Podcast: The IDEMS Podcast

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…

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…

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…

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…

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…

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.

In this episode, Lily and George discuss their journeys from their PhD to IDEMS’ Postdoctoral Impact Activation Fellowship. Lily also describes her transition to a permanent role while George describes what he imagines his transition might be like. An informal chat that reveals two different enough yet similar experiences joining IDEMS.

In this episode, Lucie talks to Roger about his work in agricultural research methods. Roger shares his experience with CCRP, the shift from on-station to on-farm research, the role of farmers’ organizations, and advancements in data collection and analysis.