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cms-opendata-workshop · Jul 14, 2024 · d553dc5 · d553dc5
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diff --git a/config.yaml b/config.yaml
@@ -63,11 +63,10 @@ contact: '[email protected]'
 
 # Order of episodes in your lesson
 episodes: 
-- 01-introduction.md
-- 02-particlediscoverylab.md
-- 03-ppp.md
-- 04-ml.md
-- 05-agc.md
+- 01-particlediscoverylab.md
+- 02-ppp.md
+- 03-ml.md
+- 04-agc.md
 
 # Information for Learners
 learners: 

diff --git a/episodes/01-introduction.md b/episodes/01-introduction.md
diff --git a/episodes/02-particlediscoverylab.md → episodes/01-particlediscoverylab.md b/episodes/02-particlediscoverylab.md → episodes/01-particlediscoverylab.md
diff --git a/episodes/03-ppp.md → episodes/02-ppp.md b/episodes/03-ppp.md → episodes/02-ppp.md
diff --git a/episodes/04-ml.md → episodes/03-ml.md b/episodes/04-ml.md → episodes/03-ml.md
diff --git a/episodes/05-agc.md → episodes/04-agc.md b/episodes/05-agc.md → episodes/04-agc.md
diff --git a/index.md b/index.md
@@ -2,9 +2,63 @@
 site: sandpaper::sandpaper_site
 ---
 
-The CMS Open Data Workshop & Hackathon 2024 is an event that brings together participants from diverse backgrounds to explore the world of particle physics using CMS Open Data. This hackathon is designed to provide self-guided lessons for remote participants, allowing them to work at their own pace while exploring various aspects of particle physics, data analysis, and machine learning. Here's an overview of the key activities and lessons included in the hackathon:
-with the open data codebase.
+:::::::::::::::::::::::::::::::::::::: questions 
 
-If you run into problems with any of these steps, please reach out to the organizers
-through the dedicated [Mattermost channel](https://mattermost.web.cern.ch/cmsodwswhepp24/channels/pre-exercises-help). # FIXME
+- Why is collaboration and knowledge sharing important in particle physics?
+- What is the significance of open data and the open science community?
+- What direction and challenges will we take in this hackathon?
 
+::::::::::::::::::::::::::::::::::::::::::::::::
+
+::::::::::::::::::::::::::::::::::::: objectives
+
+- Understand the importance of collaboration and knowledge sharing in particle physics.
+- Learn about the significance of open data and the role of the open science community.
+- Get an overview of the different lessons and challenges in the hackathon.
+
+::::::::::::::::::::::::::::::::::::::::::::::::
+
+## Welcome to the CMS Open Data Workshop & Hackathon 2024!
+
+### Importance of Collaboration and Knowledge Sharing
+
+In the field of particle physics, collaboration and knowledge sharing are crucial. The CMS Open Data Workshop & Hackathon aims to foster these values by providing a platform for participants to work together, share insights, and learn from one another. By collaborating on complex problems and sharing our findings, we can push the boundaries of what we know and achieve breakthroughs that would be impossible to accomplish alone.
+
+::::::::::::::::::::::: testimonial
+*By working together, we can leverage our collective expertise and creativity to solve complex problems and advance the field of particle physics.*
+:::::::::::::::::::::::
+
+### The Importance of Open Data and the Open Science Community
+
+Open data is a cornerstone of modern scientific research. By making data freely available to the public, we enable a broader range of scientists and enthusiasts to engage with it, leading to more robust and innovative discoveries. The open science community thrives on transparency, accessibility, and collaboration, and CMS Open Data is a perfect example of these principles in action. Through this hackathon, we aim to demonstrate the power of open data and encourage more people to contribute to the open science movement.
+
+::::::::::::::::::::::: testimonial
+*Open data allows for greater transparency and reproducibility in research, fostering innovation and enabling more people to contribute to scientific discoveries.*
+:::::::::::::::::::::::
+
+### Direction and Challenges of the Hackathon
+
+During this hackathon, participants will engage in a variety of self-guided lessons that cover different aspects of particle physics, data analysis, and machine learning. Whether you're an undergraduate looking to understand the basics of particle physics or an experienced programmer seeking a challenging project, there is something for everyone.
+
+#### Key Activities
+
+1. **Particle Discovery Lab**: Analyze real particle collision data from the CMS experiment, identify different particles, and perform both basic and advanced data analysis tasks.
+2. **Particle Physics Playground**: Explore fundamental concepts in particle physics through practical analysis of CMS Open Data, including studying particle decay patterns and understanding particle properties.
+3. **Machine Learning with Open Data**: Apply machine learning techniques to classify different types of particle collisions and gain practical experience in data preparation, model training, and evaluation.
+4. **Advanced Generative Challenge**: Tackle generative modeling tasks using older CMS data, create synthetic data, and validate complex models.
+
+By the end of the hackathon, participants will have gained valuable skills and insights into high-energy physics, data analysis, and machine learning. They will also have the opportunity to contribute to the open science community by sharing their findings and collaborating with others.
+
+::::::::::::::::::::::::::::: callout
+## Challenge Yourself and Collaborate!
+
+Join us in this exciting journey of discovery and innovation. By participating in the CMS Open Data Workshop & Hackathon, you are contributing to a global community of scientists and enthusiasts working towards a common goal. Let's push the boundaries of our knowledge together!
+:::::::::::::::::::::::::::::
+
+::::::::::::::::::::::::::::::::::::: keypoints 
+
+- Collaboration and knowledge sharing are essential in advancing particle physics research.
+- Open data enables greater transparency, accessibility, and innovation in scientific research.
+- This hackathon offers a variety of lessons and challenges suitable for participants with different interests and skill levels.
+
+::::::::::::::::::::::::::::::::::::::::::::::::