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It includes a timed agenda with lightning talks spanning transfer learning for chemical synthesis, machine-learning potentials for reaction modeling, deep reinforcement learning for cancer scheduling, and studies on polygenic traits, AI in elections, and AI governance. It also features poster topics and ORA service statistics, access guidance, and helpdesk contacts.","ORA collection on AI & Machine Learning launch event  \n2024 March 19th 10:00-11:30  \nAlessandra Vetrugno  \nLead Librarian for Physical and Applied Sciences  \nAgenda Introduction and welcome Lightning talks  \n• Transfer learning for heterocycle synthesis prediction  \no Ewa Wieczorek, DPhil student in the Department of Chemistry  \n• Machine learning-based potentials for modelling chemical reactions in the gas phase and solution  \no Veronika Juraskova, Postdoctoral researcher in the Department of Chemistry  \n• Learning to Adapt: Rational Personalization of Cancer Treatment Schedules using Deep Reinforcement Learning  \no Kit Gallagher, DPhil student in the Mathematical Institute  \n• Simulation and analysis of highly polygenic traits  \no Daiki Tagami, Dphil student in the Department of Statistics  \n• AI & Elections in Africa  \no Michael Collyer, DPhil student at the Oxford Internet Institute  \n• International governance of civilian AI via jurisdictional certification  \no Benjamin Harack, DPhil student in the Department of Politics and International Relations and DPhil Affiliate at the Oxford Martin AI Governance Initiative  \nNetworking & Refreshments  \nPosters  \n• Using AI-generated speech to inform historical sound change (with specific reference to Old English vowel breaking)  \no Jonathan Wei, DPhil student in the Department of Linguistics, Philology and Phonetics  \n• A Reinforcement Learning approach to Hamiltonian Eigenvalue Solving  \no Oliver Chapman, DPhil student in the Department of Chemistry  \n• Trustworthiness Auditing for Artificial Intelligence Systems  \no Kaivalya Rawal, Postdoctoral researcher at the Oxford Internet Institute  \nOxford University  \nResearch Archive (ORA)  \nAn ORA AI Collection  \nORA service  \nOxford University Research Archive (ORA) -Institutional Repository for the University, collecting, preserving and disseminating Oxford's research: including journal articles, conference papers, book sections, reports, working papers, posters, research theses, and research data.  \nCurrently ~289k records, and ~117 full text available.  \n[https://ora.ox.ac.uk/](https://ora.ox.ac.uk/)  \nORA AI Collection  \n• Currently 6,345 records of content  \no 4,566 with full text available to download  \n• Bringing together research on AI and Machine Learning from within ORA across the divisions into a single space  \n• Providing barrier free global access without paywall, login, or subscription  \n• Enabling research to be available to policy and practice makers  \n• Since October 2023 >80k views, ~50k downloads  \n[https://ora.ox.ac.uk/collections/ai](https://ora.ox.ac.uk/collections/ai)  \nKey contact and help  \nORA Helpdesk  \nSymplectic helpdesk  \nOpen Access helpdesk  \nCopyright helpdesk  \nResearch Data helpdesk  \n[https://openaccess.ox.ac.uk/](https://openaccess.ox.ac.uk/)  \n[https://ora.ox.ac.uk/](https://ora.ox.ac.uk/)  \n[ora@bodleian.ox.ac.uk](ora@bodleian.ox.ac.uk)  \n[symplectic@admin.ox.ac.uk](symplectic@admin.ox.ac.uk)  \n[openaccess@bodleian.ox.ac.uk](openaccess@bodleian.ox.ac.uk)  \n[copyright@bodleian.ox.ac.uk](copyright@bodleian.ox.ac.uk)  \n[researchdata@ox.ac.uk](researchdata@ox.ac.uk)","cbCaijiBlZdkvgxD","https://ap.wps.com/l/cbCaijiBlZdkvgxD","pdf",710548,1,"English","en",105,"# Agenda\n## Lightning talks\n## Networking & refreshments\n# Posters\n## Research highlights\n# ORA service and help","[{\"question\":\"What is the ORA AI Collection introduced in the event?\",\"answer\":\"It is an ORA service space that brings together AI and machine learning research from across Oxford’s divisions into a single location for global access.\"},{\"question\":\"What kinds of sessions does the program include?\",\"answer\":\"The event includes an agenda with lightning talks, networking and refreshments, and a poster session with multiple research presentations.\"},{\"question\":\"What access and usage features are emphasized for ORA?\",\"answer\":\"The collection supports barrier-free global access without paywall, login, or subscription, and the event materials cite growing views and downloads since October 2023.\"}]","ORA AI & Machine Learning Launch Event | 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