Texas Advanced Computing Center
REDI (Reusable Environments & Digital Infrastructures) is an AI-enabled data ingest tool that enables climate scientists to efficiently upload, describe, and refine their data.
Connecting a single datapoint to the bigger picture
Contextual recommendations are used to increase the impact a scientist’s data can have, ultimately addressing future climate-driven events.
Leveraging feedback loops
Use of this experience goes into a feedback loop, which improves the accuracy of the algorithm’s recommendations over time and enables TACC to better forecast and address climate-driven events.
An accessible look & feel
We leveraged open source assets for TACC as they pursue additional funding.
Strategic underpinnings driven by research & heuristic analysis
We arrived at the design by conducting research with scientists, performing a heuristic analysis of their existing tools, and synthesizing our findings.