Today’s researchers have access to more information than ever before. Yet the new material is both overwhelming in quantity and variable in quality. How can scholars survive these twin problems and produce groundbreaking research using the physical and electronic resources available in the modern university research library? In Digital Paper, Andrew Abbott provides some much-needed answers to that question. Abbott tells what every senior researcher knows: that research is not a mechanical, linear process, but a thoughtful and adventurous journey through a nonlinear world. He breaks library research down into seven basic and simultaneous tasks: design, search, scanning/browsing, reading, analyzing, filing, and writing. He moves the reader through the phases of research, from confusion to organization, from vague idea to polished result. He teaches how to evaluate data and prior research; how to follow a trail to elusive treasures; how to organize a project; when to start over; when to ask for help. He shows how an understanding of scholarly values, a commitment to hard work, and the flexibility to change direction combine to enable the researcher to turn a daunting mass of found material into an effective paper or thesis. More than a mere how-to manual, Abbott’s guidebook helps teach good habits for acquiring knowledge, the foundation of knowledge worth knowing. Those looking for ten easy steps to a perfect paper may want to look elsewhere. But serious scholars, who want their work to stand the test of time, will appreciate Abbott’s unique, forthright approach and relish every page of Digital Paper.

Authoring a Ph.D. Thesis involves having creative ideas, working out how to organize them, writing up from plans, upgrading text, and finishing it speedily and to a good standard. It also involves being examined and getting work published. This book provides a huge range of ideas and suggestions to help Ph.D. candidates cope with both the intellectual issues involved and the practical difficulties of organizing their work effectively.

蚂蚁在组成群体时为何会表现出如此的精密性和具有目的性?数以亿计的神经元是如何产生出像意识这样极度复杂的事物?是什么在引导免疫系统、互联网、全球经济和人类基因组等自组织结构?这些都是复杂系统科学尝试回答的迷人而令人费解的问题的一部分。 理解复杂系统需要有全新的方法.需要超越传统的科学还原论，并重新划定学科的疆域。借助于圣塔菲研究所的工作经历和交叉学科方法，复杂系统的前沿科学家米歇尔以清晰的思路介绍了复杂系统的研究，横跨生物、技术和社会学等领域，并探寻复杂系统的普遍规律，与此同时，她还探讨了复杂性与进化、人工智能、计算、遗传、信息处理等领域的关系。