Skip to content
AI can help visualizing the impact of climate change. This is an open forum to share our work
Branch: master
Clone or download
Permalink
Type Name Latest commit message Commit time
Failed to load latest commit information.
domains Update Readme.md May 17, 2019
resources Update deeplab_segmented_houses description Jul 9, 2019
workflow Update whoswho.md May 13, 2019
LICENSE Create LICENSE Apr 5, 2019
README.md Update contact. Jun 10, 2019
update_labels.py Add comments and docstrings Apr 23, 2019

README.md

logo

Visualizing the Impact of Climate Change: A Shared Knowledge Database

🌎       🌍      🌏

Welcome! Have a look at this Home page to better understand how you can contribute to the project.

Don't know what this is about? Check out the About section

How to use 📃

This repository is the CCAI project's knowledge database. We use it to:

  • Store resources (code, tools, news articles and so on)
  • Distribute tasks according to specific domains
  • Manage the project (workflow)

Contributing 🤝

Goal 🥅

We cannot stress enough how collaborative and open this project should be. This means that you may (and should) bring to the discussion anything you believe can be improved, suggest modifications to the workflow and share resources.

At first, it may seem pointless to just store a link as a line in this repository. But in the long run it will help the community a lot as nothing will be lost and it will be easy to refer new-comers to existing knowledge.

Issues 💥

We use this repository's issues to discuss everything. Have a look at the workflow to better understand how we use them.

Keep in mind that both domain-specific issues (like questions/discussions about a GAN model or about a website feature) and meta issues (about how we manage this project, broken links, typos etc.) are relevant.

Getting started ⚡️

New to Github? 🦎

We have compiled a shor list of basic things for you to know in order to make the most out of Github without needing to become a software engineer first -> Github at cc-ai

Experienced contributor 🦖

The workflow's Readme contains everything you need to know. Go through it at least once to get a feeling of how we want to work before you do your usual magic. Again, if you find some useless friction, open a domain:meta issue to discuss it.

According to your background and skills, you will find the list of everything we need help with in domains/ along with relevant issues

In any case

Add yourself to our Who's Who? if you plan on contributing !

About 💡

In case you stubbled upon this repository inadvertantly, here is our story.

The CCAI project is an interdisciplinary project aimed at creating images of accurate, vivid, and personalized outcomes of climate change. Our goal is to use cutting-edge machine learning techniques to produce images of how neighborhoods and houses will look like following the effects of global warming. By creating a more visceral understanding of the effects of climate change, we aim to strengthen public support for necessary actions and motivate people to make impactful decisions. As a prototype, we first focus on modeling flood consequences on homes.

For a more detailed motivation explanation, read through our 2 pages executive summary

Also, you might be interested in oour ICLR 2019 Ai For Social Good workshop paper (link to be added)

Contact ✉️

This project is lead by Sasha Luccioni (@sashavor), Karthik Mukkavilli (@mukkavilli), Vahe Vardanyan (@vahe987) and Victor Schmidt (@vict0rsch) from Mila (@Mila-iqai), overseen by Yoshua Bengio and Jennifer Chayes.

You can contact us via email: {luccionis | mukkavis | schmidtv | vardanyv}@mila.quebec

We have a Slack workspace, get in touch with us so we add you to it!

You can’t perform that action at this time.