This repo is for the planning and execution of the BONSAI Hackathon in Barcelona from March 25-29, 2019. We are also using a mailing list for organization and team communication - you are welcome to join, or browse without subscribing!
This repository, as well as the broader BONSAI effort, is happy to have your contribution! You are welcome to add your thoughts to existing documents, or create new ones. If you are already a hackathon participant, you can make changes directly to the master branch; otherwise, please fork the repo and create a pull request.
Please note that participation in and contribution to the BONSAI hackathon is subject to the code of conduct.
Sustainability assessment, and life cycle assessment (LCA) in particular, is to a large extent built on cathedrals - large background databases, erected by the efforts of many people over a long period of time, but which are now both expensive and exclusive, and whose gatekeepers limit access to both the data and decisions on its management. BONSAI believes in another model, a bazaar where the entire community can contribute to data generation, validation, and management decisions. We strongly feel that an open database is more transparent and more reproducible, and therefore the only option for the science of life cycle assessment. Such databases are also a prerequisite for LCA studies being used to support democratic decision making.
The BONSAI hackathon will be a first step in turning the ideals and standards developed by the efforts of the BONSAI team over the last five years into an open source toolchain capable of supporting LCA calculations.
- RDF approaches to knowledge management have numerous benefits (such as allowing to link different data sources consistently) and wide application but it's unclear how these can be integrated with 'classic' LCA databases.
- More background on the relationships and open issues with LCA and open data here and here.
See also the working group dependency chart.
Create a model that queries the ENTSO-E API to create dynamic electricity market mixes.
- Source code
- Project management
- Built on the Python library skeleton
- Follow the BONSAI specifications for transparent, reproducible, and open models
- Inputs and outputs follow the BONSAI RDF ontology
Deliverable: Complete working model by the end of the hackathon.
Stretch goal: Can be packaged in Docker and run as a web service.
Group members: Arthur, Brandon, Carlos, Chris, Elias Coordinator: Chris
In addition to the following, we intend to submit 1-2 scientific publications on the hackathon results after its conclusion.
This is based on the description at https://github.com/BONSAMURAIS/bonsai/wiki/Data-Storage#specify-minimum-core-data-and-metadata-formats - to be formalised as a proper ontology pattern and an RDF schema.
To cover all aspects of Industrial Ecology, we would have to add "agents" of activities, as in the "minimal ontology pattern", "assets" of these agents, and "behavioral rules" governing the interaction with their activities. This may be beyond the current hackathon.
This is being developed in the bentso repository.
Stretch goal 2: A set of global and regional independent validation data, and webpage tracking our values with these validation targets
Stretch goal 3: A simple web-based tool to easily match CSV/Excel tables to the developed ontology using a ML text classifier
Stretch goal 4: A simple web-based tool to compare directly competing statements present in the database
For example, if we have incorporate muliple EEMRIO databases at some point - or if we import new data that is more recent/disaggregated/otherwise different than existing data.
Similar to reports from the LCA discussion forum. Not peer reviewed. All participants as authors.
Must be open access. Authorship to be determined by contribution to paper writing. All participants acknowledged.
Must be open access. Authorship to be determined by contribution to paper writing. All participants acknowledged.
Must be open access. Authorship to be determined by contribution to paper writing.