Pia Andrews is an open government and data ninja who has been driving digital, data, policy and legislation transformation in the public sector for a decade. Pia has been in the tech sector and community for another 10 years before that and has been evangelising “gov as a platform” right throughout. She works within the (public sector) machine to enable greater transparency, democratic engagement, citizen-centric design and real, pragmatic actual innovation in the public sector and beyond.
Pia believes that tech culture particularly open source, has a huge role to play in achieving better policy planning, outcomes, public engagement and a better public service all round. She is also trying to do her part in establishing greater public benefit from publicly funded data, software and research. Pia was recognized in 2018 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.
Between a pandemic that has changed our world forever, and with the emergence of Web 3.0, our relationship to technology is going through a seismic shift as it becomes ubiquitous to our lives. How is this changing the way we are envisioning our relationship with their governments? Join us as we sit down with the people who are designing this new future to understand where they think we are going... read more
In this workshop, Pia Andrews will discuss “Government as a Platform”, including the strategic value and opportunity for digital transformation of public sectors. Pia will walk through a methodology for planning out GaaP for your jurisdiction and organization, and will present a collaborative model and methodology developed with Pia, Audrey and Kristo. This provides participants a strawman... read more
Technology is now embedded everywhere in the processes and decision making of government. This has created a challenging paradox. Technology offers great opportunities for better service delivery, better policy, better governance and more informed decision making, but brings with it greater risks of reduced accountability and auditability, entrenching biased or inequitable outcomes at scale, and... read more