Hackathon Journey (in-person & remote)
18
MAY
2024 - Noon CET
Office Hours at ETH AI Center, 14th Floor
27
MAY
2024 - 3PM CET
Halftime Check-in & Supercomputer Pitch
2
JUNE
2024 - Midnight
Final Submission of Project (remote only)
13
JUNE
2024 - 4PM CET
Celebration, Poster Sessions at ETH AI Center, 19th Floor
11
JULY
2024
XPRIZE Finals in the Amazon Rainforest in Brazil
Daily Social & Coding Evenings with Pizza and Drinks
Every workday after 6pm CET at ETH AI Center, 19th Floor
The best pitches are run on a supercomputer (sponsored by Forschungszentrum Jülich)
Track 1
AI FOR BIODIVERSITY (TRACK 1)
Goal: Develop innovative AI models that can provide deeper insights into biodiversity. Use machine learning techniques to predict species health, population trends, or ecological impacts. Your models will help researchers and conservationists understand and protect these critical environments better.
What you'll do: Access a dataset featuring various attributes from rainforest ecosystems, including species occurrence, climate conditions, and geographical data. Build and train models to analyze patterns, predict outcomes, or classify data, contributing to the conservation efforts and scientific understanding of biodiversity.
Track 2
DATA VISUALIZATION (TRACK 2)
Goal: Create compelling and informative visualizations of rainforest data. Your visualizations should not only be aesthetically appealing but also serve as powerful tools for storytelling and education, highlighting key aspects of rainforest ecosystems.
What you'll do: Utilize the same rich datasets to design interactive charts, maps, or infographics that illustrate the complex relationships within the rainforest. Focus on clarity, user engagement, and innovative approaches to help viewers grasp detailed ecological data and its implications easily.
OPENING
ETH AI
OAT S
17 May
We reserved a whole floor within the Andreas Turm to have the opening ceremony and office hours
Organizers
Ghjulia
SIALELLI
ETH AI Center Fellow
Sarah
TARIQ
Digital Linguistics, UZH
David
DAO
ETH BiodivX Co-Lead / GainForest
Sebastiano
PAPINI
Computer Science, ETH Zurich
Chona
Billiones
Communication, GainForest
MENTORS & Office HOURS
Our Mentors are experts in their respective fields and challenge owners. They can support your questions around coding, ecology and visualization during the office hours.
Andrea
DESIDERATO
Faculty, University of Lodz (virtual)
Katharina
Runge
Crowther Lab, ETH Zurich
Miguel
Gómez
Solution Architect, Planet Labs
Varun
Kohli
Engineering Lead, AI & Security, Google
Afef
Marzougui
Precision agriculture, ETH Zurich
Thomas
Marina
Gatto
Indigenous Council, Inhaã- Bé (virtual)
Brunschwiler
Research Manager,
IBM Research
Miguel
FERNANDEZ
Lead Scientific Officer ETC-BE at iDiv (virtual)
Nick
PAWLOWSKI
Senior Researcher, Microsoft Research Cambridge (virtual)
Sebastiano
PAPINI
Florencia
Sangermano
Faculty, Clark University (virtual)
Computer Science,
ETH Zurich
Johan
van den hoogen
Crowther Lab, ETH Zurich
Geoff
McGHee
Lecturer in Interactive Data Visualization, UW (virtual)
Ying-Jung
CHEN
Remote Sensing Expert (virtual)
Frequently Asked Questions
Can I join remotely?
Yes, 100%! The event is hybrid and we will provide a zoom link for everyone joining remotely
Do you support us in booking flights to come to Zurich?
We want to stay environmentally-friendly. Please join remotely.
Do you have financial support for accomodation and travel?
Unfortunately we can’t provide financial support
Wait, I can run my code on one of Europe’s fastest supercomputers?
Yep, if you convince the supercomputer jury, the compute is yours! For the others, we will provide credits for GCP and Colab notebooks.
Will there be Pizza?
You bet!
FAQ
Partners
