CrisisReady, a research collaboration between the Harvard Data Science Initiative and Direct Relief, aims to advance data-driven decision making in emergency scenarios. They work with emergency and disaster response teams globally to provide real-time disaster reports and analysis, thereby increasing situational awareness and preparedness. However, their method of generating reports for their stakeholders was clunky and cumbersome and they wanted a more elegant, intuitive solution for aggregating and analyzing a multitude of highly variegated data sets.

We designed and developed a platform, called ReadyMapper to help them streamline this process. The platforms allows a user to analyze real-time data from a variety of sources to glean insights and then quickly customize a report to distribute to decision-makers at the front line.