Emily Berglund
Professor
Forecasting Landscape and Environmental Change, Water Infrastructure Systems
Civil, Construction and Environmental Engineering
Bio
Emily uses geospatial analytics to investigate the spatial character of socio-technical systems, in which human decision-making affects resource availability and infrastructure performance as resource and infrastructure systems affect human decisions. She develops agent-based models of sociotechnical systems to simulate feedback mechanisms and adaptive behaviors among consumers, infrastructure, and environmental systems. Her interests include optimization models and algorithms to manage the sustainability, security, and resilience of complex infrastructure systems––particularly those managing household water, stormwater, and solar power.
Publications
- An Agent-Based Modeling Approach to Assess the Social Equity Impacts of Dynamic Pricing Forurban Water Management , (2024)
- An Agent-Based Modeling Approach to Assess the Socio-Economic and Social Equity Impacts of Dynamic Pricing in Residential Water Management , World Environmental and Water Resources Congress 2024: Climate Change Impacts on the World We Live In - Proceedings of the World Environmental and Water Resources Congress 2024 (2024)
- An Agent-Based Modeling Perspective of Bio-Mediated Ureolysis , Geo-Congress 2024 (2024)
- Designing and Deploying Internet-of-Things-Enabled Water Diaries to Observe Personal End Uses , World Environmental and Water Resources Congress 2024: Climate Change Impacts on the World We Live In - Proceedings of the World Environmental and Water Resources Congress 2024 (2024)
- Dynamic Pricing Framework for Water Demand Management Using Advanced Metering Infrastructure Data , WATER RESOURCES RESEARCH (2024)
- Equity and modeling in sustainability science: Examples and opportunities throughout the process , PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA (2024)
- Estimating Residential Outdoor Water Use with Smart Water Meter Data , World Environmental and Water Resources Congress 2024: Climate Change Impacts on the World We Live In - Proceedings of the World Environmental and Water Resources Congress 2024 (2024)
- Machine Learning Models to Predict Early Breakthrough of Recalcitrant Organic Micropollutants in Granular Activated Carbon Adsorbers , Environmental Science & Technology (2024)
- Modeling a game to shift peak water demands: WaterTime leaderboard , JOURNAL OF CLEANER PRODUCTION (2024)
- Modeling prevention behaviors during the COVID-19 pandemic using Bayesian belief networks and protection motivation theory , RISK ANALYSIS (2024)