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.
 
Keywords:
 
  • 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:
 
 
Latest publications:
 
  • Research Note > Siebers PO, Amponsah K, Hey J, Chattoe-Brown E, and Borit M (2022) 'Discussions on qualitative & quantitative data in the context of agent-based social simulation'. Review of Artificial Societies and Social Simulation, 16th May 2022. https://rofasss.org/2022/05/16/Q&Q-data-in-ABM

  • Journal Papers (Refereed) > Whiteley TD, Avitabile D, Siebers PO, Robinson D, and Owen MR (2022) 'Modelling the emergence of cities and urban patterning using coupled integro-differential equations', J. R. Soc. Interface, DOI: 10.1098/rsif.2022.0176; open access. [2020 IF: 4.118]

  • Journal Papers (Refereed) > Achter S, Borit M, Chattoe-Brown E, and Siebers PO (2022) 'RAT-RS: a reporting standard for improving the documentation of data use in agent-based modelling', International Journal of Social Research Methodology, DOI: 10.1080/13645579.2022.2049511; open access. [2020 IF: 3.096]

 
This site uses cookies to anonymously measure how people use it!