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AI for automatisation of administration und detection of criminal activities in emissions trading

Description

The aim of the project is to investigate the possibilities of AI methods for identifying errors and attempted fraud in emissions trading. Based on historical data, this will be examined separately for applications to open accounts in the German Emissions Registry and for allocation or emissions reports. In a third step, it will be examined whether AI approaches can also be used to prevent money laundering.

Key Data

Projectlead

Prof. Dr. Regina Betz, Jakob Graichen

Deputy Projectlead

Raphaela Kotsch, Nora Wissner

Project team

Dr. Johanna Cludius, Prof. Dr. Manuel Günther, Christian Winger

Project partners

Öko-Institut e.V.; Universität Zürich

Project status

ongoing, started 01/2023

Funding partner

Deutsche Emissionshandelsstelle DEHSt

Project budget

47'500 CHF