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Just as importantly, this unique guide provides R&D managers with clear guidelines on how to effectively tailor the various selection methods discussed to meet the demands of their organizations' unique situations and goals.
Today’s leading organizations recognize the importance of research and development (R&D) to maintain and grow market share. If companies want to survive into the future, they must accelerate their R&D-to-market cycles or find themselves behind the competition. Project Management for Research and Development: Guiding Innovation for Positive R&D Outcomes explains how to apply proven project management methods to obtain positive outcomes in R&D and innovation projects. It addresses the specific factors companies must consider when using project management to scope, define, and manage R&D projects. It also offers best practices and case studies that illustrate actual applications of theory. This book details methods to help readers optimize results in R&D through the use of structured processes derived from the project management field and other complementary disciplines. Each chapter includes diagrams, surveys, checklists, and question-answer forms to guide readers in determining where their activity falls along a project spectrum and to help them structure their own R&D project. The methods presented in this book can easily be applied to innovation projects and creative endeavors. As there are limited sources of information on how to utilize project management methodology effectively in these types of projects, this book is an ideal resource for anyone looking to add structure and proven methods to enable R&D, innovation, and other creative activities.
Part of the well-known Staff and Educational Development Series, this practice oriented book brings together leading research and evaluation approaches and supporting case studies from leading educational researchers and innovative teachers. With much emphasis on change, innovation and developing best practice in higher education, it is essential that those involved in actually developing, researching or implementing approaches to teaching, learning or management, are informed by the experiences of others. The emphasis of this book is on changing practice in HE; how developments come about; what research underpins desirable development; and the impact of development of student learning, staff expertise and institutional practice and policy. Specifically, the book is developed in two themed parts: Part A, Supporting change within subjects and departments. Part B, Supporting change within institutions and the wider environment.
Development Research in Practice leads the reader through a complete empirical research project, providing links to continuously updated resources on the DIME Wiki as well as illustrative examples from the Demand for Safe Spaces study. The handbook is intended to train users of development data how to handle data effectively, efficiently, and ethically. “In the DIME Analytics Data Handbook, the DIME team has produced an extraordinary public good: a detailed, comprehensive, yet easy-to-read manual for how to manage a data-oriented research project from beginning to end. It offers everything from big-picture guidance on the determinants of high-quality empirical research, to specific practical guidance on how to implement specific workflows—and includes computer code! I think it will prove durably useful to a broad range of researchers in international development and beyond, and I learned new practices that I plan on adopting in my own research group.†? —Marshall Burke, Associate Professor, Department of Earth System Science, and Deputy Director, Center on Food Security and the Environment, Stanford University “Data are the essential ingredient in any research or evaluation project, yet there has been too little attention to standardized practices to ensure high-quality data collection, handling, documentation, and exchange. Development Research in Practice: The DIME Analytics Data Handbook seeks to fill that gap with practical guidance and tools, grounded in ethics and efficiency, for data management at every stage in a research project. This excellent resource sets a new standard for the field and is an essential reference for all empirical researchers.†? —Ruth E. Levine, PhD, CEO, IDinsight “Development Research in Practice: The DIME Analytics Data Handbook is an important resource and a must-read for all development economists, empirical social scientists, and public policy analysts. Based on decades of pioneering work at the World Bank on data collection, measurement, and analysis, the handbook provides valuable tools to allow research teams to more efficiently and transparently manage their work flows—yielding more credible analytical conclusions as a result.†? —Edward Miguel, Oxfam Professor in Environmental and Resource Economics and Faculty Director of the Center for Effective Global Action, University of California, Berkeley “The DIME Analytics Data Handbook is a must-read for any data-driven researcher looking to create credible research outcomes and policy advice. By meticulously describing detailed steps, from project planning via ethical and responsible code and data practices to the publication of research papers and associated replication packages, the DIME handbook makes the complexities of transparent and credible research easier.†? —Lars Vilhuber, Data Editor, American Economic Association, and Executive Director, Labor Dynamics Institute, Cornell University
Designed to provide a comprehensive, step-by-step approach to organic process research and development in the pharmaceutical, fine chemical, and agricultural chemical industries, this book describes the steps taken, following synthesis and evaluation, to bring key compounds to market in a cost-effective manner. It describes hands-on, step-by-step, approaches to solving process development problems, including route, reagent, and solvent selection; optimising catalytic reactions; chiral syntheses; and "green chemistry." Second Edition highlights:• Reflects the current thinking in chemical process R&D for small molecules• Retains similar structure and orientation to the first edition. • Contains approx. 85% new material• Primarily new examples (work-up and prospective considerations for pilot plant and manufacturing scale-up)• Some new/expanded topics (e.g. green chemistry, genotoxins, enzymatic processes)• Replaces the first edition, although the first edition contains useful older examples that readers may refer to Provides insights into generating rugged, practical, cost-effective processes for the chemical preparation of "small molecules" Breaks down process optimization into route, reagent and solvent selection, development of reaction conditions, workup, crystallizations and more Presents guidelines for implementing and troubleshooting processes
For all of the tremendous advances in medicine and treatment the world has seen in the modern era, the human body’s ability to heal itself remains a (literally) vital and often overlooked facet of healthcare. Through the use of emotional design, aimed at transforming healthcare environments, such as waiting rooms, in such a way as to boost the emotional wellbeing of patients, and thus their general attitudes, including in regard to their own healing processes, medical institutions can improve outcomes for the people they treat while simultaneously lowering overall costs. Design, as an inherently transdisciplinary, problem-solving activity, is well-suited to this task. And when combined with a field of study such as neuroscience, which can literally map out the perceptions that lead to the experience of particular emotions, healthcare environments can be transformed into spaces (through such innovations as Kansei engineering) that then subsequently transform the people who rely on them the most, leading to more efficiency and less red ink.