Researcher biography


Professor Tim Reddel is leading the Social Solutions Lab at the Institute for Social Science Research, University of Queensland. The Lab‘s goal is to create greater public policy impact for social science knowledge and research through more collaborative, deeper, evidenced based, outcome focussed and mutually beneficial partnerships between researchers, end users and citizens.

Prior to his appointment to the Institute in August 2019, Professor Reddel worked in a range of senior executive roles in the Australian and Queensland public service, the community services sector and academia. He has previously led the Australian Government’s Department of Social Services’ Policy Office which was responsible for evidence, data analysis, research and evaluation strategies to support and enable quality strategic social policy. Professor Reddel joined the Australian Public Service in 2010 as Deputy Coordinator General for Remote Indigenous Services and has longstanding interest and experience in Indigenous policy and practice. Professor Reddel is also an Adjunct Professor with the Cities Research Institute at Griffith University and was appointed to the Australian Research Council’s Engagement and Impact Assessment Panel for Social Sciences in 2018 to examine how well universities were engaging with research end-users and delivering policy impact.

He has written numerous research articles, papers and reports on social policy governance, locational disadvantage, place based interventions and participatory policy approaches including in the Australian Journal of Public Administration, the Australian Journal of Social Issues and the International Journal of Urban and Regional Research. He also co-edited a book, Community and Local Governance in Australia published by UNSW Press in 2005.

Research interests

Place based policy interventions

Networks and participatory governance

Locational disadvantage

Implementation science, policy impact and research translation

Integrating policy co-design, co-production and data analysis