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 phenomena, a lot of 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 is 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 crtieria, 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.
Thank you to our Community Partners
Showcase and 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
Frequently Asked Questions
I'm a recruiter looking for top tech talent! How can I get involved and discover ?
We will be opening up a special channel for recruiters to be able to meet individual competitors and finalist teams. Please find the attached pitch deck, and register your expression of interest in this form:
There are two phases to this hackathon. The first phase involves potentially showcasing your work and upvoting other awesome ideas that were developed in response to the COVID-19 pandemic. Submissions will be due by 23:59, Friday 24 June, and be voted on both by the community and a panel of data science experts.
The second phase involves the hackathon. After you sign up you will be invited via email to our event online collaborative space.
The virtual hackathon begins 19:00 Friday, 24th July AEST and concludes 19:00 Monday, 27th July.
This hackathon will be aimed at utilising data science and AI to gain meaningful and actionable insights as nations emerge from lockdowns and stay-at-home orders due to COVID-19.
A hackathon (hack = solving a complex problem) (athon = marathon) is an intense sprint-style experience in which software developers, interface designers, technologists and product experts come together to rapidly develop software or hardware projects.
HackMakers will organise, lead mentors, and mentors with hackathon experience will facilitate teams to maximise their experience. This includes helping match participants to team and skills, debug code, ideate, introduce to the resources and tools, and effectively present their solution.
Individuals discuss ideas, share their abilities and skills, then join an existing team or find people in the platform channels to build a new one. In previous event, some successful teams voting on their favourite challenge problem, generate potential solutions and tested these before picking the best option to take forward.
If you don’t have a team, mentors or organisers will be on hand to assist matching.
Most people don’t have an idea before they get to the event. But once you join the event, review the challenges and start talking to other people, you might come up with something. You can also work with somebody else on their idea if you like it.
Once you have registered, you will have access to our dashboard. The resources and Slack space will come online very soon, closer to the hackathon date!