Tag: missions

  • How does UK research support Government’s five missions, and should universities align with them?

    How does UK research support Government’s five missions, and should universities align with them?

    Earlier this year, HEPI, with support from global information analytics company Elsevier, hosted a roundtable dinner on how UK research and innovation should support the government’s five missions.

    This blog considers some of the themes that emerged from that discussion.

    The Labour government has made clear that five missions drive its decisions on policy. These are: kickstarting economic growth, an NHS fit for the future, safer streets, breaking down barriers to opportunity and making Britain a clean energy superpower. In October 2024, it announced a £25 million R&D Missions Programme to address specific challenges involved in meeting these missions and to help turn scientific advances into real-world benefits.

    How well do the UK’s research strengths already map to the missions, and how much capacity exists to do more? For global information analytics company Elsevier, this was worth interrogating. It set to work, drawing on its Scopus database of research publications and the Overton index of policy documents, clustering papers into topics and using artificial intelligence and large language models to link them to the missions.

    This allowed it to track what share of UK research carried out between 2019 and 2023 relates to the missions the government has identified and how this compares to other policy areas, including how it has varied over time. Elsevier has also been able to make comparisons with the research strengths of other countries in these areas. The process involved developing a methodology that matched huge datasets to the narrative national goals set out in Labour’s manifesto.

    The role of R&D in supporting government priorities was the subject of a roundtable dinner, informed by this analysis, hosted by HEPI in February and attended by policymakers and senior leaders from across the higher education sector. The discussion was held under the Chatham House rule, by which speakers express views on the understanding that they will be unattributed.

    Useful information

    Sarah Main, vice-president, academic and government relations at Elsevier, told participants that the aim of the analysis was to be useful, for the research community and policymakers, in making the case for continued investment in R&D in the lead up to a tight spending review.

    The work shows that a significant share of the UK’s published research relates to government priorities: for example, 11% relates to growth and around 35% to its aims around health. By making comparisons with research outputs in other countries, it also identifies possible future partnerships and collaborations.

    But she pointed out that research output is only one way in which research and innovation supports the government’s missions; people, skills and infrastructure also play a part. Further work, she said, could help identify the key people, institutions and areas in which the UK has relevant strengths, as well as suggest emerging questions and themes.

    Many of those attending the roundtable felt that it was useful to see how far universities are producing research that supports government priorities and to be able to demonstrate this to policymakers – and the Treasury. They particularly welcomed the chance to identify where relevant research was taking place internationally.

    It was suggested that the tool would be useful in maintaining a dialogue between research and government priorities, identifying quickly the kind of work taking place and who was doing it and helping to build communities around research areas.

    Potential problems

    But there were reservations about aligning research too closely with specific policy areas. The fear was that what could be lost in the process was curiosity-driven work, which was a feature of the UK system and which could lead to valuable nuggets of knowledge that could go on to solve world problems. Another concern was that innovation strengths did not always translate into strengths around delivery.

    Some questioned how much could be achieved without investment in supporting a healthy research environment for the long term. The recent decision to cut overseas aid in favour of increasing the defence budget was an example of how quickly government policies could change.

    Research priorities could change too. One participant in the roundtable said it would be important not to ignore findings from further back in the past or for policymakers to forget the broader research agenda in favour of the latest exciting paper.

    ‘I look at the missions and I think the reason these are possible is because of R&D that was being done 25 years ago,’ said one delegate, who was worried that concentrating on where the government is looking now could be at the expense of developing capability in the missions of future generations and working out what these would be – learning to live with robots perhaps or addressing chronic loneliness. 

    Focusing exclusively on missions also ignores how ready the research community is for a shock like Covid or another existential challenge. And what about some of the nuances of where the UK’s research strengths are located, such as working with other disciplines, and how research feeds into growth in more general ways than through specific papers? Relevant skills training and universities’ educational role are also important.

    Talking politics

    Then, how much weight should be given to a government’s stated priorities? If last July’s election had elected a party with the mission to make Britain great again, would the research community want to find out how far the work it was doing supported it?

    Also, how far are the government’s missions likely to persist, with Donald Trump and Vladimir Putin doing everything they can to undermine them, as one delegate argued? Far more likely to determine whether the government gets re-elected will be progress on growth and healthcare, which have been consistent public concerns for decades. Even if, as Elsevier has found, 35% of research in the UK relates to health, ministers may respond by asking why, in that case, people are no healthier.

    Some felt that universities needed to be more political and to understand better the channels by which research becomes policy and how to negotiate them. This could involve researchers considering the attitudes of the public as well as those of politicians.

    The government may also need to give universities a clearer idea of what good looks like when it comes to universities, such as whether the amount of research related to healthcare that Elsevier has identified is good enough, where the government wants universities to be focusing and what resources will be available to them. 

    But spending too much time dabbling in politics could be dangerous. Instead, suggested one participant, universities should be engaging “at scale” with all sectors and everyone involved in the political process, giving advice to whoever needs it.

    The public purse

    Universities should also avoid dwelling on their own self-interest. One delegate noted that finding out how far they contribute to the government’s missions would be of little use if the sector collapses. But another suggested that focusing too closely on missions could encourage universities merely to highlight relevant work they are already doing and then make another request for money.

    It is certainly the case that there will be plenty of other calls on the public purse over the next few months and years. In this context, it could be useful for the sector to stress the shorter-term wins relevant to the missions that management science or operational research can offer, as well as long-term gains such as new drugs. One delegate suggested that it would be useful to have clearer identification of where research has directly led to spin-out companies and economic growth.

    The roundtable concluded that universities are clearly relevant to addressing the government’s missions, that they are already influencing policy and that the methodology under discussion could help inform strategy. But it recognised that outcomes – such as reduced crime and an efficient NHS – are what matter most to the public and these therefore should be the priority.

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  • A higher education institution’s relationship with technology crosses all its missions

    A higher education institution’s relationship with technology crosses all its missions

    Universities have a critical role to play at the intersection of academic thought, organisational practice, and social benefits of technology.

    It’s easy when thinking about universities’ digital strategies to see that as a technical question of organisational capability and solutions rather than one part of the wider public role universities have in leading thinking and shaping practice for the benefit of society.

    But for universities the relationship with technology is multifaceted: some parts of the institution are engaged in driving forward technological developments; others may be critically assessing how those developments reshape the human experience and throw up ethical challenges that must be addressed; while others may be seeking to deploy technologies in the service of improving teaching and research. The question, then, for universities, must be how to bring these relationships together in a critical but productive way.

    Thinking into practice

    The University of Edinburgh hosts one of the country’s foremost informatics and computer science departments, one of the largest centres of AI research in Europe. Edinburgh’s computing infrastructure has lately hit headlines when the Westminster government decided to cancel planned investment in a new supercomputing facility at the university, only to announce new plans for supercomputing investment in last week’s AI opportunities action plan, location as yet undetermined.

    But while the university’s technological research prowess is evident, there’s also a strong academic tradition of critical thought around technology – such as in the work of philosopher Shannon Vallor, director of the Centre for Technomoral Futures at the Edinburgh Futures Institute and author of The AI Mirror. In the HE-specific research field, Janja Komljenovic has explored the phenomenon of the “datafication” of higher education, raising questions of a mismatch and incoherence between how data is valued and used in different parts of an institution.

    When I speak to Edinburgh’s principal Peter Mathieson ahead of his keynote at the upcoming Kortext Live leaders event in Edinburgh on 4 February he’s reflecting on a key challenge: how to continue a legacy of thought leadership on digital technology and data science into the future, especially when the pace of technological change is so rapid?

    “It’s imperative for universities to be places that shape the debate, but also that study the advantages and disadvantages of different technologies and how they are adopted. We need to help the public make the best use of technology,” says Peter.

    There’s work going on to mobilise knowledge across disciplines, for example, data scientists interrogating Scotland’s unique identifier data to gain insights on public health – which was particularly important during Covid. The university is a lead partner in the delivery of the Edinburgh and south east Scotland city region deal, a key strand of which is focused on data-driven innovation. “The city region deal builds on our heritage of excellence in AI and computer science and brings that to addressing the exam question of how to create growth in our region, attract inward investment, and create jobs,” explains Peter.

    Peter is also of the opinion that more could be done to bring university expertise to bear across the education system. Currently the university is working with a secondary school to develop a data science programme that will see secondary pupils graduate with a data science qualification. Another initiative sees primary school classrooms equipped with sensors that detect earth movements in different parts of the world – Peter recounts having been proudly shown a squiggle on a piece of paper by two primary school pupils, which turned out to denote an earthquake in Tonga.

    “Data education in schools is a really important function for universities,” he says.”It’s not a recruiting exercise – I see it as a way of the region and community benefiting from having a research intensive university in their midst.”

    Connecting the bits

    The elephant in the room is, of course, the link between academic knowledge and organisational practice, and where and how those come together in a university as large and decentralised as Edinburgh.

    “There is a distinction between the academic mission and the day to day nuts and bolts,” Peter admits. “There is some irony that we are one of finest computer science institutions but we had trouble installing our new finance system. But the capability we have in a place like this should allow us to feel positive about the opportunities to do interesting things with technology.”

    Peter points to the university-wide enablement of Internet of Things which allows the university to monitor building usage, and which helps to identify where buildings may be under-utilised. As principal Peter also brought together estates and digital infrastructure business planning so that the physical and digital estate can be developed in tandem and with reference to each other rather than remaining in silos.

    “Being able to make decisions based on data is very empowering,” he says. “But it’s important that we think very carefully about what data is anonymised and reassure people we are not trying to operate a surveillance system.” Peter is also interested in how AI could help to streamline large administrative tasks, and the experimental deployment of generative AI across university activity. The university has developed its own AI innovation platform, ELM, the Edinburgh (access to) Language Models, which is free to use for all staff and students, and which gives the user access to large language models including the latest version of Chat-GPT but, importantly, without sharing user data with OpenAI.

    At the leadership level, Peter has endeavoured to put professional service leaders on the same footing as academic leaders rather than, as he says, “defining professional services by what they are not, ie non-academic.” It’s one example of the ways that roles and structures in universities are evolving, not necessarily as a direct response to technological change, but with technology being one of the aspects of social change that create a need inside universities for the ability to look at challenges from a range of professional perspectives.

    It’s rarely as straightforward as “automation leading to staffing reductions” though Peter is alive to the perceived risks and their implications. “People worry about automation leading to loss of jobs, but I think jobs will evolve in universities as they will elsewhere in society,” he says. “Much of the value of the university experience is defined by the human interactions that take place, especially in an international university, and we can’t replace physical presence on campus. I’m optimistic that humans can get more good than harm out of AI – we just need to be mindful that we will need to adapt more quickly to this innovation than to earlier technological advances like the printing press, or the Internet.”

    This article is published in association with Kortext. Peter Mathieson will be giving a keynote address at the upcoming Kortext LIVE leaders’ event in Edinburgh on 4 February – join us there or at the the London or Manchester events on 29 January and 6 February to find out more about Wonkhe and Kortext’s work on leading digital capability for learning, teaching and student success, and be part of the conversation.

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