MIRACLE cloud workshop
Web-based reproducible data analysis: A workshop using the MIRACLE cloud computing platform for the analysis and archiving of computer model output
Cloud computing, and new standards for reproducibility, are changing the way we do science with models. It is changing best practices and what is required to get published.
Do you work with simulation models? Have you encountered challenges in any of the following areas?
- Sharing data analysis and visualization methods/code/results within your group
- Communicating your data analysis process and results with external stakeholders
- Reusing other researchers’ analysis methods and scripts
- Reproducing analyses for publication review and funding application
- Archiving and managing your data and metadata
Join us for a workshop on using the MIRACLE software.
The workshop will take place from 2:30 p.m. - 3:50 p.m. in Environment 3, room 3412, on Thursday, November 3.
Please RSVP at Eventbrite with your name and research field.
Background:
Computer simulation models of social and environmental systems often have stochastic elements and many potential parameter combinations. Often, multiple model runs that sweep parameters are conducted, creating large quantities of computationally generated, hyper-dimensional, “big data.” Understanding the models’ implications requires structured exploration of these complex output data. This challenge is complicated because computational work is often achieved through one-off, poorly documented computer code, accessible to a single researcher or research group, and often not archived properly for future exploration and development.
In response to this need, the MIRACLE projec,t led by Primary investigator Dawn Parker, has created a new cloud computing platform for the exploration, analysis, and archiving of computer model output data. The web application lets researchers rerun archived data analysis workflows with different parameters and perform ad-hoc data visualization and exploration over high dimensional ABM output data using just a web browser and without any complex software requirement. We anticipate that the platform will facilitate improved communication within research groups, as well as increasing access and transparency for external communities.