ZORA Publication List

Publications

• 2026

  • Almeida, E., Rastoka, J., Colesanti Senni, C., & Weigand, L. N. (2026). Analyzing the indirect effects of nature-related shocks on the economy: methodological approaches and insights (No. 86; URPP Equality of Opportunity Discussion Paper Series). https://www.urpp-equality.uzh.ch/dam/jcr:00bb5cb4-f9e2-4ffb-8656-2b3171d805a0/86_URPP_Chapter3_LWeigand_updated.pdf

• 2025

  • Kolli, I., Vaghefi, S., Colesanti Senni, C., Raj, S., & Leippold, M. (2025). Automated Evidence Extraction and Scoring for Corporate Climate Policy Engagement: A Multilingual RAG Approach (I. Habernal, P. Schulam, & J. Tiedemann, Eds.; pp. 111–129). Association for Computational Linguistics. https://doi.org/10.18653/v1/2025.emnlp-demos.9
  • Colesanti Senni, C., Vaghefi, A. S., Manekar, T., Schimanski, T., & Leippold, M. (2025). Using AI to assess the decision-usefulness of corporates’ nature-related disclosures Environmental Research Communications, 7, 115006. https://doi.org/10.1088/2515-7620/ae1357
  • Leippold, M., Vaghefi, S. A., Stammbach, D., Muccione, V., Bingler, J., Ni, J., Colesanti Senni, C., Wekhof, T., Schimanski, T., Gostlow, G., Yu, T., Luterbacher, J., & Huggel, C. (2025). Automated fact-checking of climate claims with large language models Npj Climate Action, 4, 17. https://doi.org/10.1038/s44168-025-00215-8
  • Colesanti Senni, C., Schimanski, T., Bingler, J., Ni, J., & Leippold, M. (2025). Using AI to assess corporate climate transition disclosures Environmental Research, 7, 021010. https://doi.org/10.1088/2515-7620/ad9e88

• 2024

  • Colesanti Senni, C., Goel, S., & von Jagow, A. (2024). Economic and financial consequences of water risks: The case of hydropower Ecological Economics, 218, 108048. https://doi.org/10.1016/j.ecolecon.2023.108048

• 2023

  • Ni, J., Bingler, J., Colesanti Senni, C., Kraus, M., Gostlow, G., Schimanski, T., Stammbach, D., Ashraf Vaghefi, S., Wang, Q., Webersinke, N., Wekhof, T., Yu, T., & Leippold, M. (2023). CHATREPORT: Democratizing Sustainability Disclosure Analysis through LLM-based Tools Proceedings of the Conference on Empirical Methods in Natural Language Processing, 21–51. https://doi.org/10.18653/v1/2023.emnlp-demo.3

• 2022

  • Bingler, J. A., Colesanti Senni, C., & Monnin, P. (2022). Understand what you measure: Where climate transition risk metrics converge and why they diverge Finance Research Letters, 50, 103265. https://doi.org/10.1016/j.frl.2022.103265