Education

Research Description

Dr. Berglund's research interests are in the development of new computational methodologies to explore the influence of feedbacks among social and infrastructure systems. Her research creates new socio-technical models by integrating Complex Adaptive Systems modeling approaches with engineering models to simulate feedback mechanisms and adaptive behaviors among consumers, infrastructure, and environmental systems. New Evolutionary Algorithm-based approaches are coupled with socio-technical models to identify optimal adaptive strategies for managing sustainability, security, and resilience of complex infrastructure and water resources systems. Specifically, she is exploring the sustainability of urban water supply and protection of human health in water contamination incidents. Dr. Berglund specializes in water management; water reclamation and conservation; water security; complex adaptive systems; agent-based modeling; evolutionary computation; human behavior; and social dimensions.

Publications

Modeling prevention behaviors during the COVID-19 pandemic using Bayesian belief networks and protection motivation theory

Vizanko, B., Kadinski, L., Cummings, C., Ostfeld, A., & Berglund, E. Z. (2024, March 14), RISK ANALYSIS, Vol. 3. https://doi.org/10.1111/risa.14287

Social distancing, water demand changes, and quality of drinking water during the COVID-19 pandemic

Vizanko, B., Kadinski, L., Ostfeld, A., & Berglund, E. Z. (2024), SUSTAINABLE CITIES AND SOCIETY, 102. https://doi.org/10.1016/j.scs.2024.105210

A sociotechnical framework to characterize tipping points in water supply systems

Berglund, E. Z., Skarbek, M., & Kanta, L. (2023), SUSTAINABLE CITIES AND SOCIETY, 97. https://doi.org/10.1016/j.scs.2023.104739

Agent-based modeling to assess decentralized water systems: Micro-trading rainwater for aquifer recharge

Bolton, E. R., & Berglund, E. Z. (2023), JOURNAL OF HYDROLOGY, 618. https://doi.org/10.1016/j.jhydrol.2023.129151

Customer complaint management and smart technology adoption by community water systems

DiCarlo, M., Berglund, E. Z., Kaza, N., Grieshop, A., Shealy, L., & Behr, A. (2023), UTILITIES POLICY, 80. https://doi.org/10.1016/j.jup.2022.101465

Digital Twins for Water Distribution Systems

Berglund, E. Z., Shafiee, M. E., Xing, L., & Wen, J. (2023), JOURNAL OF WATER RESOURCES PLANNING AND MANAGEMENT, 149(3). https://doi.org/10.1061/JWRMD5.WRENG-5786

A Hybrid Data-Driven-Agent-Based Modelling Framework for Water Distribution Systems Contamination Response during COVID-19

Kadinski, L., Salcedo, C., Boccelli, D. L., Berglund, E., & Ostfeld, A. (2022), WATER, 14(7). https://doi.org/10.3390/w14071088

A Sequential Pressure-Based Algorithm for Data-Driven Leakage Identification and Model-Based Localization in Water Distribution Networks

Daniel, I., Pesantez, J., Letzgus, S., Fasaee, M. A. K., Alghamdi, F., Berglund, E., … Cominola, A. (2022), JOURNAL OF WATER RESOURCES PLANNING AND MANAGEMENT, 148(6). https://doi.org/10.1061/(ASCE)WR.1943-5452.0001535

An Agent-Based Model for Contamination Response in Water Distribution Systems during the COVID-19 Pandemic

Kadinski, L., Berglund, E., & Ostfeld, A. (2022), JOURNAL OF WATER RESOURCES PLANNING AND MANAGEMENT, 148(8). https://doi.org/10.1061/(ASCE)WR.1943-5452.0001576

Can Common Pool Resource Theory Catalyze Stakeholder-Driven Solutions to the Freshwater Salinization Syndrome?

Grant, S. B., Rippy, M. A., Birkland, T. A., Schenk, T., Rowles, K., Misra, S., … Zhong, Y. (2022, September 14), ENVIRONMENTAL SCIENCE & TECHNOLOGY, Vol. 9. https://doi.org/10.1021/acs.est.2c01555

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