ADS & AMDS Webinar | Teaching Data Science online during COVID-19

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 6: Teaching Data Science online during COVID-19

What did we learn from teaching Data Science online? What are the experiences from the teachers and the students? How do you keep personal contact? How can you do group assignments? Which technology is useful, which technology is more difficult? What are the do’s and don’ts?

15:00 Welcome & Introduction
15:05 Talk by Christine Gouveia (Elsevier)
15:30 Talk by Andrea Weihrauch (UvA)
15:45 Q&A
16:00 End!

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

– Christine Gouveia, VP of Applied Learning Sciences at Elsevier and visiting professor at the University of Pennsylvania. Christine will talk about best practices and effective online instruction including student engagement and social-emotional (SEL) aspects.

– Andrea Weihrauch, assistant professor in Marketing at the University of Amsterdam.
Title: Discussing Data and AI Ethics Online – Perils and Solutions

Andrea teaches Privacy and Ethics for Big Data and AI, and will provide the perspective of how to make sure to provide a safe space online to discuss topics around data that are “sensitive” – considering the online environment is so different from the physical one.

There are many risk that emerge by moving such topics online. For example, opinions are expressed less strongly online, especially when materials are filmed, some voices are even less likely to be heard. What solutions are there to these problems?

Date: 15 July 2020
Time: 15:00-16:00

Zoom details: