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Webinar #2: Best Practices and Lessons Learned Using Big Data and IoT for Crowd-management Applications

13 October 2020 @ 12:00 - 13:00

Please note: this second edition of the CityFlows webinar series previously scheduled for October 6 has been postponed to October 13.

To facilitate knowledge exchange between project partners and stakeholders, the CityFlows project is hosting a webinar series. Through four, one hour webinars you will get insights from project partners and engage in a discussion with crowd-management researchers and practitioners.

We are pleased to share with you a very dynamic program of the second webinar, focused on best practices and lessons learned on the topic of big data and IoT for crowd management with key contributions by Barcelona and Milan partners.

 

CityFlows Webinar #2: Big Data & IoT for Crowd Management 

11:50 – 12:00 Zoom meeting room open

12:00 – 12:05 Welcome & introductions 

12:05 – 12:20 Best practices & lessons learned from Barcelona by Jordi Ortuño, Maziar Ahmadi & Chloe Cortés

12:20 – 12:35 Data source integration for tourism flows governance and safety by Mauro Annunziato & Piero De Sabbata

12:35 – 12:40 Reflection from Amsterdam

12:40 – 13:00 Q&A with the audience 

13:00 Program end

 

Did you miss the webinar? It is possible to watch the recording via https://vimeo.com/472202552

The summary from the first webinar can be found here.

 


Save the date!

Two additional webinars are scheduled through the end of the year. Speakers will be announced closer to the date.
• Tuesday, November 3, 15:00-16:00 CET – Crowd Management at Train Stations & Multimodal Hubs
• Tuesday, December 1, 15:00-16:00 CET – 5G Applications for Crowd Management

Are you a practitioner or researcher working on a relevant crowd-management project and would like to share your work and findings with the CityFlows network? Send a short email explaining your project to CityFlows Communications Officer, Cornelia Dinca via cornelia-dinca@ams-institute.org

Details

Date:
13 October 2020
Time:
12:00 - 13:00