Download Free Social Science In Industry Book in PDF and EPUB Free Download. You can read online Social Science In Industry and write the review.

It seems like most of what we read about the academic social sciences in the mainstream media is negative. The field is facing mounting criticism, as canonical studies fail to replicate, questionable research practices abound, and researcher social and political biases come under fire. In response to these criticisms, Matt Grossmann, in How Social Science Got Better, provides a robust defense of the current state of the social sciences. Applying insights from the philosophy, history, and sociology of science and providing new data on research trends and scholarly views, he argues that, far from crisis, social science is undergoing an unparalleled renaissance of ever-broader understanding and application. According to Grossmann, social science research today has never been more relevant, rigorous, or self-reflective because scholars have a much better idea of their blind spots and biases. He highlights how scholars now closely analyze the impact of racial, gender, geographic, methodological, political, and ideological differences on research questions; how the incentives of academia influence our research practices; and how universal human desires to avoid uncomfortable truths and easily solve problems affect our conclusions. Though misaligned incentive structures of course remain, a messy, collective deliberation across the research community has shifted us into an unprecedented age of theoretical diversity, open and connected data, and public scholarship. Grossmann's wide-ranging account of current trends will necessarily force the academy's many critics to rethink their lazy critiques and instead acknowledge the path-breaking advances occurring in the social sciences today.
"This study deals with the industrial use of those disciplines which are primarily and directly concerned with human thought and conduct in the widest sense and which do not emphasize particular aspects of human experience. Thus by "social science" is meant only psychology, sociology, occasionally anthropology, and the new field of human relations. Other social sciences, for example economics and political science, become relevant at a very few points and are dealt with when necessary"--Preface. (PsycINFO Database Record (c) 2006 APA, all rights reserved).
This book is the first to directly address the question of how to bridge what has been termed the "great divide" between the approaches of systems developers and those of social scientists to computer supported cooperative work--a question that has been vigorously debated in the systems development literature. Traditionally, developers have been trained in formal methods and oriented to engineering and formal theoretical problems; many social scientists in the CSCW field come from humanistic traditions in which results are reported in a narrative mode. In spite of their differences in style, the two groups have been cooperating more and more in the last decade, as the "people problems" associated with computing become increasingly evident to everyone. The authors have been encouraged to examine, rigorously and in depth, the theoretical basis of CSCW. With contributions from field leaders in the United Kingdom, France, Scandinavia, Mexico, and the United States, this volume offers an exciting overview of the cutting edge of research and theory. It constitutes a solid foundation for the rapidly coalescing field of social informatics. Divided into three parts, this volume covers social theory, design theory, and the sociotechnical system with respect to CSCW. The first set of chapters looks at ways of rethinking basic social categories with the development of distributed collaborative computing technology--concepts of the group, technology, information, user, and text. The next section concentrates more on the lessons that can be learned at the design stage given that one wants to build a CSCW system incorporating these insights--what kind of work does one need to do and how is understanding of design affected? The final part looks at the integration of social and technical in the operation of working sociotechnical systems. Collectively the contributors make the argument that the social and technical are irremediably linked in practice and so the "great divide" not only should be a thing of the past, it should never have existed in the first place.
Social science knowledge and skills are essential to business operations and development in a wide range of business sectors in the UK, according to a new report by the Campaign for Social Science and SAGE Publishing. Based on in-depth interviews with business leaders at Cisco, Deloitte, Royal Dutch Shell, Willis-Re, WSP and more, the report’s findings reveal that employees with social science training are often the operational enablers keeping businesses afloat - HR, accounting, finance, marketing and legal - and play key roles in facilitating and increasing business growth, product development, risk management and strategic planning. As the need for a post-pandemic economic recovery strategy becomes ever more urgent, and as government considers future and higher education, insights from Vital Business: The Essential Role of Social Sciences in the UK Private Sector are both timely and apt. Above all, the report demonstrates that social science subjects are vital for business and should be both welcomed and supported by government in the education system at school and university, alongside STEM disciplines, as essential to the workforce of today and tomorrow.
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 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.
The Handbook of Computational Social Science is a comprehensive reference source for scholars across multiple disciplines. It outlines key debates in the field, showcasing novel statistical modeling and machine learning methods, and draws from specific case studies to demonstrate the opportunities and challenges in CSS approaches. The Handbook is divided into two volumes written by outstanding, internationally renowned scholars in the field. This second volume focuses on foundations and advances in data science, statistical modeling, and machine learning. It covers a range of key issues, including the management of big data in terms of record linkage, streaming, and missing data. Machine learning, agent-based and statistical modeling, as well as data quality in relation to digital trace and textual data, as well as probability, non-probability, and crowdsourced samples represent further foci. The volume not only makes major contributions to the consolidation of this growing research field, but also encourages growth into new directions. With its broad coverage of perspectives (theoretical, methodological, computational), international scope, and interdisciplinary approach, this important resource is integral reading for advanced undergraduates, postgraduates, and researchers engaging with computational methods across the social sciences, as well as those within the scientific and engineering sectors.
First published in 2002. Routledge is an imprint of Taylor & Francis, an informa company.
In Alternative Pathways in Science and Industry, David Hess examines how social movements and other forms of activism affect innovation in science, technology, and industry. Synthesizing and extending work in social studies of science and technology, social movements, and globalization, Hess explores the interaction of grassroots environmental action and mainstream industry and offers a conceptual framework for understanding it. Hess proposes a theory of scientific and technological change that considers the roles that both industry and grassroots consumers play in setting the research agenda in science and technology, and he identifies "alternative pathways" by which social movements can influence scientific and technological innovation. He analyzes four of these pathways: industrial opposition movements, organized against targeted technologies (as in the campaign against nuclear energy); technology- and product-oriented movements, which press for alternatives (as does the organic food movement); localism, which promotes local ownership (as in "buy-local" campaigns); and access pathways, which support a more equitable distribution of resources. Within each pathway, Hess examines reforms in five different areas: agriculture, energy, waste and manufacturing, infrastructure, and finance. The book's theoretical argument and empirical evidence demonstrate the complex pattern of incorporation (of grassroots innovations) and transformation (of alternative ownership structures and the alternative products themselves) that has characterized the relationship of industry and activism. Hess's analysis of alternative pathways to change suggests ways economic organizations could shift to a more just and sustainable course in the twenty-first century.