Fabian Lorig
Associate Professor/Assistant head of dep.

Presentation

I am an Associate Professor (Docent) in Computer Science, with a focus on agent-based modelling, the use of AI in socio-technical systems, and the development of simulation-based decision and policy support. My research integrates computational methods with real-world applications in public health, mobility, and policy, with a focus on understanding and addressing the societal implications of AI and to support the development of responsible and impactful technologies.

I have led and contributed to interdisciplinary research projects where we degin computational models that enable stakeholders and policy actors to better understand complex dynamics of social systems and to anticipate the potential consequences of policy interventions and AI technologies. Through participatory approaches and social simulations, my research facilitates evidence-based decision-making in domains where digital technologies shape societal outcomes.

Research Interests

• Agent-based modeling and social simulation
• Decision and policy support systems
• Artificial intelligence in socio-technical contexts
• Participatory modeling and stakeholder engagement
• Governance and societal implications of digital technologies
• Smart mobility and transportation systems

Current Projects

• Agent-based Social Simulation of Organ Donation Policies (Role: PI, Funded by Crafoord Foundation)
• Realizing the Potential of Agent-Based Social Simulations (Role: Co-PI, Funded by WASP-HS
• Facilitators and barriers to the use of agent-based social simulation in organ donation (Role: PI, Funded by SciLifeLab.se)

Selected Publications

• Fabris, B., Tucker, J., & Lorig, F. (2025). Using agent-based social simulations to inform organ donation policymaking: adopting the Spanish approach in Sweden. In The 26th International Workshop on Multi-Agent-Based Simulation (MABS2025). (Link)
• Belfrage, M., Lorig, F., & Davidsson, P. (2024). Simulating change: A systematic literature review of agent-based models for policy-making. In 2024 Annual Modeling and Simulation Conference (ANNSIM) (pp. 1-13). IEEE. (Link)
• Lorig, F., Belfrage, M., & Johansson, E. (2024). Teaching Agent-Based Modeling for Simulating Social Systems–A Research-Based Learning Approach. In International Workshop on Multi-Agent Systems and Agent-Based Simulation (pp. 39-53). Cham: Springer Nature Switzerland. (Link)
• Uhrmacher, A. M., Frazier, P., Hähnle, R., Klügl, F., Lorig, F., Ludäscher, B., et al. (2024). Context, Composition, Automation, and Communication: The C2AC Roadmap for Modeling and Simulation. ACM Transactions on Modeling and Computer Simulation, 34(4), 1-51. (Link)
• Lorig, F., Persson, J. A., & Michielsen, A. (2023). Simulating the impact of shared mobility on demand: a study of future transportation systems in gothenburg, sweden. International Journal of Intelligent Transportation Systems Research, 21(1), 129-144. (Link)
• Lorig, F., Johansson, E., & Davidsson, P. (2021). Agent-based social simulation of the COVID-19 pandemic: A systematic review. JASSS: Journal of Artificial Societies and Social Simulation, 24(3). (Link)

Teaching

• Agent-Based Modeling and Simulation
• (Distributed) Artificial Intelligence
• Data and Society
• Information Management
• Process and Logistics Management
• Business Information Systems

External Profiles

• Google Scholar
• DBLP
• ORCID
• LinkedIn