Title: EvidenceBased Policy
1Evidence-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
2Overview
- -- 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 -
3Public 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.
4Towards 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-Ã -vis
sociology and cultural studies and history?)
5The 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.
6Relevance 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?
7Producing, 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?
8Last 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?
9Failure 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?
10Types 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.
11Types 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.
12Types 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?
13Framing 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
14Problems, 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.
15The 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.
16The 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.
17Evidence 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.
-
18Implications 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?
19Evidence 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.
20Policy 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.
21Conclusions 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.
22contd
- 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?)
23contd
- 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.
24contd
- 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.