Reflecting on the methodological approaches used when engaging historically marginalized groups in computing survey research.
As data privacy collides with AI’s rapid expansion, the Berkeley-trained technologist explains how a new generation of models ...
Research-to-action programme SPARC has six years of experience carrying out research and collecting meaningful data in some ...
The study shows that combining digital twins and big data can transform smart mobility from a purely technological upgrade ...
Nine in ten of the UK’s biggest retailers have now calculated their greenhouse gas emissions baseline and started reporting ...
The clinical trial industry is at a critical juncture where traditional methods are proving insufficient for managing today’s ...
This report provides an update on the technical feasibility of using administrative (admin) data, supported by surveys, to measure New Zealand's ...
Machine learning methods have emerged as promising tools to predict antimicrobial resistance (AMR) and uncover resistance determinants from genomic data. This study shows that sampling biases driven ...
Machine learning methods have emerged as promising tools to predict antimicrobial resistance (AMR) and uncover resistance determinants from genomic ...
Finding the right balance between growth and high standards is an ongoing negotiation that requires curiosity, humility and ...
BURLINGTON, Mass., Dec. 11, 2025 /PRNewswire/ -- ETQ, part of Hexagon, today announced that it has been ranked a 'Front ...
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