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@@ -845,14 +845,14 @@ <h3 class="grant-title">
             <h3 class="grant-title">Designing Nature to Enhance Resilience for Built Infrastructure</h3>
             <p class="grant-sub">Data science for portfolios of natural &amp; built water infrastructure.</p>
             <div class="grant-list">
-              <span class="pill">N‑EWN</span>
+				<span class="pill"><a href="https://n-ewn.org">N‑EWN</a></span>
               <span class="pill">Wetland prioritization</span>
               <span class="pill">Nature‑based infrastructure</span>
               <span class="pill">Streamflows</span>
             </div>
             <p class="grant-body">
-              Within N‑EWN, EMITLab develops spatio‑temporal models and causal tools to evaluate how wetlands, dams,
-              recharge basins, and other interventions affect flows, ecosystems, and communities. The project team extends this with reinforcement‑learning‑driven causal discovery and hydrologic forecasting.
+              In collaboration with the <a href="https://n-ewn.org">Network for Engineering with Nature (N-EWN)</a>, the <a href = "https://asu-newn.org">"Designing Nature to Enhance Resilience for Built Infrastructure in Western U.S. Landscape"</a> project develops spatio‑temporal models and causal tools to evaluate how wetlands, dams,
+              recharge basins, and other interventions affect flows, ecosystems, and communities. The project team further develops reinforcement‑learning‑driven causal discovery and hydrologic forecasting.
             </p>
             <div class="grant-footer">
               <span>→ Research theme:</span>