• The role of cities as entry points for introduced species
    The successful colonization of new environments by alien plant species highly depends on local environmental conditions. In this recent paper …
  • Social aspects of Citizen Science
    In our last session of this course we got introduced to René van der Wal, Professor of Environmental Citizen Science at the Swedish University of Agricultural Sciences (SLU), whose research addresses the impact of participating in citizen science on participants and the broader impacts of citizen science on society as a whole.
  • GBIF
    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 for Citizen Science
    Machine learning (ML) has become an interesting part of data analysis in the last decade. Many applications of ML have …
  • The importance of Citizen Science for Life Cycle Assessment
    With the alarming increase in consumption we face every day at the expense of natural resources and land use transformation, …
  • Value of Information and Citizen Science!
    With the dark and cold winter coming to Norway we switched environment once again and we came back to the …
  • What is citizen science? Who are citizens and do they want feedback?
    Was Charles Darwin a citizen scientist, when boarding, as a yet untrained naturalist, the HMS Beagle to make observations that …
  • Point process models for citizen science data
    As our PhD course in citizen science continues, we’ve moved from the field to our computers to explore some analysis …
  • Citizen science field trip
    Wednesday (September 23rd), the entire group met up at the local hiking area near Byåsen to get some actual real-life …
  • Bias in Citizen Science data
    Citizen Science databases (e.g. GBIF, iNaturalist) are full of opportunistic observations and offer a massive, cost-efficient alternative to professional surveys. …
  • Hunters as citizen scientists
    Monitoring biodiversity in Europe is usually very costly and time consuming and often resources from governments are limited. A new scientific …
  • Statistics Symposium (27.09.2019 – 28.09.2019)
    Bayesian modelling over the past decade has become an integral part of statistical modelling in ecological and conservational studies. Given …
  • FAIR seminar
    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).
  • Machine Learning for Biologists
    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.