Citizen Science in Savoie: Using Smartphones to Document Biodiversity

Citizen scientists in Savoie, France, have uncovered at least 12 previously undocumented insect species through a crowdsourced photography project, according to local environmental groups leading the initiative. The discovery, verified by regional biologists, highlights how community-driven data collection can accelerate biodiversity research in the face of climate change.

The project, launched in early 2026 by the Savoie Nature regional park in partnership with the University of Savoy Mont Blanc, invited residents to photograph flora and fauna during outdoor activities. Over 3,000 submissions have been logged since May, with 12 species—including a previously unknown species of leafhopper and a rare alpine beetle—identified by entomologists at the National Museum of Natural History in Paris. “We expected to find new records, but not entire species,” said Dr. Élise Moreau, a project lead and biodiversity researcher at the University of Savoy, in a statement. “This shows how much remains undiscovered even in well-studied regions.”

The initiative builds on global trends in citizen science, where smartphone-based data collection has become a key tool for tracking ecological shifts. In 2025, the European Union’s Copernicus program reported that 68% of member states now integrate crowdsourced biodiversity data into conservation policies, up from 32% in 2020. Savoie’s project differs by focusing on micro-level discoveries—species-level identifications rather than broad habitat mapping—using a custom-built AI-assisted classification tool developed by the French National Institute for Agricultural Research (INRAE).

Why it matters: The findings underscore how climate change is reshaping alpine ecosystems. A 2026 study in Nature Climate Change projected that 42% of Savoie’s insect species could face habitat loss by 2050 due to warming temperatures. The newly documented species may already be at risk, as their ranges appear limited to high-altitude microclimates. “These are the canaries in the coal mine,” said Moreau. “If we lose them, we lose critical indicators of ecosystem health.”

The project’s success has prompted calls for expanded funding. The Savoie regional council approved an additional €250,000 in June 2026 to scale the program across the French Alps, with plans to integrate data into the national Observatoire des Insectes platform. Meanwhile, similar initiatives in the Pyrenees and the Jura Mountains have seen a 30% increase in participation since Savoie’s launch, according to a report by France’s National Biodiversity Office.

How it works: Participants use a dedicated mobile app to upload photos, which are then cross-referenced with a database of 1.2 million verified species records. AI flags potential new discoveries for review by expert panels. The tool, trained on data from the Global Biodiversity Information Facility (GBIF), achieved 92% accuracy in preliminary tests, according to INRAE. “The technology isn’t replacing experts—it’s extending their reach,” said Moreau.

What comes next: Researchers plan to sequence the DNA of the newly identified species by year’s end to confirm their taxonomic status. If validated, the discoveries could lead to revisions in regional conservation priorities. “This isn’t just about naming species,” said Moreau. “It’s about understanding how to protect them before they disappear.”

For context: The project aligns with broader efforts like the iNaturalist platform, which has logged over 200 million observations worldwide. However, Savoie’s focus on alpine biodiversity fills a gap in global datasets, where high-elevation ecosystems remain understudied. A 2025 analysis in Ecological Applications found that only 18% of citizen science projects target mountain regions, despite their high endemism rates.

Key figures:

• 12 new species identified (as of June 2026)
• 3,000+ photos submitted by citizens
• €250,000 additional funding approved for expansion
• 92% accuracy rate for AI-assisted classification (INRAE)
• 42% projected habitat loss for Savoie’s insect species by 2050 (Nature Climate Change)

Critics note that crowdsourced data can introduce biases, such as over-representation of easily accessible areas. However, project organizers argue that the volume of submissions mitigates this risk. “With enough eyes, the blind spots become visible,” said Moreau.

For residents interested in participating, the app remains free and open to all. Training sessions are scheduled for July 2026 in Chambéry, Albertville, and Saint-Jean-de-Maurienne.