Time	Geoscience Day Monday Feb 14th	Data Science Day Tuesday, Feb 15th	Application Day Wednesday Feb 16th
9:30	Registration and Tea & Coffee	Registration and Tea & Coffee	Registration and Tea & Coffee
10:00	Welcome from Vasily Demyanov	Welcome from Vasily Demyanov	Welcome from Vasily Demyanov
10:11	Lessons from historical data exploration in a long-lived consolidated mineral belt by Joao Gabriel Mottas, University of Exeter	Graph discovery and Bayesian filtering in state-space models for temporal data by Victor Elvira, University of Edinburgh	Improving marine renewable energy industry, Floating Solar Plant in particular, by linking marine geoscience with data science by Amir Honaryar, Queen’s University, Belfast
10:34	Using Legacy Core Material to Support the Future of Data Science by Kirstie Wright, North Sea Core CIC, Aberdeen	Reinforcement learning for fluid control by Ahmed Elsheikh, Heriot-Watt University	Domaining of downhole geochemical data – an automated approach applied to the Northern Limb of the Bushveld Complex by Tom Buckle, University of Exeter
10:57	Advances in experimental mechanics: opportunities, challenges, and limitations by Elma Charalampidou, Heriot-Watt University	Graph deep learning in reservoir conditioning to production data by Gleb Shishaev, Tomsk Polytechnic University	Agent based modelling for subsurface dynamic screening by Bastian Steffens, Quentin Corlay, Heriot-Watt University
11:20	Breakout group discussion	Breakout group discussion	Breakout group discussion
11:35	Speaker panel	Speaker panel	Speaker panel
11:45	TEA BREAK	TEA BREAK	TEA BREAK
12:00	Statistical characteristics of flow in heterogeneous random porous media by Anna Isaeva, Moscow State University	Performance of Machine Learning Algorithms and the Value of Information by Roman Belavkin, Middlesex University, London	Machine learning approach to reduce uncertainties in reservoir description using gravity and magnetic data, by Aleksandra Volkova, Tomsk Polytechnic University
12:23	Estimating permeability field by combining data from wireline logs and hydrodynamic well tests by Vladimir Vannovskiy, Skoltech, Moscow	Data science approaches in geology by Alexey Antonov, Mikhail Karpushin, Moscow State University	Classification of lithology (autointerpretation) and empty logs restoration by means of Machine Learning, by Vladlen Sakhnyuk, Alexander Sharifullin and Eugeny Novikov Moscow State University
12:46	Some applications of global sensitivity analysis in geosciences by Dmitriy Kolyukhin, Trofimuk Institute of Petroleum Geology and Geophysics​ , Novosibirsk, SB RAS	Machine Learning Approaches in Geological Mapping – A case study from Northern Ireland by Zeinab Smille, University of Stirling	Workshop: Themes for Day 4
13:09	Breakout Group discussion	Breakout Group discussion	Breakout Group discussion
13:24	Speaker panel	Speaker panel	Speaker panel
13:44	LUNCH and close	LUNCH and close	LUNCH and close

Consolidation Day, Feb 17th

Collaborative research project design

9:30: Registration and Tea & Coffee
10-11:30: Project Design
11:30-11:45: TEA BREAK
11:45 – 13:15: Research Network Design
13:15: Close, followed by LUNCH