The aim of the funds are to provide a step towards an independent research career.
Applications should focus on cross-disciplinary data science or AI. Preference will be given towards cross-disciplinary activities that address one or more of the following:
- Address one or more emerging needs, with topics such as Perverse Consequences, Risks, Ethics, Robustness, Trustworthy, Explainable and Responsible AI
- Foster external industry collaborations
- Increase engagement opportunities for underrepresented groups
Examples of interdisciplinary projects that could be funded are:
- Providing a short internship for a student, with yourself as the mentor
- Collaboration with a short industry project
- Host a skills-development or research workshop
- Building a network to pursue your next project
Who can apply? Funding is open to Early Career Researchers who are: a) employed within a University department and b) working within the remit of this call.
Deadline May 8
