The Green Consumption Assistant (GCA) supports consumers in making more sustainable decisions during online shopping. The GCA displays green product alternatives on the search engine Ecosia and provides information about more sustainable alternatives, for example, references to repair, rental, or sharing options. In addition, sustainable websites will be highlighted on Ecosia and the climate commitments of the organisations and companies will be made transparent in a ranking. For the recommendations of the GCA, a comprehensive product database (Green Database) with ecological and social sustainability information is being built up using machine learning techniques.

The GCA is a collaboration project between the Technische Universität Berlin, the Berliner Hochschule für Technik, and the green search engine Ecosia and is funded by the Bundesumweltministerium as a lighthouse project for artificial intelligence in use for ecological challenges. The project embodies a new, interdisciplinary partnership that combines sustainable and behavioural research with machine learning, user-centered design, and digital product development.

In the project, we rely on cooperation and exchange with various sustainability actors, scientists, and label organisations or online shops, to ensure a reliable and comprehensive data set for the recommendations of the Green Consumption Assistant.

  • Sustainability research
  • Behaviour Research
  • Ecological Impact Assessment
  • Machine Learning
  • Data Science
  • Database
  • User-Centered Design
  • Digital Product Development
  • User Recruitment


Interview at Brain City berlin

In an interview at Brain City Berlin, Prof. Felix Biessmann, who is responsible for the database and the machine learning components, answers questions about the Green Consumption Assistant project. Visit Website

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Green Databases for Algorithms

The new SustAIn magazine provides, among other things, insights into practical examples of sustainable AI and introduces the Green Consumption Assistant. The magazine was created in the project „SustAIn: The Sustainability Index for Artificial Intelligence” by AlgorithmWatch, the Institut für ökologische Wirtschaftsforschung (IÖW), and the DAI-Labor at the Technischen Universität Berlin. Download PDF

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Article: Driving Sustainable Behavior with Persuasive Technology

In the article published by Maike Gossen and Patricia Jankowski, crucial design elements are identified. It is about refining the system and evaluating its effectiveness in changing users’ behaviour. The evaluation is operationalised through the Persuasive System Design (PSD) model.   Gossen, Maike, Jankowski, Patricia (2022): Driving Sustainable Behavior with Persuasive Technology: The Green Consumption…

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