Collaboration

This is our internal collaboration site, where team collaborators can get access to our project efforts, code repos, data sharing, research notebooks, and other research driven services that we don’t want to expose to the public. There are sections below that are specific to a project – as well as more generalized team management. If you have questions or need to update some portion, email Erich or the assigned student coordinator.

Active Projects (April 2024)

ICREWS: EPSCoR 1

Idaho’s new $24 million NSF EPSCoR RII project, I-CREWS, aims to address the impact of climate, population, and technological change on energy-water (E-W) systems.

W2L: EPSCoR 2

The RII Track-2: Where We Live (W2L) Local and Place Based Adaptation to Climate Change in Underserved Rural Communities project builds national research competitiveness and capacity to addressing the critical national need of proactively addressing climate change in underserved rural communities.

NIH: Maternal Health

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State of Idaho: BRFSS

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Team Management

Code Access

We currently have a private Github organizational account, where we collaborate on repositories which house our main modeling code. You must be an authenticated member of the team to access these private repositories, and have an acceptable level of competency in github version control, cloning, pull requests, etc. You can access this private github group here: http://github.com/hac-lab

Data and File Access

Owncloud is an open source cloud based storage system, maintained by the University of Idaho. The HAC Lab uses owncloud to store data and other materials/documents. You will need an assigned login to access.

Research Notebooks

Notion is a collaboration tool which we use to share informal information, tasks, project plans, and research notebooks.

Dashboards and Viz

Our HAC Lab dashboards are currently Shiny based applications. These are development dashboards, which allow our team to dynamically run models, and review outputs. These dashboards are not shared outside of the research team. Once refined and confirmed to be ready for exposure, model results can be pushed to our external dashboards and API.