August, T., Balzan, M. V., Bodesheim, P., Brehm, G., Cantú-Salazar, L., Castro, S., Chipperfield, J., Ghisbain, G., Gomez-Segura, A., Goulnik, J., Groom, Q., Hogeweg, L., Huijbers, C., Kamilaris, A., Kazlauskis, K., Koch, W., Korsch, D., Loureiro, J., Martin, Y., Martinou, A. F., McFarland, K., Mestdagh, X., Michez, D., Outhwaite, C., Pegoraro, L., Pernat, N., Pettersson, L. B., Pipek, P., Preda, C., Rolnick, D., Roth, T., Roy, D. B., Roy, H., Runnel, V., Sasic, M., Schigel, D., Sheard, J. K., Svenningsen, C., Teixeira, H., Titeux, N., Tscheulin, T., Tzirkalli, E., van der Velde, M., van Klink, R., Vereecken, N. J., Vray, S., & Høye, T. T. (2025). Using Image-based AI for Insect Monitoring and Conservation - InsectAI COST Action. Research Ideas and Outcomes, 11, e134825. https://doi.org/10.3897/rio.10.e134825