This is an invitation to a webinar which is part of the communication activities within the Mistra Carbon Exit research programme. Feel free to pass on the invitation.

The theme, presented by Aaron Qiyu Liu, Chalmers, is Machine learning and material flow analysis to estimate embedded emissions in buildings.

The webinar will be held online, in Teams. To participate, please send an email to johan.rootzen@ivl.se

Agenda:

• Machine learning and material flow analysis to estimate embedded emission in buildings (Aaron Qiyu Liu Chalmers)

Aaron who is a PhD candidate in the Mistra Carbon Exit programme will give a peak into his research work where he uses machine learning and material flow analysis to estimate embedded emissions in buildings.

•  Questions and discussions

•  Updates from the program

 You can find documentation from all of our case study meetings here: https://chalmersuniversity.box.com/s/kijurxo1aa6nzg1ghyz3q6n95u2lsllu

If you have any questions, please contact Johan Rootzén, IVL Swedish Environmental Research Institute or Ida Karlsson, Chalmers University och Technology.