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.
In one of our last sessions in this course we were joined by orcid:0000-0002-2352-5497, also known as Dag Endresen. Dag …
Machine learning (ML) has become an interesting part of data analysis in the last decade. Many applications of ML have …
With the alarming increase in consumption we face every day at the expense of natural resources and land use transformation, …
With the dark and cold winter coming to Norway we switched environment once again and we came back to the …
Was Charles Darwin a citizen scientist, when boarding, as a yet untrained naturalist, the HMS Beagle to make observations that …
As our PhD course in citizen science continues, we’ve moved from the field to our computers to explore some analysis …
Wednesday (September 23rd), the entire group met up at the local hiking area near Byåsen to get some actual real-life …
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.