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Eduardo Mario Mendiondo

CV Lattes ResearcherID ORCID Google Scholar Citations

Universidade de São Paulo (USP). Escola de Engenharia de São Carlos (EESC)  (Institutional affiliation for the last research proposal)
Birthplace: Argentina

BEng Water Resources (FICH/UNL, Argentina), M Sc and PhD in Water Resources (IPH/UFRGS, Brazil) and BMBF Senior Postdoc at CESR/Univ Kassel, Germany, Mendiondo has recognized experience as a science-policy expert on hydrology and humanitarian engineering for Water Disaster Risk Reduction and Resilience (WDR3), acting with multidisciplinary teams on: Prediction in Ungauged Basins (PUB), Observations from Under-Represented Sensors (OURS), Unsolved Problems in Hydrology (UPH), linking WDR3 to social memory and citizen science through the Socio-Hydrological Observatory for Water Security (SHOWS). His interests focus on empirical, numerical and hybrid approaches to water-social inequalities, co-evolution, patterns, feedbacks and paradoxes , with WDR3-SHOWS modules linked to: Sendai?s DRR, Paris? COP21, IPCC, and UN Sustainable Development Goals (SDGs). With international science networks from North America, Europe, Asia and Africa, he promoted WDR3-SHOWS? studies for Brazilian and Latin America?s water aging infrastructure, coping with floods, droughts, landslides, tropical diseases, social inequality and economic affordability. After participating through science-knowledge transfer with CEMADEN (Nat Centre for Monitoring & Alerts of Natural Disasters), INCLINE and Joint Research Centre/Ispra, Italy, he envisioned PUB, OURS and WDR3-SHOWS for a wide spectrum of adapting tools, with hard and soft techniques of Low Impact Development (LID or SUDS) transformed into: Life-Cycle Analysis (LCA), AI-based insurance for non-stationary drivers and IPCC?s composite impacts from multi-hazards and multi-risks. During 2019-2023 he is leading projects of FAPESP/SPRINT Water-Health-Resilience (BR/UK), FAPESP-3rd Generation of LID/LCA Water Facilities, FAPESP UK Acad on Social Resilience, Peoples? Memory & Enigmas. Also, he is Principal Investigator of the Water Security subcomponent of 2017-2023 FAPESP/CNPq/CAPES National Institute of Science & Technology on Climate Change-Phase 2 (INCTMC2), leaded by CEMADEN/MCTIC; he is Associated Investigator of the 2018-2023 FAPESP/CEPID Research Centre for Innovation and Communication on Applied Maths for Industry (CEPID/CeMEAI-Phase 2), leaded by ICMC/USP and is Assoc. Investigator of the proposed 10-year IBM/FAPESP Centre for Artificial Intelligence. He is the Chairperson of the CAPES School of Advanced Studies on Water and Society Under Change, with open lectures available to the wide public through social media on Youtube©, Facebook©, and Twitter©. He is Associated Coordinator of the Interdisciplinary Centre for Climate Instigation (INCLINE/USP). Elected Science Coordinator of the Sao Paulo Centre for Education and Research of Disasters (CEPED/SP), supporting the 2019-2035 Braz. Water Security Plan. Since the 2004 Indonesia/Aceh disaster, when acted as a DPRI/Kyoto Visiting Scholar, until his 2014-2016 CEMADEN R&D Coordinaton, he has promoted SHOWS-OpenLabs to cope with risks in 1,000 municipalities and 40,000 Brazilian Risk Prone Areas (BRPAs). He has served as author-fellow of theMillennium Ecosystem Assessment?s, further adapting WDR3 plans for the APFM/WMO, the UNESCO-IHP and the World Bank. He is invited for the Int Flood Initiative and for IAHS? groups: 2019/2021 Panta Rhei (?Everything flows?) Biennium, MOXXI (Measurements & Observations of the XXI Century), Citizen and Hydrology (CandHy) and Water Footprint Regional Studies for BRPAs. He is ad-hoc a Water Security Advisor of AmBEV Co and FIESP (Sao Paulo's Federation of Industries), CNPq, CAPES, FINEP and FAPESP. He has engaged vulnerable communities using Participatory Water Resilience Indices (PWRI) and Willingness-to-Adapt (WtA) metrics. Through hybrid learning methods called PET (Praxis, Empiricism and Theory), he performs as a social agent with: ?digital water?, Artificial Intelligence (AI), big data analytics (BDa), SDG?s multicriteria attainment optimization, MOXXI pre-screening, CandHy?s volunteer geographic information (VGI) systems, (Source: Lattes Curriculum)

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