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

News

Paper in "Frontiers in Big Data"

Paper: A Benchmark for Data Imputation Methods

Improving the data quality of applications that use machine learning (ML) helps to increase their performance and enables the use of more efficient models. One of the most common problems of data quality is missing values. In this peer-reviewed article, Sebastian Jäger, Arndt Allhorn, and Felix Bießmann evaluated different methods based on different data sets…

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GCA Working Paper I – Scaling Sustainability Advice

We are proud to publish the first working paper for the Green Consumption Assistant project. In this paper, our colleague Cathérine Lehmann summarises our decision-making processes for sustainable product recommendations, as well as possible approaches for scaling up. Abstract Data availability on the sustainability of products is low which poses challenges for actors from all…

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Product-Update I: First Beta Version of the Assistant

1st. Extension Version: Smartphones At the beginning of the project, after a market research and the evaluation of thousands of search requests on Ecosia, we decided to develop a browser extension for product recommendations and to start with the product category „smartphones”. In the long run, it is an advantage that a browser extension triggers…

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