Tag Archives: evidence

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

I was interviewed in Science, on the topic of evidence-based policymaking, and we discussed some top tips for people seeking to maximise the use of evidence in a complex policy process (or, perhaps, feel less dispirited about the lack of EBPM in many cases). If it sparks your interest, I have some other work on this topic:

I am editing a series of forthcoming articles on maximising the use of scientific evidence in policy, and the idea is that health and environmental scientists can learn from many other disciplines about how to, for example, anticipate policymaker psychology, find the right policymaking venue, understand its rules and ‘currency’ (the language people use, to reflect dominant ways of thinking about problems), and tell effective stories to the right people.

Palgrave C special

I have also completed a book, some journal articles (PAR, E&P), and some blog posts on the ‘politics of evidence-based policymaking’.

Pivot cover

Two posts appear in the Guardian political science blog (me, me and Kathryn Oliver).

One post, for practitioners, has ‘5 things you need to know’, and it links to presentations on the same theme to different audiences (Scotland, US, EU).

ebpm-5-things-to-do

In this post, I’m trying to think through in more detail what we do with such insights.

The insights I describe come from policy theory, and I have produced 25 posts which introduce each of them in 1000 words (or, if you are super busy, 500 words). For example, the Science interview mentions a spirograph of many cycles, which is a reference to the idea of a policy cycle. Also look out for the 1000-word posts on framing and narrative and think about how they relate to the use of storytelling in policy.

If you like what you see, and want to see more, have a look at my general list of offerings (home page) or list of books and articles with links to theirs PDFs (CV).

how-to-be-heard

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Using psychological insights in politics: can we do it without calling our opponents mental, hysterical, or stupid?

One of the most dispiriting parts of fierce political debate is the casual use of mental illness or old and new psychiatric terms to undermine an opponent: she is mad, he is crazy, she is a nutter, they are wearing tin foil hats, get this guy a straitjacket and the men in white coats because he needs to lie down in a dark room, she is hysterical, his position is bipolar, and so on. This kind of statement reflects badly on the campaigner rather than their opponent.

I say this because, while doing some research on a paper on the psychology of politics and policymaking (this time with Richard Kwiatkowski, as part of this special collection), there are potentially useful concepts that seem difficult to insulate from such political posturing. There is great potential to use them cynically against opponents rather than benefit from their insights.

The obvious ‘live’ examples relate to ‘rational’ versus ‘irrational’ policymaking. For example, one might argue that, while scientists develop facts and evidence rationally, using tried and trusted and systematic methods, politicians act irrationally, based on their emotions, ideologies, and groupthink. So, we as scientists are the arbiters of good sense and they are part of a pathological political process that contributes to ‘post truth’ politics.

The obvious problem with such accounts is that we all combine cognitive and emotional processes to think and act. We are all subject to bias in the gathering and interpretation of evidence. So, the more positive, but less tempting, option is to consider how this process works – when both competing sides act ‘rationally’ and emotionally – and what we can realistically do to mitigate the worst excesses of such exchanges. Otherwise, we will not get beyond demonising our opponents and romanticising our own cause. It gives us the warm and fuzzies on twitter and in academic conferences but contributes little to political conversations.

A less obvious example comes from modern work on the links between genes and attitudes. There is now a research agenda which uses surveys of adult twins to compare the effect of genes and environment on political attitudes. For example, Oskarsson et al (2015: 650) argue that existing studies ‘report that genetic factors account for 30–50% of the variation in issue orientations, ideology, and party identification’. One potential mechanism is cognitive ability: put simply, and rather cautiously and speculatively, with a million caveats, people with lower cognitive ability are more likely to see ‘complexity, novelty, and ambiguity’ as threatening and to respond with fear, risk aversion, and conservatism (2015: 652).

My immediate thought, when reading this stuff, is about how people would use it cynically, even at this relatively speculative stage in testing and evidence gathering: my opponent’s genes make him stupid, which makes him fearful of uncertainty and ambiguity, and therefore anxious about change and conservative in politics (in other words, the Yoda hypothesis applied only to stupid people). It’s not his fault, but his stupidity is an obstacle to progressive politics. If you add in some psychological biases, in which people inflate their own sense of intelligence and underestimate that of their opponents, you have evidence-informed, really shit political debate! ‘My opponent is stupid’ seems a bit better than ‘my opponent is mental’ but only in the sense that eating a cup of cold sick is preferable to eating shit.

I say this as we try to produce some practical recommendations (for scientist and advocates of EBPM) to engage with politicians to improve the use of evidence in policy. I’ll let you know if it goes beyond a simple maxim: adapt to their emotional and cognitive biases, but don’t simply assume they’re stupid.

See also: the many commentaries on how stupid it is to treat your political opponents as stupid

Stop Calling People “Low Information Voters

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We all want ‘evidence based policy making’ but how do we do it?

Here are some notes for my talk to the Scottish Government on Thursday as part of its ‘inaugural ‘evidence in policy week’. The advertised abstract is as follows:

A key aim in government is to produce ‘evidence based’ (or ‘informed’) policy and policymaking, but it is easier said than done. It involves two key choices about (1) what evidence counts and how you should gather it, and (2) the extent to which central governments should encourage subnational policymakers to act on that evidence. Ideally, the principles we use to decide on the best evidence should be consistent with the governance principles we adopt to use evidence to make policy, but what happens when they seem to collide? Cairney provides three main ways in which to combine evidence and governance-based principles to help clarify those choices.

I plan to use the same basic structure of the talks I gave to the OSF (New York) and EUI-EP (Florence) in which I argue that every aspect of ‘evidence based policy making’ is riddled with the necessity to make political choices (even when we define EBPM):

ebpm-5-things-to-do

I’ll then ‘zoom in’ on points 4 and 5 regarding the relationship between EBPM and governance principles. They are going to videotape the whole discussion to use for internal discussions, but I can post the initial talk here when it becomes available. Please don’t expect a TED talk (especially the E part of TED).

EBPM and good governance principles

The Scottish Government has a reputation for taking certain governance principles seriously, to promote high stakeholder ‘ownership’ and ‘localism’ on policy, and produce the image of a:

  1. Consensual consultation style in which it works closely with interest groups, public bodies, local government organisations, voluntary sector and professional bodies, and unions when making policy.
  2. Trust-based implementation style indicating a relative ability or willingness to devolve the delivery of policy to public bodies, including local authorities, in a meaningful way

Many aspects of this image were cultivated by former Permanent Secretaries: Sir John Elvidge described a ‘Scottish Model’ focused on joined-up government and outcomes-based approaches to policymaking and delivery, and Sir Peter Housden labelled the ‘Scottish Approach to Policymaking’ (SATP) as an alternative to the UK’s command-and-control model of government, focusing on the ‘co-production’ of policy with local communities and citizens.

The ‘Scottish Approach’ has implications for evidence based policy making

Note the major implication for our definition of EBPM. One possible definition, derived from ‘evidence based medicine’, refers to a hierarchy of evidence in which randomised control trials and their systematic review are at the top, while expertise, professional experience and service user feedback are close to the bottom. An uncompromising use of RCTs in policy requires that we maintain a uniform model, with the same basic intervention adopted and rolled out within many areas. The focus is on identifying an intervention’s ‘active ingredient’, applying the correct dosage, and evaluating its success continuously.

This approach seems to challenge the commitment to localism and ‘co-production’.

At the other end of the spectrum is a storytelling approach to the use of evidence in policy. In this case, we begin with key governance principles – such as valuing the ‘assets’ of individuals and communities – and inviting people to help make and deliver policy. Practitioners and service users share stories of their experiences and invite others to learn from them. There is no model of delivery and no ‘active ingredient’.

This approach seems to challenge the commitment to ‘evidence based policy’

The Goldilocks approach to evidence based policy making: the improvement method

We can understand the Scottish Government’s often-preferred method in that context. It has made a commitment to:

Service performance and improvement underpinned by data, evidence and the application of improvement methodologies

So, policymakers use many sources of evidence to identify promising, make broad recommendations to practitioners about the outcomes they seek, and they train practitioners in the improvement method (a form of continuous learning summed up by a ‘Plan-Do-Study-Act’ cycle).

Table 1 Three ideal types EBBP

This approach appears to offer the best of both worlds; just the right mix of central direction and local discretion, with the promise of combining well-established evidence from sources including RCTs with evidence from local experimentation and experience.

Four unresolved issues in decentralised evidence-based policy making

Not surprisingly, our story does not end there. I think there are four unresolved issues in this process:

  1. The Scottish Government often indicates a preference for improvement methods but actually supports all three of the methods I describe. This might reflect an explicit decision to ‘let a thousand flowers bloom’ or the inability to establish a favoured approach.
  2. There is not a single way of understanding ‘improvement methodology’. I describe something akin to a localist model here, but other people describe a far more research-led and centrally coordinated process.
  3. Anecdotally, I hear regularly that key stakeholders do not like the improvement method. One could interpret this as a temporary problem, before people really get it and it starts to work, or a fundamental difference between some people in government and many of the local stakeholders so important to the ‘Scottish approach’.

4. The spectre of democratic accountability and the politics of EBPM

The fourth unresolved issue is the biggest: it’s difficult to know how this approach connects with the most important reference in Scottish politics: the need to maintain Westminster-style democratic accountability, through periodic elections and more regular reports by ministers to the Scottish Parliament. This requires a strong sense of central government and ministerial control – if you know who is in charge, you know who to hold to account or reward or punish in the next election.

In principle, the ‘Scottish approach’ provides a way to bring together key aims into a single narrative. An open and accessible consultation style maximises the gathering of information and advice and fosters group ownership. A national strategic framework, with cross-cutting aims, reduces departmental silos and balances an image of democratic accountability with the pursuit of administrative devolution, through partnership agreements with local authorities, the formation of community planning partnerships, and the encouragement of community and user-driven design of public services. The formation of relationships with public bodies and other organisations delivering services, based on trust, fosters the production of common aims across the public sector, and reduces the need for top-down policymaking. An outcomes-focus provides space for evidence-based and continuous learning about what works.

In practice, a government often needs to appear to take quick and decisive action from the centre, demonstrate policy progress and its role in that progress, and intervene when things go wrong. So, alongside localism it maintains a legislative, financial, and performance management framework which limits localism.

How far do you go to ensure EBPM?

So, when I describe the ‘5 things to do’, usually the fifth element is about how far scientists may want to go, to insist on one model of EBPM when it has the potential to contradict important governance principles relating to consultation and localism. For a central government, the question is starker:

Do you have much choice about your model of EBPM when the democratic imperative is so striking?

I’ll leave it there on a cliff hanger, since these are largely questions to prompt discussion in specific workshops. If you can’t attend, there is further reading on the EBPM and EVIDENCE tabs on this blog, and specific papers on the Scottish dimension

The ‘Scottish Approach to Policy Making’: Implications for Public Service Delivery

Paul Cairney, Siabhainn Russell and Emily St Denny (2016) “The ‘Scottish approach’ to policy and policymaking: what issues are territorial and what are universal?” Policy and Politics, 44, 3, 333-50

The politics of evidence-based best practice: 4 messages

 

 

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How can political actors take into account the limitations of evidence-based policy-making? 5 key points

These notes are for my brief panel talk at the European Parliament-European University Institute ‘Policy Roundtable’: Evidence and Analysis in EU Policy-Making: Concepts, Practice and Governance. As you can see from the programme description, the broader theme is about how EU institutions demonstrate their legitimacy through initiatives such as stakeholder participation and evidence-based policymaking (EBPM). So, part of my talk is about what happens when EBPM does not exist.

The post is a slightly modified version of my (recorded) talk for Open Society Foundations (New York) but different audiences make sense of these same basic points in very different ways.

  1. Recognise that the phrase ‘evidence-based policy-making’ means everything and nothing

The main limitation to ‘evidence-based policy-making’ is that no-one really knows what it is or what the phrase means. So, each actor makes sense of EBPM in different ways and you can tell a lot about each actor by the way in which they answer these questions:

  • Should you use restrictive criteria to determine what counts as ‘evidence’? Some actors equate evidence with scientific evidence and adhere to specific criteria – such as evidence-based medicine’s hierarchy of evidence – to determine what is scientific. Others have more respect for expertise, professional experience, and stakeholder and service user feedback as sources of evidence.
  • Which metaphor, evidence based or informed is best? ‘Evidence based’ is often rejected by experienced policy participants as unrealistic, preferring ‘informed’ to reflect pragmatism about mixing evidence and political calculations.
  • How far do you go to pursue EBPM? It is unrealistic to treat ‘policy’ as a one-off statement of intent by a single authoritative actor. Instead, it is made and delivered by many actors in a continuous policymaking process within a complicated policy environment (outlined in point 3). This is relevant to EU institutions with limited resources: the Commission often makes key decisions but relies on Member States to make and deliver, and the Parliament may only have the ability to monitor ‘key decisions’. It is also relevant to stakeholders trying to ensure the use of evidence throughout the process, from supranational to local action.
  • Which actors count as policymakers? Policymaking is done by ‘policymakers’, but many are unelected and the division between policymaker/ influencer is often unclear. The study of policymaking involves identifying networks of decision-making by elected and unelected policymakers and their stakeholders, while the actual practice is about deciding where to draw the line between influence and action.
  1. Respond to ‘rational’ and ‘irrational’ thought.

Comprehensive rationality’ describes the absence of ambiguity and uncertainty when policymakers know what problem they want to solve and how to solve it, partly because they can gather and understand all information required to measure the problem and determine the effectiveness of solutions.

Instead, we talk of ‘bounded rationality’ and how policymakers deal with it. They employ two kinds of shortcut: ‘rational’, by pursuing clear goals and prioritizing certain kinds and sources of information, and ‘irrational’, by drawing on emotions, gut feelings, deeply held beliefs, habits, and familiarity, make decisions quickly.

I say ‘irrational’ provocatively, to raise a key strategic question: do you criticise emotional policymaking (describing it as ‘policy based evidence’) and try somehow to minimise it, adapt pragmatically to it, or see ‘fast thinking’ more positively in terms of ‘fast and frugal heuristics’? Regardless, policymakers will think that their heuristics make sense to them, and it can be counterproductive to simply criticise their alleged irrationality.

  1. Think about how to engage in complex systems or policy environments.

Policy cycle’ describes the idea that there is a core group of policymakers at the ‘centre’, making policy from the ‘top down’, and pursuing their goals in a series of clearly defined and well-ordered stages, such as: agenda setting, policy formulation, legitimation, implementation, and evaluation. In this context, one might identify how to influence a singular point of central government decision.

However, a cycle model does not describe policymaking well. Instead, we tend to identify the role of less ordered and more unpredictable complex systems, or policy environments containing:

  • A wide range of actors (individuals and organisations) influencing policy at many levels of government. Scientists and practitioners are competing with many actors to present evidence in a particular way to secure a policymaker audience.
  • A proliferation of rules and norms maintained by different levels or types of government. Support for particular ‘evidence based’ solutions varies according to which organisation takes the lead and how it understands the problem.
  • Important relationships (‘networks’) between policymakers and powerful actors. Some networks are close-knit and difficult to access because bureaucracies have operating procedures that favour particular sources of evidence and some participants over others, and there is a language – indicating what ways of thinking are in good ‘currency’ – that takes time to learn.
  • A tendency for certain ‘core beliefs’ or ‘paradigms’ to dominate discussion. Well-established beliefs provide the context for policymaking: new evidence on the effectiveness of a policy solution has to be accompanied by a shift of attention and successful persuasion.
  • Policy conditions and events that can reinforce stability or prompt policymaker attention to lurch at short notice. In some cases, social or economic ‘crises’ can prompt lurches of attention from one issue to another, and some forms of evidence can be used to encourage that shift, but major policy change is rare.

For stakeholders, an effective engagement strategy is not straightforward: it takes time to know ‘where the action is’, how and where to engage with policymakers, and with whom to form coalitions. For the Commission, it is difficult to know what will happen to policy after it is made (although we know the end point will not resemble the starting point). For the Parliament, it is difficult even to know where to look.

  1. Recognise that EBPM is only one of many legitimate ‘good governance’ principles.

There are several principles of ‘good’ policymaking and only one is EBPM. Others relate to the value of pragmatism and consensus building, combining science advice with public values, improving policy delivery by generating ‘ownership’ of policy among key stakeholders, and sharing responsibility with elected national and local policymakers.

Our choice of which principle and forms of evidence to privilege are inextricably linked. For example, some forms of evidence gathering seem to require uniform models and limited local or stakeholder discretion to modify policy delivery. The classic example is a programme whose value is established using randomised control trials (RCTs). Others begin with local discretion, seeking evidence from stakeholders, professional groups, service user and local practitioner experience. This principle seems to rule out the use of RCTs, at least as a source of a uniform model to be rolled out and evaluated. Of course, one can try to pursue both approaches and a compromise between them, but the outcome may not satisfy advocates of either approach to EBPM or help produce the evidence that they favour.

  1. Decide how far you’ll go to achieve EBPM.

These insights should prompt us to see how far we are willing, and should, go to promote the use of certain forms of evidence in policymaking

  • If policymakers and the public are emotional decision-makers, should we seek to manipulate their thought processes by using simple stories with heroes, villains, and clear but rather simplistic morals?
  • If policymaking systems are so complex, should stakeholders devote huge amounts of resources to make sure they’re effective at each stage?
  • Should proponents of scientific evidence go to great lengths to make sure that EBPM is based on a hierarch of evidence? There is a live debate on science advice to government on the extent to which scientists should be more than ‘honest brokers’.
  • Should policymakers try to direct the use of evidence in policy as well as policy itself?

Where we go from there is up to you

The value of policy theory to this topic is to help us reject simplistic models of EBPM and think through the implications of more sophisticated and complicated processes. It does not provide a blueprint for action (how could it?), but instead a series of questions that you should answer when you seek to use evidence to get what you want. They are political choices based on value judgements, not issues that can be resolved by producing more evidence.

 

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Storytelling for Policy Change: promise and problems

I went to a fantastic workshop on storytelling for policy change. It was hosted by Open Society Foundations New York (25/6 October), and brought together a wide range of people from different backgrounds: Narativ, people experienced in telling their own story, advocacy and professional groups using stories to promote social or policy change, major funders, journalists, and academics. There was already a lot of goodwill in the room at the beginning, and by the end there was more than a lot!

The OSF plans to write up a summary of the whole discussion, so my aim is to highlight the relevance for ‘evidence-based policymaking’ and for scientists and academics seeking more ‘impact’ for their research. In short, although I recommend that scientists ‘turn a large amount of scientific evidence into simple and effective stories that appeal to the biases of policymakers’, it’s easier said than done, and not something scientists are trained in. Good storytellers might enthuse people already committed to the idea of storytelling for policy, but what about scientists more committed to the language of scientific evidence and perhaps sceptical about the need to develop this new skill (particularly those who describe stories pejoratively as ‘anecdata’)? What would make them take a leap in the dark, to give up precious research time to develop skills in storytelling?

So, let me tell you why I thought the workshop was brilliant – including outlining its key insights – and why you might not!

Why I thought it was brilliant

Academic conferences can be horrible: a seemingly never-ending list of panels with 4-5 paper givers and a discussant, taking up almost all of the talking time with too-long and often-self-indulgent and long-winded PowerPoint presentations and little time for meaningful discussion. It’s a test of meeting deadlines for the presenter and an endurance test for the listener.

This workshop was different: the organisers thought about what it means to talk and listen, and therefore how to encourage people to talk in an interesting way and encourage high attention and engagement.

There were three main ‘listening exercises’: a personal exercise in which you closed your eyes and thought about the obstacles to listening (I confess that I cheated on that one); a paired exercise in which one person listened and thought of three poses to sum up the other’s short story; and a group exercise in which people paired up, told and then summarised each other’s stories, and spoke as a group about the implications.

This final exercise was powerful: we told often-revealing stories to strangers, built up trust very quickly, and became emotionally involved in each other’s accounts. It was interesting to watch how quickly we could become personally invested in each other’s discussion, form networks, and listen intently to each other.

For me, it was a good exercise in demonstrating what you need in a policymaker audience: ideally, they should care about the problem you raise, be personally invested in trying to solve it, and trust you and therefore your description of the most feasible solutions. If it helps recreate these conditions, a storytelling scientist may be more effective than an ‘honest broker’. Without a good story to engage your audience, your evidence will be like a drop in the ocean and your audience might be checking its email or playing Pokemon Go while you present.

Key insights and impressions

Most participants expressed strong optimism about the effect of stories on society and policy, particularly when the aim is more expressive than instrumental: the act itself of telling one’s story and being heard can be empowering, particularly within marginalised groups from which we hear few voices. It can also be remarkably powerful, remarkably quickly: most of us were crying or laughing instantly and frequently as we heard many moving stories about many issues. It’s hard to overstate just how effective many of these stories were when you heard them in person.

When discussing more instrumental concerns – can we use a story to get what we want? – the optimism was more cautious and qualified. Key themes included:

  • The balance between effective and ethical storytelling, accepting that if a story is a commodity it can be used by people less sympathetic to our aims, and exploring the ethics of using the lens of sympathetic characters (e.g. white grandparents) to make the case for marginalised groups.
  • This ethical dimension was reinforced continuously by stories of vulnerable storytellers and the balance between telling their story and protecting their safety.
  • The importance of context: the same story may have more or less impact depending on the nature of the audience; many examples conveyed the sense that a story with huge impact now would have failed 10 or 20 years ago and/ or in a different region.
  • The importance of tailoring stories to the biases of audiences and trying to reframe the implications of your audience’s beliefs (one particularly interesting example was of portraying equal marriage in Ireland as the Christian thing to do).
  • Many campaigns used humour and positive stories with heroes, based on the assumption that audiences would be put off by depressing stories of problems with no obvious solution but energised by a message of new possibilities.
  • Many warned against stories that were too personal, identifying the potential for an audience to want to criticise or fix an individual’s life rather than solve a systemic problem (and this individualistic interpretation was most pronounced among people identifying with right-wing parties).
  • Many described the need to experiment/ engage in trial-and-error to identify what works with each audience, including the length of written messages, choice of media, and choice of ‘thin’ stories with clear messages to generate quick attention or ‘thick’ stories which might be more memorable if we have the resources to tell them and people take the time to listen.

Many of these points will seem familiar if you study psychology or the psychology of policymaking. So, the benefit of these experiences is that they tell us how people have applied such insights and how it has helped their cause. Most speakers were confident that they were making an impact.

Why you may not be as impressed: two reasons

The first barrier to getting you enthusiastic is that you weren’t there. If emotional engagement is such a key part of storytelling, and you weren’t there to hear it, why would you care? So, a key barrier to making an ‘impact’ with storytelling is that it is difficult to increase its scale. You might persuade someone if they spent enough time with you, but what if you only had a few seconds in which to impress them or, worse still, you couldn’t impress them because they weren’t interested in the first place? Our worry may be that we can only influence people who are already open to our idea. This isn’t the end of the world, since a key political aim may be to enthuse people who share your beliefs and get them to act (for example, to spread the word to their friends). However, it prompts us to wonder about the varying effect of the same message and the extent to which our message’s power comes from our audience rather than our story.

The second barrier is that, when the question is framed for an academic audience – what is the scientific evidence on the impact of stories? – the answer is not clear.

On the panel devoted to this question (and in a previous session), there were some convincing accounts of the impact of initiatives such as: the Women’s Policy Institute ‘grass roots’ training in California (leading to advocacy prompting 2 dozen bills to be signed over 13 years); Purpose’s branding campaign for the White Helmets (including the miracle baby video which has received tens of millions of views); and, the Frame Works Institute’s ability to change minds with very brief interventions (for example, getting people to think in terms of problem systems more than problem individuals in areas like criminal justice).

However, the academic analysis – with contributions from Francesca Polletta, Jeff Niederdeppe, Douglas Storey, Michael Jones – tended to stress caution or note limited effects:

  • Stories work when they create an empathic reaction, but intensely personal experiences are difficult to recreate when mediated (soap operas and ‘edutainment’ come closest).
  • Randomised control trials suggest that stories have a measurable effect, but it’s small and compared to no intervention at all rather than a competing approach such as providing evidence in reports (note that most experimental studies do not draw on skilful storytellers)
  • Stories work most clearly when they reinforce the beliefs of your allies (and when you refer to heroes, not villains), but the effects are indirect at best with your opponents.

More research required?!

So, you might want more convincing evidence before you take that giant leap to train to become a skilful storyteller: why go for it when its effects are so unclear and difficult to measure?

For me, that response might seem sensible but is also a cop out: unequivocal evidence may never arrive and good science often involves researching as you go. A key insight into policymaking regards a continuous sense of urgency to solve problems: policymakers don’t wait for the evidence to become unequivocal before they act, partly because that sense of clarity may never happen. They feel the need to act on the basis of available evidence. Perhaps scientists should at least think about doing the same when they seek to act on research rather than simply do the research: how long should you postpone potentially valuable action with the old cliché ‘more research required’?

listening-new-york-1-11-16

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Evidence Based Policy Making: 5 things you need to know and do

These are some opening remarks for my talk on EBPM at Open Society Foundations (New York), 24th October 2016. The OSF recorded the talk, so you can listen below, externally, or by right clicking and saving. Please note that it was a lunchtime talk, so the background noises are plates and glasses.

Evidence based policy making’ is a good political slogan, but not a good description of the policy process. If you expect to see it, you will be disappointed. If you seek more thoughtful ways to understand and act within political systems, you need to understand five key points then decide how to respond.

  1. Decide what it means.

EBPM looks like a valence issue in which most of us agree that policy and policymaking should be ‘evidence based’ (perhaps like ‘evidence based medicine’). Yet, valence issues only command broad agreement on vague proposals. By defining each term we highlight ambiguity and the need to make political choices to make sense of key terms:

  • Should you use restrictive criteria to determine what counts as ‘evidence’ and scientific evidence?
  • Which metaphor, evidence based or informed, describes how pragmatic you will be?
  • The unclear meaning of ‘policy’ prompts you to consider how far you’d go to pursue EBPM, from a one-off statement of intent by a key actor, to delivery by many actors, to the sense of continuous policymaking requiring us to be always engaged.
  • Policymaking is done by policymakers, but many are unelected and the division between policy maker/ influencer is often unclear. So, should you seek to influence policy by influencing influencers?
  1. Respond to ‘rational’ and ‘irrational’ thought.

Comprehensive rationality’ describes the absence of ambiguity and uncertainty when policymakers know what problem they want to solve and how to solve it, partly because they can gather and understand all information required to measure the problem and determine the effectiveness of solutions.

Instead, we talk of ‘bounded rationality’ and how policymakers deal with it. They employ two kinds of shortcut: ‘rational’, by pursuing clear goals and prioritizing certain kinds and sources of information, and ‘irrational’, by drawing on emotions, gut feelings, deeply held beliefs, habits, and familiarity, make decisions quickly.

I say ‘irrational’ provocatively, to raise a key strategic question: do you criticise emotional policymaking (describing it as ‘policy based evidence’) and try somehow to minimise it, adapt pragmatically to it, or see ‘fast thinking’ more positively in terms of ‘fast and frugal heuristics’? Regardless, policymakers will think that their heuristics make sense to them, and it can be counterproductive to simply criticise their alleged irrationality.

  1. Think about how to engage in complex systems or policy environments.

Policy cycle’ describes the idea that there is a core group of policymakers at the ‘centre’, making policy from the ‘top down’, and pursuing their goals in a series of clearly defined and well-ordered stages, such as: agenda setting, policy formulation, legitimation, implementation, and evaluation. In this context, one might identify how to influence a singular point of central government decision.

However, a cycle model does not describe policymaking well. Instead, we tend to identify the role of less ordered and more unpredictable complex systems, or policy environments containing:

  • A wide range of actors (individuals and organisations) influencing policy at many levels of government. Scientists and practitioners are competing with many actors to present evidence in a particular way to secure a policymaker audience.
  • A proliferation of rules and norms maintained by different levels or types of government. Support for particular ‘evidence based’ solutions varies according to which organisation takes the lead and how it understands the problem.
  • Important relationships (‘networks’) between policymakers and powerful actors. Some networks are close-knit and difficult to access because bureaucracies have operating procedures that favour particular sources of evidence and some participants over others, and there is a language – indicating what ways of thinking are in good ‘currency’ – that takes time to learn.
  • A tendency for certain ‘core beliefs’ or ‘paradigms’ to dominate discussion. Well-established beliefs provide the context for policymaking: new evidence on the effectiveness of a policy solution has to be accompanied by a shift of attention and successful persuasion.
  • Policy conditions and events that can reinforce stability or prompt policymaker attention to lurch at short notice. In some cases, social or economic ‘crises’ can prompt lurches of attention from one issue to another, and some forms of evidence can be used to encourage that shift, but major policy change is rare.

These factors suggest that an effective engagement strategy is not straightforward: our instinct may be to influence elected policymakers at the ‘centre’ making authoritative choices, but the ‘return on investment’ is not clear. So, you need to decide how and where to engage, but it takes time to know ‘where the action is’ and with whom to form coalitions.

  1. Recognise that EBPM is only one of many legitimate ‘good governance’ principles.

There are several principles of ‘good’ policymaking and only one is EBPM. Others relate to the value of pragmatism and consensus building, combining science advice with public values, improving policy delivery by generating ‘ownership’ of policy among key stakeholders, and sharing responsibility with elected local policymakers.

Our choice of which principle and forms of evidence to privilege are inextricably linked. For example, some forms of evidence gathering seem to require uniform models and limited local or stakeholder discretion to modify policy delivery. The classic example is a programme whose value is established using randomised control trials (RCTs). Others begin with local discretion, seeking evidence from service user and local practitioner experience. This principle seems to rule out the use of RCTs. Of course, one can try to pursue both approaches and a compromise between them, but the outcome may not satisfy advocates of either approach or help produce the evidence that they favour.

  1. Decide how far you’ll go to achieve EBPM.

These insights should prompt us to see how far we are willing, and should, go to promote the use of certain forms of evidence in policymaking. For example, if policymakers and the public are emotional decision-makers, should we seek to manipulate their thought processes by using simple stories with heroes, villains, and clear but rather simplistic morals? If policymaking systems are so complex, should we devote huge amounts of resources to make sure we’re effective? Kathryn Oliver and I also explore the implications for proponents of scientific evidence, and there is a live debate on science advice to government on the extent to which scientists should be more than ‘honest brokers’.

Where we go from there is up to you

The value of policy theory to this topic is to help us reject simplistic models of EBPM and think through the implications of more sophisticated and complicated processes. It does not provide a blueprint for action (how could it?), but instead a series of questions that you should answer when you seek to use evidence to get what you want. They are political choices based on value judgements, not issues that can be resolved by producing more evidence.

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The theory and practice of evidence-based policy transfer: can we learn how to reduce territorial inequalities?

I am now part of a large EU-funded Horizon2020 project called IMAJINE (Integrative Mechanisms for Addressing Spatial Justice and Territorial Inequalities in Europe), which begins in January 2017. It is led by Professor Michael Woods at Aberystwyth University and has a dozen partners across the EU. I’ll be leading one work package in partnership with Professor Michael Keating.

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The aim in our ‘work package’ is deceptively simple: generate evidence to identify how EU countries try to reduce territorial inequalities, see who is the most successful, and recommend the transfer of that success to other countries.

Life is not that simple, though, is it?! If it were, we’d know for sure what ‘territorial inequalities’ are, what causes them, what governments are willing to do to reduce them, and if they’ll succeed if they really try.

Instead, here are some of the problems you encounter along the way, including an inability to identify:

  • What policies are designed explicitly to reduce inequalities. Instead, we piece together many intentions, actions, instruments, and outputs, in many levels and types of government, and call it ‘policy’.
  • The link between ‘policy’ and policy outcomes, because many factors interact to produce those outcomes.
  • Success. Even if we could solve the methodological problems, to separate cause and effect, we face a political problem about choosing measures to evaluate and report success.
  • Good ways to transfer successful policies. A policy is not like a #gbbo cake, in which you can produce a great product and give out the recipe. In that scenario, you can assume that we all have the same aims (we all want cake, and of course chocolate is the best), starting point (basically the same shops and kitchens), and language to describe the task (use loads of sugar and cocoa). In policy, governments describe and seek to solve similar-looking problems in very different ways and, if they look elsewhere for lessons, those insights have to be relevant to their context (and the evidence-gathering process has to fit their idea of good governance). They also ‘transfer’ some policies while maintaining their own, and a key finding from our previous work is that governments simultaneously pursue policies to reduce inequalities and undermine their inequality-reducing policies.

So, academics like me tend to spend their time highlighting problems, explaining why such processes are not ‘evidence-based’, and identifying all the things that will go wrong from your perspective if you think policymaking and policy transfer can ever be straightforward.

Yet, policymakers do not have this luxury to identify problems, find them interesting, then go home. Instead, they have to make decisions in the face of ambiguity (what problem are they trying to solve?), uncertainty (evidence will help, but always be limited), and limited time.

So, academics like me are now focused increasingly on trying to help address the problems we raise. On the plus side, it prompts us to speak with policymakers from start to finish, to try to understand what evidence they’re interested in and how they’ll use it. On the less positive side (at least if you are a purist about research), it might prompt all sorts of compromises about how to combine research and policy advice if you want policymakers to use your evidence (on, for example, the line between science and advice, and the blurry boundaries between evidence and advice). If you are interested, please let me know, or follow the IMAJINE category on this site (and #IMAJINE).

See also:

New EU study looks at gap between rich and poor

New research project examines regional inequalities in Europe

Understanding the transfer of policy failure: bricolage, experimentalism and translation by Diane Stone

 

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