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2 produkter
2 produkter
- Nyhet
Data Science and Social Research III
Epistemology, Methods, Technology, Applications, and Relation to Artificial Intelligence
Häftad, Engelska, 2026
2 975 kr
Kommande
This volume reflects the state of the art in social data science and comprises a selection of peer-reviewed papers from the 4th International Conference on Data Science and Social Research, DSSR 2024, held in Naples, Italy, March 25–27, 2024. Drawing on statistics and computational methods within data science, it explores the opportunities and challenges that the “data revolution” poses to social research, addressing key areas such as sustainable development, social inequalities, public health, communication, and futures studies.The contributions examine complex social systems and present new social research on human behavior and society, using large datasets gathered from a variety of sources, such as social media and communication systems, or produced through controlled experiments, along with new methodological advancements for extracting social knowledge from large-scale datasets. Methodological, ethical, and digital data quality issues pertaining to social platforms are covered, with a focus on both the study of spatial data as well as sustainability, including sustainable tourism, and integrated systems are examined to take advantage of new sources of social data.
Data Science and Social Research
Epistemology, Methods, Technology and Applications
Häftad, Engelska, 2017
1 682 kr
Skickas inom 10-15 vardagar
This edited volume lays the groundwork for Social Data Science, addressing epistemological issues, methods, technologies, software and applications of data science in the social sciences. It presents data science techniques for the collection, analysis and use of both online and offline new (big) data in social research and related applications. Among others, the individual contributions cover topics like social media, learning analytics, clustering, statistical literacy, recurrence analysis and network analysis. Data science is a multidisciplinary approach based mainly on the methods of statistics and computer science, and its aim is to develop appropriate methodologies for forecasting and decision-making in response to an increasingly complex reality often characterized by large amounts of data (big data) of various types (numeric, ordinal and nominal variables, symbolic data, texts, images, data streams, multi-way data, social networks etc.) and from diverse sources.This book presents selected papers from the international conference on Data Science & Social Research, held in Naples, Italy in February 2016, and will appeal to researchers in the social sciences working in academia as well as in statistical institutes and offices.