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What software and methodologies do data scientists employ to assess the environmental impact of products or services? 


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Data scientists utilize various software and methodologies to assess the environmental impact of products or services. Software tools like DIMPACT enable the calculation of energy consumption and environmental impact across the entire product system, including data centers and user devices . Additionally, the choice of software-database combinations, such as GaBi, ecoinvent, and Environmental Footprint databases in tools like openLCA, influences impact assessment results, with differences observed in various impact categories . To streamline the process for large product portfolios, the Sustainability Data Science Life Cycle (S-DSLC) concept integrates LCA frameworks with data mining processes and automation tools, enhancing scalability and applicability of LCA results in different business processes . Various software tools offer databases with lifecycle information, aiding in impact analysis and result interpretation, although regional data nuances should be considered for accurate assessments .

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Data scientists use software like SimaPro, Umberto, and LCAPIX, employing various impact assessment methods such as CML 1992 and Eco-indicator 99 to evaluate environmental impacts in Life Cycle Assessment studies.
Data scientists use the DIMPACT tool, based on standard methodologies, to assess the environmental impact of digital services. It calculates energy consumption and environmental effects across the entire product system.
Data scientists use software-database combinations like GaBi, ecoinvent 3.6, and Environmental Footprint Database with the EF 2.0 LCIA method to assess environmental impact, emphasizing knowledge of product systems and database quality.
Data scientists use the Sustainability Data Science Life Cycle (S-DSLC) integrating LCA, CRISP-DM, and DSLC, automating data preparation, model generation, and Impact Assessment for environmental analysis.

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