Michel Schilperoord will present at the International PLATO Conference (https://www.plato.uni-mainz.de/) on the 25th of May 2018.
In the context of PLATO, he will provide input on development of a study connecting research on collective intelligence with social simulation methodology. His presentation will provide a look on how computational methods already help to understand interactions of social agents and artefacts in big data spaces. The examples taken point at opportunities to do research combining agent-based modelling and other methods (machine learning, network analysis, big data visualization). This mix of methods enables researchers to examine, in a broader context, dynamic features of knowledge production, learning, and collaborative innovation. The insights can then be utilized with a view on designing new tools for (self-)monitoring and analyzing impacts on learning.