The IDEMS Podcast

In this episode, Santiago and David delve into David's experiences at the Joint Maths Meeting. They highlight talks on applied category theory, reflecting on the importance of adapting presentations to different audiences. David shares insights on the role and impact of math camps in low-resource environments, comparing them to similar US-based initiatives. The discussion also covers innovative uses of AI in math education, including AI-driven assessments, and reflects on the collaborative and learning opportunities provided by large math conferences.

In this episode, Santiago and David discuss David's insightful experiences at the Joint Mathematics Meetings (JMM) in the U.S. They explore the significance of collaboration, the role of open educational resources like WeBWork, and the challenges and opportunities in both high-resource American universities and low-resource environments.

Lily and David discuss the nuanced distinction between managing and leading. They compare structured roles to leadership that emerges naturally, and consider leadership as servitude, given versus taken leadership, and the inverted pyramid approach that supports team members to take ownership and grow.

Lily and David discuss IDEMS' guiding principle of embracing diversity. They explore the benefits and significant challenges of this principle, including personal experiences and the organisation's journey. Despite difficulties, they highlight how diversity has strengthened IDEMS, providing adaptability and unique learnings, making IDEMS stronger as an organisation.

This is a follow-up to episodes 216 and 223, it is recommended to listen to those first. In this episode, Santiago and founding director David consider the nuances of achieving personalised education through the five quiz model. They highlight the importance of community involvement and localised context in creating adaptive, relevant learning experiences.

In this episode, Lily and David discuss transforming challenges in low-resource educational environments into opportunities. David shares his experiences in leveraging limited funding and facilities, advocating for individual initiative, and generating agency among students and staff.

In this episode, Santiago and David discuss the idea of personalised education within standardised education. They explore the challenges and opportunities of using adaptive learning technologies to customize educational materials for individual needs to thrive in standardised systems. They also touch on the historical context and future potential of educational tools.

Lucie and David discuss a $7,000 grant from Float, funding internships to support tech projects in West Africa and Kenya. The initiative will advance community tech in agroecology and prepare for a larger $45,000 workshop, emphasizing IDEMS' focus on capacity building and collaboration.

In this podcast episode, Santiago and David discuss IDEMS’ strategy for sustainable growth through Social Enterprise Impact Bonds. They revisit the concept of 'fundamentally profitable', emphasizing the need for financial sustainability to support impactful projects. The conversation highlights their unique funding model, offering ethical and secure returns for investors, aimed at fostering social impact while avoiding high-risk ventures.

Lucie and David discuss their recent workshops in Niger, Burkina Faso, and Mali, focusing on teaching effective research visualizations to diverse stakeholders within the Global Collaboration for Resilient Food Systems. They highlight the importance of visual storytelling, the challenges faced, and the inspiring engagement of local teams.

How can we transform complex data into understandable information? In this episode, Lily and David discuss the concept of factors in data analysis. They consider the historical context of factors, their importance in grouping data, and how they revolutionise statistical thinking.

How can we incentivise student learning? Santiago and David discuss various educational technologies and innovations, focusing particularly on SmileyCoin and the SmileyTutor system from Iceland. David shares insights from his collaboration with Gunnar Stefánsson, who developed a unique system that uses multiple choice questions to enhance student learning, and integrates a cryptocurrency designed to incentivise learning by rewarding students financially.

Santiago and David provide an in-depth look at PreTeXt, an open-source authoring tool designed to separate the roles of authors and publishers. David recounts his early interactions with PreTeXt founder Rob Beezer and discusses the evolution and principles behind the tool. They highlight the importance of modularity, separating content from presentation, and emphasize the tool's relevance for creating interactive, adaptable educational resources. The discussion also touches on PreTeXt's integration with other tools like STACK and the broader vision of combining multiple open-source technologies to address diverse educational needs.

Santiago and David discuss the innovative “five quiz” model – an educational framework designed to improve student learning outcomes. Conceived during the pandemic, this model includes five types of quizzes: prerequisites, instructional, mastery, testing, and extension quizzes. Santiago and David explore how this framework, originally conceptualised for online courses, addresses various educational contexts and learning needs, from low-resource environments to high-resource institutions like Caltech.

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 CAST's decline and extract key lessons for designing sustainable educational resources.

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 data-first approach can provide more practical and widely applicable skills for students, despite the structural challenges it may pose.

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 in Kenya; the establishment of an African STACK Center at Masinde Muliro University; impressive outcomes from the use of STACK in Kenyan schools and technical colleges; the new PreTeXt textbook initiative for Ethiopian universities, impacting over 4,000 students; and additional efforts in Namibia, Tanzania, Somalia, and South...

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 of AI in supporting teachers and enhancing education systems globally. They explore the vision of a customisable, community-driven textbook ecosystem that leverages AI to reduce educational inequalities while maintaining high-quality human interaction. Access the paper from Google here: https://arxiv.org/abs/2509.13348

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 for use and reuse.

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.

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 tool designed to visualise and manage these principles effectively.

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 ability to make responsible choices regarding AI regulation.

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 importance of local ownership in AI development.

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 tools like the tidyverse and R-Instat, they emphasise the need for structured approaches to make sense of complex datasets.

David talks to Rikin Gandhi from Digital Green to discuss the organisation's innovative approach to integrating AI with farmer support systems. They discuss Digital Green’s approach to working with AI, including the importance of human-in-the-loop systems, the benefits of using multimodal inputs like voice, text, and images, and the advantage of open-source data for tuning AI models to meet local agricultural needs. They also explore the potential and challenges of leveraging small language models to provide tailored support to farming communities and the critical role of local expertise in enhancing AI's effectiveness.

David and Kate delve into the ongoing AI boom, questioning whether it's mere hype or has real substance. They explore the ethical and responsible use of AI, emphasizing the importance of making technology accessible and beneficial to low-resource communities. They argue that small language models could provide specific, efficient solutions. The conversation also touches on the societal impacts of AI, the need for regulatory frameworks, and the potential for AI to democratize technology, moving away from its current gatekept state.

David and Mike discuss Kenya's new competency-based curriculum and a UK-backed campaign to create innovative digital textbooks. They delve into the challenges and potential solutions, highlighting the role of PreText and STACK technologies in revolutionizing education across Africa. https://www.crowdfunder.co.uk/p/open-digital-textbooks

In this episode, Michele and David discuss the development and impact of an AI tool for authoring STACK questions. They explore the potential of AI to enhance educational resources, make technology development more accessible, and address inequalities in low-resource environments. The conversation highlights both the opportunities and challenges presented by rapid advancements in AI.

Recently back from the World Statistics Congress, David and James reflect on the significance of this event, which brings together statisticians and the broader statistics community to share knowledge, foster collaborations, and advance the field. They discuss the evolving relationship between statistics and data science, highlighting the importance of both fields in the era of big data. They also explore the role of the International Association for Statistical Education (IASE) and the International Statistics Institute (ISI) in enhancing statistical education and integrating data science into curricula.

In this special 200th episode, Santiago and Johnny discuss how the podcast gets made. They consider the inspiration that led to its creation, the team members involved, and the evolution in production quality over the past 100 weeks. They also highlight the technical aspects, including the software and tools used, the editing process, and the role of AI in simplifying their workflow.

James Musyoka interviews David Stern, about his attendance at the Pan-African Convening on the Future of Biodigital Technologies in Food and Agriculture. Held in Addis Ababa, Ethiopia, and organized by the Alliance for Food Sovereignty in Africa (AFSA), the event focused on the impact of digital technologies on African agriculture and data sovereignty. David shares insights about a declaration formed during the event and discusses the three models of technology development presented by Million Belay. They draw parallels between these topics and IDEMS' African Data Initiative and the R-Instat project, highlighting the challenges and opportunities in achieving local ownership and...

David is joined by Michele Pancera, an Impact Activation Fellow at IDEMS. Michele shares his journey from a high school maths enthusiast to member of IDEMS, via being a teacher and beekeeper. The conversation covers Michele's passion for making mathematics engaging through games, his experience of societal perceptions of maths education, and his various professional pivots. The discussion emphasises the value of generalists in a world that often prioritises specialists, and touches on Michele's ongoing contributions at IDEMS including developing an AI assistant for STACK questions and his woodworking ventures.

Santiago and David explore the transformative potential of gamifying education. They discuss how rethinking exams to be more like driving tests could shift the educational landscape away from high-stakes differentiation to a mastery-based model.

David and Lucie discuss ongoing efforts to responsibly use AI to assist smallholder farmers in the Sahel region. They discuss the challenges faced by farmers in identifying pests and diseases and the shortcomings of commercial AI tools. They highlight the work of Digital Green, a non-profit organisation developing an AI tool for farmers that emphasises relevance, local language integration, and responsible AI practices. They explore the potential for collaboration and future advancements in AI tools tailored for low-resource environments.

Lily and David discuss the old adage “When all you have is a hammer, everything looks like a nail”, and how it applies to the realm of research, particularly in the context of statistical analysis and methodology. Emphasising the importance of having a diverse set of tools, they explore how narrow training in data skills can limit the effectiveness of research. They consider how methodologies from different disciplines can benefit from cross-disciplinary approaches, including medical science, climate, education and agriculture.

Wrapping up the series of episodes marking twenty years of research method support for the Collaboration for Resilient Food Systems, Lucie and David Stern consider the complexities of research planning. They explore the shifts in their roles towards structural change, particularly in the West African region. David shares his experiences with building local capacity and structurally embedding research methods within organisations like FUMA Gaskiya. They also reflect on the challenges of meeting researchers where they are and the importance of involving both qualitative and quantitative methods in research planning.

Lily and George discuss their personal experiences of using generative AI in their work. They explore how AI assists in course development, coding, and writing tasks, sharing insights on how these tools can enhance productivity and creativity.

Lucie and Roger discuss the intricacies and applications of crop simulation models in agricultural research. Roger explains the historical development of these models since the 1980s and provides a detailed explanation of how crop simulation models work, such as the DSAT and APSIM systems, which are used extensively in the United States and Australia. The discussion underscores the models' value in complementing traditional field experiments, especially in understanding long-term agricultural dynamics. They also touch on the challenges of implementing these models in Africa due to climatic data availability.

Santiago and David discuss how aspects of education could be “gamified” in order to improve outcomes. They explore various real-world examples of how games are used to enhance learning, including platforms like Kahoot and innovative projects like SmileyCoin. As well as the benefits, they consider the potential downsides, such as excessive screen time and the impact of dopamine release on student concentration.

As part of their continuing conversations around research methods for agriculture, Lucie and Roger discuss the utility of conducting research trials over multiple years. They consider the importance of understanding climate variability, and the value of pilot experiments as well as the implications of adapting research methods based on initial findings and the benefits of engaging farmers extensively in the research process.