We are broadly interested in forecasting the future state of ecological systems, both to provide actionable information about how these systems will change and to assess how well models capture the key information about how ecological systems operate. As part of this effort we are working to make forecasts in automated iterative ways so that the forecasts are automatically updated and evaluated as new data is collected. Current projects include:
E. P White, G. M Yenni, S. D Taylor, E. M Christensen, E. K Bledsoe, J. L Simonis, S. Morgan Ernest. Developing an automated iterative near-term forecasting system for an ecological study. MEE, 2018.