#IC2S2: When Social Science meets Computer Science – GESIS will host the IC2S2 conference 2017

After successful events in Helsinki 2015 and Evanston, IL 2016, the conference will now take place in Cologne, Germany, on July 10-13, 2017.

IC2S2 is an interdisciplinary event designed to engage a broad community of researchers – academics, industry experts, open data activists, government agency workers, and think tank analysts – dedicated to advancing social science knowledge through computational methods.

The conference offers the opportunity to meet and discuss work in which social systems and dynamics are investigated in a quantitative way through large datasets that are either mined from various sources (e.g. social media, communication systems), or created via controlled experiments or computational modeling.

GESIS – Leibniz Institute for the Social Sciences is the largest infrastructure institution for the Social Sciences in Germany. With more than 300 employees in two locations (Mannheim and Cologne) GESIS render substantial, nationally and internationally relevant research-based infrastructure services.

Computational Social Science is one of the main research topics at GESIS. The researchers develop algorithms and novel, non-obtrusive methods for the social sciences based on state-of-the-art approaches from the domains of machine learning, data mining and network analysis.

http://ic2s2.org/2017 Conference homepage
http://www.gesis.org/home/ Homepage of GESIS Leibniz Institute for the Social Sciences
http://www.gesis.org/forschung/angewandte-informatik-und-informationswissenschaf… CSS at GESIS

Media Contact

Christian Kolle idw - Informationsdienst Wissenschaft

All latest news from the category: Event News

Back to home

Comments (0)

Write a comment

Newest articles

First-of-its-kind study uses remote sensing to monitor plastic debris in rivers and lakes

Remote sensing creates a cost-effective solution to monitoring plastic pollution. A first-of-its-kind study from researchers at the University of Minnesota Twin Cities shows how remote sensing can help monitor and…

Laser-based artificial neuron mimics nerve cell functions at lightning speed

With a processing speed a billion times faster than nature, chip-based laser neuron could help advance AI tasks such as pattern recognition and sequence prediction. Researchers have developed a laser-based…

Optimising the processing of plastic waste

Just one look in the yellow bin reveals a colourful jumble of different types of plastic. However, the purer and more uniform plastic waste is, the easier it is to…