The IDEMS Podcast
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© 2023 IDEMS International
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Stories from a social enterprise that uses mathematical sciences in impact-oriented work around the world. Our experiences range from helping some of the world's poorest farmers get value from data, to enabling academics to use AI responsibly in their teaching. We never know what our next task will be but the last 6 years have shown that it is likely to lead to a story.
195 Episodes
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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.
How do we understand the material living conditions of people on Earth today? In this episode of the IDEMS podcast, Lily and David discuss the influential book “Factfulness” by Hans Rosling. They explore Rosling's key concepts about global development, particularly the categorisation of the world into four income levels instead of the binary “developing” and “developed” terms.
Social impact scientist and anthropologist Lucie Hazelgrove Planel joins Roger Stern to discuss the intricate process of designing agricultural experiments. Using a real-world example involving 10 maize varieties and a field with 12 plots, they explore the challenges of fitting theoretical models to practical scenarios.
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 emphasizes the importance of clear objectives and balancing statistical rigor with practical agricultural considerations.
statistical and mathematical modeling. They explore how each field approaches modeling, and touch on hybrid models that incorporate both statistical and mathematical elements, and the significance of uncertainty in modeling 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.
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