In October 2018, NSF implemented the Domain-based Message Authentication, Reporting & Conformance (DMARC) email changes required by the Department of Homeland Security (DHS) to improve email security. Some email routing practices (such as auto-forwarding to personal email accounts and sending messages through third-party providers) may cause messages to be flagged as potentially fraudulent by DMARC security checks and blocked. If your email is auto-forwarded to another account, such as a personal email account, you may not receive emails from NSF in that forwarded account. More information about DMARC and email delivery from NSF.
Resource Implementations for Data Intensive Research in the Social, Behavioral and Economic Sciences (RIDIR)
|John E. Yellen (SBE/BCS)||email@example.com||(703) 292-8759|
|William Badecker (SBE/BCS)||firstname.lastname@example.org||(703) 292-5069|
|Sara Kiesler (SBE/SES)||email@example.com||(703) 292-8643|
|Joseph Whitmeyer (SBE/SES)||firstname.lastname@example.org||703-292-7808|
General inquiries regarding this program should be made to email@example.com.
Important Information for Proposers
A revised version of the NSF Proposal & Award Policies & Procedures Guide (PAPPG) (NSF 19-1), is effective for proposals submitted, or due, on or after February 25, 2019. Please be advised that, depending on the specified due date, the guidelines contained in NSF 19-1 may apply to proposals submitted in response to this funding opportunity.
As part of NSF’s Harnessing the Data Revolution (HDR), the Directorate for Social, Behavioral and Economic Sciences (SBE) seeks to develop user-friendly large-scale next-generation data resources and relevant analytic techniques to advance fundamental research in SBE areas of study. Successful proposals will, within the financial resources provided by the award, construct such databases and/or relevant analytic techniques and produce a finished product that will enable new types of data-intensive research. The databases or techniques should have significant impacts, either across multiple fields or within broad disciplinary areas, by enabling new types of data-intensive research in the SBE sciences.