Manchester Metropolitan University's Research Repository

    CodeCheck: How do our food choices affect climate change?

    Williams, Angus, Boustati, Ayman, Ezer, Daphne, Arenas, Diego, de Wiljes, Jan-Hendrik, Chang, Marina, Varga, Marton, Groves, Matthew, Drikvandi, Reza ORCID logoORCID: https://orcid.org/0000-0002-7245-9713 and Ceritli, Taha (2018) CodeCheck: How do our food choices affect climate change? Project Report. The Alan Turing Institute.


    Available under License Creative Commons Attribution Non-commercial Share Alike.

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    Different approaches were proposed to predict the carbon footprint of products from the different datasets provided by CodeCheck. Multivariate linear regression and random forest regression models perform well in predicting carbon footprint, especially when - in addition to the nutrition information - the product categories, learned through Latent Dirichlet Allocation (LDA), were used as extra features in the models. The prediction accuracy of the models that were considered varied across datasets. A potential way to display the footprint estimates in the app was proposed.

    Impact and Reach


    Activity Overview
    6 month trend
    6 month trend

    Additional statistics for this dataset are available via IRStats2.


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