Successful Staff Seed Corn Awardees 2022-2023 February 6, 2023 - The Jean Golding Institute's Seed Corn Scheme The Jean Golding Institute Seed Corn Funding is a fantastic opportunity to develop multi and interdisciplinary ideas and promote collaboration in data science and AI. We are delighted that a new cohort of interdisciplinary research has been supported through this funding. The Winners Tom Williams is an Associate Professor ...
Successful PGR Seed Corn Awardees 2022- 2023 January 30, 2023 - The Jean Golding Institute's Seed Corn Scheme The Jean Golding Institute are pleased to announce the Post Graduate Researcher Seed Corn Funding awards. Every year we provide seed corn funding to Post Doctoral Researchers, but this year we are pleased to also be able to provide funding to small-scale projects for Post Graduate Researchers at the University of Bristol, which ...
Successful PGR Seed Corn Awardees 2021-2022 January 10, 2023 - The Jean Golding Institute's Seed Corn Scheme The Jean Golding Institute are pleased to announce the Post Graduate Researcher Seed Corn Funding awards. Every year we provide seed corn funding to Post Doctoral Researchers, but this year we are pleased to also be able to provide funding to small-scale projects for Post Graduate Researchers at the University of Bristol, which ...
OS Data Competition Winner – Samuel Baker December 13, 2022 - We are pleased to announce that Samuel Baker (Research Associate, School of Economics) is the winner of the 2022 data exploration and visualisation competition, 'a map with a view', in association with the Ordnance Survey (OS). We would like to say a big thank you to everyone who participated in the competition, as well as ...
An Interview with Widening Participation Intern, Jacob McLaughlin December 5, 2022 - What did you enjoy about the internship? I had the opportunity to work on an interesting original project and to gain an insight into how research is conducted at the University. The JGI is a friendly team and the people there are working on a range of interesting things, while the interdisciplinary nature of the ...
An Interview with JGI Intern, Debby Olowu November 29, 2022 - An Interview with JGI Intern, Debby Olowu Hi, my name is Debby. Currently, I am a 3rd-year Psychology with Innovation student at the University of Bristol. Earlier this year, for one of my Innovation modules, I was required to complete and write about an internship I took part in. I was privileged that the Jean ... Turing Interest Groups – New groups launched November 7, 2022 - Turing Interest Groups – New groups launched The Alan Turing Institute is pleased to announce that nine new Interest Groups have been launched in October 2022. Interest Groups aim to promote research collaboration, share knowledge, and communicate emerging scientific concepts to the wider Institute and beyond, around a shared area of interest in data science ...
Secret Life of Data Competition November 2, 2022 - The Jean Golding Institute’s Secret Life of Data Competition and Awards Ceremony When we think about the security of data on our phones and computers, we might think about passwords and permissions, or about data encryption – but we rarely think about what our data looks like, or what it does as it moves around ... JGI Seed Corn Funding Project Blog 2021: Michael Rumbelow and Alf Coles October 19, 2022 - JGI Seed Corn Funding Project Blog 2021: Michael Rumbelow and Alf Coles Introduction This seed corn project aimed to explore and extend uses of AI-generated data in an educational context. We have worked on an AI-based app to recognise, gather data on and respond to children’s arrangements of wooden blocks in mathematical block play. The ...
JGI Seed Corn Funding Project Blog 2021: Conor Houghton October 17, 2022 - Bayesian methods in Neuroscience - Conor Houghton For the last century science has relied on a statistical framework based on hypothesis testing and frequentist inference. Despite its convenience in simple contexts this approach has proved to be intricate, obtuse and sometimes misleading when applied to more difficult problems, particularly problems with the sort of large, ...