The first edition of the Curiosity Data Science Awards, launched by the Statistical Analysis System Institute (SAS), the Data Science Portuguese Association (DSPA), and Spain AI, took place on July 8, and the Nova SBE Data Science Knowledge Center was one of the big winners with the project “Predicting the risk of developing Diabetic Nephropathy,” being the only Portuguese project that got an award.
SAS, alongside DSPA, and Spain AI, launched the first edition of the Curiosity Data Science Awards, which recognizes impactful projects carried out during 2020 in three main data science categories – Data4good, Data4Business, and Data4Innovation – both in Portugal and Spain.
The project “Predicting the risk of developing Diabetic Nephropathy,” one of Nova SBE Data Science Knowledge Center’s many inspiring projects, was the winner in the Data4Good category, which distinguishes projects with a social, environmental, or public focus with a positive impact. It was developed in collaboration with Associação Protectora dos Diabéticos de Portugal (APDP) under the Data for Change program, part of the Social Equity Initiative. It aimed to build a prototype of a predictive model that identified the odds of a type 2 diabetes mellitus II patient developing diabetic nephropathy.
The Nova SBE Data Science Knowledge Center team credits APDP, the help of the “La Caixa” Foundation and BPI, whose partnership is responsible for the Social Equity Initiative mentioned above, and all Portuguese social impact organizations that are part of the Data for Change program and who work hard to augment their impact with data science and machine learning for this accolade.
The Curiosity Data Science Awards were created to promote data science and demonstrate its impact on people, organizations, society, and the economy, distinguish data sciences for their curiosity and hard work towards problem-solving solutions and inspire new generations to innovate.
The Nova SBE Data Science Knowledge Center is one of Nova School of Business & Economics (Nova SBE) Knowledge Centers, and it was created to advance knowledge about data-driven decision-making and its application in society. It focuses its activities on helping to bridge the gap between organizations and technology, pushing the boundaries of knowledge, and finding exceptional solutions for societal challenges. Congratulations!
Learn more about the winning project here.