Skip to main content

Currently Skimming:

1 Introduction
Pages 19-26

The Chapter Skim interface presents what we've algorithmically identified as the most significant single chunk of text within every page in the chapter.
Select key terms on the right to highlight them within pages of the chapter.


From page 19...
... While computers and automation technologies have played a central role in research workflows for decades to acquire, process, and analyze data, these same computing and automation technologies can now also control the acquisition of data, for example, through the design of new experiments or decision making about new observations. The committee uses the term automated research workflows to describe scientific research processes that are emerging across a variety of disciplines and fields.
From page 20...
... techniques play an increasingly important role in ARWs, from uses in data exploration and analysis to the driving and directing of the larger research process as a closed-loop system where AI and ML analyses of results direct the next cycle of experimental design and planning. The committee believes that ARWs constitute the next significant advance in the ongoing revolution in scientific research driven by advances in information technology and associated hardware infrastructure.
From page 21...
... Although open and FAIR research outputs are not a prerequisite to the use of ARWs, they are highly desirable and complementary. WORK OF THE COMMITTEE In 2019, the National Academies of Sciences, Engineering, and Medicine's Board on Research Data and Information, in collaboration with the Board on Mathematical Sciences and Analytics and the Computer Science and Telecommunications Board, launched a study aimed at examining current efforts to develop advanced and automated workflows to accelerate research progress, including wider use of artificial intelligence (see Box 1-1 for the committee's statement of task)
From page 22...
... BOX 1-1 Committee Statement of Task An ad hoc committee of the National Academies of Sciences, Engineering, and Medicine will conduct a study that examines current efforts to develop advanced and automated workflows for scientific research. The study will also identify promising research approaches to accelerating progress in the effectiveness and utilization of workflow systems and tools.
From page 23...
... ● What are the barriers to implementing ARWs and how do they operate in different disciplines? These barriers include inadequate workflow literacy, resistance to adoption of scientific automation, insufficient appreciation of dangers of p-hacking, selection bias and model overfitting, and concerns about privacy protections of data and procedures (especially for cloud-based workflow systems)
From page 24...
... ● What technical and operational issues arise in implementing ARWs? ● What are the current regulatory enablers and barriers affecting the adoption of ARWs in various fields and disciplines?
From page 25...
... Chapter 5's consideration of the barriers and opportunities across fields, to which the committee offers its recommendations. Chapter 6 presents the committee's findings and recommendations and offers concluding thoughts and potential next steps for researchers and institutions in both the public and private sectors, funders, and policy makers.


This material may be derived from roughly machine-read images, and so is provided only to facilitate research.
More information on Chapter Skim is available.