Professor Thakker will act as the University of Hull’s Turing Academic Lead.
He added: “This collaboration enables our academics and postgraduate researchers to tap into the opportunities that Turing offers. Being a part of this network also gives us a platform to contribute to the shaping of Turing's research agenda and its dissemination, fostering a unified and impactful AI landscape.”
There is significant synergy between the research focus of the University of Hull and the network. This is evident in shared commitment to Responsible AI, which emphasises creating AI that is equitable, explainable, trustworthy, and safe. The university's dedication to Environment and Sustainability aligns well with Turing's Grand Challenges and Hull's Strategy 2030, which includes aiming working towards being carbon neutral. Moreover, the collaboration offers substantial opportunities to harness AI in addressing Social Justice, building on research insights from Criminology, Health Sciences, and the Wilberforce Institute for Slavery and Emancipation to tackle social inequalities.
Amy Bilton, Head of Business Engagement and Enterprise for the Centre of Excellence for Data Science, Artificial Intelligence and Modelling (DAIM), will act as the University of Hull’s Turing liaison. Amy will promote Turing opportunities, programmes, and schemes within the University to maximise our engagement with the Institute.
“Being part of the Turing University Network will enable us to continue the momentum we are building at Hull in data science and AI, through DAIM, our School of Computer Science, and a growing network of colleagues across the University who are using these transformative technologies in their teaching and research. Through our membership, we will join a UK-wide ecosystem that will facilitate new partnerships and opportunities for us to influence the national agenda in data science and AI.”