WPSG2022 feedback survey
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Lectures
How much did you learn from the lectures?
More than expected
A lot
Something
Not very much
Nothing
NA
Likelihood and probability (M. Matschiner)
Population genomics (R. Nielsen)
Coalescent theory and introgression (M. Hahn)
Model-based inference of population history (V. Sousa)
Selection and adaptation (L. Moyle)
The genomics of organismal diversification (W. Salzburger)
Speciation with gene flow (C. Jiggins)
Structural variation (A. Suh)
Machine learning (M. Fumagalli & F. Jay)
Tree sequences (S. Myers)
Simulation (G. Tsambos)
Ancient genomics (F. Mafessoni)
Clear selection
In general, the lecture was...
Way too complex
Too complex
Just about right
Too simple
Way too simple
NA
Likelihood and probability (M. Matschiner)
Population genomics (R. Nielsen)
Coalescent theory and introgression (M. Hahn)
Model-based inference of population history (V. Sousa)
Selection and adaptation (L. Moyle)
The genomics of organismal diversification (W. Salzburger)
Speciation with gene flow (C. Jiggins)
Structural variation (A. Suh)
Machine learning (M. Fumagalli & F. Jay)
Tree sequences (S. Myers)
Simulation (G. Tsambos)
Ancient genomics (F. Mafessoni)
Clear selection
Activities
The basic introduction was ...
Not in the schedule but would've been nice to have
Not needed
Too complex
Just about right
Too simple
NA
UNIX
R
Python
Genomic data quality control and filtering
Clear selection
How much did you learn from the activities?
More than expected
A lot
Something
Not very much
Nothing
NA
Probability (M. Malinsky)
ANGSD (T. Korneliussen)
D-statistics (M. Malinsky)
fastsimcoal2 (V. Sousa)
Species tree inference (M. Matschiner)
The genomics of organismal diversification (W. Salzburger)
Sweep detection (D. Setter)
GWAS (P. Clauw)
Structural variation (V. Peona)
Selection inference with ML (M. Fumagalli)
Demography inference with ML (F. Jay)
Relate (J. Rees & L. Speidel)
Simulation with tskit (G. Tsambos)
Clear selection
In general, the activity was...
Way too complex
Too complex
Just about right
Too simple
Way too simple
NA
Probability (M. Malinsky)
ANGSD (T. Korneliussen)
D-statistics (M. Malinsky)
fastsimcoal2 (V. Sousa)
Species tree inference (M. Matschiner)
The genomics of organismal diversification (W. Salzburger)
Sweep detection (D. Setter)
GWAS (P. Clauw)
Structural variation (V. Peona)
Selection inference with ML (M. Fumagalli)
Demography inference with ML (F. Jay)
Relate (J. Rees & L. Speidel)
Simulation with tskit (G. Tsambos)
Clear selection
Organization, town, health
The workshop lived up to my expectations..
It went beyond my expectations
It was just as I expected
I thought it would be better
NA
..regarding the organization
..in terms of teaching content
..regarding interaction with faculty
..regarding the lecture location (Egon Schiele)
..regarding the activity location (Prelate)
..regarding the town (Cesky Krumlov)
..regarding leisure activities
Clear selection
Have you been sick during the workshop?
Points to improve
If you could change three things that would improve the workshop the most, what would it be (in order of importance)?
Finally, I would really like to tell you...
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