Question group

Environmental monitoring and data science

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Environmental monitoring and data science Risk management: Novel approaches to assessment and analysis of risk and resilience Department for Environment, Food & Rural Affairs, 2021
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Environmental monitoring and data science Advanced electronics: How will sensors, omics, geographical information systems, internet of things, be used to support regulation and enforcement needs across the agri-envrionmental and food sectors? Department for Environment, Food & Rural Affairs, 2021
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Environmental monitoring and data science Molecular biology: The ongoing evolution in the costs, speed, and ease of DNA measurements will allow entirely new approaches to complement traditional biodiversity monitoring and increase understanding of ecosystems, biodiversity, diseases, and other aspects of the environment Department for Environment, Food & Rural Affairs, 2021
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Environmental monitoring and data science Consistent and long-term environmental monitoring: Time-series increase in value for ecology and policy making as they grow in length. Decades of data are required to answer emerging questions around, for example, climate change impacts on biodiversity and the efficacy of management measures Department for Environment, Food & Rural Affairs, 2021
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Environmental monitoring and data science Data science: Application of techniques, including AI and block chain, to unlock opportunities for improved and more efficient environmental monitoring, regulatory compliance, and land management Department for Environment, Food & Rural Affairs, 2021
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