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Archive for April, 2019


Universities are always cash strapped, and over the last few decades there has been a drop  in the number of PhDs funded by the UK government. In essence stipends have been increased (absolutely necessary and credit to The Wellcome Trust for pushing this), but funding has not increased commensurately. So numbers have dropped.

The response of institutions has been to push for more overseas students and to develop, from internal monies various funding  schemes. However, generally this has only served to replace losses in numbers funded by government. Gone are the days when every PI expected a new PhD student every year. This has a detrimental effect on research culture, as it leads to centralisation, a reduction in diversity (in the broadest sense of the word) and fewer trained scientists. The UK relies extensively on scientists trained elsewhere for its R&D and we need to do more in relation to training. Granted science is a mobile and international profession, but without contributing proportionally to the global talent pool, our R&D may wither in the long run.

The problem is money: institutions have limited funds they can use for PhD studentships. Our European model, where PhD students are fully funded for a set number of years (usually 3-4, sometimes a few more) is in my view preferable to the US one, where students work to support themselves. This is for the simple reason that the latter model can lead to feudalism and abuse of power, which is well documented.

There is money available for institutions willing to take leadership on the Open Access Agenda.

An aggressive pursuit of an Open Access agenda, as has been done in Germany, The Netherlands and Sweden, and most recently UC, means cancelling subscriptions to the journals of the Big Four. This frees up a substantial budget, with no ill effect on research and scholarship. A portion of the funds would, of course, need to be used to hire librarians supporting document sourcing by UG and researchers and the balance to fund PhD students. I note that teaching UGs these skills is important, since most STEM workplaces (industry, where many STEM graduates and postgraduates work) do not have large libraries. One advantage of using internal funds is that one can select and so only take the very best candidates, rather than restricting enrolment to those with access to funding. While such proposals will likely be met with horror by a good many academic staff, once in place it appears that no one notices much change and continues to work productively. This is the experience of countries and institutions that have cancelled subscriptions to one or more of the Big Four.

Sadly, with my University running workshops on “How to get published in Nature”, it appears that we are 20 years behind the times and this simple and effective means to improve teaching and research (PhD students being an engine room for research) is unlikely to see the light of day here.

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Vote or be damned


We now have two UKIP parties, UKIP led by Batten, and The Brexit Party led by Farage. They and their MEPs rarely turn up for work yet collect a big fat salary.

There is ONLY ONE WAY to stop these freeloaders getting a fat salary for no work: vote for someone else.

How to get rid of these scum

  1. Register to vote and go and vote (MEP elections will follow the Council ones).
  2. Check that 10 of your mates are registered and that they go and vote on the day.
  3. Make sure each of your 10 mates gets 10 of their mates out.

That way we get a result.

Who to vote for? Anyone, but not UKIP or The Brexit Party.

Why will this work?

The elections to the European parliament are by proportional representation. That means each party is allocated seats according to the % of the vote they get.

This is completely different to how we elect Councillor sand MPs, where the candidate with the most votes in a ward/constituency gets elected, regardless of the % of the vote a party gets across all constituencies in the country.

Core  UKIP voters vote anyway. The reason UKIP gets MEPs is because the rest of us cannot be bothered to turn up and vote. So there are less votes in total and the UKIP % is inflated accordingly. The more of us vote, the lower their %, the fewer MEPs they get. It is that simple.

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Following a request to comment on a future university-wide workload management scheme, I thought it useful to put my comments in a public place, as these schemes are proliferating.

Simple questions that should be answered before any effort is put into devising and implementing such a scheme:

1. The motivation question

What is it for and who benefits?

The answer to the first is ‘fairness’, and, therefore, the beneficiaries are the employees.  That is, such schemes will ensure that activity and productivity are quantified, so Bloggs, a well-known skiver, will be found out, and made to contribute to teaching and research. People buy into this, without critically examining the evidence: is Bloggs actually skiving? If Bloggs is not putting in a decent shift, perhaps there are good reasons for this, such burn out. In any event, do we need a detailed workload scheme to manage Bloggs? The answer is no, it is perfectly possible to manage Bloggs without such a scheme, as long as a Head of Department has some simple information: is Bloggs producing papers and is Bloggs teaching? If productivity on the first count is low, then Bloggs can pick up more teaching.

What the workload system does create is a hierarchy, a value system, which equates to a class system. So some colleagues are upper class, others middle class and yet others lower class. It not surprising that class ridden Anglo cultures that have never had a revolution in the modern (1789) sense love workload systems. This does nothing for fairness and poisons the workplace, reducing collegiality. The importance of a class system is evident from the tone and content of presentations by senior management. It also provides senior management with an ‘achievement’, so justifying what Piketty termed ‘super manager salaries’ that have spread from the private sector to the upper echelons of universities. As Piketty points out, the success of this new breed of managers is down to luck, not skill.

2. The dimensional analysis question

Is this measurable and what are the units?

Another simple question, which should be the first posed by a scientist, yet is rarely is. The answers have always been poor, unlikely to gain a pass mark.

Any workload management scheme needs quantitative measurements: teaching, administration and research activity are given values. These must have some sort of unit. One can argue that this is possible for the first two, in that qualitatively they can be measured in a unit of time. This can only be qualitative, particularly in the instance of small group teaching, since individual students are extremely variable in their needs, a simple consequence of humans being an outbred animal. For research, there are different units, and likely more than one. Reading could be given a time unit, writing not so. I challenge anyone to come up for a singular unit for supervision and training of research staff, since this is dependent on the individual and the project. Acquisition of resources is often simply measured in cash terms, nice and simple. But who gets the credit? PI? Co-I?. And how about Bloggs, who isn’t on the grant, but asked a key question that sparked the entire idea? Again we come back to the importance of collegiality. Damage that and you damage the entire teaching and research enterprise.

A workload scheme represents a metrification of employee activity. As such it is the cornerstone of lazy management, where rather than putting in the effort to make a professional judgement, an individual’s activities are boiled down to a score. This will fail to increase productivity or to make workloads fairer. I say that with confidence, because our own School/Institute scheme has failed on both counts. Reading a colleague’s papers on the other hand provides a rather different view, but that is something that senior management could not contemplate, because it takes them out of the decision -making loop.

I would recommend a read of this article on the failure of metrification to achieve its aims.

Finally, can anyone provide evidence that a workload management scheme increased teaching quality and the research productivity of an institutions? Any such evidence has to have the effects of new hires stripped out.

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