Stakeholder Meeting & AI Training at INRA - Kenitra (Morocco) headquarters

TIC UNESCOSOST
Jul 23
2 min read

Updated: Sep 17

The INRA and UNESCOSOST teams, within the SureNexus project, convened a multi-stakeholder meeting in Rabat–Kenitra (Morocco) on 23 July to discuss WEFE Nexus challenges and priorities. On 24 July, they delivered a full-day, hands-on AI capacity-building course to strengthen partners’ skills in data-driven assessment and decision support.

As part of SureNexus, INRA and UNESCOSOST coordinated a stakeholder dialogue on WEFE Nexus challenges in Rabat–Kenitra (23 July), followed by a full-day AI training (24 July). The two sessions aligned regional actors around key challenges and built practical capacity to apply AI methods for WEFE analysis and technology selection.

Dr.Jordi Morató, Director from UNESCO Chair on Sustainability performed three presentations:

a) SURENEXUS Project: Harnessing AI for WEFE Nexus Assessment & Technology Selection (I–II). The second segment focused on the AI tool’s technical foundations—system architecture, data pipelines (in situ and remote sensing), model selection and calibration, validation strategy, and deployment pathway.

b) SureNexus Stakeholder Platform. Dr. Jordi Morató outlined the development roadmap for the platform, including stakeholder onboarding, roles and permissions, data standards and interoperability, governance options (moderation, IP and data-sharing), and the timeline for pilot rollout and feedback cycles.

Co-led with Dr. Rachid Mrabet, a two-hour, open discussion gathered a structured catalogue of observations on policy/regulatory, technical, market/finance, and social/behavioral dimensions of the WEFE Nexus in Morocco and the wider Mediterranean region. Inputs were captured for subsequent synthesis and prioritization for SureNexus PRIMA project.

The joint INRA & UNESCO Chair on Sustainability teams organizers

On 24 July, we delivered a full-day, hybrid AI training—hosted at INRA Kenitra headquarters and streamed online—for the INRA team and invited participants. The session was coordinated by Dr. Pau Fonseca from inLab–UPC and combined short lectures with hands-on exercises to strengthen practical skills in data-driven WEFE analysis. he course reinforced common methods, workflows, and tools for applying AI to WEFE challenges and aligned participants on next steps for integrating these capabilities into ongoing work.