09. January 2026
Neworn GmbH, a secondhand marketplace for baby and children’s items, partnered with the nonprofit research center SWISDATA to develop a novel recommendation system. Supported by the FFG Innovation Voucher, this collaboration aimed to address a critical challenge: traditional recommendation systems are ill-suited for children’s clothing due to the rapid and predictable growth of children, which renders sizing irrelevant over time.
10. October 2025
DDCAL, a novel clustering algorithm developed by Dr. Lux from SWISDATA, addresses the common issue of outliers dominating data visualization in various contexts such as choropleth maps and process models. Traditional methods like k-means or Jenks natural breaks often result in most data points being indistinguishable due to the influence of extreme outliers, which can significantly reduce the analytical value of visualizations.