Environmental modeling helps improve the understanding of natural systems and how they react to changing conditions, such as exposure to hazardous substances and the temporal and dose effects from the exposure. Environmental modeling deals with representation of processes that occur in the real world in space and time. The processes that transform the environment through time are mostly described by dynamic models based on differential equations. Environmental modeling may be used purely for research purposes and improved understanding of environmental systems or for providing an interdisciplinary analysis that can inform decision making and policy.
Visit The Institute for Environmental Modeling (TIEM) at UT.
| Paul Armsworth ||Ecology & Evolutionary Biology||Applications of mathematical modeling, statistics and optimization to inform conservation of biodiversity and the management of ecosystem services|
| Michael J. Blum||Ecology & Evolutionary Biology||Aquatic ecology, socioecology, sustainability, conservation biology|
| Louis Gross ||Ecology & Evolutionary Biology; Mathematics||Mathematical ecology. Director, NIMBioS; Director, The Institute for Environmental Modeling (TIEM)|
| Yetta Jager ||Ecology & Evolutionary Biology; Environmental Sciences Division, Oak Ridge National Lab||Quantitative ecology, hydropower, conservation biology|
| Nicholas Nagle||Geography||Spatial statistics and demography|
| Shih-Lung Shaw ||Geography||Transportation, GIS, space time analytics, human dynamics|