Prêt-à-non-portability? Implications and possible responses to the phasing out of publication portability

“How much as been decided about the REF? About this much. And how much of the REF period is there to go? Well, again…

Last week Recently, I attended an Open Forum Events one day conference with the slightly confusing title ‘Research Impact: Strengthening the Excellence Framework‘ and gave a short presentation with the same title as this blog post. It was a very interesting event with some great speakers (and me), and I was lucky enough to meet up with quite a few people I only previously ‘knew’ through Twitter. I’d absolutely endorse Sarah Hayes‘ blogpost for Research Whisperer about the benefits of social media for networking for introverts.

Oh, and if you’re an academic looking for something approaching a straightforward explanation about the REF, can I recommend Charlotte Mathieson‘s excellent blog post. For those of you after in-depth half-baked REF policy stuff, read on…

I was really pleased with how the talk went – it’s one thing writing up summaries and knee-jerk analyses for a mixed audience of semi-engaged academics and research development professionals, but it’s quite another giving a REF-related talk to a room full of REF experts. It was based in part on a previous post I’ve written on portability but my views (and what we know about the REF) has moved on since then, so I thought I’d have a go at summarising the key points.

I started by briefly outlining the problem and the proposed interim arrangements before looking at the key principles that needed to form part of any settled solution on portability for the REF after next.

Why non-portability? What’s the problem?

I addressed most of this in my previous post, but I think the key problem is that it turns what ought to be something like a football league season into an Olympic event. With a league system, the winner is whoever earns the most points over a long, drawn out season. Three points is three points, whatever stage of the season it comes in. With Olympic events, it’s all about peaking at the right time during the cycle – and in some events within the right ten seconds of that cycle. Both are valid as sporting competition formats, but for me, Clive the REF should be more like a league season than to see who can peak best on census day. And that’s what the previous REF rules encourages – fractional short term appointments around the census date; bulking out the submission then letting people go afterwards; rent-seeking behaviour from some academics holding their institution to ransom; poaching and instability, transfer window effects on mobility; and panic buying.

If the point of the REF is to reward sustained excellence over the previous REF cycle with funding to institutions to support research over the next REF cycle, surely it’s a “league season” model we should be looking at, not an Olympic model. The problem with portability is that it’s all about who each unit of assessment has under contract and able to return at the time, even if that’s not a fair reflection of their average over the REF cycle. So if a world class researcher moves six months before the REF census date, her new institution would get REF credit for all of her work over the last REF cycle, and the one which actually paid her salary would get nothing in REF terms. Strictly speaking, this isn’t a problem of publication portability, it’s a problem of publication non-retention. Of which more later.

I summarised what’s being proposed as regards portability as a transition measure in my ‘Initial Reactions‘ post, but briefly by far most likely outcome for this REF is one that retains full portability and full retention. In other words, when someone moves institution, she takes her publications with her and leaves them behind. I’m going to follow Phil Ward of Fundermentals and call these Schrodinger’s Publications, but as HEFCE point out, plenty of publications were returned multiple times by multiple institutions in the last REF, as each co-author could return it for her institution. It would be interesting to see what proportion of publications were returned multiple times, and what the record is for the number of times that a single publication has been submitted.

Researcher Mobility is a Good Thing

Marie Curie and Mr Spock have more in common than radiation-related deaths – they’re both examples of success through researcher mobility. And researcher mobility is important – it spreads ideas and methods, allows critical masses of expertise to be formed. And researchers are human too, and are likely to need to relocate for personal reasons, are entitled to seek better paid work and better conditions, and might – like any other employee – just benefit from a change of scene.

For all these reasons, future portability rules need to treat mobility as positive, and as a human right. We need to minimise ‘transfer window’ effects that force movement into specific stages of the REF cycle – although it’s worth noting that plenty of other professions have transfer windows – teachers, junior doctors (I think), footballers, and probably others too.

And for this reason, and for reasons of fairness, publications from staff who have departed need to be assessed in exactly the same way as publications from staff who are still employed by the returning UoA. Certainly no UoA should be marked down or regarded as living on past glories for returning as much of the work of former colleagues as they see fit.

Render unto Caesar

Institutions are entitled to a fair return on investment in terms of research, though as I mentioned earlier, it’s not portability that’s the problem here so much as non-retention. As Fantasy REF Manager I’m not that bothered by someone else submitting some of my departed star player’s work written on my £££, but I’m very much bothered if I can’t get any credit for it. Universities are given funding on the basis of their research performance as evaluated through the previous REF cycle to support their ongoing endeavors in the next one. This is a really strong argument for publication retention, and it seems to me to be the same argument that underpins impact being retained by the institution.

However, there is a problem which I didn’t properly appreciate in my previous writings on this. It’s the investment/divestment asymmetry issue, as absolutely no-one except me is calling it. It’s an issue not for the likely interim solution, but for the kind of full non-portability system we might have for the REF after next.

In my previous post I imagined a Fantasy REF Manager operating largely a one-in, one-out policy – thus I didn’t need new appointee’s publications because I got to keep their predecessors. And provided that staff mobility was largely one-in, one-out, that’s fine. But it’s less straightforward if it’s not. At the moment the University of Nottingham is looking to invest in a lot of new posts around specific areas (“beacons”) of research strength – really inspiring projects, such as the new Rights Lab which aims to help end modern slavery. And I’m sure plenty of other institutions have similar plans to create or expand areas of critical mass.

Imagine a scenario where I as Fantasy REF Manager decide to sack a load of people  immediately prior to the REF census date. Under the proposed rules I get to return all of their publications and I can have all of the income associated for the duration of the next REF cycle – perhaps seven years funding. On the other hand, if I choose to invest in extra posts that don’t merely replace departed staff, it could be a very long time before I see any return, via REF funding at least. It’s not just that I can’t return their publications that appeared before I recruited them, it’s that the consequences of not being able to return a full REF cycle’s worth of publications will have funding implications for the whole of the next REF cycle. The no-REF-disincentive-to-divest and long-lead-time-for-REF-reward-for-investment looks lopsided and problematic.

I’m a smart Fantasy REF Manager, it means I’ll save up my redundancy axe wielding (at worst) or recruitment freeze (at best) for the end of the REF cycle, and I’ll be looking to invest only right at the beginning of the REF cycle. I’ve no idea what the net effect of all this will be repeated across the sector, but it looks to me as if non-portability just creates new transfer windows and feast and famine around recruitment. And I’d be very worried if universities end up delaying or cancelling or scaling back major strategic research investments because of a lack of REF recognition in terms of new funding.

Looking forward: A settled portability policy

A few years back, HEFCE issued some guidance about Open Access and its place in the coming REF. They did this more or less ‘without prejudice’ to any other aspect of the REF – essentially, whatever the rest of the REF looks like, these will be the open access rules. And once we’ve settled the portability rules for this time (almost certainly using the Schrodinger’s publications model), I’d like to see them issue some similar ‘without prejudice’ guidelines for the following REF.

I think it’s generally agreed that the more complicated but more accurate model that would allow limited portability and full retention can’t be implemented at such short notice. But perhaps something similar could work with adequate notice and warning for institutions to get the right systems in place, which was essentially the point of the OA announcement.

I don’t think a full non-portability full-retention system as currently envisaged could work without some finessing, and every bid of finessing for fairness comes at the cost of complication.  As well as the investment-divestment asymmetry problem outlined above, there are other issues too.

The academic ‘precariat’ – those on fixed term/teaching only/fractional/sessional contracts need special rules. An institution employing someone to teach one module with no research allocation surely shouldn’t be allowed to return that person’s publications. One option would be to say something like ‘teaching only’ = full portability, no retention; and ‘fixed term with research allocation’ = the Schrodinger system of publications being retained and being portable. Granted this opens the door to other games to be played (perhaps turning down a permanent contract to retain portability?) but I don’t think these are as serious as current games, and I’m sure could be finessed.

While I argued previously that career young researchers had more to gain than to lose from a system whereby appointments are made more on potential rather than track record, the fact that so many are as concerned as they are means that there needs to be some sort of reassurance or allowance for those not in permanent roles.

Disorder at the border. What happens about publications written on Old Institution’s Time, but eventually published under New Institution’s affiliation? We can also easily imagine publication filibustering whereby researchers delay publication to maximise their position in the job market. Not only are delays in publication bad for science, but there’s also the potential for inappropriate pressure to be applied by institutions to hold something back/rush something out. It could easily put researchers in an impossible position, and has the potential to poison relationships with previous employers and with new ones. Add in the possible effects of multiple job moves on multi-author publications and this gets messy very quickly.

One possible response to this would be to allow a portability/retention window that goes two ways – so my previous institution could still return my work published (or accepted) up to (say) a year after my official leave date. Of course, this creates a lot of admin, but it’s entirely up to my former institution whether it thinks that it’s worth tracking my publications once I’ve gone.

What about retired staff? As far as I can see there’s nothing in any documents about the status of the publications of retired staff either in this REF or in any future plans. The logic should be that they’re returnable in the same way as those of any other researcher who has left during the REF period. Otherwise we’ll end up with pressure to say on and perhaps other kinds of odd incentives not to appoint people who retire before the end of a REF cycle.

One final suggestion…

One further half-serious suggestion… if we really object to game playing, perhaps the only fair to properly reward excellent research and impact and to minimise game playing is to keep the exact rules of REF a secret for as long as possible in each cycle. Forcing institutions just to focus on “doing good stuff” and worrying less about gaming the REF.

  • If you’re really interested, you can download a copy of my presentation … but if you weren’t there, you’ll just have to wonder about the blank page…

Initial Reactions to HEFCE’s ‘Initial decisions on REF 2021’

This lunchtime HEFCE have announced some more “Initial Decisions” on REF 2021, which I’ve summarised below.

Slightly frustratingly, the details are scattered across a few documents, and it’s easy to miss some of them. There’s an exec summary,  a circular letter (which is more of a rectangle, really), the main text of the report that can be downloaded from the bottom of the exec summary page (along with an annex listing UoAs and further particulars for panel chair roles)… and annex A on a further consultation staff return and output portability, downloadable from the bottom of the circular letter page.

I’ve had a go at a quick summary, by bullet point theme rather than in the order they appear, or in a grand narrative sweep. This is one of my knee-jerk pieces, and I’ve added a few thoughts of my own. But it’s early days, and possibly I’ve missed something or misunderstood, so please let me know.

Outputs

  • Reserve output allowed where publication may not appear in time
  • Worth only 60% of total mark this time (see scoring system)

I think the reduction in the contribution of outputs to the overall mark (at the expense of impact) is probably what surprised me most, and I suspect this will be controversial. I think the original plan was for environment to be downgraded to make way, but there’s a lot more demanded from the environment statement this time (see below) so it’s been protected. Great to have the option of submitting an insurance publication in case one of the in-press ones doesn’t appear by close of play.

Panels/Units of Assessment

  • Each sub-panel to have at least one appointed member for interdisciplinary research “with a specific role to ensure its equitable assessment”. New identifier/flag for interdisciplinary outputs to capture
  • Single UoA for engineering, multiple submissions allowed
  • Archaeology split from Geography and Environmental studies – now separate
  • Film and Screen Studies to be explicitly included in UoA 33 with Dance, Drama, Performing Arts
  • Decisions on forensic science and criminology (concerns about visibility) due in Autumn
  • Mapping staff to UoAs will be done by institutions, not HESA cost centres, but may ask for more info in the event of any “major variances” from HESA data.

What do people think about a single UoA for engineering? That’s not an area I support much. Is this just tidying up, or does this has greater implications? Is it ironic that forensic science and criminology have been left a cop show cliff-hanger ending?

Environment

  • Expansion of Unit of Assessment environment section to include sections on:
    • Structures to support interdisciplinary research
    • Supporting collaboration with “organisations beyond higher education”
    • Impact template will now be in the environment element
    • Approach to open research/open access
    • Supporting equality and diversity
  • More quant data in UoA environment template (we don’t know what yet)
  • Standard Institution level information
  • Non-assessed invite only pilot for institution level environment statement
  • Expansion of environment section is given as a justification for maintaining it at 15% of score rather than reducing as expected.

The inclusion of a statement about support for interdisciplinary work is interesting, as this moves beyond merely addressing justifiable criticism about the fate of interdisciplinary research (see the welcome addition to each UoA of an appointed ‘Member for Interdisciplinarity’ above). This makes it compulsory, and an end in itself. This will go down better in some UoAs than others.

Impact

  • Institutional level impact case studies will be piloted, but not assessed
  • Moves towards unifying definitions of “impact” and “academic impact” between REF and Research Councils – both part of dual funding system for research
  • Impact on teaching/curriculum will count as impact – more guidance to be published
  • Underpinning work “at least equivalent to 2*” and published between 1st Jan 2000 and 31st Dec 2020. Impact must take place between 1st Aug 2013 and 31st July 2020
  • New impact case study template, more questions asked, more directed, more standardised, more “prefatory” material to make assessment easier.
  • Require “routine provision of audit evidence” for case study templates, but not given to panel
  • Uncertain yet on formula for calculating number of case study requirements, but overall “should not significantly exceed… 2014”. Will be done on some measure of “volume of activity”, possibly outputs
  • Continuation of case studies from 2014 is allowed, but must meet date rules for both impact and publication, need to declare it is a continuation.
  • Increased to 25% of total score

And like a modern day impact superhero, he comes Mark Reed aka Fast Track Impact with a blog post of his own on the impact implications of the latest announcement. I have to say that I’m pleased that we’re only having a pilot for institutional case studies, because I’m not sure that’s a go-er.

Assessment and Scoring system

  • Sub-panels may decide to use metrics/citation data, but will set out criteria statements stating whether/how they’ll use it. HEFCE will provide the citation data
  • As 2014, overall excellence profile, 3 sub-profiles (outputs, impact, environment)
  • Five point scale from unclassified to 4*
  • Outputs 60, Impact 25, Environment 15. Increase of impact to 25, but as extra environment info sought, has come at the expense of outputs.

There was some talk of a possible necessity for a 5* category to be able to differentiate at the very top. but I don’t think this gained much traction.

But on the really big questions… further consultation (deadline 29th Sept):

There’s been some kicking into the short grass, but things are looking a bit clearer…

(1) Staff submission:

All staff “with a significant responsibility to undertake research” will be submitted, but “no single indicator identifies those within the scope of the exercise”.  Institutions have the option of submitting 100% of staff who meet the core eligibility requirement OR come up with a code of practice that they’ll use to decide who is eligible. Audit-able evidence will be required and Institutions can choose different options for different UoAs.

Proposed core eligibility requirements – staff must meet all of the following:

  • “have an academic employment function of ‘research only’ or ‘teaching and research’
  • are independent researchers [i.e. not research assistants unless ‘demonstrably’ independent]
  • hold minimum employment of 0.2 full time equivalent
  • have a substantive connection to the submitting institution.”

I like this as an approach – it throws the question back to universities, and leaves it up to them whether they think it’s worth the time and trouble running an exercise in one or more UoAs. And I think the proposed core requirements look sensible, and faithful to the core aim which is to maximise the number of researchers returned and prevent the hyper selectivity game being played.

(2) Transition arrangements for non-portability of publications.

HEFCE are consulting on either:

(a) “The simplified model, whereby outputs would be eligible for return by the originating institution (i.e. the institution where the research output was demonstrably generated and at which the member of staff was employed) as well as by the newly employing institution”.
or
(b) “The hybrid approach, with a deadline (to be determined), after which a limited number of outputs would transfer with staff, with eligibility otherwise linked to the originating institution. (This would mean operating two rules for portability in this exercise: the outputs of staff employed before the specified date falling under the 2014 rules of full portability; outputs from staff employed after this date would fall under the new rules.)”

I wrote a previous post on portability and non-portability when the Stern Review was first published, which I still think is broadly correct.

I wonder how simple the simplified model will be… if we end having to return n=2 publications, and choosing those publications from a list of everything published by everyone while they worked here. But it’s probably less work than having a cut off date.

More to follow….

‘Unimaginative’ research funding models and picking winners

XKCD 1827 – Survivorship Bias  (used under Creative Commons Attribution-NonCommercial 2.5 License)

Times Higher Education recently published an interesting article by Donald Braben and endorsed by 36 eminent scholars including a number of nobel laureates. They criticise “today’s academic research management” and claim that as an unforeseen consequence, “exciting, imaginative, unpredictable research without thought of practical ends is stymied”. The article fires off somewhat scattergun criticism of the usual betes noire – the inherent conservatism of peer review; the impact agenda, and lack of funding for blue skies research; and grant application success rates.

I don’t deny that there’s a lot of truth in their criticisms… I think in terms of research policy and deciding how best to use limited resources… it’s all a bit more complicated than that.

Picking Winners and Funding Outsiders

Look, I love an underdog story as much as the next person. There’s an inherent appeal in the tale of the renegade scholar, the outsider, the researcher who rejects the smug, cosy consensus (held mainly by old white guys) and whose heterodox ideas – considered heretical nonsense by the establishment – are  ultimately triumphantly vindicated. Who wouldn’t want to fund someone like that? Who wouldn’t want research funding to support the most radical, most heterodox, most risky, most amazing-if-true research? I think I previously characterised such researchers as a combination of Albert Einstein and Jimmy McNulty from ‘The Wire’, and it’s a really seductive picture. Perhaps this is part of the reason for the MMR fiasco.

The problem is that the most radical outsiders are functionally indistinguishable from cranks and charlatans. Are there many researchers with a more radical vision that the homeopathist, whose beliefs imply not only that much of modern medicine is misguided, but that so is our fundamental understanding of the physical laws of the universe? Or the anti-vaxxers? Or the holocaust deniers?

Of course, no-one is suggesting that these groups be funded, and, yes I’ll admit it’s a bit of a cheap shot aimed at a straw target. But even if we can reliably eliminate the cranks and the charlatans, we’ll still be left with a lot of fringe science. An accompanying THE article quotes Dudley Herschbach, joint winner of the 1986 Nobel Prize for Chemistry, as saying that his research was described as being at the “lunatic fringe” of chemistry. How can research funders tell the difference between lunatic ideas with promise (both interesting-if-true and interesting-even-if-not-true) and lunatic ideas that are just… lunatic. If it’s possible to pick winners, then great. But if not, it sounds a lot like buying lottery tickets and crossing your fingers. And once we’re into the business of having a greater deal of scrutiny in picking winners, we’re back into having peer review again.

One of the things that struck me about much of the history of science is that there are many stories of people who believe they are right – in spite of the scientific consensus and in spite of the state of the evidence available at the time – but who proceed anyway, heroically ignoring objections and evidence, until ultimately vindicated. We remember these people because they were ultimately proved right, or rather, their theories were ultimately proved to have more predictive power than those they replaced.

But I’ve often wondered about such people. They turned out to be right, but were they right because of some particular insight, or were they right because they were lucky in that their particular prejudice happened to line up with the actuality? Was it just that the stopped clock is right twice per day? Might their pig-headedness equally well have carried them along another (wrong) path entirely, leaving them to be forgotten as just another crank? And just because someone is right once, is there any particular reason to think that they’ll be right again? (Insert obligatory reference to Newton’s dabblings with alchemy here). Are there good reasons for thinking that the people who predicted the last economic crisis will also predict the next one?

A clear way in which luck – interestingly rebadged as ‘serendipity’ – is involved is through accidental discoveries. Researchers are looking at X when… oh look at Y, I wonder if Z… and before you know it, you have a great discovery which isn’t what you were after at all. Free packets of post-it notes all round. Or when ‘blue skies’ research which had no obvious practical application at the time becomes a key enabling technology or insight later on.

The problem is that all these stories of serendipity and of surprise impact and of radical outsider researchers are all examples of lotteries in which history only remembers the winning tickets. Through an act of serendipity, the XKCD published a cartoon illustrating this point nicely (see above) just as I was thinking about these issues.

But what history doesn’t tell us is how many lottery tickets research funding agencies have to buy in order to have those spectacular successes. And just as importantly, whether or not a ‘lottery ticket’ approach to research funding will ultimately yield a greater return on investment than a more ‘unimaginative’ approach to funding using the tired old processes of peer review undertaken by experts in the relevant field followed by prioritisation decisions taken by a panel of eminent scientists drawn from across the funder’s remit. And of course, great successes achieved through this method of having a great idea, having the greatness of the idea acknowledged by experts, and then carrying out the research is a much less compelling narrative or origin story, probably to the point of invisibility.

A mixed ecosystem of conventional and high risk-high reward funding streams

I think there would be broad agreement that the research funding landscape needs a mixture of funding methods and approaches. I don’t take Braben and his co-signatories to be calling for wholesale abandonment of peer review, of themed calls around particular issues, or even of the impact agenda. And while I’d defend all those things, I similarly recognise merit in high risk-high reward research funding, and in attempts by major funders to try to address the problem of peer review conservatism. But how do we achieve the right balance?

Braben acknowledges that “some agencies have created schemes to search for potentially seminal ideas that might break away from a rigorously imposed predictability” and we might include the European Research Council and the UK Economic and Social Research Council as examples of funders who’ve tried to do this, at least in some of their schemes. The ESRC in particular on one scheme abandoned traditional peer review for a Dragon’s Den style pitch-to-peers format, and the EPSRC is making increasing use of sandpits.

It’s interesting that Braben mentions British Petroleum’s Venture Research Initiative as a model for a UCL pilot aimed at supporting transformative discoveries. I’ll return to that pilot later, but he also mentions that the one project that scheme funded was later funded by an unnamed “international benefactor”, which I take to be a charity or private foundation or other philanthropic endeavor rather than a publically-funded research council or comparable organisation. I don’t think this is accidental – private companies have much more freedom to create blue skies research and innovation funding as long as the rest of the operation generates enough funding to pay the bills and enough of their lottery tickets end up winning to keep management happy. Similarly with private foundations with near total freedom to operate apart perhaps from charity rules.

But I would imagine that it’s much harder for publically-funded research councils to take these kinds of risks, especially during austerity.  (“Sorry Minister, none of our numbers came up this year, but I’m sure we’ll do better next time.”) In a UK context, the Leverhulme Trust – a happy historical accident funded largely through dividend payments from its bequeathed shareholding in Unilever – seeks to differentiate itself from the research councils by styling itself as more open to risky and/or interdisciplinary research, and could perhaps develop further in this direction.

The scheme that Braben outlines is genuinely interesting. Internal only within UCL, very light touch application process mainly involving interviews/discussion, decisions taken by “one or two senior scientists appointed by the university” – not subject experts, I infer, as they’re the same people for each application. Over 50 applications since 2008 have so far led to one success. There’s no obligation to make an award to anyone, and they can fund more than one. It’s not entirely clear from this article where the applicant was – as Braben proposes for the kinds of schemes he calls for – “exempt from normal review procedures for at least 10 years. They should not be set targets either, and should be free to tackle any problem for as long as it takes”.

From the article I would infer that his project received external funding after 3 years, but I don’t want to pick holes in a scheme which is only partially outlined and which I don’t know any more about, so instead I’ll talk about Braben’s more general proposal, not the UCL scheme in particular.

It’s a lot of power in a very few hands to give out these awards, and represents a very large and very blank cheque. While the use of interviews and discussion cuts down on grant writing time, my worry is that a small panel and interview based decision making may open the door to unconscious bias, and greater successes for more accomplished social operators. Anyone who’s been on many interview panels will probably have experienced fellow panel members making heroic leaps of inference about candidates based on some deep intuition, and in the tendency of some people to want to appoint the more confident and self-assured interviewee ahead of a visibly more nervous but far better qualified and more experienced rival. I have similar worries about “sand pits” as a way of distributing research funding – do better social operators win out?

The proposal is for no normal review procedures, and for ten years in which to work, possibly longer. At Nottingham – as I’m sure at many other places – our nearest equivalent scheme is something like a strategic investment fund which can cover research as well as teaching and other innovations. (Here we stray into things I’m probably not supposed to talk about, so I’ll stop). But these are major investments, and there’s surely got to be some kind of accountability during decision-making processes and some sort of stop-go criteria or review mechanism during the project’s life cycle. I’d say that courage to start up some high risk, high reward research project has to be accompanied by the courage to shut it down too. And that’s hard, especially if livelihoods and professional reputations depend upon it – it’s a tough decision for those leading the work and for the funder too. But being open to the possibility of shutting down work implies a review process of some kind.

To be clear, I’m not saying let’s not have more high-risk high-reward curiosity driven research. By all means let’s consider alternative approaches to peer review and to decision making and to project reporting. But I think high risk/high reward schemes raise a lot of difficult questions, not least what the balance should be between lottery ticket projects and ‘building society savings account’ projects. We need to be aware of the ‘survivor bias’ illustrated by the XKCD cartoon above and be aware that serendipity and vindicated radical researchers are both lotteries in which we only see the winning tickets. We also need to think very carefully about fair selection and decision making processes, and the danger of too much power and too little accountability in too few hands.

It’s all about the money, money, money…

But ultimately the problem is that there are a lot more researchers and academics than there used to be, and their numbers – in many disciplines – is determined not by the amount of research funding available nor the size of the research challenges, but by the demand for their discipline from taught-course students. And as higher education has expanded hugely since the days in which most of Braben’s “500 major discoveries” there are just far more academics and researchers than there is funding to go around. And that’s especially true given recent “flat cash” settlements. I also suspect that the costs of research are now much higher than they used to be, given both the technology available and the technology required to push further at the boundaries of human understanding.

I think what’s probably needed is a mixed ecology of research funders and schemes. Probably publically funded research bodies are not best placed to fund risky research because of accountability issues, and perhaps this is a space in which private foundations, research funding charities, and universities themselves are better able to operate.

The rise of the machines – automation and the future of research development

"I've seen research ideas you people wouldn't believe. Impact plans on fire off the shoulder of Orion. I watched JeS-beams glitter in the dark near the Tannhäuser ResearchGate. All those proposals will be lost in time, like tears...in...rain. Time to revise and resubmit."
“I’ve seen first drafts you people wouldn’t believe. Impact plans on fire off the shoulder of Orion. I watched JeS beams glitter in the dark near the Tannhäuser ResearchGate. All those research proposals will be lost in time, like tears…in…rain. Time to resubmit.”

In the wake of this week’s Association of Research Managers and Administrator‘s conference in Birmingham, Research Professional has published an interesting article by Richard Bond, head of research administration at the University of the West of England. The article – From ARMA to avatars: expansion today, automation tomorrow? – speculates about the future of the research management/development profession given the likely advances of automation and artificial intelligence. Each successive ARMA conference is hailed as the largest ever, and ARMA’s membership has grown rapidly over recent years, probably reflecting increasing numbers of research support roles, increased professionalism, an increased awareness of ARMA and the attractiveness of what it offers in terms of professional development. But might better, smarter computer systems reduce, and perhaps even eliminate the need for some research development roles?

In many ways, the future is already here. In my darker moments I’ve wondered whether some colleagues might be replicants or cylons. But many universities already have (or are in the progress of getting) some form of cradle-to-grave research management information system which has the potential to automate many research support tasks, both pre and post award. Although I wasn’t in the session where the future of JeS, the online submission grant system used by RCUK UKRI, tweets from the session indicate that JeS 2.0 is being seen as a “grant getting service” and a platform to do more than just process applications, which could well include distribution of funding opportunities. Who knows what else it might be able to do? Presumably it can link much better to costing tools and systems, allowing direct transfer of costing and other informations to and from university systems.

A really good costing tool might be able to do a lot of things automatically. Staff costs are already relatively straightforward to calculate with the right tools  – the complication largely comes from whether funders expect figures to include inflation and cost of living/salary increment pay rises to be included or not. But greater uniformity across funders could help, and setting up templates for individual funders could be done, and in many places is already done. Non-pay costs are harder, but one could imagine a system that linked to travel and bookings websites and calculated the average cost of travel from A to B. Standard costs could be available for computers and for consumables, again, linking to suppliers’ catalogues. This could in principle allow the applicant (rather than a research administrator) to do the budget for the grant application, but I wonder if there’s much appetite for doing that from applicants who don’t do this. I also think there’s a role for the research costing administrator in terms of helping applicants flush out all of the likely costs – not all of which will occur to the PI – as well as dealing with the exceptions that the system doesn’t cover. But even if specialist human involvement is still required, giving people better tools to work smarter and more efficiently – especially if the system is able to populate the costings section application form directly without duplication – would reduce the amount of humans required.

While I don’t think we’re there yet, it’s not hard to imagine systems which could put the right funding opportunities in front of the right academics at the right time and in the right format. Research Professional has offered a customisable research funding alerts service for many years now, and there’s potential for research management systems to integrate this data, combine it with what’s known about individual researchers and research team’s interests, and put that information in front of them automatically.

I say we’re not there yet, because I don’t think the information is arriving in the right format – in a quick and simple summary that allows researchers to make very quick decisions about whether to read on, or move on to the next of the twelvety-hundred-and-six unread emails. I also wonder whether the means of targeting the right academics are sufficiently nuanced. A ‘keywords’ approach might help if we could combine research interest keyword sets used by funders, research intelligence systems, and academics. But we’d need a really sophisticated set of keywords, coving not just discipline and sub-discipline, but career stage, countries of interest, interdisciplinary grand challenges and problems etc. Another problem is that I don’t think call summaries are – in general – particularly well-written (though they are getting better) by funders, though we could perhaps imagine them being tailored for use in these kinds of systems in the future. A really good research intelligence system could also draw in data about previous bids to the scheme from the institution, data about success rates for previous calls, access to previously successful applications (though their use is not without its drawbacks).

But even with all this in place, I still think there’s a role for human research development staff in getting opportunities out there. If all we’re doing is forwarding Research Professional emails, then we could and should be replaced. But if we’re adding value through our own analysis of the opportunity, and customising the email for the intended audience, we might be allowed to live. A research intelligence system inevitably just churns out emails that might be well targeted or poorly targeted. A human with detailed knowledge of the research interests, plans, and ambitions of individual researchers or groups can not only target much better, but can make a much more detailed, personalised, and context sensitive analysis of the advantages and disadvantages of a possible application. I can get excited about a call and tell someone it’s ideal for them, and because of my existing relationship with them, that’ll carry weight … a computer can tell them that it’s got a 94.8% match.

It’s rather harder to see automation replacing training researchers in grant writing skills or undertaking lay review of draft grant applications, not least because often the trick with lay review is spotting what’s not there rather than what is. But I’d be intrigued to learn what linguistic analysis tools might be able to do in terms of assessing the required reading level, perhaps making stylistic observations or recommendations, and perhaps flagging up things like the regularity with which certain terms appear in the application relative to the call etc. All this would need interpreting, of course, and even then may not be any use. But it would be interesting to see how things develop.

Impact is perhaps another area where it’s hard to see humans being replaced. Probably sophisticated models of impact development could and should be turned in tools to help academics identify the key stakeholders, come up with appropriate strategies, and identify potential intermediaries with their own institution. But I think human insight and creativity could still add substantial value here.

Post-award isn’t really my area these days, but I’d imagine that project setup could become much easier and involve fewer pieces of paper and documents flying around. Even better and more intuitive financial tools would help PIs manage their project, but there are still accounting rules and procedures to be interpreted, and again, I think many PIs would prefer someone else to deal with the details.

Overall it’s hard to disagree with Bond’s view that a reduction in overall headcount across research administration and management (along with many other areas of work) is likely, and it’s not hard to imagine that some less research intensive institutions might be happy that the service that automated systems could deliver is good enough for them. At more research intensive institutions, better tools and systems will increase efficiency and will enable human staff to work more effectively. I’d imagine that some of this extra capacity will be filled by people doing more, and some of it may lead to a reduction in headcount.

But overall, I’d say – and you can remind me of this when I’m out of a job and emailing you all begging for scraps of consultancy work, or mindlessly entering call details into a database – that I’m probably excited by the possibilities of automation and better and more powerful tools than I am worried about being replaced by them.

I for one welcome our new research development AI overlords.

Getting research funding: the significance of significance

"So tell me, Highlander, what is peer review?"
“I’m Professor Connor Macleod of the Clan Macleod, and this is my research proposal!”

In a excellent recent blog post, Lachlan Smith wrote about the “who cares?” question that potential grant applicants ought to consider, and that research development staff ought to pose to applicants on a regular basis.

Why is this research important, and why should it be funded? And crucially, why should we fund this, rather than that? In a comment on a previous post on this blog Jo VanEvery quoted some wise words from a Canadian research funding panel member: “it’s not a test, it’s a contest”. In other words, research funding is not an unlimited good like a driving test or a PhD viva where there’s no limit to how many people can (in principle) succeed. Rather, it’s more like a job interview, qualification for the Olympic Games, or the film Highlander – not everyone can succeed. And sometimes, there can be only one.

I’ve recently been fortunate enough to serve on a funding panel myself, as a patient/public involvement representative for a health services research scheme. Assessing significance in the form of potential benefit for patients and carers is a vitally important part of the scheme, and while I’m limited in what I’m allowed to say about my experience, I don’t think I’m speaking out of turn when I say that significance – and demonstrating that significance – is key.

I think there’s a real danger when writing – and indeed supporting the writing – of research grant applications that the focus gets very narrow, and the process becomes almost inward looking. It becomes about improving it internally, writing deeply for subject experts, rather than writing broadly for a panel of people with a range of expertise and experiences. It almost goes without saying that the proposed project must convince the kinds of subject expert who will typically be asked to review a project, but even then there’s no guarantee that reviewers will know as much as the applicant. In fact, it would be odd indeed if there were to be an application where the reviewers and panel members knew more about the topic than the applicant. I’d probably go as far as to say that if you think the referees and the reviewers know more than you, you probably shouldn’t be applying – though I’m open to persuasion about some early career schemes and some very specific calls on very narrow topics.

So I think it’s important to write broadly, to give background and context, to seek to convince others of the importance and significance of the research question. To educate and inform and persuade – almost like a briefing. I’m always badgering colleagues for what I call “killer stats” – how big is the problem, how many people does it affect, by how much is it getting worse, how much is it costing the economy, how much is it costing individuals, what difference might a solution to this problem make? If there’s a gap in the literature or in human knowledge, make a case for the importance or potential importance in filling that gap.

For blue skies research it’s obviously harder, but even here there is scope for discussing the potential academic significance of the possible findings – academic impact – and what new avenues of research may be opened out, or closed off by a decisive negative finding which would allow effort to be refocused elsewhere. If all research is standing on the shoulders of giants, what could be seen by future researchers standing on the shoulders of your research?

It’s hugely frustrating for reviewers when applicants don’t do this – when they don’t give decision makers the background and information they need to be able to draw informed conclusions about the proposed project. Maybe a motivated reviewer with a lighter workload and a role in introducing your proposal may have time to do her own research, but you shouldn’t expect this, and she shouldn’t have to. That’s your job.

It’s worth noting, by the way, that the existence of a gap in the literature is not itself an argument for it being filled, or at least not through large amounts of scarce research funding. There must be a near infinite number of gaps, such as the one that used to exist about the effect of peanut butter on the rotation of the earth – but we need more than the bare fact of the existence of a gap – or the fact that other researchers can be quoted as saying there’s a gap – to persuade.

Oh, and if you do want to claim there’s a gap, please check google scholar or similar first – reviewers, panel members (especially introducers) may very well do that. And from my limited experience of sitting on a funding panel, there’s nothing like one introducer or panel member reeling of a list of studies on a topic where there’s supposedly a gap (and which aren’t referenced in the proposal) to finish off the chance of an application. I’ve not seen enthusiasm or support for a project sucked out of the room so completely and so quickly by any other means.

And sometimes, if there aren’t killer stats or facts and figures, or if a case for significance can’t be made, it may be best to either move on to another idea, or a different and cheaper way of addressing the challenge. While it may be a good research idea, a key question before deciding to apply is whether or not the application is competitive for significance given the likely competition, the scale of the award, the ambition sought by the funder, and the number of successful projects to be awarded. Given the limits to research funding available, and their increasing concentration into larger grants, there really isn’t much funding for dull-but-worthy work which taken together leads to the aggregation of marginal gains to the sum of human knowledge.I think this is a real problem for research, but we are where we are.

Significance may well be the final decider in research funding schemes that are open to a range of research questions. There are many hurdles which must be cleared before this final decider, and while they’re not insignificant, they mainly come down to technical competence and feasibility. Is the methodology not only appropriate, but clearly explained and robustly justified? Does the team have the right mix of expertise? Is the project timescale and deliverables realistic? Are the research questions clearly outlined and consistent throughout? All of these things – and more – are important, but what they do is get you safely though into the final reckoning for funding.

Once all of the flawed or technically unfeasible or muddled or unpersuasive or unclear or non-novel proposals have been knocked out, perhaps at earlier stages, perhaps at the final funding panel stage, what’s left is a battle of significance. To stand the best chance of success, your application needs to convince and even inspire non-expert reviewers to support your project ahead of the competition.

But while this may be the last question, or the final decider between quality projects, it’s one that I’d argue potential grant applicants should consider first of all.

The significance of significance is that if you can’t persuasively demonstrate the significance of your proposed project, your grant application may turn out to be a significant waste of your time.