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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…
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…
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…
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…
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…
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…
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…
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 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.

