Day 1 [Holiday Inn Then Winchester Science Centre] – Monday 18th November

Optional Ethics & AI Workshop		Holiday Inn
09:00 – 09:30	Workshop Registration & Coffee	Conference Coffee Station
09:30 – 11:30	Ethics for AI for Scientific Discovery Workshop	Hampshire Suite
Main Conference		Holiday Inn
11:00 – 11:30	Registration & Coffee	Conference Coffee Station
12:00 – 12:30	Session 1 – Chair: Dr Samantha Kanza [AI3SD]	Hampshire Suite
11:30 – 12:00	Introduction & Welcome	Professor Jeremy Frey
12:00 – 12:30	AI3SD Network Retrospective
12:30 – 13:30	Lunch + Networking	Holiday Inn Restaurant
13:30 – 15:30	Session 2 – Chair: Professor Richard Whitby [Data, AI, Molecules & Materials]	Hampshire Suite
13:30 – 14:00	Learning with Complex Priors and Interactions	Professor John Shawe-Taylor
14:00 – 14:30	Data driven models that predict protein function from sequence	Dr Lucy Colwell
14:30 – 15:00	Materials Development in the Energy and Electronics Sectors through Combinatorial Synthesis, High-Throughput Screening and Machine Learning	Professor Brian Hayden
15:00 – 15:30	Discussion Session
15:30 – 15:45	Tea & Coffee + Networking	Conference Coffee Station
15:45 – 17:00	Session 3 – Chair: Dr Nicola Knight [Network funded projects interim reports]	Hampshire Suite
15:45 – 16:10	Predicting the Activity of Drug Candidates where there is No Target	Professor Matthew Todd
16:10 – 16:35	‘Next-next’ Generation Quantum DNA Sequencing with Chemical Surface Design and Capsule Nets	Professor Tim Albrecht
16:35 – 17:00	Deep Learning Enhanced Quantum Chemistry: Pushing the limits of Materials Discovery	Dr Reinhard J. Maurer
Evening Activities		Winchester Science Centre
17:15 – 19:00	Drinks & Networking in the Science Centre	1st Floor Science Centre
19:00 – 20:00	Illusions & How the brain works by Steve Mould	Planetarium
Conerence Dinner		Holiday Inn
20:15 – 22:00	Dinner	Hampshire Suite
22:00	End of Day 1

Day 2 [Holiday Inn] – Tuesday 19th November

Main Conference		Holiday Inn
08:30 – 09:00	Tea & Coffee	Conference Coffee Station
09:00 – 10:30	Session 4 – Chair: Professor Mahesan Niranjan [Machine Learning & Deep Learning for Scientific Discovery]	Hampshire Suite
09:00 – 09:30	Non-equilibrium Physics and Machine Learning	Professor Juan P. Garrahan
09:30 – 10:00	Deep Machine Learning of Quantum Chemical Hamiltonians	Professor David Yaron
10:00 – 10:30	AlphaFold: Improved protein structure prediction using potentials from Deep Learning	Dr Andrew Senior
10:30 – 11:00	Conference Coffee Station	Conference Coffee Station
11:00 – 12:00	Session 5 – Chair: Dr Colin Bird [AI & Scientific Discovery]	Hampshire Suite
11:00 – 11:30	The UKRI Review of Support for AI	Dr Renée Van de Locht
11:30 – 12:00	Explainable AI and Scientific Discovery	Dr Richard Tomsett
12:00 – 12:30	Session 6 – Chair: Dr Samantha Kanza [Flash Talks for Online Posters]	Hampshire Suite
12:30 – 13:30	Lunch & Networking	Holiday Inn Restaurant
13:30 – 15:00	Machine Learning for Modelling Microstructure Evolution Hampshire Suite	Professor Nigel Clarke
14:00 – 14:30	The Automation of Science: Robot Scientists for Chemistry and Biology	Professor Ross King
14:30 – 15:00	Multi-fidelity Statistical Learning Approach for Organic Molecular Crystal Structure Prediction	Dr Roohoolah Hafizi & Dr Olga Egorova
15:00 – 15:30	Tea & Coffee + Networking	Conference Coffee Station
15:30 – 17:10	Session 8 – Chair: Professor Jeremy Frey [Contributed Talks]	Hampshire Suite
15:30 – 15:50	Isometric classifications of periodic crystals	Dr Vitaliy Kurli
15:50 – 16:10	Practical applications of deep learning to imputation of drug discovery data	Dr Benedict Irwin
16:10 – 16:30	Dense periodic packings in the light of crystal structure prediction	Miloslav Torda
16:30 – 16:50	Data Science and the Physical Sciences Data-Science Service	Dr Nicola Knight
16:50 – 17:10	Ellipsoids as a new descriptor for materials	Dr James Cumby
17:10 – 17:30	Summing up and end of conference