no code implementations • 20 Jul 2023 • Roberto Corral López, Samir Suweis, Sandro Azaele, Miguel A. Muñoz
This introduces a natural new source of stochasticity which allows one to account for the empirically observed variability as well as to make predictions for the likelihood of evolutionary branching to be observed, thus helping to bridge the gap between theory and experiments.
no code implementations • 6 Jul 2023 • Samir Suweis, Francesco Ferraro, Sandro Azaele, Amos Maritan
The dynamics of species communities are typically modelled considering fixed parameters for species interactions.
no code implementations • 22 Oct 2021 • Meghdad Saeedian, Emanuele Pigani, Amos Maritan, Samir Suweis, Sandro Azaele
Finally, we introduce a measure of stability that holds for out of equilibrium dynamics and we show that in the oscillatory regime induced by the delay stability increases for increasing ecosystem diversity.
no code implementations • 1 Oct 2021 • Chengyi Tu, Paolo DOdorico, Zhe Li, Samir Suweis
The sustainable use of common-pool resources (CPRs) is a major environmental governance challenge because of their possible over-exploitation.
no code implementations • 2 Apr 2021 • Deepak Gupta, Stefano Garlaschi, Samir Suweis, Sandro Azaele, Amos Maritan
Finally, we analytically compute the distribution of the population sizes of coexisting species.
no code implementations • 28 Sep 2018 • Alberto Testolin, Michele Piccolini, Samir Suweis
Thanks to the availability of large scale digital datasets and massive amounts of computational power, deep learning algorithms can learn representations of data by exploiting multiple levels of abstraction.