Data-intensive ecology

Project Co-Leads: Patricia Soranno and Kendra Spence Cheruvelil


Kevin Elliott, Lyman Briggs College and Department of Fisheries & Wildlife

Georgina Montgomery, Lyman Briggs College and Department of History

Isis Settles, Department of Psychology

Pang-Ning Tan, Department of Computer Science & Engineering

Devin Higgins, MSU Library

Eric Tans, MSU Library

Graduate students and Post-docs:

Caren Scott, Department of Fisheries and Wildlife

Claire Gonyo, Department of Psychology

We are collaborating with several MSU faculty from different disciplines to study a range of emerging challenges facing scientists conducting data-intensive research. Many of the common practices, or norms, of science were developed in a time that is very different from today. We are studying the rapid changes occurring today to determine how they might affect the environmental sciences.  Such study requires knowledge, perspectives, and approaches from a range of disciplines, including philosophy of science, social psychology, history of science, and science itself. Thus, our interdisciplinary research team is using all of these perspectives to study four important lines of inquiry: (1) How data-sharing facilitates an inclusive science culture; (2) How diverse science teams contribute to ethical behaviors; (3) How ‘big data’ is changing the culture and norms of environmental science; and (4) How to train the next generation of environmental scientists for interdisciplinary team-based data-intensive research. We have published an article in Bioscience on ‘data sharing’, and are currently working on several other efforts.

Funding sources: National Science Foundation, MSU-Science Studies @ State program (S3

Additional information: