Dr Peer-Olaf Siebers
  Assistant Professor
School of Computer Science [url]
Intelligent Modelling & Analysis Research Group [url]
The University of Nottingham [url]
Nottingham [url]
NG8 1BB, UK [url]

Email: peer-olaf.siebers@nottingham.ac.uk
Orcid ID: 0000-0002-0603-5904

CompSci Building, Room B35 [map]
Office Hours: Please make an appointment via email

My Official University Website [url]
Mission Statement
"Research is formalized curiosity. It is poking and prying with a purpose." -Zora Neale Hurston
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 Object Oriented Agent-Based Social Simulation (OOABSS). This is a novel and highly interdisciplinary research field, involving disciplines like Social Science, Economics, Psychology, Geography, Operations Research, and Computer Science. My current research focus is twofold. On the methodological frontier I aim to advance the model development strategies for OOABS. On the practical frontier I look at novel uses of simulation for studying Urban Sustainability (including Smart Cities and Smart Roads), and people's wellbeing at local and global scale. I am a co-investigator in the Leverhulme funded project Sustaining Urban Habitats and a member of the university's "Sustainable and Resilient Cities" Research Priority Area management team. Furthermore, I am working together with Nottingham City Council's Transport Strategy Department on some Smart City projects.
  • artificial intelligence
  • agent-based modelling
  • social simulation
  • methodological advance
  • test-driven simulation modelling
  • co-creation of agent-based social simulation models
  • using a co-creation approach for information gathering
  • sustainable and resilient cities
  • future mobility
Case Studies:
  • Nottingham City Council: Development of a SmarterTravel-Nottingham Platform [summary]
Latest publications:
  • Siebers PO, En Lim Z, Figueredo GP, and Hey J (2020) 'An Innovative Approach to Multi-Method Integrated Assessment Modelling of Global Climate Change', Journal of Artificial Societies and Social Simulation, 23(1)10; open access. [2018 IF 2.194]
  • Ligmann-Zielinska A, Siebers PO, Maglioccia N, Parker D, Grimm V, Du EJ, Cenek M, Radchuk V, Arbab N, Li S, Berger U, Paudel R, Robinson DT, Jankowski P, An L, and Ye X (2020) 'One Size Does Not Fit All: A Roadmap of Purpose-Driven Mixed-Method Pathways for Sensitivity Analysis of Agent-Based Models', Journal of Artificial Societies and Social Simulation, 23(1)10; open access. [2018 IF 2.194]
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