Adaptive policy management and understanding impact

When:  Nov 28, 2023 from 01:00 PM to 02:30 PM (AEDT)
Associated with  Digital Profession

Adaptive policy management and understanding impact.

How might we manage and deliver humane and effective policy outcomes, adaptively? Policy management could cheekily be characterised as blindfolded teams passing the baton from function to function. It's hard to close the gap between policy design and delivery, and it is very hard to monitor for and respond to change or impact, whether intended or not. 

So, what might adaptive policy management look like? Imagine a policy lifecycle:

  • where policies are designed and delivered collaboratively, with shared policy infrastructure.
  • real impacts monitored, escalated and fed into policy improvements over time.
  • formal evaluations able to be triggered when things go terribly wrong, not years later.

Policy makers could, for instance, establish a theory of change between the vision / outcomes and the actions being taken, to ensure the indicators and measures are connected to and represented in delivery from the start. If all policies required a purpose statement, it would help implementers to ensure the delivery was aligned to the purpose and intent of the policies. 

Our presenters will present the work of a coalition of organisations from the research sector, public sector and private sector, to design an end-to-end adaptive approach to managing policy design and delivery, starting with purpose. The framework has already revealed the need for end to end and shared policy infrastructure, and a modernised operating model that bridges the current divide between "policy and delivery".

Pia will be presenting on an ambitious adaptive policy management framework, with shared policy infrastructure and an end to end, continuous improvement operating model. Further, she will talk about the "Human Impact of Social Policy" research project, led by RMIT with a strong coalition of research partners, government departments (Federal and State) and private sector companies.

Presented by:

Pia Andrews
Pia Andrews is an open government, digital transformation and data geek who has been trying to make the world a better place for 20 years. She usually works within the (public sector) machine to transform public services, policies and culture through greater transparency, democratic engagement, citizen-centric design, open data, emerging technologies and real, pragmatic actual innovation in the public sector and beyond.

She believes that tech culture has a huge role to play in achieving better policy planning, outcomes, public engagement and a better public service all round. Pia is also trying to do her part in establishing greater public benefit from publicly funded data, software and research.

Pia was recognised in 2018 and 2019 as one of the global top 20 most Influential in Digital Government and was awarded as one of the Top 100 Most Influential Women in Australia for 2014. Pia has also studied martial arts since 1990 and brings the philosophies and practices of Gung Fu and Chan Buddhism into her work every day.

Thea Snow
Thea Snow is the Director of the Centre for Public Impact in Australia and New Zealand where she works with governments, public servants and a diverse network of changemakers to reimagine government so that it works for everyone.

Thea’s experiences span the public, private and not-for-profit sectors. She has worked as a commercial lawyer, a public servant and, prior to joining CPI, worked at the UK’s innovation foundation, Nesta. 
Thea received her Bachelor of Arts and Law at Monash University and completed a Master of Public Policy (with distinction) from the London School of Economics in 2019, where she received the Peter Self Prize for best dissertation. 

With a strong theoretical and practical grounding in public policy, Thea has been recognised as a thought-leader in her field. In 2019, Thea was named as one of Apolitical's most influential public sector innovators.
Thea is also the proud mum of three beautiful children.