Peer-Olaf Siebers

Contact

• workRoom B35 Computer Science
  Jubilee Campus
  Wollaton Road
  Nottingham
  NG8 1BB
  UK
• workn/a
• peer-olaf.siebers@nottingham.ac.uk
• https://people.cs.nott.ac.uk/pszps/

Biography

My main research topic is the application of Computer Simulation and Artificial Intelligence to study human-centric and coupled human-natural complex adaptive systems. I am a strong advocate of using Co-Creation for object oriented Agent-Based Modelling (ABM). This novel and highly interdisciplinary research agenda involves disciplines like Social Science, Economics, Marketing, Psychology, Geography, Operations Research, and Computer Science. My current research is primarily concerned with the following three areas. On the methodological frontier I aim to advance the model development strategies for ABM, through the Engineering Agent-Based Social Simulations (EABSS) toolkit. On the practical frontier I look at novel uses of simulation for studying Urban Sustainability (including Smart Cities and Smart Roads), modelling Human Behaviour in Floods using ABM and Virtual Reality, and modelling people's wellbeing at local and global scale. I was a co-investigator in the Leverhulme funded project Sustaining Urban Habitats. Furthermore, I am working together with Nottingham City Council's Transport Strategy Department on some Smart City projects. On the generative AI frontier I am looking into the use of Large Language Models to support and advance agent-based model design and implementation.

Teaching Summary

Current Module(s) include: COMP4038 - Simulation and Optimisation for Decision Support

Past Module(s) include: COMP2013 - Developing Maintainable Software

Research Summary

My current research focuses on further improving the Engineering Agent-Based Social Simulation (EABSS) framework, on applying agent-based modelling to support case study research in various domains,… read more

Recent Publications

• An up-to-date list of my publications can be found on my homepage.

• View all publications

Current Research

My current research focuses on further improving the Engineering Agent-Based Social Simulation (EABSS) framework, on applying agent-based modelling to support case study research in various domains, and on exploring the role of Generative AI (Large Language Models) in advancing agent-based model design and implementation.

Past Research

An up-to-date list of my past research can be found on my homepage.

Future Research

My plans for future research include the development of a test-driven simulation modelling strategy, investigations into the use of simulation as a digital twin for continuous monitoring, analysis, and optimisation of systems, and the application of Generative AI in the context of data analysis and agent-based modelling.

• An up-to-date list of my publications can be found on my homepage.