Big data and Artificial Intelligence (AI) has greatly changed the ways how research is conducted today, and even more in the future. This book series aims to cover new research paradigms and new research methods as impacted by big data and AI. Specifically, the books in this series will focus on emerging new research methods in facing the below new developments:
 Realty is becoming the data
 Many research components get automated or will get automated soon
 Almost no limit exists for data storage as well as for computing speed
大数据和人工智能已经极大地改变了当今人们从事研究的方法，并将在未来更加完全改变研究方法。本丛书将描述因大数据和人工智能而改变的新研究方法和新研究范式，并侧重于以下发展所引起的新型研究方法：
~ 现实就是数据
~ 许多研究工作已经、或即将被自动化
~ 数据储藏和计算速度几乎无上限

This book series is an official publication of the Global Association for Research Methods and Data Science (RMDS) at www.ResearchMethods.org . With this book series, the editors and authors hope to help shaping new research methods as aided with big data and augmented by AI. With the new books in this series, the editors and authors also hope to contribute to the education of new generations of researchers and analysts, who will interact with big data as well as intelligent machines as part of their daily research practice.
本丛书是研究方法和数据科学全球协会的正式出版物。通过此丛书的出版，围绕大数据和人工智能协助的新型方法，编者和作者们希望更进一步推动新型研究方法的发展，也希望运用此丛书来帮助教育每天都将与大数据和人工智能打交道的新一代研究人员，

Topics of Interest:
Any new research paradigms or methods in RM4Es framework of describing research components and research workflows, with the following
 Equation (models)-New mathematical or logical representations of reality in forms of models or equations
 Estimation-New computing algorithms or procedures
 Evaluation-New methods of evaluating models or equations
 Explanation/Execution-New ways of interpreting research results or implementing analytics is preferred
注重的课题：
我们欢迎任何用 RM4E 来描述研究部件和研究流程的新型研究方法和研究范式，包括以下的 4E：
~ Equation 以模型或方程来描述现实新型数学或逻辑表达
~ Estimation 新型的算法或计算程序
~ Evaluation 模型的新型评估方法
~ Explanation/Execution 解析研究结果的新型方法或者实现分析结果的新型方式

**We especially welcome books adopting this 4Es framework, but also welcome books utilizing any other frameworks. 我们特别欢迎应用 RM4E 表述的方法，但也欢迎其他框架表述的新型方法。

Potential Readers:
 Researchers in academic fields
 Data scientists
 Analysts in practical application fields
读者群：
~ 学术机构的研究人员
~ 数据科学家
~ 应用领域的分析人员

The books could be used as textbooks in research methods courses and in analytical training. The main rationale of the series is not to be limited a specific disciplinary field. The added value of the books in this book series is that of aiding and guiding researchers and analysts to complete good analytical projects beyond disciplinary boundaries, in the era of big data and AI.
本丛书的书籍将被用于大学研究方法教材、或分析培训的教材。本丛书的设计是不局限于某个特定学科，其特别价值是可用来协助研究和分析人员在大数据和人工智能的时代做好跨学科的分析项目。

**We also welcome books addressing to the scientists, researchers and analysts in a specific academic field. 我们也会采用一些专为特定学科写作的书籍，如果与特定内容有好的结合。

Proposal:
Interested authors are invited to contribute to the series with a volume, (monograph or a collective), edited in English, of approx 350 pages.
These proposals should have an innovative look and a website containing research material (data, algorithms, results, etc.).
计划：
有兴趣的作者欢迎向丛书贡献 350 页左右篇幅、英文写作的著作或论文集，并附创新的设计和包含数据、算法、结果等材料的网站。

For further inquiries and informally discuss potential proposals, please feel free to contact the editor:
Alex Liu alex@ResearchMethods.org
若需要更多有关书籍计划的信息，欢迎联系刘博士。
 alex@ResearchMethods.org