Welcome to another deep-dive lesson plan, everyone! I’m Jason Jackson, and today we’re breaking down how the recent executive orders affect data science initiatives through the National Science Foundation. I know many of you are navigating these waters right now, and I’ve structured this lesson to give you the clearest path forward.
Proposal – Understanding the Current NSF Landscape
The NSF continues to be operational with some crucial adjustments we need to be aware of. Their proposal review process has resumed after initial disruptions, but understanding the specifics can save you significant headaches and potentially increase your funding success rate.
My approach here is to tackle this topic like I do with all complex systems – by breaking it into manageable parts that connect logically. There’s a perfect sequence to understanding this material, and I’m confident I’ve organized it optimally.
Proposal – Key Information for Data Science Researchers
For Reviewers and Panelists – Proposal
If you serve as a reviewer or panelist for NSF’s data science initiatives:
– Review panels are now actively proceeding
– Previously postponed panels have been rescheduled (virtual or in-person)
– Direct logistical questions to your meeting coordinator
– Merit review criteria remain consistent (despite rumors suggesting otherwise)
One thing I’ve noticed working with review panels is that maintaining clear communication with coordinators is essential. Their perspective gives you insights that aren’t always documented in the official communications.
For Data Science Proposal Submissions
The submission process has stabilized with these important points:
– Proposal processing and review activities have resumed
– Updated funding opportunities are listed on the NSF Funding Search page
– Program officers remain your primary contact
– Research.gov continues to be the submission platform
From my experience teaching hundreds of students about research funding, I can tell you the most common mistake is overlooking program-specific guidelines. The general rules matter, but program-specific details often determine success.
Managing Current NSF Data Science Awards – Proposal
For those already managing NSF-funded data science projects:
– Award Cash Management Service has been restored
– Payment requests are now being processed
– Questions about award status should go to the Division of Grants and Agreements
– Technical assistance with ACM is available through Division of Financial Management representatives
Practical Application Tips for Data Scientists
When developing proposals in the current climate:
1. Avoid unnecessary keywords – While the NSF hasn’t published a list of “forbidden” terms, clarity and precision in language will help reviewers focus on your science
2. Review your budgets carefully – The executive orders emphasize cost efficiency, so justify expenditures thoroughly
3. Consider travel limitations – Research conferences, fieldwork, and outreach may have new constraints
4. Accessibility planning – Continue incorporating accessibility requirements for in-person events
Frequently Asked Questions I’ve Encountered
From my data science colleagues across institutions:
“Can I revise an already submitted proposal?”
– Generally yes, but contact your program officer for specific guidance
“How will executive orders affect proposal due dates?”
– Due dates are being updated on a rolling basis; check the NSF website regularly
“Will my CAREER/GRFP/REU proposal still be considered?”
– Yes, specialized programs continue, though with possible timeline adjustments
Remember, the NSF publication guidelines haven’t fundamentally changed, but the implementation details have shifted. By staying informed and methodically approaching your submissions, your data science work can continue to receive the support it deserves.
For next steps, I recommend bookmarking the NSF updates page and scheduling a weekly check-in to monitor changes that might affect your specific research area. This systematic approach will serve you well through the current transition.
