CONGRATULATIONS TO OUR WINNERS!
Predictive Algorithm Challenge Winner: T-Cube
Predictive Algorithm Challenge Finalist #2: Make Unicorns Great Again
Natural Language Processing Challenge Winner: Infodemic Warriors
Global Showcase Competition Finalist #2: COVID Doctor
Data Visualisation Challenge Winner: Team Maverick
Data Visualisation Challenge Finalist #2: Team SaferWherever
THANK YOU TO OUR SPONSORS!
COVID-19 has exposed some of society's greatest challenges in mobilising health information, global supply chain shocks and disease monitoring.
Due to the sudden impact and black swan status of this phenomenon, much data has been generated. However, it is often scattered and conflicting, with unreliable insights generated.
Many poorer nations do not have access to strong health systems and communications capabilities; meaning that automated systems are needed with even more urgency.
The hackathon itself will be a 72 hour process from 24 July - 27 July to ideate and deploy a solution under three categories. All submitted projects will need to incorporate or make a reference to least one dataset that will be published closer to the date.
The most interesting correlations can come from anywhere. Do pivotal tweets shape public purchasing behaviour of toilet papers? How does the way we communicate, with what we say change our perception of our health environment?
Global case numbers are constantly changing. Participants will be challenged to develop an algorithm to estimate the total number of affected COVID-19 cases, which will be compared to real statistics.
The pandemic has hit many job types in both positive and negative ways. We want teams to visualise that analysis and the trends of which job types that have been most affected, positively or negatively, prior to and over the course of the pandemic.
Resources will be available for all participants, mentors and volunteers upon registration.
RULES & GUIDELINES
This document will explain the eligibility, assessment criteria, submission types and inventor ownership rights of this hackathon.
A resource for competitors to understand the schedule, approximate development stages, software tools and best practices.
Whether it is your first or fiftieth time mentoring, each hackathon is different and this resource will guide you through the specificities of #BuildwithAI Hack.
DATASETS & TECHNOLOGIES
Both public and private datasets will be used for this hackathon, as well as a suite of officially supported technologies provided to us by our partners.
POST HACK GUIDE
Want to take your solution to market after the hackathon? Explore our recommended resources and partners in all areas where startups need to shine.
HACKMAKER'S SLACK CHANNEL
Slack, as our official communications sponsor, will be the main form for participants to form teams and find mentors.
SHOWCASE & CHALLENGE JUDGES
As a data scientist, real world work experience is sometimes hard to come by. Hackathons are one of the most effective ways to work on real-life, interesting issues while applying learnings in a collaborative and rewarding environment.
Head of Data Science AI, ACS
"The COVID-19 data-for-good hackathons produced a whole generation of new technologies; The power of which is yet to be discovered. How exciting it is - to be part of a movement that uses data and tech to make a lasting & positive impact on the future!
Founder Coach, Data-mania LLC
"By joining a hackathon with a social mission, you can truly impact communities that need innovation. In addition to gaining great experience, meeting others in your field and collaborating as a team, you’ll also get the chance to win some cool prizes!"
CEO Founder, Datacated Academy