Background Interdisciplinarity is often hailed as a necessity for tackling real-world challenges. We examine the prevalence and impact of interdisciplinarity in the NSF ADVANCE program, which addresses gender equity in STEM.
Methods Through a …
In the recent decade, we have seen major progress in quantifying the behaviors and the impact of scientists, resulting in a quantitative toolset capable of monitoring and predicting the career patterns of the profession. It is unclear, however, if …
The impact of a scientific publication is often measured by the number of citations it receives from the scientific community. However, citation count is susceptible to well-documented variations in citation practices across time and discipline, …
Science of science (SciSci), a growing field at the boundary of sociology, network science, and computational social science, encompasses diverse interdisciplinary research programs that study the processes underlying science. The field has …
Since 2001, the NSF ADVANCE program has funded organizational change projects promoting gender equity in academic science, technology, engineering, and mathematics (STEM) fields. The connections between institutions and individuals involved in the …
Many biological networks are modeled with multivariate discrete dynamical systems. Current theory suggests that the network of interactions captures salient features of system dynamics, but it misses a key aspect of these networks: some interactions are more important than others due to dynamical redundancy and nonlinearity. This unequivalence leads to a canalized dynamics that differs from constraints inferred from network structure alone. To capture the redundancy present in biochemical regulatory and signaling interactions, we present the effective graph, an experimentally validated mathematical framework that synthesizes both structure and dynamics in a weighted graph representation of discrete multivariate systems. Our results demonstrate the ubiquity of redundancy in biology and provide a tool to increase causal explainability and control of biochemical systems.
The 20th anniversary of the publication of the first draft of the human genome1,2 offers an opportunity to track how the project has empowered research into the genetic roots of human disease, changed drug discovery and helped to revise the idea of …
By studying the publication careers of over 1.5 million scientists, we take a career-focused persepective to identify the factors inhibiting gender equity in STEM. We find that despite an improved trend towards population equality, the gender differences in career-wise productivity and impact have been growing over the last 70 years. Yet, the research outcomes of men and women year to year are essentially equivalent. Third, and most importantly, women are ending their publishing careers at higher rates than men, and this is happening across every stage of their careers.
Logical models offer a simple but powerful means to understand the complex dynamics of biochemical regulation, without the need to estimate kinetic parameters. However, even simple automata components can lead to collective dynamics that are …
Clustering similarity measures can be classified based on the cluster types: i) partitions that group elements into non-overlapping clusters, ii) hierarchical clusterings that group elements into a nested series of partitions (a.k.a. dendrogram), or …