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Data Science in Digital Environments
August 2 @ 7:00 pm - 10:00 pmFree
Data is created in vast amounts and at an incredible speed nowadays. With 500 million tweets, 65 billion WhatsApp messages, and more than 720,000 hours of new YouTube content being shared every single day, digital environments play a key role in this process. This leads to two fundamental questions for CorrelAid and data science for social good in general:
- How can we analyze this huge amount of digital trace data?
- How can society benefit from our analyses?
In order to tackle these questions, we’ve put together a diverse program of talks, starting with the keynote speech on the #MeTwo movement. Together with social activist Ali Can, who launched the hashtag last summer to draw attention to racial discrimination and racist attacks, data scientists Juan Orduz, Sandra Meneses, Paul Meiners, Konstantin Gavras, and Lisa Hehnke analyzed more than 200,000 tweets on #MeTwo. Using NLP techniques and dynamic network visualizations, they identified important topics and influential actors of the Twitter campaign. In their keynote, they will share the results of the project and discuss the societal benefits and limitations of such online movements with the audience.
Mathematician Liubov Tupikina from CRI Paris will talk about the potential of network analysis for good. In her talk titled “Network analysis: How can we benefit from our travels?” she will first demonstrate how to analyze real-world heterogeneous transportation networks. She will then present Lecturers without borders (https://scied.network/), a project which Liubov and her colleagues developed together with researchers from Germany, France, and Switzerland.
Political scientist Fabio Votta will talk about personalisation algorithms and extremist content online. It is often alleged that algorithms on social media platforms lead users into echo chambers where their opinions are not only mirrored back at them but they also might receive more and more of content they already agree with. In his talk, Fabio will share and discuss the results of his study on whether algorithms promote extremist material once a user begins to interact with such content.
With mobility data we can gather valuable insights on the movement pattern within a city. Computer scientist Alexandra Kapp from the Technologiestiftung Berlin will talk about her project on collecting and analyzing millions of bike sharing trips: How to efficiently gather, store, and analyse the data.
The full program will be announced soon. If you’re interested in giving a lightning talk yourself, please register here: https://bit.ly/2X5HZ50
- 6:30 p.m. – Doors open
- 7:00 p.m. – 8:30 p.m. Talks
- 8:30 p.m. – 9 p.m Lightning talks & discussion
- from 9 p.m. – Open end with drinks and snacks