Project cooperationUpdated on 14 July 2026

xAI applications related to energy, food, water systems related to climate change

Prof. Dr. at Kadir Has University

Istanbul, Türkiye

About

Explainable Artificial Intelligence (xAI) is transforming the way climate-related challenges are addressed by providing transparent, interpretable, and trustworthy AI models for decision support. Unlike conventional "black-box" machine learning approaches, xAI enables users to understand the reasoning behind predictions and recommendations, making AI solutions more acceptable to policymakers, infrastructure operators, researchers, and the public.

Stage

  • Proposal under preparation

Topic

  • G3-Products and Processes Engineering: Product design, process design and control, construction methods, civil engineering, energy processes, material engineering
  • V1-Environment and society
  • V2-Earth system science

Type

  • Looking for Parners

Organisation

Kadir Has University

University

Istanbul, Türkiye

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    Omid Hassanshahi

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  • Expertise

    Expertise in Digital Water Systems, AI and Hydraulic Modelling

    • V1-Environment and society
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    Nelson Carriço

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    Research on renewable energy: Hydrogen technology and catalytic processes

    • C1-Inorganic Chemistry
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    Julian Atilio Puszkiel Saldivar

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