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This five-day workshop provides hands-on training in geometric morphometrics (GM) using R, from theory to practical application and is fully taught in English.
This five-day workshop provides hands-on training in geometric morphometrics (GM) using R, from theory to practical application and is fully taught in English.
You'll learn from creators of geomorph and RRPP packages to quantify and analyze shape variation with landmark data, covering all stages from data collection to statistical testing and visualization. Sessions include supervised lab work and the option to analyze your own datasets!
You'll learn from creators of geomorph and RRPP packages to quantify and analyze shape variation with landmark data, covering all stages from data collection to statistical testing and visualization. Sessions include supervised lab work and the option to analyze your own datasets!
Join us to turn shape data into biological insights—no prior GM experience required!
Join us to turn shape data into biological insights—no prior GM experience required!
Participant FEE
Early bird by July 31, 2026
€ 100 (or 430 PLN)
Standard by September 1, 2026
€ 120 (or 520 PLN)
There are only 20 places available!
Fee includes participation in the workshop, training materials and certificate of attendance
Learning outcomes
By the end of the workshop, participants will be able to:
Understand core GM concepts (landmarks, shape vs. size, Procrustes alignment)
Perform GPA, PCA, and Procrustes ANOVA in R
Analyse allometry, missing data, symmetry, and modularity
Visualise shape changes via warped meshes and deformation grids
Apply trajectory analysis and phylogenetic comparative methods
Build a reproducible GM workflow from landmark collection to publication‑ready figures
Target audience and prerequisites
This workshop is designed for:
graduate students, postdoctoral researchers and faculty members,
researchers working in evolutionary biology, anthropology, paleontology, zoology, ecology and related fields,
participants interested in applying geometric morphometrics to their own research,
beginners in geometric morphometrics with basic knowledge of R, as well as researchers seeking to update their analytical skills.
While practice datasets will be available, participants are encouraged to bring their own datasets (2D or 3D landmarks, semilandmarks) for discussion and practical exercises
Remember to bring your own laptop!
Invited Experts
Invited Experts
Professor Dean Adams
Professor Dean Adams
Iowa State University
Professor Michael Collyer
Professor Michael Collyer
Chatham University
LOCATION
LOCATION
Faculty of Biology at Adam Mickiewicz University
Uniwersytetu Poznańskiego 6, 61-614 Poznań, Poland
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