up

_data/navigation.yml

@@ -1,22 +1,16 @@
 # main links links
 main:
+  - title: "CV"
+    url: /cv/
   - title: "Research"
     url: /publications/
-
   #- title: "Talks"
   #  url: /talks/
-
   #- title: "Teaching"
   #  url: /teaching/
-
   #- title: "Portfolio"
   #  url: /portfolio/
-
   - title: "Misc"
     url: /misc/
-
-  - title: "CV"
-    url: /cv/
-
   #- title: "Guide"
   #  url: /markdown/

_pages/about.md

@@ -16,3 +16,7 @@ My research centers on political methodologies and applications. Methodologicall
 I have contributed to several research projects aligned with these interests, and my work has been published in peer-reviewed journals, including the Journal of Conflict Resolution and the International Journal of Communication.
 
 Before joining Harvard, I earned an M.S. in Statistics from the University of Chicago and a B.A. in Political Science from Waseda University in Japan. Feel free to reach out to me at knakamura [at] g.harvard.edu.
+
+# What is new?
+- *2024/10/03*: Released the new working paper [Causal Representation Learning with Generative Artificial Intelligence: Application to Texts as Treatments](https://arxiv.org/abs/2410.00903) with Kosuke Imai
+- *2024/07/19*: Presented two posters at PolMeth 2024 (Automated Cognitive Debriefing, Causal Inference with Unstructured High-Dimensional Treatments using Deep Generative Models: Applications to Images and Texts)

_pages/publications.md

@@ -13,4 +13,7 @@ author_profile: true
 
 
 ### Selected Working Papers
-1. Causal Representation Learning with Generative Artificial Intelligence: Application to Texts as Treatments, *Working paper*, with Kosuke Imai, Presented at PolMeth2024. [URL](https://arxiv.org/abs/2410.00903)
+1. Causal Representation Learning with Generative Artificial Intelligence: Application to Texts as Treatments, *Working paper*, with Kosuke Imai, Presented at PolMeth2024. [URL](https://arxiv.org/abs/2410.00903)
+
+### Selected Software
+1. CausalText, Available upon Request