP:20260418T111216
CREATED:20250828T185213Z
LAST-MODIFIED:20250828T185213Z
UID:89201-1758787200-1758823200@c2smart.engineering.nyu.edu
SUMMARY:2025 Sustainable Cities Summit: Day 2
DESCRIPTION:We are proud to support the second annual Sustainable Cities Summit in partnership with Climate Group and NYC Climate Week. This event brings together various experts from multiple organizations to discuss climate-forward cities and mainstream climate action for a sustainable future. \nDiscover how design\, data\, and collaboration are reshaping New York’s future—and inspiring cities around the world. As part of #ClimateWeekNYC\, Sidara companies are joining forces with NYU to host a full-day summit focused on implementable solutions for healthier\, more sustainable urban living. The event feature leading experts from TYLin\, Introba\, Perkins & Will\, and Currie & Brown\, alongside thought leaders from NYU\, MIT\, C40 Cities\, the City of New York\, and the Los Angeles Cleantech Incubator.
URL:https://c2smart.engineering.nyu.edu/event/2025-sustainable-cities-summit-day-2/
LOCATION:Kimmel Center\, Room 914\, 60 Washington Square South\, New York\, NY\, 10012\, United States
CATEGORIES:Seminars,Student Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20251009T163000
DTEND;TZID=America/New_York:20251009T180000
DTSTAMP:20260418T111216
CREATED:20251008T170510Z
LAST-MODIFIED:20251008T171314Z
UID:89861-1760027400-1760032800@c2smart.engineering.nyu.edu
SUMMARY:Fall 2025 Kickoff!
DESCRIPTION:
URL:https://c2smart.engineering.nyu.edu/event/fall-2025-kickoff/
LOCATION:C2SMART Center Viz Lab\, 6 Metrotech Center\, Room 460\, Brooklyn\, 11201
CATEGORIES:Student Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20251010T080000
DTEND;TZID=America/New_York:20251010T120000
DTSTAMP:20260418T111216
CREATED:20251002T194503Z
LAST-MODIFIED:20251002T194503Z
UID:89836-1760083200-1760097600@c2smart.engineering.nyu.edu
SUMMARY:NYU Tandon and Verizon present: AI and You
DESCRIPTION:Join NYU Tandon and Verizon at an event to learn about AI and how it is involved in your everyday lives.  Speakers include: Emily Black\, Joseph Chow\, Rumi Chunara\, Emilia David\, Ashley Greenspan\, Shri Iyer\, Stacy Matlen\, Shema Mbyirukira\, Maurizio Porfiri!
URL:https://c2smart.engineering.nyu.edu/event/nyu-tandon-and-verizon-present-ai-and-you/
LOCATION:Pfizer Auditorium\, 5 MetroTech\, Brooklyn\, NY\, 11201\, United States
CATEGORIES:Seminars,Student Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20251016T180000
DTEND;TZID=America/New_York:20251016T190000
DTSTAMP:20260418T111216
CREATED:20251014T190229Z
LAST-MODIFIED:20251016T162246Z
UID:89870-1760637600-1760641200@c2smart.engineering.nyu.edu
SUMMARY:Author Talk: A Conversation with Michael M. Greenburg
DESCRIPTION:This Thursday is the NYU Press Author Talk with Mr. Michael Greenburg. The book focuses on William LeMessurier\, the structural engineer who discovered a fatal flaw in his building’s design and his decision to blow the whistle on himself. Please make sure you register for the event here if you plan to attend. \nFood & refreshments provided.
URL:https://c2smart.engineering.nyu.edu/event/author-talk-a-conversation-with-michael-m-greenburg/
LOCATION:Dibner Library\, 5 MetroTech\, Brooklyn\, NY\, 11201\, United States
CATEGORIES:Conferences,Seminars,Student Events,Webinars
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20251021T123000
DTEND;TZID=America/New_York:20251021T133000
DTSTAMP:20260418T111216
CREATED:20251008T162634Z
LAST-MODIFIED:20251008T162634Z
UID:89858-1761049800-1761053400@c2smart.engineering.nyu.edu
SUMMARY:Seminar: Self-driving Vehicles as Transit in US Settings: Complementing Buses and Trains with Demand-responsive SAVs
DESCRIPTION:ABSTRACT: Shared autonomous vehicles (SAVs) can deliver door-to-door (D2D)\, first-mile last-mile (FMLM) and dynamic ride-sharing (DRS or pooled-ride) services in many cities today. This 3-part presentation explores potential improvements in US travel and transit systems by simulating interactions between fixed-route and on-demand SAV services across the Chicago and Austin regions. The first study microsimulates SAVs providing fixed-route\, fixed-stop service alongside private automobiles. System costs for each traveler type are computed across different demand profiles\, SAV sizes (seat counts)\, and other dimensions; and smaller SAVs reduce corridor costs across most scenarios. \nThe second uses POLARIS to mesoscopically simulate D2D plus FMLM and autonomous-bus services across the 20-county Chicago region’s hundreds of train stations\, thousands of bus stops\, and millions of travelers. Assuming fares of $0.50 per passenger-mile and 1 SAV for every 40 residents\, this mode is predicted to attract 15% of person-trips and lower household vehicle ownership by 40%. Adding FMLM service raises the region’s traditional transit (bus + train) split from 5.4% to 6.3%\, with each SAV serving 12% more trip requests per day. Automating the bus system (and halving headways\, with half the seats per bus) does little to mode splits. The third study simulates a full replacement of buses with autonomous services across the 6-county Austin region. Using the region’s bus stops as pickup and drop-off points\, the transit fleet size falls by 10% or more\, thanks to coordination in trip services. Subsidizing SAV fleet managers to serve current bus demand emerges as the region’s most cost-effective and welfare-improving transit option. \nBIO: Kara Kockelman is a registered professional engineer and holds a PhD\, MS\, and BS in civil engineering\, a master’s in city planning\, and a minor in economics from the University of California at Berkeley. Dr. Kockelman has been a professor of transportation engineering at the University of Texas at Austin for 27 years\, and is Associate Site Director of the NSF Industry-University Cooperative Research Center for Efficient Vehicles and Sustainable Transportation Systems and an MIT Mobility Fellow. She has authored over 240 journal articles (and two books)\, and her primary research interests include planning for shared and autonomous vehicle systems\, the statistical modeling of urban systems\, energy and climate issues\, the economic impacts of transport policy\, and crash occurrence and consequences. Her and her students’ work can be found at www.caee.utexas.edu/prof/kockelman. They hope you will join them each year in our world’s carbon-free\, cost-free Bridging Transportation Researchers conference: https://bridgingtransport.org/.
URL:https://c2smart.engineering.nyu.edu/event/seminar-self-driving-vehicles-as-transit-in-us-settings-complementing-buses-and-trains-with-demand-responsive-savs/
CATEGORIES:Seminars,Student Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20251025T090000
DTEND;TZID=America/New_York:20251025T180000
DTSTAMP:20260418T111216
CREATED:20250910T160927Z
LAST-MODIFIED:20250918T210509Z
UID:89278-1761382800-1761415200@c2smart.engineering.nyu.edu
SUMMARY:transportationcamp 2025
DESCRIPTION:
URL:https://c2smart.engineering.nyu.edu/event/transportationcamp-2025/
CATEGORIES:Seminars,Student Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20251107T120000
DTEND;TZID=America/New_York:20251107T130000
DTSTAMP:20260418T111216
CREATED:20251016T154452Z
LAST-MODIFIED:20251016T154452Z
UID:89896-1762516800-1762520400@c2smart.engineering.nyu.edu
SUMMARY:Student Learning Hub: Introduction to Online Recommendation Systems: From Predict-Sort Architecture to Real-Time Feature Service
DESCRIPTION:This session introduces how modern online recommendation systems\, like TikTok shop\, deliver personalized content in real time. I’ll walk through the overall system architecture and then focus on the predict-sort stage\, explaining how BFS (Bytedance Feature Service) and UDA (User Data Accessor) enable large-scale feature computation using a DAG-based (Directed Acyclic Graph) operator framework and a domain-specific language (DSL). Participants will gain insight into how these components work together to achieve millisecond-level predictions. Hosted by NYU’s Hongdao Meng!
URL:https://c2smart.engineering.nyu.edu/event/student-learning-hub-introduction-to-online-recommendation-systems-from-predict-sort-architecture-to-real-time-feature-service/
CATEGORIES:Student Events,Webinars
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20251111
DTEND;VALUE=DATE:20251113
DTSTAMP:20260418T111216
CREATED:20251014T212508Z
LAST-MODIFIED:20251014T212508Z
UID:89892-1762819200-1762991999@c2smart.engineering.nyu.edu
SUMMARY:Urban Tech Summit 2025 - Adaptive Intelligence: Activating Urban AI
DESCRIPTION:Hear from leading experts on how urban tech can help cities do more with less as they deal with uncertainty and prepare for future shocks.\n\n\n\nCornell Tech’s Urban Tech Summit returns on November 11-12\, 2025\, focusing on the theme of “Adaptive Intelligence: Activating Urban AI.” Organized by the Urban Tech Hub at Cornell Tech’s Jacobs Institute\, this year’s Summit will explore quick wins and ways cities can begin to assess\, test\, and amplify innovations in artificial intelligence for rapid impact. \n\nNYU Prof. Sarah Kaufman will be featured on a panel: New York City has long been shaped by automation. Traffic signals organize the streets and telephone switches connect our boroughs. As autonomous vehicles begin piloting on city roads\, a new wave of systems is posed to transform urban life. This session will examine how NYC is navigating this shift through policy\, pilot programs\, and planning\, while also considering broader trends in urban robotics that will define the next generation of automation in cities.
URL:https://c2smart.engineering.nyu.edu/event/urban-tech-summit-2025-adaptive-intelligence-activating-urban-ai/
LOCATION:Verizon Executive Education Center\, 2 West Loop Road\, NYC\, NY\, 10044
CATEGORIES:Conferences,Student Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20251112T130000
DTEND;TZID=America/New_York:20251112T140000
DTSTAMP:20260418T111216
CREATED:20251020T153149Z
LAST-MODIFIED:20251020T153518Z
UID:89965-1762952400-1762956000@c2smart.engineering.nyu.edu
SUMMARY:Seminar: Inverse Learning and Intervention of Transportation Network Equilibrium
DESCRIPTION:Abstract:\nBy 2035\, nearly half of all new vehicles in the United States will be connected\, generating unprecedented volumes of mobility data. Leveraging emerging connected mobility data\, this talk establishes an AI-enabled inverse learning framework to transform the transportation network equilibrium modeling paradigm\, which has been the foundation of system planning and management for over seventy years. \nTraditional transportation network equilibrium models are time-consuming and costly to calibrate. This talk presents the inverse learning of user equilibrium as a novel framework for constructing nonparametric\, context-dependent network equilibrium models directly from empirical travel patterns. We compare nonparametric and parametric approaches\, mathematically clarifying the trade-offs among behavioral realism\, data availability\, and computational cost. The proposed neural-network-based nonparametric framework can automatically discover any well-posed network equilibrium model given\nsufficient data\, without relying on predefined behavioral assumptions. In contrast\, the semi-parametric approach is more computationally tractable\, as it simplifies the inverse learning problem into a sequence of convex optimizations. \nFinally\, we apply the inverse learning framework to a long-term network design problem for the city of Ann Arbor\, Michigan. Using real-world crowdsourced data\, we learned a context-dependent equilibrium model and introduce a certified\, auto-differentiation-accelerated algorithm to solve the resulting distributionally robust bi-level network design problem under contextual uncertainty. \nBio:\nDr. Zhichen Liu is an Assistant Professor in the Stony Brook University Department of Civil Engineering. Her research focuses on innovating next-generation modeling and computational tools for mobility and logistics systems\, with an emphasis on connectivity\, electrification\, and automation. She received her Ph.D. in Civil Engineering and M.S. in Industrial and Operational Engineering from the University of Michigan\, and previously served as a Visiting Scientist at General Motors. Dr. Liu is a recipient of the Rackham Predoctoral Fellowship and was honored as the sole global awardee of the prestigious Helene M. Overly Memorial Scholarship by the WTS International Foundation.
URL:https://c2smart.engineering.nyu.edu/event/89965/
LOCATION:C2SMART Center Viz Lab\, 6 Metrotech Center\, Room 460\, Brooklyn\, 11201
CATEGORIES:Seminars,Student Events,Virtual Events,Webinars
END:VEVENT
END:VCALENDAR