An oracle that correctly predicts the outcome of every particle physics experiment, the
products of every possible chemical reaction or the function of every protein would …

Artificial intelligence (AI) is beginning to transform traditional research practices in many
areas. In this context, literature reviews stand out because they operate on large and rapidly …

We study how humans make decisions when they collaborate with an artificial intelligence
(AI) in a setting where humans and the AI perform classification tasks. Our experimental …

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

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 …

A large variety of models have been developed in the last two decades aiming at supply
chain (SC) stress-testing and resilience. New digital and artificial intelligence (AI) …

The advent of large-scale datasets that trace the workings of science has encouraged
researchers from many different disciplinary backgrounds to turn scientific methods into …

INTRODUCTION In most areas of human performance, from sport to engineering, the path to
a major accomplishment requires a steep learning curve and long practice. Science is not …

Abstract We describe the Cacioppo Evolutionary Theory of Loneliness (ETL) and its
manifestations in contemporary society. The early conceptualizations of loneliness were as …