Relevant areas may include population dynamics, species interactions, community assembly, eco-evolutionary dynamics, ecoinformatics, spatial and temporal dynamics, ecological networks, phylogenetics, biodiversity change, and ecological responses to environmental change. Approaches may include mathematical and statistical modeling, machine learning, artificial intelligence, simulation, causal inference, ecological forecasting, biodiversity informatics, remote sensing, or integrating large, heterogeneous biological datasets.