Range-resident logistic model connects animal movement and population dynamics

Despite decades of independent progress in population ecology and movement ecology, researchers have lacked a theoretical bridge between these two disciplines. "Ecologists have been trying to ...
The Lancet

When to and when not to use machine learning in risk prediction models

Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...
Science Daily

New population model identifies phases of human dispersal across Europe

Researchers have developed a model that captures the dynamics of human dispersal across the continent during the last Ice Age in unprecedented detail. An interdisciplinary research team from the ...
ascopubs.org

Precision Oncology Core Data Model to Support Clinical Genomics Decision Making

How to Improve Cancer Patients ENrollment in Clinical Trials From rEal-Life Databases Using the Observational Medical Outcomes Partnership Oncology Extension: Results of the PENELOPE Initiative in ...
UC Berkeley School of Information

Data Science Master’s Students Build AI Model For Elderly Users

Age VoicE, by Master of Information and Data Science alums Emma Choate, Vinith Kuruppu, and David Russell, aims to serve an ...
Forbes

How Better Data Annotation Improves AI Model Performance

When AI models fail to meet expectations, the first instinct may be to blame the algorithm. But the real culprit is often the data—specifically, how it’s labeled. Better data annotation—more accurate, ...
TechRepublic

The different data model types and their uses

At its heart, data modeling is about understanding how data flows through a system. Just as a map can help us understand a city’s layout, data modeling can help us understand the complexities of a ...