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.
Online Course – 4th Edition
REGISTRATION IS CLOSED
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Course OverviewAnatomical 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.
Basic knowledge of R is required, if you don´t have it you can take the course Introduction to R or to learn it by your own using Swirl.
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).
Online live (synchronous) sessions from Monday to Friday from 9:30 to 13:30 (Madrid time zone).
Participants are expected to work on exercises one hours between the live sessions each day.
Total: 25 hours
This course is equivalent to 1 ECTS (European Credit Transfer System) at the Life Science Zurich Graduate School.
The recognition of ECTS by other institutions depends on each university or school.
English
Places are limited to 16 participants and will be occupied by strict registration order.
Participants who have completed the course will receive a certificate at the end of it.
Cavanilles Institute of Biodiversity and Evolutionary Biology
Spain
Pompeu Fabra University
Spain
Dr. Haris Saslis
Transmitting Science
Greece
Dr. Soledad De Esteban-Trivigno
Transmitting Science
Spain
Contact: courses@transmittingscience.com
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)
You can check the list of Ambassador Institutions. If you want your institution to become a Transmitting Science Ambassador please contact us at communication@transmittingscience.com
Discounts are not cumulative and apply only on the Course Fee. We offer the possibility of paying in two instalments (contact courses@transmittingscience.com).
5 % Discount
Former participants will have a 5 % discount on the Course Fee.
20 % Discount
20 % discount on the Course Fee is offered for members of some organizations (Ambassador Institutions). If you want to apply to this discount please indicate it in the Registration form (proof will be asked later).
40 % Discount
Unemployed scientists living in the country were the course will be held, as well as PhD students based in that country without any grant or scholarship to develop their PhD, could benefit from a 40 % discount on the Course Fee. If you want to ask for this discount, please contact the course coordinator. That would apply for a maximum of 2 places and they will be covered by strict inscription order.
Transmitting Science started in 2012 to manage specialized courses and workshops we were already organizing within our own partnerships. Up to date, we have already run more than 120 advanced courses in different topics related to Life Sciences.
All the courses are self-financed with participant’s fees and we strive to keep the fees to the minimum necessary for running them.
Our courses cover a wide range of research methods and are aimed at postgraduate students, postdoctoral researchers and established academics from all over the world.
