Improving Transparency and Data Quality by Facilitating the Integration of Regionalized Data on Feed Impacts – 9h00 to 12h30
GFLI will attend the LCAfood 2026 conference, and organize a workshop on the first day of the conference.
An interactive workshop, where GFLI aims to: support the implementation of transparent and rigorous methods and procedures for generating more accurate and regionally representative data; give participants the opportunity to visualize how regional modeling varies with respect to different ecosystems/agricultural practices, and see how the use of higher tier data impacts footprint results; and share how its new Data-in Generator (DIG) tool can facilitate the calculation of higher tier data.
Through dialogue and practical scenario analyses, the workshop will address key issues such as acceptable criteria and procedures for validating higher tier models, and questions facing data users regarding the comparability of regionalized datasets.
The target audience includes students as well as expert LCA practitioners. The participatory, hands-on workshop format will bring added value by helping participants work through scenario analyses to gain a deeper understanding of how higher tier models differ from tier 1 models, and how calculated results can vary when different tiers of data are used.
Location:
DoubleTree, Hilton, 1255 Rue Jeanne-Mance, Montréal, QC H5B 1E5, Canada
Date & time:
October 12, 2026
9:00 – 12:30AM Half day workshop
You can follow our workshop by registering to the LCAFood conference and toggling the morning session workshop (275 Canadian Dollars CAD$). Registration to the workshop can you find on the second page of the LCAFood event registration form under the “Half-day Workshops” drop down menu. Registration deadline is the 2nd of October. We hope to see you there!
* For the general terms and conditions relating to the event and workshop, please refer to the LCA Food website.