Through this understanding, we build formalizations and systems that that make it easier for humans to effectively interact with data. HuDa, thus, addresses the critical bottleneck in today’s data analysis: this bottleneck is not the lack of data, or our ability to analyze it at scale, but the lack of human cognition and time to build and understand data processes.
The HuDa Interaction Lab has made several research contributions in the following areas:
- novel querying paradigms for prescriptive analytics
- example-driven Interfaces for data tasks
- debugging complex data analytics
- teaching and democratizing data science
Incidentally, Huda in Arabic means guidance. We hope to build tools that guide humans through better data analysis and data-driven decision-making.