Add links to PyWhy website and Discord (#788)

Signed-off-by: star1327p <star1327p@gmail.com>

README.md

@@ -5,7 +5,11 @@
 
 
 
-<h1><img src="doc/econml-logo-icon.png" width="80px" align="left" style="margin-right: 10px;"> EconML: A Python Package for ML-Based Heterogeneous Treatment Effects Estimation</h1>
+<h1>
+<a href="https://econml.azurewebsites.net/">
+<img src="doc/econml-logo-icon.png" width="80px" align="left" style="margin-right: 10px;", alt="econml-logo"> 
+</a> EconML: A Python Package for ML-Based Heterogeneous Treatment Effects Estimation
+</h1>
 
 **EconML** is a Python package for estimating heterogeneous treatment effects from observational data via machine learning. This package was designed and built as part of the [ALICE project](https://www.microsoft.com/en-us/research/project/alice/) at Microsoft Research with the goal to combine state-of-the-art machine learning 
 techniques with econometrics to bring automation to complex causal inference problems. The promise of EconML:
@@ -40,6 +44,7 @@ For information on use cases and background material on causal inference and het
 - [Blogs and Publications](#blogs-and-publications)
 - [Citation](#citation)
 - [Contributing and Feedback](#contributing-and-feedback)
+- [Community](#community)
 - [References](#references)
 
 </details>
@@ -718,6 +723,18 @@ provided by the bot. You will only need to do this once across all repos using o
 
 This project has adopted the [PyWhy Code of Conduct](https://github.com/py-why/governance/blob/main/CODE-OF-CONDUCT.md).
 
+# Community
+
+<a href="https://pywhy.org/">
+<img src="doc/spec/img/pywhy-logo.png" width="80px" align="left" style="margin-right: 10px;", alt="pywhy-logo">
+</a>
+
+EconML is a part of [PyWhy](https://www.pywhy.org/), an organization with a mission to build an open-source ecosystem for causal machine learning.
+
+PyWhy also has a [Discord](https://discord.gg/cSBGb3vsZb), which serves as a space for like-minded casual machine learning researchers and practitioners of all experience levels to come together to ask and answer questions, discuss new features, and share ideas.
+
+We invite you to join us at regular office hours and community calls in the Discord.
+
 # References
 
 Athey, Susan, and Stefan Wager.

doc/conf.py

@@ -21,7 +21,7 @@
 # -- Project information -----------------------------------------------------
 
 project = 'econml'
-copyright = '2022, PyWhy contributors'
+copyright = '2023, PyWhy contributors'
 author = 'PyWhy contributors'
 version = econml.__version__
 release = econml.__version__

doc/spec/community.rst

@@ -0,0 +1,15 @@
+Community
+==========
+
+.. raw:: html
+
+    <p></p>
+    <a href="https://pywhy.org/">
+    <img src="../pywhy-logo.png" width="80px" align="left" style="margin-right: 10px;", alt="pywhy-logo">
+    </a>
+
+EconML is a part of `PyWhy <https://www.pywhy.org/>`__, an organization with a mission to build an open-source ecosystem for causal machine learning.
+
+PyWhy also has a `Discord <https://discord.gg/cSBGb3vsZb>`__, which serves as a space for like-minded casual machine learning researchers and practitioners of all experience levels to come together to ask and answer questions, discuss new features, and share ideas.
+
+We invite you to join us at regular office hours and community calls in the Discord.

doc/spec/spec.rst

@@ -15,6 +15,7 @@ EconML User Guide
     interpretability
     references
     faq
+    community
 
 .. todo::
     benchmark