This course will be taught using a combination of live (synchronous) sessions on Zoom, with exercises to be completed in between live sessions on the Slack platform.
Anatomical Network Analysis (AnNA) is a framework for quantitatively characterizing the topological organization of anatomical systems using tools from Network Theory. AnNA is emerging as a new tool to identify developmental constraints, measuring morphological complexity and modularity, building morphospaces, and modelling the growth of anatomical structures.
This course aims to teach the main concepts of AnNA. Students will learn the basics of network analysis applied to morphological and anatomical systems: gathering information, building network models, analysing them, and interpret the outcomes of their analysis. This course combines theoretical introductions and practical exercises using the free and open-source software R and RStudio.
Participants are encouraged to bring their own data for practicing and for the supervised project session; anatomical networks will be provided by the instructors if needed.
This course is addressed to PhD students, postdocs and senior researchers.
Graduate or postgraduate degree in Biological, Biomedical or Paleobiological Sciences. A basic knowledge/interest in anatomy and/or morphology is required.
Participants must have a personal computer (Windows, Mac, Linux). The use of a webcam and headphones is strongly recommended, and a good internet connection. Participants should install R and RStudio before the course (https://www.youtube.com/watch?v=d-u_7vdag-0).
Click here to see the full Program
DAY 1 – Essentials of Anatomical Network Analysis
DAY 2 – Basic topological variables
DAY 3 – Higher-level properties of networks
DAY 4 – Development & Evolution of anatomical networks
DAY 5 – Visualization & Preview of advanced materials
(380 € for Ambassador Institutions)
(438.4 € for Ambassador Institutions)