Martin W. Bauer – författare

Qualitative Researching with Text, Image and Sound offers a unique resource for today's social researcher. This practical handbook provides a comprehensive and accessible introduction to a broad range of research methods with the objective of clarifying procedures, good practice and public accountability.

Following an introduction which discusses quality and quantity, and how these relate to issues of representation and knowledge interests in social research, the book is organized into four parts:

· Part I covers different ways of collecting data and different types of data relating to text, image and sound: corpus construction, individual and group interviewing, narrative and episodic interviewing, video and film, and bemetology.

· Part II introduces the main analytic approaches for text, image and sound: classical content analysis, argumentation, discourse, conversation analysis, rhetoric, semiotics, analysis of moving images, and of noise and music - each includes an introduction with examples and step-by-step advice on how to do it.

· Part III covers computer-assisted analysis - including computer-assisted qualitative data analysis and key-word-in-context analysis.

· Part IV addresses issues of good practice, looking at problems and fallacies in interpretation and develops quality criteria for qualitative research.

This book provides researchers with the skills and knowledge to make the appropriate choices between different methods, types of data, and analytic procedures, and gives examples and criteria of good practice for each one. It will be essential reading for students and researchers across the social sciences.

Qualitative Researching with Text, Image and Sound offers a unique resource for today's social researcher. This practical handbook provides a comprehensive and accessible introduction to a broad range of research methods with the objective of clarifying procedures, good practice and public accountability.

Following an introduction which discusses quality and quantity, and how these relate to issues of representation and knowledge interests in social research, the book is organized into four parts:

· Part I covers different ways of collecting data and different types of data relating to text, image and sound: corpus construction, individual and group interviewing, narrative and episodic interviewing, video and film, and bemetology.

· Part II introduces the main analytic approaches for text, image and sound: classical content analysis, argumentation, discourse, conversation analysis, rhetoric, semiotics, analysis of moving images, and of noise and music - each includes an introduction with examples and step-by-step advice on how to do it.

· Part III covers computer-assisted analysis - including computer-assisted qualitative data analysis and key-word-in-context analysis.

· Part IV addresses issues of good practice, looking at problems and fallacies in interpretation and develops quality criteria for qualitative research.

This book provides researchers with the skills and knowledge to make the appropriate choices between different methods, types of data, and analytic procedures, and gives examples and criteria of good practice for each one. It will be essential reading for students and researchers across the social sciences.

This book analyses communication of university research institutes, with a focus on science communication. Advancing the ‘decentralisation hypothesis’, it asserts that communication structures are increasingly built also at ‘subordinate unit’ levels of research universities.

The book presents a cross-country systematic comparison of institutes’ communication activities showing ongoing transformations in their communication capabilities and practices. It considers a potential ‘arms race’ in activities, professionalisation, motivations, and evaluation. Based on empirical evidence from an international study carried out in various countries across Europe, the Americas, and Asia, the book examines the possibilities for civic science communication in this new context.

It will be of interest to scholars and students of Communication Studies, STS, and Science Communication as well as to those taking or leading courses in the fields of Sociology, Public Relations, Marketing, Environmental and Risk Communication, Innovation Studies, and Social Psychology. It is an essential resource for funders, practitioners, teachers, and students dealing with science communication and the position of science in society.

This book analyses communication of university research institutes, with a focus on science communication. Advancing the ‘decentralisation hypothesis’, it asserts that communication structures are increasingly built also at ‘subordinate unit’ levels of research universities.

The book presents a cross-country systematic comparison of institutes’ communication activities showing ongoing transformations in their communication capabilities and practices. It considers a potential ‘arms race’ in activities, professionalisation, motivations, and evaluation. Based on empirical evidence from an international study carried out in various countries across Europe, the Americas, and Asia, the book examines the possibilities for civic science communication in this new context.

It will be of interest to scholars and students of Communication Studies, STS, and Science Communication as well as to those taking or leading courses in the fields of Sociology, Public Relations, Marketing, Environmental and Risk Communication, Innovation Studies, and Social Psychology. It is an essential resource for funders, practitioners, teachers, and students dealing with science communication and the position of science in society.

Common sense is the endless frontier in the development of artificial intelligence, but what exactly is common sense, can we replicate it in algorithmic form, and if we can – should we?

Bauer, Schiele and their contributors from a range of disciplines analyse the nature of common sense, and the consequent challenges of incorporating into artificial intelligence models. They look at different ways we might understand common sense and which of these ways are simulated within computer algorithms. These include sensory integration, self-evident truths, rhetorical common places, and mutuality and intentionality of actors within a moral community. How far are these possible features within and of machines? Approaching from a range of perspectives including Sociology, Political Science, Media and Culture, Psychology and Computer Science, the contributors lay out key questions, practical challenges and "common sense" concerns underlying the incorporation of common sense within machine learning algorithms for simulating intelligence, socialising robots, self-driving vehicles, personnel selection, reading, automatic text analysis, and text production.

A valuable resource for students and scholars of Science–Technology–Society Studies, Sociologists, Psychologists, Media and Culture Studies, human–computer interaction with an interest in the post-human, and programmers tackling the contextual questions of machine learning.

Common sense is the endless frontier in the development of artificial intelligence, but what exactly is common sense, can we replicate it in algorithmic form, and if we can – should we?

Bauer, Schiele and their contributors from a range of disciplines analyse the nature of common sense, and the consequent challenges of incorporating into artificial intelligence models. They look at different ways we might understand common sense and which of these ways are simulated within computer algorithms. These include sensory integration, self-evident truths, rhetorical common places, and mutuality and intentionality of actors within a moral community. How far are these possible features within and of machines? Approaching from a range of perspectives including Sociology, Political Science, Media and Culture, Psychology and Computer Science, the contributors lay out key questions, practical challenges and "common sense" concerns underlying the incorporation of common sense within machine learning algorithms for simulating intelligence, socialising robots, self-driving vehicles, personnel selection, reading, automatic text analysis, and text production.

A valuable resource for students and scholars of Science–Technology–Society Studies, Sociologists, Psychologists, Media and Culture Studies, human–computer interaction with an interest in the post-human, and programmers tackling the contextual questions of machine learning.

Analyzing the role of journalists in science communication, this book presents a perspective on how this is going to evolve in the twenty-first century.

The book takes three distinct perspectives on this interesting subject. Firstly, science journalists reflect on their ‘operating rules’ (science news values and news making routines). Secondly, a brief history of science journalism puts things into context, characterising the changing output of science writing in newspapers over time. Finally, the book invites several international journalists or communication scholars to comment on these observations thereby opening the global perspective.

This unique project will interest a range of readers including science communication students, media studies scholars, professionals working in science communication and journalists.

Analyzing the role of journalists in science communication, this book presents a perspective on how this is going to evolve in the twenty-first century.

The book takes three distinct perspectives on this interesting subject. Firstly, science journalists reflect on their ‘operating rules’ (science news values and news making routines). Secondly, a brief history of science journalism puts things into context, characterising the changing output of science writing in newspapers over time. Finally, the book invites several international journalists or communication scholars to comment on these observations thereby opening the global perspective.

This unique project will interest a range of readers including science communication students, media studies scholars, professionals working in science communication and journalists.

The impact of genomics on society has been the focus of debate and conflict across the world. Contrasting views of risks and benefits, trust in science and regulation, the understanding of science, media coverage and mobilization of the public by civil society groups all have been cited as drivers of public opinion. The long running controversy is a signal that the public''s view cannot be ignored in the development and implementation of new technologies arising out of genomics such as agricultural biotechnologies, genetic testing and the uses of genetic information, the cloning of human cells and tissues and transgenic animals.

Written by a progressive international group of social scientists from Europe, North America and Japan, this volume presents a series of comparative perspectives on the social, ethical and legal implications of genomics. The result is a book which encapsulates the lessons to be learned from the controversies of the 1990s and raises the level of debate on the societal implications of new developments in genomics.

The impact of genomics on society has been the focus of debate and conflict across the world. Contrasting views of risks and benefits, trust in science and regulation, the understanding of science, media coverage and mobilization of the public by civil society groups all have been cited as drivers of public opinion. The long running controversy is a signal that the public''s view cannot be ignored in the development and implementation of new technologies arising out of genomics such as agricultural biotechnologies, genetic testing and the uses of genetic information, the cloning of human cells and tissues and transgenic animals.

Written by a progressive international group of social scientists from Europe, North America and Japan, this volume presents a series of comparative perspectives on the social, ethical and legal implications of genomics. The result is a book which encapsulates the lessons to be learned from the controversies of the 1990s and raises the level of debate on the societal implications of new developments in genomics.

This book offers the first comparative account of the changes and stabilities of public perceptions of science within the US, France, China, Japan, and across Europe over the past few decades. The contributors address the influence of cultural factors; the question of science and religion and its influence on particular developments (e.g. stem cell research); and the demarcation of science from non-science as well as issues including the ‘incommensurability’ versus ‘cognitive polyphasia’ and the cognitive (in)tolerance of different systems of knowledge.

This book offers the first comparative account of the changes and stabilities of public perceptions of science within the US, France, China, Japan, and across Europe over the past few decades. The contributors address the influence of cultural factors; the question of science and religion and its influence on particular developments (e.g. stem cell research); and the demarcation of science from non-science as well as issues including the ‘incommensurability’ versus ‘cognitive polyphasia’ and the cognitive (in)tolerance of different systems of knowledge.

"Atom," "byte" and "gene" are metonymies for techno-scientific developments of the 20th century: nuclear power, computing and genetic engineering. Resistance continues to challenge these developments in public opinion. This book traces historical debates over atoms, bytes and genes which raised controversy with consequences, and argues that public opinion is a factor of the development of modern techno-science. The level and scope of public controversy is an index of resistance, examined here with a "pain analogy" which shows that just as pain impacts movement, resistance impacts techno-scientific mobilization: it signals that something is wrong, and this requires attention, elaboration and a response to the challenge. This analysis shows how different fields of enquiry deal with the resistance of social-psychological mentalities in the face of industrial, scientific and political activities inspired by projected futures.

"Atom," "byte" and "gene" are metonymies for techno-scientific developments of the 20th century: nuclear power, computing and genetic engineering. Resistance continues to challenge these developments in public opinion. This book traces historical debates over atoms, bytes and genes which raised controversy with consequences, and argues that public opinion is a factor of the development of modern techno-science. The level and scope of public controversy is an index of resistance, examined here with a "pain analogy" which shows that just as pain impacts movement, resistance impacts techno-scientific mobilization: it signals that something is wrong, and this requires attention, elaboration and a response to the challenge. This analysis shows how different fields of enquiry deal with the resistance of social-psychological mentalities in the face of industrial, scientific and political activities inspired by projected futures.

Qualitative Researching with Text, Image and Sound offers a unique resource for today′s social researcher. This practical handbook provides a comprehensive and accessible introduction to a broad range of research methods with the objective of clarifying procedures, good practice and public accountability.

Following an introduction which discusses quality and quantity, and how these relate to issues of representation and knowledge interests in social research, the book is organized into four parts:

· Part I covers different ways of collecting data and different types of data relating to text, image and sound: corpus construction, individual and group interviewing, narrative and episodic interviewing, video and film, and bemetology.

· Part II introduces the main analytic approaches for text, image and sound: classical content analysis, argumentation, discourse, conversation analysis, rhetoric, semiotics, analysis of moving images, and of noise and music - each includes an introduction with examples and step-by-step advice on how to do it.

· Part III covers computer-assisted analysis - including computer-assisted qualitative data analysis and key-word-in-context analysis.

· Part IV addresses issues of good practice, looking at problems and fallacies in interpretation and develops quality criteria for qualitative research.

This book provides researchers with the skills and knowledge to make the appropriate choices between different methods, types of data, and analytic procedures, and gives examples and criteria of good practice for each one. It will be essential reading for students and researchers across the social sciences.