🌍 Build for Impact: Labor Rights Data Hackathon
🌍 Build for Impact: Labor Rights Data Hackathon
Hosted by Data & AI Stockholm x Lovable
Join us for a collaborative, fast-paced online hackathon where data meets purpose.
In celebration of May and the importance of labor rights, we’re bringing our communities together for a hands-on session focused on building meaningful projects using real-world datasets. This is not a traditional talk or workshop, it’s a space to explore, experiment, and create something impactful in just a few hours.
📅 When: Wednesday, 13th of May, 18:00 (CET)
📍 Where: Data & AI Stockholm Discord
⏰ Format: Kick-off + 3-hour hackathon + live community interaction
What to expect
We’ll start with a short kick-off session on Discord, where we’ll introduce the theme, walk through the datasets, and share ideas to get you inspired.
From there, you’ll have 2,5 hours to build, independently. Whether it’s an app, a dashboard, a visualization, or an insight-driven project, the goal is to create something that highlights or explores labor rights through data.
Throughout the hackathon, we’ll stay connected via Discord, sharing progress, asking questions, and supporting each other along the way.
What makes this special
Participants will receive credits from Lovable to support their builds
A chance to collaborate across two engaged communities
A focused, high-energy format designed for creativity and execution
The datasets:
Employed persons by job tenure
Employment rate by sex
Gender pay gap in unadjusted form
In-work at-risk-of-poverty rate by sex
Mean weekly hours usually worked per employee by sex -- Annual
🚨 Please ensure you look at the datasets in advance and are ready to work on them when it's time. You can find the data sets HERE
Prizes
🥇 Top 3 projects will be recognized
🌟 Winner gets the opportunity to present their project in the Lovable Discord community and a small prize from DAIS
Who is this for?
This hackathon is designed for people who are comfortable working with data and want to build something meaningful, whether you're a data scientist, engineer, analyst, or have hands-on experience exploring and visualizing datasets.
Why join?
Build something meaningful around an important global topic
Experiment with real-world datasets
Connect, collaborate, and learn by doing
Be part of a supportive and creative community