EFI announced recipients of its first student research awards for 2019/2020 today. These awards aim to support student projects with a focus on the production and application (through innovation) of multi-disciplinary research for the public good.
Ambition and innovation
Despite difficult circumstances owing to the Covid-19 outbreak, the panel identified nine innovative and ambitious projects that will develop in the next few months. The selected projects embrace the principle of co-design with external partners, including government, industry and the wider community.
The EFI funding call was for awards of up to £1000 – winning projects will contribute to knowledge and capacity building in Data Driven Innovation across the City of Edinburgh and beyond. They also relate to our key research programmes (Ethics of Data and Artificial Intelligence, Critical Infrastructure, CreativeTech, FinTech and financial services, Data Civics and the future of public services).
EFI Director of Research, Professor Melissa Terras said:
“EFI is very proud to support some of our most talented students though this new scheme which will allow them to develop their innovative research ideas. We are excited to see the results of these interdisciplinary projects that deal with some of the world’s most pressing issues. We look forward to sharing the outcomes of these projects with our community, over the next few months.”
Funded projects
The nine awardees are from different Schools and disciplines and will be working over the spring and summer months to deliver their projects. EFI will share progress and final works in due course.
Stephen Aboagye, Business School
Strategic analysis of African PAYG solar companies: Achieving growth and financial sustainability in the face of hyper-competition and institutional voids.
Sarah Bennett, Edinburgh College of Art, Design
AI Ethics and Society: Facilitating our AI Ethics research community in Edinburgh.
Benedetta Catanzariti, School of Social and Political Science
Digital Workshop: Unpacking challenges in facial recognition training sets.
Karen Fonstad, School of Social and Political Science
The future of climate policymaking?: Investigating the politics of expertise in citizens’ assemblies.
Fabi Jones, Edinburgh College of Art
Imagining the future of Edinburgh College of Art and creative industries through machine-learning.
Yuzhao Liu, Business School
How can natural dyeing bring new growth opportunity to traditional handmade woollens in North Scotland in the face of climate change?
Patricia Wu Wu and Asad Khan, Edinburgh College of Art
Data-driven Covid Couture probes into the digital materialisation of pandemic data-sets, to provide a new form of mourning and memorialisation in the form of computationally designed face masks.
Chunyu Zheng, School of Geosciences
Estimating policy effects on smoking inequalities within neighbourhoods through agent-based modelling.
Li Zipeng, School of Literatures, Languages and Cultures
Voicing Public Demands? Possibility, validity and effectiveness of using WeChat data for Chinese policy making in the Wuhan Coronavirus Case.
