Reviving Archives through AI
An AI-driven project transforming Assafir’s legacy archive into interactive, data-rich, digital storytelling formats for contemporary audiences.
Data Visualization
AI Solutions
Assafir
An AI-driven project transforming Assafir’s legacy archive into interactive, data-rich, digital storytelling formats for contemporary audiences.
Data Visualization
AI Solutions
Assafir
This project demonstrates how legacy journalistic archives can be revitalized through AI, data storytelling, and interactive design. It works with the digitized archive of Assafir, a leading Lebanese daily newspaper that shaped political and cultural debate across the Arab world for decades, to produce four prototypes that translate print-era reporting into dynamic, digital-first formats. These include:
Beyond its initial prototypes, the project offers a scalable and sustainable model for the future of archives. It shows how historical material can remain relevant to contemporary debates, how legacy media can collaborate with digital-native teams, and how static archives can become interactive public resources.
By bridging qualitative storytelling with quantitative insight, the project lays the groundwork for a long-term digital library while providing a replicable framework for other media organizations seeking to modernize their archives and re-engage audiences.