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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.
Impact has become a central part of the assessment criteria for academic worth. It has been adopted by many research funding bodies, and it is firmly embedded in the British Research Excellence Framework. However, a clear definition of impact remains elusive and guidance on how exactly to achieve it is often superficial. This concise, informative book analyses impact across the social sciences. It draws on the analysis of the most highly ranked British impact case studies from the 2014 Research Excellence Framework, as well as fifteen interviews with senior academics, providing a longitudinal and critical framing of impact. The author concludes with valuable recommendations of how and when scholars can achieve impact.
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.
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.
The essays presented in this volume examine knowledge mobilisation and its relation to research impact and engagement. The social sciences matter because they can help us to understand and address the complex challenges confronting society. This is particularly true in an era of significant downward pressure on public expenditure, a consequence of the global fiscal crisis, when there is a striking need to ensure that policies are demonstrably effective and efficient. The impact agenda in the UK, reflected in parallel global debates, actively encourages the social sciences to make and demonstrate a difference; to justify and protect social science funding. This volume shows how knowledge mobilisation can be thought of systematically as a process, encompassing engagement, leading to the co-production and channelling of knowledge to make a difference in the economy and society. This book was originally published as a special issue of Contemporary Social Science.
Written in a friendly, accessible style by an expert team of authors with years of experience in both conducting and supervising systematic reviews, this is the perfect guide to using systematic review methodology in a research project. It provides clear answers to all review-related questions, including: How do I formulate an appropriate review question? What’s the best way to manage my review? How do I develop my search strategy? How do I get started with data extraction? How do I assess the quality of a study? How can I analyse and synthesize my data? How should I write up the discussion and conclusion sections of my dissertation or thesis?
"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"--
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.
This book gathers an expert group of social scientists to showcase emerging forms of analysis and evaluation for public policy analysis. Each chapter highlights a different method or approach, putting it in context and highlighting its key features before illustrating its application and potential value to policy makers. Aimed at upper-level undergraduates in public policy and social work, it also has much to offer policy makers and practitioners themselves.
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.