An opportunity for young people and the wider AI community to join the global movement driving social impact, this time as we tackle the current pandemic.
*** As many participants are aged 12-18, we ask all participants (young participants and mentors) to register on Eventbrite first: https://www.eventbrite.co.uk/e/teens-in-ai-covid-19-online-hackathon-youthvscovid-tickets-101803105830
*** All mentors are verified for safeguarding
*** Once you register on Eventbrite and we verify who you are, we will send you a link to the Discord channel
The Teens in AI COVID-19 Global Hackathon is an opportunity for young people aged 12-24 and the wider machine learning community to join the global movement that drives social impact, with the aim of tackling some of the challenges related to the current coronavirus (COVID-19) pandemic.
We are encouraging young innovators around the world to build solutions using data science and machine learning technologies across a range of challenge areas.
As COVID-19 has recently been declared as a pandemic, governments have issued guidance for members of the community to practice social distancing, while companies have enforced work from home policies in an effort to flatten the curve of viral infections across the population. Most schools are closed and young people are stuck indoors so why not invest some of your free time into making a difference to the world from home.
Given the isolation currently being experienced within communities right now, we want to create an online space where young people can ideate, experiment and build software solutions to help address this crisis.
Project Submission Deadline: May 3 (midnight BST for UK/Europe/Middle East/Africa and midnight 0000 PST for US/Canada/LatAm)
Virtual Judging: 4-8 May
Shortlisted 10 Teams announced - 10 May
Shortlisted 10 Teams continue working considering judges' feedback Shortlisted teams submit final work - until midnight 14 May (see timezone guidelines above)
Live Demo - 15 May (6 pm BST - we will start with teams from UK/Europe/MiddleE & Africa timezones)
We will aim to announce the top winning teams on the 15 May
£800 in prizes
First Place Prize
Second Place Prize
Top 3 Teams - 50% off AI Accelerator (3)
1 Hour of Business Mentoring with Soon Loo - Director, Shengye Capital
Submitting to this hackathon could earn you:
This is an online hackathon predominantly aimed for people in the age range of 12 to 24.
This hackathon has no specific constraints on what you can make. Simply be creative, collaborate, and have fun, all with the ultimate goal in mind of benefitting society during these difficult times.
- AI product, business, and project ideas - young people are invited to tackle challenges and come up with solutions to environmental, food supply, financial, education, health & wellbeing related matters in line with UN Sustainable Development Goals.
- Access to expert networks – young people are connected to mentors with expertise in technology, business and design thinking. Young people will have the understanding, soft and digital skills to use technology to create social impact and lead change.
- Digital upskilling and access to AI learning sources
- Familiarity with business skills and methodologi
Design & Implementation
Does it work? Is it implementable? Did the team think about the user interface (UI) and user experience (UX)? Was the product designed with humans in mind?
How innovative / creative / unique is the idea? Was there a novel yet practical approach applied to solve the problem?
Is the project technically impressive? Complex? How technically sophisticated / advanced / elegant was the solution?
Can the idea impact the lives of many people in a significant way, especially during the difficult times the world is currently facing in lieu of the corona virus pandemic? Is it in line with SDGs?
Is there a business potential? How original is the business model? Has the team considered route to market and has made proactive actions to execute an action plan? Is the idea feasible, does it have economic and societal value, and is it sustainable?
- Machine Learning/ AI
- Social Good