ERDC Cognitive Ecology & Ecohydraulics Team   R. Andrew Goodwin, Ph.D. Research Environmental Engineer I am an engineer focused the last 10+ yrs on studying how the mathematics of animal behavior (cognition) can be integrated into engineering models, such as hydraulic, water quality, and terrain tools. My work includes analyzing/forecasting 3-D movement behavior and passage patterns of fish, such as juvenile Pacific salmon at Snake and Columbia river hydropower dams, analyzing the movement behavior of upstream-migrating adult Pacific salmon in Puget Sound, and network analysis of swarm (collective behavior) dynamics.   David L. Smith, Ph.D. Research Biologist I am a biologist focused on how habitat restoration tools can be developed through an integration of animal behavior (cognition) and engineering models, such as hydraulic, water quality, and terrain tools. I am presently leading the development of the USACE Cognitive Ecology Research Flume, where our team will use a combination of modeling and laboratory experiments to better understand animal (e.g., aquatic species) response to complex environments.   Bertrand Lemasson, Ph.D. Research Ecologist I am an ecologist interested in conservation biology, community ecology, and the adaptive benefits of social behavior. My research focuses on determining how environmental and social conditions can interact to influence the movement patterns of individual animals. I use a combination of modeling and laboratory experiments to address my questions. I am currently working on two different modeling projects: 1) testing habitat selection models for fish in riverine ecosystems and 2) exploring the effect of behavioral heterogeneity on social information transfer in animal groups.   Eric Dimperio, Ph.D. Cognitive Scientist I am a cognitive scientist who originally began in computer science, but turned toward studying human psychology. I primarily work with computational models of various cognitive processes such as decision making and learning. My research focuses on bringing such models out of the laboratory and augmenting them to better explain behaviors observed in the real world.