Merge overleaf-2024-09-11-2056 into main

main.tex

@@ -215,12 +215,12 @@ \section{Introduction}
 \begin{figure}
     \centering
     \includegraphics[width=1\linewidth]{latex/figures/intro-bo.png}
-    \caption{Optimization traces for various algorithms. Bayesian optimization (BO) typically outperforms traditional design of experiment (DoE) methods. It uses a smart model, often based on Gaussian Processes, to predict where to look next in an experiment to find the best results with minimal trials. This method is especially handy when dealing with experiments that don’t have straightforward outcomes or involve a lot of variables, which is often the case in these fields.}
+    \caption{Optimization traces for traditional design of experiment (DoE) methods compared with Bayesian optimization (BO), typically outperforms. BO uses a smart model to predict where to look next in an experiment to find the best results with few experiments.}
     \label{fig:intro-bo}
 \end{figure}
 
 
-The goal of the AC BO Hackathon was to leverage the expertise of a diverse, global community to advance the development and application of BO techniques for solving critical challenges in the physical sciences. The hackathon also aimed to foster collaboration and knowledge sharing among participants from different backgrounds, including academia, national laboratories, government agencies, and private industry. The event attracted 120 active participants from 44 teams, representing 41 academic institutions, 12 national labs, and 9 companies. Likewise, the participants were located in 38 cities, 14 countries, and 4 continents (\cref{fig:map}).
+The goal of the AC BO Hackathon was to leverage the expertise of a diverse, global community to advance the development and application of BO techniques for solving critical challenges in the physical sciences. The hackathon also aimed to foster collaboration and knowledge sharing among participants from different backgrounds, including academia, national laboratories, government agencies, and private industry. The event attracted 120 active participants from 44 teams, representing 41 academic institutions, 12 national labs, and 9 companies. Likewise, the participants were located in 38 cities, 14 countries, and 4 continents (\cref{fig:map}). A full list of projects, including links to the corresponding GitHub repositories, submission video, and social media post are provided in \cref{tab:projects}.
 
 \begin{figure}[h!]
     \centering
@@ -253,17 +253,28 @@ \section{Introduction}
 \end{table*}
 
 
-Participants were provided with various resources to prepare for the hackathon – this included GitHub classroom assignments with automated feedback, application- and theory-focused videos and tutorials, Python refresher materials, and a list of tools to consider using during the hackathon \cref{fig:preparation}.
-
+Participants were provided with various resources to prepare for the hackathon – this included GitHub classroom assignments with automated feedback, application- and theory-focused videos and tutorials, Python refresher materials, and a list of tools to consider using during the hackathon (\cref{fig:preparation}).
 
 \begin{figure}
     \centering
     \includegraphics[width=1\linewidth]{latex/figures/preparation.png}
-    \caption{Caption}
+    \caption{A snapshot of \href{https://ac-bo-hackathon.github.io/resources/}{resources listed on the hackathon webpage} such as hackathon orientation, intro to BO, and Python refreshers.}
     \label{fig:preparation}
 \end{figure}
 
-One of the unique aspects of this event is that it was hosted in Gather Town, a sort of union between traditional video conferencing software and retro arcade-style avatars and virtual spaces (\cref{fig:gathertown}).
+One of the unique aspects of this event is that it was hosted in Gather Town, a sort of union between traditional video conferencing software and retro arcade-style avatars and virtual spaces (\cref{fig:gathertown}). Participants create a custom avatar and maneuver in a two-dimensional space. The videos and audio of other participants appear and become audible when nearby, and fade out when far away, simulating an in-person experience. At the beginning of the hackathon, all participants gathered to listen to keynotes in realtime, which were broadcasted via YouTube live and embedded into the Gather Town space. The videos were then \href{https://ac-bo-hackathon.github.io/videos-slides/}{made available on the hackathon website}. After 2 months, the videos collectively had approximately 1600 views. After the keynotes, teams were assigned tables in breakout rooms, each with a whiteboard. Individual tables were assigned as "private spaces" which isolated the shared audio and video within each space. This had a number of advantages for collaboration within and across teams.
+
+\begin{figure}
+    \centering
+    \includegraphics[width=1\linewidth]{latex/figures/gathertown.png}
+    \caption{Gather town \href{https://ac-bo-hackathon.github.io/videos-slides/}{keynote} room (left), custom avatars (top-right), and an example of a breakout room for teams (bottom-right). Keynotes were broadcasted in realtime to participants via an embedded YouTube livestream. Use of Gather Town leveled the playing field for teams who were in physically separate locations and made it easier for facilitators and other teams to have more natural "check-ins" with other projects.}
+    \label{fig:gathertown}
+\end{figure}
+
+
+The hackathon concluded with a project showcase accompanied by crowdsourced judging within a "poster room" (\cref{fig:poster}).
+
+
 
 % Preparation for the hackathon - 111 GitHub Classroom assignments accepted