Paul Valcke

Paul is a post-doctoral researcher and Complexity modeler in systemic sustainability.
After a Ph.D. in interdisciplinary physics, studying the self-organization of biological organisms and their acclimation to their perceived environment, he is focused on the organization of the economic structure and its relation with itself and its environment. Using tools and concepts from complexity science and dynamical systems, he develops macroeconomic models on a physical core, designed to take the physical properties of the economy, environmental impact and feedback, and antagonist behaviors.
That work is applied to study inequality dynamics, economic instabilities induced by climate change, the feasibility of economic transition due to the productive system and resource depletion to determine the path toward a just sustainable transition, between citizens of the same country, between countries, and between humanity and our biological world.

You can find more on our modeling approach and work here: (new window)
Paul\’s GitHub repository (developed software and numerical codes for simulations): (new window)


Recent talks and public presentations 
  • CompleNet2023, Aveiro Portugal: Bringing production networks to self-organized macroeconomic models: core properties and extensions. 27/04/23
  • ENS Biology department, Lyon: growth processes and partial acclimation, from Gorgonia ventalina to an economy in its environment. 18/04/23
  • Steep, Grenoble: Economic monosectoral efficiency, sustainability matrix and systemic risks in a self-organized economy, 17/04/23
  • LIED, Paris: Thermodynamical coupling of a biophysical environment to a complex economic structure: endogenization and destabilization. 13/04/23
  • Laboratory MSC, Paris: Universality in biophysical reticulated spatial network with primary growth, from G. ventalina to cities. 13/04/23
  • Econophysi’X, Paris: Complexity macroeconomics models for ecology: from Goodwin to physical multisectoriality 11/04/23
  • Rencontres du non-lineaire, France: Modélisation stock-flux d’une économie multi sectorielle auto-organisée 28/03/23
  • Massive Data Institute,Washington DC: Using complexity concepts to make better economic models A system dynamics approach to macroeconomics ecology 23/02/23
  • Emergent Ethics Network,Washington DC: Construction and role of models for macroeconomic ecology in the XXI century: ethics, blindspots, and biases 22/02/23
  • Archipel, Grenoble: L’économie dans l’environnement, des concepts aux données : une modélisation sous contrainte(s) 22/06/22 
  • Ecological Macroeconomic ISEE conference, Pisa: The econophysical production organism, 16/06/22
  • Looping Network, Hybrid: Pyskelways : a python library to analyze spatial reticulated networks 21/05/22 
  • French Embassy,Washington DC: Macroeconomy for sustainability: bringing the dialogue between disciplines through complexity models, 10/10/21
  • Sustainability Institute, Stellenbosh (SA): Complexity modelling for just transition : macroeconomics and inequalities, 21/09/21