AU4DM Workshop
Analysis under Uncertainty for Decision-makers Network Workshop (AU4DM)
"Opportunities and limitations of machine learning and other AI techniques in complex decision making"
Date: 25 November, 2019
Time: 09:30 to 16:30
Venue: Warwick in London Rooms, The Stanley Building, 7 Pancras Square, Kings Cross, London N1C 4AG
Registration fee: £20 per delegate
The Analysis Under Uncertainty for Decision-Makers (AU4DM) Network is hosting its 2nd annual Workshop on 25th November 2019. This one-day workshop will feature presentations and discussions from experts in the field and offers the opportunity for participants to be part of a break-out group discussion. The workshop will run three simulations in parallel, each with the same scenario but different points of view. The key objective of these simulations is: To identify what issues, events, behaviours, responses, etc. the participants perceive as being uncertain in the scenario and how they are accounted across groups.
This workshop has limited places, and participants are asked to complete the registration form available on the link below. The £20 registration fee is a contribution to costs and each delegate will receive a copy of both the recently updated Visualisations Catalogue and the Decision Tools Catalogue.
If the workshop is full and you could not find an available place please fill the waiting list form.
Schedule
Monday 25 November
09:30 Arrival and registration
10:00 Welcome
10:05 David Hartley (University of Warwick and GSK)
Analytics, Machine Learning: what can they do and what can’t they do?
10:40 Chris Dent (University of Edinburgh and Alan Turing Institute)
Energy systems modelling: models and the real world.
11:15 Discussion
11:35 Introduction to break-out sections
11:40 Coffee break
12:00 Break-outs for scenario-focused discussion
13:15 Lunch
14:00 Break-outs
15:15 Tea
15:35 Launch of new visualisation and decision tools catalogues
15:50 Report back from break-out groups and discussion
16:20 Report on current AU4DM activities and plans
16:30 Close and departure
Abstracts
10.05 – 10.40 David Hartley (University of Warwick and GSK)
Analytics, Machine Learning: what can they do and what can’t they do?
Machine Learning methods are great tools to enhance analytical capabilities for decision making, however, they are not panaceas for the issues analysts must face. This talk will discuss some of the advantages and limitations of applying Machine Learning to problem solving in commercial settings from the perspective of both the decision maker and the analyst. Some common pitfalls that decision makers and practitioners fall into whilst implementing analytical/ML initiatives are discussed.
10.40 – 11.15 Chris Dent (University of Edinburgh and Alan Turing Institute)
Energy systems modelling: models and the real world
Computer modelling is widely used for planning and decision support in energy systems planning and policy, and in many other situations of decision making in complex circumstances. This project will review key issues in linking models and the real word, with the help of quotations from a number of prominent experts. While specific examples are from energy systems, the issues discussed are of general relevance. The work will also briefly discuss current work on uncertainty in government modelling at the Alan Turing Institute.