Environmental data scientists use computing and mathematics to develop sustainable solutions for environmental problems. Environmental data scientists balance and combine expertise from multiple ...

Both fields are in high demand, pay well, and lead to exciting, future-proof careers. If you're deciding between becoming a data scientist or an AI engineer, the choice often comes down to what ...

To ensure the fairness and trustworthiness of machine learning (ML) systems, recent legislative initiatives and relevant research in the ML community have pointed out the need to document the data ...

Every year, more than one million scientific articles are published in the life sciences. Two-thirds of them include statistical figures that are not always understandable, interpretable, or ...

The visualization of data accelerates comprehension by revealing trends and patterns. Figures have always been fundamental in the natural sciences, translating complex data into visual insights. Early ...

The Biostatistics Unit at the Germans Trias i Pujol Research Institute (IGTP), in collaboration with researchers from several Catalan health care and research institutions, has published the DIVINE ...

Scientific knowledge is fundamentally built on data; yet, for too long, research datasets have remained siloed, poorly documented, and inconsistently ...

insights from industryJoanna DeekDirector of Sales and Business DevelopmentCollaborative Drug Discovery, Inc. In this interview, industry expert Joanna Deek explores challenges in scientific data ...

Section 1. Policy and Purpose. Over the last 5 years, confidence that scientists act in the best interests of the public has fallen significantly. A majority of researchers in science, technology, ...