Proceedings ArticleDOI
Future developments in social science computing
George Sadowsky
- pp 875-883
TLDR
The set of computer related activities characterized by the term "social science computing" is both diverse and extensive and has grown substantially both in scope and in volume during the past 15 years.Abstract:
The set of computer related activities characterized by the term "social science computing" is both diverse and extensive. During the past 15 years, such activities have grown substantially both in scope and in volume and have become increasingly important both for basic research in the social and behavioral sciences and for public policy formation and evaluation.read more
Citations
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Journal ArticleDOI
Wrapping up the package: Critical thoughts on applications software for social data analysis
TL;DR: A survey of the forces which produced the over-packaging of most social science statistical analysis, and how well have the available programs served the current generation, and what are the prospects for the students of the 1970s?
Journal ArticleDOI
Data Management and Statistical Analysis in Social Science Computing
TL;DR: The most common use of computers in the social sciences is for statistical analysis and related data management and the statistics and data management area is a major focus.
Journal ArticleDOI
Reducing incompatibilities in social science software and data: Current and proposed effort:
TL;DR: The development of computer software tailored to social science research is less than two decades old, yet in a very short time numerous programs, packages, and computer-based data sets have been developed.
Journal ArticleDOI
Computers and the Social Sciences: An Overview
TL;DR: The American Behavioral Scientist as discussed by the authors provides an overview of the ways in which computers are used in the social sciences, focusing on psychology, sociology, political science, anthropology, economics, and education.
Proceedings Article
Unveiling latent states behind social indicators
TL;DR: This work aims at describing a project that leverages the potential of Information Retrieval and Machine Learning towards novel techniques that unveil the latent states of expert users such as sociologists and economists by means of indicators when the user is accessing large collection of newspapers, blogs, etc.
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