Industrial Statistics

Organisers: Dave Woods (Southampton) and Martin Owen (GlaxoSmithKline)

in association with the Turing Gateway to Mathematics

Programme | Participation

The statistical sciences are key to the efficient collection, understanding and exploitation of data in all areas of industry, including emerging and high-value sectors. In addition, challenges from industry and science continue to provide stimulus for new research directions for the discipline.

This event will bring together researchers from industry, applied and methodological Statistics to explore new challenges, disseminate best practice and to encourage and mentor early career researchers.

Three themes (see below) have been identified for the workshop that are of current and direct interest to industry and that cut across a variety of areas of research in Statistics.

Aims and Objectives

1. Raise awareness among the Statistics academic community of the exciting and challenging research problems found in industry;


2. Promote the development for, and application to, industrial problems of the world-leading basic research being undertaken in Statistics in the UK;


3. Encourage the cross-fertilisation of research ideas and problem solutions between different industrial sectors and research fields;


4. Help to develop the next generation of academic and industrial researchers with the skill base to collaborate on future research challenges;


5. Help to understand change management issues associated with developing, exploiting and sustaining new collaborative methodologies, and how active and effective communities of practice can be developed within and across institutions.

Themes

1. Uncertainty quantification and computer experiments
   Theme champion: Henry Wynn (London School of Economics and Political Science)


2. Big data
   Theme champion: Giovanni Montana (Imperial College, London)


3. Modes of collaboration between industry and academia
   Theme champion: Martin Owen (GlaxoSmithKline)

Legacy and Impact

This workshop will provide the impetus to develop a continuing forum for collaborative activities and knowledge exchange between the Statistics academic community and industrial scientists. One workshop aim is to elicit and develop ideas from the scientific and industrial community about the form this network should take, for example, regular six-monthly meetings and seminars and social media resources.