SDG 1: No Poverty

Technologies for closing the global poverty gap

Name	Areas 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.
Alex Hutchison
Raffaella Calabrese	fintech credit risk climate change	Focus on incorporating climate change in the risk assessment process of financial institutions. Working with several Fintech companies in designing new services for financially vulnerable individuals. Also supporting small businesses in improving their chance of accessing external finance.
Christine Cooper	green washing policy making abuses of power	Interested in accounting technologies and how these strongly impact upon the majority of decisions made in organisations and government.
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/
Alan Duncan	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.
Debora Gottardello	data & AI for good climate change responsible innovation	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.
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	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.
Marc Krautzberger	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.
John McCloskey	risk co-production urbanisation	We run the GCRF Tomorrow's Cities Hub which aims to reduce disaster risk for the 2 billion new urban residents of tomorrow's rapidly expanding cities. We use interdisciplinary methods to understand risk and tools for risk assessment that can democratise the concept of risk and allow poor communities to argue for safer and more human future urban expansion.
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.
Adrian Muwonge	digital health and agrictech	Develop tools to support Agriculture and Public health in LMICs
Carys Redman-White	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.
Sohan Seth	AI for social good AI for health AI for science	Interested in developing sustainable and explainable AI models from earth observation and household surveys to understand population, poverty, etc., and working with humanitarian organisations to make these tools accessible and operational. We also support data science activities throughout the University through consultancy, analysis and engagement.
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.
John Vines	design co-creation data-driven technology	Interested in issues of social responsibility around technology design and development, and co-creation of new systems with communities that are affected by and responsible for them. Conducted research around digital technologies and data-driven systems in relation to civic action, community development, and in general the role of technologies in supporting sustainable communities and address issues of social inequality.
Gary Watmough	EO4SDGS poverty mapping	Interested in how satellite data can be leveraged for monitoring poverty and livelihoods. This is because we need more data on how SDGs are progressing but the traditional ways of doing this using household surveys are time consuming and expensive.

This article was published on 2024-10-15