IEEE Free Online Webinar: Analysis of the Environmental Impact of Transportation and Infrastructure, May 9, 2024

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Register now for the free IEEE Virtual Webinar: Data Science Strategies for Analyzing the Impact of Transportation and Infrastructure on the Environment, May 9. Attend this session to learn how newly available tools, such as the National Transportation Data and Analytics Solution, can lead to critical insights and accelerate the development of new and improved solutions to mitigate the impact of traffic and congestion on the environment and community. Keynote speakers Jane Macfarlane, Director of the Smart Cities and Sustainable Mobility Center at the University of California Berkeley and Thomas Brennan, Professor of Civil Engineering at the College of New Jersey, will provide critical insights into transportation research and discuss interdisciplinary use cases that examine a range of data science strategies that leverage mobility data and transportation infrastructure analysis to help determine the environmental impacts of transportation and infrastructure and help illuminate new breakthroughs in the development of transportation solutions. Register today!

https://event.on24.com/wcc/r/4558482/BC295482168E314BB908851A625CBD61?partnerref=LG_WBNR_2024_RFW_2024_NTDAS_Webinar_T1&mkt_tok=NjgyLVVQQi01NTAAAAGSi1XnJ0uDynE6Po_pzFRLM4RoYPn1GacwFcY5elYwS4t-3tq15bZLwNrtATHL0-rMonskjRaXK7wbOHplMJ7rTd6_T6bZ_bYb_t4AAvFS2-Ot/

Discussion topics include:
- Analysis of air quality problems in underserved communities
- Determining optimal placement of electric vehicle charging stations to increase their utility
- Assessment of wildfire threats to communities to improve evacuation planning
- Analyzing the impact of flooding caused by large storm events
- Assess the impact of traffic congestion on microplastic pollution.
- Analysis tools and data available to support these analyses
- Live Q&A: Our experts will answer your questions live!

Event Details:
Date: Thursday, May 9, 2024
Time: 12:00 p.m. ET / 11:00 a.m. CT / 10:00 a.m. MT / 9:00 a.m. PT
Duration: 60 minutes