Janette Siebert

Janette Siebert M.Sc. is a researcher at the Institute of Zoology, Department of Biotechnology and Food Science, University of Natural Resources and Life Sciences, Vienna (BOKU). Her work is centered on citizen science initiatives in biodiversity and conservation, with a focus on amphibians and wildlife roadkill monitoring.

• Institution: University of Natural Resources and Life Sciences, Vienna (BOKU)
• School: Department of Biotechnology and Food Science
• Department: Institute of Zoology
• Email: janette.siebert@boku.ac.at
• ORCID: 0000-0001-6537-1441

Her research interests include citizen science, conservation biology, amphibian ecology (especially the European green toad), genetic detection of species, and automated acoustic monitoring. She investigates habitat use, loss, and creation through community-based science projects.

The recent publications and projects indicate a strong trend in using interdisciplinary methods—combining molecular biology, acoustics, spatial analysis, and public participation—to study and mitigate biodiversity loss. Her work often involves collaboration with environmental scientists, data analysts, and conservation practitioners.

While no formal scientific awards are listed, her contributions to knowledge transfer through popular science articles, media appearances, and conference presentations highlight her engagement in public science communication.

She is involved in advising and public outreach through citizen science projects but currently has no supervised theses listed. She contributes to grant-funded research projects such as 'Genetic detection and road-kill hotspot analysis' and 'Green toads in changing times,' which are supported by Austrian federal states and ministries.

Janette Siebert is part of active research teams focusing on environmental monitoring and conservation, particularly through citizen science platforms. She collaborates with researchers like Florian Heigl, Lukas Landler, and others in the Citizen Science Network Austria, contributing to large-scale ecological data collection and analysis.