Research Costs | Cash for Questions: Research funding, policy and development

HEFCE publishes ‘Consultation on the second Research Excellence Framework (REF 2021)’

In my previous post I wrote about the Stern Review, and in particular the portability issue – whereby publications remained with the institution where they were written, rather than moving institutions with the researcher – which seemed by some distance the most vexatious and controversial issue, at least judging by my Twitter feed.

Since then there has been a further announcement about a forthcoming consultation exercise which would seek to look at the detail of the implementation of the Stern Review, giving a pretty clear signal that the overall principles and rationale had been accepted, and that Lord Stern’s comments that his recommendations were meant to be taken as a whole and were not amenable to cherry picking, had been heard and taken to heart.

Today – only ten days or so behind schedule – the consultation has been launched. It invites “responses from higher education institutions and other groups and organisations with an interest in the conduct, quality, funding or use of research”. In paragraph 15, this invitation is opened out to include “individuals”. So as well as contributing to your university response, you’ve also got the opportunity to respond personally. Rather than just complain about it on Twitter.

Responses are only accepted via an online form, although the questions on that online form are available for download in a word document. There are 44 questions for which responses are invited, and although these are free text fields, the format of the consultation is to solicit responses to very specific questions, as perhaps would be expected given that the consultation is about detail and implementation. Paragraph 10 states that

“we have taken the [research excellence] framework as implemented in 2014 as our starting position for this consultation, with proposals made only in those areas where our evidence suggests a need or desire for change, or where Lord Stern’s Independent Review recommends change. In developing our proposals, we have been mindful of the level of burden indicated, and have identified where certain options may offer a more deregulated approach than in the previous framework. We do not intend to introduce new aspects to the assessment framework that will increase burden.”

In other words, I think we can assume that 2014 plus Stern = the default and starting position, and I would be surprised if any radical departures from this resulted from the consultation. Anyone wanting to propose something radically different is wasting their time, even if the first question invites “comments on the proposal to maintain an overall continuity of approach with REF 2014.”

So what can we learn from the questions? I think the first thing that strikes me it’s that it’s a very detailed and very long list of questions on a lot of issues, some of which aren’t particularly contentious. But it’s indicative of an admirable thoroughness and rigour. The second this is that they’re all about implementation. The third is that reduction of burden on institutions is a key criterion, which has to be welcome.

Units of Assessment

It looks as if there’s a strong preference to keep UoAs pretty much as they are, though the consultation flags up inconsistencies of approach from institutions around the choice of which of the four Engineering Panels to submit to. Interestingly, one of the issues is comparability of outcome (i.e. league tables) which isn’t technically supposed to be something that the REF is concerned with – others draw up league tables using their own methodologies, there’s no ‘official’ table.

It also flags up concerns expressed by the panel about Geography and Archaeology, and worries about forensic science, criminology and film and media studies, I think around subject visibility under current structures. But while some tweaks may be allowed, there will be no change to the current structure of Main Panel/Sub Panel, so no sub-sub-panels, though one of the consultation possibilities is is about sub-panels setting different sub-profiles for different areas that they cover.

Returning all research active staff

This section takes as a starting point that all research active staff will be returned, and seeks views on how to mitigate game-playing and unintended consequences. The consultation makes a technical suggestion around using HESA cost centres to link research active staff to units of assessment, rather than leaving institutions to the flexibility to decide to – to choose a completely hypothetical example drawn in no way from experience with a previous employer – to submit Economists and Educationalists into a beefed up Business and Management UoA. This would reduce that element of game playing, but would also negatively effect those whose research identity doesn’t match their teaching/School/Department identity – say – bioethicists based in medical or veterinary schools, and those involved in area studies and another discipline (business, history, law) who legitimately straddle more than one school. A ‘get returned where you sit’ approach might penalise them and might affect an institution’s ability to tell the strongest possible story about each UoA.

As you’d expect, there’s also an awareness of very real worries about this requirement to return all research active staff leading to the contractual status of some staff being changed to teaching-only. Just as last time some UoAs played the ‘GPA game’ and submitted only their best and brightest, this time they might continue that strategy by formally taking many people out of ‘research’ entirely. They’d like respondents to say how this might be prevented, and make the point that HESA data could be used to track such wholesale changes, but presumably there would need to be consequences in some form, or at least a disincentive for doing so. But any such move would intrude onto institutional autonomy, which would be difficult. I suppose the REF could backdate the audit point for this REF, but it wouldn’t prevent such sweeping changes for next time. Another alternative would be to use the Environment section of the REF to penalise those with a research culture based around a small proportion of staff.

Personally, I’m just unclear how much of a problem this will be. Will there be institutions/UoAs where this happens and where whole swathes of active researchers producing respectable research (say, 2-3 star) are moved to teaching contracts? Or is the effect likely to be smaller, with perhaps smaller groups of individuals who aren’t research active or who perhaps haven’t been producing being moved to teaching and admin only? And again, I don’t want to presume that will always be a negative move for everyone, especially now we have the TEF on the horizon and we are now holding teaching in appropriate esteem. But it’s hard to avoid the conclusion that things might end up looking a bit bleak for people who are meant to be research active, want to continue to be research active, but who are deemed by bosses not to be producing.

Decoupling staff from outputs

In the past, researchers were returned with four publications minus any reductions for personal circumstances. Stern proposed that the number of publications to be returned should be double the number of research active staff, with each person being about to return between 0 and 6 publications. A key advantage of this is that it will dispense with the need to consider personal circumstances and reductions in the number of publications – straightforward in cases of early career researchers and maternity leaves, but less so for researchers needing to make the case on the basis of health problems or other potentially traumatic life events. Less admin, less intrusion, less distress.

One worry expressed in the document is about whether this will allow panel members to differentiate between very high quality submissions with only double the number of publications to be returned. But they argue that sampling would be required if a greater multiple were to be returned.

There’s also concern that allowing a maximum of six publications could allow a small number of superstars to dominate a submission, and a suggestion is that the minimum number moves from 0 to 1, so at least one publication from every member of research active staff is returned. Now this really would cause a rush to move those perceived – rightly or wrongly – as weak links off research contracts! I’m reminded of my MPhil work on John Rawls here, and his work on the difference principle, under which nearly just society seeks to maximise the minimum position in terms of material wealth – to have the richest poorest possible. Would this lead to a renewed focus on support for career young researchers, for those struggling for whatever reason, to attempt to increase the quality of the weakest paper in the submission and have the highest rated lowest rated paper possible?

Or is there any point in doing any of that, when income is only associated with 3 (just) and 4? Do we know how the quality of the ‘tail’ will feed into research income, or into league tables if it’s prestige that counts? I’ll need to think a bit more about this one. My instinct is that I like this idea, but I worry about unintended consequences (“Quick, Professor Fourstar, go and write something – anything – with Dr Career Young!”).

Portability

On portability – whether a researcher’s publications move with them (as previously) or stay with the institution where they were produced (like impact) – the consultation first notes possible issues about what it doesn’t call a “transfer window” round about the REF census date. If you’re going to recruit someone new, the best time to get them is either at the start of a REF cycle or during the meaningless end-of-season games towards the end of the previous one. That way, you get them and their outputs for the whole season. True enough – but hard to see that this is worse than the current situation where someone can be poached in the 89th minute and bring all their outputs with them.

The consultation’s second concern is verification. If someone moves institution, how do we know which institution can claim what? As we found with open access, the point of acceptance isn’t always straightforward to determine, and that’s before we get into forms of output other than journal articles. I suppose my first thought is that point-of-submission might be the right point, as institutional affiliation would have to be provided, but then that’s self declared information.

The consultation document recognises the concern expressed about the disadvantage that portability may have for certain groups – early career researchers and (a group I hadn’t considered) people moving into/out of industry. Two interesting options are proposed – firstly, that publications are portable for anyone on a fixed term contract (though this may inadvertently include some Emeritus Profs) or for anyone who wasn’t returned to REF 2014.

One other non-Stern alternative is proposed – that proportionate publication sharing between old and new employer take place for researchers who move close to the end date. But this seems messy, especially as different institutions may want to claim different papers. For example if Dr Nomad wrote a great publication with co-authors from Old and from New, neither would want it as much as a great publication that she wrote by herself or with co-authors from abroad. This is because both Old and New could still return that publication without Dr Nomad because they had co-authors who could claim that publication, and publications can only be returned once per UoA, but perhaps multiple times by different UoAs.

Overall though – that probable non-starter aside – I’d say portability is happening, and it’s just a case of how to protect career young researchers. And either non-return last time, or fixed term contract = portability seem like good ideas to me.

Interestingly, there’s also a question about whether impact should become portable. It would seem a bit odd to me of impact and publications were to swap over in terms of portability rules, so I don’t see impact becoming portable.

Impact

I’m not going to say too much about impact here and now- this post is already too long, and I suspect someone else will say it better.

Miscellaneous

Other than that…. should ORCID be mandatory? Should Category C (staff not employed by the university, but who research in the UOA) be removed as an eligible category? Should there be a minimum fraction of FTE to be returnable (to prevent overseas superstars being returnable on slivers of contracts)? What exactly is a research assistant anyway? Should a reserve publication be allowed when publication of a returned article is expected horrifyingly close to the census date? Should quant data be used to support assessment in disciplines where it’s deemed appropriate? Why do birds suddenly appear, every time you are near, and what metrics should be used for measuring such birds?

There’s a lot more to say about this, and I’ll be following discussions and debates on twitter with interest. If time allows I’ll return to this post or write some more, less knee-jerky comments over the next days and weeks.

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.

ESRC success rates 2014/2015 – a quick and dirty commentary

The ESRC has issued its annual report and accounts for the financial year 2014/15, and they don’t make good reading. As predicted by Brian Lingley and Phil Ward back in January on the basis of the figures from the July open call, the success rate is well down – to 13% – from the 25% I commented on last year , 27% on 2012-13 and 14% of 2011-2012.

Believe it or not there is a staw-grasping positive way of looking at these figures… of which more later.

This research professional article has a nice overview which I can’t add much to, so read it first. Three caveats about these figures, though…

They’re for the standard open call research grant scheme, not for all calls/schemes
They relate to the financial year, not the academic year
It’s very difficult to compare year-on-year due to changes to the scheme rules, including minimum and maximum thresholds which have changed substantially.

In previous years I’ve focused on how different academic disciplines have got on, but there’s probably very little to add. You can read them for yourself (p. 38), but the report only bothers to calculate success rates for the disciplines with the highest numbers of applications – presumably beyond that there’s little statistical significance. I could be claiming that it’s been a bumper year for Education research, which for years bumped along at the bottom of the league table with Business and Management Studies in terms of success rates, but which this year received 3 awards from 22 applications, tracking the average success rate. Political Science and Socio-Legal Studies did well, as they always tend to do. But it’s generalising from small numbers.

As last year, there is also a table of success rates by institution. In an earlier section on demand management, the report states that the ESRC “are discussing ways of enhancing performance with those HEIs where application volume is high and quality is relatively weak”. But as with last year, it’s hard to see from the raw success rate figures which these institutions might be – though of course detailed institutional profiles showing the final scores for applications might tell a very different story. Last year I picked out Leeds (10/0), Edinburgh (8/1), and Southampton (14/2) as doing poorly, and Kings College (7/3), King Leicester III (9/4), Oxford (14/6) as doing well – though again, one more or less success changes the picture.

This year, Leeds (8/1) and Edinburgh (6/1) have stats that look much better. Southampton doesn’t look to have improved (12/0) at all, and is one of the worst performers. Of those who did well last year, none did so well this year – Kings were down to 11/1, Leicester 2/0, and Oxford 11/2. Along with Southampton, this year’s poor performers were Durham (10/0), UCL (15/1) and Sheffield (11/0) – though all three had respectable enough scores last time. This year’s standouts were Cambridge at 10/4. Perhaps someone with more time than me can combine success rates from the last two years, and I’m sure someone at the ESRC already has….

So… on the basis of success rates alone, probably only Southampton jumps out as doing consistently poorly. But again, much depends on the quality profile of the applications being submitted – it’s entirely possible that they were very unlucky, and that small numbers mask much more slapdash grant submission behaviour from other institutions. And of course, these figures only relate to the lead institution as far as I know.

It’s worth noting that demand management has worked… after a fashion.

We remain committed to managing application volume, with
the aim of focusing sector-wide efforts on the submission
of a fewer number of higher quality proposals with a
genuine chance of funding. General progress is positive.
Application volume is down by 48 per cent on pre-demand
management levels – close to our target of 50 per cent.
Quality is improving with the proportion of applications now
in the ‘fundable range’ up by 13 per cent on pre-demand
management levels, to 42 per cent. (p. 21).

I remember the target of reducing the numbers of applications received by 50% as being regarded as very ambitious at the time, and even if some of it was achieved by changing scheme rules to increase the minimum value of a grant application and banning resubmissions, it’s still some achievement. Back in October 2011 I argued that the ESRC had started to talk optimistically about meeting that target after researcher sanctions (in some form) had started to look inevitable. And in November 2012 things looked nicely on track.

But reducing brute numbers of applications is all very well. But if only 42% of applications are within the “fundable range”, then that’s a problem because it means that a lot of applications being submitted still aren’t good enough.This is where there’s cause for optimism – if less than half of the applications are fundable, your own chances should be more than double the average success rate – assuming that your application is of “fundable” quality. So there’s your good news. Problem is, no-one applies who doesn’t think their application is fundable.

Internal peer review/demand management processes are often framed in terms of improving the quality of what gets submitted, but perhaps not enough of a filtering process. So we refine and we polish and we make 101 incremental improvements… but ultimately you can’t polish a sow’s ear. Or something.

Proper internal filtering is really, really hard to do – sometimes it’s just easier to let stuff from people who won’t be told through and see if what happens is exactly what you think will happen, which it always is. There’s also a fine line (though one I think that can be held and defended) between preventing perceived uncompetitive applications from doing so and impinging on academic freedom. I don’t think telling someone they can’t submit a crap application is infringing their academic freedom, but any such decisions need to be taken with a great deal of care. There’s always the possibility of suspicion of ulterior motives – be it personal, be it subject or methods-based prejudice, or senior people just overstepping the mark and inappropriately imposing their convictions (ideological, methodological etc) on others. Like the external examiner who insists on “more of me” on the reading list….

The elephant in the room, of course, is the flat cash settlement and the fact that that’s now really biting, and that there’s nowhere near enough funding to go around for all of the quality social science research that’s badly needed. But we can’t do much about that – and we can do something about the quality of the applications we’re submitting and allowing to be submitted.

I wrote something for research professional a few years back on how not to do demand management/filtering processes, and I think it still stands up reasonably well and is even quite funny in places (though I say so myself). So I’m going to link to it, as I seem to be linking to a disproportionate amount of my back catalogue in this post.

A combination of a new minimum of £350k for the ESRC standard research grants scheme and the latest drop in success rates makes me think it’s worth writing a companion piece to this blog post about potential ESRC applicants need to consider before applying, and what I think is expected of a “fundable” application.

Hopefully something for the autumn…. a few other things to write about first.

ESRC – sweeping changes to the standard grants scheme

The ESRC have just announced a huge change to their standard grants scheme, and I think it’s fair to say that it’s going to prove somewhat controversial.

At the moment, it’s possible to apply to the ESRC Standard Grant Scheme at any time for grants of between £200k and £2million. From the end of June this year, the minimum threshold will raise from £200k to £350k, and the maximum threshold will drop from £2m to £1m.

Probably those numbers don’t mean very much to you if you’re not familiar with research grant costing, but as a rough rule of thumb, a full time researcher for a year (including employment costs and overheads) comes to somewhere around £70k-80k. So a rough rule of thumb I used to use was that if your project needed two years of researcher time, it was big enough. So… for £350k you’d probably need three researcher years, a decent amount of PI and Co-I time, and a fair chunk of non-pay costs. That’s a big project. I don’t have my filed in front of me as I’m writing this, so maybe I’ll add a better illustration later on.

This isn’t the first time the lower limit has been raised. Up until February 2011, there used to be a “Small Grants Scheme” for projects up to £200k before that was shut, with £200k becoming the new minimum. The argument at the time was that larger grants delivered more, and had fewer overheads in terms of the costs of reviewing, processing and administering. And although the idea was that they’d help early career researchers, the figures didn’t really show that.

The reasons given for this change are a little ~~disingenuous~~ puzzling. Firstly, this:

The changes are a response to the pattern of demand that is being placed on the standard grants scheme by the social science community. The average value of a standard grant application has steadily increased and is now close to £500,000, so we have adjusted the centre of gravity of the scheme to reflect applicant behaviour.

Now that’s an interesting tidbit of information – I wouldn’t have guessed that the “average value” would be that high, but you don’t have to be an expert in statistics (and believe me, in spite of giving 110% in maths class at school I’m not one) to wonder what “average” means, and further, why it even matters. This might be an attempt at justification, but I don’t see why this provides a rationale for change.

Then we have this….

The changes are also a response to feedback from our Grant Assessment Panels who have found it increasingly difficult to assess and compare the value of applications ranging from £200,000 to £2 million, where there is variable level of detail on project design, costs and deliverables. This issue has become more acute as the number of grant applications over £1 million has steadily increased over the last two years. Narrowing the funding range of the scheme will help to maintain the robustness of the assessment process, ensuring all applications get a fair hearing.

I have every sympathy for the Grant Assessment Panel members here – how do you choose between funding one £2m project and funding 10 x £200k projects, or any combination you can think of? It’s not so much comparing apples to oranges as comparing grapes to water melons. And they’re right to point out the “variable” level of detail provided – but that’s only because their own rules give a maximum of 6 A4 page for the Case for Support for projects under £1m and 12 for those over. If you think that sounds superficially reasonable, then notice that it’s potentially double the space to argue for ten times the money. I’ve supported applications of £1m+ and 12 sides of A4 is nowhere near enough, compared to the relative luxury of 6 sides for £200k. This is a problem.

In my view it makes sense to “introduce an annual open competition for grants between £1 million and £2.5 million”, which is what the ESRC propose to do. So I think there’s a good argument for lowering the upper threshold from £2m to £1m and setting it up as a separate competition. I know the ESRC want to reduce the number of calls/schemes, but this makes sense. As things stand I’ve regularly steered people away from the Centres/Large Grants competition towards Standard Grants instead, where I think success rates will be higher and they’ll get a fairer hearing. So I’d be all in favour of having some kind of single Centres/Large/Huge/Grants of Unusual Size competition.

But nothing here seems to me to be an argument for raising the lower limit.

But finally, I think we come to what I suspect is the real reason, and judging by Twitter comments so far, I’m not alone in thinking this.

We anticipate that these changes will reduce the volume of applications we receive through the Standard Grants scheme. That will increase overall success rates for those who do apply as well as reducing the peer review requirements we need to place on the social science community.

There’s a real problem with ESRC success rates, which dropped to 10% in the July open call, with over half the “excellent” proposals unfunded. This is down from around 25% success rates, much improved in the last few years. I don’t know whether this is a blip – perhaps a few very expensive projects were funded and a lot of cheaper ones missed out – but it’s not good news. So it’s hard not to see this change as driven entirely by a desire to get success rates up, and perhaps an indication that this wasn’t a blip.

In a recent interview with Adam Smith of Research Professional, Chief Exec Jane Eliot recently appeared to rule out the option of individual sanctions which had been threatened if institutional restraint failed to bring down the number of poor quality applications and it appears that the problem is not so much poor quality applications as lots of high quality applications, not enough money, plummeting success rates, and something needing to be done.

All this raises some difficult questions.

Where are social science researchers now supposed to go for funding for projects whose “natural size” is between £10k (British Academy Small Grants) and £350k, the proposed new minimum threshold? There’s only really the Leverhulme Trust, whose schemes will suit some project types and but not others, and they’re not exclusively a social science funder.
Where will the next generation of PIs to be entrusted with £350k of taxpayer’s money have an opportunity to cut their teeth, both in terms of proving themselves academically and managerially?
What about career young researchers? At least here we can expect a further announcement – there has been talk of merging the ‘future leaders scheme’ into Standard Grants, so perhaps there will be a lower minimum for them. But we’ll see.
Given that the minimum threshold has been almost doubled, what consultation has been carried out? I’m just a humble Business School Research Manager (I mean I’m humble, my Business School is outstanding, obviously) so perhaps it’s not surprising that this the first I’ve heard. But was there any meaningful consultation over this? Is there any evidence underpinning claims for the efficiency of fewer, longer and larger grants?
How do institutions respond? I guess one way will be to work harder to create bigger gestalt projects with multiple themes and streams and work packages. But surely expectations of grant getting for promotion and other purposes need to be dialled right back, if they haven’t been already. Do we encourage or resist a rush to get applications in before the change, at a time when success rates will inevitably be dire?

Of course, the underlying problem is that there’s not enough money in the ESRC’s budget to support excellent social science after years and years of “flat cash” settlements. And it’s hard to see what can be done about that in the current political climate.

ESRC success rates 2013/2014

The ESRC Annual Report for 2013-14 has been out for quite a while now, and a quick summary and analysis from me is long overdue.

Although I was tempted to skip straight through all of the good news stories about ESRC successes and investments and dive straight in looking for success rates, I’m glad I took the time to at least skim read some of the earlier stuff. When you’re involved in the minutiae of supporting research, it’s sometimes easy to miss the big picture of all the great stuff that’s being produced by social science researchers and supported by the ESRC. Chapeau, everyone.

In terms of interesting policy stuff, it’s great to read that the “Urgency Grants” mechanism for rapid responses to “rare or unforeseen events” which I’ve blogged about before is being used, and has funded work “on the Philippines typhoon, UK floods, and the Syrian crisis”. While I’ve not been involved in supporting an Urgency Grant application, it’s great to know that the mechanism is there, that it works, and that at least some projects have been funded.

The “demand management” agenda

This is what the report has to say on “demand management” – the concerted effort to reduce the number of applications submitted, so as to increase the success rates and (more importantly) reduce the wasted effort of writing and reviewing applications with little realistic chance of success.

Progress remains positive with an overall reduction in application numbers of 41 per cent, close to our target of 50 per cent. Success rates have also increased to 31 per cent, comparable with our RCUK partners. The overall quality of applications is up, whilst peer review requirements are down.

There are, however, signs that this positive momentum may

be under threat as in certain schemes application volume is

beginning to rise once again. For example, in the Research

Grants scheme the proposal count has recently exceeded

pre-demand management levels. It is critical that all HEIs

continue to build upon early successes, maintaining the

downward pressure on the submission of applications across

all schemes.

It was always likely that “demand management” might be the victim of its own success – as success rates creep up again, getting a grant appears more likely and so researchers and research managers encourage and submit more applications. Other factors might also be involved – the stage of the REF cycle, for example. Or perhaps now talk of researcher or institutional sanctions has faded away, there’s less incentive for restraint.

Another possibility is that some universities haven’t yet got the message or don’t think it applies to them. It’s also not hard to imagine that the kinds of internal review mechanisms that some of us have had for years and that we’re all now supposed to have are focusing on improving the quality of applications, rather than filtering out uncompetitive ideas. But is anyone disgracing themselves?

Looking down the list of successes by institution (p. 41) it’s hard to pick out any obvious bad behaviour. Most of those who’ve submitted more than 10 applications have an above-average success rate. You’d only really pick out Leeds (10 applications, none funded), Edinburgh (8/1) and Southampton (14/2), and a clutch of institutions on 5/0, (including top-funded Essex, surprisingly) but in all those cases one or two more successes would change the picture. Similarly for the top performers – Kings College (7/3), King Leicester III (9/4), Oxford (14/6) – hard to make much of a case for the excellence or inadequacy of internal peer review systems from these figures alone. What might be more interesting is a list of applications by institution which failed to reach the required minimum standard, but that’s not been made public to the best of my knowledge. And of course, all these figures only refer to the response mode Standard Grant applications in the financial year (not academic year) 2013-14.

Concentration of Funding

Another interesting stat (well, true for some values of “interesting”) concerns the level of concentration of funding. The report records the expenditure levels for the top eleven (why 11, no idea…) institutions by research expenditure and by training expenditure. Interesting question for you… what percentage of the total expenditure do the top 11 institutions get? I could tell you, but if I tell you without making you guess first, it’ll just confirm what you already think about concentration of funding. So I’m only going to tell you that (unsurprisingly) training expenditure is more concentrated than research funding. The figures you can look up for yourself. Go on, have a guess, go and check (p. 44) and see how close you are.

Research Funding by Discipline

On page 40, and usually the most interesting/contentious. Overall success rate was 25% – a little down from last year, but a huge improvement on 14% two years ago.

Big winners? History (4 from 6); Linguistics (5 from 9), social anthropology (4 from 9), Political and International Studies (9 from 22), and Psychology (26 from 88, – just under 30% of all grants funded were in psychology). Big losers? Education (1 from 27), Human Geography (1 from 19), Management and Business Studies (2 from 22).

Has this changed much from previous years? Well, you can read what I said last year and the year before on this, but overall it’s hard to say because we’re talking about relatively small numbers for most subjects, and because some discipline classifications have changed over the last few years. But, once again, for the third year in a row, Business and Management and Education do very, very poorly.

Human Geography has also had a below average success rate for the last few years, but going from 1 in 19 from 3 from 14 probably isn’t that dramatic a collapse – though it’s certainly a bad year. I always make a point of trying to be nice about Human Geography, because I suspect they know where I live. Where all of us live. Oh, and Psychology gets a huge slice of the overall funding, albeit not a disproportionate one given the number of applications.

Which kinds of brings us back to the same questions I asked in my most-read-ever piece – what on earth is going on with Education and Business and management research, and why do they do so badly with the ESRC? I still don’t have an entirely satisfactory answer.

I’ve put together a table showing changes to disciplinary success rates over the last few years which I’m happy to share, but you’ll have to email me for a copy. I’ve not uploaded it here because I need to check it again with fresh eyes before it’s used – fiddly, all those tables and numbers.