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#geoai — Public Fediverse posts

Live and recent posts from across the Fediverse tagged #geoai, aggregated by home.social.

  1. The Importance Of Trusted [spatial] Data In The Real World - And How Geovation Is Evolving
    --
    ordnancesurvey.co.uk/blog/how- <-- shared technical/overview article
    --
    geovation.uk/ <-- shared Geovation home page
    --
    H/T @gareth Sumner | Head of Geovation, Leading innovation, connecting innovators with real world problems and championing design thinking
    “… How can technology 👨‍💻 create meaningful impact in the real world? 🌍
    Today that question feels more relevant than ever.
    While much of the conversation around AI focuses on digital tools and experiences, what I really care about is its potential to improve outcomes in the physical world.
    That's where trusted, foundational data becomes critical – and it has become our north star as Geovation continues to evolve…”
    --
    “Geovation is Ordnance Survey (OS)'s innovation programme, pioneered more than 15 years ago to foster a geospatial ecosystem for startups to solve real world challenges. Now its head, Gareth Sumner, considers the importance of trusted data and AI in today's world and how Geovation is evolving into a national data innovation and impact lab: a place where government data, entrepreneurial talent and real-world challenges come together…”
    #Geovation #AI #machinelearning #innovation #usecase #appliedscience #AI #GeoAI #geospatialecosystem #startups #industrysupport #data #realworld #UK #LocationTech #SpatialInnovation #MappingTheFuture #TechStartups #InnovationHub #Entrepreneurship #FoundersUK #GIS #spatial #mapping #BritainMapped #MadeInUK
    @OrdnanceSurvey | @Geovation

  2. The Importance Of Trusted [spatial] Data In The Real World - And How Geovation Is Evolving
    --
    ordnancesurvey.co.uk/blog/how- <-- shared technical/overview article
    --
    geovation.uk/ <-- shared Geovation home page
    --
    H/T @gareth Sumner | Head of Geovation, Leading innovation, connecting innovators with real world problems and championing design thinking
    “… How can technology 👨‍💻 create meaningful impact in the real world? 🌍
    Today that question feels more relevant than ever.
    While much of the conversation around AI focuses on digital tools and experiences, what I really care about is its potential to improve outcomes in the physical world.
    That's where trusted, foundational data becomes critical – and it has become our north star as Geovation continues to evolve…”
    --
    “Geovation is Ordnance Survey (OS)'s innovation programme, pioneered more than 15 years ago to foster a geospatial ecosystem for startups to solve real world challenges. Now its head, Gareth Sumner, considers the importance of trusted data and AI in today's world and how Geovation is evolving into a national data innovation and impact lab: a place where government data, entrepreneurial talent and real-world challenges come together…”
    #Geovation #AI #machinelearning #innovation #usecase #appliedscience #AI #GeoAI #geospatialecosystem #startups #industrysupport #data #realworld #UK #LocationTech #SpatialInnovation #MappingTheFuture #TechStartups #InnovationHub #Entrepreneurship #FoundersUK #GIS #spatial #mapping #BritainMapped #MadeInUK
    @OrdnanceSurvey | @Geovation

  3. The Importance Of Trusted [spatial] Data In The Real World - And How Geovation Is Evolving
    --
    ordnancesurvey.co.uk/blog/how- <-- shared technical/overview article
    --
    geovation.uk/ <-- shared Geovation home page
    --
    H/T @gareth Sumner | Head of Geovation, Leading innovation, connecting innovators with real world problems and championing design thinking
    “… How can technology 👨‍💻 create meaningful impact in the real world? 🌍
    Today that question feels more relevant than ever.
    While much of the conversation around AI focuses on digital tools and experiences, what I really care about is its potential to improve outcomes in the physical world.
    That's where trusted, foundational data becomes critical – and it has become our north star as Geovation continues to evolve…”
    --
    “Geovation is Ordnance Survey (OS)'s innovation programme, pioneered more than 15 years ago to foster a geospatial ecosystem for startups to solve real world challenges. Now its head, Gareth Sumner, considers the importance of trusted data and AI in today's world and how Geovation is evolving into a national data innovation and impact lab: a place where government data, entrepreneurial talent and real-world challenges come together…”
    #Geovation #AI #machinelearning #innovation #usecase #appliedscience #AI #GeoAI #geospatialecosystem #startups #industrysupport #data #realworld #UK #LocationTech #SpatialInnovation #MappingTheFuture #TechStartups #InnovationHub #Entrepreneurship #FoundersUK #GIS #spatial #mapping #BritainMapped #MadeInUK
    @OrdnanceSurvey | @Geovation

  4. The Importance Of Trusted [spatial] Data In The Real World - And How Geovation Is Evolving
    --
    ordnancesurvey.co.uk/blog/how- <-- shared technical/overview article
    --
    geovation.uk/ <-- shared Geovation home page
    --
    H/T @gareth Sumner | Head of Geovation, Leading innovation, connecting innovators with real world problems and championing design thinking
    “… How can technology 👨‍💻 create meaningful impact in the real world? 🌍
    Today that question feels more relevant than ever.
    While much of the conversation around AI focuses on digital tools and experiences, what I really care about is its potential to improve outcomes in the physical world.
    That's where trusted, foundational data becomes critical – and it has become our north star as Geovation continues to evolve…”
    --
    “Geovation is Ordnance Survey (OS)'s innovation programme, pioneered more than 15 years ago to foster a geospatial ecosystem for startups to solve real world challenges. Now its head, Gareth Sumner, considers the importance of trusted data and AI in today's world and how Geovation is evolving into a national data innovation and impact lab: a place where government data, entrepreneurial talent and real-world challenges come together…”
    #Geovation #AI #machinelearning #innovation #usecase #appliedscience #AI #GeoAI #geospatialecosystem #startups #industrysupport #data #realworld #UK #LocationTech #SpatialInnovation #MappingTheFuture #TechStartups #InnovationHub #Entrepreneurship #FoundersUK #GIS #spatial #mapping #BritainMapped #MadeInUK
    @OrdnanceSurvey | @Geovation

  5. The Importance Of Trusted [spatial] Data In The Real World - And How Geovation Is Evolving
    --
    ordnancesurvey.co.uk/blog/how- <-- shared technical/overview article
    --
    geovation.uk/ <-- shared Geovation home page
    --
    H/T @gareth Sumner | Head of Geovation, Leading innovation, connecting innovators with real world problems and championing design thinking
    “… How can technology 👨‍💻 create meaningful impact in the real world? 🌍
    Today that question feels more relevant than ever.
    While much of the conversation around AI focuses on digital tools and experiences, what I really care about is its potential to improve outcomes in the physical world.
    That's where trusted, foundational data becomes critical – and it has become our north star as Geovation continues to evolve…”
    --
    “Geovation is Ordnance Survey (OS)'s innovation programme, pioneered more than 15 years ago to foster a geospatial ecosystem for startups to solve real world challenges. Now its head, Gareth Sumner, considers the importance of trusted data and AI in today's world and how Geovation is evolving into a national data innovation and impact lab: a place where government data, entrepreneurial talent and real-world challenges come together…”

    @OrdnanceSurvey | @Geovation

  6. Using Geospatial Analysis and Explainable Machine Learning to Examine Risk Factors of Out-of-Hospital Cardiac Arrest Survival Outcome
    --
    openscholar.uga.edu/record/269 <-- shared technical publication / dissertation
    --
    aag.org/award-grant/william-l- <-- shared @AAG William L. Garrison Award for Best Dissertation in Computational Geography
    --
    [again, way outside any expertise I might have, but fascinating spatial analysis use case…]
    H/T @Jielu Zhang | Postdoctoral Researcher @ Harvard University
    “[The authors] Ph.D. dissertation "Using Geospatial Analysis and Explainable Machine Learning to Examine Risk Factors of Out-of-Hospital Cardiac Arrest Survival Outcome" [1st link above] has received the 2026 biennial William L. Garrison Award for Best Dissertation in Computational Geography from the American Association of Geographers… [2nd link above.]
    In [their] research, [they] develop[ed] Explainable GeoAI and Causal GeoAI methods that combine geographic data and artificial intelligence to expose and ameliorate health disparities by delivering models that not only predict risks but also illuminate how and where to intervene. While [their] dissertation focused on cardiovascular disease, these approaches are broadly applicable to public health, medicine, urban planning, environmental exposure, and resilience research…”
    #explainable #causal #AI #model #modeling #PublicHealth #GIS #spatial #mapping #spatialanalysis #spatiotemporal #AAG2026 #AAG #Award #geostatistics #Georgia #health #risk #hazard #cardiacarrest #cardiovacscular #usecase #metrics #midocine #urbanplanning #resilience #survival #OutofHospital #PhD #Dissertation #CardiacArrest #AutomatedExternalDefibrillator #SpatialOptimization #GeographicallyExplainableArtificialIntelligence #GeoAI #GeoXAI #SpatiallyAwareCausalInference #OverlayedSpatioTemporalOptimization #healthcare #medical #intervention #GIS #spatial #mappingt #spatialanalysis #spatiotemporal #heart #heartattack #AED #survival #survivaloutcomes #machinelearning #AI #publichealth #healthgeographers #counterfactual #explainable #deeplearning #model #modeling

  7. Using Geospatial Analysis and Explainable Machine Learning to Examine Risk Factors of Out-of-Hospital Cardiac Arrest Survival Outcome
    --
    openscholar.uga.edu/record/269 <-- shared technical publication / dissertation
    --
    aag.org/award-grant/william-l- <-- shared @AAG William L. Garrison Award for Best Dissertation in Computational Geography
    --
    [again, way outside any expertise I might have, but fascinating spatial analysis use case…]
    H/T @Jielu Zhang | Postdoctoral Researcher @ Harvard University
    “[The authors] Ph.D. dissertation "Using Geospatial Analysis and Explainable Machine Learning to Examine Risk Factors of Out-of-Hospital Cardiac Arrest Survival Outcome" [1st link above] has received the 2026 biennial William L. Garrison Award for Best Dissertation in Computational Geography from the American Association of Geographers… [2nd link above.]
    In [their] research, [they] develop[ed] Explainable GeoAI and Causal GeoAI methods that combine geographic data and artificial intelligence to expose and ameliorate health disparities by delivering models that not only predict risks but also illuminate how and where to intervene. While [their] dissertation focused on cardiovascular disease, these approaches are broadly applicable to public health, medicine, urban planning, environmental exposure, and resilience research…”
    #explainable #causal #AI #model #modeling #PublicHealth #GIS #spatial #mapping #spatialanalysis #spatiotemporal #AAG2026 #AAG #Award #geostatistics #Georgia #health #risk #hazard #cardiacarrest #cardiovacscular #usecase #metrics #midocine #urbanplanning #resilience #survival #OutofHospital #PhD #Dissertation #CardiacArrest #AutomatedExternalDefibrillator #SpatialOptimization #GeographicallyExplainableArtificialIntelligence #GeoAI #GeoXAI #SpatiallyAwareCausalInference #OverlayedSpatioTemporalOptimization #healthcare #medical #intervention #GIS #spatial #mappingt #spatialanalysis #spatiotemporal #heart #heartattack #AED #survival #survivaloutcomes #machinelearning #AI #publichealth #healthgeographers #counterfactual #explainable #deeplearning #model #modeling

  8. Using Geospatial Analysis and Explainable Machine Learning to Examine Risk Factors of Out-of-Hospital Cardiac Arrest Survival Outcome
    --
    openscholar.uga.edu/record/269 <-- shared technical publication / dissertation
    --
    aag.org/award-grant/william-l- <-- shared @AAG William L. Garrison Award for Best Dissertation in Computational Geography
    --
    [again, way outside any expertise I might have, but fascinating spatial analysis use case…]
    H/T @Jielu Zhang | Postdoctoral Researcher @ Harvard University
    “[The authors] Ph.D. dissertation "Using Geospatial Analysis and Explainable Machine Learning to Examine Risk Factors of Out-of-Hospital Cardiac Arrest Survival Outcome" [1st link above] has received the 2026 biennial William L. Garrison Award for Best Dissertation in Computational Geography from the American Association of Geographers… [2nd link above.]
    In [their] research, [they] develop[ed] Explainable GeoAI and Causal GeoAI methods that combine geographic data and artificial intelligence to expose and ameliorate health disparities by delivering models that not only predict risks but also illuminate how and where to intervene. While [their] dissertation focused on cardiovascular disease, these approaches are broadly applicable to public health, medicine, urban planning, environmental exposure, and resilience research…”
    #explainable #causal #AI #model #modeling #PublicHealth #GIS #spatial #mapping #spatialanalysis #spatiotemporal #AAG2026 #AAG #Award #geostatistics #Georgia #health #risk #hazard #cardiacarrest #cardiovacscular #usecase #metrics #midocine #urbanplanning #resilience #survival #OutofHospital #PhD #Dissertation #CardiacArrest #AutomatedExternalDefibrillator #SpatialOptimization #GeographicallyExplainableArtificialIntelligence #GeoAI #GeoXAI #SpatiallyAwareCausalInference #OverlayedSpatioTemporalOptimization #healthcare #medical #intervention #GIS #spatial #mappingt #spatialanalysis #spatiotemporal #heart #heartattack #AED #survival #survivaloutcomes #machinelearning #AI #publichealth #healthgeographers #counterfactual #explainable #deeplearning #model #modeling

  9. Using Geospatial Analysis and Explainable Machine Learning to Examine Risk Factors of Out-of-Hospital Cardiac Arrest Survival Outcome
    --
    openscholar.uga.edu/record/269 <-- shared technical publication / dissertation
    --
    aag.org/award-grant/william-l- <-- shared @AAG William L. Garrison Award for Best Dissertation in Computational Geography
    --
    [again, way outside any expertise I might have, but fascinating spatial analysis use case…]
    H/T @Jielu Zhang | Postdoctoral Researcher @ Harvard University
    “[The authors] Ph.D. dissertation "Using Geospatial Analysis and Explainable Machine Learning to Examine Risk Factors of Out-of-Hospital Cardiac Arrest Survival Outcome" [1st link above] has received the 2026 biennial William L. Garrison Award for Best Dissertation in Computational Geography from the American Association of Geographers… [2nd link above.]
    In [their] research, [they] develop[ed] Explainable GeoAI and Causal GeoAI methods that combine geographic data and artificial intelligence to expose and ameliorate health disparities by delivering models that not only predict risks but also illuminate how and where to intervene. While [their] dissertation focused on cardiovascular disease, these approaches are broadly applicable to public health, medicine, urban planning, environmental exposure, and resilience research…”
    #explainable #causal #AI #model #modeling #PublicHealth #GIS #spatial #mapping #spatialanalysis #spatiotemporal #AAG2026 #AAG #Award #geostatistics #Georgia #health #risk #hazard #cardiacarrest #cardiovacscular #usecase #metrics #midocine #urbanplanning #resilience #survival #OutofHospital #PhD #Dissertation #CardiacArrest #AutomatedExternalDefibrillator #SpatialOptimization #GeographicallyExplainableArtificialIntelligence #GeoAI #GeoXAI #SpatiallyAwareCausalInference #OverlayedSpatioTemporalOptimization #healthcare #medical #intervention #GIS #spatial #mappingt #spatialanalysis #spatiotemporal #heart #heartattack #AED #survival #survivaloutcomes #machinelearning #AI #publichealth #healthgeographers #counterfactual #explainable #deeplearning #model #modeling

  10. Using Geospatial Analysis and Explainable Machine Learning to Examine Risk Factors of Out-of-Hospital Cardiac Arrest Survival Outcome
    --
    openscholar.uga.edu/record/269 <-- shared technical publication / dissertation
    --
    aag.org/award-grant/william-l- <-- shared @AAG William L. Garrison Award for Best Dissertation in Computational Geography
    --
    [again, way outside any expertise I might have, but fascinating spatial analysis use case…]
    H/T @Jielu Zhang | Postdoctoral Researcher @ Harvard University
    “[The authors] Ph.D. dissertation "Using Geospatial Analysis and Explainable Machine Learning to Examine Risk Factors of Out-of-Hospital Cardiac Arrest Survival Outcome" [1st link above] has received the 2026 biennial William L. Garrison Award for Best Dissertation in Computational Geography from the American Association of Geographers… [2nd link above.]
    In [their] research, [they] develop[ed] Explainable GeoAI and Causal GeoAI methods that combine geographic data and artificial intelligence to expose and ameliorate health disparities by delivering models that not only predict risks but also illuminate how and where to intervene. While [their] dissertation focused on cardiovascular disease, these approaches are broadly applicable to public health, medicine, urban planning, environmental exposure, and resilience research…”

  11. Spatial Signals [podcast]
    --
    americaview.podbean.com/ <-- shared podcast entry page
    --
    americaview.substack.com/ <-- shared Spatial Signals Substack page
    --
    [note that I am not associated with this podcast in any way, and this post should not be considered an endorsement]
    “Spatial Signals is a podcast about remote sensing, GIS, and geospatial technologies - but more importantly, it’s a podcast about the people who use and apply them. This podcast is sponsored by AmericaView, the national remote sensing network dedicated to empowering Earth Observation…”
    #SpatialSignals #AmericaView #Geospatial #RemoteSensing #GIS #spatial #mapping #GeoAI #OpenSource #podcast #remotesensing #earthobservation #spatialprofessionals #SMEs #socialmedia #GISgeeks #usecase #publicgood #spatialanalysis #spatiotemporal #model #modeling
    @SpatialSignals | @Youngstown State University | @AmericaView

  12. A Five-Year Milestone - Reflections On Advances And Limitations In GeoAI Research
    --
    acsu.buffalo.edu/~yhu42/papers <-- shared 2024 paper
    --
    doi.org/10.1016/j.jag.2025.104 <-- shared 2025 paper
    --
    [GeoAI has changed markedly since this 1st paper was written, but there is still much value in what it states]

    @AAG

  13. The Myth And Reality Of ‘Physics-Based’ Models In Geosciences
    --
    geoaiunpacked.substack.com/p/t <-- shared technical article
    --
    “Across hydrology, fire, weather, and climate science, models are often described as physics-based—a phrase that evokes rigor, transparency, and trust. Yet, beneath the surface, much of what drives these models are empirical relationships and parameterizations rather than direct solutions of physical laws. These assumptions are necessary to make the equations computable, but they also introduce biases, tuning artifacts, and uncertainties that can propagate through every layer of simulation.
    This doesn’t mean physics-based models are flawed or obsolete; rather, it highlights the complexity of modeling natural systems…”
    #GeoAI #datadriven #physicsbased #model #modeling #usecase #appliedscience #accuracy #appropriateness #simulation #naturalsystems #hybrid #physicalrealism #hydrology #fire #weather #climate

  14. Interesting to see the distance between Maplands (home of
    @qgis) and Geosppytiallia (home of @movingpandas) in anvaka.github.io/map-of-github

    Why are Lidaria and Carto3Dica in between?

    It's all (Landia) 😜