-
Jessica Graybill (Geography and Russian & Eurasian Studies) and her collaborators have received a one-year award of $37,430 for their project. This project will explore how carbon fluxes vary on or near tracks, how the tracks vary in density and distribution and how their presence interacts with nearby human communities.March 25, 2016
-
Ahmet Ay (Biology and Mathematics) and his collaborator have been awarded $107,392 for their project. This project will combine computational methods for modeling large-scale systems with molecular perturbation techniques in the laboratory to pin down the gene regulatory circuit controlling segmentation of the vertebrae disks during embryonic development.March 25, 2016
-
Tim McCay and Damhnait McHugh (Biology) and Ahmet Ay (Biology and Mathematics) have received a two-year award of $152,907 for their project. This project will integrate fieldwork, lab experiments, molecular analyses, and mathematical modeling to reveal the life history and physiological tolerances of these earthworms, reconstruct their historical invasion of North America, and make predictive statements about their spread and impact.March 25, 2016
-
The institute is awarding a second year of funding to Jonathan Levine (Physics and Astronomy) and his collaborators. The funded research would allow Levine鈥檚 team to develop techniques for identifying the minerals that they are dating, so as to optimally interpret the age data they obtain.March 25, 2015
-
Jonathan Levine (Physics and Astronomy) and his collaborators received a one-year award for their project. Their research goal is to increase understanding of the timing and timescales of Mars鈥檚 global climate change by estimating the ages of Martian rocks using a novel mass spectrometer.March 26, 2014
-
Krista Ingram (Biology) and her colleagues received a two-year award for their project. The research team will integrate genetic analyses with psychological measures and behavioral tasks to investigate how an individual鈥檚 cognitive performance (e.g., standardized exams) and risk preferences (e.g., decision-making tasks) are related to the time the task is performed, an individual鈥檚 genotype, and gene expression profiles.March 26, 2014