Trace of change: How stigmergy maps social learning loops in Companion Modeling through participatory simulation
F. Vendel, O. Zaitsev, P. Bommel, I. Touré, J. Cesaro, P. Diop, M. Fall Ba, T. Mbaye, E. Delay — Journal of Environmental Management
Oleksandr Zaitsev
Computer Science Researcher
Participatory modelling · Serious games · Scientific software
CIRAD · UMR SENS · Montpellier, France
I work on computational tools and participatory approaches for studying socio-ecological systems, with a particular interest in simulation, serious games, and scientific software as research infrastructure.
Academic profile at a glance
A compact view of position, research scope, and academic activity.
- Position
- Permanent Researcher
- Institution
- CIRAD, UMR SENS
- Research focus
- Participatory modelling, agent-based modelling, serious games, and software engineering for scientific tools
- Software and infrastructure
- Cormas and related research software ecosystems
- Academic work
- Publications, supervision, scientific collaborations, and community leadership
- Collaborative scope
- Interdisciplinary work across computer science, modelling, and environmental research
Selected publications
Research outputs presented as a formal publication list.
Deprewriter: On the fly rewriting method deprecations
S. Ducasse, G. Polito, O. Zaitsev, M. Denker, P. Tesone — The Journal of Object Technology
What do developers consider magic literals? A Smalltalk perspective
N. Anquetil, J. Delplanque, S. Ducasse, O. Zaitsev, C. Fuhrman — Information and Software Technology
Towards Exploratory Data Analysis for Pharo
O. Zaitsev — International Workshop on Smalltalk Technologies
Selected projects
Portfolio entries for software systems, platforms, and research-linked infrastructure.
Cormas
Agent-based modelling platform for participatory simulation and companion modelling.
Planet-C
Research and tooling around serious games, data, and participatory environmental exploration.
Recent writing
Occasional notes, reflections, and field-oriented writing.
Field notes from Madagascar
Reflections on workshops, context, and the practical realities of modelling with people.
Scientific software is research infrastructure
A reminder that scientific software should be treated as durable infrastructure rather than disposable code.