מדע במשבר (0431.3870)

 

 

שם הקורס באנגלית:  Science in crisis
can we trust the results of our experiments and statistical tests?

 

מרצה הקורספרופ' שי מאירי

 

 

ימים ושעות הקורס

סוג: שיעור
מספר קורס סמסטר יום משעה עד שעה בניין חדר
0431.3870.01 א ב 11:00 13:00 שרמן 330
 
 
 
סילבוס:
 

A graduate level course

(inspired by: https://hardsci.wordpress.com/2016/08/11/everything-is-fucked-the-syllabus/)

 

Topics:

  1. Science in crisis – replicability issues, and the problem of power and generality with small samples
  2. Statistics in crisis: Issues with probabilistic statistics
  3. Meta-analysis to the rescue
  4. Meta-analysis in crisis – the file drawer problem, publication bias, and publishing practice
  5. Types of science: experimental, observational and theoretical, how hard is hard science?
  6. Big data to the rescue: macroecology and evidence based science
  7. Interlude: bad science, non-science and pseudo-science (we may be bad, but there are worse)
  8. Big data in crisis – low variances and issues with model selection (the world views of AIC, BIC, model averaging and junk explanatory variables)
  9. Potential remedies and overview
 
  • Structure: We will start with an overview by the lecturer, with introduction to power and meta-analyses and the file-drawer problem. Students will then choose subjects from the list above at the beginning of the semester, read about them and present them in class (~45 minute presentations), to be followed by discussion.
     
  • Pre-requisites: Biostatistics course and one more piece of proven record in either learning statistics (advanced level courses such as the R course etc.) or using them (submitting a paper for publication or submitting a thesis where statistics were used)
     
  • Semester: Aleph
     
  • Credit: 3 points
     
  • Final grade:
  1. Presentation (30%)
  2. intelligent participation in the discussion (20%)
  3.  house exam (50%, basically a review of the subject presented to the class)
  • A Reading list will include papers from the primary literature. The students are required to read relevant papers for preparing their presentation (at least 4 papers per topic, detailed list will be provided).

 
 
 
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