This is a master's research project investigating how artificial intelligence can guide users to capture higher-quality fossil images and provide important metadata, improving image collection and fossil classification. September 2025 - January 2026
A research project investigating narrative-based user interfaces as an alternative to traditional form-based data collection methods for AI fossil identification, conducted as part of the LegaSea project.
September 2025 - June 2026This repository contains all the relevant code for the development of the LegaSea citizen science application backend.
September 2025 - January 2026This project aims to explore a novel citizen science that uses AI not just for post-upload identification, but for real-time guidance and natural language driven data collection, communication and consultation within the paleontology community. Current fossil data collection process is static, slow, and limited by inconsistent data quality and form-based inputs. There is no mobile interactive solution to support fossil identification in the field. To answer our research questions, we need to improve input data quality and quantity by improving user engagement and experience on edge. We explore this under HAICu in an interdiciplinary team from Fontys ICT, Naturalis, and Tilburg University.
Our team is growing! We welcome 8 enthusiastic students (2 groups) from Fontys ICT Bachelor's Mobile Apps Development, working on the Fossil Citizen Science App from 30th of October 2025. Two insipring demonstrators will be propsoed by these teams in January 2026.
