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October 17, 2025

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….

October 14, 2025

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…

October 10, 2025

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…

October 3, 2025

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…

September 26, 2025

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…

September 19, 2025

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,…

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Impact Area
IDEMS Domain
Sociotechnical Innovation
How do you present research data in a compelling way? In this episode, Lucie and David discuss the intricacies of creating impactful visualisations for projects. They consider the distinctions between descriptive, exploratory, and presentation graphs. They emphasise the importance of understanding your audience, whether it’s scientific, agricultural, or policy-making, and how to adapt visualisations accordingly to tell compelling stories.
In order to collect research data, we need to take measurements. As part of their continuing conversations, Lucie and statistician Roger consider this critical topic of measurements in agricultural research. They explore various types of measurements, such as context measurements, objective-related measurements, and those that help explain variability, using examples from agricultural trials and anthropological studies. The conversation highlights the nuanced nature of collecting quality data and calls for thoughtful planning and pilot studies.
Santiago and David discuss recent advancements and challenges in educational technology, looking at the integration of the STACK electronic assessment system with the PreTeXt tool for textbook authoring. Reflecting on a successful African STACK Conference held in Ethiopia, they consider the broader impact of these innovations on education in Ethiopia and potentially other African countries, emphasising the importance of making technology accessible at the student, lecturer, and institution levels.
In their continuing conversations on Research Methods for Agriculture, Lucie and Roger discuss the importance and application of controls in agricultural research. They consider the importance of controls in general, and consider examples from both agricultural and medical experiments, emphasising the importance of ethical considerations when using controls. Roger shares insights on how to make controls meaningful, how to adjust experiments based on intermediate findings, and the potential pitfalls of rigidly adhering to control rules.
AI tools can be helpful in analysing quantitative data, but their potential utility in qualitative analysis might be less obvious, or even concerning. In this episode of the IDEMS Podcast, data scientist Lily Clements and social impact scientist Lucie Hazelgrove Planel discuss the usage of generative AI in analysing qualitative data. They explore the ethical implications, the importance of context, and the challenge of addressing biases in AI-generated analyses, as well as the evolving intersection of AI with traditional qualitative research methods.
Lucie Hazelgrove Planel and Roger Stern consider the importance of multilevel data in agricultural research. They discuss the concept of measurement units at different levels, such as individual, household, community, and village, and the challenges faced when dealing with multilevel data in practice. Using an example of a student’s experiment on tadpoles, they illustrate key principles in determining appropriate experimental design and data analysis.
In this episode, Lily Clements and David Stern discuss the “Tricot” method for participatory breeding trials. Short for “Triadic Comparisons of Technologies”, Tricot involves farmers testing three crop varieties and ranking them based on qualitative measures. They reflect on a recent workshop aimed at simplifying this complex analysis using custom R packages and the R-Instat software.
Lucie and Roger continue their discussions of research methods for agriculture, this time focusing on on-farm trials. They consider the benefits and challenges of conducting research on farms versus research stations, emphasizing the importance of farmer involvement in the research process. They consider the innovative “Tricot” method, which tests multiple crop varieties with minimal control from researchers to increase real-world applicability.
In this episode, David and Santiago debate the ‘Dead Internet’ Theory, which claims that AI-generated content will dominate the internet, making it less reliable. David challenges this theory, emphasizing the need for digital literacy, responsible use of AI, and the complex nature of trust in institutions versus individuals. They also discuss the implications of misinformation and the importance of critical thinking in society.
In this episode, Lucie interviews Roger about essential aspects of agricultural statistical experiments. They discuss treatment, layout, and measurement, using an irrigation and maize variety case study. Roger emphasises the importance of clear objectives and balancing statistical rigour with practical agricultural considerations.
In this episode, Lily and George discuss the nuances and differences between statistical and mathematical modelling. They explore how each field approaches modelling, and touch on hybrid models that incorporate both statistical and mathematical elements, and the significance of uncertainty in modelling predictions.
In this episode, Lucie and Roger discuss planning agricultural research, highlighting on-station and on-farm trials. They emphasize integrating diverse data collection methods, farmer involvement, and balancing research design and farmer participation.