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Innovation stories

Inspiration and innovation in action

From start to finish

The SAS Hackathon is all about testing ideas, pushing the limits and challenging the status quo – with the purpose of inventing a novel solution.

Discover all the 2023 use cases

Check out all our participants! To learn more about a use case, click on the icon next to the team’s name.

2023 regional winners

End Forced Labor

2023 Winner: Americas Region

An estimated 27.6 million people are in forced labor today. 2023 SAS Hackathon team, End Forced Labor, developed a visual dashboard using SAS® Viya® to explore and predict commodities affected by this hidden crime.


2023 Winner: Asia Pacific Region, Public Sector, Machine Learning

Jarkata, Indonesia’s capital, is sinking due to climate change and epic floods. 2023 SAS Hackathon team, JaWaRA developed a centralized and integrated flood control system, based on an analysis of real-time data from IoT sensors.

EPAM & Linktera4Good

2023 Winner: EMEA Region, Natural Language Processing

Disaster response organizations needed quick, reliable information after Turkey’s massive earthquake. 2023 SAS Hackathon team, EPAM & Linktera4Good, used SAS® Viya® and open source with real-time data from social media and satellite imagery.

Blogs and articles

Sharing stories ignites creativity and inspires curiosity. From sea rescues to neurodiversity to lung disease, teams tackled some of the most vexing business and humanitarian challenges in the world.  


Trustworthy AI examples in the SAS Hackathon ranged from using satellite imagery to assess building damages caused by earthquakes to predicting patient inflow to intensive care units. Check out the exemplary examples from Teams AI Generated Synthetic Data in Healthcare, JaWaRA and IN STEP.


The global population is aging faster than ever. With this growth comes a rise in chronic illnesses. Team Critical Thinking Crew used computer vision to health monitoring for at-risk people.


Treatments for life-threatening illnesses are often based on a combination of existing protocols and staff experience. A team from Syntho explored the use of synthetic data to improve care and reduce costs.


Could the use of AI to monitor vitals and predict the likelihood of sepsis save the lives of premature newborns? A team of doctors from Portugal called IN STEP set out to come up with the answer to that question.


Utilities worldwide are challenged by the ever-increasing demand for efficient energy consumption and the pressing need for sustainability. The Insight-O-Meters team’s solution revolutionizes the utility industry.


There have been many theories for the causes of autism. SAS Hackathon team Autistic Life Changers is using machine learning to correlate factors and characteristics that appear gradually during childhood in people with autism spectrum disorder (ASD) in support to identify others at risk.