""It is much better," observed C. Wright Mills in an essay on intellectual craftsmanship, "to have one account by a working student of how he is going about his work than a dozen 'codifications of procedure' by specialists who often as not have never done much work of consequence." This observation underscores the premise of this book: that there is a need for students to communicate the procedures and strategies of field research they have found consequential in their own studies to the less instructed or less experienced. The contributors to this book are well known researchers and share their field-developed techniques of research craftsmanship. The pathways to data they describe wind in a common direction, toward a concern with research happenings in situations: in agencies, associations, institutions, campaigns, demonstrations, and goal-directed social movements. The selections included in "Pathways to Data" are neither biographies of research projects nor subjective evaluations of personal experiences. Rather, the writers emphasize techniques, operations, and know-how. "Pathways to Data's" chapters are collateral cousins to the collection of research biographies found in "Sociologists at Work", another classic in the field. But the lineage, or progression of thought, traces back to the Webbs' Methods of Social Study, and is most closely related to the Glaser and Strauss volume, "The Discovery of Grounded Theory". The contributors to this book reflect a common concern with organization in the "down home" sense of social bonds opening and closing, of self-involvement, and most importantly social structure. Process is stressed above system, becoming over being. Seen programatically, field methods deliver data to concepts, and techniques are grounded in the heuristic value such data display. Theory is grounded in concepts validated by the effectiveness with which they give meaning to the data. The production of social knowledge is symmetrical, reciprocal, but analyti"--Provided by publisher

"Major changes have occurred in the workplace during the last several decades that have transformed the nature of work, and our preparation for work. In recent years, we have seen the globalization of thousands of companies and most industries, organizational downsizing and restructuring, greater use of information technology at work, changes in work contracts, and the growth of various alternative education and work strategies and schedules"--

This book aims to identify promising future developmental opportunities and applications for Tech Mining. Specifically, the enclosed contributions will pursue three converging themes: The increasing availability of electronic text data resources relating to Science, Technology and Innovation (ST&I). The multiple methods that are able to treat this data effectively and incorporate means to tap into human expertise and interests. Translating those analyses to provide useful intelligence on likely future developments of particular emerging S&T targets. Tech Mining can be defined as text analyses of ST&I information resources to generate Competitive Technical Intelligence (CTI). It combines bibliometrics and advanced text analytic, drawing on specialized knowledge pertaining to ST&I. Tech Mining may also be viewed as a special form of “Big Data” analytics because it searches on a target emerging technology (or key organization) of interest in global databases. One then downloads, typically, thousands of field-structured text records (usually abstracts), and analyses those for useful CTI. Forecasting Innovation Pathways (FIP) is a methodology drawing on Tech Mining plus additional steps to elicit stakeholder and expert knowledge to link recent ST&I activity to likely future development. A decade ago, we demeaned Management of Technology (MOT) as somewhat self-satisfied and ignorant. Most technology managers relied overwhelmingly on casual human judgment, largely oblivious of the potential of empirical analyses to inform R&D management and science policy. CTI, Tech Mining, and FIP are changing that. The accumulation of Tech Mining research over the past decade offers a rich resource of means to get at emerging technology developments and organizational networks to date. Efforts to bridge from those recent histories of development to project likely FIP, however, prove considerably harder. One focus of this volume is to extend the repertoire of information resources; that will enrich FIP. Featuring cases of novel approaches and applications of Tech Mining and FIP, this volume will present frontier advances in ST&I text analytics that will be of interest to students, researchers, practitioners, scholars and policy makers in the fields of R&D planning, technology management, science policy and innovation strategy.

"GRASPED Pathways to Entrepreneurial Mastery" unfolds as an insightful guide to mastering the dual realms of business and personal growth. With 20 essential strategies, it covers innovation, leadership, digital transformation, and personal well-being. The book is structured to offer practical advice, real-world examples, and actionable steps for entrepreneurs aiming for success in both their professional and personal lives. What sets this guide apart is its holistic approach, seamlessly blending business acumen with personal development. It's unique in offering a dual path to mastery, emphasizing the synergy between personal well-being and entrepreneurial success, thus equipping readers for the challenges of a rapidly evolving business landscape while also fostering personal integrity and growth. Embark on a transformative journey with "GRASPED Pathways to Entrepreneurial Mastery." This book is a beacon for ambitious individuals, guiding them through the complexities of entrepreneurship while also nurturing personal growth. It's designed not just as a business guide but as a comprehensive roadmap to achieving a harmonious balance between professional achievements and personal fulfillment.

This book introduces drug researchers to the novel computational approaches of pathway analysis and explains the existing applications that can save time and money in the drug discovery process. It covers traditional computational methods and software for pathway analysis microarray, proteomics, and metabolomics. It explains pathway reconstruction of diseases and toxic states, pathway analysis in various phases, dynamic modeling of drug responses, and more. This is a core resource for drug discovery and pharmaceutical industry researchers, chemists, and biologists and for professionals in related fields.

With increasingly interconnected educational and employment ecosystems, credential innovations are trailblazing multiple pathways to professions at a pivotal moment of rapid change. In the current state of credential proliferation, the quest for simultaneous improvement of quality and value reflects heightened cross-sector interests, while at the same time the quest for concurrent enhancement of access and success remains. With the evolving educational models, technologies, and organizations, credential innovations will continue to serve as powerful catalysts in realizing the great promise for inclusive pathways to professions. The Handbook of Research on Credential Innovations for Inclusive Pathways to Professions surveys the state of credential innovations, examines trends and issues, and explores models and strategies with case studies across sectors and disciplines. The 21 chapters are organized in three sections. Section I, Credential Innovations Amid Evolving Ecosystems, features a powerful array of change theories-in-action with topics ranging from conceptual re-visioning to organizational restructuring and programmatic reengineering within evolving ecosystems. Section II, Credential Innovations and Propositions Across Sectors, spotlights diverse approaches to and propositions of credentials within complex socio-economic landscapes across education, business, and technology industries. Section III, Credential Innovation Models and Strategies, showcases institutional innovations ranging from model developments, pedagogical approaches, and personalized engagements to outcome measurements and strategies for sustainable implementation. Lessons learned and implications are explored to share promising practices, inform current development, and influence future policies toward inclusive excellence in education and the workplace.

This book is open access under a CC BY 4.0 license. This book brings together contributions by researchers, scholars, policy-makers, practitioners, professionals and citizens who have an interest in or experience of Indigenous pathways and transitions into higher education. University is not for everyone, but a university should be for everyone. To a certain extent, the choice not to participate in higher education should be respected given that there are other avenues and reasons to participate in education and employment that are culturally, socially and/or economically important for society. Those who choose to pursue higher education should do so knowing that there are multiple pathways into higher education and, once there, appropriate support is provided for a successful transition. The book outlines the issues of social inclusion and equity in higher education, and the contributions draw on real-world experiences to reflect the different approaches and strategies currently being adopted. Focusing on research, program design, program evaluation, policy initiatives and experiential narrative accounts, the book critically discusses issues concerning widening participation.

Topic Editors Terry Hinds and David Stec have submitted patents related to bilirubin and obesity related disorders. The other Topic Editor declare no potential conflicts of interest with regards to the Research Topic subject.

Gene expression is the most fundamental level at which genotype gives rise to phenotype, which is an obvious, observable, and measurable trait. Phenotype is dependent on genetic makeup of the organism and influenced by environmental conditions. This book explores the significance, mechanism, function, characteristic, determination, and application of gene expression and phenotypic traits.