What to Read for new graduate students

Ilias and I have been talking about papers each week. Most recently, we read Platt’s Strong Inference paper about the scientific method and Doug Fudge’s engaging 50-year anniversary essay about it.

What are some articles that are great for new graduate students should read? This is a rough list-in-progress…

Stephen C. Stearns “Designs for Learning” (and “Some Modest Advice for Graduate Students”)

Platt (1964) “Strong Inference” (and Fudge’s 2014 essay “50 Years of JR Platt’s Strong Inference”)

Tinbergen (1963) “On Aims and Methods in Ethology”

Srinivasan et al. (1996) “Honeybee Navigation en route to the Goal: Visual Flight Control and Odometry”

Esch et al. (2001) “Honeybee Dances Communicate Distances Measured by Optic Flow”

Gould and Lewontin (1979) “The Spandrels of San Marco and the Panglossian paradigm…”

Ducrest et al. (2008) “Pleiotropy in the melanocortin system, coloration and behavioural syndromes”

Ioannidis (2005) “Why Most Published Research Findings are False”

Burnham and Anderson “Model Selection and Multimodel Inference”

Gelman and Stern “The Difference Between ‘Significant’ and ‘Not Significant’ is Not Itself Statistically Significant”

Gelman “The Problems with P-values are not just with P-values”

Gelman and Loken “The Garden of Forking Paths…”

Loken and Gelman (2017) “Measurement Error and the Replication Crisis”

Gopen and Swan (1990) “The Science of Scientific Writing”