Bertha Hernández Aguilar is an academic technician at the National Higher Studies School (ENES) Campus Mérida. She is geographer with a PhD in Sustainability Sciences from the National Autonomous University of Mexico (UNAM). Her lines of research are related to sustainable water management, vulnerability, urbanization and environmental conflicts. She has employed analysis methods such as mental models, networks and multi-criteria decision analysis. Bertha has collaborated in projects related to socio-hydrological risk: floods and water stress; land use change, and urban informality. She has also participated in environmental impact assessments in indigenous communities in northern Mexico, and in the last year has participated in projects in the Yucatan Peninsula on governance, coastal vulnerability, land use planning, and the perception of climate change. Bertha is a member of the Committee advisory of HWISE. She was attending to HWISE leadership workshop in Washington DC in May 2022.
Highlighted Work:
- Hernández Aguilar B., Lerner, A., Manuel-Navarrete, D. & Siqueiros-García JM. (2021): Persisting narratives undermine potential water scarcity solutions for informal areas of Mexico City: the case of two settlements in Xochimilco, Water International. Doi:10.1080/02508060.2021.1923179.
- Eakin, H., Parajuli, J., Hernández Aguilar, B., & Yogya, Y., (2021). Attending to the social-political dimensions of urban flooding in decision support research: A synthesis of contemporary empirical cases.WIREs Clim Change. 1-21. Doi: https://doi.org/10.1002/wcc.743.
- Bojórquez-Tapia, L. A., Eakin, H., Hernández-Aguilar, B., & Shelton, R. (2021). Addressing complex, political and intransient sustainability challenges of transdisciplinarity: The case of the MEGADAPT project in Mexico City. Environmental Development, 38, 100604. Doi: https://doi.org/10.1016/j.envdev.2020.100604.
- Siqueiros-García, J. M., Lerner, A. M., Eakin, H. C., & Aguilar, B. H. (2019). A standardization process for mental model analysis in socio-ecological systems. Environmental Modelling & Software, 112, 108-111. DOI: https://doi.org/10.1016/j.envsoft.2018.11.016.
Complete list of articles: https://0-scholar-google-com.brum.beds.ac.uk/citations?user=1ZzNXFoAAAAJ&hl=it