Jeong/deploy test

.github/ISSUE_TEMPLATE/task-template.md

@@ -0,0 +1,10 @@
+---
+name: Task template
+about: Tasks related to launch and organize the KDD 2023 workshop
+title: "[Task] "
+labels: ''
+assignees: ''
+
+---
+
+* Deadline:

.github/ISSUE_TEMPLATE/upgrade.md

@@ -1,8 +1,8 @@
 ---
 name: "[fastpages] Automated Upgrade"
-about: "Trigger a PR for upgrading fastpages"
+about: Trigger a PR for upgrading fastpages
 title: "[fastpages] Automated Upgrade"
-labels: fastpages-automation
+labels: ''
 assignees: ''
 
 ---

.gitignore

@@ -11,4 +11,5 @@ _notebooks/.ipynb_checkpoints
 # Local Netlify folder
 .netlify
 .tweet-cache
+.DS_Store
 __pycache__

_action_files/settings.ini

@@ -7,7 +7,7 @@ description = Writing a library entirely in notebooks
 keywords = jupyter notebook
 author = Sylvain Gugger and Jeremy Howard
 author_email = info@fast.ai
-baseurl = /kdd2021-tutorial
+baseurl = /kdd2023-workshop
 title = nbdev
 copyright = fast.ai
 license = apache2

_config.yml

@@ -6,11 +6,11 @@
 # https://learn-the-web.algonquindesign.ca/topics/markdown-yaml-cheat-sheet/#yaml
 # https://learnxinyminutes.com/docs/yaml/
 
-title: EconML/CausalML KDD 2021 Tutorial
-description: EconML/CausalML KDD 2021 Tutorial
+title: KDD 2023 Workshop - Causal Inference and Machine Learning in Practice
+description: KDD 2023 Workshop - Causal Inference and Machine Learning in Practice
 github_username: causal-machine-learning
 # you can comment the below line out if your repo name is not different than your baseurl
-github_repo: "kdd2021-tutorial"
+github_repo: "kdd2023-workshop"
 
 # OPTIONAL: override baseurl and url if using a custom domain
 # Note: leave out the trailing / from this value. 
@@ -34,13 +34,13 @@ url: "https://causal-machine-learning.github.io" # the base hostname & protocol
 #
 # 3. You must replace the parameter `baseurl` in _action_files/settings.ini with the same value as you set here but WITHOUT QUOTES.
 #
-baseurl: "/kdd2021-tutorial" # the subpath of your site, e.g. "/blog".
+baseurl: "/kdd2023-workshop" # the subpath of your site, e.g. "/blog".
 
 # Github and twitter are optional:
 minima:
   social_links:
-    twitter: CausalMachine
-    github: causal-machine-learning
+    - { platform: github, user_url: "https://github.com/causal-machine-learning/" }
+    - { platform: twitter, user_url: "https://twitter.com/CausalMachine" }
 
 # Set this to true to get LaTeX math equation support
 use_math: true
@@ -100,7 +100,7 @@ plugins:
 paginate: 15
 paginate_path: /page:num/
 
-remote_theme: jekyll/minima
+remote_theme: jekyll/minima@6513ea8b9c1c4909b6aa79926d52a1f7d865c5e7
 
 titles_from_headings:
   enabled:     true

_fastpages_docs/_setup_pr_template.md

@@ -4,22 +4,22 @@ Hello :wave: @causal-machine-learning!  Thank you for using fastpages!
 
 1. Create an ssh key-pair.  Open <a href="https://8gwifi.org/sshfunctions.jsp" target="_blank">this utility</a>. Select: `RSA` and `4096` and leave `Passphrase` blank.  Click the blue button `Generate-SSH-Keys`.
 
-2. Navigate to <a href="https://github.com/causal-machine-learning/kdd2021-tutorial/settings/secrets" target="_blank">this link</a> and click `New repository secret`.  Copy and paste the **Private Key** into the `Value` field. This includes the "---BEGIN RSA PRIVATE KEY---" and "--END RSA PRIVATE KEY---" portions. **In the `Name` field, name the secret `SSH_DEPLOY_KEY`.**
+2. Navigate to <a href="https://github.com/causal-machine-learning/kdd2023-workshop/settings/secrets" target="_blank">this link</a> and click `New repository secret`.  Copy and paste the **Private Key** into the `Value` field. This includes the "---BEGIN RSA PRIVATE KEY---" and "--END RSA PRIVATE KEY---" portions. **In the `Name` field, name the secret `SSH_DEPLOY_KEY`.**
 
-3. Navigate to <a href="https://github.com/causal-machine-learning/kdd2021-tutorial/settings/keys" target="_blank">this link</a> and click the `Add deploy key` button.  Paste your **Public Key** from step 1 into the `Key` box.  In the `Title`, name the key anything you want, for example `fastpages-key`.  Finally, **make sure you click the checkbox next to `Allow write access`** (pictured below), and click `Add key` to save the key.
+3. Navigate to <a href="https://github.com/causal-machine-learning/kdd2023-workshop/settings/keys" target="_blank">this link</a> and click the `Add deploy key` button.  Paste your **Public Key** from step 1 into the `Key` box.  In the `Title`, name the key anything you want, for example `fastpages-key`.  Finally, **make sure you click the checkbox next to `Allow write access`** (pictured below), and click `Add key` to save the key.
 
 ![](https://raw.githubusercontent.com/fastai/fastpages/master/_fastpages_docs/_checkbox.png)
 
 
 ### What to Expect After Merging This PR
 
-- GitHub Actions will build your site, which will take 2-3 minutes to complete.  **This will happen anytime you push changes to the master branch of your repository.**  You can monitor the logs of this if you like on the [Actions tab of your repo](https://github.com/causal-machine-learning/kdd2021-tutorial/actions).
+- GitHub Actions will build your site, which will take 2-3 minutes to complete.  **This will happen anytime you push changes to the master branch of your repository.**  You can monitor the logs of this if you like on the [Actions tab of your repo](https://github.com/causal-machine-learning/kdd2023-workshop/actions).
 - Your GH-Pages Status badge on your README will eventually appear and be green, indicating your first successful build.
-- You can monitor the status of your site in the GitHub Pages section of your [repository settings](https://github.com/causal-machine-learning/kdd2021-tutorial/settings).
+- You can monitor the status of your site in the GitHub Pages section of your [repository settings](https://github.com/causal-machine-learning/kdd2023-workshop/settings).
 
 If you are not using a custom domain, your website will appear at: 
 
-#### https://causal-machine-learning.github.io/kdd2021-tutorial
+#### https://causal-machine-learning.github.io/kdd2023-workshop
 
 
 ## Optional: Using a Custom Domain

_pages/cfp.md

@@ -0,0 +1,62 @@
+---
+permalink: /cfp/
+layout: default
+title: Call for Paper
+search_exclude: true
+---
+
+# **Call for Paper**
+
+## **Important Dates**
+
+All deadlines are at 11:59 PM [AoE](https://www.timeanddate.com/time/zones/aoe).
+* ~~April 30th, 2023: CMT submission portal opens~~
+* ~~May 23rd, 2023 **May 30th, 2023**: Abstract submission deadline **(extended)**~~
+* ~~June 9th, 2023 **June 16th, 2023**: Workshop paper submission deadline **(extended)**~~
+* ~~July 10th, 2023: Paper decision notifications~~
+* ~~July 24th, 2023: Camera-ready deadline~~
+* ~~August 7th, 2023: Workshop~~
+
+## **Submission Link**
+
+* CMT submission portal: [https://cmt3.research.microsoft.com/CMLKDD2023/](https://cmt3.research.microsoft.com/CMLKDD2023/)
+
+## **Aim and Scope**
+
+The workshop aims to bring together researchers and practitioners from academia and industry to share their experiences
+and insights on applying causal inference and machine learning techniques to real-world problems in the areas of
+product, brand, policy, and beyond.
+
+We welcome papers on a variety of topics, including but not limited to the following:
+* Industry use cases where causal inference and machine learning are used in practice
+* Challenges and opportunities for using causal inference and machine learning in industry settings
+* Techniques for incorporating causal inference into machine learning models
+* Methodologies for evaluating causal machine-learning models in practice
+
+We encourage submissions from researchers and practitioners working in industry, government, and academia. We welcome
+papers that present new research results, works in progress, or case studies that showcase the application of causal
+inference and machine learning techniques to real-world problems.
+
+All submissions will be peer-reviewed by the program committee, and accepted papers will be presented as contributed
+talks or posters during the workshop.
+
+## **Submission and Formatting Instructions**
+
+* Submissions are single-blind—author names and affiliations should be listed.
+* Submissions are limited to 6 pages (excluding references), must be in PDF, and use the ACM Conference Proceeding
+template (two-column format).
+* The recommended setting for Latex documents is:
+`\documentclass[sigconf, review]{acmart}`.
+* Additional supplemental material focused on reproducibility can be provided. Proofs, pseudo-code, and code may also be
+included in the supplement, which has no explicit page limit.
+* The supplementary material should be included in the same pdf file as the main manuscript. The main body of the paper
+should be self-contained since reviewers are not required to read the supplementary material. The supplementary material
+will not be included in the proceedings.
+* Submissions violating these formatting requirements will be desk-rejected.
+* The Word template guideline can be found [here](https://www.acm.org/publications/proceedings-template).
+* The Latex/overleaf template guideline can be found
+[here](https://www.overleaf.com/latex/templates/association-for-computing-machinery-acm-sig-proceedings-template/bmvfhcdnxfty).
+
+For any questions or inquiries, please contact the workshop organizers at [jeong@uber.com](mailto:jeong@uber.com) and
+[zyzheng@berkeley.edu](mailto:zyzheng@berkeley.edu). We
+look forward to your submissions!