Social scientists are now in an era of data abundance, and machine learning tools are
increasingly used to extract meaning from data sets both massive and small. We explain …

Clustering is the task of automatically gathering observations into homogeneous groups,
where the number of groups is unknown. Through its basis in a statistical modeling …

Finite mixture models are being used increasingly to model a wide variety of random
phenomena for clustering, classification and density estimation. mclust is a powerful and …

A growing body of scholarship has examined circular business models as a pathway
towards sustainability. However, employee skills to support such business models have …

Visual methods are gaining traction in qualitative research to support data generation, data
analysis, and research dissemination. In this article, I propose a preliminary typology that …

This is a comprehensive introduction to research design for university students at all levels
across the whole range of political science, including international relations and public …

The purpose of this paper is to offer a comprehensive and useful typology of innovation
ecosystems. While recent conceptual efforts have been allocated to delineating innovation …

Big data and data science are transforming the world in ways that spawn new concerns for
social scientists, such as the impacts of the internet on citizens and the media, the …

That capitalisms vary and that these capitalisms neatly resolve themselves into distinct and
discrete 'varieties of capitalism'is an almost foundational claim of contemporary comparative …

Many of the world's largest and most impactful transnational NGOs are registered in the
United States where they engage in significant fundraising activities to support their global …