We are pleased to invite nominations for the 2019 Young Researchers Award. This annual programme aims to foster innovative research and discovery in biodiversity informatics by graduate students whose master’s and doctoral studies rely on GBIF-mediated data.
As in previous years, the 2019 programme will provide a pair of €5,000 prizes recognizing the work of two graduate students—preferably, one master’s and one PhD candidate—nominated by GBIF Participant countries.
A jury organized by GBIF Science Committee will select two award recipients from the pool of nominees whose names are received by the GBIF Secretariat by 15 May 2019. The winners will be announced in the summer of 2019.
Read more about the submission process at GBIF.org.
Short Course: Machine Learning for Biologists
Date: May 13th 2019 (arrival at venue 15.00-18:00) to May 15th (15.00)
Description: The workshop ‘Machine Learning for Biologists’ is intended to introduce the students to the fast growing discipline of Machine Learning and its application within Biology, especially Ecology and Biodiversity Informatics. The main focus of the workshop is hands on computer exercises, where students apply deep learning methods (such as Convolutional Neural Networks and Recurrent Neural Networks) to various problems, for instance image analysis. It is also possible to bring your own data and get supervision about how to apply deep learning techniques, although time may limit how far we can get with this during the workshop.
We will use Keras for the computer exercises. Students must bring their own laptop and must have basic knowledge of Python programming.
Course teachers: Xiaodong Duan (postdoc), Jesper Erenskjold Moeslund (researcher), Jesper Bladt (senior advisor). All from Aarhus University working with ecology and biodiversity informatics.
Required background: Basic knowledge on Python programming.
Course level: PhD students and young scientists will have priority.
Place: The venue of the workshop is the beautiful Kaløvig Center, Praestekravevej 46,
8410 Roende, Denmark. https://kalovigcenter.dk/en/
Fee: No fee, but participants must cover their own travel expenses. Food and accommodation is provided for all workshop participants.
Application: A short motivation (5 lines stating goals and expectations) and a 1 page CV should be submitted to JB@bios.au.dk latest by 1st March 2019.
Contact: Jesper Bladt (JB@bios.au.dk), Xiaodong Duan (firstname.lastname@example.org), Jesper Erenskjold Moeslund (email@example.com)
Biodiversity Atlas Sweden BAS and Swedish LifeWatch SLW are the key e-infrastructures facilitating biodiversity and ecosystems research in the emerging landscape of biodiversity information systems in Sweden.
BAS and SLW will merge into the joint Swedish Biodiversity Data Infrastructure SBDI, a single e-infrastructure in close collaboration with the Living Atlases community.
During 2019-2020 both partners will closely collaborate to create the joint infrastructure SBDI – continuing to make biodiversity data accessible, providing powerful analysis and visualization tools, and so offering opportunities for innovative, interdisciplinary research on biodiversity and ecosystems. Given continuous funding by the Swedish Research Council (VR), the merger will conclude with the formal establishment of the SBDI consortium in 2021.