Management For Scientists

Management for Scientists explores the core theories and practices in management studies today in a context applicable to those working in the scientific industries. Chapters feature a range of real-world examples presented by experienced scientists with strategic and economic business expertise.

This updated edition provides managers with a practical guide focused on the particular management needs for research and development in biotechnology and pharmaceutical industries. It offers a way to improve the quality of interactions and creativity output in R&D, with real life case studies to illustrate key points.

Why hasn't management improved the way other fields have improved? Will it ever get better? That's the topic of this book. It's aimed at inquisitive thinkers, people like scientists and engineers, who wonder not just how to get through the day as a manager, but why that day is often so hard. In this book we range from the insights about management from business professor Henry Mintzberg to the skepticism about management from physicist Richard Feynman. A rich cast of characters have tackled the task of making management better. We'll see what we can learn from their attempts. This isn't a book of management tips; there are thousands of such books. This book aims to look clearly at why it's been such a struggle to create a science of management and, having taken that look, seeking to find a path forward. Join me in the investigation since better management could one day lead to a better world.

There are chapters on networking and working with others, what to expect from the day to day working world, resumes and job hunting."--BOOK JACKET.

"Lab Dynamics is a book about the challenges to doing science and dealing with the individuals involved, including oneself. The authors, a scientist and a psychotherapist, draw on principles of group and behavioral psychology but speak to scientists in their own language about their own experiences. They offer in-depth, practical advice, real-life examples, and exercises tailored to scientific and technical workplaces on topics as diverse as conflict resolution, negotiation, dealing with supervision, working with competing peers, and making the transition from academia to industry." "This is a uniquely valuable contribution to the scientific literature, on a subject of direct importance to lab heads, postdocs, and students. It is also required reading for senior staff concerned about improving efficiency and effectiveness in academic and industrial research."--BOOK JACKET

Although there are many books on project management, few address the issues associated with scientific research. This work is based on extensive scientific research and management experiences and is designed to provide an introduction to planning and managing scientific research for the beginning researcher. The aim is to build an understanding of the nature of scientific research, and the way in which research projects can be developed, planned and managed to a successful outcome. The book is designed to help the transition from being a member of a research team to developing a project and making them work, and to provide a framework for future work. The emphasis of the book is on broadly applicable principles that can be of value irrespective of discipline. It should be of value to researchers in the later stages of Ph.D. work and Postdoctoral workers, and also for independent researchers.

Addressing the specific needs of engineers, scientists, and technicians, this reference introduces engineering students to the basics of marketing, human resource management, employment relations, personnel management, and financial management. This guide will help engineering students develop a sense for business and prepare them for the commercial and administrative dealings with customers, suppliers, contractors, accountants, and managers.

The 'data revolution' offers many new opportunities for research in the social sciences. Increasingly, social and political interactions can be recorded digitally, leading to vast amounts of new data available for research. This poses new challenges for organizing and processing research data. This comprehensive introduction covers the entire range of data management techniques, from flat files to database management systems. It demonstrates how established techniques and technologies from computer science can be applied in social science projects, drawing on a wide range of different applied examples. This book covers simple tools such as spreadsheets and file-based data storage and processing, as well as more powerful data management software like relational databases. It goes on to address advanced topics such as spatial data, text as data, and network data. This book is one of the first to discuss questions of practical data management specifically for social science projects. This title is also available as Open Access on Cambridge Core.