How can we better understand novel uses or applications of AI in the geospatial ecosystem, such as in the analysis of Earth Observation and Population Movement data, 3D visualisation, and climate modelling?
Background
Our key focus areas, detailed in our critical policy issues and questions below, are as follows:
• How emerging and developing technologies are likely to impact the future UK geospatial ecosystem, and how best to track its adoption and use in the economy.
• Further developing our understanding and methodology for valuing location data, applications and services to the economy and society.
• Building confidence in the geospatial ecosystem – including understanding changing public attitudes and growing the future pipeline of geospatial skills.
Next steps
If you are keen to register your interest in working and connecting with DSIT Digital Technology and Telecoms Group and/or submitting evidence, then please complete the DSIT-ARI Evidence survey - https://dsit.qualtrics.com/jfe/form/SV_cDfmK2OukVAnirs.
Please view full details: https://www.gov.uk/government/publications/department-for-science-innovation-and-technology-areas-of-research-interest/dsit-areas-of-research-interest-2024
Source
This question was published as part of the set of ARIs in this document:
Topics
Related UKRI funded projects
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AI integrated framework for intelligent geospatial handling and robust operation in MultiGIS applications
MultiGIS provides precise and real-time spatiotemporal data analysis, which greatly benefits various applications including environmental monitoring, sustainable development, resilience-building, and urban planning. Desp...
Funded by: EPSRC
Lead research organisation: Anglia Ruskin University
Why might this be relevant?
The project addresses novel uses of AI in the geospatial ecosystem, specifically in MultiGIS applications, providing solutions for data generation, management, and integration.
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Trustable AI generated Mapping (TAIM)
Artificial Intelligence and Machine Learning based mapping based on remote sensing data presents a significant opportunity within the environmental field, removing the need for manually digitising features in imagery and...
Funded by: Innovate UK
Lead research organisation: EOLAS INSIGHT LTD
Why might this be relevant?
The project focuses on Trustable AI generated Mapping using AI and ML for mapping based on remote sensing data, directly addressing the question on novel uses of AI in the geospatial ecosystem.
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4-D Modeller
The exponential growth in open-source data that is underway has been called the 4th industrial revolution. Data analytics is a huge market growth sector. Most of the data that are relevant to public good are open source....
Funded by: Horizon Europe Guarantee
Lead research organisation: University of Bristol
Why might this be relevant?
The 4-D Modeller project aims to tackle challenges in Earth Observation data analysis, 3D visualization, and climate modeling, aligning with the question's focus areas.