Resourse list for academics new to social media

(This didn't happen)
"You will make sure that your research methodology links with your research questions, you snivelling little maggot!"

This week I was asked to be involved in a Research Grant application ‘bootcamp’ to talk in particular about the use of social media in pathways to impact plans, and academic blogging in general.  I was quick to disclaim expertise in this area – I’ve been blogging for a while now, but I’m not an academic and I’m certainly not an expert on social media.  I’m also not sure about this use of the word ‘bootcamp’.  We already have ‘workshop’ and ‘surgery’ as workplace-based metaphors for types of activity, and I’m not sure we’re ready for ‘bootcamp’.  So unless the event turns out to involve buzzcuts, a ten mile run, and an assault course, I’ll be asking for my money back.

But I thought I’d try to put together a list of resources and examples that I was already aware of in time for the session, and I then I wondered about ‘crowdsourcing’ (i.e. lazily ask my readers/twitter followers) some others that I might have missed.  Hopefully we’ll then end up with a general list of resources that everyone can use.  I’ve pasted some links below, along with a few observations of my own.  Please do chip in with your thoughts, experiences, tips, and recommendations for resources.

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Things I have learnt about using social media

Blogging

  • You must have a clear idea about your intended audience and what you hope to achieve.  Blogging for the sake of it or because it’s flavour of the month or because you think it is expected is unlikely to be sustainable or to achieve the desired results.
  • A good way to start is to search for people doing a similar thing and contact them asking if you can link to their blog.  Everyone likes being linked to, and this is a good way to start conversations.  Once established, support others in the same way.
  • You have to build something of a track record of posts and tweets to be credible as a consistent source of quality content – you’ve got to earn a following, and this takes time, work, and patience.  And even then, might not work.  Consider a ‘soft launch’ to build your track record, and then a second wave of more intensive effort to get noticed.
  • Posting quality comments on other people’s blogs, either in their comments section, or in a post on your blog, can be a good way to attract attention.
  • Illustrate blog posts with a picture (perhaps found through google images) – a lot of successful bloggers seem to do this.
  • Multi-author blogs and/or guest posts are a good way to share the load.
  • And consequently, offering guest posts or content to established blogs is a way to get noticed.
  • The underlying technology is now very straightforward.  Anyone who is reasonably computer literate will have little trouble learning the technical skills.  The editing frame where I’m writing this in looks a lot like Word, and I’ve used precisely no programming/HTML stuff – that can all be automated now.

Twitter

  • The technology of @s and # is fairly straightforward to pick up – find some relevant/interesting people to follow and you’ll soon pick it up, or read one of the guides below.
  • A good way to reach people is to get “retweets” – essentially when someone else with a bigger following forwards your message.  You do this by addressing posts to them using the @ symbol
  • Generally the pattern of retweets seems to be when people find something interesting and it suits their message.  So… the ESRC retweeted my blog post linking to their regional visit presentation when my blog post said nice things about the visit and linked to their presentation
  • Weird mix of personal and professional.  Some twitter accounts are uniquely professional, others uniquely personal, but many seem a mixture.  Some of the usual barriers seem not to apply, or apply only loosely.  Care needs to be taken here.

General

  • Social media is potentially a huge time sink – keep in mind costs in time versus benefits gained
  • It can be a struggle if you’re naturally shy and attention seeking doesn’t come easily to you

Resources and further reading:

Examples of individual UoN blogs:

Patter – Pat Thomson, School of Education http://patthomson.wordpress.com/
Political Apparitions – Steven Fielding, School of Politics http://stevenfielding.com/
Registrarism – Paul Greatrix, University Registrar  http://registrarism.wordpress.com/
Cash for Questions, Adam Golberg, NUBS  https://socialscienceresearchfunding.co.uk/

UoN Group/institutional/project blogs:

Bullets and Ballots – UoN School of Politics: http://nottspolitics.org/
China Policy Institute http://blogs.nottingham.ac.uk/chinapolicyinstitute/
Centre for Corporate Social Responsibility
http://blogs.nottingham.ac.uk/betterbusiness/

UoN blogs home http://blogs.nottingham.ac.uk/

Guides:

Twitter Guide – LSE Impact in Social Sciences
http://blogs.lse.ac.uk/impactofsocialsciences/2011/09/29/twitter-guide/

6 tips on blogging about research (Sarah Stewart (EdD Student, Otago University, NZ)
http://sarah-stewart.blogspot.co.uk/2012/04/my-top-6-tips-for-how-to-blog-about.html

Blogging about your research – first steps  (University of Warwick)
http://www2.warwick.ac.uk/services/library/researchexchange/topics/gd0007/

Is blogging or tweeting about research papers worth it? (Melissa Terras, UCL)
http://blogs.lse.ac.uk/impactofsocialsciences/2012/04/19/blog-tweeting-papers-worth-it/

A gentle introduction to twitter for the apprehensive academic, (Dorothy Bishop, University of Oxford)
http://deevybee.blogspot.co.uk/2011/06/gentle-introduction-to-twitter-for.html

Twitter accounts:

List of official University of Nottingham Twitter accounts
https://twitter.com/#!/UniofNottingham/uontwitteraccounts

Lists of academic twitter accounts (Curator: LSE Impact project team)
https://twitter.com/#!/LSEImpactBlog/soc-sci-academic-tweeters

https://twitter.com/#!/LSEImpactBlog/business-tweeters

https://twitter.com/#!/LSEImpactBlog/arts-academic-tweeters

https://twitter.com/#!/LSEImpactBlog/think-tanks

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Some of the links and choices of examples, are more than a little University of Nottingham-centric, but then this was an internal event.  I’ve not checked with the authors of the various resources I’ve linked to, and taken the liberty of assuming that they won’t mind the link and recognition.  But happy to remove any on request.

Any resources I’ve missed?  Any more thoughts and suggestions?  Please comment below….

A partial, qualified, cautious defence of the Research Excellence Framework (REF)

No hilarious visual puns on REF / Referees from me....

There’s been a constant stream of negative articles about the Research Excellence Framework (for non-UK readers, this is the “system for assessing the quality of research in UK higher education institutions”) over the last few months, and two more have appeared recently (from David Shaw, writing in the Times Higher, and from Peter Wells on the LSE Impact Blog)  which have prompted me to respond with something of a defence of the Research Excellence Framework.

One crucial fact that I left out of the description of the REF in the previous paragraph is that “funding bodies intend to use the assessment outcomes to inform the selective allocation of their research funding to HEIs, with effect from 2015-16”.  And I think this is a fact that’s also overlooked by some critics.  While a lot of talk is about prestige and ‘league tables’, what’s really driving the process is the need to have some mechanism for divvying out the cash for funding research – QR funding.  We could most likely do without a “system for assessing the quality of research” across every discipline and every UK university in a single exercise using common criteria, but we can’t do without a method of dividing up the cake as long as there’s still cake to share out.

In spite of the current spirit of perpetual revolution in the sector, money  is still paid (via HEFCE) to universities for research, without much in the way of strings attached.  This basic, core funding is one half of the dual funding system for research in the UK – the other half being funding for individual research projects and other activities through the Research Councils.  What universities do with their QR funding varies, but I think typically a lot of it is in staff salaries, so that the number of staff in any given discipline is partly a function of teaching income and research income.

I do have sympathy for some of the arguments against the REF, but I find myself returning to the same question – if not this way, then how? 

It’s unfair to expect anyone who objects to any aspect of the REF to furnish the reader with a fully worked up alternative, but constructive criticism must at least point the way.  One person who doesn’t fight shy of coming up with an alternative is Patrick Dunleavy, who has argued for a ‘digital census’ involving the use of citation data as a cheap, simple, and transparent replacement for the REF.  That’s not a debate I feel qualified to participate in, but my sense is that Dunleavy’s position on this is a minority one in UK academia.

In general, I think that criticisms of the REF tend to fall into the following broad categories.  I don’t claim to address decisively every last criticism made (hence the title), but for what it’s worth, here are the categories that I’ve identified, and what I think the arguments are.

1.  Criticism over details

The REF team have a difficult balancing act.  On the one hand,  they need rules which are sensitive to the very real differences between different academic disciplines.  On the other, fairness and efficiency calls for as much similarity in approach, rules, and working methods as possible between panels.  The more differences between panels, the greater the chances of confusion and of mistakes being made in the process of planning and submitting REF returns which could seriously affect both notional league table placing and cold hard cash.  The more complicated the process, the greater the transaction costs.   Which brings me onto the second balancing act.  On the one hand, it needs to be a rigorous and thorough process, with so much public money at stake.  On the other hand, it needs to be lean and efficient, minimising the demands on the time of institutions, researchers, and panel members.   This isn’t to say that the compromise reached on any given point between particularism and uniformity, and between rigour and efficiency, is necessarily the right one, of course.  But it’s not easy.

2.  Impact

The use of impact at all.  The relative weighting of impact.  The particular approach to impact.  The degree of uncertainty about impact.  It’s a step into the unknown for everyone, but I would have thought that the idea that there be some notion of impact, some expectation that where academic research makes a difference in the real world, we should ensure it does so.  I have much more sympathy for some academic disciplines than others as regards objections to the impact agenda.  Impact is really a subject for a blog post in itself, but for now, it’s worth noting that it would be inconsistent to argue against the inclusion of impact in the REF and also to argue that it’s too narrow in terms of what it values and what it assesses.

3.  Encouraging game playing

While it’s true that the REF will encourage game playing in similar (though different) ways to its predecessors, I can’t help but think this is inevitable and would also be true of every possible alternative method of assessment.  And what some would regard as gaming, others would regard as just doing what is asked of them.

One particular ‘game’ that is played – or, if you prefer, strategic decision that is made – is about what the threshold to submit is.  It’s clear that there’s no incentive to include those whose outputs are likely to fall below the minimum threshold for attracting funding.  But it’s common for some institutions for some disciplines to have a minimum above this, with one eye not only on the QR funding, but also on league table position.  There are two arguments that can be made against this.  One is that QR funding shouldn’t be so heavily concentrated on the top rated submissions and/or that more funding should be available.  But that’s not an argument against the REF as such.  The other is that institutions should be obliged to submit everyone.  But the costs of doing so would be huge, and it’s not clear to me what the advantages would be – would we really get better or more accurate results with which to share out the funding.  Because ultimately the REF is not about individuals, but institutions.

4. Perverse incentives

David Shaw, in the Times Higher, sees a very dangerous incentive in the REF.

REF incentivises the dishonest attribution of authorship. If your boss asked you to add someone’s name to a paper because otherwise they wouldn’t be entered into the REF, it could be hard to refuse.

I don’t find this terribly convincing.  While I’m sure that there will be game playing around who should be credited with co-authored publications, I’d see that as acceptable in a way that the fraudulent activity that Shaw fears (but stresses that he’s not experienced first-hand) just isn’t.  There is opportunity for  – and temptations to – fraud, bad behaviour and misconduct in pretty much everything we do, from marking students’ work to reporting our student numbers to graduate destinations.  I’m not clear how that makes any of these activities ‘unethical’ in the way his article seems to argue.  Fraud is low in our sector, and if anyone does commit fraud, it’s a huge scandal and heads roll.  It ruins careers and leaves a long shadow over institutions.  Even leaving aside the residual decency and professionalism that’s the norm in our sector, it would be a brave Machiavellian Research Director who would risk attempting this kind of fraud.  To make it work, you need the cooperation and the silence of two academic researchers for every single publication.  Risk versus reward – just not worth it.

Peter Wells, on the LSE blog, makes the point that the REF acts as an active disincentive for researchers to co-author papers with colleagues at their own institution, as only one can return the output to the REF.  That’s an oversimplification, but it’s certainly true that there’s active discouragement of the submission of the same output multiple times in the same return.  There’s no such problem if the co-author is at another institution, of course.  However, I’m not convinced that this theoretical disincentive makes a huge difference in practice.  Don’t academics co-author papers with the most appropriate colleague, whether internal or external?  How often – really – does a researcher chose to write something with a colleague at another institution rather than a colleague down the corridor?  For REF reasons alone?  And might the REF incentive to include junior colleagues as co-authors that Shaw identifies work in the other direction, for genuinely co-authored pieces?

In general, proving the theoretical possibility of a perverse incentive is not sufficient to prove its impact in reality.

5.  Impact on morale

There’s no doubt that the REF causes stress and insecurity and can add significantly to the workload of those involved in leading on it.  There’s no doubt that it’s a worrying time, waiting for news of the outcome of the R&R paper that will get you over whatever line your institution has set for inclusion.  I’m sure it’s not pleasant being called in for a meeting with the Research Director to answer for your progress towards your REF targets, even with the most supportive regime.

However…. and please don’t hate me for this…. so what?  I’m not sure that the bare fact that something causes stress and insecurity is a decisive argument.  Sure, there’s a prima facie for trying to make people’s lives better rather than worse, but that’s about it.  And again, what alternative system which would be equally effective at dishing out the cash while being less stressful?  The fact is that every job – including university jobs – is sometimes stressful and has downsides rather than upsides.  Among academic staff, the number one stress factor I’m seeing at the moment is marking, not the REF.

6.  Effect on HE culture

I’ve got more time for this argument than for the stress argument, but I think a lot of the blame is misdirected.  Take Peter Wells’ rather utopian account of what might replace the REF:

For example, everybody should be included, as should all activities.  It is partly by virtue of the ‘teaching’ staff undertaking a higher teaching load that the research active staff can achieve their publications results; without academic admissions tutors working long hours to process student applications there would be nobody to receive research-led teaching, and insufficient funds to support the University.

What’s being described here is not in any sense a ‘Research Excellence Framework’.  It’s a much broader ‘Academic Excellence Framework’, and that doesn’t strike me as something that’s particularly easy to assess.  How on earth could we go about assessing absolutely everything that absolutely everyone does?  Why would we give out research cash according to how good an admissions tutor someone is?

I suspect that what underlies this – and some of David Shaw’s concerns as well – is a much deeper unease about the relative prestige and status attached to different academic roles: the research superstar; the old fashioned teaching and research lecturer; those with heavy teaching and admin loads who are de facto teaching only; and those who are de jure teaching only.  There is certainly a strong sense that teaching is undervalued – in appointments, promotions, in status, and in other ways.  Those with higher teaching and admin workloads do enable others to research in precisely the way that Shaw argues, and respect and recognition for those tasks is certainly due.  And I think the advent of increased tuition fees is going to change things, and for the better in the sense of the profile and status of excellent teaching.

But I’m not sure why any of these status problems are the fault of the REF.  The REF is about assessing research excellence and giving out the cash accordingly.  If the REF is allowed to drive everything, and non-inclusion is such a badge of dishonour that the contributions of academics in other areas are overlooked, well, that’s a serious problem.  But it’s an institutional one, and not one that follows inevitably from the REF.  We could completely change the way the REF works tomorrow, and it will make very little difference to the underlying status problem.

It’s not been my intention here to refute each and every argument against the REF, and I don’t think I’ve even addressed directly all of Shaw and Wells’ objections.  What I have tried to do is to stress the real purpose of the REF, the difficulty of the task facing the REF team, and make a few limited observations about the kinds of objections that have been put forward.  And all without a picture of Pierluigi Collina.

New year’s wishes….

The new calendar year is traditionally a time for reflection and for resolutions, but in a fit of hubris I’ve put together a list of resolutions I’d like to see for the sector, research funders, and university culture in general.  In short, for everyone but me.  But to show willing, I’ll join in too.

No more of the following, please….

1.  “Impactful”

Just…. no.  I don’t think of myself a linguistic purist or a grammar-fascist, though I am a pedant for professional purposes.  I recognise that language changes and evolves over time, and I welcome changes that bring new colour and new descriptive power to our language.  While I accept that the ‘impact agenda’ is here to stay for the foreseeable future, the ‘impactful’ agenda need not be.  The technical case against this monstrosity of a word is outlined at Grammarist, but surely the aesthetic case is conclusive in itself.  I warn anyone using this word in my presence that I reserve the right to tell them precisely how annoyful they’re being.

2.  The ‘Einstein fallacy’

This is a mistaken and misguided delusion that a small but significant proportion of academics appear to be suffering from.  It runs a bit like this:
1) Einstein was a genius
2) Einstein was famously absent-minded and shambolic in his personal organisation
3) Conclusion:  If I am or pretend to be absent-minded and shambolic , either:
(3a) I will be a genius; or
(3b) People will think I am a genius; or
(3c) Both.

I accept that some academics are genuinely bad at administration and organisation. In some cases it’s a lack of practice/experience, in others a lack of confidence, and I accept  that this is just not where their interests and talent lies.  Fair enough.  But please stop being deliberately bad at it to try to impress people.  Oh, you can only act like a prima donna if you have the singing skills to back it up…

3)  Lack of predictability in funding calls

Yes, I’m looking at you, ESRC.  Before the comprehensive spending review and all of the changes that followed from that, we had a fairly predictable annual cycle of calls, very few of which had very early autumn deadlines.  Now we’re into a new cycle which may or may not be predictable, and a lot of them seem to be very early in the academic year.  Sure, let’s have one off calls on particular topics, but let’s have a predictable annual cycle for everything else with as much advance notice as possible.  It’ll help hugely with ‘demand management’ because it’ll be much easier to postpone applications that aren’t ready if we know there will be another call.  For example, I was aware of a couple of very strong seminar series ideas which needed further work and discussion within the relevant research and research-user communities.  My advice was to start that work now using the existence of the current call as impetuous, and to submit next year.  But we’ve taken a gamble, as we don’t know if there will be another call in the future, and you can’t tell me because apparently a decision has yet to be made.

4)  Lazy “please forward as appropriate” emails

Stuff sent to me from outside the Business School with the expectation that I’ll just send it on to everyone.  No.  Email overload is a real problem, and I write most of my emails with the expectation that I have ten seconds at most either to get the message across, or to earn an attention extension.  I mean, you’re not even reading this properly are you?  You’re probably skim reading this in case there’s a nugget of wit amongst the whinging.  Every email I sent creates work for others, and every duff, dodgy, or irrelevant email I send reduces my e-credit rating.  I know for a fact that at least some former colleagues deleted everything I sent without reading it – there’s no other explanation I can think of for missing two emails with the header including the magic words “sabbatical leave”.

So… will I be spending my e-credit telling my colleagues about your non-business school related event which will be of interested to no-one?  No, no, and most assuredly no.  I will forward it “as appropriate”, if by “appropriate” you mean my deleted items folder.

Sometimes, though, a handful of people might be interested.  Or quite a lot of people might be interested, but it’s not worth an individual email.  Maybe I’ll put it on the portal, or include it in one of my occasional news and updates emails.  Maybe.

If you’d like me to do that, though, how about sending me the message in a form I can forward easily and without embarrassment?  With a meaningful subject line, a succinct and accurate summary in the opening two sentences?  So that I don’t have to do it for you before I feel I can send it on.  There’s a lovely internet abbreviation – TL:DR – which stands for Too Long: Didn’t Read.  I think its existence tells us something.

5)  People who are lucky enough to have interesting, rewarding and enjoyable jobs with an excellent employer and talented and supportive colleagues, who always manage to find some petty irritants to complain about, rather than counting their blessings.

 

Outstanding researcher or Oustanding grant writer?

"It's all the game, yo....."

The Times Higher has a report on Sir Paul Nurse‘s ‘Anniversary Day’ address to the Royal Society.  Although the Royal Society is a learned society in the natural rather than the social sciences, he makes an interesting distinction that seems to have – more or less unchallenged – become a piece of received wisdom across many if not all fields of research.

Here’s part of what Sir Paul had to say (my underline added)

Given this emphasis on the primacy of the individuals carrying out the research, decisions should be guided by the effectiveness of the researchers making the research proposal. The most useful criterion for effectiveness is immediate past progress. Those that have recently carried out high quality research are most likely to continue to do so. In coming to research funding decisions the objective is not to simply support those that write good quality grant proposals but those that will actually carry out good quality research. So more attention should be given to actual performance rather than planned activity. Obviously such an emphasis needs to be tempered for those who have only a limited recent past record, such as early career researchers or those with a break in their careers. In these cases making more use of face-to-face interviews can be very helpful in determining the quality of the researcher making the application.

I guess my first reaction to this is to wonder whether interviews are the best way of deciding research funding for early career researchers.  Apart from the cost, inconvenience and potential equal opportunities issues of holding interviews, I wonder if they’re even a particularly good way of making decisions.  When it comes to job interviews, I’ve seen many cases where interview performance seems to take undue priority over CV and experience.  And if the argument is that sometimes the best researchers aren’t the best communicators (which is fair), it’s not clear to me how an interview will help.

My second reaction is to wonder about the right balance between funding excellent research and funding excellent researchers.  And I think this is really the point that Sir Paul is making.  But that’s a subject for another entry, another time.  Coming soon!

My third reaction – and what this entry is about – is the increasingly common assumption that there is one tribe of researchers who can write outstanding applications, and another which actually does outstanding research.  One really good expression of this can be found in a cartoon at the ever-excellent Research Counselling.  Okay, so it’s only a cartoon, but it wouldn’t have made it there unless it was tapping into some deeper cultural assumptions.  This article from the Times Higher back at the start of November speaks of ‘Dr Plods’ – for whom getting funding is an aim in itself – and ‘Dr Sparks’ – the ones who deserve it – and there seems to be little challenge from readers in the comments section below.

But does this assumption have any basis in fact?  Are those who get funded mere journeymen and women researchers, mere average intellects, whose sole mark of distinction is their ability to toady effectively to remote and out-of-touch funding bodies?  To spot the research priority flavour-of-the-month from the latest Delivery Plan, and cynically twist their research plans to match it?  It’s a comforting thought for the increasingly large number of people who don’t get funding for their project.  We’d all like to be the brilliant-but-eccentric-misunderstood-radical-unappreciated genius, who doesn’t play by the rules, cuts a few corners but gets the job done, and to hell with the pencil pushers at the DA’s office in city hall in RCUK’s offices in downtown Swindon.  A weird kind of cross between Albert Einstein and Jimmy McNulty from ‘The Wire’.

While I don’t think anyone is seriously claiming that the Sparks-and-Plods picture should be taken literally, I’m not even sure how much truth there is in it as a parable or generalisation.  For one thing, I don’t see how anyone could realistically Plod their way very far from priority to priority as they change and still have a convincing track record for all of them.  I’m sure that a lot of deserving proposals don’t get funded, but I doubt very much that many undeserving proposals do get the green light.  The brute fact is that there are more good ideas than there is money to spend on funding them, and the chances of that changing in the near future are pretty much zero.  I think that’s one part of what’s powering this belief – if good stuff isn’t being funded, that must be because mediocre stuff is being funded.  Right?  Er, well…. probably not.  I think the reality is that it’s the Sparks who get funded, but it’s those Sparks who are better able to communicate their ideas and make a convincing case for fit with funders’ or scheme priorities.  Plods, and their ‘incremental’ research (a term that damns with faint praise in some ESRC referee’s reports that I’ve seen) shouldn’t even be applying to the ESRC – or at least not to the standard Research Grants scheme.

A share of this Sparks/Plods view is probably caused by the impact agenda.  If impact is hard for the social sciences, it’s at least ten times as hard for basic research in many of the natural sciences.  I can understand why people don’t like the impact agenda, and I can understand why people are hostile.  However, I’ve always understood the impact agenda as far as research funding applications are concerned is that if a project has the potential for impact, it ought to, and there ought to be a good, solid, thought through, realistic, and defensible plan for bringing it about.  If there genuinely is no impact, argue the case in the impact statement.  Consider this, from the RCUK impact FAQ.

How do Pathways to Impact affect funding decisions within the peer review process?

The primary criterion within the peer review process for all Research Councils is excellent research. This has always been the case and remains unchanged. As such, problematic research with an excellent Pathways to Impact will not be funded. There are a number of other criteria that are assessed within research proposals, and Pathways to Impact is now one of those (along with e.g. management of the research and academic beneficiaries).

Of course, how this plays out in practice is another matter, but every indication I’ve had from the ESRC is that this is taken very seriously.  Research excellence comes first.  Impact (and other factors) second.  These may end up being used in tie-breakers, but if it’s not excellent, it won’t get funded.  Things may be different at the other Research Councils that I know less about, especially the EPSRC which is repositioning itself as a sponsor of research, and is busy dividing and subdividing and prioritising research areas for expansion or contraction in funding terms.

It’s worth recalling that it’s academics who make decisions on funding.  It’s not Suits in Swindon.  It’s academics.  Your peers.  I’d be willing to take seriously arguments that the form of peer review that we have can lead to conservatism and caution in funding decisions.  But I find it much harder to accept the argument that senior academics – researchers and achievers in their own right – are funding projects of mediocre quality but good impact stories ahead of genuinely innovative, ground-breaking research which could drive the relevant discipline forward.

But I guess my message to anyone reading this who considers herself to be more of a ‘Doctor Spark’ who is losing out to ‘Doctor Plod’ is to point out that it’s easier for Sparky to do what Ploddy does well than vice versa.  Ploddy will never match your genius, but you can get the help of academic colleagues and your friendly neighbourhood research officer – some of whom are uber-Plods, which in at least some cases is a large part of the reason why they’re doing their job rather than yours.

Want funding?  Maximise your chances of getting it.  Want to win?  Learn the rules of the game and play it better.  Might your impact plan be holding you back?  Take advantage of any support that your institution offers you – and if it does, be aware of the advantage that this gives you.  Might your problem be the art of grant writing?  Communicating your ideas to a non-specialised audience?  To reviewers and panel members from a cognate discipline?  To a referee not from your precise area?  Take advice.  Get others to read it.  Take their impressions and even their misunderstandings seriously.

Or you could write an application with little consideration for impact, with little concern for clarity of expression or the likely audience, and then if you’re unsuccessful, you can console yourself with the thought that it’s the system, not you, that’s at fault.

What would wholesale academic adoption of social media look like?

A large crowd of people
Crowded out?

Last week, the LSE Impact of Social Sciences blog was asking for its readers and followers to nominate their favourite academic tweeters.  This got me thinking.  While that’s a sensible question to ask now, and one that could create a valuable resource, I wonder whether the question would make as much sense if asked in a few years time?

The drivers for academics (and arguably academic-related types like me) to start to use twitter and to contribute to a blog are many – brute self-promotion; desire to join a community or communities; to share ideas; to test ideas; to network and make new contacts; to satisfy the impact requirements of the research funder; and so on and so forth.  I think most current PhD students would be very well advised to take advantage of social media to start building themselves an online presence as an early investment in their search for a job (academic or otherwise).   I’d imagine that a social media strategy is now all-but-standard in most ESRC ‘Pathways to Impact’ documents.  Additionally, there are now many senior, credible, well-established academic bloggers and twitterers, many of whom are also advocates for the use of social media.

So, what would happen if there was a huge upsurge in the number of academics (and academic-relateds) using social media?  What if, say, participation rates reach about 20% or so?  Would the utility of social media scale, or would the noise to signal ratio be such that its usefulness would decrease?

This isn’t a rhetorical question – I’ve really no idea and I’m curious.  Anyone?  Any thoughts?

I guess that there’s a difference between different types of social media.  I have friends who are outside the academy and who have Twitter accounts for following and listening, rather than for leading or talking.  They follow the Brookers and the Frys and the Goldacres, and perhaps some news sources.  They use Twitter like a form of RSS feed, essentially.

But what about blogging, or using Twitter to transmit, rather than to receive?  If even 10% of academics have an active blog, will it still be possible or practical to keep track of everything relevant that’s written.  In my field, I think I’ve linked to pretty much every related blog (see links in the sidebar) in the UK, and one from Australia.  In certain academic fields it’s probably similarly straightforward to keep track of everyone significant and relevant.  If this blogging lark catches on, there will come a point at which it’s no longer possible for anyone to keep up with everything in any given field.  So, maybe people become more selective and we drop down to sub-specialisms, and it becomes sensible to ask for our favourite academic tweeters on non-linear economics, or something like that.

On the other hand, it might be that new entrants to the blogging market will be limited and inhibited by the number already present.  Or we might see more multi-author blogs, mergers etc and so on until we re-invent the journal.  Or strategies that involve attracting the attention and comment of influential bloggers and the academic twitterati (a little bit of me died inside typing that, I hope you’re happy….).  Might that be what happens?  That e-hierarchies form (arguably they already exist) that echo real world hierarchies, and effectively squeeze out new entrants?  Although… I guess good content will always have a chance of ‘going viral’ within relevant communities.

Of course, it may well be that something else will happen.  That Twitter will end up in the same pile as MySpace.  Or that it simply won’t be widely adopted or become mainstream at all.  After all, most academics still don’t have much of a web 1.0 presence beyond a perfunctory page on their Department website.

That’s all a bit rambly and far longer than I meant it to be.  But as someone who is going to be recommending the greater use of social media to researchers, I’d like to have a sense of where all this might be going, and what the future might hold.  Would the usefulness of social media as an academic communication, information sharing, and networking tool effectively start to diminish once a certain point is reached?  Or would it scale?