Integrating explanation and prediction in computational social science
Computational social science is more than just large repositories of digital data and the
computational methods needed to construct and analyse them. It also represents a …
computational methods needed to construct and analyse them. It also represents a …
Computational social science and sociology
The integration of social science with computer science and engineering fields has
produced a new area of study: computational social science. This field applies …
produced a new area of study: computational social science. This field applies …
[HTML][HTML] Knowledge Discovery: Methods from data mining and machine learning
The interdisciplinary field of knowledge discovery and data mining emerged from a
necessity of big data requiring new analytical methods beyond the traditional statistical …
necessity of big data requiring new analytical methods beyond the traditional statistical …
A sociotechnical perspective for the future of AI: narratives, inequalities, and human control
Different people have different perceptions about artificial intelligence (AI). It is extremely
important to bring together all the alternative frames of thinking—from the various …
important to bring together all the alternative frames of thinking—from the various …
Machine learning for social science: An agnostic approach
Social scientists are now in an era of data abundance, and machine learning tools are
increasingly used to extract meaning from data sets both massive and small. We explain …
increasingly used to extract meaning from data sets both massive and small. We explain …
What is your estimand? Defining the target quantity connects statistical evidence to theory
We make only one point in this article. Every quantitative study must be able to answer the
question: what is your estimand? The estimand is the target quantity—the purpose of the …
question: what is your estimand? The estimand is the target quantity—the purpose of the …
Measuring the predictability of life outcomes with a scientific mass collaboration
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 …
collaboration using the common task method; 160 teams built predictive models for six life …
Why hate carbon taxes? Machine learning evidence on the roles of personal responsibility, trust, revenue recycling, and other factors across 23 European countries
S Levi - Energy Research & Social Science, 2021 - Elsevier
Carbon taxes are considered a key instrument for achieving deep decarbonization but are
often unpopular among voters. While existing studies indicate that public opposition to …
often unpopular among voters. While existing studies indicate that public opposition to …
Machine learning, artificial neural networks and social research
G Di Franco, M Santurro - Quality & quantity, 2021 - Springer
Abstract Machine learning (ML), and particularly algorithms based on artificial neural
networks (ANNs), constitute a field of research lying at the intersection of different disciplines …
networks (ANNs), constitute a field of research lying at the intersection of different disciplines …
Surprising combinations of research contents and contexts are related to impact and emerge with scientific outsiders from distant disciplines
We investigate the degree to which impact in science and technology is associated with
surprising breakthroughs, and how those breakthroughs arise. Identifying breakthroughs …
surprising breakthroughs, and how those breakthroughs arise. Identifying breakthroughs …