Accelerate Science's 2021 Annual Symposium

Catching up? You can watch the video from this event here (link to follow), or read about what was discussed and check out graphic summaries of the event on our blog.

How can we harness the potential of AI to accelerate scientific discovery? Find out more about the frontiers, opportunities and challenges of AI for science at Accelerate’s 2021 Annual Symposium.

AI has the potential to become an engine for scientific discovery across disciplines. From identifying new phenomena in the stars, to helping understand the materials around us here on Earth, and from mapping the climate system to investigating our genetic code.

Realising these benefits will require new technologies, new collaborations, and new interfaces between AI and the sciences. The Accelerate Programme for Scientific Discovery works to create these connections, developing AI tools and methods that can enhance scientific discovery. To explore recent advances in the application of AI for science and the ways in which the Cambridge community is deploying AI technologies, join us on 19 November for our first Accelerate Science Annual Symposium!

Hosted by Professor Neil Lawrence, the event will feature a mix of invited talks and community-led unworkshops:

13:00 Welcome and introduction to Accelerate - Ann Copestake and Neil Lawrence, Department of Computer Science and Technology
13:30 Alphafold and the frontiers of AI for science - Pushmeet Kohli (Head of Research AI for Science, Robustness, and Reliability, DeepMind) in conversation with Neil Lawrence
14:30 Community-led unworkshops in parallel sessions will explore:

  • AI for sustainable design and development (discussion lead: Ramit Debnath, Department of Architecture and Judge Business School, University of Cambridge)
    • AI and computational design – Dr Antiopi Koronaki (Centre for Natural Material Innovation (CNMI))
    • Unfolding structures using AI: London Biennale 2021 Pavilion – Ms Ana Gatoo (CNMI)
    • Intersection of AI in biomaterials – Dr Darshil Shah (CNMI)
    • AI for just energy policy design – Dr Ramit Debnath (CNMI and Energy Policy Research Group (Cambridge Judge Business School)/ Bye-fellow Churchill college)
    • Algorithms and social policy – Ms Amelia Jabry (Minderoo Centre for Technology and Development)
  • Challenges for AI in science and mathematics (discussion leads: Bianca Dumitrascu, Challenger Mishra and Sarah Morgan, Department of Computer Science and Technology, University of Cambridge)
    • The interface between geometry, number theory and quantum field theory/string theory – Professor Yang Hui He (City, University of London, and University of Oxford)
    • The interface of computer vision and biology – Dr Virginie Uhlmann (EMBL-EBI)
  • Machine learning and the physical world: deploying AI in real-world contexts (discussion leads: Ieva Kazlauskaitė, Department of Engineering, and Markus Kaiser, Department of Computer Science and Technology)
    • The application of machine learning to automatically detect shoreline position and dynamics in coastal remote sensing imagery – Martin Rogers (British Antarctic Survey)
    • Design principles for machine learning in healthcare settings (Diana Robinson, Department of Computer Science and Technology)
    • Machine learning and the physical world – Harry Blakiston Houston (Department of Chemical Engineering and Biotechnology)
15:30 Roundtable: issues and opportunities in AI for science at Cambridge
16:00 Close

To attend, please register at this link.

Date: 19 November 2021

Time: 13:00 - 16:00


What is an unworkshop?
Unworkshops are a space for conference participants to set the agenda. They can be seminars, talks, or discussion groups, on whatever topics are exciting or interesting to you at the interface of AI and the sciences. At the Accelerate Symposium, our unworkshop session will provide a space for the AI for science community to share ideas.

What support will Accelerate provide to unworkshop convenors?
The team will provide technical support, along with someone in the session to help guide the discussion or activity.

How long will unworkshops be?
They will be an hour long. After the hour, we’ll ask workshop leads if they would like to join us in a plenary session that explores the topics covered by their session.

What can I do in a workshop?
The unworkshop is run at the discretion of the leader. These can be through lectures, seminar format, activities- the session is completely yours to explore.

  • Date published: 5 October 2021
Register here