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#SASHackathon

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 2024 use cases

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

2024 regional winners

Heat Stroke Prevention With AI-Enabled Smart Helmets
2024 Winner: Americas Region

Global temperatures continue to rise, leading to a surge in injuries for construction workers. The 2024 SAS Hackathon team, StaSASticians, developed an AI-enabled heat stroke prevention system leveraging real-time data to monitor workers’ health.

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    Combating Misinformation with Trusted Data
    2024 Winner: EMEA Region

    The flow of misinformation and disinformation in the news causes harm, making it difficult to know who to trust. 2024 SAS Hackathon team, Butterflies, developed a tool that uses advanced models to check the trustworthiness of open-source data.

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      Quality Inspection Solutions for Injectable Manufacturing
      2024 Winner: Asia Pacific Region

      COVID-19 disrupted global supply chains. 2024 SAS Hackathon team, Nupeak Neurons, developed a visual inspection system that detects defective injectables, speeding up the approval process and reducing the risk of faulty products from reaching the market.

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        Past Winners

        2023

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          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.

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            JaWaRA
            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.

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              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.  

              Blog

              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.

              Blog

              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.

              Blog

              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.

              Blog

              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.

              Blog

              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.

              Blog

              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.