Given the emergence of data science and machine learning throughout all aspects of
society, but particularly in the scientific domain, there is increased importance placed on …

BACKGROUND The increasing availability of digital data on scholarly inputs and outputs—
from research funding, productivity, and collaboration to paper citations and scientist mobility …

In many academic fields, the number of papers published each year has increased
significantly over time. Policy measures aim to increase the quantity of scientists, research …

Prior work finds a diversity paradox: Diversity breeds innovation, yet underrepresented
groups that diversify organizations have less successful careers within them. Does the …

We investigate the degree to which impact in science and technology is associated with
surprising breakthroughs, and how those breakthroughs arise. Identifying breakthroughs …

We argue word embedding models are a useful tool for the study of culture using a historical
analysis of shared understandings of social class as an empirical case. Word embeddings …

The rapid development of digital libraries and the proliferation of scholarly big data have
created an unprecedented opportunity to explore scientific production and reward at scale …

The integration of social science with computer science and engineering fields has
produced a new area of study: computational social science. This field applies …

World-renowned economist Klaus Schwab, Founder and Executive Chairman of the World
Economic Forum, explains that we have an opportunity to shape the fourth industrial …

From two experts in the field comes an accessible, how-to guide that will help researchers
think more productively about the relation between theory and data at every stage of their …