Serge Stinckwich

Dr. Serge Stinckwich is a computer scientist with 16+ years of experience at the intersection of digital technologies and sustainable development, with research engagement across Asia, Africa and Europe. From 2020 to 2026, he served as Senior Research Fellow at the United Nations University International Institute for Software Technology (UNU-IIST) in Macau, leading an interdisciplinary research team of up to eight members. His research agenda addresses responsible artificial intelligence, gender and technology, digital health, and agent-based and participatory modelling methodologies, with application to the United Nations Sustainable Development Goals (SDGs). His scholarly work spans complex systems modelling, social simulation, and the implications of AI for global governance and sustainability. Previously, he served as Associate Professor and researcher in an international joint research unit between the French Research Institute on Sustainable Development (IRD), Sorbonne University and 5 universities located in Cameroon, Morocco, Senegal and Vietnam. From 2008 to 2012, he worked in Ha Noi, Vietnam, on the AROUND (Autonomous Robots for Observation of Urban Networks) program. He was an invited Professor at Kyoto University to work with Japanese experts on Rescue Robotics. From 2017 to 2020, he was based in Cameroon. With colleagues from the University of Yaoundé, he worked on Complex System modelling and Artificial Intelligence applied to applications like epidemiological surveillance and environmental monitoring in collaboration with IRD and CIRAD research institutes. From 2015 to 2018, Serge was the Principal Investigator of GDRI Sense-South, an international research network of teams from Senegal, Cameroon, Vietnam and France working on “Innovative Sensors and IoT Telecommunication Networks for Environmental Surveillance in Southern Countries”. He organised 50+ international workshops and conferences and supervised 20+ PhDs/MSc students worldwide. Serge regularly conducts training sessions for policymakers and stakeholders on AI and climate, large language models and synthetic data, and the use of agent-based models to design better health policy. He is a committed advocate of open collaboration and open-source values.