The Impact Of The Social Sciences
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| Author | : Simon Bastow |
| Publisher | : SAGE |
| Total Pages | : 625 |
| Release | : 2014-01-17 |
| Genre | : Social Science |
| ISBN | : 1446293254 |
The impact agenda is set to shape the way in which social scientists prioritise the work they choose to pursue, the research methods they use and how they publish their findings over the coming decade, but how much is currently known about how social science research has made a mark on society? Based on a three year research project studying the impact of 360 UK-based academics on business, government and civil society sectors, this groundbreaking new book undertakes the most thorough analysis yet of how academic research in the social sciences achieves public policy impacts, contributes to economic prosperity, and informs public understanding of policy issues as well as economic and social changes. The Impact of the Social Sciences addresses and engages with key issues, including: identifying ways to conceptualise and model impact in the social sciences developing more sophisticated ways to measure academic and external impacts of social science research explaining how impacts from individual academics, research units and universities can be improved. This book is essential reading for researchers, academics and anyone involved in discussions about how to improve the value and impact of funded research.
| Author | : Mark Solovey |
| Publisher | : MIT Press |
| Total Pages | : 409 |
| Release | : 2020-07-07 |
| Genre | : Political Science |
| ISBN | : 0262358751 |
How the NSF became an important yet controversial patron for the social sciences, influencing debates over their scientific status and social relevance. In the early Cold War years, the U.S. government established the National Science Foundation (NSF), a civilian agency that soon became widely known for its dedication to supporting first-rate science. The agency's 1950 enabling legislation made no mention of the social sciences, although it included a vague reference to "other sciences." Nevertheless, as Mark Solovey shows in this book, the NSF also soon became a major--albeit controversial--source of public funding for them.
| Author | : Anol Bhattacherjee |
| Publisher | : CreateSpace |
| Total Pages | : 156 |
| Release | : 2012-04-01 |
| Genre | : Science |
| ISBN | : 9781475146127 |
This book is designed to introduce doctoral and graduate students to the process of conducting scientific research in the social sciences, business, education, public health, and related disciplines. It is a one-stop, comprehensive, and compact source for foundational concepts in behavioral research, and can serve as a stand-alone text or as a supplement to research readings in any doctoral seminar or research methods class. This book is currently used as a research text at universities on six continents and will shortly be available in nine different languages.
| Author | : Miltiadis D. Lytras |
| Publisher | : MDPI |
| Total Pages | : 416 |
| Release | : 2020-03-19 |
| Genre | : Technology & Engineering |
| ISBN | : 3039282204 |
A new era of innovation is enabled by the integration of social sciences and information systems research. In this context, the adoption of Big Data and analytics technology brings new insight to the social sciences. It also delivers new, flexible responses to crucial social problems and challenges. We are proud to deliver this edited volume on the social impact of big data research. It is one of the first initiatives worldwide analyzing of the impact of this kind of research on individuals and social issues. The organization of the relevant debate is arranged around three pillars: Section A: Big Data Research for Social Impact: • Big Data and Their Social Impact; • (Smart) Citizens from Data Providers to Decision-Makers; • Towards Sustainable Development of Online Communities; • Sentiment from Online Social Networks; • Big Data for Innovation. Section B. Techniques and Methods for Big Data driven research for Social Sciences and Social Impact: • Opinion Mining on Social Media; • Sentiment Analysis of User Preferences; • Sustainable Urban Communities; • Gender Based Check-In Behavior by Using Social Media Big Data; • Web Data-Mining Techniques; • Semantic Network Analysis of Legacy News Media Perception. Section C. Big Data Research Strategies: • Skill Needs for Early Career Researchers—A Text Mining Approach; • Pattern Recognition through Bibliometric Analysis; • Assessing an Organization’s Readiness to Adopt Big Data; • Machine Learning for Predicting Performance; • Analyzing Online Reviews Using Text Mining; • Context–Problem Network and Quantitative Method of Patent Analysis. Complementary social and technological factors including: • Big Social Networks on Sustainable Economic Development; Business Intelligence.
| Author | : Kenneth Ewart Boulding |
| Publisher | : New Brunswick, N.J : Rutgers University Press |
| Total Pages | : 136 |
| Release | : 1966 |
| Genre | : Social Science |
| ISBN | : |
"The social sciences now affect and shape man's conduct of his affairs".
| Author | : Adam Smith |
| Publisher | : |
| Total Pages | : 522 |
| Release | : 1822 |
| Genre | : Economics |
| ISBN | : |
| Author | : Murray Webster |
| Publisher | : Elsevier |
| Total Pages | : 574 |
| Release | : 2007-07-03 |
| Genre | : Education |
| ISBN | : 0080546145 |
Laboratory Experiments in the Social Sciences is the only book providing core information for researchers about the ways and means to conduct experiments. Its comprehensive regard for laboratory experiments encompasses “how-to explanations, investigations of philosophies and ethics, explorations of experiments in specific social science disciplines, and summaries of both the history and future of social science laboratories. No other book offers such a direct avenue to enlarging our knowledge in the social sciences.This collection of original chapters combines instructions and advice about the design of laboratory experiments in the social sciences with the array of other issues. While there are books on experimental design and chapters in more general methods books on design, theory, and ethical issues, no other book attempts to discuss the fundamental ideas of the philosophy of science or lays out the methods comprehensively or in such detail. Experimentation has recently prospered because of increasing interest in cross-disciplinary syntheses, and this book of advice, guidelines, and observations underline its potential and increasing importance. · Provides a comprehensive summary of issues in social science experimentation, from ethics to design, management, and financing· Offers "how-to" explanations of the problems and challenges faced by everyone involved in social science experiments· Pays attention to both practical problems and to theoretical and philosophical arguments· Defines commonalities and distinctions within and among experimental situations across the social sciences
| Author | : Gerry Stoker |
| Publisher | : Bloomsbury Publishing |
| Total Pages | : 292 |
| Release | : 2015-03-26 |
| Genre | : Political Science |
| ISBN | : 1137506601 |
What does political science tell us about important real-world problems and issues? And to what extent does and can political analysis contribute to solutions? Debates about the funding, impact and relevance of political science in contemporary democracies have made this a vital and hotly contested topic of discussion, and in this original text authors from around the world respond to the challenge. A robust defence is offered of the achievements of political science research, but the book is not overly sanguine given its sustained recognition of the need for improvement in the way that political science is done. New insights are provided into the general issues raised by relevance, into blockages to relevance, and into the contributions that the different subfields of political science can and do make. The book concludes with a new manifesto for relevance that seeks to combine a commitment to rigour with a commitment to engagement.
| Author | : Garret Christensen |
| Publisher | : University of California Press |
| Total Pages | : 266 |
| Release | : 2019-07-23 |
| Genre | : Social Science |
| ISBN | : 0520296958 |
Recently, social science has had numerous episodes of influential research that was found invalid when placed under rigorous scrutiny. The growing sense that many published results are potentially erroneous has made those conducting social science research more determined to ensure the underlying research is sound. Transparent and Reproducible Social Science Research is the first book to summarize and synthesize new approaches to combat false positives and non-reproducible findings in social science research, document the underlying problems in research practices, and teach a new generation of students and scholars how to overcome them. Understanding that social science research has real consequences for individuals when used by professionals in public policy, health, law enforcement, and other fields, the book crystallizes new insights, practices, and methods that help ensure greater research transparency, openness, and reproducibility. Readers are guided through well-known problems and are encouraged to work through new solutions and practices to improve the openness of their research. Created with both experienced and novice researchers in mind, Transparent and Reproducible Social Science Research serves as an indispensable resource for the production of high quality social science research.
| Author | : Elena Llaudet |
| Publisher | : Princeton University Press |
| Total Pages | : 256 |
| Release | : 2022-11-29 |
| Genre | : Computers |
| ISBN | : 0691199434 |
"Data analysis has become a necessary skill across the social sciences, and recent advancements in computing power have made knowledge of programming an essential component. Yet most data science books are intimidating and overwhelming to a non-specialist audience, including most undergraduates. This book will be a shorter, more focused and accessible version of Kosuke Imai's Quantitative Social Science book, which was published by Princeton in 2018 and has been adopted widely in graduate level courses of the same title. This book uses the same innovative approach as Quantitative Social Science , using real data and 'R' to answer a wide range of social science questions. It assumes no prior knowledge of statistics or coding. It starts with straightforward, simple data analysis and culminates with multivariate linear regression models, focusing more on the intuition of how the math works rather than the math itself. The book makes extensive use of data visualizations, diagrams, pictures, cartoons, etc., to help students understand and recall complex concepts, provides an easy to follow, step-by-step template of how to conduct data analysis from beginning to end, and will be accompanied by supplemental materials in the appendix and online for both students and instructors"--
