To learn more about RAMs or how to apply RAM methodologies in your research project, get in touch with our team at [email protected].
Introduction
Research Application Managers (RAMs) focus on the sustainability and impact of research, guiding the development and use of research outputs for a broad set of stakeholders. The role of a RAM was created at the Turing to help fill the gaps between purely academic knowledge generation and the work that is required to create and maintain user-friendly tools that can be used to address questions beyond the scope of the original research field.
This image was created by Scriberia for The Turing Way community and is used under a CC-BY 4.0 licence.
What skills do RAMs bring to research teams?
RAMs think beyond the research project cycle, creating opportunities to reuse and reproduce research outputs in new real-world applications. At the Turing, RAMs bring product development and stakeholder engagement skills to research teams and cultivate a practice of open collaboration, encouraging interconnectedness of research within the Institute and beyond. RAM engagements can begin at any time in the project lifecycle, and we encourage researchers to reach out to the RAM team as early as possible so that we can incorporate the user perspective and consider possible applications in the development of research outputs.
As a team, we develop and deliver an end-to-end stakeholder engagement strategy focused on adapting research outputs to be more user friendly. This includes deliverables like:
- Stakeholder mapping
- Requirements gathering & alignment
- User-centred design
- Research output development roadmapping
- Workshop delivery
Learn more about our work and access our tools and insights here.
Examples of our work
- Open sourcing the Data Safe Haven, bringing the community together to co-create a reference TRE architecture and creating a national community for Trusted Research Environments
- Supporting the AI for Decarbonisation Virtual Centre of Excellence (ADViCE) to coordinate and engage stakeholders across high-emitting sectors, foster cross-sector collaboration and develop innovative AI technologies for decarbonisation applications to support the transition to Net Zero.
- Developing the Trustworthy and Ethical Assurance (TEA) Platform in partnership with the University of York to help users to create assurance arguments with a focus on use cases for Digital Twins and Digital Healthcare
- Integrating A/B street for use in a Bristol City Council public consultation tool to empower residents to design and assess street-level interventions in their neighbourhoods
- Delivering activities and research on AI governance, regulation and standards by leveraging expertise from the AI Governance and Regulatory Innovation team and the AI Standards Hub
- Creating PitchFest at AI UK to upskill Early Career Researchers to communicate the impact of their research to a public audience