EAGE-Annual-Hackathon-2023

Hackathon at the 84rd EAGE Annual Conference, Vienna

Theme: Natural Language Processing in the Geosciences and Engineering

Participant Guide

This event will be facilitated in English and will be an in-person only event this year!

What you need to do as a hackathon participant:

1. Find a team if you don’t already have one. We will use a Github discussion board – so if you are looking for a team to join or have a topic that you would like some people to help you work on – please post.
   • There will be some time on Sunday morning to finalize the teams, but the expectation is that you have tried to find a team upfront.
2. Get your team ready!
   • You will need to bring your laptop and power cable.
   • Ideate around the technical challenge your team will work on. You can use our Github discussion board for this. Remember the theme!
   • What data do you need? The hackathon facilitators will put together some data for you to use.
   • Are you going to use an existing model or build one from scratch?
     • What technology will your team use (python packages, dashboards, interpreters..etc).
       The facilitators will provide some ideas to get you thinking - you can find this thread in the discussion board above.
3. Familiarize yourself with the agenda.
   • This is a fairly short hackathon. Your team will be expected to present your final outcome on Monday afternoon at 14:00. That means code freeze will happen at 12:00.
   • With your team, try to come up with a plan of attack keeping in mind the short time.
4. Yes, there will be a final presentation from each team with two teams up for award from a judging panel of experts and from the hackathon participants.
   • The facilitators will reveal the criteria for the presentation Monday morning (this is so you can focus on your work and not on creating a presentation 😊)
   • Remember to take screenshots, record methods, and document your thought process along the way – this will help you to faster put together a final presentation.
5. Final presentation session will be recorded.
6. You are expected to upload all code to a repository in this Github organization.
7. Please note that the award winners will be asked to present their results at the Dedicated Session "Going Big - Scaling Machine Learning for Geosciences and Engineering".
8. Do you have an all access pass? If you booked the hackathon as part of your EAGE Annual All Access Pass but you realized this activity is not for you (or your availability has changed) please change your selection so that others can participate. Please note the hackathon has limited capacity and participants are expected to attend both days. Thank you!

The Agenda:

Sunday 4 June:
9:00 - 9:30 CEST - Welcome and coffee
9:30 - 10:30 CEST - Introduction to the theme & hackathon modalities
10:30 – 11:00 CEST – Project and team discovery time
11:00 - 18:00 CEST - Hacking all day

Monday 5 June
9:00 - 9:15 CEST - Welcome and coffee
9:15 - 12:00 CEST - Hacking and preparation of presentations
12:00 CEST: CODE FREEZE – Final Presentation Instructions
12:15-14:00 CEST – Time for working and practicing presentations
14:00 - 15:15 CEST - Presentations to the Judging Panel
15:15 - 15:45 CEST - Announcement of the winners and prizes*

Remember – hackathons aren’t about coming up with the perfect solution – it is about exploring ideas, understanding what doesn’t work, and of course having FUN!

Practicalities in Vienna:

Food:

Ample amounts of coffee will be provided, but you will be expected to pay for your own meals. There are plenty of options both inside of the conference center and immediately outside.

Location:

The hackathon will be at the same conference venue as the rest of EAGE Annual: Messe Wien Exhibition & Congress Center, Room 1 (Schubert 1-2)

Meet your Facilitators:

Lukas Mosser - Lukas received his Ph.D from Imperial College London, where he worked on the stochastic reconstruction of porous media and geophysical inverse problems using deep learning. He currently also serves as a member of the EAGE AI committee and SEG special interest group for machine learning. lukas.mosser@gmail.com
Ilaria Meggetto [EAGE] is our contact at EAGE. imo@eage.org or communities@eage.org
If you need anything from us or have questions please contact us via the email addresses above.