Qatalog has the potential to be adapted and adopted in multiple investigative scenarios. The fact that it is designed with and for UN colleagues makes it easy to use beyond in-depth and complicated machine classifiers, text analytics, and APIs.
We’re beta-testing the tool together with UN Entities during 2020 and hope to open-source parts of it at a later stage. Its modular and collaborative structure allows users to recommend new functions for specific needs and collaborate on further updates to the platform at large.
We hope the use of this tool will increase efficiency reducing the time needed to complete certain analyses that provide critical operational information. A platform like Qatalog can also mobilize research agendas from the academic community where AI experts contribute new models that can be imported into the tool.
We foresee a future where AI systems with humans-in-the-loop provide accessible, timely, inexpensive and relevant discussion-based insights. The key is to design and scale collaborative intelligence systems with user feedback. We hope that eventually, the extended use of Qatalog will allow us to create a global public good consisting of a library of AI models that are adapted to different analysis scenarios for development, humanitarian action, and peace & security.