The 11th Biennial European Bird Curator Meeting will take place from 24 - 26 September at the Steinhardt Museum of Natural History in Tel Aviv, Israel.
While the programme is still being developed, you can already register here. The Early-Bird registration will end on July 31st.
To submit an abstract for either a talk or a poster please send an email to email@example.com
The BIOTALENT EU Conference will be take place at the Royal Belgian Institute of Natural Sciences, Brussels on 30 July 2019.
During this a one-day event, we will present you the outcomes of the Erasmus+ BIOTALENT educational project.
The 3rd Wild Plant Pathosystems Conference will take place on 16 September 2019 close to Frankfurt, Germany, and will offer a great forum to exchange ideas on all aspects of wild plant pathosystems.
Covered disciplines include
• Ecological and evolutionary genetics and genomics
• Evolution of agricultural pathosystems
• Molecular plant-pathogen interactions
• Ecology of antagonistic symbioses
• Invasion biology
• Population biology, phylogenetics and speciation
The Yale Peabody Museum of Natural History in collaboration with iDigBio of the Florida Museum of Natural History, the Natural Science Collections Alliance, and Ecological Society of America is pleased to announce the third annual Digital Data in Biodiversity Research conference, to be held 10-12 June 2019 at Yale University, New Haven, CT.
We have the pleasure to announce the first Training School (TS) of our active COST Action MOBILISE, organized under WG6 “EDUCATION & TRAINING, DISSEMINATION & OUTREACH”
Digitisation and Data Management Challenges in Small Collections
14-15 March 2019, Sofia, BG
The aim of this summer school is to equip participants with an understanding of the principles of modern biodiversity theory and its role in Conservation Biology. They will learn practical skills for biodiversity fieldwork including sampling design and monitoring. Students will learn how to analyze ecological data with R, using some of the main packages for biodiversity data analysis and have the opportunity to try these out on their own datasets.