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I am a researcher in computational policy modelling and AI Governance Lead at City Business AI (Traavu Ltd). I build agent-based models that test how a policy distributes access, delay and protection across a real population, including IPS-England, a model of England’s SEND identification and assessment pathway, and the GRID Observatory, on safeguarding underreporting in specialist SEND schools. My path runs through investigative journalism, health data infrastructure at Orodata Science in Nigeria, and practice in specialist SEND education. I am a UKRI Future Leaders Fellowship nominated candidate hosted at Leeds Beckett Law School.
Computational modelling of public policy; statutory process design; access to special educational needs provision in England and Nigeria; safeguarding and underreporting; conditions for human oversight in AI governance; simulations that the people affected by a policy can use and question.
Tuul Triyason is an Assistant Professor at the School of Information Technology, King Mongkut’s University of Technology Thonburi (KMUTT), Thailand. He holds a B.Sc. in Physics from Mahidol University and M.Sc. and Ph.D. degrees in Information Technology from KMUTT. His research and teaching focus on cybersecurity and computer networks. He serves as an IT consultant to multiple Thai government agencies, including the Thai Customs Department, the Department of Land Transport, the Office of the Attorney General, and the Department of Foreign Trade. His research interests include public sector IT procurement policy, digital infrastructure governance, and anti-corruption in government IT investment.
Computer network, Network Security, Cybersecurity, Computational model, Identity Management, Blockchain, VC-DID
My research focuses on building a systemic understanding of coupled human-natural systems. In particular, I am interested in understanding how patterns of land-use and land-cover change emerge from human alterations of natural processes and the resulting feedbacks. Study systems of interest include those undergoing agricultural to urban conversion, typically known as urban sprawl, and those in which protective measures, such as wildfire suppression or flood/storm impact controls, can lead to long-term instability.
Dynamic agent- and process-based simulation models are my primary tools for studying human and natural systems, respectively. My past work includes the creation of dynamic, process-based simulation models of the wildland fires along the urban-wildland interface (UWI), and artificial dune construction to protect coastal development along a barrier island coastline. My current research involves the testing, refinement, extension of an economic agent-based model of coupled housing and land markets (CHALMS), and a new project developing a generalized agent-based model of land-use change to explore local human-environmental interactions globally.
Independent researcher working on complex systems, agent-based modeling, emergence, network dynamics, and computational social science. Author of the agent-based model “From Boundary Crossings to Global Connectivity: A Minimal Mechanism in Structured Agent-Based Landscapes” (arXiv:2606.07344).
Complex systems; Agent-based modeling; Computational social science; Emergence; Network formation; Stochastic processes; Collective dynamics.
Dissertation: Narrative Generation for Agent-Based Models
Abstract: This dissertation proposes a four-level framework for thinking about having agent-based models (ABM) generate narrative describing their behavior, and then provides examples of models that generate narrative at each of those levels. In addition, “interesting” agents are identified in order to direct the attention of researchers to the narratives most likely to be worth spending their time reviewing. The focus is on developing techniques for generating narrative based on agent actions and behavior, on techniques for generating narrative describing aggregate model behavior, and on techniques for identifying “interesting” agents. Examples of each of these techniques are provided in two different ABMs, Zero-Intelligence Traders (Gode & Sunder, 1993, 1997) and Sugarscape (Epstein & Axtell, 1996).
I am a PhD candidate in machine learning and cybersecurity, in the mean time I am also the laboratory director of the AI Testing Laboratory of CLR Labs where I work with a beautiful team of passionate and brilliant people on evaluating neural networks from robustness to system’s cybersecurity and explainability, I am based in the Marseille area, between sea, mountains and buildings.
I am a proud husband, father of one and son.
I study how deep models break and how to make them unbreakable — adversarial robustness, model security, and the geometry of learned representations applied to cyber threats.
Ronja Hotz is a PhD student in the Land Use Change & Climate Research Group at the Karlsruhe Institute of Technology, where she has been working since August 2023. Her research focuses on understanding and modelling the social processes underlying land use change using agent-based modelling, with a particular emphasis on the CRAFTY framework. She holds a Bachelor’s degree in Physics from Freie Universität Berlin and a Master’s degree in Theoretical Physics from Technische Universität Berlin.
Prior to her PhD, she worked at the Potsdam Institute for Climate Impact Research, where she implemented a generic decision-making layer for land managers in agent-based socio-ecological models. The framework was analysed in a stylised model to investigate emergent dynamics and critical transitions and was subsequently integrated into the InSEEDS model, which simulates the adoption of conservation agriculture at regional to global scales.
Agent-based modelling; socio-ecological systems; land use change; human decision-making and behaviour; social norms and learning; spreading processes on complex networks; critical transitions and social tipping dynamics for sustainability transformations.
Researcher at LASTIG lab (https://www.umr-lastig.fr)
Agent based modeling and simulation for social sciences
Model exploration
I am currently enrolled as a graduate student at UC3M, working towards a MS degree in Computational and Applied Mathematics. Upon completing my current program, my intention is to further my education in Applied Economics, with a specific focus on the intersection of Climate and Development Economics.
My research pursuits center around investigating the impacts of climate change on developing nations. Additionally, I am interested in studying the repercussions of fast fashion consumption, examining its effects on working conditions, the environment, and the overall well-being of individuals in the countries where these garments are manufactured. In my ongoing master’s thesis, I employ Agent-Based Modeling to simulate the attitudes of individual consumers towards fast fashion. The model captures behavioral shifts influenced by peers, social media, and governmental factors. This research aligns with my broader interests in comprehending public perspectives on global matters, underscoring the crucial influence of individual attitudes in confronting and finding solutions to these challenges.
Development Economics, Environmental Economics, Sustainability, Environment, Climate change, Climate justice, Energy, Clean Energy, Renewable Energy, Complex systems
I am an anthropologist from the Universidad Nacional de Colombia. I am interested in ethnomusicology, art, and complex systems, especially socio-ecological. I want to understand how cultural expressions and social rules are part of a more complex system and how they are intertwined with other non-human behaviors
I am interested in modeling socio-ecological systems. I am currently working on the implementation of a seed-exchange model for understanding the role of some kinship patterns (locality and seed heritage rules) in agrobiodiversity.
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