ADS & AMDS Webinar | Modelling Economic & Health Effects of COVID-19 Policies

Amsterdam Data Science (ADS) and Amsterdam Medical Data Science (AMDS) are co-hosting a new lecture series in collaboration with Elsevier and Google to explore The Power and Weakness of Data Modelling in COVID-19.

Aims of this series:

Showcase the power and limitations of data centred approaches
Jointly understand and learn from the different COVID approaches and views
Shape the time for Data Science research/education after the lock-down

Lecture 4: Modelling economic and health effects of COVID-19 policy measures

This presentation will be about a model that has been developed at Wharton to simulate the economic and health effects of policy decisions. For a detailed model description: https://budgetmodel.wharton.upenn.edu/issues/2020/5/1/coronavirus-reopening-simulator

Programme:
16:00 Welcome & Introduction
16:05 Talk by Kent Smetters, Alex Arnon and John Ricco
16:40 Q&A
17:00 End!

Moderators
Marc Salomon (ABS UvA, ADS) and Mark Hoogendoorn (VU, AMDS)

Speakers
Kent Smetters is the Boettner Chair Professor at the University of Pennsylvania’s Wharton School and a Faculty Research Fellow at the National Bureau of Economic Research.

Alex Arnon is Senior Analyst at the Penn-Wharton Budget Model

John Ricco is Senior Analyst at the Penn-Wharton Budget Model

Date: Wednesday 24 June 2020
Time: 16:00-17:00

Zoom details to follow soon.