Category: research culture

  • Northern Ireland can be a testbed for research culture

    Northern Ireland can be a testbed for research culture

    In higher education, talk of “research culture” can sometimes feel abstract. We know it matters, but what does it actually look like in practice – and how do you change it?

    Today, we’re publishing a new report on research culture in Northern Ireland that tries to answer some of those questions. Produced in partnership with CRAC-Vitae as part of the Research Culture Northern Ireland (RCNI) initiative, and supported by the Wellcome Trust, the report draws insights from across universities, government, industry, and the voluntary sector.

    Our aim was to explore how research is experienced in a small but vibrant ecosystem, and to test whether Northern Ireland might offer a different perspective on research culture – one that could be of interest not only here, but to other regions of the UK and beyond.

    Why Northern Ireland, why now?

    Northern Ireland’s research ecosystem is distinctive. Our higher education sector is small but high-performing, regularly punching above its weight in UK and international rankings. We are separated from the rest of the UK by the Irish Sea, but uniquely, we share a land border with the EU – creating opportunities for cross-border collaboration.

    Yet there are challenges too. Levels of innovation and productivity remain lower than in the UK and Ireland overall. Access to research funding is uneven. Career mobility is limited, partly shaped by geography.

    At the same time, research and innovation are high on the policy agenda. The Northern Ireland Executive’s Programme for Government highlights ambitious R&I plans, including the creation of a regional strategy to support key sectors such as cyber security and software, advanced manufacturing and life and health sciences. The appointment of Northern Ireland’s first Chief Scientific and Technology Adviser signals stronger leadership in this space, and with the CSTA shortly bringing the regional R&I strategy forward for consultation, it highlights the significant developments since the report on research culture was commissioned. The Belfast Region City Deal is creating new innovation centres, while a recently published Collaborative Innovation Plan represents a coordinated commitment by Innovate UK, the Department for the Economy and Invest NI to accelerate inclusive and sustainable innovation across the region.

    To harness these opportunities, we need a research culture that enables collaboration across sectors, supports the talent we already have, and makes the region an attractive place for others to come and do research.

    Finding out

    Queen’s University Belfast and Ulster University jointly created RCNI with support from the Wellcome Trust to explore research culture in more depth, and to test interventions that might help address challenges.

    Alongside pilot projects on postdoctoral careers, practice-as-research, and the role of research professionals, we commissioned CRAC-Vitae to examine Northern Ireland’s research ecosystem through survey data (167 responses), interviews (17), and focus groups. The aim was not only to generate evidence specific to our context, but also to explore whether familiar UK-wide challenges looked different – or perhaps more visible – in a small system.

    The findings are grouped into five themes. None of them are unique to Northern Ireland – but they resonate in ways that may feel familiar to colleagues elsewhere:

    Collaboration and coordination. Collaboration is widespread, with 80 per cent of respondents reporting that they had worked with an external organisation. However, qualitative data revealed that collaborations are often informal, relying on personal networks. Smaller organisations can be excluded, and visibility across the system is limited.

    Career pathways and talent development. Career progression is constrained by limited opportunities with 59 per cent of respondents identifying a lack of progression routes. Pathways are often fragmented, and cross-sector mobility remains low, with 52 per cent of respondents reporting difficulty moving between sectors. Talent is underutilised as a result.

    Understanding and communicating the value of research. Research has enormous civic and community benefits, but these are undervalued and misunderstood – limiting recognition and policy impact.

    Reducing administrative burden. Bureaucracy, compliance, and regulatory hurdles disproportionately affect SMEs and non-HE actors, creating inefficiencies and blocking participation.

    Strategic vision and system reform. Stakeholders see a fragmented and opaque system, lacking shared vision and coherence – only 31 per cent of survey respondents agreed there is a shared strategic vision for R&I in NI – a situation compounded by political instability.

    We know this is a small sample and just one piece in a growing evidence base. But it offers useful starting points for further discussion – and perhaps areas where regions could work together.

    Reflections for small regions

    Looking across these findings, a few reflections stand out that may be of interest to other small regions with strong research ecosystems.

    First, proximity can be a strength. The size and concentration of institutions, government, and industry in a defined area creates real opportunities to build effective networks and shared understanding of barriers. In particular, it can help identify and tackle bureaucratic friction more quickly.

    Next, that collaboration is essential – but needs structure. In small systems, personal connections carry weight. That can be a strength, but risks becoming exclusive and unwelcoming to newcomers. Creating formal mechanisms for inclusion is key.

    There’s also work to be done on harnessing existing talent. With only a handful of research-intensive institutions, we need to do more to support and retain the talent we already have. Not every research student or postdoc will have an academic career – but their skills are vital to other sectors and to addressing regional challenges.

    Finally, a joined-up voice matters. A coherent strategic focus and communication plan helps small regions do more with less. Playing to strengths, and presenting a clear message externally, is critical to attracting funding and partnerships. This project, a partnership between Queen’s and Ulster, embodies that.

    These are not answers, but starting points for reflection – and perhaps for collaboration across regions that face similar issues.

    Where could this go?

    We are realistic: these challenges cannot be solved by one project, or even one region. Our next steps will therefore follow a dual approach: influencing system-level reforms through evidence, advocacy, and convening – recognising that changes to policy and funding lie with government and funders – and also testing project-level interventions through pilot projects, generating practical learning that might inform broader reforms.

    The first of these involves a new collaboration with CRAC-Vitae to pilot innovative approaches to tracking the career outcomes of postdoctoral researchers in Northern Ireland. This aligns with our “people first” focus for this project, recognising that our research and innovation ecosystem is nothing without the talent and ideas that populate it.

    If successful, we hope that coordinated career tracking will help identify mobility trends, sectoral destinations, and skill gaps across the R&I workforce – providing the evidence needed to strengthen cross-sector pathways and retain and develop talent within NI’s R&I ecosystem.

    Building on other RCNI work exploring postdoctoral career development, these efforts aim to build a clearer picture of how people move through and beyond the research ecosystem – and how policies and practices can better support their progression.

    Although modest in scale, this pilot will address an area with little existing evidence and may offer a model for others seeking to strengthen mobility and progression across the research ecosystem.

    An invitation to reflect

    So what does this mean for colleagues elsewhere? We don’t claim to have the answers. But we think Northern Ireland’s experience highlights issues that many regions face – and raises questions that might be useful to explore collectively.

    If proximity can be a strength, how do we best harness it? If collaboration relies too heavily on personal networks, how do we make it more inclusive? If we want to value research talent beyond academia, how do we support those careers in practice? And if small regions need a joined-up voice, how do we achieve it without losing diversity?

    Northern Ireland is a small system, but that makes its challenges and opportunities more visible. We hope this report is not only useful here, but a provocation to reflect on how small research ecosystems across the UK – and beyond – might learn together.

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  • More comprehensive EDI data makes for a clearer picture of staff social mobility

    More comprehensive EDI data makes for a clearer picture of staff social mobility

    Asking more granular EDI questions of its PGRs and staff should be a sector priority. It would enable universities to assess the diversity of their academic populations in the same manner they have done for our undergraduate bodies – but with the addition of a valuable socio-economic lens.

    It would equip us more effectively to answer basic questions regarding how far the diversity in our undergraduate community leads through to our PGT, PGR and academic populations, as well as see where ethnicity and gender intersect with socio-economic status and caring responsibilities to contribute to individuals falling out of (or choosing to leave) the “leaky” academic pipeline.

    One tool to achieve this is the Diversity and Inclusion Survey (DAISY), a creation of Equality, Diversity and Inclusion in Science and Health (EDIS) and the Wellcome Trust. This toolkit outlines how funders and universities can collect more detailed diversity monitoring data of their staff and PGRs as well as individuals involved in research projects.

    DAISY suggests questions regarding socio-economic background and caring responsibilities that nuance or expand upon those already in “equal opportunities”-type application forms that exist in the sector. DAISY asks, for example, whether one has children and/or adult dependents, and how many of each, rather than the usual “yes” or “no” to “do you have caring responsibilities?” Other questions include the occupation of your main household earner when aged 14 (with the option to pick from categories of job type), whether your parents attended university before you were 18, and whether you qualified for free school meals at the age of 14.

    EDI data journeys across the sector

    As part of an evolving data strategy, UCAS already collects several DAISY data points on their applicants, such as school type and eligibility for free school meals, with the latter data point is gaining traction across the university sector and policy bodies as a meaningful indicator for disadvantage.

    Funders are interested in collecting more granular EDI data. The National Institute for Health and Care Research (NIHR), for example, invested around £800 million in the creation of Biomedical Research Centres in the early 2020s. The NIHR encouraged the collection of DAISY data specifically on both the researchers each centre would employ and the individuals they would research upon, in the belief (see theme four of their research inclusion strategy) that a diverse researcher workforce will make medical science more robust.

    The diversity monitoring templates attached to recent UKRI funding schemes similarly highlight the sector’s desire for more granular EDI data. UKRI’s Responsive Mode Scheme, for example, requires institutions to benchmark their applicants against a range of protected characteristics, including ethnicity, gender, and disability, set against the percentage of the “researcher population” at the institution holding those characteristics. The direction of travel in the sector is clear.

    What can universities do?

    Given the data journeys of UCAS and funding bodies, it is sensible and proportionate, therefore, that universities ask more granular EDI questions of their PGRs and their staff. Queen Mary began doing so, using the DAISY toolkit as guide, for its staff and PGRs in October 2024, alongside work to capture similar demographic data in the patient population involved in clinical trials supported by Queen Mary and Barts NHS Health Trust.

    While we have excellent diversity in our undergraduate community, we see less in our PGR and staff communities, and embedding more granular data collection into our central HR processes for staff and admissions processes for PGRs allows us to assess (eventually, at least, given adequate disclosure rates) how far the diversity in our undergraduate population leads through to our PGT, PGR and academic population.

    Embedding the collection of more granular EDI data into central HR and admissions systems required collaboration across Queen Mary’s Research Culture, EDI, and HR teams, creating new information forms and systems to collect the data while ensuring it could be linked to other datasets. The process was also quickened by a clinical trials unit in our Faculty of Medicine & Dentistry who had piloted the collection of this data already on a smaller scale, providing a proof of concept for our colleagues in HR.

    EDI data and the PGR pipeline

    Securing the cooperation of our HR and EDI colleagues was made easier thanks to our doctoral college, who had already incorporated the collection of more granular EDI data into an initiative aimed at increasing the representation of Black British students in our PGR community: the STRIDE programme.

    Standing for “Summer Training Research Initiative to Support Diversity and Equity”, STRIDE gives our BAME undergraduate students the opportunity to undertake an eight-week paid research project over the summer, alongside a weekly soft skills programme including presentation and leadership training. Although the programme has run annually since 2020 with excellent outcomes (almost 70 per cent of the first cohort successfully applied to funded research programmes), incorporating more granular EDI questions into the application form for the 2024 cohort of 425 applicants highlighted intersectional barriers to postgraduate study faced by our applicants that would have been obscured had we only collected basic EDI data.

    Among other insights, 47 per cent of applicants to STRIDE had been eligible at some point for free school meals. This contrasts with our broader undergraduate community, 22 per cent of whom were eligible for free school meals. Some 55 per cent of applicants reported that neither of their parents went to university, and 27 per cent reported that their parents had routine or semi-routine manual jobs. Asking questions beyond the usual suite of EDI questions allows us here to picture more clearly the socio-economic and cultural barriers that intersect with ethnicity to make entry into postgraduate study more difficult for members of underrepresented communities.

    The data chimed with internal research we conducted in 2021, where we discovered that many of the key barriers to our undergraduates engaging in postgraduate research were the same as those who were first in family to go to university, namely lack of family understanding of a further degree and lack of understanding regarding the financial benefits of completing a postgraduate research degree.

    Collecting more granular EDI data will allow us to understand and support diversity that is intersectional, while enabling more effective assessment of whether Queen Mary is moving in the right direction in terms of making research degrees (and research careers) accessible to traditionally underrepresented communities at our universities. But collecting such data on our STRIDE applicants makes little sense without equivalent data from our PGR and academic community – hence Queen Mary’s broader decision to embed DAISY data collection into its systems.

    The potential of DAISY

    As Queen Mary’s experience with STRIDE demonstrates, nuancing our collection of EDI data comes with clear potential. Given adequate disclosure rates, collecting more granular EDI data makes possible more effective intersectional analyses of our PGRs and staff across our sector, and helps understand the social mobility of our PGRs and staff with more nuance, leading to a clearer image of the journey that those from less privileged social backgrounds and/or those with caring responsibilities face across our sector.

    More broadly, universities will always be crucial catalysts of social mobility, and collecting more granular data on socio-economic background alongside the personal data they already collect – such as gender, ethnicity, religion and other protected characteristics – is a logical and necessary next step.

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  • REF panels must reflect the diversity of the UK higher education sector

    REF panels must reflect the diversity of the UK higher education sector

    As the sector begins to prepare for REF 2029, with a greater emphasis on people, culture and environment and the breadth of forms of research and inclusive production, one critical issue demands renewed attention: the composition of the REF panels themselves. While much of the focus rightly centres on shaping fairer metrics and redefining engagement and impact, we should not overlook who is sitting at the table making the judgments.

    If the Research Excellence Framework is to command the trust of the full spectrum of UK higher education institutions, then its panels must reflect the diversity of that spectrum. That means ensuring meaningful representation from a wide range of universities, including Russell Group institutions, pre- and post-92s, specialist colleges, teaching-led universities, and those with strong regional or civic missions.

    Without diverse panel representation, there is a real risk that excellence will be defined too narrowly, inadvertently privileging certain types of research and institutional profiles over others.

    Broadening the lens

    Research excellence looks different in different contexts. A university with a strong regional engagement strategy might produce research that is deeply embedded in local communities, with impacts that are tangible but not easily measured by traditional academic metrics, but with clear international excellence. A specialist arts institution may demonstrate world-leading innovation through creative practice that doesn’t align neatly with standard research output categories.

    The RAND report looking at the impact of research through the lens of the REF 2021 impact cases rightly recognised the importance of “hyperlocality” – and we need to ensure that research and impact is equally recognised in the forthcoming REF exercise.

    UK higher education institutions are incredibly diverse, with different institutions having distinct missions, research priorities, and challenges. REF panels that lack representation from the full spectrum of institutions risks bias toward certain types of research outputs or methodologies, particularly those dominant in elite institutions.

    Dominance of one type of institution on the panels could lead to an underappreciation of applied, practice-based, or interdisciplinary research, which is often produced by newer or specialist institutions.

    Fairness, credibility, and innovation

    Fair assessment depends not only on the criteria applied but also on the perspectives and experiences of those applying them. Including assessors from a wide range of institutional backgrounds helps surface blind spots and reduce unconscious bias. It also allows the panels to better understand and account for contextual factors, such as variations in institutional resources, missions, and community roles, when evaluating submissions.

    Diverse panels also enhance the credibility of the process. The REF is not just a technical exercise; it shapes funding, reputations, and careers. A panel that visibly includes internationally recognised experts from across the breadth of the sector helps ensure that all institutions – and their staff – feel seen, heard, and fairly treated, and that a rigorous assessment of UK’s research prowess is made across the diversity of research outputs whatever their form.

    Academic prestige and structural advantages (such as funding, legacy reputations, or networks) can skew assessment outcomes if not checked. Diversity helps counter bias that may favour research norms associated with more research established institutions. Panel diversity encourages broader thinking about what constitutes excellence, helping to recognize high-quality work regardless of institutional setting.

    Plus there is the question of innovation. Fresh thinking often comes from the edges. A wider variety of voices on REF panels can challenge groupthink and encourage more inclusive and creative understandings of impact, quality, and engagement.

    A test of the sector’s commitment

    This isn’t about ticking boxes. True diversity means valuing the insights and expertise of panel members from all corners of the sector and ensuring they have the opportunity to shape outcomes, not just observe them. It also means recognising that institutional diversity intersects with other forms of diversity, including protected characteristics, professions and career stage, which must also be addressed.

    The REF is one of the most powerful instruments shaping UK research culture. Who gets to define excellence in the international context has a profound impact on what research is done, how it is valued, and who is supported to succeed. REF panels should reflect the diversity of UK HEIs to ensure fairness, credibility, and a comprehensive understanding of research excellence across all contexts.

    If REF 2029 is to live up to the sector’s ambitions for equity, inclusion, and innovation, then we must start with its panels. Without diverse panels, the REF risks perpetuating inequality and undervaluing the full range of scholarly contributions made across the sector, even as it evaluates universities on their own people, culture, and environment. The composition of those panels will be a litmus test for how seriously we take those commitments.

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  • Coaching can be a strategic act of research culture

    Coaching can be a strategic act of research culture

    In higher education institutions, we often speak of “developing talent,” “building capacity,” or “supporting our people.” But what do those phrases really mean when you’re a researcher navigating uncertainty, precarity, or a system that too often assumes resilience, but offers limited resources?

    With the renewed focus of REF 2029 on people, culture and environment, and the momentum of the Concordat to Support the Career Development of Researchers, there’s a growing imperative to evidence not only what support is offered, but how it’s experienced.

    That’s where I believe that coaching comes in – as a strategic, systemic tool for transforming research culture from the inside out.

    At a time when UK higher education is facing significant financial pressures, widespread restructuring, and the real threat of job losses across institutions, it may seem counterintuitive to invest in individuals’ development. But it is precisely because of this instability that our commitment to people must be more visible and deliberate than ever. In moments of systemic strain, the values we choose to protect speak volumes. Coaching offers one way to show – through action, not just intention – that our researchers matter, that their growth is not optional, and that culture isn’t a casualty of crisis, but a lever for recovery.

    By coaching, I mean a structured, confidential, and non-directive process that empowers individuals to reflect, identify goals and navigate challenges. Unlike mentoring, which often involves sharing advice or experience, coaching creates a thinking space led by the individual, where the coach supports them to surface their own insights, unpick the unspoken dynamics of academia, build confidence in their agency, and cultivate their personal narrative of progress.

    Coaching is not just development – it’s disruption

    We tend to associate coaching with senior leadership, performance management, or executive transition. But over the last seven years, I’ve championed coaching for researchers – especially early career researchers – as a means of shifting the developmental paradigm from “this is what you need to know” to “what do you need, and how can we co-create that space?”

    When coaching is designed well – thoughtfully matched, intentionally scaffolded, and thoughtfully led – it becomes a quiet form of disruption. It gives researchers the confidence to think through difficult questions. And it models a research culture where vulnerability is not weakness but wisdom.

    This is especially powerful for those who feel marginalised in academic environments – whether due to career stage, background, identity or circumstance. One early career researcher recently told me that coaching “helped me stop asking whether I belonged in academia and start asking how I could shape it. For the first time, I felt like I didn’t have to shrink myself to fit in.” That’s the kind of feedback you won’t find in most institutional KPIs – but it says a lot about the culture we’re building.

    Why coaching belongs in your research strategy

    Coaching still suffers from being seen as peripheral – a nice-to-have, often under-resourced and siloed from mainstream provision. Worse, it’s sometimes positioned as remedial, offered only when things go wrong.

    As someone who assesses UK institutions for the European Commission-recognised HR Excellence in Research Award, I’ve seen first-hand how embedding coaching as a core element of researcher support isn’t just the right thing to do – it’s strategically smart. Coaching complements and strengthens the implementation of institutional actions for the Concordat to Support the Career Development of Researchers, by centring the individual researcher experience – not just a tick-box approach to the principles.

    What’s striking is how coaching aligns with the broader institutional goals we often hear in strategy documents: autonomy, impact, innovation, wellbeing, inclusion. These are not incidental outcomes; they’re the foundations of a healthy research pipeline, and coaching delivers on these – but only if we treat it as a central thread of our culture, not a side offer.

    Crucially, coaching is evidence of how we live our values. It offers a clear, intentional method for demonstrating how people and culture are not just statements but structures – designed, delivered, and experienced.

    In REF 2029 institutions will be asked to evidence the kind of environment where research happens. Coaching offers one of the most meaningful, tangible ways to demonstrate that such an environment exists through the lived experiences of the people working within it.

    Culture is personal – and coaching recognises that

    In higher education, we often talk about culture as though it’s something we can declare or design. But real culture – the kind that shapes whether researchers thrive or withdraw – is co-created, day by day, through dialogue, trust, and reflection.

    Culture lives in the everyday, unrecorded interactions: the invisible labour of masking uncertainty while trying to appear “resilient enough” to succeed; the internal negotiation before speaking up in a lab meeting; or the emotional weight carried by researchers who feel like they don’t belong.

    Coaching transforms those invisible moments into deliberate acts of empowerment. It creates intentional, reflective spaces where researchers – regardless of role or background – are supported to define their own path, voice their challenges, and recognise their value. It’s in these conversations that inclusion is no longer an aspiration but a lived reality where researchers explore their purpose, surface their barriers, and recognise their value.

    This is especially needed in environments where pressure to perform is high, and space to reflect is minimal. Coaching doesn’t remove the pressures of academia. But it builds capacity to navigate them with intention – and that’s culture work at its core.

    Embedding a coaching culture as part of researcher development shouldn’t be a fringe benefit or pilot project – it should be an institutional expectation. We need more trained internal coaches who understand the realities of academic life and more visibly supported coaching opportunities aligned with the Researcher Development Concordat. The latter encourages a minimum of ten days’ (pro rata) professional development for research staff per year. Coaching is one of the most impactful ways those days can be used – not just to develop researchers, but to transform the culture they inhabit.

    A call to embed – not bolt on

    If we’re serious about inclusive, people-centred research environments, then coaching should be treated as core business. It should not be underfunded, siloed, or left to goodwill. It must be valued, supported, and embedded – reflected in institutional KPIs, Researcher Development Concordat and Research Culture Action Plans, and REF narratives alike.

    And in a sector currently under intense financial pressure, we should double down on culture as a lived commitment to those we ask to do difficult, meaningful work during difficult, uncertain times. Coaching is a strategic lever for equity, integrity, and excellence.

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  • Action on researcher career development must go beyond surface-level fixes

    Action on researcher career development must go beyond surface-level fixes

    The Concordat to Support the Career Development of Researchers was designed to drive culture change, not compliance. However, many institutional action plans suggest institutions are meeting the letter rather than the spirit of its commitments.

    Financial constraints and the evolving REF 2029 people, culture and environment (PCE) guidance are shaping how institutions support research staff, and universities face a choice: stick with the easy, surface-level interventions that look good on paper, or commit to the tougher, long-term changes that could truly improve research careers.

    The latter is difficult, resource-intensive, and politically fraught – but it is the only route to a research culture that is genuinely sustainable.

    Progress and pressures

    There has been real progress in embedding researcher development in UK higher education. The 2019 review of the concordat highlighted expanded training opportunities, strengthened mentoring schemes, and, crucially, the integration of researcher development into institutional strategies and governance. Many institutions have since used its principles to shape research culture action plans and strategies.

    This progress has been uneven, however. Access to high-quality training and development opportunities varies across the sector, particularly for researchers in smaller, less well-resourced institutions. In addition, new initiatives frequently lack long-term sustainability beyond initial funding.

    Institutional action plans tend to emphasise soft politics – awards, charters and resource hubs – which, while useful, may function as reputational signals more than mechanisms for change. Meanwhile, the concordat’s more challenging commitments, like improving job security, workload management, and the visibility of career pathways across sectors, receive less attention.

    Financial constraints and shifting priorities

    Universities are operating in an era of financial constraint forcing difficult decisions about what can be sustained and what must be scaled back. These financial pressures are already reshaping researcher development and career pathways, with potentially lasting consequences:

    Shift toward low-cost interventions: Institutions may prioritise training, mentoring, and “off the shelf” development workshops as the most financially viable options, while more complex reforms – such as improving career pathways, addressing workload pressures, and ensuring meaningful career learning – are pushed aside.

    Growing precarity and inequity in research careers: With the risk of non-renewal of fixed-term contracts and rising redundancies, instability may increase. The effects will likely be unequal – early-career researchers, those with caring responsibilities, and underrepresented groups are usually most affected in such situations, with workload pressures further widening existing inequities in career progression and retention.

    Shifts in career trajectories: Financial pressures will push more researchers to seek opportunities beyond academia, not always by choice but due to diminishing prospects within universities. This is not in itself a bad thing, but the absence of robust career tracking data, limited engagement with non-academic sectors, and a lack of structured support for diverse pathways mean that institutions risk making decisions in a vacuum.

    Without a clear understanding of where researchers go and what they need to thrive, researcher development may become misaligned with market realities – undermining both retention and outcomes. Initiatives like CRAC-Vitae’s new UK research career tracking initiative aim to close this critical evidence gap.

    What makes researcher development sustainable?

    What will actually make researcher development sustainable? The answer isn’t simply more initiatives, or cheaper ones – it’s about embedding development in institutional culture and building on evidence of what works. That means making time for development activities, creating space for strategic reflection, and encouraging researchers to learn from one another – not just offering mentoring or reciprocal schemes in isolation. Vitae’s refreshed Researcher Development Framework sets out the full breadth of what this encompasses.

    Researcher development doesn’t necessarily require large budgets. Much of it comes down to embedding development in the culture: time to pursue meaningful opportunities, support from line managers and supervisors to do so, and the ability to learn in community with others. Yet in times of crisis, workloads tend to rise – and it’s often this development time that’s seen as non-essential and cut. Around half of research staff do not have time to invest in professional development – demonstrating just how limited that space already is.

    These overlapping pressures are pushing institutions to make trade-offs – but it’s clear that the most effective and sustainable approaches to researcher development will depend not just on resource levels, but on institutional priorities and strategic leadership.

    Unmet expectations

    At the same time, the ongoing review of sector-wide concordats and agreements, meant to clarify priorities and improve alignment, seems to have stalled – raising concerns about whether it will lead to meaningful action. The Researcher Development Concordat Strategy Group, tasked with overseeing implementation and strategic coordination, has also been quiet over the last year, though the new chair has recently signalled renewed commitment to its activities.

    This stagnation raises questions about the long-term value of the concordat, particularly in a landscape where institutions are grappling with resource constraints. Without strong leadership and coordinated sector-wide action, there is a real risk that institutions will continue to take a fragmented, compliance-driven approach rather than pursuing deeper reform.

    If the concordat is to remain relevant, it must address the structural issues it currently skirts around – particularly those related to researcher employment conditions, workload sustainability, and career progression. Without this, it risks becoming another well-intentioned initiative that falls short of delivering real sector-wide change.

    PCE and the concordat

    The introduction of people, culture and environment (PCE) in REF 2029 was intended to shift the sector’s focus from research outputs to the broader conditions that enable research excellence. However, the way institutions interpret these requirements is critical.

    REF PCE has the potential to drive meaningful change – but only if institutions use it as a platform for genuine reflection rather than a showcase of best practices.

    PCE and the concordat share several ambitions: both emphasise inclusive research environments, professional development, and supporting leadership at all career stages. The concordat’s focus on employment conditions, researcher voice, and long-term career development also aligns with PCE’s emphasis on institutional responsibility for research culture.

    This coherence is no accident – PCE was co-developed with the sector, and the concordats and agreements review recognised the overlaps between existing frameworks.

    If institutions take a strategic, integrated approach, REF PCE could reinforce and enhance existing concordat commitments rather than becoming another compliance exercise. However, this requires institutions to go beyond superficial reporting and demonstrate tangible improvements in the working conditions and career pathways of researchers.

    A call to action

    If institutions want to move beyond just ticking boxes, they need to take bold, practical steps.

    Job security must be redefined in the current climate. Researcher development should not just focus on career skills and knowledge but on career sustainability, accountability, and agility. While reducing reliance on fixed-term contracts remains a long-term goal, immediate priorities must also include clearer career progression routes (within and beyond higher education), cross-sector mobility, and support for career transitions.

    Workload and pay transparency need urgent attention. As researchers face increasing uncertainty about their career trajectories, solutions must go beyond surface-level fixes. This requires coordinated policy reform at both institutional and sector levels, including meaningful workload management strategies, transparent pay equity audits, and governance processes that embed researcher voices. While wellbeing initiatives have value, they are not a substitute for structural reform.

    Finally, the role of the concordat strategy group must evolve in response to the current climate. With institutions facing severe financial constraints and a shrinking research workforce, the group must take a more proactive role in advocating for sustainable researcher careers. This includes setting clearer expectations for institutions, addressing gaps in employment stability, and ensuring that commitments to researcher development are not lost amid cost-cutting measures. Without stronger leadership at the sector level, there is a risk that the concordat will become little more than a bureaucratic exercise, rather than a meaningful driver of change.

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  • How our researchers are using AI – and what we can do to support them

    How our researchers are using AI – and what we can do to support them

    We know that the use of generative AI in research is now ubiquitous. But universities have limited understanding of who is using large language models in their research, how they are doing so, and what opportunities and risks this throws up.

    The University of Edinburgh hosts the UK’s first, and largest, group of AI expertise – so naturally, we wanted to find out how AI is being used. We asked our three colleges to check in on how their researchers were using generative AI, to inform what support we provide, and how.

    Using AI in research

    The most widespread use, as we would expect, was to support communication: editing, summarising and translating texts or multimedia. AI is helping many of our researchers to correct language, improve clarity and succinctness, and transpose text to new mediums including visualisations.

    Our researchers are increasingly using generative AI for retrieval: identifying, sourcing and classifying data of different kinds. This may involve using large language models to identify and compile datasets, bibliographies, or to carry out preliminary evidence syntheses or literature reviews.

    Many are also using AI to conduct data analysis for research. Often this involves developing protocols to analyse large data sets. It can also involve more open searches, with large language models detecting new correlations between variables, and using machine learning to refine their own protocols. AI can also test complex models or simulations (digital twins), or produce synthetic data. And it can produce new models or hypotheses for testing.

    AI is of course evolving fast, and we are seeing the emergence of more niche and discipline-specific tools. For example, self taught reasoning models (STaRs) can generate rationales that can be fine-tuned to answer a range of research questions. Or retrieval augmented generation (RAG) can enable large language models to access external data that enhances the breadth and accuracy of their outputs.

    Across these types of use, AI can improve communication and significantly save time. But it also poses significant risks, which our researchers were generally alert to. These involve well-known problems with accuracy, bias and confabulation – especially where researchers use AI to identify new (rather than test existing) patterns, to extrapolate, or to underpin decision-making. There are also clear risks around sharing of intellectual property with large language models. And not least, researchers need to clearly attribute the use of AI in their research outputs.

    The regulatory environment is also complex. While the UK does not as yet have formal AI legislation, many UK and international funders have adopted guidelines and rules. For example, the European Union has a new AI Act, and EU funded projects need to comply with European Commission guidelines on AI.

    Supporting responsible AI

    Our survey has given us a steer on how best to support and manage the use of AI in research – leading us to double down on four areas that require particular support:

    Training. Not surprisingly the use of generative AI is far more prevalent among early career researchers. This raises issues around training, supervision and oversight. Our early career researchers need mentoring and peer support. But more senior researchers don’t necessarily have the capacity to keep pace with the rapid evolution of AI applications.

    This suggests the need for flexible training opportunities. We have rolled out a range of courses, including three new basic AI courses to get researchers started in the responsible use of AI in research, and online courses on ethics of AI.

    We are also ensuring our researchers can share peer support. We have set up an AI Adoption Hub, and are developing communities of practice in key areas of AI research – notably research in AI and Health which is one of the most active areas of AI research. A similar initiative is being developed for AI and Sustainability.

    Data safety. Our researchers are rightly concerned about feeding their data into large language models, given complex challenges around copyright and attribution. For this reason, the university has established its own interface with the main open source large language models including ChatGPT – the Edinburgh Language Model (ELM). ELM provides safer access to large language model, operating under a “zero data retention” agreement so that data is not retained by Open AI. We are encouraging our researchers to develop their own application programming interfaces (APIs), which allow them to provide more specific instructions to enhance their results.

    Ethics. AI in research throws up a range of challenges around ethics and integrity. Our major project on responsible AI, BRAID, and ethics training by the Institute for Academic Development, provide expertise on how we adapt and apply our ethics processes to address the challenges. We also provide an AI Impact Assessment tool to help researchers work through the potential ethical and safety risks in using AI.

    Research culture. The use of AI is ushering in a major shift in how we conduct research, raising fundamental questions about research integrity. When used well, generative AI can make researchers more productive and effective, freeing time to focus on those aspects of research that require critical thinking and creativity. But they also create incentives to take short cuts that can compromise the rigour, accuracy and quality of research. For this reason, we need a laser focus on quality over quantity.

    Groundbreaking research is not done quickly, and the most successful researchers do not churn out large volumes of papers – the key is to take time to produce robust, rigorous and innovative research. This is a message that will be strongly built into our renewed 2026 Research Cultures Action Plan.

    AI is helping our researchers drive important advances that will benefit society and the environment. It is imperative that we tap the opportunities of AI, while avoiding some of the often imperceptible risks in its mis-use. To this end, we have decided to make AI a core part of our Research and Innovation Strategy – ensuring we have the right training, safety and ethical standards, and research culture to harness the opportunities of this exciting technology in an enabling and responsible way.

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  • Supporting the careers of researchers means innovation, not isolation

    Supporting the careers of researchers means innovation, not isolation

    The phrase attributed to Sir Isaac Newton, “if I have seen further, it is because I have stood on the shoulders of giants,” is often used as a metaphor for research and innovation: how each great thinker builds on the thoughts and research of others, the unending column of prize winners and esteemed fellows pursuing academic endeavour.

    However, the environment I sought as a researcher and aim to enable as a university leader is more of a supportive collective, certainly one with a much less precarious base.

    Perhaps the most important lessons learnt during my own research career was that the giants of research, innovation and knowledge exchange whose shoulders we are more often standing on are not the senior staff but rather the PhD students, early career researchers, postdoctoral fellows and technicians, who turn challenging questions posed into the most exciting innovative answers. And often without the bias of doing things the way we have in the past.

    Untangling

    Achieving the UK’s priority of innovation and the growth it drives requires a long-range vision to set direction matched with agility to rapidly pivot as new opportunities arise. This agility needs a skilled research workforce and the attraction of the brightest minds into roles at all stages of a research and innovation career.

    However, these giants, whose shoulders we balance UK innovation on, need long-term confidence to initiate a career which currently has precarity baked in. Growing investment to support research and innovation is needed, but investment in equipment, facilities and consumables will not succeed without engaged and enabling expertise.

    Alongside this, regional disparity of funding, low research cost recovery, and increasing regulatory demands are posing the question of how much research can any university afford to undertake. The simple answer may appear to be to do less, or divert funding to specialist institutes without dual responsibility for teaching – however, this would undermine the agility that is underpinned by broad expertise, civic and industrial partnerships and infrastructure which resides across our higher education institutions.

    Fixing this knotty problem needs a systematic approach, balancing external and internal funding alongside improved recovery of the true cost of research. With restrictions in the sector and reduced internal funding impacting decisions, it is imperative to not forget the essential role of the precarious base on which our research activity in the UK is built – and to support it accordingly.

    Concordat priorities

    My commitment to career development and recognition of researchers is why I am excited to be continuing the great work led by Julia Buckingham as the incoming chair of the Researcher Development Concordat Strategy Group, which oversees the Researcher Development Concordat.

    The concordat was first published in 2019, building on agreements of funding bodies and universities over a decade earlier. The current signatories are over 100 higher education and research institutes, who commit to the principles of environment and culture, employment, and career development for researchers in our institutions and 17 funding agencies who set grant holder requirements relating to the concordat commitments.

    The concordat has recently undergone a review which identified future areas of focus to achieve continued effectiveness. Three priorities were identified:

    First, agreeing a set of shared principles to define the characteristics of a positive environment for research culture, and second, working to a shared set of research culture values with measurable indicators of progress. We seek to align a set of shared broad principles to define the characteristics of a positive environment for research culture. While these must link to the REF people, culture and environment measures, they need to be high-level shared principles and ensure that they define measurable indicators of progress to avoid confusion across multiple agendas. These also need to be high enough level to ensure a collective agreement to deliver whilst also accommodating the diversity and breadth of higher education institutions and research organisations.

    The third priority is simplifying the bureaucracy. This is essential in a sector with ever-growing demands of attention and associated costs to deliver. While we must maintain accountability, we need to simplify the bureaucracy to work in service of our principles and values, not dictate them. In short, we must simplify for our communities how the different national concordats can complement rather than compete for attention. To achieve this, we are reviewing and reforming reporting requirements to achieve better alignment and to incorporate them into existing reporting where possible. We are working with other bodies to align data and reporting requirements.

    I am also keen to work with industry body representatives to understand and reduce barriers to the movement of careers from academia to industry and vice versa. This porosity of career is needed for both innovation and rapid business adoption of innovative ideas. For this porosity to support innovation and growth we also need to enhance engagement from the industry to support researchers throughout a changing career.

    While this work is delivered by the concordat strategy group, the concordat is collectively owned by the sector and continued engagement is needed to ensure the concordat is fit for purpose. Given this, we are looking for engagement in future work, more details about which can be found on the concordat webpage. I look forward to working with higher education institutions, industry, funders, the Researcher Development Concordat Strategy Group, and individuals to deliver our collective commitments.

    The Researcher Development Concordat Strategy Group secretariat is jointly funded through funding bodies from the four nations: Research England, the Scottish Funding Council, Medr (previously HEFCW), and the Department for the Economy in Northern Ireland. I thank them for their continued support.

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  • Another way of thinking about the national assessment of people, culture, and environment

    Another way of thinking about the national assessment of people, culture, and environment

    There is a multi-directional relationship between research culture and research assessment.

    Poor research assessment can lead to poor research cultures. The Wellcome Trust survey in 2020 made this very clear.

    Assessing the wrong things (such as a narrow focus on publication indicators), or the right things in the wrong way (such as societal impact rankings based on bibliometrics) is having a catalogue of negative effects on the scholarly enterprise.

    Assessing the assessment

    In a similar way, too much research assessment can also lead to poor research cultures. Researchers are one of the most heavily assessed professions in the world. They are assessed for promotion, recruitment, probation, appraisal, tenure, grant proposals, fellowships, and output peer review. Their lives and work are constantly under scrutiny, creating competitive and high-stress environments.

    But there is also a logic (Campbell’s Law) that tells us that if we assess research culture it can lead to greater investment into improving it. And it is this logic that the UK Joint HE funding bodies have drawn on in their drive to increase the weighting given to the assessment of People, Culture & Environment in REF 2029. This makes perfect sense: given the evidence that positive and healthy research cultures are a thriving element of Research Excellence, it would be remiss of any Research Excellence Framework not to attempt to assess, and therefore incentivise them.

    The challenge we have comes back to my first two points. Even assessing the right things, but in the wrong way, can be counterproductive, as may increasing the volume of assessment. Given research culture is such a multi-faceted concept, the worry is that the assessment job will become so huge that it quickly becomes burdensome, thus having a negative impact on those research cultures we want to improve.

    It ain’t what you do, it’s the way that you do it

    Just as research culture is not so much about the research that you do but the way that you do it, so research culture assessment should concern itself not so much with the outcomes of that assessment but with the way the assessment takes place.

    This is really important to get right.

    I’ve argued before that research culture is a hygiene factor. Most dimensions of culture relate to standards that it’s critically important we all get right: enabling open research, dealing with misconduct, building community, supporting collaboration, and giving researchers the time to actually do research. These aren’t things for which we should offer gold stars but basic thresholds we all should meet. And to my mind they should be assessed as such.

    Indeed this is exactly how the REF assessed open research in 2021 (and will do so again in 2029). They set an expectation that 95 per cent of qualifying outputs should be open access, and if you failed to hit the threshold, excess closed outputs were simply unclassified. End of. There were no GPAs for open access.

    In the tender for the PCE indicator project, the nature of research culture as a hygiene factor was recognised by proposing “barrier to entry” measures. The expectation seemed to be that for some research culture elements institutions would be expected to meet a certain threshold, and if they failed they would be ineligible to even submit to REF.

    Better use of codes of practice

    This proposal did not make it into the current PCE assessment pilot. However, the REF already has a “barrier to entry” mechanism, of course, which is the completion of an acceptable REF Code of Practice (CoP).

    An institution’s REF CoP is about how they propose to deliver their REF, not how they deliver their research (although there are obvious crossovers). And REF have distinguished between the two in their latest CoP Policy module governing the writing of these codes.

    But given that REF Codes of Practice are now supposed to be ongoing, living documents, I don’t see why they shouldn’t take the form of more research-focussed (rather than REF-focussed) codes. It certainly wouldn’t harm research culture if all research performing organisations had a thorough research code of practice (most do of course) and one that covers a uniform range of topics that we all agree are critical to good research culture. This could be a step beyond the current Terms & Conditions associated with QR funding in England. And it would be a means of incentivising positive research cultures without ‘grading’ them. With your REF CoP, it’s pass or fail. And if you don’t pass first time, you get another attempt.

    Enhanced use of culture and environment data

    The other way of assessing culture to incentivise behaviours without it leading to any particular rating or ranking is to simply start collecting & surfacing data on things we care about. For example, the requirement to share gender pay gap data and to report misconduct cases, has focussed institutional minds on those things without there being any associated assessment mechanism. If you check out the Higher Education Statistics Agency (HESA) data on proportion of male:female professors, in most UK institutions you can see the ratio heading in the right direction year on year. This is the power of sharing data, even when there’s no gold or glory on offer for doing so.

    And of course, the REF already has a mechanism to share data to inform, but not directly make an assessment, in the form of ’Environment Data’. In REF 2021, Section 4 of an institution’s submission was essentially completed for them by the REF team by extracting from the HESA data, the number of doctoral degrees awarded (4a) and the volume of research income (4b); and from the Research Councils, the volume of research income in kind (4c).

    This data was provided to add context to environment assessments, but not to replace them. And it would seem entirely sensible to me that we identify a range of additional data – such as the gender & ethnicity of research-performing staff groups at various grades – to better contextualise the assessment of PCE, and to get matters other than the volume of research funding up the agendas of senior university committees.

    Context-sensitive research culture assessment

    That is not to say that Codes of Practice and data sharing should be the only means of incentivising research culture of course. Culture was a significant element of REF Environment statements in 2021, and we shouldn’t row back on it now. Indeed, given that healthy research cultures are an integral part of research excellence, it would be remiss not to allocate some credit to those who do this well.

    Of course there are significant challenges to making such assessments robust and fair in the current climate. The first of these is the complex nature of research culture – and the fact that no framework is going to cover every aspect that might matter to individual institutions. Placing boundaries around what counts as research culture could mean institutions cease working on agendas that are important to them, because they ostensibly don’t matter to REF.

    The second challenge is the severe and uncertain financial constraints currently faced by the majority of UK HEIs. Making the case for a happy and collaborative workforce when half are facing redundancy is a tough ask. A related issue here is the hugely varying levels of research (culture) capital across the sector as I’ve argued before. Those in receipt of a £1 million ‘Enhancing Research Culture’ fund from Research England, are likely to make a much better showing than those doing research culture on a shoe-string.

    The third is that we are already half-way through this assessment period and we’re only expected to get the final guidance in 2026 – two years prior to submission. And given the financial challenges outlined above, this is going to make this new element of our submission especially difficult. It was partly for this reason that some early work to consider the assessment of research culture was clear that this should celebrate the ‘journey travelled’, rather than a ‘destination achieved’.

    For this reason, to my mind, the only thing we can reasonably expect all HEIs to do right now with regards to research culture is to:

    • Identify the strengths and challenges inherent within your existing research culture;
    • Develop a strategy and action plan(s) by which to celebrate those strengths and address those challenges;
    • Agree a set of measures by which to monitor your progress against your research culture ambitions. These could be inspired by some of the suggestions resulting from the Vitae & Technopolis PCE workshops & Pilot exercise;
    • Describe your progress against those ambitions and measures. This could be demonstrated both qualitatively and quantitatively, through data and narratives.

    Once again, there is an existing REF assessment mechanism open to us here, and that is the use of the case study. We assess research impact by effectively asking HEIs to tell us their best stories – I don’t see why we shouldn’t make the same ask of PCE, at least for this REF.

    Stepping stone REF

    The UK joint funding bodies have made a bold and sector-leading move to focus research performing organisations’ attention on the people and cultures that make for world-leading research endeavours through the mechanism of assessment. Given the challenges we face as a society, ensuring we attract, train, and retain high quality research talent is critical to our success. However, the assessment of research culture has the power both to make things better or worse: to incentivise positive research cultures or to increase burdensome and competitive cultures that don’t tackle all the issues that really matter to institutions.

    To my mind, given the broad range of topics that are being worked on by institutions in the name of improving research culture, and where we are in the REF cycle, and the financial constraints facing the sector, we might benefit from a shift in the mechanisms proposed to assess research culture in 2029 and to see this as a stepping stone REF.

    Making better use of existing mechanisms such as a Codes of Practice and Environment and Culture data would assess the “hygiene factor” elements of culture without unhelpfully associating any star ratings to them. Ratings should be better applied to the efforts taken by institutions to understand, plan, monitor, and demonstrate progress against their own, mission-driven research culture ambitions. This is where the real work is and where real differentiations between institutions can be made, when contextually assessed. Then, in 2036, when we can hope that the sector will be in a financially more stable place, and with ten years of research culture improvement time behind us, we can assess institutions against their own ambitions, as to whether they are starting to move the dial on this important work.

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