The digital transformation is turning archives, both old and new, into data. As a
consequence, automation in the form of artificial intelligence techniques is increasingly …

How predictable are life trajectories? We investigated this question with a scientific mass
collaboration using the common task method; 160 teams built predictive models for six life …

This paper delves into the deep-rooted factors causing cross-cultural differences and their
subsequent impact on the effectiveness of human resource practices in organizations …

In designing and implementing initiatives to conserve biodiversity and ensure the flow of
ecosystem services, it is crucial to understand the perspectives of communities living near …

Two decades ago, Leo Breiman identified two cultures for statistical modeling. The data
modeling culture (DMC) refers to practices aiming to conduct statistical inference on one or …

Contemporary sociological research is unthinkable without computers. Using computers for
tasks such as data storage, data analysis, literature search and the like has become a …

This paper proposes to treat strategic foresight as a dynamic capability, providing a new
theoretical lens on managerial judgment. Formulating strategy under uncertainty is a central …

Este livro surgiu a partir de um evento promovido na Universidade de São Paulo (USP) pelo
Instituto de Estudos Avançados (IEA) e pela Pró-Reitoria de Pesquisa da USP, focado em …

There are many approaches to the modelling of citation vectors of individual authors. Models
may serve different purposes, but usually they are evaluated with regards to how well they …

Abstract Machine learning (ML), it is sometimes claimed, will change the world. In this
chapter, we argue that ML does offer great potential for advancing the field of cliometrics. We …