AI + Environment

EcoHackathon

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 Ceremony

Agenda

2:30 PM - 3:00 PM CET: ARRIVAL WITH CAKE AND COFFEE

3:00 PM - 3:15 PM CET: KICK-OFF INTRODUCTION

Overview of Hackathon by Ghjulia Sialelli

3:15 PM - 4:15 PM CET: TOOLING TECHNIQUES (with Q&A)

Basics of Remote Sensing by Sebastiano Papini

Leveraging Geospatial Foundation Models by Thomas Brunschwiler from IBM

Machine Learning Essentials by Nick Pawlowski from Microsoft Research (virtual)

Diving into Biological Data Visualization by Andrea Desiderato (virtual)

4:15 PM - 5:15 PM CET: DATA DEEP DIVE (with Q&A)

Indigenous Knowledge by Marina Gatto from Inhaa-Be (virtual)

Exploring Asset Data by Johan van den Hoogen from Crowther Lab

Understanding NICFI Satellite Imagery by Miguel Gomez from Planet Labs

Species Distribution Modelling by Miguel Fernandez from iDiv (virtual)

From 5:15 PM CET: NETWORKING APERITIF, TEAM FORMING & HACKING

Closing and Hackathon Start by David Dao

Office Hours & Mentoring

Agenda

11:30 AM - 12:00 PM CET: ARRIVAL WITH CAKE AND COFFEE

12 PM - 12:15 PM CET: MENTOR CHECK-IN

Of​ficial mentor welcoming and meeting

12:15 PM - 2:00 PM CET: SMALL ROOM DISCUSSIONS

Mentor Introductions

Round Tables with the Mentors

Exploring Datasets and Ideas

Understanding NICFI Satellite Imagery by Planet Labs

From 2:00 PM CET: PIZZA & HACKING

Until EOD: DEADLINE FOR TEAM NAMES

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?

Un​fortunately 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!

Partners