Citizen Science databases (e.g. GBIF, iNaturalist) are full of opportunistic observations and offer a massive, cost-efficient alternative to professional surveys. …
In order to make the most of the data we collect, we as scientists need to make data FAIR; Findable, Accessible, Interoperable and Reusable. This was the focus of a 2 day Living Norway seminar at the Norwegian Institute for Nature Research (NINA).
From May 13th to May 15th 2019, the Aarhus University organized a workshop “Machine Learning for Biologists” in idyllic Rønde, Denmark. Jan and Wouter participated and share their experiences.
Citizen Science databases (e.g. GBIF, iNaturalist) are full of opportunistic observations and offer a massive, cost-efficient alternative to professional surveys. …
Monitoring biodiversity in Europe is usually very costly and time consuming and often resources from governments are limited. A new scientific …
Bayesian modelling over the past decade has become an integral part of statistical modelling in ecological and conservational studies. Given …
In order to make the most of the data we collect, we as scientists need to make data FAIR; Findable, Accessible, Interoperable and Reusable. This was the focus of a 2 day Living Norway seminar at the Norwegian Institute for Nature Research (NINA).
From May 13th to May 15th 2019, the Aarhus University organized a workshop “Machine Learning for Biologists” in idyllic Rønde, Denmark. Jan and Wouter participated and share their experiences.