| Benjamin Bach |
data visualization
data science
public engagement
|
Working on data visualization and making data accessible and understandable by experts and non-experts. Data visualization is essential in understanding complex processes and data sets. Especially, techniques from storytelling and visual communication have huge potential to communicate findings and information to large and diverse audiences. |
| |
|
|
| Nicholle Bell |
environmental adaptation
natural capital
technologies for environmental monitoring
|
Applying advanced analytical technologies to understanding how peatlands, Earth's largest terrestrial carbon store, adapt to human activities and climate change. Many believe peatlands store carbon due to the antimicrobial properties of certain molecules, however until now our ability to 'see' inside peat has been hindered by the fact that peat is the most complex mixture on Earth. |
| Simone Dimartino |
bioprocessing
adsorption technologies
additive manufacturing
|
Broadly interested in adsorption technologies for applications ranging from manufacture of new healthcare products and foodstuff to CO2 capture. |
|
|
|
tropical livestock
genetic improvement
smallholder farmers
|
|
|
|
|
|
pastoral livelihoods
livestock systems
climate uncertainty
|
|
| Leads the Jameel Observatory for Food Security Early Action for University of Edinburgh. The Observatory is focused use of early warning technologies to better prepare for drought in East Africa. It's goals are to enhance wellbeing and reduce hunger among East African pastoral communities. |
|
| Sian Henley |
ocean science
polar regions
ocean governance
|
Focussed on making ocean science more sustainable and employing science to make human use of our fragile oceans more sustainable. Also interested in ocean science and observations to underpin effective evidence-based decision-making for ocean governance, policy and management to protect and restore them. |
|
|
data & AI for good
climate change
responsible innovation
|
The Data for Children Collaborative with UNICEF is a joint partnership between UNICEF, The Scottish Government and the University of Edinburgh’s Data Driven Innovation Programme which seeks to enable improvement in outcomes for every child. We draw on the strengths of our partners and their network to bring insight and solve problems using data and responsible innovative data practices, with a focus on delivering against the Sustainable Development Goals. Our mission is to provide the platform that brings together the appropriate data and expertise to answer our challenge questions for children across a variety of themes and geographies. |
|
|
|
sustainable Food systems
agritech
animal welfare science
|
|
| Interested in Sustainable Food Systems, and in particular the role of animal welfare science to ensure sustainable and socially acceptable food production systems. Leads the delivery of UG programmes and courses in Global Agriculture and Food Security, as well as the DDI Agritech Talent programme aimed at upskilling learners in data science and technology relevant to sustainable food systems. |
|
|
|
|
renewable energy
technological solutions to manage the nexus between climate change and poverty, social science and policy
|
|
| Interested in how policymakers and firms manage competing demands (e.g. economic vs. environmental goals) in the process of developing and providing technological solutions in response to societal challenges. |
|
| Gary Loake |
biotechnology
agritechnology
|
Interested in cultured plant cells as sustainable biomanufacturing platforms for high value chemicals, and sustainable solutions for crop protection. |
| Dimitri Mignard |
water-energy-food nexus
agritechnology
desalination
|
Technologies for irrigation, desalination and energy access, assisting with access to clean water, food production and reforestation, all using clean energy, and dedicated to serve poor communities in low income countries.
|
| Andrew Millar |
science policy
biotechnology
|
Interested in systems thinking, open research practices and science policy for partnerships, and potentially to biotechnology for a circular economy in industry, food and health. |
|
|
| environmental, agricultural and food systems economics |
|
| Interested in definitions and metrics of sustainability, economic appraisal of technological options using non-market valuation, and behavioral and political appraisal of technology adoption. |
|
|
|
| digital health and agrictech |
|
| Develop tools to support Agriculture and Public health in LMICs |
|
|
|
|
biotechnology
synthetic biology
AI
data science
|
|
| Computational modelling and data science for better biotech solutions to global sustainability challenges. |
|
| Bart Pander |
Autotrophic biotechnology business |
Interested in non-photosynthetic autotrophic microbiology and biotechnology. |
|
|
|
one health
modelling
social sciences & policy
|
|
| Modelling antimicrobial use and resistance at the livestock-human interface in LMICs, with the aim of contributing to policy guidance for increased food security and health of livestock-keepers in LMICs as well as long-term global sustainability of antimicrobial drugs. |
|
| Lynne Regan |
biotechnology
agritechnology
human health
|
Expertise in biomaterials, such as hydrogels, made exclusively from recombinant proteins produced by bacteria. This method contrasts with those that use petrochemically derived components to synthesise such materials. |
|
|
| veterinary health, internet of things |
|
| SEBI livestock (https://sebi-livestock.org/) closely works with the Gates foundation to mobilise and improve data and evidence to help the livestock community make better investments that improve livelihoods for smallholders in low and middle-income countries. |
|
|
|
|
life science innovation
policy and regulation
responsible innovation
|
|
| Focus on genetic technology solutions to challenges relevant to Net Zero and biodiversity policy objectives, considering: development of business models and value chains for innovative technologies; regulatory systems, standards and guidelines and how they can support of constrain innovation. |
|
| Christopher Wood |
biotechnology
AI
bioinformatics
|
Developing new methods for protein design. We collaborate broadly to apply our methods to address challenges in sustainability, both in agriculture and industry. We have a particular interest in developing protein-based sensors as well as novel enzymes that incorporate unnatural cofactors to expand their chemistry. |
