Emily Berglund
Emily is an associate professor in the Department of Civil, Construction, and Environmental Engineering. Her research investigates sociotechnical systems, which are systems in which human decision-making affects resource availability and infrastructure performance, while feedback loops from resource and infrastructure systems affect human decisions. Emily is an expert in the development of agent-based models of sociotechnical systems to simulate feedback mechanisms and adaptive behaviors among consumers, infrastructure, and environmental systems. Her research also explores optimization models and algorithms to manage the sustainability, security, and resilience of complex infrastructure systems. She specializes in water management, water reclamation and conservation, water security, complex adaptive systems, agent-based modeling,evolutionary computation, human behavior, and social dimensions.
Roles
Publications
- Optimization framework to identify demand reduction strategies for shared groundwater resources (2017)
- Complex adaptive systems framework to simulate the performance of hydrant flushing rules and broadcasts during a water distribution system contamination event (2017)
- Agent-based modeling to simulate the dynamics of urban water supply: Climate, population growth, and water shortages (2017)
- Coupling agent-based and groundwater modeling to explore demand management strategies for shared resources (2016)
- Exploring strategies for LID implementation in marginalized communities and urbanizing watersheds (2016)
- Cellular automata modeling framework for urban water reuse planning and management (2016)
- Public perceptions of water shortages, conservation behaviors, and support for water reuse in the US (2016)
- Agent-based modeling and evolutionary computation for disseminating public advisories about hazardous material emergencies (2016)
- Parallel evolutionary algorithm for designing water distribution networks to minimize background leakage (2016)
- Exploring tradeoffs in demand- side and supply- side management of urban water resources using agent- based modeling and evolutionary computation (2015)