Social Data Analytics Lab

Data science for social good.

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The Social Data Analytics (SoDA) Lab enables a connection between data, data science and an empowered community sector within the emerging Society 4.0.
The Social Data Analytics (SoDA) Lab applies data science, including data mining, analytics, machine learning and sentiment analysis - drawing from sources such as Government Open Data, Social Media Data, Community Data Coops and the APO. Using this to provide an evidence base for activity around Society 4.0, Mental Health and Wellbeing, Social Connections and Families and Children.

‌‌Research focus (shown in purple above)

Society 4.0

Society 4.0 defines life during and after artificial intelligence, digitisation and high-powered data analytics. Offering analysis to stakeholders, research traces the social/economic impact of Society 4.0. Our analysis will be invaluable as society changes to become more digitised and automated. 

 

Mental Health and Wellbeing‌

Mental health and wellbeing is a growing challenge for the community and workplaces. Therefore, our research targets questions such as the challenges of mental health in the workplaces, whether there are large areas of unmet needs at work and how to access more services and resources.

 

Social Connections

Social connections can positively affect health and wellbeing by fostering community development and building resilience in crisis. Research explores key aspects of social connections raised by a diverse body of research - acknowledging the changing nature of contemporary social life.

 

Families and Children

Focusing on positive attitudes to women, children, families and diversity, we want to learn how data is used to understand the impact of community initiatives in improving lives. We aim to integrate community data with data on demographics, transport, housing, employment and government initiatives. 

‌‌‌Some SoDA lab projects and partnerships

 

Social Resilience ‌‌

Social Resilience is the capacity for groups and communities to preserve and sustain their wellbeing in the face of adverse challenges. In this project, we have collaborated with the City of Glen Eira to integrate socio-economic, urban and social media data into a multifaceted social resilience model for various groups and communities. The outcome of this project provided a blueprint for identifying community priorities and tailor social services based on community needs. In addition, we have developed several data dashboards that provides comparisons of Glen Eira suburbs with other Councils.


CAPCE Data Framework

Family Life, with partners Alfred Health, Australian Childhood Foundation, Swinburne University and the Royal Women’s Hospital are driving the development of the Children and Parent Centre of Excellence (CAPCE) to serve vulnerable children and families in the Bayside Peninsula region. CAPCE is a pilot program designed to demonstrate how a place-based, connected, infant-focused, expert early intervention service can simultaneously generate: (a) improved outcomes for vulnerable infants exposed to trauma and their families and (b) ongoing cost savings to the government.

As part of this partnership, Swinburne is actively working with CAPCE partners to identify and map the data that is available and can be provided to support data-driven service delivery and knowledge building. One of the key outcomes of this project is the Responsible Data Sharing Framework designed to enable sharing sensitive data across CAPCE partner organisations.

 

Global Digital Health Partnership - Rapid Systematic Review

The Global Digital Health Partnership (GDHP) is a collaboration of governments and territories, government agencies and the World Health Organisation (WHO) formed to support the effective implementation of digital health services. GDHP has identified seven benefits categories of digital health including:

  • Digital health quality and efficacy
  • Digital health end-user experience
  • Population health trends and secondary uses
  • Digital health efficiency and return on investment and
  • Digital health equity.

In a collaboration with Australian Digital Health Agency, we have provided a rapid review of the literature on benefits realisation categories and proximal measurements of digital health services.

 

Mapping Humanitarian Action on Instagram‌

Mobile devices and social media platforms drive new forms of humanitarian action and voluntary service. This project involved transforming Instagram activity into data by classifying people’s vernacular expressions of humanitarian action and understanding the contexts, situations and targets of those actions.

 

SOPHIA

Social Outcomes of Policy – Helpful Intelligence and Analytics (SOPHIA) is an exploratory study that seeks to understand Family Violence outcomes in Victoria using novel data analytical techniques and aligns with the Victorian Government’s Ending Family Violence 10 Year Plan.

 

Buried Treasures and Missed Opportunities in Victorian Sports Reporting

Working with VicHealth as part of their Leading Thinkers Initiative we have supported the first ever, big-data analysis of the extent and nature of the portrayal of women and men in Victorian sports print media. It provides new evidence to both inform current dialogue and to highlight challenge​s and opportunities. Read the report: Buried Treasures and Missed Opportunities in Victorian Sports Reporting.

 

Main contacts

Go to Associate Professor Amir Aryani page Associate Professor Amir Aryani

Head, Social Data Analytics Lab

Go to Dr Arezou Soltani-Panah page Dr Arezou Soltani-Panah

Research Fellow, Social Data Analytics Lab

Go to Professor Jane Farmer page Professor Jane Farmer

Director, Social Innovation Research Institute

Go to Associate Professor Anthony McCosker page Associate Professor Anthony McCosker

Deputy Director, Social Innovation Research Institute

Contact the Social Innovation Research Institute

There are many ways to engage with us. If your organisation is dealing with a complex problem, then get in touch to discuss how we can work together to provide solutions.

Call +61 (03) 9214 8180