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An additional 395 case studies are available in the case study archive.

The Australian government is transforming employment services to improve how the system works for job seekers, employers and the community.

Transformational change requires genuine consultation to capture the diversity of views of stakeholders affected by changes, identifying pain points, testing ideas and laying the groundwork for sustainable policy reform.

A citizen centric approach helps to understand the real-world impact, leading to better outcomes and greater acceptance in the community.

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The Collaborative Partnership to Improve Work Participation (the Collaborative Partnership) is a unique public-private sector alliance to drive fresh approaches to improving work participation for Australians with a temporary or permanent health condition or disability that impacts their ability to work. The Collaborative Partnership is responding to stagnating work participation rates in Australia following a work-related injury or illness and employment rates among people with disabilities.

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Converlens emerged from the Australian government’s 2017/18 Business Research and Innovation Initiative (BRII) "Digitally enabled community engagement in policy and programme design" challenge. The BRII challenge linked into OGP Australia’s first National Action Plan. Deploying artificial intelligence (AI) to provide a smart layer of qualitative natural-language processing techniques (NLP), Converlens assists people in government to excel at managing the submissions and communications process.

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All cars on Australian roads must have compulsory insurance (CTP). In the ACT, this insurance was expensive, coverage limited, and most claims needed to be settled in the courts. democracyCo designed and delivered a Citizens’ Jury and extensive stakeholder engagement process to develop a improve the scheme. Over 7 months 50 Canberrans worked with a group of stakeholders to design the improved scheme, which the Government committed to implement.

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The Queensland Government is using machine learning and computer vision to automatically map and classify land use features in satellite imagery. Successfully applied to the mapping of banana plantations, the method is extremely efficient compared to current methods of mapping compilation. Using this technology the Queensland Government can accurately map and classify the land use in a timely manner, aiding response to biosecurity and natural disaster events.

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AUSTRAC  is the first known government law enforcement or intelligence agency to run a global Codeathon forum. AUSTRAC leveraged innovation, collaboration and exploited technology to improve its business operations, develop efficient new solutions in consultation with government partners, industry, academia and the private sector.

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