This project builds on a strong history of successful, impactful STFC-supported research, applying this research within the world-leading Zooniverse citizen science platform to humanitarian and disaster management issues in countries that require Official Development Assistance. The Planetary Response Network is a partnership led by the Zooniverse, the Machine Learning Group at the University of Oxford, and the response and resilience charity Rescue Global. Since 2015 the PRN has deployed crowdsourcing projects to classify multiple kinds of damage following major natural disasters in Nepal, Ecuador, and multiple Caribbean nations including Dominica and Antigua & Barbuda. This project seeks to improve on the successes of those projects by incorporating feedback from ground-responders partnered with Rescue Global and from a recent multi-agency report which clearly articulated the unique needs of crowdsourced projects in humanitarian response applications. Thanks to STFC support, the Zooniverse has well-established platform infrastructure that can fully address these needs; the modest additional support requested in this project will bring high value for money by adding targeted high-impact features to the Zooniverse platform. These features include a pipeline to rapidly process pre- and post-event satellite images into classifiable "subjects" for the crowd, application of STFC-supported machine learning research to pre-classification of images, incorporation of STFC-supported advanced algorithms for real-time human-machine classification, and intuitive visualisation of consensus results so that decision makers and responders on the ground can easily interpret damage maps and maximise situational awareness, leading to better allocation of resources and aid, faster restoration of infrastructure, and a significant positive impact on societies preparing for and recovering from natural disasters.

Public opinion on complex scientific topics can have dramatic effects on industrial sectors (e.g. GM crops, fracking, global warming). In order to realise the industrial and societal benefits of Autonomous Systems, they must be trustworthy by design and default, judged both through objective processes of systematic assurance and certification, and via the more subjective lens of users, industry, and the public. To address this and deliver it across the Trustworthy Autonomous Systems (TAS) programme, the UK Research Hub for TAS (TAS-UK) assembles a team that is world renowned for research in understanding the socially embedded nature of technologies. TASK-UK will establish a collaborative platform for the UK to deliver world-leading best practices for the design, regulation and operation of 'socially beneficial' autonomous systems which are both trustworthy in principle, and trusted in practice by individuals, society and government. TAS-UK will work to bring together those within a broader landscape of TAS research, including the TAS nodes, to deliver the fundamental scientific principles that underpin TAS; it will provide a focal point for market and society-led research into TAS; and provide a visible and open door to engage a broad range of end-users, international collaborators and investors. TAS-UK will do this by delivering three key programmes to deliver the overall TAS programme, including the Research Programme, the Advocacy & Engagement Programme, and the Skills Programme. The core of the Research Programme is to amplify and shape TAS research and innovation in the UK, building on existing programmes and linking with the seven TAS nodes to deliver a coherent programme to ensure coverage of the fundamental research issues. The Advocacy & Engagement Programme will create a set of mechanisms for engagement and co-creation with the public, public sector actors, government, the third sector, and industry to help define best practices, assurance processes, and formulate policy. It will engage in cross-sector industry and partner connection and brokering across nodes. The Skills Programme will create a structured pipeline for future leaders in TAS research and innovation with new training programmes and openly available resources for broader upskilling and reskilling in TAS industry.