Data Science and AI for good — An overview

My initial impulse was to browse the web and look for existing initiatives.

This browsing-the-web exercise got a bit more serious than initially planned (it’s cold outside anyways).

Turns out, there are many caring people and great initiatives related, in some or other way, to the Data Science and AI for good movement.

This is very encouraging, but there is still so much to be done!Mind mapping the AI for good movementIt’s been a few years since I started using mind maps.

They are powerful tools for knowledge management and sharing.

I prepared the Data Science and AI for good mind map to collect my findings.

It aims to presents an overview of the existing “for good” initiatives around the world, from organizations and bootcamps to seed funding opportunities for startups.

This mind map is powered by two amazing pieces of open source software: the TiddlyWiki and its TiddlyMap extension.

The TiddlyWiki + TiddlyMap combo allows the creation of interactive wikis in JavaScript with integrated concept maps.

Moreover, the application can be used as a single HTML file which can be conveniently hosted on GitHub pages.

Double click on a node to display (on the left panel) relevant links and a short description.

Without further ado, the Data Science and AI for good mind map can be found here.

On the right panel, you will find the map itself (choose the Map tab) and on the left the content associated with each topic or node.

Open a node by double clicking it.

The Live tab provides a less cluttered view of the map so you might find it easier to navigate.

You will find useful resources regardless of what stage of your career you are in or the amount of time you are willing to commit.

For instance, go to the root node if you are just looking for inspiration and interesting reads.

The child nodes (the ones in dark green color) cover the following topics:challenges and competitions : contains information about individual projects, hackathons and data challenges you could work on during your weekends (the best way to improve your data skills!),bootcamps and fellowships : resources for students eager to learn data science while working on projects with social impact.

These internships last 2–3 months in general,events : a section with links to some relevant academic conferences and meetups,initiatives : this node lists initiatives by tech companies.

Its child nodes point to communities, multi-sector networks and other efforts that aim to address the world’s challenges with AI,organizations : leads to institutions and organizations.

It might be interesting to those looking for volunteering or consulting opportunities,entrepreneurship : this node points to grant opportunities for AI/tech startups working on social good or pro-environmental causes.

Now that you know the different ways you can serve the common good with data and technology, what are you waiting for?.I’ve picked a couple of projects for the coming months.

If you know of any resources that are missing and deserve to be added, please reach out via email or by using the issues section of the corresponding GitHub repository.

PS: A similar TW+TM web application is being prepared with a larger mind map exploring the landscape of AI and data science, full of free and valuable resources.

Stay tuned!Original post: https://carlgogo.


io/ai4good_mindmap/.. More details

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