Lab
Tech & AI/ML Innovation for Sustainability
Research Area SELECTION
Green LLM
Domain specialization of LLMs for sustainability use cases
NLP Data Extraction & Profiling
Text and data extraction from sustainability sources for profiling
Data & Fact Checking
Data, text and fact checking for data quality validation
Greenwashing detection
Detection of exagerated or wrong sustainability statements
AI Research Agents
Autonomous execution of research tasks
Recommender Systems
Individualized recommendation for actions and solutions
Impact Assessment
Dynamic impact quantification of actions and solutions on fields
Risk assessments
Climate and supply chain risks detection and quantification
Lab Network
Think+do tanks, company builders and academics to collaborate on R&D in technology and AI/ML for sustainability and related use case fields.
Funding Institutions
R&D projects are funded in collaboration with funding institutions.
REFERENCES and DOCUMENTS
Publications of score4more team members
Schimanski, T., Lewandowski, S., Woerle, C., Leippold, M. (2026): UsefulBench: Towards Decision-Useful Information as a Target for Information Retrieval. To be published.
Wang, Y., Preiß, M., Bugueño, M., Hoffbauer, J.V., Ghajar, A., Buz, T., de Melo, G. (2025): ReFACT: A Benchmark for Scientific Confabulation Detection with Positional Error Annotations. Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics. 1, 8174-8187.
Preiß, M. (2025): Hallucination Detection with the Internal Layers of LLMs. arXiv preprint arXiv:2509.14254.
Fjornes, J., Hansjürgens, J., Keil, M., Kirchhoff, J.K., Offermann, J., Rohowsky, A., Weinberger, R., Astrup, F., Arning, K., Ziefle, M., Ulmer, A., Knopf, J. (2024): Nachhaltige Reinvestitionen in Unternehmen – Empirische Befunde und Implikationen für Unternehmen und Politik. Projekt enri – Entscheidungsfaktoren nachhaltiger Re-Investments. Projektbericht.
- Kirchhoff, J.K., Astrup, F., Weinberger, R., Knopf, J. (2024): Nachhaltige Investitionen für die Transformation der Wirtschaft – Einblicke in die Investitionen von acht unternehmerischen Klima-Champions. Projekt enri. Hochschule Eberswalde.
- Lewandowski, S., Ullrich, A. (2023): Measures to reduce corporate GHG emissions: A review-based taxonomy and survey-based cluster analysis of their application and perceived effectiveness. Journal of Environmental Management. 325, 116437.
- Lewandowski, S., Ullrich, A. (2022): Measures for reducing the carbon footprint in companies – A survey on their application and perceived effectiveness. GITO, DOI 10.30844/Lewandowski_2022.
- Lewandowski, S., Ullrich, A. (2022): Improvements for calculating and labeling the product carbon footprint on the basis of the Nutri-Score. Whitepaper, University of Potsdam. 10.13140/RG.2.2.21713.81760.
Günther, H.O., Kannegiesser, M., Autenrieb, N. (2015): The role of electric vehicles for supply chain sustainability in the automotive industry. Journal of Cleaner Production. 90, 220-233.
- Kannegiesser, M., Günther, H.O., Autenrieb, N. (2015): The time-to-sustainability optimization strategy for sustainable supply network design. Journal of Cleaner Production. 108, 451-463
- Günther, H.O., Kannegiesser, M., Autenrieb, N. (2015): Strategies for optimizing the sustainable development of supply chains in the automotive industry. Proceedings of the Korean Institute of Industrial Engineers Spring Joint Conference. 761-773
- Kannegiesser, M., Günther, H.O. (2014): Sustainable development of global supply chains—part 1: sustainability optimization framework. Flexible Services and Manufacturing Journal. 26 (1), 24-47.
- Kannegiesser, M., Günther, H.O., Gylfason, Ó. (2014): Sustainable development of global supply chains – part 2: investigation of the European automotive industry. Flexible Services and Manufacturing Journal. 26 (1), 48-68.
R&D project-related documents