@conference {1523384, title = {Social Simulations for Intelligently Beating COVID-19}, booktitle = {AI for Social Good Workshop}, year = {2020}, abstract = { The COVID-19 virus has led to a world-wide crisis that requires governments and stakeholders to take far-reaching decisions with limited knowledge of their consequences. This paper presents the AS- SOCC model as a valuable decision-support tool for anticipating the consequences of possible measures by considering many interwoven aspects at the individual, group and societal level. Moreover, this paper illustrates how this model can be applied to study the effects of different testing strategies on the spread of the virus and the healthcare system. We found that excluding age groups from random testing was ineffective, while prioritizing test- ing healthcare and education workers was effective, in combination with isolating the household of an infected person. Back to AI for Social Good event }, author = {Christian Kammler and Annet Onnes and Lo ̈{\i}s Vanhe ́e and Harko Verhagen and Bart de Bruin and Paul Davidsson and Frank Dignum and Virginia Dignum and Amineh Ghorbani and Mijke van den Hurk and Maarten Jensen and Kurt Kreulen and Fabian Lorig and Luis Gustavo Ludescher and Alexander Melchior and Rene ́ Mellema and Cezara Pastrav and Tomas Sjo ̈stro ̈m} }