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DTSTART;TZID=America/New_York:20221102T160000
DTEND;TZID=America/New_York:20221102T170000
DTSTAMP:20260503T030340
CREATED:20221021T130927Z
LAST-MODIFIED:20221031T165604Z
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SUMMARY:Deluge Data\, Data Deluge
DESCRIPTION:Virtual Sessions: October 19th\, 26th and November 2nd\, 2022\nIn person symposium @ Tandon School of Engineering\, NYU (Brooklyn Campus): November 4th\, 2022\nRegister for all sessions here\n\nThe FloodNet Consortium is pleased to host Deluge Data\, Data Deluge\, an online talk series and in-person symposium that brings critical perspectives from the humanities and arts into dialogue with engineering and data practitioners engaged in flood sensing. The online talks will be held over three weeks\, culminating in an in-person day-long symposium held at New York University’s Brooklyn campus in fall of 2022. \nClimate change in New York City means a future of flooding. With sea level rise and increasingly intense rainstorms\, flooding is expected to have an outsized influence on public health\, infrastructure\, and mobility in urban areas. One response to this growing challenge is improving the city’s data collection capacities through the construction of a city wide flood sensor network\, capable of providing real time\, hyperlocal flood data. In this symposium we consider flooding as a signal of a rapidly changing environment to ask\, what does it mean for flooding to become digitally sensed? We aim to explore the following questions: \n\nWhat does data do? What are the potentials and limitations of data-driven technologies and practices in climate change response\, adaptation and resilience? How does the way it is produced\, presented and shared shape how cities manage present day and coming environmental change?\nWhat role can data play to engage different publics with issues of flooding and climate emergency responsiveness? How are different publics already engaging with these technologies and data? How can data catalyze public engagement in new ways? How are data-driven technologies reshaping issues of equity and justice in flood response?\nHow can we bring critical perspectives from the humanities and arts into dialogue with engineering and data practitioners? This event aims to catalyze a dialogue between theory and practice\nWhat are principles and pathways for building public engagement with flood data?\n\nSponsors\nThis event is supported by the Alfred P. Sloan Foundation\, the Department of Integrated Design and Media\, New York University and the Advanced Science Research Center at the City University of New York. \n\n\n\nOrganizing Team\n\n\n\n\n\nTega Brain is an artist\, researcher and environmental engineer. She investigates implications of emerging computational technologies on how the environment is understood and imagined. She is an Industry Associate Professor in the department of Technology\, Culture and Society\, NYU Tandon School of Engineering. \n\n\n\n\n\n\n\nElizabeth Hénaff is a computational biologist and an artist investigating the way living beings interact with their environment\, with a focus on the ubiquitous and invisible microbial component of our environment. She is an Assistant Professor in the department of Technology\, Culture and Society\, NYU Tandon School of Engineering. \n\n\n\n\n\n\n\nKendra Krueger is an intersectional scientist\, educator\, artist and woman of color on many edges. She is the STEM Outreach and Education Manager at CUNY’s Advanced Science Research Center\, where she has also founded The Community Sensor Lab as a space for DIY community science and advocacy. \n\n\n\n\n\n\n\nHannah Eisler Burnett is an anthropologist who studies water and the people who live and work alongside its shifting boundaries. She is a Postdoctoral Fellow with the FloodNet Project in the department of Technology\, Culture and Society\, NYU Tandon School of Engineering.
URL:https://c2smart.engineering.nyu.edu/event/deluge-data-data-deluge/
LOCATION:370 Jay Street\, Room 825\, 370 Jay Street\, Room 1201\, New York City\, NY\, 11201\, United States
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20221104T130000
DTEND;TZID=America/New_York:20221104T140000
DTSTAMP:20260503T030340
CREATED:20221007T201730Z
LAST-MODIFIED:20221008T150913Z
UID:78091-1667566800-1667570400@c2smart.engineering.nyu.edu
SUMMARY:Student Learning Hub: Everything you need to know about digital twins: Building a campus model
DESCRIPTION:Instructor: Talha Azfar\, Ph.D Candidate at UTEP\nHands-on exercise: Yes\nLevel: No prior experience required.\nSchedule: Friday\, November 4\, 2022\, 1:00pm – 2:00pm\nDescription: Realistic digital geographical models of real-world locations are a necessary starting point for digital twin applications\, especially for simulation and visualization. This presentation will cover efficient and convenient procedures to create a 3D digital model of the UTEP campus along with the road network on the Unreal Engine project for CARLA\, a driving simulator. This can enable applications like computer vision\, traffic simulation\, and autonomous driving experimentation.  It can serve as a testbed for connected sensors and synchronized databases towards a complete digital twin.
URL:https://c2smart.engineering.nyu.edu/event/student-learning-hub-everything-you-need-to-know-about-digital-twins-building-a-campus-model/
LOCATION:Virtual\, 6 MetroTech Center\, Brooklyn\, NY\, 11201\, United States
CATEGORIES:Student Events
ORGANIZER;CN="C2SMART":MAILTO:c2smart@nyu.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20221109T130000
DTEND;TZID=America/New_York:20221109T140000
DTSTAMP:20260503T030340
CREATED:20221005T141334Z
LAST-MODIFIED:20221031T164807Z
UID:77915-1667998800-1668002400@c2smart.engineering.nyu.edu
SUMMARY:Simulation-Based Safety Evaluation Framework for Connected Vehicle Applications for Safety And Operational Measures
DESCRIPTION:Proper calibration process is key for traffic safety evaluations using simulation models. Allowing for a with and without comparison under controlled environment that is not directly testable in the field\, microsimulation-based approach has drawn considerable attention for the performance evaluation of emerging technologies\, including connected vehicle (CV) safety applications. Different from the traditional approaches to evaluate mobility impacts\, safety evaluations of such applications demand the simulation models to be well calibrated to match real-world safety conditions. This seminar will present a novel calibration framework which combines traffic conflict techniques and multi-objective stochastic optimization to calibrate the operational and safety measures simultaneously. The conflict distribution of different severity levels categorized by time-to-collision (TTC) is applied as the safety performance measure. Simultaneous perturbation stochastic approximation (SPSA) algorithm\, which can efficiently approximate the gradient of the multi-objective stochastic loss function\, is used for model parameters optimization that minimizes the total simulation error of both operational and safety performance measures. A case study will be demonstrated by calibrating a microscopic simulation model to evaluate CV safety applications as a part of the NYC Connected Vehicle Pilot Deployment Program. \nSpeaker: \nDr. Kaan Ozbay is a Professor at New York University’s Tandon School of Engineering\, and Director of C2SMART Center\, a Tier 1 USDOT University Transportation Center. Dr. Ozbay served as Principal Investigator (PI) of the NYU/C2SMART team as part of the NYCDOT-led New York City Connected Vehicle Pilot\, under USDOT’s Connected Vehicle Pilot Program. He joined NYU’s Department of Civil and Urban Engineering and Center for Urban Science and Progress (CUSP) in August 2013\, and is also Global Network Professor of Civil and Urban Engineering\, NYU Abu Dhabi (NYUAD) and Global Network Professor of Engineering and Computer Science\, NYU Shanghai (NYUSH).
URL:https://c2smart.engineering.nyu.edu/event/simulation-based-safety-evaluation-framework-for-connected-vehicle-applications-for-safety-and-operational-measures/
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:20221110T090000
DTEND;TZID=America/New_York:20221110T130000
DTSTAMP:20260503T030340
CREATED:20221021T131004Z
LAST-MODIFIED:20221023T132150Z
UID:78138-1668070800-1668085200@c2smart.engineering.nyu.edu
SUMMARY:Workshop: Defining Flood Risk Metrics to Place FloodNet Sensors in New York City
DESCRIPTION:Inland and coastal floods caused by severe weather events have always been a threat for New York City (NYC). Only last year\, Hurricane Ida brought massive precipitation to the city\, shattering historical records for single-hour rainfall. Hurricane Ida’s precipitation exceeded the stormwater network’s capacity\, ultimately flooding streets\, subways\, and homes\, and tragically taking the lives of 13 New Yorkers. \nThe NYU Disaster Risk Analysis Lab\, FloodNet Team\, and the NYC Mayor’s Office of Climate and Environmental Justice are working together to identify NYC’s areas with the highest flood risk to help NYC place FloodNet sensors. NYC FloodNet is a flood data collection program for real-time street-level flood information to city agencies\, residents\, emergency response teams\, and researchers. The city has already installed 29 FloodNet sensors and will install another 500 in priority areas citywide over the next five years. \nThis workshop will bring together multiple stakeholders to help the city prioritize the areas for deploying NYC FloodNet sensors. To prioritize these areas\, we invite emergency responders\, city officers\, researchers\, and disaster risk specialists to propose\, discuss\, and assess comprehensive risk metrics with a thorough consideration of equity for our communities. By combining multiple stakeholders’ perspectives\, we will create a wider picture of flood impacts on the city\, assigning a scale of importance to the different risk and equity metrics. The workshop will also be an opportunity to explore how FloodNet sensors can help support many other uses for flood risk management and mitigation to build a more resilient and equitable NYC. \nThis workshop is sponsored by the NYU Connected Cities with Smart Transportation (C2SMART) Center. \nWorkshop Schedule \n9:00 – 10:00 Presentations\n● Welcome\n● Overview of Flood Risk in New York City\n● Overview of FloodNet Initiative\n● Stormwater Resiliency Plan \n10:00 – 10:15 Icebreaker activity\nA brief activity for self introduction and familiarization among the participants. \n10:15 – 11:45 Brainstorming and moderated discussion on three main topics:\n● Quantitative risk assessment for floods in New York City\n● Equity and environmental justice\n● FloodNet data collection and usage \n11:50 – 12:30 Quantitative Exercise: Analytic Hierarchy Process (AHP)\nIndividual ranking exercise of available quantitative metrics to assess flood risk in New York City.
URL:https://c2smart.engineering.nyu.edu/event/workshop-defining-flood-risk-metrics-to-place-floodnet-sensors-in-new-york-city/
LOCATION:370 Jay Street\, Room 1201\, 370 Jay Street\, Brooklyn\, 11201
END:VEVENT
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DTSTART;TZID=America/New_York:20221111T130000
DTEND;TZID=America/New_York:20221111T140000
DTSTAMP:20260503T030340
CREATED:20221008T150913Z
LAST-MODIFIED:20221103T142233Z
UID:78093-1668171600-1668175200@c2smart.engineering.nyu.edu
SUMMARY:Student Learning Hub: Machine learning and Deep learning approaches in bridge degradation modeling and forecasting
DESCRIPTION:Instructor: Zhanhang Li\, Rutgers University\nHands-on exercise: Yes\nLevel: No prior experience required.\nSchedule: Wednesday\, November 11\, 2022\, 1:00pm – 2:00pm\nDescription: This course will provide students with a foundational understanding of machine learning models and degradation processes. With the bridge degradation modeling case study\, students will learn about different types of neural networks\, their strengths\, and context of application. Case studies and live demos will be provided using Artificial Neural Network (ANN) (Multilayer Perceptron [MLP]) and Convolutional neural network (CNN) for bridge rebar degradation modeling.
URL:https://c2smart.engineering.nyu.edu/event/student-learning-hub-machine-learning-and-deep-learning-approaches-in-bridge-degradation-modeling-and-forecasting/
LOCATION:Virtual\, 6 MetroTech Center\, Brooklyn\, NY\, 11201\, United States
CATEGORIES:Student Events
ORGANIZER;CN="C2SMART":MAILTO:c2smart@nyu.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20221116T160000
DTEND;TZID=America/New_York:20221116T170000
DTSTAMP:20260503T030340
CREATED:20221005T141434Z
LAST-MODIFIED:20221111T225455Z
UID:77918-1668614400-1668618000@c2smart.engineering.nyu.edu
SUMMARY:Connected Vehicle Applications: Lessons Learned and Future Research & Deployment Roundtable
DESCRIPTION:The USDOT Connected Vehicle (CV) Pilot Program sought to test vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) applications to improve tranportation systems\, mobility\, and safety with real-world deployments in New York City\, Tampa\, and Wyoming. \nThis roundtable discussion will focus on these recently completed connected vehicle pilots and the lessons learned. Our panelists will feature practitioners\, decision-makers\, and researchers involved in CV deployments and leading the way for their wide-scale adoption. \nThis roundtable caps off C2SMART’s State of the Field: Connected Vehicle Applictions series\, and there will be a synthesis of prior presentations and a discussion on future directions and applications for research\, testing\, and deployment. \nWe look forward to your participation! \nPanelists: \n \nSisinnio Concas serves as Program Director at the Center for Urban Transportation Research (CUTR) and Research Associate Professor the University of South Florida (USF) College of Engineering. Dr. Concas has over 20 years of experience as a transportation economist conducting economic impact and benefit-cost analyses for public transportation\, airport and roadway projects. Dr. Concas leads CUTR’s Autonomous & Connected Mobility Evaluation (ACME) Program. ACME focuses on producing quick-response solutions to better inform practitioners and policy maker in selecting and prioritizing cost-feasible innovative transportation alternatives. He has performed numerous research projects for the U.S. Federal Transit Administration\, Federal Highway Administration\, the Florida Department of Transportation\, state and local transportation authorities. Dr. Concas leads the Performance Measurement Evaluation and Support of the Tampa CV Pilot Deployment. \n \nDr. Mohamad Talas is the Deputy Director of ITS System Engineering\, New York City Department of Transportation. He brings long standing career experience in traffic engineering and continue with over 27 years in Traffic Engineering and Operation experience in New York City Department of Transportation. He currently serves as the Director for the NYC Department of Transportation ITS project Management\, Research and Development where he supervises the Intelligent Transportation System projects and initiatives in New York City. These projects include the development and implementation of the New York City Traffic Computerization System at the Traffic Management Center modernizing and operating over 12\,000 signals and the currently deployed Active Traffic Management System in in Manhattan(Midtown In Motion) and NYC Connected Vehicle Pilot Deployment. He has earned his PhD in Transportation Planning and Engineering at NYU -Poly University\, Master degrees in Transportation\, Planning and Engineering and a Masters in Electrical Engineering from Fairleigh Dickinson University. \n \nBilly Chupp is a data analyst and engineer at the U.S. Department of Transportation’s Volpe Transportation Systems Center in Cambridge\, Massachusetts. Mr. Chupp supports a wide range of projects at the Volpe Center including cloud database and analysis system development and management for DOT’s Chief Data Officer\, artificial intelligence and machine learning development initiatives for DOT’s ITS Joint Program Office\, and air quality modeling and data analysis projects for the Federal Highway Administration. Mr. Chupp most recently served as the technical lead on Volpe’s independent safety evaluation effort for the three connected vehicle pilot programs in New York City\, Tampa\, and Wyoming\, and continues to support the ITS JPO on data documentation and strategy efforts within the connected vehicle space and beyond. \n \nDr. Karl Wunderlich holds a joint appointment at Noblis in Washington\, DC.\, serving as both is the Director of the Surface Transportation Division and the Director of the Noblis Autonomous Systems Research Center. He is a key contributor to both research and development projects and technology deployment programs sponsored by the US Department of Transportation (USDOT) and the Federal Highway Administration (FHWA). Dr. Wunderlich is an expert in the use of simulation techniques to evaluate the potential impact of emerging technologies to improve traveler mobility or system productivity – including vehicle connectivity\, autonomy\, and blockchain. He is a published author and patent-holder in orchestrated autonomy\, which leverages blockchain to create efficient and collision-free path planning among heterogenous\, unfamiliar\, and autonomous machines. Dr. Wunderlich holds a Ph.D. in Operations Research from the University of Michigan. \nDr. Kaan Ozbay is a Professor at New York University’s Tandon School of Engineering\, and Director of C2SMART Center\, a Tier 1 USDOT University Transportation Center. Dr. Ozbay served as Principal Investigator (PI) of the NYU/C2SMART team as part of the NYCDOT-led New York City Connected Vehicle Pilot\, under USDOT’s Connected Vehicle Pilot Program. He joined NYU’s Department of Civil and Urban Engineering and Center for Urban Science and Progress (CUSP) in August 2013\, and is also Global Network Professor of Civil and Urban Engineering\, NYU Abu Dhabi (NYUAD) and Global Network Professor of Engineering and Computer Science\, NYU Shanghai (NYUSH). \nModerated by: \nJingqin (Jannie) Gao completed her Ph.D. in Transportation Planning and Engineering at NYU Tandon\, where she works with C2SMART Director Kaan Ozbay. She studied Science and Technology of Optical Information and received her B.S. from Tongji University in China and her M.S in Transportation Planning and Engineering from New York University. Her research interests lie in offline and real-time simulation modeling\, big data and machine learning approach for transportation\, and transportation economics. She also worked for the New York City Department of Transportation on modeling and data analysis to support the agency’s internal planning\, technical review processes and coordinated with external agencies on regional projects since 2012. Jingqin is the former president of NYU’s joint Institute of Transportation Engineers (ITE) and The Intelligent Transportation Society of America (ITS) Student Chapter during 2018-2019\, through which she organized various company visits\, tech talks\, women in transportation events and the 2019 ITE Northeastern District Traffic Bowl.
URL:https://c2smart.engineering.nyu.edu/event/connected-vehicle-applications-lessons-learned-and-future-research-deployment-roundtable/
LOCATION:Virtual\, 6 MetroTech Center\, Brooklyn\, NY\, 11201\, United States
CATEGORIES:Connected & Autonomous Mobility,Webinars
ORGANIZER;CN="C2SMART":MAILTO:c2smart@nyu.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20221118T130000
DTEND;TZID=America/New_York:20221118T140000
DTSTAMP:20260503T030340
CREATED:20221007T202022Z
LAST-MODIFIED:20221111T225842Z
UID:78095-1668776400-1668780000@c2smart.engineering.nyu.edu
SUMMARY:Student Learning Hub: How to develop a survey using Qualtrics: A step-by-step guide
DESCRIPTION:Instructor: Hella Alnajjar\, New York University\nHands-on exercise: Yes\nBeginner level: No prior experience required.\nSchedule: Friday\, November 18\, 2022\, 1:00pm – 2:00pm\nDescription: This course is for students who want to learn how to conduct\, distribute\, and analyze a survey-based study using Qualtrics\, a powerful online survey tool\, for research purposes. The lesson will include hands-on exercises on how to create sets of questions of various types\, import data\, set up a display or skip logic for a question\, and how to effectively visualize\, export and analyze the data collected.
URL:https://c2smart.engineering.nyu.edu/event/student-learning-hub-how-to-develop-a-survey-using-qualtrics-a-step-by-step-guide/
LOCATION:Virtual\, 6 MetroTech Center\, Brooklyn\, NY\, 11201\, United States
ORGANIZER;CN="C2SMART":MAILTO:c2smart@nyu.edu
END:VEVENT
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