@article{august2025using,
    type = {article},
    key = {august2025using},
    title = {Using Image-based AI for Insect Monitoring and Conservation - InsectAI COST Action},
    author = {Tom August and Mario V Balzan and Paul Bodesheim and Gunnar Brehm and Lisette Cantú-Salazar and Sílvia Castro and Joseph Chipperfield and Guillaume Ghisbain and Alba Gomez-Segura and Jérémie Goulnik and Quentin Groom and Laurens Hogeweg and Chantal Huijbers and Andreas Kamilaris and Karolis Kazlauskis and Wouter Koch and Dimitri Korsch and João Loureiro and Youri Martin and Angeliki F Martinou and Kent McFarland and Xavier Mestdagh and Denis Michez and Charlie Outhwaite and Luca Pegoraro and Nadja Pernat and Lars B. Pettersson and Pavel Pipek and Cristina Preda and David Rolnick and Tobias Roth and David B. Roy and Helen Roy and Veljo Runnel and Martina Sasic and Dmitry Schigel and Julie Koch Sheard and Cecilie Svenningsen and Heliana Teixeira and Nicolas Titeux and Thomas Tscheulin and Elli Tzirkalli and Marijn van der Velde and Roel van Klink and Nicolas J Vereecken and Sarah Vray and Toke Thomas Høye},
    year = {2025},
    journal = {Research Ideas and Outcomes},
    volume = {11},
    pages = {e134825},
    publisher = {Pensoft Publishers},
    issn = {2367--7163},
    doi = {10.3897/rio.10.e134825},
    abstract = {The InsectAI COST action will support insect monitoring and conservation at the national and continental scale in order to understand and counteract widespread insect declines. The Action will bring together a critical mass of researchers and stakeholders in image-based insect AI technologies to direct and drive the research agenda, build research capacity across Europe and support innovation and application.There is mounting evidence that populations of insects around the world are in sharp decline. Understanding trends in species and their drivers is key to knowing the size of the challenge, its causes and how to address it. To identify solutions that lead to sustainable biodiversity alongside economic prosperity, insect monitoring should be efficient and provide standardised and frequently updated status indicators to guide conservation actions.The EU Biodiversity Strategy 2030 identifies the critical challenge of delivering standardised information about the state of nature and image-based insect AI can contribute to this. Specifically, the EU Nature Restoration Law will likely set binding targets for the high resolution data that cameras can provide. Thus, outputs of the Action will contribute directly to EU policies implementation, where biodiversity monitoring is considered a key component.The InsectAI COST Action will organise workshops, conferences, short-term scientific missions, hackathons, design-sprints and much more, across four Working Groups. These groups will address how image-based insect AI technologies can best address Societal Needs, support innovation in Image Collection hardware, create standardised approaches for Image Processing and develop novel Data Analysis and Integration methods for turning data into actionable insights.},
}