Research and Innovation blog
Home About Contact Toggle navigation
Our most popular tags
View all articles A - Z
All posts using tag:
Environmental
21 April 2021
3 minutes to readBreaking Boundaries: Using microscopy to detect microplastics in sea life
A University of Exeter research group has helped to eliminate tonnes of plastic waste entering the sea, improving the health of organisms and the environment.
Read on
31 March 2021
2 minutes to readBreaking Boundaries: Addressing boardroom equality
Professor Ruth Sealy has led reviews into the diversity of leadership groups of large public and private organisations across the UK.
Read on
18 March 2021
3 minutes to readBreaking Boundaries: Improving water services across the UK
Water engineering experts at the University of Exeter have helped achieve significant savings for water companies and increased affordability and high levels of service to UK water customers.
Read on
11 February 2021
2 minutes to readBreaking Boundaries: Analysing competition and trade in food and agriculture
Research at the University of Exeter has analysed competition and trade in food and agricultural markets and developed a framework to forecast retail food prices in the UK.
Read on
3 February 2021
2 minutes to readBreaking Boundaries: Protecting marine biodiversity around the world
University of Exeter research has the protection of marine biodiversity across the world. Researchers at the University of Exeter, along with international collaborators, explored the status, distribution and behaviour of marine vertebrate species which were of commercial or conservational importance.
Read on
13 November 2020
2 minutes to readBreaking Boundaries: Using lasers to detect volcanic ash in the sky
Research at the University of Exeter helped avoid closure of UK airspace on two separate occasions in 2017 and 2019.
Read on
5 November 2020
2 minutes to readBreaking Boundaries: Warning against major diseases in Brazil
Dr Theo Economou and a research team at the University of Exeter have developed a statistical data modelling framework for prediction of disease burden, and thus warn different regions of Brazil against the threat of major diseases.
Read on