Science for Sustainability Hub

SDG 17: Partnerships for the Goals

Strengthen global partnerships for sustainable development

Name Area of research Description
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. 
Liz Baggs

climate smart technologies

agritechnology

environmental change

Development of mitigation strategies for greenhouse gas emissions from agri-environment systems. This includes international partnerships, and with non-academic stakeholders, to enhance a circular nutrient economy that lowers reliance on inorganic fertilisers in smallholder farming systems. 
Appolinaire Djikeng

tropical livestock

genetic improvement

smallholder farmers  

Director of the Centre for Tropical Livestock Genetics and Health (CTLGH). https://www.ctlgh.org/resources/publications/
Victor Elvira

AI

statistics

signal processing

Interested in time-series, Bayesian modeling, and statistical methods for inference/prediction. Most of the tools I develop can be directly applied in problems relevant to sustainability.
Debora Gottardello

ai

technological advancements

diversity inclusion

power

HR

Research related to the future of work and HR. How organizations and HR department can empower innovation with the right diversity & inclusion, new edge leadership and inspiring culture within workforces. Understand the way in which HR can support ecosystems that consist of more community-driven learning and enforcing social capital along with human capital.
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.
Alex Hutchison

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.
Susan Jarvis 

sustainable Food systems

agritech

animal welfare science 

I work in the area of Sustainable Food Systems, and in particular the role of animal welfare science to ensure sustainable and socially acceptable food production systems.  In regard to teaching I lead the delivery of undergraduate programmes and courses in Global Agriculture and Food Security.  I also lead the DDI Agritech Talent programme at Easter Bush Campus which is aimed at upskilling learners in data science and technology relevant to sustainable food systems.  
Afshin Mehrpouya
governance, responsible investments, business ethics
Primary focus on governance of sustainability and the role of calculative devices within. Recent work explores how use of AI and Big Data are transforming governments' approaches to citizens' behavioral governance. 
Dominic Moran
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. 
Subramanian Ramamoorthy

AI

technology in education

healthcare technologies

Expertise in Robotics and AI, with broad interests in the applications of these technologies to helping address societal problems. I am particularly interested in the application of predictive modelling and design methods to advancing healthcare technologies, and technologies for energy and sustainable systems. Also, as an educator, I am keen to explore ways to improve the quality and access to education.
Neil Robertson

drinking water

solar

rural  

Expertise in materials chemistry for application in low-cost solar photovoltaics, and electrical energy storage via batteries and supercapacitors. We also work on photocatalytic water treatment for rural communities in India, which would also be applicable to similar communities around the world. This is focused on villages where untreated surface water is currently being consumed.
Michael Rovatsos
AI and its application to sustainability
Focus on AI algorithms that can support the development of technologies supporting fairness, equality, and social justice. As part of my role at the intersection of research and innovation, I am also interested in many other areas of sustainability where AI and data science can be applied.
Joyce Tait

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. 
Maria Wolters

ehealth

human-computer interaction

Digital inclusion for health and social care. I am interested in resilient,  affordable, and easily maintainable solutions for service users and key providers. I work with LMIC partners (Uganda, Nepal, India) on mental, maternal, and population health.