| EPSRC Reference: |
EP/Y035305/1 |
| Title: |
EPSRC Centre for Doctoral Training in Statistics and Operational Research in Partnership with Industry (STOR-i) |
| Principal Investigator: |
Eckley, Professor IA |
| Other Investigators: |
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| Researcher Co-Investigators: |
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| Project Partners: |
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| Department: |
Mathematics and Statistics |
| Organisation: |
Lancaster University |
| Scheme: |
Centre for Doctoral Training |
| Starts: |
01 October 2024 |
Ends: |
31 March 2033 |
Value (£): |
6,821,098
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| EPSRC Research Topic Classifications: |
| Mathematical Aspects of OR |
Statistics & Appl. Probability |
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| EPSRC Industrial Sector Classifications: |
| Financial Services |
Healthcare |
| Pharmaceuticals and Biotechnology |
Energy |
| Retail |
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| Related Grants: |
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| Panel History: |
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Summary on Grant Application Form |
Lancaster University, together with a formidable consortium of industrial and third-sector partners, proposes a Centre for Doctoral Training (CDT) aimed at cultivating international research leaders in Statistics and Operational Research (STOR) through a programme in which real-world challenge is the catalyst for cutting-edge methodological advancement.
Our partners face a challenging reality: the demand for highly-trained STOR data specialists consistently exceeds the available supply. This situation is exacerbated by the ever-growing significance of data in both the economy and society. Our proposal directly addresses this pressing demand, focussing on the priority area "meeting a user-need".
The newly envisioned Centre builds upon the strengths and knowledge derived from an existing, internationally recognised EPSRC CDT. Expanding upon this foundation and with the input of an enlarged partner network, including blue-chip companies, SMEs, and third-sector organisations, we propose a Centre poised to recruit and train 70 students across five cohorts. This program will harness industrial and charitable challenges as inspirational springboards for conducting the highest calibre research.
The new programme will innovate by
* Developing a new MRes programme co-designed and delivered with our partners;
* Including a comprehensive training programme on advanced, reproducible programming for STOR, co-ordinated by the Centre's dedicated, industry-funded, Research Software Engineer;
* Embedding industrial and third-sector collaboration throughout the student experience;
* Hosting seeded research clusters: vibrant, cross-cohort, cross-sector retreats to explore and develop early-stage challenges emerging from the shared interests of STOR-i and its partners;
* Developing an ambitious doctoral exchange programme with highly regarded international university partners, comprising student exchanges, co-supervision and shared training activities.
Our partners play an integral role in the Centre's plans, with 80% of doctoral projects adopting a CASE-like approach, receiving co-funding and co-supervision from industrial partners. All other students will engage in industrial research internships. Additionally, partners will lead problem-solving events, data immersion experiences, and contribute to Continuing Professional Development (CPD) activities such as leadership talks, fireside chats, and advanced programming training.
The partnership is deeply committed to ensuring the broader impact of STOR-i as a national resource. To this end, the Centre will establish a suite of funded activities open to all UK STOR doctoral students. These include an annual STOR summer school with an emphasis on leadership skills, advanced programming, and a data dive focused on charitable endeavours. Additionally, students will have access to masterclasses and research visits.
STOR-i will deliver a wide range of benefits and scientific outcomes to the end-user community, underpinned by three fundamental pillars:
1. People: Our CDT will inject 70 highly talented, diverse PhD graduates into the field, armed with the technical, interpersonal, and leadership skills essential for flourishing careers in STOR across a range of sectors. These graduates will serve as catalysts for innovation, driving cutting-edge research, and enhancing the UK's economic competitiveness.
2. Knowledge: The CDT will generate a wealth of cutting-edge research, disseminated in top STOR journals, and presented at major international conferences. This research will tackle substantial real-world challenges, yielding fresh insights and breakthroughs in STOR.
3. Impact: Our CDT will make a tangible difference in society and the economy by producing (i) case studies and (ii) a repository of documented and reproducible software, available to the public. This will facilitate widespread adoption of our research, leading to meaningful societal and economic impact.
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Key Findings |
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This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
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Potential use in non-academic contexts |
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This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
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Impacts |
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| Description |
This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk |
| Summary |
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| Date Materialised |
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Sectors submitted by the Researcher |
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This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
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| Project URL: |
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| Further Information: |
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| Organisation Website: |
http://www.lancs.ac.uk |