Reflecting on the methodological approaches used when engaging historically marginalized groups in computing survey research.

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 ...

The long American century is over. Across the world, affiliations and institutions staked in blood and soil, faith-based (as ...

Mixed methods research in psychological science has undergone significant evolution since its origins in the 1980s, emerging as a powerful paradigm capable ...

The IMF has urged Pakistan to review its import data after identifying $30–35 billion discrepancies in trade figures, making ...

The clinical trial industry is at a critical juncture where traditional methods are proving insufficient for managing today’s ...

Greenlight Health Data Solutions today announced its expanded engagement in national interoperability initiatives through a ...

This report provides an update on the technical feasibility of using administrative (admin) data, supported by surveys, to measure New Zealand's ...

Market is gaining momentum due to rising demand for biodegradable plastics, stringent regulations on single-use plastics, ...

Machine learning methods have emerged as promising tools to predict antimicrobial resistance (AMR) and uncover resistance determinants from genomic ...

Data manager Ratna Jyothi Kommaraju's automation frameworks to handle 3 million biosamples and cut delays by 75% – a benchmark India’s clinical trial industry now looks to follow.