The Quantitative Collaborative (QC) defines an organizational umbrella under which quantitative social scientists, regardless of department or school, gather to pursue research questions of common interest. As its name suggests, the QC also fosters and provides a natural locus for quantitative partnerships and interdisciplinary collaborations.
When fully operational, the QC will have four core thematic areas:
- Data Analysis/Quantitative Methods,
- Mathematical Modeling,
- Experimental Social Science, and
- Data-Gathering Methodologies.
The Data Analysis/Quantitative Methods area will encompass econometrics, quantitative political and sociological methodology, psychometrics, and statistical evaluation methods in education and public health. The Mathematical Modeling area will focus on formal (mathematical) models of economic and political behavior, drawing primarily on scholarship in Economics and Political Science. The Experimental Social Science area will focus on laboratory and field experimentation as it is currently practiced in the Departments of Psychology, Economics, Political Science, and Anthropology. The Data-Gathering Methodologies area will encompass topics such as sampling and survey methodology. Through these focus areas, the QC will nurture nascent partnerships across the quantitative social sciences in the exploration of new avenues of research and in tackling key issues facing the modern world. It will serve as a nexus for building informal, interdisciplinary networks and for disseminating (to faculty, graduate students, and eventually undergraduates) the most recent advances in the field.
The QC thus aims to:
- provide instruction at the undergraduate/graduate level in quantitative methods,
- foster fundamental research in the quantitative social sciences,
- bring increased grant dollars to the University in support of such research,
- help shape key public policy issues, and, in so doing,
- bring greater visibility and recognition to the University as a national leader in the fields of social science.