Individuals who want to be listed as an EFI member can fill out this form where you will be asked to provide your name, photo, email, social media, and a short, 1 sentence synopsis of what you’re working on. If you have a near-term forecast project you want to have highlighted you can also create a profile for the project using the same form.
At the moment there are no formal requirements for membership, but we encourage members to be active participants in EFI working groups and discussion boards. Members should be interested in building the community of practice around near-term ecological forecasts.
Utah State University
Peter examines how species interactions mediate the impact of climate change on plant communities and if plant functional traits can predict population and community dynamics.
Cayelan integrates high-frequency sensor data and ecosystem models to generate water quality forecasts that predict a suite of freshwater ecosystem services.
University of Arizona
Andy studies the terrestrial carbon cycle, from leaf to global scales, and over time periods from seconds the millennium with a focus on how to improve ecological forecasts using different types of observations and data assimilation techniques.
Leah R Johnson
Leah develops statistical methods to integrate data into complex biological models, particularly applied to understanding how climate change will impact the transmission of vector-borne infections. Interests: Theory, Decision Science, Methods, Cyberinfrastructure, Education, Knowledge Transfer
University of Maryland
Melissa's research broadly addresses how to integrate both scientific knowledge and societal values into policy decision-making under uncertainty.
Stony Brook University
Heather works on the MAPPPD project which calculates occupancy probabilities and presents graphical output which projects how penguin populations will change in the future.
Abraham is working to build a hybrid elastic edge-cloud infrastructure to support repeatable ecological research. Interests: Cyberinfrastructure
University of Notre Dame
Jason is using experiments, paleo observations, model prediction, and prior studies in a Bayesian assimilation framework strengthen predictive forecasting of salt marshes.
University of Zurich
Owen and his team at the University of Zurich research fundamental issues of ecological predictability mostly by experimentation with model microbial ecosystems. Interests: Theory, Methods, Cyberinfrastructure, Education
Emily is the Chief of Web Communications for the United States Geological Survey Water Resources Mission. She is responsible for the digital delivery of water data and information in accessible, discoverable, and interoperable formats.
Nicholas R Record
Bigelow Laboratory for Ocean Sciences
Ecosystem forecasting based on citizen and civic science. Interests: Theory, Decision Science, Methods, Cyberinfrastructure, Education, Knowledge Transfer
Quinn works to predict the future of forest and freshwater ecosystems by combining observations and ecosystem models using statistical techniques.
University of Georgia
Andrew is developing a new approach to making population forecasts at the landscape scale using remotely-sensed time series of plant abundance.
Volodymyr is working on establishing a data assimilation system to link various datasets with different spatial and temporal resolutions into a format that allows for quality cross-checks and makes best use of available data at the Swiss scale. Interests: Methods, Cyberinfrastructure, Education
Università di Milano, DISAA
Giorgio's research focuses on forest response to management under climate change and natural disturbances. Interests: Decision Science, Methods, Knowledge Transfer
Jake is the Executive Director of the USA National Phenology Network which manages phenology data from various sources and predicts when species will undergo a phenological transition at particular locations.
University of Florida
Michigan State University
Elise works on estimating population distributions and demographics and how those processes might be altered with changing environmental and climate conditions. Interests: Theory, Methods, and Education
John is focused on (1) developing accessible software protocols and tools for data visualization - prior and post an ecological forecast, (2) applying mathematical and statistical methods for data assimilation and ecological forecasts, and (3) developing the first two with a keen eye for undergraduate interdisciplinary education, primarily focused through the lens of undergraduate mathematics. Interests: Methods, Education