Building upon last year’s successful sessions related to geosimulation, were various topics and issues from across the urban, social and environmental fields and the resulting application areas. More excitingly, we are witnessing the emergence of the integration of cutting-edge techniques (e.g., machine learning and generative AI) which is energizing the geosimulation community as they offer new approaches for advancing geosimulations.
This year, the 2025 AAG Annual Meeting will take place in Detroit, Michigan from March 24 to March 28. We are continuing to organize sessions on "Geosimulations for Addressing Societal Challenges," and we encourage you to submit abstracts if this area aligns with your research interests.
Session Description:
We are particularly interested in presentations that will discuss issues relating to:
Next Steps:
There is an urgent need for research that promotes sustainability in an era of societal challenges ranging from climate change, population growth, aging and wellbeing to that of pandemics. These need to be directly fed into policy. We, as a Geosimulation community, have the skills and knowledge to use the latest theory, models and evidence to make a positive and disruptive impact. These include agent-based modeling, microsimulation and increasingly, machine learning methods. However, there are several key questions that we need to address which we seek to cover in this session. For example, What do we need to be able to contribute to policy in a more direct and timely manner? What new or existing research approaches are needed? How can we make sure they are robust enough to be used in decision making? How can geosimulation be used to link across citizens, policy and practice and respond to these societal challenges? What are the cross-scale local trade-offs that will have to be negotiated as we re-configure and transform our urban and rural environments? How can spatial data (and analysis) be used to support the co-production of truly sustainable solutions, achieve social buy-in and social acceptance? And thereby co-produce solutions with citizens and policy makers.
- Agent-based modeling and microsimulation techniques for responding to societal challenges;
- Agent-based models used for policy formation;
- Data driven modeling;
- Utilizing machine modeling for geosimulation;
- Creating really big models using exascale computation;
- Model validation and assessment;
- Participatory methods for agent-based modeling;
- Approaches to connect and share (open source) data and models;
- Revealing, quantifying, and reducing socio-economic inequalities with Geosimulation.
Next Steps:
If this sounds of interest, please e-mail the abstract and keywords with your expression of intent to Richard Jiang (njiang8@buffalo.edu) by October 29 (2 days before the AAG session deadline). Please make sure that your abstract conforms to the AAG guidelines in relation to title, word limit and keywords and as specified at: https://aag.secure-platform.com/aag2025/page/abstracts/abstract-guidelines An abstract should be no more than 250 words that describe the presentation’s purpose, methods, and conclusions.
- October 29, 2024: Please send abstract and keywords with your expression of intent to Richard Jiang (njiang8@buffalo.edu)
- October 30th, 2024: Session finalization and author notification
- October 31, 2024: Final abstract submission to AAG, via https://aag.secure-platform.com/aag2025. All participants must register individually via this site. Upon registration you will be given a participant number (PIN). Send the PIN and a copy of your final abstract to Richard Jiang. Neither the organizers nor the AAG will edit the abstracts.
- February 6, 2025: Final Abstract/Session Editing and Presentation Conversion deadlines for AAG, via https://aag.secure-platform.com/aag2025.
- March 24-28 2025: AAG in Detroit.
- Alison Heppenstall, University of Glasgow, Scotland.
- Andrew Crooks, University at Buffalo, USA.
- Na (Richard) Jiang, University at Buffalo, USA.
- Fuzhen Yin, University of Colorado, Colorado Springs, USA.
- Raja Sengupta, McGill University, Canada.
- Suzana Dragicevic, Simon Fraser University, Canada.
- Boyu Wang, University at Buffalo, USA.
- Sarah Wise, University College London, England.
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