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X-ORIGINAL-URL:https://c2smart.engineering.nyu.edu
X-WR-CALDESC:Events for C2SMART Home
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BEGIN:VEVENT
DTSTART;TZID=America/New_York:20230615T150000
DTEND;TZID=America/New_York:20230615T160000
DTSTAMP:20260403T170354
CREATED:20230531T163314Z
LAST-MODIFIED:20230531T163536Z
UID:79276-1686841200-1686844800@c2smart.engineering.nyu.edu
SUMMARY:Summer Webinar Series
DESCRIPTION:Presented by the Transportation Research Board (TRB) subcommittee AEP30(2) Route Choice and Spatio-Temporal Behavior \nSpeaker: Professor Marcela A. Munizaga\, Universidad de Chile.
URL:https://c2smart.engineering.nyu.edu/event/summer-webinar-series/
LOCATION:
CATEGORIES:Big Data & Planning for Smart Cities
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20230629T120000
DTEND;TZID=America/New_York:20230629T130000
DTSTAMP:20260403T170354
CREATED:20230620T165219Z
LAST-MODIFIED:20230622T153755Z
UID:79431-1688040000-1688043600@c2smart.engineering.nyu.edu
SUMMARY:Webinar: Autonomous Vehicle Good Citizenry Standard
DESCRIPTION:Presented by:\nSarah Kaufman\, Interim Director\, NYU Rudin Center for Transportation\nJoseph Chow\, Associate Professor\, NYU\nThursday\, June 29\, 2023: 12:00pm – 1:00pm ET | Virtual \nNew York City is moving toward a more efficient\, safer\, and sustainable future that includes autonomous vehicles for transit\, e-commerce\, and medical transport. However\, autonomy often runs on incomplete or flawed foundations: training data sets might not prepare vehicles to “see” people of color; transit shuttles may operate without safety considerations for women\, frequent targets of sexual harassment on transit; delivery pods might be sharing personal data with several third parties. Although the City will regulate vehicle safety and efficacy on the street\, autonomous mobility must be evaluated under more ambitious and holistic standards. The Responsible Autonomous Mobility (RAM) Framework aims to identify partnership in several areas.
URL:https://c2smart.engineering.nyu.edu/event/webinar-autonomous-vehicle-good-citizenry-standard/
LOCATION:
CATEGORIES:Connected & Autonomous Mobility
ORGANIZER;CN="C2SMART":MAILTO:c2smart@nyu.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20230717T180000
DTEND;TZID=America/New_York:20230717T193000
DTSTAMP:20260403T170354
CREATED:20230620T170709Z
LAST-MODIFIED:20230620T170709Z
UID:79435-1689616800-1689622200@c2smart.engineering.nyu.edu
SUMMARY:Transit Techies July Meetup
DESCRIPTION:Technologists who love transit.\nTransit enthusiasts who hack!\nAt Transit Techies NYC\, speakers present transit-related projects. Presenters may be household hackers\, data scientists\, researchers\, product developers\, or you! All presentations will be technical and awesome.
URL:https://c2smart.engineering.nyu.edu/event/transit-techies-july-meetup/
LOCATION:
CATEGORIES:Connected & Autonomous Mobility
ORGANIZER;CN="C2SMART":MAILTO:c2smart@nyu.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20230725T120000
DTEND;TZID=America/New_York:20230725T130000
DTSTAMP:20260403T170354
CREATED:20230707T185854Z
LAST-MODIFIED:20230817T213550Z
UID:79467-1690286400-1690290000@c2smart.engineering.nyu.edu
SUMMARY:Webinar: Exploring Cost-effective Computer Vision Solutions for Smart Transportation Systems: Urban Work Zone Detection and Safety Analysis Using Near Miss Data
DESCRIPTION:Jingqin Gao: Assistant Director of Research\, C2SMART\, NYU; Chuan Xu: PHD Candidate\, NYU\nTuesday\, July 25\, 2023 | 12:00pm ET | Virtual\nWhile computer vision technology is widely acknowledged\, it remains underutilized for routine operations and traffic safety in complex urban environments. Our research develops a deep learning-based\, automatic data acquisition and analytics approach utilizing vision-based sensors. This approach harnesses data from existing transportation infrastructure and connected and automated vehicles (CAVs)\, illustrating how computer vision can create fresh streams of mobility and safety information for strategic planning and operations. It presents two applications: WorkZoneX\, leveraging 900+ traffic cameras in NYC for real-time urban work zone identification and size estimation\, and SAFExMAP\, a risk indicator scoring system using near-miss data from in-vehicle cameras. Findings suggest significant potential for computer vision in smart cities\, offering cost-effective solutions to improve planning\, operations and traffic safety analysis.
URL:https://c2smart.engineering.nyu.edu/event/webinar-exploring-cost-effective-computer-vision-solutions-for-smart-transportation-systems-urban-work-zone-detection-and-safety-analysis-using-near-miss-data/
LOCATION:Virtual\, 6 MetroTech Center\, Brooklyn\, NY\, 11201\, United States
ORGANIZER;CN="C2SMART":MAILTO:c2smart@nyu.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20230803T140000
DTEND;TZID=America/New_York:20230803T150000
DTSTAMP:20260403T170355
CREATED:20230627T160953Z
LAST-MODIFIED:20230627T160953Z
UID:79455-1691071200-1691074800@c2smart.engineering.nyu.edu
SUMMARY:Summer Webinar Series: A Variational Autoencoder Approach for Route Choice Set Generation
DESCRIPTION:In the context of route choice modeling\, choice set generation is a challenging task\, since the consideration set is generally unknown to the modelers\, and the full choice set cannot be enumerated in real size networks. The proposed variational autoencoder approach (VAE) is motivated by the idea that the chosen alternatives must belong to the consideration set. The VAE approach explicitly considers maximizing the likelihood of including the chosen alternatives in the choice set\, and infers the underlying generation process. The VAE approach for route choice set generation is exemplified using a real dataset. VAE-CNL model has the best performance in terms of goodness-of-fit and prediction performance\, compared to models estimated with conventionally generated choice sets. \nShlomo Bekhor is a professor in the Faculty of Civil and Environmental Engineering at the Technion – Israel Institute of Technology\, and serving as Faculty Dean since 2019. He has a BSc in Aeronautical Engineering from ITA\, Sao Jose dos Campos\, Brazil. MSc and PhD degrees in Transportation Engineering were obtained at the Technion. He teaches and conducts research in transportation planning and network equilibrium models and has special interest in route choice modeling. \nPresented by the Transportation Research Board Subcommittee AEP30(2)/AEP40 on Route Choice and Spatio-Temporal Behavior
URL:https://c2smart.engineering.nyu.edu/event/summer-webinar-series-a-variational-autoencoder-approach-for-route-choice-set-generation/
LOCATION:NY
ORGANIZER;CN="C2SMART":MAILTO:c2smart@nyu.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20230814T120000
DTEND;TZID=America/New_York:20230814T130000
DTSTAMP:20260403T170355
CREATED:20230810T200203Z
LAST-MODIFIED:20230810T200252Z
UID:79982-1692014400-1692018000@c2smart.engineering.nyu.edu
SUMMARY:Digital Twin Technologies Towards Understanding the Interactions between Transportation and other Civil Infrastructure Systems: Phase 2
DESCRIPTION:
URL:https://c2smart.engineering.nyu.edu/event/digital-twin-technologies-towards-understanding-the-interactions-between-transportation-and-other-civil-infrastructure-systems-phase-2/
LOCATION:https://nyu.zoom.us/webinar/register/WN_jQg9UllxRB26w9QmMn9OqQ
CATEGORIES:Big Data & Planning for Smart Cities,Webinars
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20230815T120000
DTEND;TZID=America/New_York:20230815T133000
DTSTAMP:20260403T170355
CREATED:20230810T201206Z
LAST-MODIFIED:20230810T201206Z
UID:79995-1692100800-1692106200@c2smart.engineering.nyu.edu
SUMMARY:The Reconstruction of Penn Station
DESCRIPTION:Please join the NYU Rudin Center for Transportation for an illuminating presentation on the reconstruction of Penn Station\, led by Jamie Torres-Springer\, President\, MTA Construction & Development. Delve into the planned transformation of this essential hub. The presentation will be followed by a conversation between Jamie Torres-Springer and Sarah Kaufman.
URL:https://c2smart.engineering.nyu.edu/event/the-reconstruction-of-penn-station/
LOCATION:NY
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20230816T120000
DTEND;TZID=America/New_York:20230816T130000
DTSTAMP:20260403T170355
CREATED:20230810T200539Z
LAST-MODIFIED:20230810T200539Z
UID:79987-1692187200-1692190800@c2smart.engineering.nyu.edu
SUMMARY:C2SMARTER RFP Requirements Webinar
DESCRIPTION:The purpose of the webinar is to inform prospective PIs and research teams on the new requirements of C2SMARTER Center projects\, answer any questions\, and provide a forum for potential team-building collaboration. The topics we will cover include: \n\nFeedback on received project abstracts and potential teaming opportunities\nProposal submission requirements\nNew USDOT reporting requirements\nProject management and tracking systems\nTimelines and schedules\nQ&A
URL:https://c2smart.engineering.nyu.edu/event/c2smarter-rfp-requirements-webinar/
LOCATION:
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20230824
DTEND;VALUE=DATE:20230825
DTSTAMP:20260403T170355
CREATED:20230824T172801Z
LAST-MODIFIED:20230824T173031Z
UID:80354-1692835200-1692921599@c2smart.engineering.nyu.edu
SUMMARY:PhD New Student Orientation
DESCRIPTION:
URL:https://c2smart.engineering.nyu.edu/event/phd-new-student-orientation/
LOCATION:C2SMART Center Viz Lab\, 6 Metrotech Center\, Room 460\, Brooklyn\, 11201
ORGANIZER;CN="C2SMART":MAILTO:c2smart@nyu.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20230901T130000
DTEND;TZID=America/New_York:20230901T140000
DTSTAMP:20260403T170355
CREATED:20230829T190602Z
LAST-MODIFIED:20230829T190602Z
UID:80497-1693573200-1693576800@c2smart.engineering.nyu.edu
SUMMARY:Highlights of Lane-Free Automated Vehicle Traffic with Nudging
DESCRIPTION:A novel paradigm (named TrafficFluid) for vehicular traffic in the era of connected and automated vehicles (CAVs) was recently proposed\, which is based on two combined principles. The first principle is lane-free traffic\, which renders the driving task for CAVs smoother and safer\, as risky lane-changing manoeuvres become obsolete; increases the capacity of the roadway due to increased road occupancy; and mitigates congestion-triggering vehicle\nmanoeuvres. Also\, lane-free CAV traffic implies that incremental road widening (narrowing) leads to corresponding incremental increase (decrease) of capacity\, and this opens the way for real-time internal boundary control on highways and arterials to flexibly share the total (both directions) road width and capacity among the two traffic directions in dependence of the bi-directional traffic conditions\, so as to maximize the total system efficiency. The second principle is vehicle nudging\, whereby vehicles may be influencing other vehicles in front of them; this allows for traffic flow to be freed from the anisotropy restriction\, which stems from the fact that human driving is influenced only by downstream vehicles. Nudging leads to improved traffic flow capacity and stability. \nAfter presenting the TrafficFluid motivation and general features\, some highlights of related work will be outlined\, such as: Nonlinear feedback control of CAV in lane-free traffic with nudging; Optimal path planning for individual vehicles and vehicle groups; Emerging macroscopic traffic flow modeling; Internal boundary control; Driving on large-scale lane-free roundabouts (Place Charles de Gaulle in Paris). See www.trafficfluid.tuc.gr
URL:https://c2smart.engineering.nyu.edu/event/highlights-of-lane-free-automated-vehicle-traffic-with-nudging/
LOCATION:Virtual\, 6 MetroTech Center\, Brooklyn\, NY\, 11201\, United States
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20230907T120000
DTEND;TZID=America/New_York:20230907T130000
DTSTAMP:20260403T170355
CREATED:20230810T200745Z
LAST-MODIFIED:20250514T173423Z
UID:79990-1694088000-1694091600@c2smart.engineering.nyu.edu
SUMMARY:NY Statewide Behavioral Impact Decision Support Tool with Replica
DESCRIPTION:One of the enduring challenges in statewide transportation planning is that consistent population travel data remains scarce. This is changing with the availability of large-scale ICT data. A one-year project was initiated to develop a behavioral impact decision support tool based on NY statewide synthetic population data provided by Replica Inc. First\, a NY statewide model choice model is developed to deterministically fit heterogeneous coefficients for trips along each census block-group OD pair\, called group-level agent-based mixed (GLAM) logit. Considerations were made for four population segments\, six trip modes\, and twelve attributes. Second\, a decision support tool for statewide mobility service region design was proposed. The tool is based on an assortment optimization problem with agent-specific coefficients and linear constraints\, which can be efficiently solved through linear or quadratic programming (depending on variant). The decision support tool is applied to optimize service regions with one of the three objectives: (1) maximizing the total revenue; (2) maximizing the total change of consumer surplus; (3) minimizing the disparity between communities. \nPresented by Xiyuan Ren; PHD Candidate\, NYU; Joseph Chow\, Associate Professor\, NYU
URL:https://c2smart.engineering.nyu.edu/event/ny-statewide-behavioral-equity-impact-decision-support-tool-with-replica/
LOCATION:NY
CATEGORIES:Webinars
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20230914T143000
DTEND;TZID=America/New_York:20230914T153000
DTSTAMP:20260403T170355
CREATED:20230912T185833Z
LAST-MODIFIED:20230912T185833Z
UID:80569-1694701800-1694705400@c2smart.engineering.nyu.edu
SUMMARY:ECE Seminar: Boundary Stabilization of Polynomial Reaction Diffusion Equations
DESCRIPTION:We show how to stabilize a polynomial reaction diffusion system using boundary control\, integration by parts\, completing the square and an infinite dimensional extension of Al’brekht’s method. \nPresented by Alfred J. Krener.
URL:https://c2smart.engineering.nyu.edu/event/ece-seminar-boundary-stabilization-of-polynomial-reaction-diffusion-equations/
LOCATION:370 Jay Street\, Room 1013\, 370 Jay Street\, Brooklyn
CATEGORIES:Student Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20230914T170000
DTEND;TZID=America/New_York:20230914T180000
DTSTAMP:20260403T170355
CREATED:20230830T201528Z
LAST-MODIFIED:20230830T201528Z
UID:80522-1694710800-1694714400@c2smart.engineering.nyu.edu
SUMMARY:Transportation & Urban Systems Fall 2023 Welcome Event
DESCRIPTION:C2SMARTER welcomes new and returning transportation students to the Fall 2023 academic year with a kick-off event. Learn about C2SMARTER\, meet the faculty\, and see the space. Come learn more about: \n\nMonthly research presentations taught by consortium members and industry partners\nPotential research opportunities\nTransportation courses offered this semester:\n\nForecasting Urban Travel Demand \nTraffic Operations & Control \nManagement of Transit Maintenance and Operations\nUrban Transportation & Logistics Systems\n\n\n\n 
URL:https://c2smart.engineering.nyu.edu/event/transportation-urban-systems-fall-2023-welcome-event/
LOCATION:C2SMART Center Viz Lab\, 6 Metrotech Center\, Room 460\, Brooklyn\, 11201
CATEGORIES:Student Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20230919T180000
DTEND;TZID=America/New_York:20230919T190000
DTSTAMP:20260403T170355
CREATED:20230915T184050Z
LAST-MODIFIED:20230918T160501Z
UID:80637-1695146400-1695150000@c2smart.engineering.nyu.edu
SUMMARY:Civil Engineering Clubs Welcome Party
DESCRIPTION:
URL:https://c2smart.engineering.nyu.edu/event/asce-event/
LOCATION:C2SMART Center Viz Lab\, 6 Metrotech Center\, Room 460\, Brooklyn\, 11201
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20230920T150000
DTEND;TZID=America/New_York:20230920T160000
DTSTAMP:20260403T170355
CREATED:20230915T170307Z
LAST-MODIFIED:20230915T183831Z
UID:80632-1695222000-1695225600@c2smart.engineering.nyu.edu
SUMMARY:Seminar: Applications of data analytics in Smart Cities: Spatio-temporal crime prediction; and Epidemic forecasting based on mobility patterns
DESCRIPTION:The steadily increasing urbanization is causing significant economic and social transformations in urban areas\, posing several challenges and raising new issues in city development\, public policy\, and resource management. However\, leveraged by a pervasive and large-scale diffusion of sensing networks in modern cities\, huge volumes of geo-referenced urban data are collected every day. Such ever-increasing volumes of urban-related data offers the opportunity to apply data analytics methodologies to discover useful descriptive and predictive models\, which can support city managers in tackling the major issues that cities face\, including\, e.g.\, urban mobility\, air pollution\, virus diffusion\, traffic flows\, crime forecasts\, etc. \nThis talk introduces how data analysis and machine learning techniques can be exploited to design and develop data-driven models as valuable support to inspire and implement smart city applications and services. Then\, it presents two real-case studies showing how data analysis methodologies can provide innovative solutions to deal with smart city issues. The first one is an approach for spatio-temporal crime forecasting\, based on multi-density clustering and auto-regressive models\, to automatically detect crime hotspots in urban areas and to reliably forecast crime trends in each hotspot. The experimental evaluation has been performed on Chicago crime data\, showing good accuracy in spatial and temporal crime forecasting over rolling time horizons. \nThe second one is an approach to discover predictive epidemic models from mobility and infection data. In particular\, the algorithm first discovers mobility hotspots and patterns. Then\, it detects how urban mobility affects the diffusion of epidemic hotspots\, by extracting a regression model for each hotspot. The experimental evaluation has been performed on mobility and COVID-19 data collected in the city of Chicago\, to assess the effectiveness of the approach in a real-world scenario. \nPresented by Eugenio Cesario\, Associate Professor\, University of Calabria \nEugenio Cesario is an Associate Professor of Computer Engineering at University of Calabria (Italy). His research interests fall in the broad areas of Data Analytics and Parallel/Distributed Data Mining\, and include Urban Computing\, Smart Cities\, Crime Data Mining\, Energy-aware Cloud Computing\, Cloud\Grid services architectures\, Knowledge Discovery applications. He is a member of the Scientific Board of the Ph.D. in ICT of the University of Calabria. He is also member of the Scalable Computing and Cloud Laboratory (DIMES-UNICAL) and co-founder of DtoK Lab s.r.l.\, a spin-off of University of Calabria.
URL:https://c2smart.engineering.nyu.edu/event/seminar-applications-of-data-analytics-in-smart-cities-spatio-temporal-crime-prediction-and-epidemic-forecasting-based-on-mobility-patterns/
LOCATION:C2SMART Center Viz Lab\, 6 Metrotech Center\, Room 460\, Brooklyn\, 11201
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20230922T090000
DTEND;TZID=America/New_York:20230922T100000
DTSTAMP:20260403T170355
CREATED:20230825T160841Z
LAST-MODIFIED:20230825T161157Z
UID:80387-1695373200-1695376800@c2smart.engineering.nyu.edu
SUMMARY:Oliver Wyman Forum\, NYC Climate Week
DESCRIPTION:C2SMARTER Director Dr. Kaan Ozbay will be serving as a panelist at the Oliver Wyman Forum during NYC Climate Week. \nAbout the Oliver Wyman foundation: \nThe Oliver Wyman Forum is Oliver Wyman’s global think tank developing solutions for public and private leaders on social issues\, climate change\, and sustainability. Our mobility program has been working for the past ten months on developing a model-based solution to support cities comply with the 1.5oC global warming target by 2030. Our model allows us to project to what extent cities should promote modal shares\, mobility uses\, or powertrains taking into consideration a set of realistic constraints like city-individual energy sourcing\, socio-economic factors and infrastructure maturity. We have worked on an initial set of 12 cities globally (including New York) to project an individual\, quantified path towards sustainable mobility.
URL:https://c2smart.engineering.nyu.edu/event/oliver-wyman-forum-nyc-climate-week/
LOCATION:1166 Avenue of the Americas\, NYC\, NY
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20230922T093000
DTEND;TZID=America/New_York:20230922T110000
DTSTAMP:20260403T170355
CREATED:20230912T190235Z
LAST-MODIFIED:20230912T190235Z
UID:80573-1695375000-1695380400@c2smart.engineering.nyu.edu
SUMMARY:Reconnecting Communities: Creating More Equitable Outcomes in Transportation Projects
DESCRIPTION:Presented by the NYU Rudin Center for Transportation and AECOMThe Infrastructure Investment and Jobs Act (IIJA) represents an unprecedented investment in our country’s transportation system. As part of this investment\, the Biden Administration is seeking not only to build more roads and bridges\, but to address the harmful impacts of past transportation projects\, which have disproportionately fallen on low income communities and communities of color. For neighborhoods around the country that remain divided or isolated by transportation infrastructure\, this investment is a once-in-a-generation opportunity for reconnection. This panel discussion\, co-hosted by AECOM\, will address: How might we best reconnect communities? What does reconnection involve\, and how can we ensure future projects mitigate any further disruption and displacement? Join us for a discussion of ongoing developments and how agencies and stakeholders can best seize this opportunity to create more equitable outcomes. Panelists: Ritchie Torres\, United States Representative (NY-15) Meera Joshi\, New York City Deputy Mayor for Operations Tom Prendergast\, Executive Vice President & New York Metro Chief Executive\, AECOM Moderator: Sarah Kaufman\, Director\, NYU Rudin Center for Transportation.
URL:https://c2smart.engineering.nyu.edu/event/reconnecting-communities-creating-more-equitable-outcomes-in-transportation-projects/
LOCATION:NYU Wagner\, 295 Lafayette Street
CATEGORIES:Equity & Accessibility
ORGANIZER;CN="Rudin Center for Transportation Policy and Management":MAILTO:rudin.center@nyu.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20230922T113000
DTEND;TZID=America/New_York:20230922T123000
DTSTAMP:20260403T170355
CREATED:20230912T184858Z
LAST-MODIFIED:20230912T185245Z
UID:80560-1695382200-1695385800@c2smart.engineering.nyu.edu
SUMMARY:Reducing US Transit Costs: An Empirical Review and Comparative Case Study of Portland\, Manchester Rail Systems
DESCRIPTION:Presented by Chetan Sharma and Prof. Joseph Chow
URL:https://c2smart.engineering.nyu.edu/event/reducing-us-transit-costs-an-empirical-review-and-comparative-case-study-of-portland-manchester-rail-systems/
LOCATION:NY
CATEGORIES:Webinars
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20230928T120000
DTEND;TZID=America/New_York:20230928T130000
DTSTAMP:20260403T170355
CREATED:20230912T185155Z
LAST-MODIFIED:20230912T192021Z
UID:80564-1695902400-1695906000@c2smart.engineering.nyu.edu
SUMMARY:Developing a Framework to Optimize Floodnet Sensor Deployments Around NYC for Equitable and Impact-Based Hyper-Local Street-Level Flood Monitoring and Data Collection
DESCRIPTION:Urban floods can lead to significant damages\, and accurately measuring flood extents and depths is vital for effective management. Traditional flood measurement methods can be costly and may not provide detailed mapping. Recent advancements in affordable flood-monitoring sensors offer real-time measurements\, but there’s a challenge in prioritizing where to place them\, especially when considering equity and the needs of various stakeholders. This research introduced a framework that uses expert input to determine potential uses for these sensors and metrics to decide where to deploy them. The method was tested in New York City and was found to be more effective than basic prioritization methods\, ensuring stakeholder needs and equity concerns were met. This framework can help local governments prioritize sensor locations for better flood management\, promoting resilient and equitable cities. Future studies can adapt and test this approach in different urban settings. \nPresented by NYU’s Riccardo Negri and Prof. Luis Ceferino
URL:https://c2smart.engineering.nyu.edu/event/developing-a-framework-to-optimize-floodnet-sensor-deployments-around-nyc-for-equitable-and-impact-based-hyper-local-street-level-flood-monitoring-and-data-collection/
LOCATION:NY
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20231003T180000
DTEND;TZID=America/New_York:20231003T193000
DTSTAMP:20260403T170355
CREATED:20230918T142847Z
LAST-MODIFIED:20230918T142847Z
UID:80639-1696356000-1696361400@c2smart.engineering.nyu.edu
SUMMARY:Transportation Jeopardy! NYU ITE vs. Northeastern
DESCRIPTION:Think you know everything there is to know about traffic and transit? Put your knowledge to the test in this friendly competition between NYU’s chapter of ITE and Northeastern University’s chapter of ITE. Come prepared with bits of transportation trivia and be ready to buzz in when you know the answer!
URL:https://c2smart.engineering.nyu.edu/event/transportation-jeopardy-nyu-ite-vs-northeastern/
LOCATION:C2SMART Center Viz Lab\, 6 Metrotech Center\, Room 460\, Brooklyn\, 11201
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20231012T100000
DTEND;TZID=America/New_York:20231012T110000
DTSTAMP:20260403T170355
CREATED:20231003T162816Z
LAST-MODIFIED:20231010T183753Z
UID:80704-1697104800-1697108400@c2smart.engineering.nyu.edu
SUMMARY:Project Mjolnir : The Journey of Designing an Open Source Adaptive Mountain Bike
DESCRIPTION:Presented by NYU Shanghai’s Noel Joyce
URL:https://c2smart.engineering.nyu.edu/event/project-mjolnir-the-journey-of-designing-an-open-source-adaptive-mountain-bike/
LOCATION:NY
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20231012T140000
DTEND;TZID=America/New_York:20231012T150000
DTSTAMP:20260403T170355
CREATED:20231010T181332Z
LAST-MODIFIED:20231012T155037Z
UID:80831-1697119200-1697122800@c2smart.engineering.nyu.edu
SUMMARY:Biweekly Coffee and Tea Break
DESCRIPTION:Come stop by the Data Viz Lab for some light refreshments!
URL:https://c2smart.engineering.nyu.edu/event/thursday-coffee-and-tea/
LOCATION:C2SMART Center Viz Lab\, 6 Metrotech Center\, Room 460\, Brooklyn\, 11201
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20231013T103000
DTEND;TZID=America/New_York:20231013T110000
DTSTAMP:20260403T170355
CREATED:20231010T181900Z
LAST-MODIFIED:20231010T181900Z
UID:80834-1697193000-1697194800@c2smart.engineering.nyu.edu
SUMMARY:CUE PhD Biweekly Friday Seminar
DESCRIPTION:Updated Quantifying and Visualizing City Truck Route Network Efficiency Using a Virtual Testbed \nPresented by Haggai Davis\, III
URL:https://c2smart.engineering.nyu.edu/event/cue-phd-biweekly-friday-seminar/
LOCATION:NY
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20231013T113000
DTEND;TZID=America/New_York:20231013T123000
DTSTAMP:20260403T170355
CREATED:20230927T162550Z
LAST-MODIFIED:20231003T191652Z
UID:80684-1697196600-1697200200@c2smart.engineering.nyu.edu
SUMMARY:Student Learning Hub: Introduction to Neural Networks (NNs): How and When to Use Recurrent NNs and Convolution NNs
DESCRIPTION:Instructor: Haggai D. Davis\, III\, New York University\nHands-on exercise: Yes\nBeginner level: No prior experience required.\nSchedule: Friday Oct 13th\, 11:30am-12:30pm\nDescription: Machine learning is an incredibly broad term that encompasses a lot of different algorithms which can be applied to solve a variety of problems.  Neural networks are one category of ML algorithms which consist of layers of nodes (or neurons) which will activate to transmit information when certain thresholds are met. RNNs and CNNs are subclasses of neural networks whose differing structures allow for the analysis of different types of datasets\, usually things like time-series and pattern-recognition\, respectively.\n\n 
URL:https://c2smart.engineering.nyu.edu/event/student-learning-hub-introduction-to-neural-networks-nns-how-and-when-to-use-recurrent-nns-and-convolution-nns/
LOCATION:NY
CATEGORIES:Student Events
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20231014
DTEND;VALUE=DATE:20231015
DTSTAMP:20260403T170355
CREATED:20230825T160532Z
LAST-MODIFIED:20230912T191705Z
UID:80383-1697241600-1697327999@c2smart.engineering.nyu.edu
SUMMARY:TransportationCamp 2023
DESCRIPTION:TransportationCamp brings together thinkers and doers in transportation and technology. It’s not a traditional conference.  \nThe core of TransportationCamp consists of presentations\, discussions\, and activities led and planned by attendees themselves. TransportationCamp will convene in-person for the ninth consecutive year of events. \nThis year’s event will be at NYU’s Tandon School of Engineering on October 14\, 2023.
URL:https://c2smart.engineering.nyu.edu/event/transportationcamp-2023/
LOCATION:370 Jay Street
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20231014T123000
DTEND;TZID=America/New_York:20231014T133000
DTSTAMP:20260403T170355
CREATED:20231003T195643Z
LAST-MODIFIED:20231003T211736Z
UID:80715-1697286600-1697290200@c2smart.engineering.nyu.edu
SUMMARY:ITE MET Section Student Mixer
DESCRIPTION:During the lunchtime portion of TransportationCamp\, members of the ITE Met Section student chapters can meet and chat! This will be a great opportunity to get to know interesting and like-minded people from Cooper Union\, NYU\, Manhattan College\, NJIT and TCNJ. \n 
URL:https://c2smart.engineering.nyu.edu/event/ite-met-section-student-mixer/
LOCATION:370 Jay Street
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20231017T160000
DTEND;TZID=America/New_York:20231017T170000
DTSTAMP:20260403T170355
CREATED:20231004T211201Z
LAST-MODIFIED:20231004T211201Z
UID:80730-1697558400-1697562000@c2smart.engineering.nyu.edu
SUMMARY:Women in Transportation Seminar: Elaine Du\, AKRF
DESCRIPTION:
URL:https://c2smart.engineering.nyu.edu/event/women-in-transportation-seminar-elaine-du-akrf/
LOCATION:C2SMART Center Viz Lab\, 6 Metrotech Center\, Room 460\, Brooklyn\, 11201
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20231018T160000
DTEND;TZID=America/New_York:20231018T180000
DTSTAMP:20260403T170355
CREATED:20231016T155536Z
LAST-MODIFIED:20231016T155536Z
UID:80849-1697644800-1697652000@c2smart.engineering.nyu.edu
SUMMARY:Let’s Talk About Infrastructure as Symbols that Construct Values and Behaviors
DESCRIPTION:Penalosa Lets Talk Infrastructure CMAA
URL:https://c2smart.engineering.nyu.edu/event/lets-talk-about-infrastructure-as-symbols-that-construct-values-and-behaviors/
LOCATION:C2SMART Center Viz Lab\, 6 Metrotech Center\, Room 460\, Brooklyn\, 11201
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20231020T120000
DTEND;TZID=America/New_York:20231020T130000
DTSTAMP:20260403T170355
CREATED:20230927T162721Z
LAST-MODIFIED:20231003T194908Z
UID:80686-1697803200-1697806800@c2smart.engineering.nyu.edu
SUMMARY:Student Learning Hub: Contextualising Cloud-based Geospatial Analytics Techniques
DESCRIPTION:Instructor: Vidisha Chowdhury\, University of Pennsylvania & Philippe Schicker\, Carnegie Mellon University\nHands-on exercise: Yes\nBeginner level: No prior experience required.\nSchedule: Friday October 20th\, 12-1 pm\n\nDescription: Google Earth Engine (GEE) and other cloud-based geospatial analysis platforms can be powerful tools for data scientists and researchers to analyze vast amounts of satellite imagery and geospatial data. In this one-hour introductory course\, we are going to provide you with a basic understanding of GEE\, contrast it to traditional geospatial techniques\, and highlight how GEE can be used for applications such as environmental monitoring\, land cover classification\, and more.
URL:https://c2smart.engineering.nyu.edu/event/student-learning-hub-contextualising-cloud-based-geospatial-analytics-techniques/
LOCATION:NY
CATEGORIES:Student Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20231023T190000
DTEND;TZID=America/New_York:20231023T200000
DTSTAMP:20260403T170355
CREATED:20231004T190719Z
LAST-MODIFIED:20231004T190719Z
UID:80723-1698087600-1698091200@c2smart.engineering.nyu.edu
SUMMARY:Building Your Career in Transportation Planning & Engineering
DESCRIPTION:Working in transportation engineering and planning means having a direct impact on the safety\, livability\, efficiency\, and equity of communities—and there are many ways to build a meaningful career in this profession. You could work for a public agency\, representing a specific community. You could serve as a consultant in the private sector and work with a variety of clients and projects across the country. Or\, you could dedicate your career to researching the ways our communities will move in the future\, and educating the next generation of transportation professionals. \nHow do you know which career path is right for you? \nJoin us to learn about the career options that exist in the transportation profession\, and why we’re so passionate about this work! Jane Lim-Yap\, Brian Bustos\, Sam Liu\, Jacki Smith\, and Kittelson CEO Brandon Nevers will describe how transportation planners and engineers impact communities\, give an overview of the differences between working in the private and public sectors of the profession\, and share their advice for finding a job or internship that aligns with your values and purpose. \nAfter a brief presentation\, the discussion will be built around what’s on your mind as you evaluate career options\, so please come with questions!
URL:https://c2smart.engineering.nyu.edu/event/building-your-career-in-transportation-planning-engineering/
LOCATION:NY
END:VEVENT
END:VCALENDAR