Grant winners

BIOTECHNOLOGY AND BIOLOGICAL SCIENCES RESEARCH COUNCIL

Responsive Mode Grants

Values are the amounts requested. Awarded amounts may differ.

• Award winner: David Longbottom

• Institution: Moredun Research Institute

• Value: £597,000

Emerging chlamydia-like organisms as novel causes of bovine reproductive failure

• Award winner: Pat Monaghan

• Institution: University of Glasgow

• Value: £90,000

Early-life adversity, telomere length and adult cognition: the starling as an experimental model

• Award winner: Lee Smith

• Institution: University of Edinburgh

• Value: £378,000

Integrating systems biology and transgenic technologies to unlock the secrets of Sertoli cell development and function

• Award winner: Rosalind John

• Institution: Cardiff University

• Value: £385,000

Achieving a successful pregnancy: epigenetic regulation of fetal-maternal signalling

• Award winner: Gad Frankel

• Institution: Imperial College London

• Value: £383,000

The type III secretion system "translocation-stop" activity of EspZ

ECONOMIC AND SOCIAL RESEARCH COUNCIL

Successful Rising Powers and Interdependent Futures Research Grants

• Award winner: Ian Scoones

• Institution: Institute of Development Studies

• Value: £639,982

Rising powers in African agriculture: are China and Brazil bringing new paradigms to agricultural development cooperation?

• Award winner: Philip Shapira

• Institution: University of Manchester

• Value: £490,304

Emerging technologies, trajectories and implications of next-generation innovation systems development in China and Russia

NATIONAL CENTRE FOR THE REPLACEMENT, REFINEMENT AND REDUCTION OF ANIMALS IN RESEARCH - NC3Rs

Project Grants

• Award winner: Ilaria Bellantuono

• Institution: University of Sheffield

• Value: £362,777

Development of computational models of bone formation and resorption to predict changes in bone in preclinical intervention studies

• Award winner: Mark Coles

• Institution: University of York

• Value: £422,783

Human and mouse artificial lymph nodes: novel technology to reduce and replace the use of animal models in clinical and developmental immunology

IN DETAIL

National Institute for Health Research Health Technology Assessment programme

• Award winner: Daniela de Angelis

• Institution: University of Cambridge

• Value: £212,945

Real-time modelling of a pandemic influenza outbreak

To implement effective response to a pandemic, data on new infections are needed. As they predominantly come through surveillance schemes, they contain a limited amount of information and are susceptible to biases. It is preferable to use as many data sources as possible to build a picture of the current situation and predict its development. Real-time modelling uses incoming data streams to update and revise estimates of key epidemic features, the future of the pandemic and the assessment of policy effectiveness. However, such work is difficult to carry out. This project seeks to develop a tool that resolves this trade-off and can be used to make accurate epidemic assessments during a pandemic evolution.