A data-driven approach to identifying peace opportunities

Didi is a new tool that offers a fresh approach based on data models. These data models currently report from 60 Hebrew–Israeli news outlets and 30 Arabic–Palestinian news sources, the platform generates a real-time data model designed to identify moments when conditions may be favourable for peace negotiations between Israel and Gaza. By bringing together information from media ecosystems that rarely intersect, the tool seeks to create a more comprehensive picture of the public mood and political climate across both communities.

Turning ripeness theory into practice

The idea for Didi comes from Shawn, a Canadian-born founder who has lived in Israel since 2010. His long-held wish to contribute to a future based on coexistence and a two-state solution has shaped the direction of the startup. Rather than proposing political answers, the platform focuses on identifying moments of ripeness, a cornerstone theory in diplomacy and negotiations that, when present, increases the likelihood of successful negotiations and their ratification. By analysing patterns in language, sentiment, and events across different narratives, the tool aims to help professionals working in diplomacy, policy and mediation to recognise shifts that might otherwise go unnoticed.

At this stage, the pilot programme behind Didi is being driven by a coalition of peacebuilding NGOs, local and grassroots organisations. Their involvement ensures that the technology is shaped by those with deep practical experience in conflict resolution and community engagement. This collaborative model is intended to keep the platform aligned with needs, providing insights that are both contextually grounded and operationally useful for practitioners seeking openings for dialogue.