The NFDI4Earth Incubator Lab
The Incubator Lab fosters novel data science developments for ESS in dedicated focused projects by funding of short projects (up to 6 month). Exploring innovative and blue sky developments is explicitly encouraged even if it leads to a negative result in the course of the project. The objective is to steer the exploration of new, potentially relevant building blocks to be included in NFDI4Earth and related NFDIs. Examples are tools for automatic metadata extraction and annotation, semantic mapping and harmonization, machine learning, data fusion, visualization, and interaction. The Incubator Lab also serves as a forum where novel requirements can be formulated and trends presented in terms of a user consultation process.
Calls
The first call was published in April 2022. There were 23 submissions from 7 different research areas and 4 funded projects (Media 1).
The second call was published in June 2023. There were 11 submissions from 4 different research areas and 5 funded projects (Media 2).
The third call was launched for the 2025 project cycle, attracting 17 submissions. From this pool, five incubator projects were selected to run between June 2025 and November 2025. This cohort includes innovative initiatives such as ELaborate Particle Analysis from Satellite Observations (EL PASO), PhenoMapping: A participatory visual tool for curation and verification of historical phenological data, and Visual Question-Answering for Thematic Maps. Additionally, the round funded LLM-enabled I-ADOPT Variable Extraction using Semantics alongside Mapping Research in Earth System Sciences (MaRESS).