Podcast: The IDEMS Podcast
215 – The History of Computer Assisted Statistics Textbooks
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Lily and David Stern discuss the history and impact of Computer Assisted Statistics Textbooks (CAST), developed by New Zealand lecturer Doug Sterling. The discussion highlights the interactive and assessment-driven nature of CAST, recounting how its use in Kenyan classrooms led to significant improvements in student performance. They reflect on the technological challenges that led to…
214 – Teaching Statistics from the Data Up
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What happens if statistics teaching starts from data rather than methods? In this episode, Lily and David explore the idea that statistics education should prioritise data analysis over traditional methods-first approaches, discussing the benefits and challenges of this paradigm shift. Highlighting examples from New Zealand’s education system and their own experiences, they argue that a…
213 – STACK in Africa
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For those unfamiliar with STACK, consider searching the podcast backlog for previous episodes on the subject. In this episode, Santiago and David discuss the latest developments with STACK in Africa. They highlight various recent developments, including: tailored data course trainings in Niger, Burkina Faso, and Mali; the inaugural African official STACK conference set for 2026…
212 – Personalised AI-Driven Textbooks
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Michele Pancera and David Stern critically discuss a recent Google paper on AI-augmented textbooks. They consider the paper’s proposal of AI-generated personalised learning materials and how it compares to existing deterministic tools like STACK. The conversation highlights the differences between surface-level and deep personalisations, the importance of human involvement in AI processes, and the potential…
211 – Open vs Open Source
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Lily and David discuss the often misunderstood concepts of “open” and “open source.” They discuss the origins of these terms within the programming community and how they have expanded into areas such as open data, open science, and educational resources. The conversation focuses on the various types of licenses, including Creative Commons, and their implications…
210 – Two Years of The IDEMS Podcast: The IDEMS Collaboratories and CommonTech
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In this special two-year anniversary episode David and Kate reflect on their journey, from improving audio quality to hosting more expert guests. They explore the essence of IDEMS’ work, emphasizing the combination between the IDEMS Collaboratory and CommonTech, as a breakthrough in IDEMS’ narrative, highlighting the challenge of communicating a complex, collaborative vision.
209 – Individual Initiative and Collective Responsibility
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In this episode, Santiago and David delve into the two of IDEMS’ staffing principles: Individual Initiative and Collective Responsibility. They discuss how these principles support a culture where team members can take initiative while sharing responsibility collectively. Highlighting real examples, they introduce a recent breakthrough in implementation of these principles in the form of a…
208 – The Significance of the Turing Test
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Michele and David discuss the Turing test, and its relevance today. They explore various philosophical questions about intelligence, the limitations of the Turing test, and the ethical dilemmas posed by AI, particularly in the context of self-driving cars. David emphasises the vital role of human observation in the Turing test and expresses skepticism about society’s…
207 – AI in Low Resource Environments
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Michele and David discuss the impact of AI in low resource environments. They discuss the complexities surrounding AI technology, the hype versus the actual value, and the potential for AI to either widen or reduce global inequalities. They consider the need for robust infrastructural and social frameworks, the promise of small language models, and the…
206 – Explore, Describe, Present: a Statistical Analysis Framework
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Lily and David explore a powerful framework for data analysis: Explore, Describe, Present. They discuss the importance of exploring data to understand its structure, describing data in the context of specific objectives, and effectively presenting insights to various audiences. Highlighting the challenges of modern data analysis, including the role of AI and the influence of…
