Rankings: a case of blurry pictures of the academic landscape?

Editors’ note: this guest entry has been kindly contributed by Pablo Achard (University of Geneva).  After a PhD in particle physics at CERN and the University of Geneva (Switzerland), Pablo Achard (pictured to the right) moved to the universities of Marseilles (France) then Antwerp (Belgium) and Brandeis (MA) to pursue research in computational neurosciences. He currently works at the University of Geneva where he supports the Rectorate on bibliometrics and strategic planning issues. Our thanks to Dr. Achard for this ‘insiders’ take on the challenges of making sense of world university rankings. 

Kris Olds & Susan Robertson

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If the national rankings of universities can be traced back in the 19th century, international rankings appeared somewhere in the beginning of the 21st century [1]. Shanghai Jiao Tong University’s and Times Higher Education’s (THE) rankings were among the pioneers and remain among the most visible ones. But you might have heard of similar league tables designed by the CSIC, the University of Leiden, the HEEACT, QS, the University of Western Australia, RatER, Mines Paris Tech, etc. Such a proliferation certainly responds to a high demand. But what are they worth? I argue here that rankings are blurry pictures of the academic landscape. As such, they are much better than complete blindness but should be used with great care.

Blurry pictures

The image of the academic landscape grabbed by the rankings is always a bit out-of-focus. This is improving with time and we should acknowledge the rankers who make considerable efforts to improve the sharpness. Nonetheless, the sharp image remains an impossible to reach ideal.

First of all, it is very difficult to get clean and comparable data on such a large scale. The reality is always grey, the action of counting is black or white. Take such a central element as a “researcher”. What should you count? Heads or full-time equivalents? Full-time equivalents based on their contracts or the effective time spent at the university? Do you include PhD “students”? Visiting scholars? Professors on sabbaticals? Research engineers? Retired professors who still run a lab? Deans who don’t? What do you do with researchers affiliated with non-university research organizations still loosely connected to a university (think of Germany or France here)? And how do you collect the data?

This toughness to obtain clean and comparable data is the main reason for the lack of any good indicator about teaching quality. To do it properly, one would need to evaluate the level of knowledge of the students upon graduation, and possibly compare it with their level when they entered the university. To this aim, OECD is launching a project called AHELO, but it is still in its pilot phase. In the meantime, some rankers use poor proxies (like the percentage of international students) while others focus their attention on research outcomes only.

Second, some indicators are very sensitive to “noise” due to small statistics. This is the case for the number of Nobel prizes used by the Shanghai’s ranking. No doubt that having 20 of them in your faculty says something about its quality. But having one, obtained years ago, for a work partly or fully done elsewhere? Because of the long tailed distribution of the university rankings, such a unique event won’t push a university ranked 100 into the top 10, but a university ranked 500 can win more than a hundred places.

This dynamic seemed to occur in the most recent THE ranking. In their new methodology, the “citation impact” of a university counts for one third of the final note. Not many details were given on how this impact is calculated. But the description on the THE’s website and the way this impact is calculated by Thomson Reuters – who provides the data to THE – in its commercial product InCites. makes me believe that they used the so-called “Leiden crown indicator”. This indicator is a welcome improvement to the raw ratio of citations per publications since it takes into account the citation behaviours of the different disciplines. But it suffers from instability if you look at a small set of publications or at publications in fields where you don’t expect many citations [2]: the denominator can become very small, leading to rocket high ratios. This is likely what happened with the Alexandria University. According to this indicator, this Alexandria ranks 4th in the world, surpassed only by Caltech, MIT and Princeton. This is an unexpected result for anyone who knows the world research landscape [3].

Third, it is well documented that the act of measuring triggers the act of manipulating the measure. And this is made easy when the data are provided by the university themselves, as for the THE or QS rankings. One can only be suspicious when reading the cases emphasized by Bookstein and colleagues. “For whatever reason, the quantity THES assigned to the University of Copenhagen staff-student ratio went from 51 (the sample median) in 2007 to 100 (a score attained by only 12 other schools in the top 200) […] Without this boost, Copenhagen’s […] ranking would have been 94 instead of 51. Another school with a 100 student-staff rating in 2009, Ecole Normale Supérieure, Paris, rose from the value of 68 just a year earlier, […] thus earning a ranking of 28 instead of 48.”

Pictures of a landscape are taken from a given point of view

But let’s suppose that the rankers can improve their indicators to obtain perfectly focused images. Let’s imagine that we have clean, robust and hardly manipulable data to rely on. Would the rankings give a neutral picture of the academic landscape? Certainly not. There is no such thing as “neutrality” in any social construct.

Some rankings are built with a precise output in mind. The most laughable example of this was Mines Paris Tech’s ranking, placing itself and four other French “grandes écoles” in the top 20. This is probably the worst flaw of any ranking. But other types of biases are always present, even if less visible.

Most rankings are built with a precise question in mind. Let’s look at the evaluation of the impact of research. Are you interested in finding the key players, in which case the volume of citations is one way to go? Or are you interested in finding the most efficient institutions, in which case you would normalize the citations to some input (number of articles or number of researchers or budget)? Different questions need different indicators, hence different rankings. This is the approach followed by Leiden which publishes several rankings at a time. However this is not the sexiest and media-friendly approach.

Finally, all rankings are built with a model of what a good university is in mind. “The basic problem is that there is no definition of the ideal university”, a point made forcefully today by University College London’s Vice-Chancellor. Often, the Harvard model is the implicit model. In this case, getting Harvard on top is a way to check for “mistakes” in the design of the methodology. But the missions of the university are many. One usually talks about the production (research) and the dissemination (teaching) of knowledge, together with a “third mission” towards society that can in turn have many different meanings, from the creation of spin-offs to the reduction of social inequities. For these different missions, different indicators are to be used. The salary of fresh graduates is probably a good indicator to judge MBAs and certainly a bad one for liberal art colleges.

To pursue the metaphor with photography, every single snapshot is taken from a given point of view and with a given aim. Point-of-views and aims can be visible as it is the case in artistic photography. They can also pretend to neutrality, as in photojournalism. But this neutrality is wishful thinking. The same applies for rankings.

Useful pictures

Rankings are nevertheless useful pictures. Insiders who have a comprehensive knowledge of the global academic landscape understandably laugh at rankings’ flaws. However the increase in the number of rankings and in their use tells us that they fill a need. Rankings can be viewed as the dragon of New Public Management and accountability assaulting the ivory tower of disinterested knowledge. They certainly participate to a global shift in the contract between society and universities. But I can hardly believe that the Times would spend thousands if not millions for such a purpose.

What then is the social use of rankings? I think they are the most accessible vision of the academic landscape for millions of “outsiders”. The CSIC ranks around 20,000 (yes twenty thousand!) higher education institutions. Who can expect everyone to be aware of their qualities?  Think of young students, employers, politicians or academics from not-so-well connected universities. Is everyone in the Midwest able to evaluate the quality of research at a school strangely named Eidgenössische Technische Hochschule Zürich?

Even to insiders, rankings tell us something. Thanks to improvements in the picture’s quality and to the multiplication of point-of-views, rankings form an image that is not uninteresting. If a university is regularly in the top 20, this is something significant. You can expect to find there one of the best research and teaching environment. If it is regularly in the top 300, this is also significant. You can expect to find one of the few universities where the “global brain market” takes place. If a country – like China – increases its share of good universities over time, this is significant and that a long-term ‘improvement’ (at least in the direction of what is being ranked as important) of its higher education system is under way.

Of course, any important decision concerning where to study, where to work or which project to embark on must be taken with more criteria than rankings. As one would never go for mountain climbing based solely on blurry snapshots of the mountain range, one should not use rankings as a unique source of information about universities.

Pablo Achard


Notes

[1] See The Great Brain Race. How Global Universities are Reshaping the World, Ben Wildavsky, Princeton Press 2010; and more specifically its chapter 4 “College rankings go global”.

[2] The Leiden researchers have recently decided to adopt a more robust indicator for their studies http://arxiv.org/abs/1003.2167 But whatever the indicator used, the problem will remain for small statistical samples.

[3] See recent discussions on the University Ranking Watch blog for more details on this issue.



CHERPA-network based in Europe wins tender to develop alternative global ranking of universities

rankings 4

Finally the decision on who has won the European Commission’s million euro tender – to develop and test a  global ranking of universities – has been announced.

The successful bid – the CHERPA network (or the Consortium for Higher Education and Research Performance Assessment), is charged with developing a ranking system to overcome what is regarded by the European Commission as the limitations of the Shanghai Jiao Tong and the QS-Times Higher Education schemes. The  final product is to be launched in 2011.

CHERPA is comprised of a consortium of leading institutions in the field within Europe; all have been developing and offering rather different approaches to ranking over the past few years (see our earlier stories here, here and  here for some of the potential contenders):

Will this new European Commission driven initiative set the proverbial European cat amongst the Transatlantic alliance pigeons?  rankings 1

As we have noted in earlier commentary on university rankings, the different approaches tip the rankings playing field in the direction of different interests. Much to the chagrin of the continental Europeans, the high status US universities do well on the Shanghai Jiao Tong University Ranking, whilst Britain’s QS-Times Higher Education tends to see UK universities feature more prominently.

CHERPA will develop a design that follows the so called ‘Berlin Principles on the ranking of higher education institutions‘. These principles stress the need to take into account the linguistic, cultural and historical contexts of the educational systems into account [this fact is something of an irony for those watchers following UK higher education developments last week following a Cabinet reshuffle – where reference to ‘universities’ in the departmental name was dropped.  The two year old Department for Innovation, Universities and Skills has now been abandoned in favor of a mega-Department for Business, Innovation and Skills! (read more here)].

According to one of the Consortium members website –  CHE:

The basic approach underlying the project is to compare only institutions which are similar and comparable in terms of their missions and structures. Therefore the project is closely linked to the idea of a European classification (“mapping”) of higher education institutions developed by CHEPS. The feasibility study will include focused rankings on particular aspects of higher education at the institutional level (e.g., internationalization and regional engagement) on the one hand, and two field-based rankings for business and engineering programmes on the other hand.

The field-based rankings will each focus on a particular type of institution and will develop and test a set of indicators appropriate to these institutions. The rankings will be multi-dimensional and will – like the CHE ranking – use a grouping approach rather than simplistic league tables. In contrast to existing global rankings, the design will compare not only the research performance of institutions but will include teaching & learning as well as other aspects of university performance.

The different rankings will be targeted at different stakeholders: They will support decision-making in universities and especially better informed study decisions by students. Rankings that create transparency for prospective students should promote access to higher education.

The University World News, in their report out today on the announcement, notes:

Testing will take place next year and must include a representative sample of at least 150 institutions with different missions in and outside Europe. At least six institutions should be drawn from the six large EU member states, one to three from the other 21, plus 25 institutions in North America, 25 in Asia and three in Australia.

There are multiple logics and politics at play here. On the one hand, a European ranking system may well give the European Commission more HE  governance capacity across Europe, strengthening its steering over national systems in areas like ‘internationalization’ and ‘regional engagement’ – two key areas that have been identified for work to be undertaken by CHERPA.

On the other hand, this new European ranking  system — when realized — might also appeal to countries in Latin America, Africa and Asia who currently do not feature in any significant way in the two dominant systems. Like the Bologna Process, the CHERPA ranking system might well find itself generating ‘echoes’ around the globe.

Or, will regions around the world prefer to develop and promote their own niche ranking systems, elements of which were evident in the QS.com Asia ranking that was recently launched.  Whatever the outcome, as we have observed before, there is a thickening industry with profits to be had on this aspect of the emerging global higher education landscape.

Susan Robertson

CRELL: critiquing global university rankings and their methodologies

This guest entry has been kindly prepared for us by Beatrice d’Hombres and Michaela Saisana of the EU-funded Centre for Research on Lifelong Learning (CRELL) and Joint Research Centre. This entry is part of a series on the processes and politics of global university rankings (see herehere, here and here).

beatriceSince 2006, Beatrice d’Hombres has been working in the Unit of Econometrics and Statistics of the Joint Research Centre of  the European Commission. She is part of the Centre for Research on Lifelong Learning. Beatrice is an economist who completed a PhD at the University of Auvergne (France). She has a particular expertise in education economics and applied econometrics.

michaela

Michaela Saisana works for the Joint Research Centre (JRC) of the European Commission at the Unit of Econometrics and Applied Statistics. She has a PhD in Chemical Engineering and in 2004 she won the European Commission – JRC Young Scientist Prize in Statistics and Econometrics for her contribution on the robustness assessment of composite indicators and her work on sensitivity analysis.

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The expansion of the access to higher education, the growing mobility of students, the need for economic rationale behind the allocation of public funds, together with the demand for higher accountability and transparency, have all contributed to raise the need for comparing university quality across countries.

The recognition of this fact has also been greatly stirred  by the publication, since 2003, of the ‘Shanghai Jiao Tong University Academic Ranking of World Universities’ (henceforth SJTU), which measures university research performance across the world. The SJTU ranking tends to reinforce the evidence that the US is well ahead of Europe in terms of cutting-edge university research.

Its rival is the ranking computed annually, since 2004, by the Times Higher Education Supplement (henceforth THES). Both these rankings are now receiving worldwide attention and constitute an occasion for national governments to comment on the relative performances of their national universities.

In France, for example, the publication of the SJTU is always associated with a surge of articles in newspapers which either bemoan  the poor performance of French universities or denounce the inadequacy of the SJTU ranking to properly assess the attractiveness of the fragmented French higher education institutions landscape (see Les Echos, 7 August 2008).

Whether the intention of the rankers or not, university rankings have followed a destiny of their own and are used by national policy makers to stimulate debates about national university systems and ultimately can lead to specific education policies orientations.

At the same time, however, these rankings are subject to a plethora of criticism. They outline that the chosen indicators are mainly based on research performance with no attempt to take into account the others missions of universities (in particular teaching), and are biased towards large, English-speaking and hard-science institutions. Whilst the limitations of the indicators underlying the THES or the SJTU rankings have been extensively discussed in the relevant literature, there has been no attempt so far to examine in depth the volatility of the university ranks to the methodological assumptions made in compiling the rankings.

crell3The purpose of the JRC/Centre for Research on Lifelong Learning (CRELL) report is to fill in this gap by quantifying how much university rankings depend on the methodology and to reveal whether the Shanghai ranking serves the purposes it is used for, and if its immediate European alternative, the British THES, can do better.

To that end, we carry out a thorough uncertainty and sensitivity analysis of the 2007 SJTU and THES rankings under a plurality of scenarios in which we activate simultaneously different sources of uncertainty. The sources cover a wide spectrum of methodological assumptions (set of selected indicators, weighting scheme, and aggregation method).

This implies that we deviate from the classic approach – also taken in the two university ranking systems – to build a composite indicator by a simple weighted summation of indicators. Subsequently, a frequency matrix of the university ranks is calculated across the different simulations. Such a multi-modeling approach and the presentation of the frequency matrix, rather than the single ranks, allows one to deal with the criticism, often made to league tables and rankings systems ,that ranks are presented as if they were calculated under conditions of certainty while this is rarely the case.  crell

The main findings of the report are the following. Both rankings are only robust in the identification of the top 15 performers on either side of the Atlantic, but unreliable on the exact ordering of all other institutes. And, even when combining all twelve indicators in a single framework, the space of the inference is too wide for about 50 universities of the 88 universities we studied and thus no meaningful rank can be estimated for those universities. Finally, the JRC report suggests that THES and SJTU rankings should be improved along two main directions:

  • first, the compilation of university rankings should always be accompanied by a robustness analysis based on a multi-modeling approach. We believe that this could constitute an additional recommendation to be added to the already 16 existing Berlin Principles;
  • second, it is necessary to revisit the set of indicators, so as to enrich it with other dimensions that are crucial to assessing university performance and which are currently missing.

Beatrice d’Hombres  and Michaela Saisana

Ranking – in a different (CHE) way?

uwe_brandenburg_2006-005nl GlobalHigherEd has been profiling a series of entries on university rankings as an emerging industry and technology of governance. This entry has been kindly prepared for us by Uwe Brandenburg. Since 2006 Uwe has been project manager at the Centre for Higher Education Development (CHE) and CHE Consult, a think tank and consultancy focusing on higher education reform.  Uwe has an MA in Islamic Studies, Politics and Spanish from the University of Münster (Germany),  and an MscEcon in Politics from the University of Wales at Swansea.

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Talking about rankings usually means talking about league tables. Values are calculated based on weighed indicators which are then turned into a figure, added and formed into an overall value, often with the index of 100 for the best institution counting down. Moreover, in many cases entire universities are compared and the scope of indicators is somewhat limited. We at the Centre for Higher Education Development (CHE) are highly sceptical about this approach. For more than 10 years we have been running our own ranking system which is so different to the point that  some experts  have argued that it might not be a ranking at all which is actually not true. Just because the Toyota Prius is using a very different technology to produce energy does not exclude it from the species of automobiles. What are then the differences?

uwe1

Firstly, we do not believe in the ranking of entire HEIs. This is mainly due to the fact that such a ranking necessarily blurs the differences within an institution. For us, the target group has to be the starting point of any ranking exercise. Thus, one can fairly argue that it does not help a student looking for a physics department to learn that university A is average when in fact the physics department is outstanding, the sociology appalling and the rest is mediocre. It is the old problem of the man with his head in the fire and the feet in the freezer. A doctor would diagnose that the man is in a serious condition while a statistician might claim that over all he is doing fine.

So instead we always rank on the subject level. And given the results of the first ExcellenceRanking which focused on natural sciences and mathematics in European universities with a clear target group of prospective Master and PhD students, we think that this proves the point;  only 4 institutions excelled in all four subjects; another four in three; while most excelled in only one subject. And this was in a quite closely related field.

uwe2

Secondly, we do not create values by weighing indicators and then calculating an overall value. Why is that? The main reason is that any weight is necessarily arbitrary, or in other words political. The person weighing decides which weight to give. By doing so, you pre-decide the outcome of any ranking. You make it even worse when you then add the different values together and create one overall value because this blurs differences between individual indicators.

Say a discipline is publishing a lot but nobody reads it. If you give publications a weight of 2 and citations a weight of one, it will look like the department is very strong. If you do it the other way, it will look pretty weak. If you add the values you make it even worse because you blur the difference between both performances. And those two indicators are even rather closely related. If you summarize results from research indicators with reputation indicators, you make things entirely irrelevant.

Instead, we let the indicator results stand for their own and let the user decide what is important for his or her personal decision-making process. e.g., in the classical ranking we allow the users to create “my ranking” so they can choose the indicators they want to look at and in which order.

Thirdly, we strongly object to the idea of league tables. If the values which create the table are technically arbitrary (because of the weighing and the accumulation), the league table positions create the even worse illusion of distinctive and decisive differences between places. They then bring alive the impression of an existing difference in quality (no time or space here to argue the tricky issue of what quality might be) which is measurable to the percentage point. In other words, that there is a qualitative and objectively recognizable measurable difference between place number 12 and 15. Which is normally not the case.

Moreover, small mathematical differences can create huge differences in league table positions. Take the THES QS: even in the subject cluster SocSci you find a mere difference of 4.3 points on a 100 point scale between league rank 33 and 43. In the overall university rankings, it is a meager 6.7 points difference between rank 21 and 41 going down to a slim 15.3 points difference between rank 100 and 200. That is to say, the league table positions of HEIs might differ by much less than a single point or less than 1% (of an arbitrarily set figure). Thus, it tells us much less than the league position suggests.

Our approach, therefore, is to create groups (top, middle, bottom) which are referring to the performance of each HEI relative to the other HEIs.

uwe3

This means our rankings are not as easily read as the others. However,  we strongly believe in the cleverness of the users. Moreover, we try to communicate at every possible level that every ranking (and therefore also ours) is based on indicators which are chosen by the ranking institution. Consequently, the results of the respective ranking can tell you something about how an HEI performs in the framework of what the ranker thinks interesting, necessary, relevant, etc. Rankings therefore NEVER tell you who is the best but maybe (depending on the methodology) who is performing best (or in our cases better than average) in aspects considered relevant by the ranker.

A small, but highly relevant aspect might be added here. Rankings (in the HE system as well as in other areas of life) might suggest that a result in an indicator proves that an institution is performing well in the area measured by the indicator. Well it does not. All an indicator does is hint at the fact that given the data is robust and relevant, the results give some idea of how close the gap is between the performance of the institution and the best possible result (if such a benchmark exists). The important word is “hint” because “indicare” – from which the word “indicator” derives – means exactly this: a hint, not a proof. And in the case of many quantitative indicators, the “best” or “better” is again a political decision if the indicator stands alone (e.g. are more international students better? Are more exchange agreements better?).

This is why we argue that rankings have a useful function in terms of creating transparency if they are properly used, i.e. if the users are aware of the limitations, the purpose, the target groups and the agenda of the ranking organization and if the ranking is understood as one instrument among various others fit to make whatever decision related to an HEI (study, cooperation, funding, etc.).

Finally, modesty is maybe what a ranker should have in abundance. Running the excellence ranking in three different phases (initial in 2007, second phase with new subjects right now, repetition of natural sciences just starting) I am aware of certainly one thing. However strongly we aim at being sound and coherent, and however intensely we re-evaluate our efforts, there is always the chance of missing something; of not picking an excellent institution. For the world of ranking, Einstein’s conclusion holds a lot of truth:

Not everything that can be counted, counts and not everything that counts can be counted.

For further aspects see:
http://www.che-ranking.de/cms/?getObject=47&getLang=de
http://www.che-ranking.de/cms/?getObject=44&getLang=de
Federkeil, Gero, Rankings and Quality Assurance in Higher Education, in: Higher Education in Europe, 33, (2008), S. 209-218
Federkeil, Gero, Ranking Higher Education Institutions – A European Perspective., in: Evaluation in Higher Education, 2, (2008), S. 35 – 52
Other researchers specialising in this (and often referring to our method) are e.g. Alex Usher, Marijk van der Wende or Simon Marginson.

Uwe Brandenburg

University institutional performance: HEFCE, UK universities and the media

deem11 This entry has been kindly prepared by Rosemary Deem, Professor of Sociology of Education, University of Bristol, UK. Rosemary’s expertise and research interests are in the area of higher education, managerialism, governance, globalization, and organizational cultures (student and staff).

Prior to her appointment at Bristol, Rosemary was Dean of Social Sciences at the University of Lancaster. Rosemary has served as a member of ESRC Grants Board 1999-2003, and Panel Member of the Education Research Assessment Exercise 1996, 2001, 2008.

GlobalHigherEd invited Rosemary to respond to one of the themes (understanding institutional performance) in the UK’s Higher Education Debate aired by the Department for Innovation, Universities and Skills  (DIUS) over 2008.

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Institutional performance of universities and their academic staff and students is a very topical issue in many countries, for potential students and their families and sponsors, governments and businesses. As well as numerous national rankings, two annual international league tables in particular, the Shanghai Jiao Tong,  developed for the Chinese government to benchmark its own universities and the commercial Times Higher top international universities listings, are the focus of much government and institutional  interest,  as  universities vie with each other to appear in the top rankings of so-called world-class universities, even though the quest for world-class status has negative as well as positive consequences for national higher education systems (see here).

International league tables often build on metrics that are themselves international (e.g publication citation indexes) or use proxies for quality such as the proportions of international students or staff/student ratios, whereas national league tables tend to develop their own criteria, as the UK Research Assessment Exercise (RAE) has done and as its planned replacement, the Research Excellence Framework is intended to do. deem2

In March 2008, John Denham, Secretary of State for (the Department of) Innovation, Universities and Skills (or DIUS) commissioned the Higher Education Funding Council for England (HEFCE) to give some advice on measuring institutional performance. Other themes  on which the Minister commissioned advice, and which will be reviewed on GlobalHigherEd over the next few months, were On-Line Higher Education Learning, Intellectual Property and research benefits; Demographic challenge facing higher education; Research Careers; Teaching and the Student Experience; Part-time studies and Higher Education; Academia and public policy making; and International issues in Higher Education.

Denham identified five policy areas for the report on ‘measuring institutional performance’ that is the concern of this entry, namely: research, enabling business to innovate and engagement in knowledge transfer activity, high quality teaching, improving work force skills and widening participation.

This list could be seen as a predictable one since it relates to current UK government policies on universities and strongly emphasizes the role of higher education in producing employable graduates and relating its research and teaching to business and the ‘knowledge economy’.

Additionally, HEFCE already has quality and success measures and also surveys, such as the National Student Survey of all final year undergraduates for everything except workforce development.  The five areas are a powerful indicator of what government thinks the purposes of universities are, which is part of a much wider debate (see here and here).

On the other hand, the list is interesting for what it leaves out – higher education institutions and their local communities (which is not just about servicing business), or universities’ provision for supporting the learning of their own staff (since they are major employers in their localities) or the relationship between teaching and research

The report makes clear that HEFCE wants to “add value whilst minimising the unintended consequences”, (p. 2), would like to introduce a code of practice for the use of performance measures and does not want to introduce more official league tables in the five policy areas.  There is also a discussion about why performance is measured: it may be for funding purposes, to evaluate new policies, inform universities so they can make decisions about their strategic direction, improve performance or to inform the operation of markets. The disadvantages of performance measures, the tendency for some measures to be proxies (which will be a significant issue if plans to use metrics and bibliometrics  as proxies for research quality in  the new Research Excellence Framework are adopted) and the tendency to measure activity and volume but not impact are also considered in the report.

However, what is not emphasized enough are that the consequences once a performance measure is made public are not within anyone’s control.  Both the internet and the media ensure that this is a significant challenge.  It is no good saying that “Newspaper league tables do not provide an accurate picture of the higher education sector” (p 7) but then taking action which invalidates this point.

Thus in the RAE 2008, detailed cross-institutional results were made available by HEFCE to the media before they are available to the universities themselves last week, just so that newspaper league tables can be constructed.

Now isn’t this an example of the tail wagging the dog, and being helped by HEFCE to do so? Furthermore, market and policy incentives may conflict with each other.  If an institution’s student market is led by middle-class students with excellent exam grades, then urging them to engage in widening participation can fall on deaf ears.   Also, whilst UK universities are still in receipt of significant public funding, many also generate substantial private funding too and some institutional heads are increasingly irritated by tight government controls over what they do and how they do it.

Two other significant issues are considered in the report. One is value-added measures, which HEFCE feels it is not yet ready to pronounce on.  Constructing these for schools has been controversial and the question of over what period should value added measures be collected is problematic, since HEFCE measures would look only at what is added to recent graduates, not what happens to them over the life course as a whole.

The other issue is about whether understanding and measuring different dimensions of institutional performance could help to support diversity in the sector.  It is not clear how this would work for the following three reasons:

  1. Institutions will tend to do what they think is valued and has money attached, so if the quality of research is more highly valued and better funded than quality of teaching, then every institution will want to do research.
  2. University missions and ‘brands’ are driven by a whole multitude of factors and importantly by articulating the values and visions of staff and students and possibly very little by ‘performance’ measures; they are often appealing to an international as well as a national audience and perfect markets with detailed reliable consumer knowledge do not exist in higher education.
  3. As the HEFCE report points out, there is a complex relationship between research, knowledge transfer, teaching, CPD and workforce development in terms of economic impact (and surely social and cultural impact too?). Given that this is the case, it is not evident that encouraging HEIs to focus on only one or two policy areas would be helpful.

There is a suggestion in the report that web-based spidergrams based on an seemingly agreed (set of performance indicators might be developed which would allow users to drill down into more detail if they wished). Whilst this might well be useful, it will not replace or address the media’s current dominance in compiling league tables based on a whole variety of official and unofficial performance measures and proxies. Nor will it really address the ways in which the “high value of the UK higher education ‘brand’ nationally and internationally” is sustained.

Internationally, the web and word of mouth are more critical than what now look like rather old-fashioned performance measures and indicators.  In addition, the economic downturn and the state of the UK’s economy and sterling are likely to be far more influential in this than anything HEFCE does about institutional performance.

The report, whilst making some important points, is essentially introspective, fails to sufficiently grasp how some of its own measures and activities are distorted by the media, does not really engage with the kinds of new technologies students and potential students are now using (mobile devices, blogs, wikis, social networking sites, etc) and focuses far more on national understandings of institutional performance than on how to improve the global impact and understanding of UK higher education.

Rosemary Deem

‘University Systems Ranking (USR)’: an alternative ranking framework from EU think-tank

One of the hottest issues out there still continuing to attract world-wide attention is university rankings. The two highest profile ranking systems, of course, are the Shanghai Jiao Tong and the Times Higher rankings, both of which focus on what might constitute a world class university, and on the basis of that, who is ranked where. Rankings are also part of an emerging niche industry. All this of course generates a high level of institutional, national, and indeed supranational (if we count Europe in this) angst about who’s up, who’s down, and who’s managed to secure a holding position. And whilst everyone points to the flaws in these ranking systems, these two systems have nevertheless managed to capture the attention and imagination of the sector as a whole. In an earlier blog enty this year GlobalHigherEd mused over why European-level actors had not managed to produce an alternate system of university rankings which might counter the hegemony of the powerful Shanghai Jiao Tong (whose ranking system privileges the US universities) on the one hand, and act as a policy lever that Europe could pull to direct the emerging European higher education system, on the other.

Yesterday The Lisbon Council, an EU think-tank (see our entry here for a profile of this influential think-tank) released which might be considered a challenge to the Shanghai Jiao Tong and Times Higher ranking schemes – a University Systems Ranking (USR) in their report University Systems Ranking Citizens and Society in the Age of Knowledge. The difference between this ranking system and the Shanghai and Times is that it focuses on country-level data and change, and not  individual institutions.

The USR has been developed by the Human Capital Center at The Lisbon Council, Brussels (produced with support by the European Commission’s Education, Audiovisual and Culture Executive Agency) with advice from the OECD.

The report begins with the questions: why do we have university systems? What are these systems intended to do? And what do we expect them to deliver – to society, to individuals and to the world at large? The underlying message in the USR is that “a university system has a much broader mandate than producing hordes of Nobel laureates or cabals of tenure – and patent bearing professors” (p. 6).

So how is the USR different, and what might we make of this difference for the development of universities in the future? The USR is based on six criteria:

  1. Inclusiveness – number of students enrolled in the tertiary sector relative to the size of its population
  2. Access – ability of a country’s tertiary system to accept and help advance students with a low level of scholastic aptitude
  3. Effectiveness – ability of country’s education system to produce graduates with skills relevant to the country’s labour market (wage premia is the measure)
  4. Attractiveness – ability of a country’s system to attract a diverse range of foreign students (using the top 10 source countries)
  5. Age range – ability of a country’s tertiary system to function as a lifelong learning institution (share of 30-39 year olds enrolled)
  6. Responsiveness – ability of the system to reform and change – measured by speed and effectiveness with which Bologna Declaration accepted (15 of 17 countries surveyed have accepted the Bologna criteria.

These are then applied to 17 OECD countries (all but 2 signatories of the Bologna Process). A composite ranging is produced, as well as rankings on each of the criteria. So what were the outcomes for the higher education systems of these 17 countries?

Drawing upon all 6 criteria, a composite figure of USR is then produced. Australia is ranked 1st; the UK 2nd and Denmark 3rd, whilst Austria and Spain are ranked 16th and 17th respectively (see Table1 below). We can also see rankings based on specific criteria (Table 2 below).

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There is much to be said for this intervention by The Lisbon Council – not the least being that it opens up debates about the role and purposes of universities. Over the past few months there have been numerous heated public interventions about this matter – from whether universities should be little more than giant patenting offices to whether they should be managers of social justice systems.

And though there are evident shortcomings (such as the lack of clarity about what might count as a university; the view that a university-based education is the most suitable form of education to produce a knowledge-based economy and society; what is the equity/access etc range within any one country, and so on), the USR does, at least, place issues like ‘lifelong learning’, ‘access’ and ‘inclusion’ on the reform agenda for universities across Europe. It also sends a message that it has a set of values that currently are not reflected in the two key ranking systems that it would like to advance.

However, the big question now is whether universities will see value in this kind of ranking system for its wider systemic, as opposed to institutional, possibilities, even if it is as a basis for discussing what are universities for and how might we produce more equitable knowledge societies and economies.

Susan Robertson and Roger Dale

Strategic actors in the Eurolandscape: meet ‘The Lisbon Council’

Earlier this week we posted an entry on a new European Commission ‘Communication’ – a Strategic Framework for International Science and Technology Cooperation.

In working up this entry it became clear to us that some of the state-crafting language to describe different stages of the policy process in the construction of Europe needed decoding to enable the reader to assess the relative importance of particular initiatives. For example, what is a Communication? what is its status? who is it to? and so on. While this seems an obvious point to make–that the lexicon to describe aspects of the policy process is quite different around the globe–finding a web-link with an adequate explanation of this was quite a different matter.

So when today’s Policy Brief on University Systems Ranking from The Lisbon Council hit cyberspace (we’ll profile the briefing tomorrow), it seemed that here, too, was another instance when names and terms could be rather confusing. The tight linking of the idea of ‘Lisbon’ to ‘Council’ tends to suggest that this organisation is one of a number of European bodies that make up the official governing structure of Europe. However, this is not the case. thelisboncouncil

So, who are they, and how does The Lisbon Council fit into the Eurolandscape of policymaking? This is the first in a series of posts where we introduce key strategic actors involved in constituting and governing higher education within Europe and beyond.

The Lisbon Council–or more properly The Lisbon Council for Economic Competitiveness and Social Renewal–is an independent think-tank and policy network created in 2003 to advance the now famous Lisbon 2000 Agenda; of making Europe “…the most dynamic, globally competitive, knowledge-based economy in the world….”.

According to their website, The Lisbon Council, whose tag line ‘making Europe fit for the future’, is committed to

…defining and articulating a mature strategy for managing current and future challenges. Above all, we are seeking strategies based on inclusion, opportunity and sustainability that will make the benefits of modernisation available to all our citizens.

Our network – concerned citizens, top economists, public figures, NGO leaders, business strategists and leading-edge thinkers – lends its energy, brain power and dedication to solving the great economic and social challenges of our times. At the centre of our activities are solution-oriented seminars, thought-provoking publications, media appearances and public advocacy.

We can get a sense of the kind of strategic thinking The Lisbon Council advocate to realize a globally competitive Europe by also looking at its projects (including the Human Capital Center), publications, Founding Fathers Lecture Series, and u-Tube presence.

Four ‘founding fathers’ are identified for the Lecture Series as representing Europe’s innovative visionary past – The Robert Schuman Lecture (French politician and regarded as founder of the EU), The Ludwig Erhard Lecture (German politician who presided over the post War German recovery), The Jean Jacque Rousseau Lecture (French philosopher of enlightenment thinking/socialism), and The Guglielmo Marconi Lecture (Italian inventor).

This year the Guglielmo Marconi Lecture which we feature below was delivered by Charlie Leadbetter – well-known for his work with UK-based think-tank DEMOS. Leadbetter’s lecture engages with the Commission’s 2009 theme, creativity and innovation.

Now the important thing to point out is that The Lisbon Council think-tank agenda articulates closely with the ‘new Lisbon Agenda’, launched in 2005; to reorient and reinvigorate Lisbon 2000 agenda. It is at this point that we see the European Commission’s engagement with globalization as an outward looking strategy, the move toward supply-side economics, the prioritization of human capital strategies, greater questioning of the Social Europe policies, and a commitment to press ahead with the reform of Member State’s higher education systems to make a European higher education system. These commitments have been repeatedly reinforced by European Commission President, Jose Manuel Barroso, as we see in his speech to The Lisbon Council earlier this year.

In following European policymaking in higher education, it is therefore important to look closely at organizations like The Lisbon Council, and the kind of futures thinking/policy shaping work they are engaged in as part of a wider governance of European higher education.

Susan Robertson