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Australian State/Territory : TAS
Research Topic : Flow Analysis
Field of Research : Social Policy
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  • Funded Activity

    Discovery Projects - Grant ID: DP170100388

    Funder
    Australian Research Council
    Funding Amount
    $257,000.00
    Summary
    Mapping the effect of social enterprise on regional city disadvantage. This project aims to explore how social enterprises affect wellbeing and community capacity in disadvantaged areas of regional cities. Governments increasingly invest in social enterprise to benefit individuals and places. This project will use a spatial methodology to map where and how benefits are realised. To date, robust evidence about how social enterprise affects disadvantage is lacking, partly due to inadequate researc .... Mapping the effect of social enterprise on regional city disadvantage. This project aims to explore how social enterprises affect wellbeing and community capacity in disadvantaged areas of regional cities. Governments increasingly invest in social enterprise to benefit individuals and places. This project will use a spatial methodology to map where and how benefits are realised. To date, robust evidence about how social enterprise affects disadvantage is lacking, partly due to inadequate research methodology. This project expects to provide web-based design tools and applications to assist regional city communities and councils in the development of social enterprises that can help disadvantaged people and places.
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    Active Funded Activity

    Discovery Projects - Grant ID: DP200100419

    Funder
    Australian Research Council
    Funding Amount
    $397,793.00
    Summary
    Optimising the roles of online communities in rural resilience . This research will use data from online communities to identify roles they do, and could play, in rural resilience. It uses social media analytics and spatial methodology to taxonomise and map service topics and social resilience from online communities. Governments call for rural service innovation. To date, robust evidence about online versus local services needed, is lacking. This is partly due to lack of data about diverse cons .... Optimising the roles of online communities in rural resilience . This research will use data from online communities to identify roles they do, and could play, in rural resilience. It uses social media analytics and spatial methodology to taxonomise and map service topics and social resilience from online communities. Governments call for rural service innovation. To date, robust evidence about online versus local services needed, is lacking. This is partly due to lack of data about diverse consumers' priorities and gaps. Social media could offer latent insights, but ethical methodology producing useful de-identified policy insights has been lacking. This study exemplifies applying social media data analytics at scale to address policy problems and will produce up-to-date co-designed data use guidelines.
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    Active Funded Activity

    Discovery Early Career Researcher Award - Grant ID: DE200101182

    Funder
    Australian Research Council
    Funding Amount
    $395,945.00
    Summary
    Problem families in the 21st century: policy, practice, outcomes. The project aims to investigate intractable intergenerational disadvantage by critically examining policy and practice in relation to so-called problem families. It expects to generate new knowledge for social work, policy and welfare by documenting how problem families are understood and managed through the key areas of data linkage, priority investment, income management and family support, and how these areas might be shaped by .... Problem families in the 21st century: policy, practice, outcomes. The project aims to investigate intractable intergenerational disadvantage by critically examining policy and practice in relation to so-called problem families. It expects to generate new knowledge for social work, policy and welfare by documenting how problem families are understood and managed through the key areas of data linkage, priority investment, income management and family support, and how these areas might be shaped by emerging fields including data analytics and epigenetics. Expected outcomes include greater practitioner capacity to engage with the implications of intergenerational disadvantage and dysfunction. This should provide significant benefits including more effective interventions and a richer evidence base for policy.
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