text-only page produced automatically by LIFT Text
Transcoder Skip all navigation and go to page contentSkip top navigation and go to directorate navigationSkip top navigation and go to page navigation
National Science Foundation HomeNational Science Foundation - Directorate for Social, Behavioral & Economic Sciences (SBE)
Social, Behavioral & Economic Sciences
design element
SBE Home
About SBE
Funding Opportunities
Advisory Committee
Career Opportunities
See Additional SBE Resources
View SBE Staff
SBE Organizations
SBE Office of Multidisciplinary Activities (SMA )
National Center for Science and Engineering Statistics (NCSE)
Division of Behavioral and Cognitive Sciences (BCS )
Division of Social and Economic Sciences (SES )
Proposals and Awards
Proposal and Award Policies and Procedures Guide
Proposal Preparation and Submission
bullet Grant Proposal Guide
  bullet Grants.gov Application Guide
Award and Administration
bullet Award and Administration Guide
Award Conditions
Merit Review
NSF Outreach
Policy Office Website
Additional SBE Resources
Advisory Committee Meetings
Career Opportunities
Funding Rates
Budget Excerpt
NSB Broader Impacts Website
Research on Cognition and Behavior
Research on Human Behavior in Time and Space
Research on Cooperation and Conflict
Exploring What Makes Us Human
Bringing People Into Focus: How Social, Behavioral & Economic Research Addresses National Challenges
Rebuilding the Mosaic Report
SBE Advisory Committee Web Site (for members only)

SBE 2020: Submission Detail

ID Number: 216
Title: Analyzing human systems across time, space, language, and culture
Lead Author: Crane, Gregory R
Abstract: Due to the rise of very large, heterogeneous collections, increasingly sophisticated multilingual services, and expanding high performance computing infrastructure, we are now in a position to begin studying 4000 years of linguistic data from around the world, tracing change within languages, the interaction of languages, the evolution and circulation of ideas, and the patterns of human society. Language has been an impenetrable barrier  we can reach any point on the globe in a matter of hours but the amount of time required to master a new language remains unchanged. We can, however, now begin to work with far more languages than we could ever study, much less master. We are now in a position to pursue broader questions and to pursue these with greater rigor than would have been possible in print. A great deal of work remains to be done, however, for very large collections are not scientific corpora and need extensive processing, and many written sources do not yet lend themselves to optical character recognition. Simply scaling up existing systems to analyze millions of books poses software engineering challenges. Perhaps most important of all, we need to train a new generation of researchers who can bridge the intellectual gaps between the relevant computational methods and new research for social, behavioral and economic sciences.
PDF: Crane_Gregory_216.pdf

SBE 2020 Home


Print this page
Back to Top of page