Update README.md

README.md

@@ -1,6 +1,6 @@
 ---
 title: Multiscaler
-emoji: 📚
+emoji: 🛰️
 colorFrom: blue
 colorTo: yellow
 sdk: docker
@@ -9,4 +9,13 @@ license: mit
 short_description: Illustrating "Optimizing Multi-Scale Representations"
 ---
 
+# Overview 
+
+This Shiny application allows users to visualize and explore results from the multi-scale representation approach described in the paper:
+
+Fucheng Warren Zhu, Connor T. Jerzak, Adel Daoud. Optimizing Multi-Scale Representations to Detect Effect Heterogeneity Using Earth Observation and Computer Vision: Application to Two Anti-Poverty RCTs. Forthcoming in *Proceedings of the Fourth Conference on Causal Learning and Reasoning (CLeaR)*, 2025.
+
+The app focuses on how varying the scale of Earth Observation (EO) inputs can affect conditional average treatment effect (CATE) estimation. It provides both a 2D heatmap and a 3D surface plot, helping researchers analyze how model performance metrics change with different multi-scale representations.
+
+
 Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference