The sustainable future of humanity is predicated on a more sensitive and holistic approach to the relationships between natural, human, and artificial systems. EBESS pursues research that integrates physical, data, and reasoning systems with biological phenomena to develop healthier, sustainable and resilient solutions to both natural and built environments. Key research includes:
Draw on plants and microbial organisms in natural, urban, and indoor environments to remove pollutants in soil and water, improve air quality, and promote both psychological and physiological wellness.
Controlled Environment Agriculture
The world is seeing a rapid increase in the use of greenhouses and vertical farming technologies in urban environments, and climate change is accelerating interest in local, nutritious crop production. EBESS is developing plant sensing and LED lighting platforms that, when integrated with machine learning and artificial intelligence systems, will reduce the large energy footprint of these systems, connecting to urban systems for optimal, equitable distribution of produce.
Natural Environments and Data Systems
EBESS and Rensselaer researchers draw on sensor data and simulation coupled with traditional chemistry and biology testing and analysis works to understand, anticipate, and respond to the pressures of climate change and urban development such as road salt, invasive species and nutrient loading, and runoff in natural water bodies.