SOURCE-LINKED INTELLIGENCE

Neuroecological mechanisms linking heat and aggression risk

CORDIS · observation · Publication date unknown

re, using ecological momentary assessment and remote sensing (WP3). From these deeply phenotyped datasets we will identify subtypes of the heat-behavior link and their underlying neural basis using artificial intelligence (AI) (WP4). We will provide causal evidence for their relevance by targeting subtypes with real-world interventions in micro-randomized controlled trials and by prediction in newly recruited subjects (WP5). Based on this work, we will co-design globally applicable digital phenotyping tools linked to open source urban resource planning platforms for improving heat resilience (WP6). A range of cutting-edge approaches such as ultra-high field neuroimaging, real-world digital phenotyping, scientific machine learning and ecological momentary interventions make these innovations achievable. The project draws on extensive expertise, creates unique cohorts and datasets, and has a strong commitment to open science and coproduction to provide validated tools to mitigate heat effects on aggression.

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recordType

award

status

SIGNED

region

EU

value

2499261

unit

EUR