Geography (General)
Research Topic
Language: English
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- What will be the ecological, economic, and social impacts of sea level rise? How effective are our current responses?
- Ensuring the UK has the right diversity in the S&T landscape: How can the UK RDI system be mapped thematically and usefully (systems mapping as well as geographical mapping)? What have previous attempts achieved and how? How can gaps in the system be identified?
- Building on from the Assessing the UK’s regional digital ecosystems research published by DSIT, what could be the most efficient solutions in addressing the differing maturity of local ecosystems between, and within, UK regions?
- Analyse and explain the drivers of spatial differences in cultural engagement across the UK?
- What new and emerging technologies (including cloud, Artificial Intelligence, Machine Learning, and Augmented Reality/Virtual Reality) will impact geospatial skills and innovation, and access to geospatial data in the future, and how could the UK leverage these technologies?
- As well as modelling and understanding major land use change (for example from agriculture to forestry), how can we understand the effects of more subtle changes in land management across wide areas (for example changing tillage practice)?
- How might Artificial Intelligence tools such as language models be useful in:i) processing delivery data ii) increasing understanding of geospatial areas and associated risks of delivery?
- How do geographical and demographic factors affect legal aid awareness and uptake? How does legal aid uptake vary by eligibility?
- Analysis of social and economic interactions with the environment and natural resources. What are the links and trade-offs between biodiversity, climate, sustainable management of forestry, soils and peatland restoration, economic development, food, health, wellbeing, and global poverty?
- What are the implications and opportunities of demographic (e.g. ageing workforce), geographic (e.g. hubs) and technological (e.g. automation, robotics and machine learning - cognitive technologies) change for the ways in which the Civil Service is organised?
- How do geographic, demographic, cultural, and other factors affect people’s ability to resolve their legal problems?
- What are public perceptions of the economic, social and cultural links between the UK nations? What is driving these perceptions?
- How can we predict the potential impacts of a changing climate on actions and strategies to mitigate climate change (for example how will future climate change impact the delivery of carbon sequestration by different habitats)? What tools are available to allow for effective planning of climate change mitigation strategies that are resilient to a changing climate?
- What are the estimated social gains to R&D in the UK? What is the estimated value of spillovers, and how important is geographical proximity to their capture?
- How is international R&I activity distributed across the UK at a sub-regional level?
- How has the COVID-19 pandemic influenced how people engage with and value environmental systems (including nature, wildlife, and farming and food supply)? What opportunities does this present to lock-in positive behaviour change and secure environmental objectives in the longer term?
- How can the UK protect and increase its standing stock of organic carbon: trees, peat, soil, and salt marshes? How can these habitats most efficiently be distributed spatially given limited land and other needs (for example urban space, food production, recreation)? How can increases in carbon stocks be achieved while maximising co-benefits such as biodiversity, clean water, and nutrient balance?
- Which factors, or characteristics, make some areas perform better than others at different spatial scale (towns, cities, regions)?
- What are the competing pressures, trade-offs, and synergies of different land-uses in relation to climate change in a post COVID-19 world?
- What are the drivers of life chances which lead to poor life outcomes and what are the opportunity areas in the UK? How do these correlate with traditional proxies for local economic success, such as rates of job growth?
- What are the spatial drivers and distribution of R&D activity? Within that, what are the relevant roles of infrastructure, excellence and capacity?
- 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?
- What is the best way to model trade-offs and synergies across multiple environmental, social, and economic goals resulting from land use and land management?
- How best can local context be incorporated into data received to understand how local events and human and natural geographical features of the area affect the speed of build and risks of delivery?