Finding Valdo with Deep Learning & Reaching UN's Sustainability Goals with DS

Direct link to join the event: https://www.meetup.com/vienna-data-science-group-meetup/events/288864744/ Finding Waldo with permutational equivariance Thomas Niedermayer, Data Science Student

We will introduce the computer vision problem of the most recent Lumos datathon, showcase the winning submission, and explain the concept of permutational equivariance to improve the learning of neural networks for input data in the form of sets.

Leo and Thomas are TU Data Science students with a CS and math background, respectively. They are part of a student organization specializing in Data Science called Lumos.

Data science for the Sustainable Development Goals: Opportunities & Challenges Elisa Omodei, Assistant Professor, Department of Network and Data Science, CEU

In a rapidly changing world, facing an increasing number of socioeconomic, health and environmental crises, data science can help us quantify vulnerabilities and monitor progress toward achieving the UN Sustainable Development Goals. In this talk, I will provide a non-exhaustive overview of the main areas of applications where data-driven computational methods have shown their potential for social impact, and I will then deep-dive more specifically into my work on predicting food insecurity from conflict, weather, and economic data.

After the talks, as always, comes the favorite part of many: grabbing a snack and getting to know each other!