(CRICOS) #00212K
RE-BUILDING TRUST THROUGH CO-DESIGN
MARK EVANS
See: http://www.governanceinstitute.edu.au/research/p ublications/recent-reports
THROUGH CO-DESIGN MARK EVANS See: - - PowerPoint PPT Presentation
RE-BUILDING TRUST THROUGH CO-DESIGN MARK EVANS See: http://www.governanceinstitute.edu.au/research/p ublications/recent-reports (CRICOS) #00212K Panel context governing in times of mistrust Last year we (IGPA & MoAD) commissioned
(CRICOS) #00212K
See: http://www.governanceinstitute.edu.au/research/p ublications/recent-reports
(CRICOS) #00212K
Perceptions of the motivations of politicians by age cohort in Australia
0% 5% 10% 15% 20% 25% 30% 35% 40% I do not trust them at all I distrust them a little bit I neither trust nor distrust them I trust them a little bit I trust them very much
Trust in MPs
18-34 35-49 50-64 65+
Party Loyalty
We trust the police, the military, community based organisations and universities but distrust political parties, media and most jurisdictions
Trust drives limited public confidence in the ability of government to perform core tasks
Effect of trust on confidence in government to perform core tasks
Build roads Deliver state pensions Combat terrorism Manage water restrictions Combat illegal drugs Develop national infrastructure Develop child care support Manage public school funding Deliver youth allowance payments Manage allocation of welfare
.5 1
Trust in federal government on confidence in ability of government to address issues
Education Environment Immigration Industrial relations Health/medicare Refugees/asylum seekers Climate change Economy National broadband National security
.5 1
But trust is not yet driving political participation – logistic regression of forms of political participation (odds ratio) key: + p<0.1; * p<0.05; ** p<0.01; *** p<0.001
Non- participation Conventional participation Protest Online engagement
Trust in federal government 1.017 0.897 0.989 0.999 (0.076) (0.064) (0.086) (0.070) Trust people in government to the right thing 0.978 1.164 1.108 1.040 (0.115) (0.121) (0.142) (0.109) Age: 50 and above 1.122 1.307 1.353 0.547 (0.190) (0.204)+ (0.259) (0.088)*** Male 0.897 1.000 0.653 1.201 (0.140) (0.142) (0.116)* (0.176) Income: <A$50,000 1.049 0.835 0.887 0.937 (0.167) (0.127) (0.174) (0.139) Education: school 0.975 0.929 0.710 0.990 (0.179) (0.161) (0.155) (0.167) Education: degree 0.718 1.045 1.403 1.422 (0.133)+ (0.186) (0.286)+ (0.247)* Recent arrivals 1.171 0.919 1.079 0.914 (0.247) (0.185) (0.268) (0.182) Indigenous 0.694 1.247 1.417 1.389 (0.177) (0.265) (0.363) (0.306) English not spoken at home 1.979 0.518 0.521 0.669 (0.354)*** (0.090)*** (0.121)** (0.115)* Don’t care about election result 1.892 0.610 0.900 0.557 (0.503)* (0.170)+ (0.333) (0.150)* Ideology: right 0.909 1.030 1.104 1.070 (0.048)+ (0.050) (0.064)+ (0.053) De-aligned (does not identify with party) 2.115 0.410 0.604 0.628 (0.383)*** (0.076)*** (0.155)* (0.113)** Dissatisfied with democracy 1.016 1.025 1.125 1.068 (0.083) (0.079) (0.100) (0.081) Interest in politics 0.401 2.230 2.944 2.396 (0.083)*** (0.373)*** (0.546)*** (0.424)*** Politics run for big interests 0.882 1.089 1.327 1.108 (0.098) (0.112) (0.171)* (0.112)
N
1,244 1,244 1,244 1,244
Pseudo R-squared
0.09 0.09 0.10 0.07
from an allegiant to a divergent political culture.
kingdom (Canberra) but don’t hate politics per se or democracy.
increased participation, greater localism, digital futures
new co-design and accelerator innovation methods e.g. Smart Cities, DSS Try, Test and Learn Fund, National Innovation and Science Agile Projects
Strengthening Services for Families
1. Three month time horizon 2. Inspired by overseas exemplars targeting Young carers, Young students who have left university, Young long-term job seekers 3. Involves target group, intervention experts and independent facilitators as intervention designers 4. Utilises co-design and action learning monitoring and evaluation methods 5. Involves slow, deliberative thinking and codesign in three stages
DISCOVERY PROTYPING AND EXPERIMENTATION LEARNING IMPLEMENTATION & EVALUATION [1] Focus on outcomes and not solutions [1] Focus on possibilities [1] Focus on viability [2] Exploration and deep empathy with how the ‘system’ works now [2] Rapid and iterative prototyping of many solutions [2] Scalable implementation (will start small) [3] Empowering citizens & stakeholders to co- discover with policy makers and agents of transfer the aspects of citizen experience that need to change [3] Co-design possibilities with a strong emphasis on prototyping in situ [3] Test theory of change (e.g. RCTs) [4] Uncover the desirable outcomes – from all actors in the system [4] Collaborative learning about what works and what doesn’t [4] Collective buy-in and support
Understanding the journey of families through the service system. https://www.youtube.com/watch?v=WAwpNmw5XeI
Endorse Strategy Initiate Endorse Scale
“What is the powerful strategic
“What do we need to design to realise the strategic
POLICY [RE]FORMING PROTOTYPING EXPERIMENTATION
“How do we scale?”
Third Phase: Experimentation and service scaling
www.industry.gov.au
Same as agile service design and delivery process