Category Archives: Evidence Based Policymaking (EBPM)

The role of ‘standards for evidence’ in ‘evidence informed policymaking’

Key points:

  • Maintaining strict adherence to evidence standards is like tying your hands behind your back
  • There is an inescapable trade-off between maintaining scientific distance for integrity and using evidence pragmatically to ensure its impact
  • So, we should not divorce discussions of evidence standards from evidence use

I once spoke with a policymaker from a health unit who described the unintended consequences of their self-imposed evidence standards. They held themselves to such a high standard of evidence that very few studies met their requirements. So, they often had a very strong sense of ‘what works’ but, by their own standards, could not express much confidence in their evidence base.

As a result, their policy recommendations were tentative and equivocal, and directed at a policymaker audience looking for strong and unequivocal support for (often controversial) policy solutions before putting their weight behind them. Even if evidence advocates had (what they thought to be) the best available evidence, they would not make enough of it. Instead, they value their reputations, based on their scientific integrity, producing the best evidence, and not making inflated claims about the policy implications. Let’s wait for more evidence, just to be sure. Let’s not use suboptimal evidence, even if it’s all we have.

Your competitors do not tie their own hands behind their backs in this way

I say this because I have attended many workshops, in the last year, in which we discuss principles for science advice and guidelines or standards for the evidence part of ‘evidence-based’ or ‘evidence-informed’ policymaking.

During such discussions, it is common for people to articulate the equivalent of crossing their fingers and hoping that they can produce rules for the highest evidence standards without the unintended consequences. If you are a fan of Field of Dreams, we can modify the slogan: if you build it (the evidence base), they will come (policymakers will use it sincerely, and we’ll all be happy).*

If you build it

Or, if you are more of a fan of Roger Pielke Jr, you can build the evidence base while remaining an ‘honest broker’, providing evidence without advocacy. Ideally, we’d want to maintain scientific integrity and have a major impact on policy (akin to me wanting to eat chips all day and lose weight) but, in the real world, may settle for the former.

If so, perhaps a more realistic way of phrasing the question would be: what rules for evidence should a small group of often-not-very-influential people agree among themselves? In doing so, we recognise that very few policy actors will follow these rules.

What happens when we don’t divorce a discussion of (a) standards of evidence from (b) the use of evidence for policy impact?

The latter depends on far more than evidence, such as the usual factors we discuss in these workshops, including trust in the messenger, and providing a ‘timely’ message.  Perhaps a high-standard evidence base helps the former (providing a Kite Mark for evidence) and one aspect of the latter (the evidence is there when you demand it). However, policy studies-inspired messages go much further, such as in Three habits of successful entrepreneurs which describes the strategies people use for impact:

  1. They tell simple and persuasive stories to generate demand for their evidence
  2. They have a technically and politically feasible (evidence-based) policy solution ready to chase policy problems
  3. They adapt their strategies to the scale of their policy environments, akin to surfers in large and competitive political systems, but more like Poseidon in less competitive ‘policy communities’ or subnational venues.

In such cases, the availability of evidence becomes secondary to:

  1. the way you use evidence to frame a policy problem, which is often more about the way you connect information to policymaker demand than the quality of the evidence.

Table 1

  1. your skills in being able to spot the right time to present evidence-based solutions, which is not about a mythical policy cycle, and not really about the availability of evidence or speed of delivery.

Table 2

So, when we talk about any guidance for evidence advocates, such as pursued by INGSA, I think you will always find these tensions between evidence quality and scientific integrity on the one hand, and ‘timeliness’ or impact on the other. You don’t address the need for timely evidence simply by making sure that the evidence exists in a database.

I discuss these tensions further on the INGSA website: Principles of science advice to government: key problems and feasible solutions



*Perhaps you’d like to point out that when Ray Kinsella built it (the baseball field in his cornfield), he did come (the ghost of Shoeless Joe Jackson appeared to play baseball there). I’m sorry to have to tell you this, but actually that was Ray Liotta pretending to be Jackson.


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The role of evidence in UK policymaking after Brexit

We are launching a series of papers on evidence and policy in Palgrave Communications. Of course, we used Brexit as a hook, to tap into current attention to instability and major policy change. However, many of the issues we discuss are timeless and about surprising levels of stability and continuity in policy processes, despite periods of upheaval.

In my day, academics would build their careers on being annoying, and sometimes usefully annoying. This would involve developing counterintuitive insights, identifying gaps in analysis, and challenging a ‘common wisdom’ in political studies. Although not exactly common wisdom, the idea of ‘post truth’ politics, a reduction in respect for ‘experts’, and a belief that Brexit is a policymaking game-changer, are great candidates for some annoyingly contrary analysis.

In policy studies, many of us argue that things like elections, changes of government, and even constitutional changes are far less important than commonly portrayed. In media and social media accounts, we find hyperbole about the destabilising and changing impact of the latest events. In policy studies, we often stress stability and continuity.  My favourite old example regards the debates from the 1970s about electoral reform. While some were arguing that first-past-the-post was a disastrous electoral system since it produces swings of government, instability, and incoherent policy change, Richardson and Jordan would point out surprisingly high levels of stability and continuity.

Finer and Jordan Cairney

In part, this is because the state is huge, policymakers can only pay attention to a tiny part of it, and therefore most of it is processed as a low level of government, out of the public spotlight.

UPP p106

These insights still have profound relevance today, for two key reasons.

  1. The role of experts is more important than you think

This larger process provides far more opportunities for experts than we’d associate with ‘tip of the iceberg’ politics.

Some issues are salient. They command the interest of elected politicians, and those politicians often have firm beliefs that limit the ‘impact’ of any evidence that does not support their beliefs.

However, most issues are not salient. They command minimal interest, they are processed by other policymakers, and those policymakers are looking for information and advice from reliable experts.

Indeed, a lot of policy studies highlight the privileged status of certain experts, at the expense of most members of the public (which is a useful corrective to the story, associated with Brexit, that the public is too emotionally driven, too sceptical of experts, and too much in charge of the future of constitutional change).

So, Brexit will change the role of experts, but expect that change to relate to the venue in which they engage, and the networks of which they are a part, more than the practices of policymakers. Much policymaking is akin to an open door to government for people with useful information and a reputation for being reliable in their dealings with policymakers.

  1. Provide less evidence for more impact

If the problem is that policymakers can only pay attention to a tiny proportion of their responsibilities, the solution is not to bombard them with a huge amount of evidence. Instead, assume that they seek ways to ignore almost all information while still managing to make choices. The trick may be to provide just enough information to prompt demand for more, not oversupply evidence on the assumption that you have only one chance for influence.

With Richard Kwiatkoswki, I draw on policy and psychology studies to help us understand how to supply evidence to anyone using ‘rational’ and ‘irrational’ ways to limit their attention, information processing, and thought before making decisions.

Our working assumption is that policymakers need to gather information quickly and effectively, so they develop heuristics to allow them to make what they believe to be good choices. Their solutions often seem to be driven more by their emotions than a ‘rational’ analysis of the evidence, partly because we hold them to a standard that no human can reach. If so, and if they have high confidence in their heuristics, they will dismiss our criticism as biased and naïve. Under those circumstances, restating the need for ‘evidence-based policymaking’ is futile, and naively ‘speaking truth to power’ counterproductive.

Instead, try out these strategies:

  1. Develop ways to respond positively to ‘irrational’ policymaking

Instead of automatically bemoaning the irrationality of policymakers, let’s marvel at the heuristics they develop to make quick decisions despite uncertainty. Then, let’s think about how to respond pragmatically, to pursue the kinds of evidence informed policymaking that is realistic in a complex and constantly changing policymaking environment.

  1. Tailor framing strategies to policymaker cognition

The usual advice is to minimise the cognitive burden of your presentation, and use strategies tailored to the ways in which people pay attention to, and remember information.

The less usual advice includes:

  • If policymakers are combining cognitive and emotive processes, combine facts with emotional appeals.
  • If policymakers are making quick choices based on their values and simple moral judgements, tell simple stories with a hero and a clear moral.
  • If policymakers are reflecting a ‘group emotion’, based on their membership of a coalition with firmly-held beliefs, frame new evidence to be consistent with the ‘lens’ through which actors in those coalitions understand the world.
  1. Identify the right time to influence individuals and processes

Understand what it means to find the right time to exploit ‘windows of opportunity’.

‘Timing’ can refer to the right time to influence an individual, which involves how open they are to, say, new arguments and evidence.

Or, timing refers to a ‘window of opportunity’ when political conditions are aligned. I discuss the latter in a separate paper on effective ‘policy entrepreneurs’.

  1. Adapt to real-world organisations rather than waiting for an orderly process to appear

Politicians may appear confident of policy and with a grasp of facts and details, but are (a) often vulnerable and therefore defensive or closed to challenging information, and/ or (b) inadequate in organisational politics, or unable to change the rules of their organisations.

So, develop pragmatic strategies: form relationships in networks, coalitions, or organisations first, then supply challenging information second. To challenge without establishing trust may be counterproductive.

  1. Recognise that the biases we ascribe to policymakers are present in ourselves and our own groups.

Identifying only the biases in our competitors may help mask academic/ scientific examples of group-think, and it may be counterproductive to use euphemistic terms like ‘low information’ to describe actors whose views we do not respect. This is a particular problem for scholars if they assume that most people do not live up to their own imagined standards of high-information-led action (often described as a ‘deficit model’ of engagement).

It may be more effective to recognise that: (a) people’s beliefs are honestly held, and policymakers believe that their role is to serve a cause greater than themselves.; and, (b) a fundamental aspect of evolutionary psychology is that people need to get on with each other, so showing simple respect – or going further, to ‘mirror’ that person’s non-verbal signals – can be useful even if it looks facile.

This leaves open the ethical question of how far we should go to identify our biases, accept the need to work with people whose ways of thinking we do not share, and how far we should go to secure their trust without lying about one’s beliefs.

At the very least, we do not suggest these 5 strategies as a way to manipulate people for personal gain. They are better seen as ways to use psychology to communicate well. They are also likely to be as important to policy engagement regardless of Brexit. Venues may change quickly, but the ways in which people process information and make choices may not.


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Three habits of successful policy entrepreneurs

Policy entrepreneurs’ invest their time wisely for future reward, and possess key skills that help them adapt particularly well to their environments. They are the agents for policy change who possess the knowledge, power, tenacity, and luck to be able to exploit key opportunities. They draw on three strategies:

1. Don’t focus on bombarding policymakers with evidence.

Scientists focus on making more evidence to reduce uncertainty, but put people off with too much information. Entrepreneurs tell a good story, grab the audience’s interest, and the audience demands information.

Table 1

2. By the time people pay attention to a problem it’s too late to produce a solution.

So, you produce your solution then chase problems.

Table 2

3. When your environment changes, your strategy changes.

For example, in the US federal level, you’re in the sea, and you’re a surfer waiting for the big wave. In the smaller subnational level, on a low attention and low budget issue, you can be Poseidon moving the ‘streams’. In the US federal level, you need to ‘soften’ up solutions over a long time to generate support. In subnational or other countries, you have more opportunity to import and adapt ready-made solutions.

Table 3

It all adds up to one simple piece of advice – timing and luck matters when making a policy case – but policy entrepreneurs know how to influence timing and help create their own luck.

For the full paper, see: Cairney Practical Lessons Policy Entrepreneurs Revised 5 June 17

For more on ‘multiple streams’ see:

Paul Cairney and Michael Jones (2016) ‘Kingdon’s Multiple Streams Approach: What Is the Empirical Impact of this Universal Theory?’ Policy Studies Journal, 44, 1, 37-58 PDF (Annex to Cairney Jones 2016) (special issue of PSJ)

Paul Cairney and Nikos Zahariadis (2016) ‘Multiple streams analysis: A flexible metaphor presents an opportunity to operationalize agenda setting processes’ in Zahariadis, N. (eds) Handbook of Public Policy Agenda-Setting (Cheltenham: Edward Elgar) PDF see also


Filed under agenda setting, Evidence Based Policymaking (EBPM), Folksy wisdom, public policy, Storytelling

Writing for Impact: what you need to know, and 5 ways to know it

This is a post for my talk at the ‘Politheor: European Policy Network’ event Write For Impact: Training In Op-Ed Writing For Policy Advocacy. There are other speakers with more experience of, and advice on, ‘op-ed’ writing. My aim is to describe key aspects of politics and policymaking to help the audience learn why they should write op-eds in a particular way for particular audiences.

A key rule in writing is to ‘know your audience’, but it’s easier said than done if you seek many sympathetic audiences in many parts of a complex policy process. Two simple rules should help make this process somewhat clearer:

  1. Learn how policymakers simplify their world, and
  2. Learn how policy environments influence their attention and choices.

We can use the same broad concepts to help explain both processes, in which many policymakers and influencers interact across many levels and types of government to produce what we call ‘policy’:

  1. Policymaker psychology: tell an evidence-informed story

Policymakers receive too much information, and seek ways to ignore most of it while making decisions. To do so, they use ‘rational’ and ‘irrational’ means: selecting a limited number of regular sources of information, and relying on emotion, gut instinct, habit, and familiarity with information. In other words, your audience combines cognition and emotion to deal with information, and they can ignore information for long periods then quickly shift their attention towards it, even if that information has not really changed.

Consequently, an op-ed focusing solely ‘the facts’ can be relatively ineffective compared to an evidence-informed story, perhaps with a notional setting, plot, hero, and moral. Your aim shifts from providing more and more evidence to reduce uncertainty about a problem, to providing a persuasive reason to reduce ambiguity. Ambiguity relates to the fact that policymakers can understand a policy problem in many different ways – such as tobacco as an economic good, issue of civil liberties, or public health epidemic – but often pay exclusive attention to one.

So, your aim may be to influence the simple ways in which people understand the world, to influence their demand for more information. An emotional appeal can transform a factual case, but only if you know how people engage emotionally with information. Sometimes, the same story can succeed with one audience but fail with another.

  1. Institutions: learn the ‘rules of the game’

Institutions are the rules people use in policymaking, including the formal, written down, and well understood rules setting out who is responsible for certain issues, and the informal, unwritten, and unclear rules informing action. The rules used by policymakers can help define the nature of a policy problem, who is best placed to solve it, who should be consulted routinely, and who can safely be ignored. These rules can endure for long periods and become like habits, particularly if policymakers pay little attention to a problem or why they define it in a particular way.

  1. Networks and coalitions: build coalitions and establish trust

Such informal rules, about how to understand a problem and who to speak with about it, can be reinforced in networks of policymakers and influencers.

‘Policy community’ partly describes a sense that most policymaking is processed out of the public spotlight, often despite minimal high level policymaker interest. Senior policymakers delegate responsibility for policymaking to bureaucrats, who seek information and advice from groups. Groups exchange information for access to, and potential influence within, government, and policymakers have ‘standard operating procedures’ that favour particular sources of evidence and some participants over others

‘Policy community’ also describes a sense that the network seems fairly stable, built on high levels of trust between participants, based on factors such as reliability (the participant was a good source of information, and did not complain too much in public about decisions), a common aim or shared understanding of the problem, or the sense that influencers represent important groups.

So, the same policy case can have a greater impact if told by a well trusted actor in a policy community. Or, that community member may use networks to build key coalitions behind a case, use information from the network to understand which cases will have most impact, or know which audiences to seek.

  1. Ideas: learn the ‘currency’ of policy argument

This use of networks relates partly to learning the language of policy debate in particular ‘venues’, to learn what makes a convincing case. This language partly reflects a well-established ‘world view’ or the ‘core beliefs’ shared by participants. For example, a very specific ‘evidence-based’ language is used frequently in public health, while treasury departments look for some recognition of ‘value for money’ (according to a particular understanding of how you determine VFM). So, knowing your audience is knowing the terms of debate that are often so central to their worldview that they take them for granted and, in contrast, the forms of argument that are more difficult to pursue because they are challenging or unfamiliar to some audiences. Imagine a case that challenges completely someone’s world view, or one which is entirely consistent with it.

  1. Socioeconomic factors and events: influence how policymakers see the outside world

Some worldviews can be shattered by external events or crises, but this is a rare occurrence. It may be possible to generate a sense of crisis with reference to socioeconomic changes or events, but people will interpret these developments through the ‘lens’ of their own beliefs. In some cases, events seem impossible to ignore but we may not agree on their implications for action. In others, an external event only matters if policymakers pay attention to them. Indeed, we began this discussion with the insight that policymakers have to ignore almost all such information available to them.

Know your audience revisited: practical lessons from policy theories

To take into account all of these factors, while trying to make a very short and persuasive case, may seem impossible. Instead, we might pick up some basic rules of thumb from particular theories or approaches. We can discuss a few examples from ongoing work on ‘practical lessons from policy theories’.

Storytelling for policy impact

If you are telling a story with a setting, plot, hero, and moral, it may be more effective to focus on a hero than villain. More importantly, imagine two contrasting audiences: one is moved by your personal and story told to highlight some structural barriers to the wellbeing of key populations; another is unmoved, judges that person harshly, and thinks they would have done better in their shoes (perhaps they prefer to build policy on stereotypes of target populations). ‘Knowing your audience’ may involve some trial-and-error to determine which stories work under which circumstances.

Appealing to coalitions

Or, you may decide that it is impossible to write anything to appeal to all relevant audiences. Instead, you might tailor it to one, to reinforce its beliefs and encourage people to act. The ‘advocacy coalition framework’ describes such activities as routine: people go into politics to translate their beliefs into policy, they interpret the world through those beliefs, and they romanticise their own cause while demonising their opponents. If so, would a bland op-ed have much effect on any audience?

Learning from entrepreneurs

Policy entrepreneurs’ draw on three rules, two of which seem counterintuitive:

  1. Don’t focus on bombarding policymakers with evidence. Scientists focus on making more evidence to reduce uncertainty, but put people off with too much information. Entrepreneurs tell a good story, grab the audience’s interest, and the audience demands information.
  2. By the time people pay attention to a problem it’s too late to produce a solution. So, you produce your solution then chase problems.
  3. When your environment changes, your strategy changes. For example, in the US federal level, you’re in the sea, and you’re a surfer waiting for the big wave. In the smaller subnational level, on a low attention and low budget issue, you can be Poseidon moving the ‘streams’. In the US federal level, you need to ‘soften’ up solutions over a long time to generate support. In subnational or other countries, you have more opportunity to import and adapt ready-made solutions.

It all adds up to one simple piece of advice – timing and luck matters when making a policy case – but policy entrepreneurs know how to influence timing and help create their own luck.

On the day, we can use such concepts to help us think through the factors that you might think about while writing op-eds, even though it is very unlikely that you would mention them in your written work.

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Tips for policy success: learn from ‘policy entrepreneurs’ and exploit ‘windows of opportunity’

Policy influence is impossible to find if you don’t know where to look. Policies theories can help you look in the right places, but they take time to understand.

It’s not realistic to expect people with their own day jobs – such as scientists producing policy-relevant knowledge in other fields – to take the time to use the insights it takes my colleagues a full-time career to appreciate.

So, we need a way to explain those insights in a way that people can pick up and use when they engage in the policy process for the first time. That’s why Chris Weible and I asked a group of policy theory experts to describe the ‘state of the art’ in their field and the practical lessons that they offer.

None of these abstract theories provide a ‘blueprint’ for action (they were designed primarily to examine the policy process scientifically). Instead, they offer one simple insight: you’ll save a lot of energy if you engage with the policy process that exists, not the one you want to see.

Then, they describe variations on the same themes, including:

  1. There are profound limits to the power of individual policymakers: they can only process so much information, have to ignore almost all issues, and therefore tend to share policymaking with many other actors.
  2. You can increase your chances of success if you work with that insight: identify the right policymakers, the ‘venues’ in which they operate, and the ‘rules of the game’ in each venue; build networks and form coalitions to engage in those venues; shape agendas by framing problems and telling good stories, design politically feasible solutions, and learn how to exploit ‘windows of opportunity’ for their selection.

Learn from ‘multiple streams’ analysis

Streams pic and textMy paper on the ‘multiple streams approach’ shows what happens in the absence of two things you might want to see: ‘rational’ and ‘evidence based’ policymaking which takes place in a policy cycle with linear stages. If you act according to that hope, you’ll likely say the wrong thing to the wrong people at the wrong time. It would be better to adapt to the following implications of an agenda setting process in which framing is more important than evidence, and solutions chase problems (table 1).

Tablle 1 MSA

Learn the meaning of timing and windows of opportunity

Most people would associate ‘timing’ with the idiom ‘be in the right place at the right time’. In agenda setting it means two more important things:

  1. Learning the right time to exploit emotional thinking in policymakers to help generate attention to a policy problem, not waiting for their attention to shift naturally.
  2. Producing policy solutions first, then waiting for the right time to attach them to problems. If a policy cycle existed, policymakers would identify a problem then spark of a series of stages, to select a solution, implement, and evaluate it. In the real world, policymaker attention often shifts before a feasible solution can be developed.

Learn from ‘policy entrepreneurs’

So, successful ‘policy entrepreneurs’ ‘lie in wait in and around government with their solutions at hand, waiting for problems to float by to which they can attach their solutions, waiting for a development in the political stream they can use to their advantage’ (Kingdon 1984: 165–6). Entrepreneurs are the elected policymakers or unelected influencers with the knowledge, power, tenacity and luck to be able to exploit ‘windows of opportunity’ when: attention rises to a problem, a feasible solution is available, and policymakers have the motive to select it.

Learn if you can be the Queen of Makaha, Poseidon, or Cnut

Policy entrepreneurs seem to have particular skills or strategies, to frame issues well, build networks, and lead coalitions. However, Kingdon described them as ‘surfers waiting for the big wave’, which suggests that their environment is more important than their action. He was describing a large US political system in which different actors tended to be involved in different ‘streams’ or parts of policymaking (such as a President raising problems, and a bureaucracy coordinating solutions), no one was powerful enough to bring them together, and it took a lot of time for policy solutions to ‘soften’ or change enough to become acceptable to many actors in the system.

In modern studies, we can see some key differences: policymaking at a smaller scale seems to allow ‘entrepreneurs’ more opportunities to propose solutions and generate attention to problems; and, it seems possible to short-circuit the need to ‘soften’ policies by finding sympathetic audiences in different ‘venues’ or importing solutions that have a reputation for working elsewhere. Yet, most of MSA’s abstract insights remain ‘universal’, inviting us to  adopt a counterintuitive strategy of producing solutions then chasing problems, and focus on framing and persuasion to reduce ambiguity and generate demand for evidence, rather than producing more and more evidence to reduce uncertainty in the hope that scientific evidence will win the day or speak for itself.

The full draft paper is here: Practical lessons from the study of agenda setting: combine evidence with emotional appeals to exploit ‘windows of opportunity’

See also: Three ways to explain the politics of evidence-based policymaking

Original streams pic


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I know my audience, but does my other audience know I know my audience?

‘Know your audience’ is a key phrase for anyone trying to convey a message successfully. To ‘know your audience’ is to understand the rules they use to make sense of your message, and therefore the adjustments you have to make to produce an effective message. Simple examples include:

  • The sarcasm rules. The first rule is fairly explicit. If you want to insult someone’s shirt, you (a) say ‘nice shirt, pal’, but also (b) use facial expressions or unusual speech patterns to signal that you mean the opposite of what you are saying. Otherwise, you’ve inadvertently paid someone a compliment, which is just not on. The second rule is implicit. Sarcasm is sometimes OK – as a joke or as some nice passive aggression – and a direct insult (‘that shirt is shite, pal’) as a joke is harder to pull off.
  • The joke rule. If you say that you went to the doctor because a strawberry was growing out of your arse and the doctor gave you some cream for it, you’d expect your audience to know you were joking because it’s such a ridiculous scenario and there’s a pun. Still, there’s a chance that, if you say it quickly, with a straight face, your audience is not expecting a joke, and/ or your audience’s first language is not English, your audience will take you seriously, if only for a second. It’s hilarious if your audience goes along with you, and a bit awkward if your audience asks kindly about your welfare.
  • Keep it simple stupid. If someone says KISS, or some modern equivalent – ‘it’s the economy, stupid’, the rule is that, generally, they are not calling you stupid (even though the insertion of the comma, in modern phrases, makes it look like they are). They are referring to the value of a simple design or explanation that as many people as possible can understand. If your audience doesn’t know the phrase, they may think you’re calling them stupid, stupid.

These rules can be analysed from various perspectives: linguistics, focusing on how and why rules of language develop; and philosophy, to help articulate how and why rules matter in sense making.

There is also a key role for psychological insights, since – for example – a lot of these rules relate to the routine ways in which people engage emotionally with the ‘signals’ or information they receive.

Think of the simple example of twitter engagement, in which people with emotional attachments to one position over another (say, pro- or anti- Brexit), respond instantly to a message (say, pro- or anti- Brexit). While some really let themselves down when they reply with their own tweet, and others don’t say a word, neither audience is immune from that emotional engagement with information. So, to ‘know your audience’ is to anticipate and adapt to the ways in which they will inevitably engage ‘rationally’ and ‘irrationally’ with your message.

I say this partly because I’ve been messing around with some simple ‘heuristics’ built on insights from psychology, including Psychology Based Policy Studies: 5 heuristics to maximise the use of evidence in policymaking .

Two audiences in the study of ‘evidence based policymaking’

I also say it because I’ve started to notice a big unintended consequence of knowing my audience: my one audience doesn’t like the message I’m giving the other. It’s a bit like gossip: maybe you only get away with it if only one audience is listening. If they are both listening, one audience seems to appreciate some new insights, while the other wonders if I’ve ever read a political science book.

The problem here is that two audiences have different rules to understand the messages that I help send. Let’s call them ‘science’ and ‘political science’ (please humour me – you’ve come this far). Then, let’s make some heroic binary distinctions in the rules each audience would use to interpret similar issues in a very different way.

I could go on with these provocative distinctions, but you get the idea. A belief taken for granted in one field will be treated as controversial in another. In one day, you can go to one workshop and hear the story of objective evidence, post-truth politics, and irrational politicians with low political will to select evidence-based policies, then go to another workshop and hear the story of subjective knowledge claims.

Or, I can give the same presentation and get two very different reactions. If these are the expectations of each audience, they will interpret and respond to my messages in very different ways.

So, imagine I use some psychology insights to appeal to the ‘science’ audience. I know that,  to keep it on side and receptive to my ideas, I should begin by being sympathetic to its aims. So, my implicit story is along the lines of, ‘if you believe in the primacy of science and seek evidence-based policy, here is what you need to do: adapt to irrational policymaking and find out where the action is in a complex policymaking system’. Then, if I’m feeling energetic and provocative, I’ll slip in some discussion about knowledge claims by saying something like, ‘politicians (and, by the way, some other scholars) don’t share your views on the hierarchy of evidence’, or inviting my audience to reflect on how far they’d go to override the beliefs of other people (such as the local communities or service users most affected by the evidence-based policies that seem most effective).

The problem with this story is that key parts are implicit and, by appearing to go along with my audience, I provoke a reaction in another audience: don’t you know that many people have valid knowledge claims? Politics is about values and power, don’t you know?

So, that’s where I am right now. I feel like I ‘know my audience’ but I am struggling to explain to my original political science audience that I need to describe its insights in a very particular way to have any traction in my other science audience. ‘Know your audience’ can only take you so far unless your other audience knows that you are engaged in knowing your audience.

If you want to know more, see:

Kathryn Oliver and I have just published an article on the relationship between evidence and policy

How far should you go to secure academic ‘impact’ in policymaking? From ‘honest brokers’ to ‘research purists’ and Machiavellian manipulators

Why doesn’t evidence win the day in policy and policymaking?

The Science of Evidence-based Policymaking: How to Be Heard

When presenting evidence to policymakers, engage with the policy process that exists, not the process you wish existed



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Filed under Academic innovation or navel gazing, agenda setting, Evidence Based Policymaking (EBPM), Psychology Based Policy Studies, public policy, Storytelling

‘Co-producing’ comparative policy research: how far should we go to secure policy impact?

Two recent articles explore the role of academics in the ‘co-production’ of policy and/or knowledge.

Both papers suggest (I think) that academic engagement in the ‘real world’ is highly valuable, and that we should not pretend that we can remain aloof from politics when producing new knowledge (research production is political even if it is not overtly party political). They also suggest that it is fraught with difficulty and, perhaps, an often-thankless task with no guarantee of professional or policy payoffs (intrinsic motivation still trumps extrinsic motivation).

So, what should we do?

I plan to experiment a little bit while conducting some new research over the next 4 years. For example, I am part of a new project called IMAJINE, and plan to speak with policymakers, from the start to the end, about what they want from the research and how they’ll use it. My working assumption is that it will help boost the academic value and policy relevance of the research.

I have mocked up a paper abstract to describe this kind of work:

In this paper, we use policy theory to explain why the ‘co-production’ of comparative research with policymakers makes it more policy relevant: it allows researchers to frame their policy analysis with reference to the ways in which policymakers frame policy problems; and, it helps them identify which policymaking venues matter, and the rules of engagement within them.  In other words, theoretically-informed researchers can, to some extent, emulate the strategies of interest groups when they work out ‘where the action is’ and how to adapt to policy agendas to maximise their influence. Successful groups identify their audience and work out what it wants, rather than present their own fixed views to anyone who will listen.

Yet, when described so provocatively, our argument raises several practical and ethical dilemmas about the role of academic research. In abstract discussions, they include questions such as: should you engage this much with politics and policymakers, or maintain a critical distance; and, if you engage, should you simply reflect or seek to influence the policy agenda? In practice, such binary choices are artificial, prompting us to explore how to manage our engagement in politics and reflect on our potential influence.

We explore these issues with reference to a new Horizon 2020 funded project IMAJINE, which includes a work package – led by Cairney – on the use of evidence and learning from the many ways in which EU, national, and regional policymakers have tried to reduce territorial inequalities.

So, in the paper we (my future research partner and I), would:

  • Outline the payoffs to this engage-early approach. Early engagement will inform the research questions you ask, how you ask them, and how you ‘frame’ the results. It should also help produce more academic publications (which is still the key consideration for many academics), partly because this early approach will help us speak with some authority about policy and policymaking in many countries.
  • Describe the complications of engaging with different policymakers in many ‘venues’ in different countries: you would expect very different questions to arise, and perhaps struggle to manage competing audience demands.
  • Raise practical questions about the research audience, including: should we interview key advocacy groups and private sources of funding for applied research, as well as policymakers, when refining questions? I ask this question partly because it can be more effective to communicate evidence via policy influencers rather than try to engage directly with policymakers.
  • Raise ethical questions, including: what if policymaker interviewees want the ‘wrong’ questions answered? What if they are only interested in policy solutions that we think are misguided, either because the evidence-base is limited (and yet they seek a magic bullet) or their aims are based primarily on ideology (an allegedly typical dilemma regards left-wing academics providing research for right-wing governments)?

Overall, you can see the potential problems: you ‘enter’ the political arena to find that it is highly political! You find that policymakers are mostly interested in (what you believe are) ineffective or inappropriate solutions and/ or they think about the problem in ways that make you, say, uncomfortable. So, should you engage in a critical way, risking exclusion from the ‘coproduction’ of policy, or in a pragmatic way, to ‘coproduce’ knowledge and maximise your chances of their impact in government?

The case study of territorial inequalities is a key source of such dilemmas …

…partly because it is difficult to tell how policymakers define and want to solve such policy problems. When defining ‘territorial inequalities’, they can refer broadly to geographical spread, such as within the EU Member States, or even within regions of states. They can focus on economic inequalities, inequalities linked strongly to gender, race or ethnicity, mental health, disability, and/ or inequalities spread across generations. They can focus on indicators of inequalities in areas such as health and education outcomes, housing tenure and quality, transport, and engagement with social work and criminal justice. While policymakers might want to address all such issues, they also prioritise the problems they want to solve and the policy instruments they are prepared to use.

When considering solutions, they can choose from three basic categories:

  1. Tax and spending to redistribute income and wealth, perhaps treating economic inequalities as the source of most others (such as health and education inequalities).
  2. The provision of public services to help mitigate the effects of economic and other inequalities (such as free healthcare and education, and public transport in urban and rural areas).
  3. The adoption of ‘prevention’ strategies to engage as early as possible in people’s lives, on the assumption that key inequalities are well-established by the time children are three years old.

Based on my previous work with Emily St Denny, I’d expect that many governments express a high commitment to reduce inequalities – and it is often sincere – but without wanting to use tax/ spending as the primary means, and faced with limited evidence on the effectiveness of public services and prevention. Or, many will prefer to identify ‘evidence-based’ solutions for individuals rather than to address ‘structural’ factors linked to factors such as gender, ethnicity, and class. This is when the production and use of evidence becomes overtly ‘political’, because at the heart of many of these discussions is the extent to which individuals or their environments are to blame for unequal outcomes, and if richer regions should compensate poorer regions.

‘The evidence’ will not ‘win the day’ in such debates. Rather, the choice will be between, for example: (a) pragmatism, to frame evidence to contribute to well-established beliefs, about policy problems and solutions, held by the dominant actors in each political system; and, (b) critical distance, to produce what you feel to be the best evidence generated in the right way, and challenge policymakers to explain why they won’t use it. I suspect that (a) is more effective, but (b) better reflects what most academics thought they were signing up to.

For more on IMAJINE, see New EU study looks at gap between rich and poor and The theory and practice of evidence-based policy transfer: can we learn how to reduce territorial inequalities?

For more on evidence/ policy dilemmas, see Kathryn Oliver and I have just published an article on the relationship between evidence and policy


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Filed under Evidence Based Policymaking (EBPM), IMAJINE, public policy