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High Throughput Environmental Assessment Pipeline


The High Throughput Environmental Assessment Pipeline (HiTEA) project will build an end-user friendly tool for sophisticated sensitivity and uncertainty analysis towards reaching the Sustainable Development Goals (SDGs).

HiTEA will make it simple, fast and cost-effective for researchers to perform thousands of model runs when they would previously only undertake one. The main impact will be to change the standard practice of point estimates in environmental assessments to exploration of solution spaces. By integrating life-cycle assessments and supply-chain analysis into parameterized scenarios, the likelihood of “problems” and “opportunities” can be realized, with direct benefits for better information on long-term sustainability policy design.

The HiTEA architecture combines emerging digital container technologies, in memory column storage and interactive notebooks. HiTEA is planned to run on various e-infrastructure systems ranging from local multi-core servers, to HPC infrastructure at NTNU (OpenStack), Sigma2 (Nird Toolbox) and to commercial Kubernetes based cloud services like Amazon AWS and MS Azure. After reaching a mature software product, we aim to include HiTEA into the service catalogue of the EOSCHub.

Case studies connected to SDGs will be conducted during the project. These run in parallel to the software development, providing the feedback needed to ensure software which thoroughly meets scientific user requirements. To do so, the project adopts industry standard Agile Software Development practices for the use in scientific software development.

HiTEA embraces Open Source development. Besides maximizing outreach and exploitation, this will provide feedback on the usability and required capabilities already during the development phase. In addition, it actively encourages code contributions and usage from outside the project team to deliver a tool fully owned by the sustainability science community.



The Journal of Open Source Software

Konstantin Stadler

A Python Based Multi-Regional Input-Output Analysis Toolbox ... read more


Konstantin Stadler

Manager and Lead Researcher of the Digital Laboratory, Industrial Ecology Programme, NTNU Trondheim

Radek Lonka

Senior Software Engineer at IE Digital Lab

Mohamed Badr

PhD Candidate at Industrial Ecology programme