CHAIR: Collaborative hub for advancing interdisciplinary research

Start date

04 November 2015

End date

30 September 2017

Overview

The Collaborative Hub for Advancing Interdisciplinary Research (CHAIR) was an EPSRC funded interdisciplinary research hub focusing on the issue of antimicrobial resistance (AMR). AMR describes the phenomena when bacteria through various mechanisms can become resistant to currently used antibiotics.

Through a series of monthly seminars we engaged with researchers across disciplines to talk about new innovative ways of tackling the issue.

Aims and objectives

The aim of CHAIR was to create and support networks of researchers who together would develop a strong collaborative community.

The focus was on developing novel strategies to detect and mitigate the emergence of antimicrobial resistance (AMR) in zoonotic pathogens. This would lead to exciting funding opportunities for engineering and physical scientists.

Team

Members

Placeholder image for staff profiles

Angela Day

CHAIR Administrator

Placeholder image for staff profiles

Dr Konstanze Hild

Teaching Fellow in Advanced Technology Institute

Roberto La Ragione profile image

Professor Roberto La Ragione

Professor of Veterinary Microbiology and Pathology

Outputs

Events

DateTalk
Wednesday 29 March

Biofilms, DNA and microbial pathogens: a market place for exchange of antimicrobial resistance?

Also reports from two CHAIR projects: 'Antifouling Coatings to Prevent Biofilm Formation', 'SPIDERS: Surface Printing to Investigate Drug Effects on Real Surfaces'.

Thursday 11 May

Modelling and Big Data: Reports from two CHAIR projects.

'AMR Data, Animal- Human- Environment ESBL transfers', and 'Modelling mycobacterial persistence'.

Thursday 8 JuneSensing and Pharmacokinetics: 'Towards selective detection of AMR bacteria with a disposable electrical sensor' and 'Understanding the Pharmacokinetics of antibiotic implants for veterinary applications'.
Tuesday 18 JulyNew and emerging threats of AMR from a global perspective: Dr Sid Thakur, North Carolina State University.
Wednesday 13 SeptemberCHAIR Celebration Event: 'The economics of antimicrobial resistance and solving the threat', Lord O'Neill.

Sandpit events

We held two sandpit events in which we gave out internal funding for collaborative projects. We had five successful projects from our first sandpit on 12 April 2016. 

Our second sandpit took place on 28 September 2016. Two of the projects funded from the first sandpit received follow on funding and three new projects were funded.

Seminars

DateSpeaker and talk
Friday 22 JanuaryEhealth: from sensing, the IoT to big data - digital innovation in animal health.
Tuesday 23 FebruaryBig data and modelling in healthcare.
Friday 11 MarchAntibiotic resistance in bacteria: the problem with TB.
Tuesday 12 AprilSandpit: Collaborative research funding event.
Monday 6 JuneTackling antimicrobial resistance: human and animal behaviour.
Monday 11 JulyDr Sid Thakur (NCSU): A systems-based 'One Health' approach to understand the complex dynamics of antimicrobial resistance (AMR) challenges.
Monday 18 JulyProf Kirill Alexandrov (Molecular Warehouse): Repurposing glucose monitoring technology for detecting DNA of infectious organisms.
Thursday 1 DecemberVictoria Wells of Antibiotic Action: The global challenge of antimicrobial resistance.
Tuesday 13 DecemberProf Elizabeth Wellington (University of Warwick) Survival of pathogenic bacteria in the environment.

DateTalk
Wednesday 4 NovemberCHAIR launch event
Friday 13 NovemberRapid diagnostics
Thursday 10 DecemberIan Gilmore (NPL): 3D metabolic imaging – the challenge going from tissue scale to single bacteria.

Projects

  • Antifouling coatings to prevent biofilm formation
  • Surface printing to investigate drug effects on real surfaces
  • Towards selective detection of AMR bacteria with a disposable electrical sensor
  • Towards low cost very rapid diagnostics
  • AMR data in time and space, animal-human-environment ESBL transfers
  • Understanding the pharmacokinetics of antibiotic implants for veterinary applications
  • Modelling mycobacterial persistence.