EquariusAI is the only commercial water-risk platform built directly on top of a body of refereed research from the University of Michigan and partner institutions. Below is a selected list of finance, water-risk, ESG, and infrastructure-finance publications by Peter Adriaens and colleagues that form the methodological foundation of waterBeta®, GBRI™, and the Drought AI Engine.
Active pipeline of publications — the immediate scientific spine of waterBeta® v2 and the Drought AI Engine.
Foundational empirical work on climate-financial premia, ESG cost-of-capital effects, and the water/bond pricing channel that underpins waterBeta®.
Methodological extensions — blockchain rails, environmental impact bonds, hedonic pricing of environmental liabilities, and digital infrastructure finance.
The original work that defined business water risk as a financial — not a sustainability — concept. The intellectual headwaters of the platform.
U.S. Provisional Application No. 62/656,627. Adriaens, 2017.
Adriaens, 2014.
Adriaens, Freedman, Marr (2013).
Adriaens, 2017.
Adriaens & Faley, 2011–2012. Data-driven business design and positioning tools.
Adriaens, Tahvanainen, Haeuselmann (2016).
Talk to Peter directly — or request the full investor research dossier including the orthogonalization derivation and the WIPS imputation validation curves.
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