Supporting building stock transformation and a circular
25 May 22, 10:45 - 12:30
The BuiltHub project seeks to develop a roadmap to continuously enhance the data needed to decide on building-related policy and business through a data platform and community of stakeholders. Join us on 25 May at 10:45 as we dive into the value of machine-learning methods for data prediction and construction & demolition waste data analysis for a circular economy.
In this second workshop for the BuiltHub project, participants will see an update of the BuiltHub data platform, gain insight into the data collected thus far. The BuiltHub platform should be a valuable resource for all users, which is why during this workshop the needs and values of users will be strongly considered. This idea of co-creating the platform is what we believe will be an important factor for its success.
The workshop will proceed as follows:
10:45 – 10:55 Welcome and icebreaker
10:55 – 11:10 News from BuiltHub
Featuring: Ulrich Filippi Oberegger, Eurac Research, Institute for Renewable Energy
11:10 – 11:40 Workshop session #1: Machine learning methods to predict building data
Featuring: Mikael Mangold, Tim Johansson and Pei-Yu Wu from the Research Institutes of Sweden (RISE)
11:40 – 12:10 Workshop session #2: Construction & demolition waste data analysis to support a circular economy
Featuring: Gianluca Grazieschi and Simon Pezzutto from Eurac Research, Institute for Renewable Energy
12:10 – 12:25 Q&A and wrap-up
We invite all stakeholders with an interest in a European building data platform to attend; this includes but is not limited to: policy makers, local or national authorities, energy agencies and construction and renovation industry experts and researchers.