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Sjoukje Osinga studied Artificial Intelligence and Cognitive Science in Groningen and Leuven. Her PhD research (2015, Wageningen) was on agent-based modelling (ABM) of knowledge management in the pig sector. As part of her PhD research, she spent six months in China, where she studied information management of pig farmers and pork chain stakeholders. Currently, her ABM research interests cover knowledge representation, human decision behaviour, and methodological issues.
As of October 2018 she is actively involved in the H2020-EU-project "Dragon", on applied artificial intelligence, machine learning and data analytics in agriculture. The projects' partners Agri-EPI (Scotland) and Wageningen University form a twinning relationship with ambitious junior experts from Biosense institute (Serbia), to promote knowledge transfer in this area. See https://datadragon.eu/
From January 2019 onwards, Sjoukje also participates in H2020-EU-project "Cybele", where she is involved in finding the match between problem-owners (in agriculture and livestock application domains) and solution-providers (data-driven and machine learning methods and facilities). See https://cordis.europa.eu/project/rcn/220361/factsheet/en
On ABM-related topics, Sjoukje participated in the Complex Adaptive Systems theme of WUR, see http://www.wageningenur.nl/en/About-Wageningen-UR/CAS.htm. She is member of SiLiCo Centre Wageningen (Simulating Life Sciences Complexity) is a virtual centre that acts as a portal to Wageningen Universitys expertise on modelling complex systems through agent-based simulations (http://www.wur.nl/en/Research-Results/Projects-and-programmes/silico.htm).