Photo by João Paulo Krajewski
Biological, physical, technological, and social systems are formed by interacting units.
Network science allows one to explore the consequences of the patterns of interaction of these systems to different types of dynamics, such as information and innovation flow in societies, epidemics spreading, failure cascades in technological systems, commodity flow, disease development within organisms, and indirect effects in ecosystems. In this context, the main scientific problem we explore in our lab is how ecological interactions affect and are affected by evolutionary and coevolutionary dynamics.
We address this problem by integrating empirical data on ecological interactions, network science, and different types of evolutionary models. We also explore the consequences of network structure to other forms of dynamics, such as coextinction and population dynamics, and to other forms of networks at different levels of biological organization, from genes to ecosystems and its interactions with human populations.
If you want to know about our coevolutionary model, please refer to our introductory text with codes (in R) for simulations. Additional material about our models are available at Lucas Medeiros's github.
Our research program is based upon a network of collaborators around the world. We are deeply thankful for the opportunity of learning from these researchers. In the map below, nodes depict cities in which our collaborators or us are located. Links indicate that that at least a study was coauthored by researchers located in both cities.
Artwork by Rodolfo G. Batista