Show Notes
Hosted by Rhetta Chappell Conversation with Stephen Riley and Dr Julia Carins What does social impact really mean, and how can organisations measure it effectively? In this episode, we’re joined by Stephen Riley, CEO of The BUSY Group North America, and Dr Julia Carins, Associate Professor of Social Marketing at Griffith University. Together, they cut through the jargon to explore: What makes impact reporting credible (spoiler: it's not just about pretty graphs) Common mistakes organisations make when measuring impact—and how to avoid them. How data can validate—or challenge—the stories we tell about our work. Whether you're a data professional, decision-maker, or simply passionate about purpose-driven work and long-term social change, this episode offers valuable insights on leveraging data for real-world impact. If you have any questions or comments, you can reach us by email at [email protected]. Griffith University and the Relational Insights Data Lab (RIDL) are dedicated to building and supporting thriving communities. We believe that the right data, in the hands of the right people, can change lives for the better. We are committed to collaborating and co-designing solutions which address long standing, complex socio-economic problems. If you or your organisation would like to collaborate or learn more about the important work we do, please get in touch. We'd love to hear why data matters to you. Thank you for listening to Show Me the Data. Show Notes: The BUSY Group 2023 Social Impact Report
More from Show Me the Data
What if the key to the next AI revolution isn’t more data but deeper emotional understanding? In this episode, we sit down with Nic Gibson, CEO and founder of inTruth Technologies, to explore how emotional intelligence is reshaping technology. Nic shares her journey from early work in mental health prevention as Australia's youngest-ever Mental Health Commissioner appointed at 21 to founding inTruth, the world’s first emotion bio-tech company. We unpack the science and ethics behind emotion measurement, real-world use cases across health and business, and why privacy must remain at the core of emotional AI.
What can reality TV and a skyscraper climb teach us about data-driven decisions? In this episode of Show Me the Data, Paul Chivers, Rhetta Chappell, and Tom Verhelst dive into the world of real-time data and risk management. From the “Amazing Race” of reality TV to corporate decision-making, they explore finding the sweet spot between risk and reward, gaining executive support through powerful data visualisation, and using exposure maps to drive smarter strategies. Plus, hear what climbing Taipei 101 reveals about turning data into action. Show Notes: Paul Chivers | LinkedIn Projects | riskfacilitator.com When personal risk becomes a live event, what does due diligence really look like? | LinkedIn Paul Chivers (aka risky) (@riskfacilitator) | Instagram
Data are rarely neutral. In this episode, data storyteller and author of The Data Storyteller's Handbook, Kat Greenbrook, makes the case that before we can communicate data well, we need to understand where it came from and why. Who collected it? For what purpose? Under what constraints? Because the answers shape everything that follows. Kat unpacks why metadata isn't a technical afterthought but a critical lens for interpreting meaning, and why data are better understood as mirrors of the organisations and moments that produced them than as objective records of reality. We also explore the "curse of knowledge" — the all-too-common trap where deep expertise makes it harder, not easier, to communicate clearly — and what data professionals can do to bridge the gap between what they know and what their audience actually needs. Practical, provocative, and genuinely useful for anyone trying to turn numbers into decisions. Hosted by Rhetta Chappell, Data Scientist at RIDL, Griffith University. Show Notes: Kat Greenbrook | LinkedIn The Data Storyteller’s Handbook | Rogue Penguin PGAI Framework Templates and Resources | Rogue Penguin NAPLAN Achievement Data Explorer | Griffith University RIDL
In this episode, former Google Cloud Chief Innovation Evangelist Jim Hogan unpacks Australia's innovation lag from AI adoption hesitancy compared to the US, to why rigid agile methods fail neurodiverse teams (drawing on his PhD insights). He shares performance lexicon tips to align with bosses, cloud computing lessons, and neuroinclusion as a business edge. Hosted by Dr Tom Verhelst Show Notes: Jim Hogan | LinkedIn
Hosted by Rhetta Chappell Conversation with Dr Tom Verhelst