AI for the Natural Sciences
On the 3rd of November 2022 the Natural History Museum, Turing Institute and University College London are co-hosting the inaugural AI for the Natural Sciences.
The symposium is an opportunity to explore AI-related challenges related to biodiversity and natural science collections, bringing together some of the major research groups working in this domain.
The event centrepiece will be the b(AI)ke Off - an interactive session where researchers pitch real-life challenges to a panel of experts.
Speakers
Professor Kate Jones
Kate Jones is Professor of Ecology and Biodiversity, in the Centre for Biodiversity and Environmental Research (CBER), within the Research Department of Genetics, Evolution and Environment (GEE) at University College London.
Professor Jon Rowe
Jon Rowe is Professor of Natural Computation in the School of Computer Science, and Deputy Pro-Vice Chancellor (Strategic Projects) at the University of Birmingham. He is Programme Director for the Data Science for Science and Humanities programme at The Alan Turing Institute, and is PI and Chair of the SPF funded AI for science and government project. He is an Associate Editor for Theoretical Computer Science journal.
Dr Sarab Sethi
Herchel Smith Postdoctoral Research Fellow based within the Cambridge Conservation Initiative. He is Scientific Advisor at the Norwegian Institute for Nature Research (NINA) and an Academic Visitor at Imperial College London. Previously he worked as a Researcher (Forsker) at NINA designing and deploying a pilot nationwide eco-acoustic monitoring network.
Dr Phillip Fenberg
Phillip Fenberg is Lecturer in Marine biology within Ocean and Earth science, National Oceanography Centre Southampton at the University of Southampton, and Scientific Associate of the Natural History Museum. He is an ecology and evolutionary biologist broadly interested in using integrative methods to bridge the gap between basic ecology and evolution research with conservation biology.
And many more interesting speakers from the Natural History Museum, UCL, The Alan Turing Institute, Kew Gardens, British Antarctic Survey, University of Oxford, and ZSL - see the full schedule
Schedule
| Time start | Time end | Speaker |
|---|---|---|
| 9:30 | 10:00 | Registration & tea/coffee |
| Welcome & introduction | ||
| 10:00 | 10:05 | Vince Smith, Natural History Museum |
| Keynotes | ||
| 10:05 | 10:25 | Kate Jones, UCL |
| Plenary talks | ||
| 10:25 | 10:40 | Sarab Sethi, University of Cambridge |
| 10:40 | 10:55 | Applying Computer Vision to Natural History Collections for global change research. Phillip Fenberg, University of Southampton |
| 10:55 | 11:20 | Tea & coffee |
| Lightning talks | ||
| 11:20 | 11:25 | Ben Scott, Natural History Museum |
| 11:25 | 11:30 | "AI" at Kew: context and motivation. Nicky Nicolson, Kew Gardens |
| 11:30 | 11:35 | Automated Plant Phenotyping Through Cross-Disciplinary Application of Machine Learning<./em> Evangeline Corcoran, Turing Institute |
| 11:35 | 11:40 | Qianqian Gu, Natural History Museum |
| 11:40 | 11:45 | AI for albatross monitoring...from space. Ellen Bowler, British Antarctic Survey |
| 11:45 | 11:50 | Arianna Salili-James, Natural History Museum |
| 11:50 | 11:55 | AI in the Wild: Running Neural Network Models on AudioMoth. Alex Rogers, University of Oxford |
| 11:55 | 12:00 | How can natural world data help AI? Oisin Mac Aodha, University of Edinburgh |
| 12:00 | 12:05 | The potential of AI to analyse phenotypic traits. James Mulqueeney, Natural History Museum |
| 12:05 | 12:10 | Rapid ecosystem assessment using AI. Peggy Bevan, UCL |
| 12:10 | 12:15 | Impactful AI for nature conservation. Anthony Dancer, Zoological Society of London (TBC) |
| 12:15 | 12:20 | Unlocking the soundscapes of coral reefs with artificial intelligence. Ben Williams, UCL |
| 12:20 | 12:25 | How sutures shaped the diversification of the mammal skull; Using computational methods to measure sutures. Yichin He, Natural History Museum |
| 12:25 | 12:30 | Ed Baker, Natural History Museum |
| 12:30 | 13:30 | Lunch break |
| Afternoon keynote | ||
| 13:30 | 13:50 | AI for Natural Science: 10 Challenges Jon Rowe, Turing Institute |
| B(AI)ke Off (AI challenge pitch & panel) | ||
| 13:50 | 15:00 |
|
| 15:00 | 15:20 | Afternoon tea & coffee |
| B(AI)ke Off results | ||
| 15:20 | 15:30 | Results & winner announcement |
| Funders reflections and closing remarks | ||
| 15:30 | 16:00 |
|
| 16:00 | 17:00 | Drinks and cakes reception |
Attend the event
In-person tickets (sold out)
The event will be held at the Flett Theatre, Natural History Museum, London, on 3rd November 2022.
The theatre is now at capacity and we can no longer offer in-person tickets - but please do sign up for the online streamed event.
Live stream
The event will be live-streamed via a Microsoft Teams Live Event.
To sign up, please register using the form below.
To view the live stream, please use an email address belonging to your academic institution.
Register
To register for the live stream event, please enter your details including an email address belonging to your academic institution. You will receive an invitation to join a Microsoft Teams Live Event.
The Flett Theatre is now at capacity and we can no longer offer in-person tickets.
By submitting this form, you consent to being contact about this event.
