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of geospatial reasoning and map-based knowledge discovery. Your job Geographic questions like 'What is the potential for reducing urban heat in Amsterdam by installing green roofs on existing buildings
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Unlock how geographic data can answer complex societal questions: in this PhD you develop semantic and AI-driven models that transform diverse geodata into actionable answer maps. Join our ERC-funded
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shape the future of geospatial reasoning and map-based knowledge discovery. Your job Geographic questions like 'What is the potential for reducing urban heat in Amsterdam by installing green roofs
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into actionable answer maps. Join our ERC-funded GeoTrAnsQData project and help shape the future of geographic question answering. Your job Geographic questions like 'What is the potential to reduce urban heat in
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(e.g. safety, norms, networks) influence active lifestyles; develop and test physical activity and destination choice models, integrating data from sources such as sensors, surveys, Google Street View
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such cases, maps must be created or transformed from data rather than simply retrieved. The GeoTrAnsQData project addresses this by developing a GeoQA method that converts questions into executable geo
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choice models, integrating data from sources such as sensors, surveys, Google Street View imagery, and microdata (e.g. CBS Lifestyle Monitor, ODIN); use computational and AI-based modelling approaches