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 𝗮𝗻𝗱 𝗠𝗼𝗱𝗲𝗹𝗹𝗶𝗻𝗴 𝗶𝗻 𝗖𝗢𝗩𝗜𝗗-𝟭𝟵.

Aims:

• 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 𝟳: 𝗧𝗲𝗮𝗰𝗵𝗶𝗻𝗴 𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝗰𝗲 𝗼𝗻𝗹𝗶𝗻𝗲 𝗱𝘂𝗿𝗶𝗻𝗴 𝗖𝗢𝗩𝗜𝗗-𝟭𝟵

𝗣𝗿𝗼𝗴𝗿𝗮𝗺𝗺𝗲
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!

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

𝗦𝗽𝗲𝗮𝗸𝗲𝗿𝘀

• 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