Fraunhofer Institute for Computer Graphics Research IGDLabelledGreenData4All Community Building Event
Event details
Location
via Zoom
Date
February 04, 2025
Topic: "Annotated Data in the Environmental Sector – Lessons Learned from the LabelledGreenData4All Project"
Annotated data form the foundation for good model development and serve as a driving force for the advancement of AI-driven environmental research. However, the availability of high-quality, harmonized annotated data is severely limited.
The goal of the LabelledGreenData4All project ("Sustainability Potential Analysis for the Feasibility and Effort of Data Annotations for Machine Learning Models") is to develop strategic recommendations for the environmental sector on which application areas and types of data offer the greatest potential for the use of machine learning (ML) models. The project also addresses how the sharing of so-called "labeled" or annotated environmental data from federal research can be supported and how this data can be shared across sectors in data spaces.
In the Community Building Event on February 4th, 2025, from 9:00 to 11:00 AM, we would like to present the results of the project and discuss them with you to identify further research needs. We look forward to an active exchange!
Preliminary Agenda
| Time | Topic | Presenter |
|---|---|---|
| 08:45 – 09:00 | Participant login | Thorsten Reitz, WE |
| 09:00 – 09:15 | Welcome and introduction of the project team | Franziska Hochenegger, WE |
| 09:15 – 09:30 | Presentation of the LabelledGreenData4All project | Cathleen Mitzschke, UBA |
| 09:30 – 10:00 | Annotated Data in the Environmental Sector What political recommendations arise from the needs, potential, and impact? |
Franziska Hochenegger, WE |
| 10:00 – 10:30 | ML Applications with Limited Data Development and prototypical implementation of an approach for handling limited annotated data to generate ML applications in the environmental sector |
Eva Klien, IGD Kevin Kocon, IGD |
| 10:30 – 11:00 | Discussion | All |
Project Team
LabelledGreenData4All relies on an interdisciplinary project team that combines expertise from science and research with private sector interests. The wetransform GmbH team and the Fraunhofer Institute for Computer Graphics Research IGD are working together to explore the power of annotated environmental data sets to drive innovation across sectors.
The 12-month research project Nachhaltigkeitspotentialanalyse für die Zweckmäßigkeit und den Aufwand von Datenannotationen für Machine Learning-Modelle [Analysis of Sustainability Potential for the Suitability and Complexity of Data Annotations for Machine Learning Models] from the departmental research plan of the German Federal Ministry for the Environment, Nature Conservation, Nuclear Safety and Consumer Protection is being carried out on behalf of the German Federal Environment Ministry. Project code number: FKZ 3723 11 602 0.