The post-lockdown society: challenges of social and mathematical predictions

The post-lockdown society: challenges of social and mathematical predictions 19 May 2020 09:30 This webinar discussed ways to anticipate post-lockdown implications. We presented both a mathematical and an integral population behavior approach. How do these predictions work? What are they based on? What are the challenges in interpreting these predictions? Speakers were Dr. Tina Comes , and Professor dr. ir. Rob Kooij , moderated by dr. Behnam Taebi . In his talk Rob addressed mathematical models with some cool simulations and explained the many uncertainties to take into account. Tina talked about the integral approach including collaborative, human, and informational aspects in predicting the post-lockdown societies. In the Q&A there were lots of discussions about the role of predictions in decision making, different (unexpected) actors and factors and how they influence outcomes, and multi-disciplinary approaches. Slides of Tina Comes Slides of Rob Kooij More information about the work and visuals of Paul van Gent: https://github.com/paulvangentcom/python_corona_simulation You can contact him @ P.vanGent@tudelft.nl You can find the recording of the webinar here .