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Do You Know What Your Reviewers Want?

Do You Know What Your Reviewers Want?

Increase your chances for NIH, NSF or other funding: connecting your proposal with the community’s problem At this point in your research career, chances are you know what it feels…

Reignite the Dream: How We Can Overcome Hubris and Make Science Matter Again

Reignite the Dream: How We Can Overcome Hubris and Make Science Matter Again

On Wednesday November 6, many of us awoke to a changed world. The US election had just been called. And whatever side of the political divide you fall on, it…

Reason is the Party that Lost...

Reason is the Party that Lost...

… and why that shouldn’t be a surprise to any of us. I am writing this before checking in on the results of the 2024 US presidential election, and one…

Compelling, Easy to Understand, Easy to Distribute

Compelling, Easy to Understand, Easy to Distribute

The aftermath of this election cycle* brings with it the same questions that always happen at the end of an election cycle. “Was the U.S. not ready for a president…

New NIH Review Framework: A Step Forward or a Misstep?

New NIH Review Framework: A Step Forward or a Misstep?

If you’re part of the academic research community, you may be aware of the NIH’s latest shake-up in its review framework for grant applications. In a nutshell, the new framework…

How to Lead a Research Lab: What whitewater rivers taught me about one key shift into leadership

How to Lead a Research Lab: What whitewater rivers taught me about one key shift into leadership

Are you struggling with unproductive or unmotivated employees or mentees in your lab that cause more headaches than positive momentum? If so, how’s that leadership thing going….? Dr. Morgan Giddings…

Grant Strategies that Work... 

Based on a real success story, learn:

How to turn long-shot proposals into real opportunities by focusing on a clear Big Idea.
What reviewers really want to see and how to avoid getting stuck in endless revisions.
How to approach proposals effectively, even without a lot of preliminary data.

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