EvidenceBased Policy - PowerPoint PPT Presentation

1 / 24
About This Presentation
Title:

EvidenceBased Policy

Description:

3. Can better use of 'evidence' help bridge this gap? ... These people wrestle with everyday problems of effectiveness and implementation, ... – PowerPoint PPT presentation

Number of Views:42
Avg rating:3.0/5.0
Slides: 25
Provided by: Bri8181
Category:

less

Transcript and Presenter's Notes

Title: EvidenceBased Policy


1
Evidence-Based Policy
Australian Research Alliance for Children Youth
Brian Head Professor of Governance Griffith
University Public Policy Network
conference Curtin University, Perth, 2-3
February 2006
2
Overview
  • -- 1. Background history of linkages between
    Public Policy and Social Science research
  • -- 2. How can social research be made more
    relevant?
  • (and for whom?)
  • -- 3. Can better use of evidence help bridge
    this gap?
  • (and is it evidence-based or
    evidence-informed?)
  • -- 4. Types of knowledge political/scientific/pr
    actical etc.
  • -- 5. Should evidence-based approach focus on
    filling gaps in knowledge?
  • OR framing issues and questions (the role of
    values, public communication, professional
    judgement)
  • -- 6. What do networks and collaboration
    contribute?
  • -- 7. Dealing with complexity and conflict
  • -- 8. Conclusion limits on evidence-based
    analysis

3
Public policy and social science where does
evidence-based policy come from?
  • General history of mutual distrust between
    government sector social science researchers
  • In earlier centuries there was greater scope for
    governmental reliance on appeals to (a)
    authority (b) precedent/tradition and (c)
    fundamental values.
  • But a growing governmental usage of social
    information technical knowledge since 19th
    century.
  • Tied to rational secular notions of progress
    and development.
  • This in turn fuelled expansion of social sciences
    and their increased prestige.
  • Question are the Improvement agenda and
    technocratic social control two sides of same
    coin? a la Foucault.

4
Towards relevance
  • Modern governments now seek to anchor much of
    their policy/program stance in relevant
    knowledge (usable knowledge)
  • Evidence-based policy analysis and research is
    now seen, by govts and by social researchers, as
    especially relevant and useful.
  • This is linked to modern emphasis on
  • -- problem-solving
  • -- risk analysis response
  • -- focus on what works? (perhaps the most
    frequent question in modern applied sciences)
  • Are some disciplinary frameworks more
    valued/useful? e.g. public health cost/benefit
    economics financial auditing analysis (vis-à-vis
    sociology and cultural studies and history?)

5
The governmental context
  • Govts do not simply receive and use research
    they have direct indirect means for influencing
    social sciences.
  • Direct methods of influence include
  • -- investing in govt-funded research units on
    specific themes/problems
  • -- managing policy-research functions inside govt
    agencies
  • -- commissioning specific research under
    contract.
  • Indirect methods include
  • -- setting national priority areas (e.g. for
    competitive research funds)
  • -- providing higher rewards for commercial
    technical forms of scientific excellence
  • -- diversifying sources of advice, including
    think-tanks consultants.

6
Relevance for government
  • The rise and promotion of evidence-based
    orientation in modern governments is not
    accidental
  • Evidence-based approaches are supported because
    of their link to governments managerial or
    technocratic interest in efficiency and
    effectiveness
  • -- what options will deliver the goods?
  • -- how to get greater value for money?
  • -- how to promote innovation and competition to
    drive productivity?
  • -- how to better achieve outcomes for clients
    stakeholders? (rather than just managing
    programs)
  • -- in short, what works?

7
Producing, banking managing information
  • Evidence-based approaches claim to fill important
    gaps in data-information-knowledge.
  • Knowledge management strategies have been
    introduced to address responsibilities for
    collection, analysis and dissemination.
  • Management information systems (decision-support)
    have become widespread to monitor key
    indicators/trends
  • Large data sets are systematically collected
  • Who is mining these data for useful information
    to construct usable knowledge? govt research
    units? consultants? universities?
  • How do we identify gaps that need filling (i.e.
    know that we dont know important things)? And
    are we really sure about what we already claim to
    know?

8
Last frontier? tackling wicked problems
  • Longstanding desire to gain greater understanding
    and control over fuzzy and messy realities, not
    just the simpler routine areas of incremental
    adjustment.
  • Linked to frustration over persistence of endemic
    problems, on which massive public funds have been
    spent.
  • Hence massive investment in data gathering and
    benchmarking to measure future performance.
  • Examples of complex challenges
  • -- what works in regard to poverty?
  • -- crime control recidivism?
  • -- preventable diseases?
  • -- drug alcohol abuse?
  • -- indigenous services?

9
Failure in knowledge? or something else?
  • Are endemic social problems a sign of gaps in
    data and basic knowledge?
  • And if we had more social data, would this
    provide the superhighway to good policy
    solutions?
  • Much as we researchers might want to encourage
    investment in information gathering (research
    reports jobs), there are other possibilities
    beside gaps in data
  • poor understanding of the connections between
    various trends/processes?
  • poor understanding of program implementation?
  • poor understanding of stakeholders motives and
    perceptions?
  • poor understanding of how to align and manage
    relations with divergent stakeholders?

10
Types of knowledge in policy analysis
  • Major complication not all knowledge takes the
    form of scientific evidence validated by the
    standards of scientific methodology.
  • Policy rests on several different evidentiary
    bases.
  • Leaving aside the broad milieu of popular culture
    and public opinion, three kinds of knowledge are
    especially important for policy
  • -- political know-how
  • -- scientific and technical information
  • -- practical and professional field experience
  • 1. Political knowledge of strategies,
    agenda-setting, priorities, tactics, ideological
    spin, values, communications, accountability,
    support, trade-offs, etc.
  • This knowledge inheres primarily in
    politicians, parties, organised groups, public
    affairs media, etc but is also widely diffused
    in popular forms among the public.

11
Types of knowledge
  • 2. Scientific (research-based) knowledge of past
    and current conditions and trends, and the causal
    inter-relationships that explain conditions and
    trends.
  • Systematic reviews of what works in a
    particular policy field have been championed, esp
    in healthcare and social programs.
  • There is a preference for behavioural and
    quantitative data, though qualitative materials
    are increasingly included to help explain the
    conditions for change.
  • 3. Practical knowledge of practitioners, field
    managers, program managers and implementers (at
    diverse levels, and in diverse communities of
    practice).
  • These people wrestle with everyday problems of
    effectiveness and implementation, whether in the
    office, the clinic, the prison, the school, the
    farm, the factory etc.

12
Types of knowledge evidence
  • Each of these types has its distinctive protocols
    of knowledge, expertise, strategy, and what
    counts as evidence
  • albeit there is ongoing debate on these matters.
  • How do these 3 forms of knowledge fit together?
    is there a hierarchy (e.g., does politics trump
    science)? is there direct competition? is there
    mutual awareness and recognition? can there be a
    coordination mechanism?
  • How does the evidence-based research component
    add most value? and where does it best fit in the
    policy cycle? (e.g. problem identification,
    options analysis, evaluation and feedback?)
  • How can the practical knowledges be properly
    recognised by policy decision-makers? Arent
    these very important for understanding effective
    implementation?

13
Framing issues and agendas
  • Issues and agendas do not arise from bare facts.
  • Problem-framing and agenda-setting.
  • What is an issue/problem worthy of investigation?
    In practice this is always linked to
  • -- a perception of crisis or urgency
  • -- the role of political mandates and priorities
  • -- the role of professional/managerial judgement
    (public servants, management experts, etc)
  • -- organisational and issue histories
  • -- the shaping of social values public
    opinion.
  • Problem of splits between expert and citizen
    viewpoints on acceptable solutions
  • e.g. experts may be 90 in favour of a
    particular measure, but an intense and vocal
    lobby may create political uncertainty and thus
    stall adoption

14
Problems, issues and agendas
  • Problem-definition is crucial but often
    contentious (e.g. greenhouse responses,
    industrial relations reform).
  • Problem-definition has implications for
    privileging some evidence as relevant and ruling
    out other evidence as irrelevant/ideological etc.
  • This means that some policy positions are
    evidence-proof in the sense that their evidence
    base is narrow and buttressed by political
    commitment
  • Key concepts have social impacts (e.g. thresholds
    for program eligibility poverty, disability,
    refugee, citizen, etc)
  • Problem-definition and focus are very important
    in the commissioning of research and
    consultancies
  • -- relatively few projects are open-ended most
    are commissioned to uphold a certain viewpoint.

15
The challenge of consultative approaches
  • The 1990s saw the rise of policy processes that
    were less technocratic and more open to
    consultative and network approaches.
  • Standard managerialist (NPM) approaches have
    often been supplemented by layers of
  • -- community engagement
  • -- stakeholder consultation
  • -- partnering across sectors (govt - NGOs)
  • This has been accompanied by the rhetoric of
  • -- collaboration
  • -- joined-up services
  • -- networks linking stakeholders
  • -- devolution and empowerment.

16
The why what how of consultative policy
networks
  • Other papers on the rhetoric reality of these
    trends
  • not repeated here.
  • Decision-makers and stakeholders have widely
    variable understandings of these trends and
    opportunities.
  • These divergent frames range across
  • -- participatory democrats who advocate broader
    and deeper channels for community involvement
  • -- governmental opportunists attracted by
    prospect of government becoming more popular by
    listening to citizens stakeholders
  • -- NGOs concerned that consultation/collaboration
    is time-consuming and exhausting, sometimes for
    little gain.

17
Evidence evaluation in networks
  • Much of the policy collaboration and network
    literature is not very useful for considering
    evidence and evaluation frameworks e.g.
  • -- 1. values-based and aspirational or
  • -- 2. practical advice on how to lobby, link,
    connect, or undertake community development
    through local networks/partnerships.
  • What would be required for an evidence-based
    framework to evaluate complex networked policy
    programs?
  • Traditional evaluation frameworks usually focus
    on
  • -- program logic (mapping causal links)
  • -- performance information on deliverables
  • -- auditing financial probity
  • -- cost-effectiveness of options.

18
Implications for evidence
  • Do we need more? What other kinds of evidence
    about what works are important in programs
    involving networked governance for tackling
    complex issues?
  • Three areas seem especially important to clarify
  • 1. Are purposes and directions clearly understood
    and supported by stakeholders? Is divergence well
    handled and adjustments agreed? Perspectives are
    crucial evidence.
  • 2. How effective are the multi-stakeholder
    processes of governance (accountabilities, roles,
    decision-making, resourcing, consulting etc)? Is
    there confidence and trust for long term
    sustainability of arrangements?
  • 3. Are the short/medium/long term outcomes (e.g.
    stages in achieving desired better services)
    specified in a developmental context? Are program
    outcomes sustainable in long-term?

19
Evidence about emergent relations
  • Network approaches aspire to encourage
    innovation new thinking and new solutions
  • Dialogue and debate may help deal with blockages
    arising from differing perspectives.
  • Enhancing capacities, skills, social capital may
    be very important enablers
  • Encouraging long-term thinking about sustainable
    improvements is valuable
  • We need to learn more about the features in
    network relationships that are conducive to
    effective performance (success)
  • Substantial devolution is unlikely.

20
Policy risks of network devolution
  • For government, retaining substantive control
    over policy and programs is always important.
  • Two main reasons for this from a govt
    perspective
  • 1. political needs to optimise political
    benefits of any success, to focus on their own
    political priorities promises, and to minimise
    collateral damage by actions of 3rd parties
  • 2. audit requirements including probity,
    transparency, and accountability for results
    hence the imposition of standards and guidelines
    on NGOs.
  • Conclusion there is a major perceived risk for
    govt in devolving control to NGOs and stakeholder
    networks.

21
Conclusions evidence-based analysis
  • Analysis of data (evidence) in a suitable
    framework helps to answer the question what
    works or the question what happens if we change
    these settings?
  • Policy judgements and decisions are not deduced
    from empirical analysis, but from politics,
    judgement and debate.
  • Interplay of facts, norms desired actions.
  • Evidence and relevant knowledge are diverse and
    contestable. Arguments are mounted to prove a
    position.
  • Some policy positions are data-proof. Only some
    kinds of evidence are noticed in some policy
    contexts.

22
contd
  • Real-life policy problems typically involve
    important differences in perspective among
    decision-makers, stakeholders, etc.
  • It is difficult/impossible to determine who is
    correct (essentially a political communications
    issue). Not just about facts.
  • But we can analyse the likely consequences of the
    preferred policy and other options.
  • Qualitative information on perspectives is
    crucial evidence for policy analysis (how will
    they respond? how much cooperation can be
    expected? have their views been taken into
    account? can better communication assist in
    conflict-resolution?)

23
contd
  • Arguments about evidence are part of the
    skill-set needed by analysts in drafting a case
    for preferring one approach over another.
  • Evidence-based policy analysis and advocacy
    skills can be taught
  • Cost/benefit technical skills need to be embedded
    in a broader understanding of good policymaking
    -- political context and competing social values.
  • Participatory forums may be a necessary adjunct
    to NPM technocratic approaches.
  • Evaluation of policy advice and program success
    is very complex.

24
contd
  • We have all learned a lot about community
    engagement, partnering and network approaches in
    recent years.
  • Considerable experimentation and support.
  • There is also much covert resistance to genuine
    engagement and empowerment, owing to a
    combination of ideology, territorial silos,
    and fear of losing control/influence.
  • Networks bring to the table a diversity of
    evidence relevant information,
    interpretations, priorities.
  • Network governance for community engagement
    requires flexibility, management of diversity,
    new skills in diplomacy, and capacity-building.
  • Capacity building is necessary for all the
    sectors governmental, business and community
    if network approaches are to be more successful.
Write a Comment
User Comments (0)
About PowerShow.com