Coco died yesterday, peacefully, at home, with people who loved her. She had a short but good life. She was lovely.
Coco died yesterday, peacefully, at home, with people who loved her. She had a short but good life. She was lovely.
This post first appeared on the CCC blog.
In his chapter for the Oxford Handbook of Scottish Politics, Paul Cairney examines the alleged distinctiveness of Scottish policymaking. These comparisons tend to be with UK government, which ignores the opportunity for wider comparative assessment.
The phrase ‘Scottish approach’ is one of several descriptions of the distinctiveness of Scottish Government policymaking.
First, academics use the phrase ‘Scottish policy style’ to describe the Scottish Government’s reputation for two practices: a consultation style with stakeholders that is relatively inclusive and consensual; and, a governance style that places unusually high levels of trust in the public bodies that deliver policy.
Second, the first Scottish Government Permanent Secretary John Elvidge used the phrase ‘Scottish model of government’ to describe the potential for joined-up or ‘holistic’ government. The model would exploit its relatively small size, and central position in a dense network of public sector and third sector bodies. Ministers and their equivalents in the civil service would have briefs spanning traditional departmental boundaries and come together regularly to coordinate national strategies. They would foster a long-term focus on policy outcomes and reject a tendency to set restrictive and damaging short-term targets. For example, the National Performance Framework (NPF) identifies a broad purpose and strategic objectives which map on to performance measures and agreements with public sector bodies to align their objectives with the NPF.
Third, his successor Peter Housden took forward the ‘Scottish Approach to Policymaking’ with reference to three broad principles: to seek improvement in public services via collaborative government; to focus on people’s ‘assets’ (rather than ‘deficits’) when designing policy; and to co-produce policy with the public sector, stakeholders, and service users.
Overall, the ‘Scottish approach’ began as a broad idea about how to govern by consensus in a new era of devolved politics, then developed into a way to pursue: holistic government, an outcomes-based measure of policy success, greater local authority discretion in the delivery of national objectives, and several governance principles built primarily on localism and the further inclusion of service users in the design of public policy.
Is the ‘Scottish approach’ distinctive?
The claim to Scottish distinctiveness tends to relate to a contrast with UK policymaking, which is problematic in two main ways.
First, it downplays the importance of international trends which influence UK and Scottish government. For example, most of these policymaking aims are summed up in the phrase ‘new public governance’ (NPG). NPG describes an international shift of ideas to seek alternatives to the relatively top-down and centralist ‘new public management’ (NPM), and it includes the emphasis on coproduction and collaboration so central to Scottish Government rhetoric.
Second, the Scottish and UK governments both face similar pressures that contribute to rather contradictory policymaking styles. On the one hand, they act pragmatically to recognise the limits to central government powers and harness the benefits of working in partnership with other bodies. On the other hand, they must project an image of governing competence based on strong central control. The overall result in both governments is a tendency to juggle two very different approaches to policymaking.
The chapter discusses two key examples of this contradiction at the heart of policymaking.
The first is a focus on ‘evidence based policymaking’. Each government juggles three ways to use evidence to inform policy and practice: a centralised model, a decentralised model, and a compromise model to combine both elements.
The second example relates these approaches to leadership, in which each model fosters different skills, such as to manage change from the top down, or ‘let go’ and foster collaboration, or provide a mix of direction and encouragement. In each case, the need to maintain democratic accountability via national governments creates a series of potential contradictions, in which policy is driven by the centre but in partnership with local bodies; encouraging those bodies to experiment and take risks, but also intervening to manage risk.
It concludes that the ‘Scottish approach’ should be seen primarily as ‘a statement of aspiration; an attempt to put distance between the Scottish Government and its image of UK government policymaking’. For any government, there is always a major gap between such aspirations and policymaking reality.
The ‘Scottish Approach to Policy Making’ was published in The Oxford Handbook of Scottish Politics in August 2020 in the UK and Europe by the Oxford University Press.
Today’s equivalent is: how long ago could you have predicted that people would accuse the Scottish Government First Minister of having secret hairdos during a global pandemic?
How far ahead can we make accurate and detailed political predictions? I propose the Gerry Adams Novelty Mugs on Twitter Test. We ask: how many years ago could you have predicted that Gerry Adams would be tweeting about novelty mugs?
We could probably have made that prediction, say, a year ago based on his whimsical twitter style. However, think about the difficulties in going further back, say 5-10 years, to consider the role of the rise of social media and its confluence with Adams’ new position in the political landscape. Then, consider that Adams’ case is relatively simple, compared to the interaction between a wide range of actors, institutions, socioeconomic conditions and events which produce political changes. In short, the test is there to remind us to be wary of people claiming to have the political equivalent of clairvoyance.
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Please see our Vacancy page for the details: https://www.stir.ac.uk/about/work-at-stirling/list/details/?jobId=2353&jobTitle=Lecturer%20in%20Public%20Policy
I am the pre-interview contact point and these are my personal thoughts on that process, which blend background information and some helpful advice. These notes are also there to address a potentially major imbalance in the informal side to recruitment: if you do not have the contacts and networks that help give you the confidence to seek information (on the things not mentioned in the further particulars), here is the next best thing: the information I would otherwise give you on the phone.
This approach is also handy under the current circumstances, in which (a) the vacancy will run for a short period (deadline: 19th July), while (b) many relevant members of staff are taking ‘annual leave’ (mine is 13-29 July).
In contrast to most of the positions I have described on this blog , this post is temporary (12 months, beginning in September). It is grant funded (IMAJINE) until 2021, with a vacancy arising following the successful departure of Dr Emily St Denny to the University of Copenhagen. As such, the essential criteria and descriptions of teaching are narrower than usual because we are approaching the final year of a 5-year research project and the main teaching responsibility is to lead the MPP programme and core modules. There is a more-than-zero chance of extending the contract, but it would not be responsible of me to raise your hopes. In other words, if thinking about applying, you should assume that the post is temporary.
Here are some tips on the application and interview processes.
The application process:
The interview process
The shortlisting is on the 30th July. All going well, you will know if you have reached the interview stage by the 31st. The interviews will take place on the 5th August (morning).
By the interview stage, you should have a conversation with me to make sure that you are well prepared. For example, here are the things that you really should know at that stage:
Perhaps most importantly, you need to be able to articulate why you want to come and work at Stirling. ‘Why Stirling?’ or ‘Why this division?’ is usually the first question in an interview, so you should think about it in advance. We recommend doing some research on Stirling and the division/ faculty, to show in some detail that you have a considered reply (beyond ‘it is a beautiful campus’). We will see through a generic response in a heartbeat and, since it is the first question, your answer will set the tone for the rest of the interview. You might check, for example, who you might share interests with in the Division, and how you might develop links beyond the division or faculty, since this is likely to be a featured question too.
[Note: I wrote that text for open-ended posts with much higher stakes and a longer-term focus. With this post, we are likely to focus relatively intensely on specific questions regarding the likely teaching and research, so please do not feel that you should research the history of the University, or conduct a bunch of BBC interviews, as preparation]
The interview format
For open-ended contracts, we tend to combine (a) presentations to divisional (and other interested) staff in the morning, with (b) interviews in the afternoon. However, in this case, I suspect that we will ask you to present briefly to the interview panel. I can let you know when we speak beforehand (and the details will be in the invite). In any case:
It sounds daunting, but we are a friendly bunch and want you to do well. You might struggle to retain all of our names (nerves), so focus on the types of question we ask – for example, the general question to get you started will be from the senior manager. There are often more men than women on the panel (I think this one will be 50-50), and they are often all-white panels, but we are committed to making such routine imbalances a thing of the past.
I am happy to answer your questions. We can try email first – email@example.com – and then phone or skype if you prefer.
NERVTAG is the New and Emerging Respiratory Virus Threats Advisory Group, reporting to PHE (Public Health England).
It began a series of extraordinary meetings on the coronavirus from 13th January 2020 (normally it meets once per year), summarized in Table 1.
In January, it agreed with PHE that the risk to the UK population was ‘very low’, rising to ‘low’ (by this stage, the rate of human-to-human infection was unclear). It focused primarily on (a) developments in the city of Wuhan (population: 11m) and then other parts of China, and (b) advice to UK travellers to China, then (c) giving advice for the NHS on how to define a case of COVID-19 in relation to symptoms (primarily fever) and a history of travel to an affected area. From the end of January, it began to discuss personal protective equipment (PPE) frequently, without describing the need to modify PHE advice significantly (and was not responsible for securing supply).
In February, it agreed (on the 21st) that the risk to the UK population was ‘moderate’. It responded to questions from COBR (Cabinet Office civil contingencies committee, convened to discuss national emergencies) on the most effective public preventive efforts, prioritizing frequent and effective hand washing and advising against face masks for members of the public with no symptoms. In response to questions from the Department of Health and Social Care (DHSC), it described a ‘Reasonable Worst Case’ in the UK (to inform scenario modelling) as an 85% infection of the population, with half of those affected showing symptoms, then suggested that an estimate of 4% (of those with symptoms) needing hospital care ‘seems low’, while 25% (of the 4%) requiring respiratory support ‘seems high’.
In March, it advised that voluntary self-isolation should be 7-14 days after ‘illness onset’, depending ‘on desired balance between containment and social disruption at the particular stage of the epidemic’. It should be longer during the ‘containment’ phase (‘In the current situation NERVTAG would prefer this period to be towards the longer end of the range’) but could be shorter when transmission is so widespread that someone infected represents a decreasing share of the infected population (‘an increased proportion of people may still be infectious when they end self-isolation but they will constitute a decreasing proportion of all infectious people’, 6.3.20: 2).
Throughout, members of NERVTAG focused quite heavily on what seemed feasible to suggest, informing initial thoughts on:
[Note: please use the PDF if the tables look a bit weird below]
Kat Smith and Paul Cairney
The COVID-19 pandemic is shining a light on the roles that evidence and expertise can play in policy and practice. Understanding the nature of these debates, and developing tools to help decision-makers navigate them, is the focus of the Evidence & Policy community. In this post, we consider how our reflections on the field’s key insights help us understand the role evidence is playing in the UK’s response to the current pandemic:
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Kat Smith and Paul Cairney
This new blog helps make the insights within Evidence & Policy accessible to all. In this opening post, the current Editors reflect on what they feel are some of the key insights about the interplay between evidence and policy:
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I was going at 60mph on the M8 East. Fast enough to be life threatening, but not fast enough to stop a car from overtaking and hitting my front wheel before it sped off. I broke my helmet and my wrist, which never fully recovered. Later on, the doctors gave me morphine and the nurses told me I was lucky to be alive.
For some reason, I thought of my baby daughter and vowed to give up the bike before deciding to crawl off the road. I still remember that split second to this day. If I wake up in the middle of the night to think about it, it’s mostly to relive that moment.
The rest is a blur. I remember the car’s motion but not the car. I remember that a man stopped traffic with his car, to give me time to move. I remember he took me to hospital, but not who he was or what he looked like. I don’t know if I thanked him, and thats the second thing I wake up to think about.
You see, I really want to make sure that I thanked him and that he knows I’m grateful. What are the chances that he might read this and remember, or that he told someone his story and they remember?
‘Policy analysis’ describes the identification of a policy problem and possible solutions.
Classic models of policy analysis are client-oriented. Most texts identify the steps that a policy analysis should follow, from identifying a problem and potential solutions, to finding ways to predict and evaluate the impact of each solution. Each text describes this process in different ways, as outlined in Boxes 1-5. However, for the most part, they follow the same five steps:
Further, they share the sense that analysts need to adapt pragmatically to a political environment. Assume that your audience is not an experienced policy analyst. Assume a political environment in which there is limited attention or time to consider problems, and some policy solutions will be politically infeasible. Describe the policy problem for your audience: to help them see it as something worthy of their energy. Discuss a small number of possible solutions, the differences between them, and their respective costs and benefits. Keep it short with the aid of visual techniques that sum up the issue concisely, to minimise cognitive load and make the problem seem solvable.
This is an excerpt from The Politics of Policy Analysis, found here: https://paulcairney.wordpress.com/policy-analysis-in-750-words/
The idea of a ‘policy entrepreneur’ is important to policy studies and policy analysis.
Let’s begin with its positive role in analysis, then use policy studies to help qualify its role within policymaking environments.
The take-home-messages are to
Entrepreneurship and policy analysis
He expands on these ideas further in So you want to be a policy entrepreneur?:
“Policy entrepreneurs are energetic actors who engage in collaborative efforts in and around government to promote policy innovations. Given the enormous challenges now facing humanity, the need is great for such actors to step forward and catalyze change processes” (Mintrom, 2019: 307).
Although many entrepreneurs seem to be exceptional people, Mintrom (2019: 308-20) identifies:
Overall, entrepreneurship is ‘tough work’ requiring ‘courage’, but necessary for policy disruption, by: ‘those who desire to make a difference, who recognize the enormous challenges now facing humanity, and the need for individuals to step forward and catalyze change’ (2019: 320; compare with Luetjens).
Entrepreneurship and policy studies
It is common to relate entrepreneurship to stories of exceptional individuals and invite people to learn from their success. However, the logical conclusion is that success is exceptional and most policy actors will fail.
A focus on key skills takes us away from this reliance on exceptional actors, and ties in with other policy studies-informed advice on how to navigate policymaking environments (see ‘Three habits of successful policy entrepreneurs’, these ANZSOG talks, and box 6.3 below)
However, note the final sentence, which reminds us that it is possible to invest a huge amount of time and effort in entrepreneurial skills without any of that investment paying off.
The other side of the entrepreneurship coin is the policymaking environment in which actors operate.
Policy studies of entrepreneurship (such as Kingdon on multiple streams) rely heavily on metaphors on evolution. Entrepreneurs are the actors most equipped to thrive within their environments (see Room).
However, Kingdon uses the additional metaphor of ‘surfers waiting for the big wave’, which suggests that their environments are far more important than them (at least when operating on a US federal scale – see Kingdon’s Multiple Streams Approach).
Entrepreneurs may be more influential at a more local scale, but the evidence of their success (independent of the conditions in which they operate) is not overwhelming. So, self-aware entrepreneurs know when to ‘surf the waves’ or try to move the sea.
Many studies of entrepreneurs highlight the stories of tenacious individuals with limited resources but the burning desire to make a difference.
The alternative story is that political resources are distributed profoundly unequally. Few people have the resources to:
Therefore, when focusing on entrepreneurial policy analysis, we should encourage the development of a suite of useful skills, but not expect equal access to that development or the same payoff from entrepreneurial action.
Compare these skills with the ones we might associate with ‘systems thinking‘
If you want to see me say these depressing things with a big grin:
I am redesigning the 750 words page. This is the old version.
The posts in this new series summarise key texts in policy analysis. They present the most common advice about how to ‘do’ policy analysis (to identify a policy problem and possible solutions) and situate this advice within the study of politics, power, and public policy.
This combination of ‘how to’ advice and ‘what actually happens’ research allows you to produce policy analyses and reflect on the political and pragmatic choices you need to make. Policy analysis is not a ‘rational’ or ‘technocratic’ process and we should not pretend otherwise. Rather, our aim in this series is to understand policy analysis through the lens of the policy theories that highlight:
I then add theme (5): Reflecting on your role as a policy analyst.
In each case, I prompt you to reflect on how (a) your knowledge of politics and policy processes, informs (b) the strategies you adopt when constructing policy analysis. The following description is a long read, but I think it provides essential context that could make the difference between effective and ineffective analysis. My MPP students can also note that this page is the same number of words as the policy analysis/ reflection exercise.
Modern discussions also incorporate insights from psychology to understand (a) how policymakers might combine cognition and emotion to reduce uncertainty and ambiguity, to understand problems, and therefore (b) how to communicate effectively when presenting policy analysis. This process is about the power to reduce ambiguity rather than simply the provision of information to reduce uncertainty.
In turn, problem definition influences assessments of the – technical and political -feasibility of solutions, and the ways in which actors will frame any evaluation of policy success.
2. How does your chosen solution relate to existing policies?
Although you may propose the adoption of one (or more) policy instrument, it will likely add to many others. Governments already combine a large number of instruments to make policy, including legislation, expenditure, economic incentives and penalties, education, and various forms of service delivery. Those instruments combine to represent a complex policy mix whose overall effects are not simple to predict. This interaction provides essential context, particularly if you are asked to provide, say, a simple logic model or ‘theory of change’ to describe the likely impact of your new solution.
3. Who is your audience, and what can you realistically expect them to do?
For example, imagine writing policy analysis in the ideal-type world of a single powerful ‘comprehensively rational’ policymaker at the heart of an orderly policy cycle. Your analysis would be relatively simple, and you would not need to worry about what happens after you make a recommendation for policy change. You could focus on widely-used tools such as cost-benefit analysis and know where the results would feed into the policy process. I have perhaps over-egged this ideal-type pudding, but I think a lot of traditional policy analysis buys into this basic idea and focuses primarily on the science of analysis rather than the political policymaking context in which it takes place.
Then imagine a far messier and less predictable world in which the nature of the policy issue is highly contested, responsibility for policy is unclear, and no single ‘centre’ has the power to turn a recommendation into an outcome. This image is a key feature of policy process theories, which describe:
What would you recommend under these conditions? The terms of your cost-benefit analysis would be contested (at least until there is agreement on what the problem is, and how you would measure the success of a solution). Further, even the most sophisticated ‘evidence based’ analysis of a policy problem will fall flat if uninformed by good analysis of the policy process.
Note that these problems amplify the limitations to policy analysis that are more likely to be described in this series. For example, Weimer and Vining invest about 200 pages in economic analyses of markets and government, often highlighting a gap between (a) our ability to model and predict economic and social behaviour, and (b) what actually happens when governments intervene. To this, we should add the gap between policymakers’ formal responsibilities versus actual control of policy processes and outcomes.
4. Who should be involved in the process of policy analysis?
Think of two visions for policy analysis. It should be primarily (1) ‘evidence based’ or (2) ‘coproduced’. While these choices are not mutually exclusive, there are key tensions between them that should not be ignored, such as when we ask:
Perhaps we can only produce a sensible combination of the two if we clarify their often very different implications for policy analysis. Let’s begin with one story for each (see also Approach 1 versus Approach 2) and see where they take us.
One story of ‘evidence based’ policy analysis is that it should be based on the best available evidence of ‘what works’. Often, the description of the ‘best’ evidence relates to the idea that there is a notional hierarchy of evidence (according to the research methods used). At the top would be the systematic review of randomised control trials, and nearer the bottom would be expertise, practitioner knowledge, and stakeholder feedback. This kind of hierarchy has major implications for policy learning and transfer, such as when importing policy interventions from abroad or ‘scaling up’ domestic projects. Put simply, the experimental method is designed to identify the causal effect of a very narrowly defined policy intervention. Its importation or scaling up would be akin to the description of medicine, in which the evidence suggests the causal effect of a specific active ingredient to be administered with the correct dosage. A very strong commitment to a uniform model precludes the processes we might associate with co-production, in which many voices contribute to a policy design to suit a specific context.
One story of ‘co-produced’ policy analysis is that it should be ‘reflexive’ and based on respectful conversations between a wide range of policymakers and citizens. Often, the description is of the diversity of valuable policy relevant information, with scientific evidence considered alongside community voices and normative values. This rejection of a hierarchy of evidence also has major implications for policy learning and transfer. Put simply, a co-production method is designed to identify the positive effect – widespread ‘ownership’ of the problem and commitment to a commonly-agreed solution – of a well-discussed intervention, often in the absence of central government control. Its use would be akin to a collaborative governance mechanism, in which the causal mechanism is perhaps the process used to foster agreement (including to produce the rules of collective action and the evaluation of success) rather than the intervention itself. A very strong commitment to this process precludes the adoption of a uniform model that we might associate with narrowly-defined stories of evidence based policymaking.
5. Reflecting on your role as a policy analyst
If we take insights from policy theories seriously, we need to incorporate them into policy analysis, to consider policymaker psychology and policymaking context alongside the tools of policy analysis. We also need to consider the role of societal and professional values during the production of policy analysis. In other words, consider the limits to your influence and the ethics of your task.
In that context, I have begun to create a story of policy analysis archetypes to help explain this point in context:
These descriptions allow you to reflect on your role, as part of a wider political or policymaking system:
The initial list of texts
My aim is to summarise the texts below (based initially on a module guide by Dr Raul Pacheco-Vega and any further suggestions you may have) and incorporate this analysis into the draft document How to write theory-driven policy analysis. See also Writing a Policy Paper. The reference has a weblink when a summary is available.
Eugene Bardach and Erik Patashnik (2015) A Practical Guide for Policy Analysis 5th ed. (International Edition) (CQ Press)
Geva-May, I. (2005) ‘Thinking Like a Policy Analyst. Policy Analysis as a Clinical Profession’, in Geva-May, I. (ed) Thinking Like a Policy Analyst. Policy Analysis as a Clinical Profession (Basingstoke: Palgrave) (scroll down after Radin) (see also Policy analysis as a clinical profession)
Please let me know if you see some weird omissions from the list. They should give advice about policy analysis rather than describe the policy process (the latter are covered in the 1000 words and 500 word policy theories series). That said, these are some of the books that I use to widen-out the definition of policy analysis books:
Linda Tuhiwai Smith (2012) Decolonizing Methodologies (London: Zed Books) (also discusses Lorde, Santos)
‘New institutionalism’ describes regular patterns of behaviour and the rules, norms, practices, and relationships that influence such behaviour. This influence can range from direct enforcement by the state to an individual’s perception of a need to conform to norms.
Institutions can be formal, well understood, and written down (such as when enshrined in a constitution, legislation, or regulations).
They can also be informal, unwritten, and difficult to identify or understand by people outside of an organisation. They ‘exist in the minds of the participants and sometimes are shared as implicit knowledge rather than in an explicit and written form’ (Ostrom, 2007: 23). Therefore, the rules followed implicitly may contradict the rules described explicitly.
Feminist research helps us understand the relationship between such institutions and power, to advance ‘the empowerment of women and transformation of patriarchal social institutions through research’.
If we understand institutions broadly as formal rules and informal norms, we can find many ways in which to explore the existence and enforcement of inequalities, such as by:
In other words, such action can involve the direct and visible exercise of power, often reflected in the formal rules of political systems. Or, it can be part of the ‘hidden life of institutions’ that requires much more analysis and effort to see and challenge.
Such insights help to advance other common variants of new institutionalism, including:
Crucially, these insights also help us understand the expectations- or implementation-gaps that arise when people try to reform political practices and policymaking in complex or multi-centric systems. A policy change such as gender mainstreaming may seem straightforward and instant when viewed in relation to formal institutions, such as a statutory duty combined with a strategic plan adopted across government. However, it also represents the first step in a highly uncertain and problematic process to address the informal, unwritten, ill-understood, everyday, taken-for-granted (and often fiercely guarded) sources of inequality that are reflected in policy and practice as a whole.
By Paul Cairney (University of Stirling, blue shirt), John Boswell (University of Southampton, check), Richard Gleave (Public Health England, tie), and Kathryn Oliver (London School of Hygiene and Tropical Medicine, black jacket). This post first appeared on the University of Stirling public policy blog and University of Bristol IEUREKA! blog.
On the 12th June, at the invitation of Richard Gleave (Deputy Chief Executive and Chief Operating Officer, PHE), Professor Paul Cairney (University of Stirling) and Dr John Boswell (University of Southampton) led a discussion on ‘institutionalising’ preventive health with senior members of PHE. It follows a similar event in Scotland, to inform the development of Public Health Scotland, and the PHE event enjoyed contributions from key members of NHS Health Scotland. Cairney and Boswell drew on their published work – co-authored with Dr Kathryn Oliver (London School of Hygiene and Tropical Medicine) and Dr Emily St Denny (University of Stirling) – to examine the role of evidence in policy and the lessons from comparable experiences in other public health agencies (in England, New Zealand and Australia). This post summarises their presentation and reflections from the workshop (gathered using the Chatham House rule).
The Academic Argument
Governments face two major issues when they try to improve population health and reduce health inequalities:
Our research provides three messages to inform policy and practice:
Overall, they warn against treating any response – (a) the idiom ‘prevention is better than cure’, (b) setting up a public health agency, or (c) seeking ‘evidence based policy’ – as a magic bullet. Major public health changes require policymakers to define their aims, and agencies to endure long enough to influence policy and encourage the consistent use of models of evidence-informed policy. To do so, they may need to act like prevention ninjas, operating quietly and out of the public spotlight, rather than seeking confrontation and speaking truth to power.
The Workshop Discussion
The workshop discussion highlighted an impressive level of agreement between the key messages of the presentation and the feedback from most members of the PHE audience.
One aspect of this agreement was predictable, since Boswell et al’s article describes PHE as a relative success story and bases its analysis of prevention ‘ninjas’ on interviews with PHE staff. However, this strategy is subject to frequent criticism. PHE has to manage the way it communicates with multiple audiences, which is a challenge in itself. One key audience is a public health profession in which most people see their role as to provoke public debate, shine a light on corporate practices (contributing to the ‘commercial determinants of health’), and criticise government inaction. In contrast, PHE often seeks to ensure that quick wins are not lost, must engage with a range of affected interests, and uses quiet diplomacy to help maintain productive relationships with senior policymakers. Four descriptions of this difference in outlook and practice stood out:
There was also high agreement on how to understand the idea of ‘evidence based’ or ‘evidence informed’ policymaking (EBPM). Most aspects of EBPM are not really about ‘the evidence’. Policy studies often suggest that, to improve evidence use requires advocates to:
In other words, political science-informed policy studies, and workshop discussions, highlighted the need for evidence advocates to accept that they are political actors seeking to win policy arguments, not objective scientists simply seeking the truth. Scientific evidence matters, but only if its advocates have the political skills to know how to communicate and when to act.
Although there was high agreement, there was also high recognition of the value of internal reflection and external challenge. In that context, one sobering point is that, although PHE may be relatively successful now (it has endured for some time), we know that government agencies are vulnerable to disinvestment and major reform. This vulnerability underpins the need for PHE staff to recognise political reality when they pursue evidence-informed policy change. Put bluntly, they often have to strike a balance between two competing pressures – being politically effective or insisting on occupying the moral high ground – rather than assuming that the latter always helps the former.
Why is the presence of Boris Johnson so important to the prospect of Scottish independence? Why is it so important to the fate of the Scottish Conservatives? How are both questions connected?
One way to answer these questions is to think back to the relative success of the Scottish Conservatives in the most recent elections in Westminster and Holyrood. During this period, the party’s Scottish strategy was simple and effective:
Another is to remember that some key UK factors helped facilitate this approach:
In that context, think about the extent to which any of these factors now hold:
Put more simply, the person in charge of telling the SNP not to be so gung ho, unreasonable, or obsessed with national identity and independence from an external authority, will be Boris Johnson.
Two ginger guys have won an award.
Competition winners pictured: Madeleine Pill, Valeria Guarneros-Meza, Christopher M. Weible & Paul Cairney
Written by Sarah Ayres, Steve Martin and Felicity Matthews, Co-Editors of Policy & Politics
The Bleddyn Davies Best Early Career prize has been awarded to: Madeleine Pill and Valeria Guarneros-Meza for their article on Local governance under austerity: hybrid organisations and hybrid officers
In this excellent paper, Madeleine Pill & Valeria Guarneros-Meza explore what austerity means for participation in city governance.
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Most policy theories in this series begin with reference to bounded rationality. Policymakers and influencers can only process a tiny proportion of all policy relevant information. They must find ways to limit their attention, to make choices under political and time pressures. They combine cognition and emotion, or rational and irrational shortcuts. Actors also exercise power to frame issues, to focus the attention of their audience to specific information and ways to interpret issues.
Narrative can be an effective means to that end, but the stories that we tell people compete with the stories they tell to themselves. The same story can motivate some audiences, if it chimes with their beliefs or pulls their heartstrings, but backfire in others, if it grates with their view of the world.
Empirical NPF studies suggest that narrators are effective when they:
They also compete with others, using stories to: ‘socialise’ or ‘privatise’ issues, romanticize their own coalition’s aim while demonizing others, or encourage governments to distribute benefits to heroic target populations and punishments to villains.
However, narrator success also depends on the audience and context. Particular narratives may only be influential during a window of opportunity in which the audience is receptive to the story, or when the story fits with the audience’s beliefs (think of the same message to left and right wing populations). Indeed, NPF studies suggest that the stories with the biggest short-term impact were on the audiences predisposed to accept them.
It may not seem important that stories have most impact when telling people what they already think, but it could make the difference between thought and action, such as when people turn out to vote or prioritise one problem at the expense of the rest. We may struggle to persuade people to change their minds, but we can encourage them to act by focusing their attention to one belief over another.
Follow up reading
As described, the NPF does not seem too controversial: people tell stories to themselves and each other, and persuasive stories really matter to policymaking. However, note the wider debate about the implications of the NPF’s ‘positivist’ approach in a field often characterised as ‘post-positivist’. This debate – for example in Critical Policy Studies – is a great way into some profound academic differences about (a) the nature of the world, (b) how we can gather knowledge of it, and (c) the methods we should use.
Updated for 2018
I kept two silly metrics going this year (while – genuinely – forgetting about the 3p thing in the original post), so it’s £276 (just in case) from this site and £288 from this offer:
I gave the £554 to Hope not Hate. Again, please feel free to set up your own website if you’d like to comment on my choice.
If you’ve come this far, I’d like you to indulge my obsession with the stats on this site (e.g. help me to put my fingers in my ears and shout La La La a lot, to avoid someone telling me that web-traffic stats are no more reliable than…
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