Research on mentorship, collaboration, scientific careers, incentives, and the organization of science at the University of Colorado Boulder.
Science is made by people working within teams, institutions, and systems of recognition and support. We use publication records, mentorship networks, and computational methods to study how those systems relate to scientific activity.
Our work studies mentorship as a relationship that extends beyond coauthorship. The open mentorship dataset connects academic-family records to publications and representations of research, with documented coverage and estimation limits.
The publication archive includes studies of collaboration, shared leadership, recognition, and disparities in scientific careers. These questions require care about what the available records capture and which people or contributions they leave out.
Research programs face uncertain outcomes. Our decision-theoretic work makes costs and benefits explicit when considering research evidence, complementing work on funding, incentives, and the direction of scientific activity.
How can we build useful measures of scientific activity without treating incomplete records or predicted demographic attributes as a complete account of a person's contribution?
Explore information about joining the lab or contact Daniel Acuña about collaboration.
