Problem Solving with Industry
The European Study Groups with Industry programme is an innovative and collaborative way of tackling real problems faced in leading industries. These events have been described as "Hackathons for Mathematics"!
A study group is a week-long intensive problem-solving event that brings the wide ranging expertise of mathematical scientists together in a collaborative effort to solve real problems experienced by industrialists.
A Typical Week at a Study Group...
On the first morning, industry representatives present their problems. Often these involve complicated industrial processes that are not scientifically well understood. Some problems are more clear cut than others, for example, there may be a specific question such as How might we prevent this happening?, however this may not necessarily be the case. The academic/scientific participants then select the problem(s) they would like to work on.
During the first afternoon, subgroups of the scientific participants meet with each industrial representative and ask more detailed questions. Ideally, at the end of the day the team should have defined in broad terms the approximate goals for the week. Sometimes a successful outcome may simply be a properly formulated mathematical problem.
During the rest of the week, the group works on the problems and progresses towards a solution. Participants are free to choose which group(s) they would like to work with. Some people like to work intensively on one problem, others prefer to contribute to a number of problems. The industrial partner may or may not be able to attend all sessions, but should be easy to reach if more information is required.
On the last day, all groups present their results to the industry representatives and the other academics. A report describing the work of the group is written in the weeks following and given to the industrial partner.
Study Group Topics
Study group problems can come a wide range of areas. Common topics include
The problems submitted to study groups are extremely varied but they reflect the skills that are expected from a mathematical modeller. Problems are typically broken down into sub-tasks and interim models that are much easier to tackle.
Brewing of Filter Coffee, with Philips Research