- Strengthen CSS community
- Close the gap between social science, data science, computer science and mathematics
- Spread computational social science
How WE do THIS:
- Seminars and presentations
- Best practises
>300 top researchers in computational science, complexity, and social science
Studying social phenomena in economics, sociology, health, communication, etc.
50% computer scientists, 30% social scientists and 20% mathematicians
Using computational methods: Network analysis,, machine learning, modeling, etc.
Warm-up school: 15-16th July
Datathon: 17th July
Conference: 18-20th July
(deadline abstract submission: Feb 10th)
Expected: ~40 people, mainly computer scientists working on social systems.
Looking for: Two interesting questions and two datasets
- Smartphone addiction: How do the norms around smartphones evolve? How does users' smartphone behavior relate to the user’s social network and the smartphone behavior of her peers?
- Health: What are the trends and developments in online discussions forums on health topics, such as burnout?
- The spread of fake news: How do humans combine, process and spread fake information? Can we detect fake new by its diffusion patterns?
- Mobility patterns and inequality: How does your socioeconomic position affect your transport opportunities?
- Cyberbullying: how can we detect and combat cyberbullying in online social networks?
- Innovation: What drives the success of teams of people?
- Science: how does data on scientific collaboration and citation help us make better research teams or understand scientific success?
- Gender inequality: Is there an algorithmic gender-bias in online search engines?
- Culture evolution: Can we detect the next new trend in music-genre by user listeners behavior on, e.g. SoundCloud?
ADS Partner Meeting
By Javier GB