Chairs: Luigi Musco, Marco Passamonti
This theme encompasses research on molecular, anatomical, behavioral, and physiological adaptations in the marine environment, including the effects of sexually selected traits
Dear friends and colleagues,
we are pleased to announce the 2nd Edition of the Italian Congress on Marine Evolution, EVOLMAR that will take place in virtual format on 14th - 17th November 2023 (afternoon only - CET).
EVOLMAR 2023 is organized in collaboration with Italian Society for Evolutionary Biology (SIBE-ISEB). The meeting will assemble international experts in Marine Evolutionary Biology to present the latest findings and diverse perspectives on the multiple patterns and processes at all levels of biological organization, inspiring insights into emerging networks and r-Evolutionary trajectories.
EVOLMAR 2023 will host eminent invited speakers, oral presentations, and posters revolving around 5 themes: Adaptation, Biodiversity, Conservation, Macroevolution, Populations & Species.
In the best EVOLMAR tradition and thanks to the informal vibe of the conference, young participants are encouraged to share their results, ideas, and future projects.
Many prizes and awards will be dedicated to students and early-career researchers.
3 times Wildlife Photographer of the Year 2017, 2021 (grand title), 2022, he is NIKON Ambassador and the Leader of the Gombessa Expeditions
The EVOLMAR 2023 competition welcomes photographs and videos collected underwater or in the laboratory and depicting Marine Evolution in a creative r-Evolutionary way Special prizes or awards are reserved for the best contributionsPhoto Contest
Hands-On Data Manipulation and Visualization with the tidyverse and ggplot2
Online, November 20th (9 am – 4 pm CEST)
In this course, you will embark on a journey into the fascinating world of the Tidyverse, a collection of powerful tools for data manipulation and visualization. By mastering the techniques of data manipulation and unleashing the potential of visual storytelling with ggplot2, you will gain a solid foundation in exploratory data analysis.Physalia Course