Matt Strimas-Mackey

Data Scientist

Expertise

Spatial Data Science • Data Visualization • Geographic Information Systems

I’m part of the eBird Status and Trends team where I use data contributed to eBird to understand spatial and temporal patterns of bird distribution and abundance. In addition, I develop tools, data products, and training materials to allow others to easily access and effectively use eBird data for scientific and conservation applications. I care deeply about bird conservation, community science, open source software, and open data, and my role at the Cornell Lab of Ornithology offers the perfect combination of these passions.

Education

M.S., Zoology, University of British Columbia
M.S., Physics, University of Toronto
B.S., Ecology, Guelph University
B.S., Physics, University of Toronto

Recent Publications

Schrimpf, M. B., P. G. Des Brisay, A. Johnston, A. C. Smith, J. Sánchez-Jasso, B. G. Robinson, M. H. Warrington, N. A. Mahony, A. G. Horn, M. Strimas-Mackey, L. Fahrig, and N. Koper (2021). Reduced human activity during COVID-19 alters avian land use across North America. Science Advances 7:eabf5073.
Johnston, A., W. M. Hochachka, M. E. Strimas-Mackey, V. Ruiz Gutierrez, O. J. Robinson, E. T. Miller, T. Auer, S. T. Kelling, and D. Fink (2021). Analytical guidelines to increase the value of community science data: An example using eBird data to estimate species distributions. Diversity and Distributions 27:1265–1277.
Keenan, E. L., K. J. Odom, M. Araya-Salas, K. G. Horton, M. Strimas-Mackey, M. A. Meatte, N. I. Mann, P. J. B. Slater, J. J. Price, and C. N. Templeton (2020). Breeding season length predicts duet coordination and consistency in Neotropical wrens (Troglodytidae). Proceedings of the Royal Society B: Biological Sciences 287:20202482.
Scholer, M. N., M. Strimas-Mackey, and J. E. Jankowski (2020). A meta‐analysis of global avian survival across species and latitude. Ecology Letters 23:1537–1549.
Robinson, O. J., V. Ruiz-Gutierrez, M. D. Reynolds, G. H. Golet, M. E. Strimas-Mackey, and D. Fink (2020). Integrating citizen science data with expert surveys increases accuracy and spatial extent of species distribution models. Diversity and Distributions 26:976–986.
Johnston, A., W. Hochachka, M. Strimas-Mackey, V. R. Gutierrez, O. Robinson, E. Miller, T. Auer, S. Kelling, and D. Fink (2019). Best practices for making reliable inferences from citizen science data: Case study using eBird to estimate species distributions. bioRxiv. https://doi.org/10.1101/574392
Rodewald, A. D., M. Strimas-Mackey, R. Schuster, and P. Arcese (2019). Tradeoffs in the value of biodiversity feature and cost data in conservation prioritization. Scientific Reports 9:15921.
Rodewald, A. D., M. Strimas-Mackey, R. Schuster, and P. Arcese (2019). Beyond canaries in coal mines: Co-occurrence of Andean mining concessions and migratory birds. Perspectives in Ecology and Conservation 17:151–156.
Rodewald, A. D., R. Strimas-Mackey, R. Schuster, and P. Arcese (2019). [In press] Beyond canaries in coal mines: Co-occurrence of Andean mining concessions and migratory birds. Perspectives in Ecology and Conservation.
Rodewald, A. D., M. Strimas-Mackey, R. Schuster, and P. Arcese (2019). [In Press] Tradeoffs in the value of biodiversity feature and cost data in conservation prioritization. Scientific Reports.
Johnston, A., T. Auer, D. Ardia, M. E. Strimas-Mackey, M. J. Iliff, K. V. Rosenberg, S. Brown, R. Lanctot, A. D. Rodewald, and S. Kelling (2019). [In Press] Performance of abundance distributions and range maps in spatial conservation planning for migratory species. Ecological Applications.
Matt Strimas-Mackey
Center Avian Population Studies
Projects eBird
Work607-254-2192
Email mes335@cornell.edu
Website Website

Don't miss a thing! Join our email list