
Imagining…
Where Science Meets Creative Writing
Find a story within the topics above
How can we look at fossils and understand what creatures roamed the Earth millions of years ago?
How can we predict the behavior of materials deep within planetary interiors?
How can we reverse humanity’s impact on the global climate?
How can we predict habitats for life on other planets?
Doing impactful, innovative research requires training our brain to imagine the elusive unknown, even when bounded by scientific evidence. Now, more than ever in the history of human civilization, there is a pressing need to exercise our imagination muscles. Writing scientific fiction while accounting for the real science is a powerful way to do just that—to learn what is possible, what is probable, how we can change the future, and what our responsibility is to the future generation of our species.
Most Recent Stories
-

-

Progress Without Morals
A scientist is trying to harness microbial properties to develop a fantastic tool. He believes he can; but should he?
-

For Today’s Inspiration
- NASA Shares Views of August Solar Eclipse from Ground, Air, Space
On Aug. 12, a total solar eclipse darkened skies over Greenland, Iceland, and Spain. As the Moon covered the Sun, it briefly revealed the Sun’s wispy outer atmosphere — the corona — to those in the path of totality who were lucky enough to have clear skies. NASA researchers and photographers were along the eclipse
- TB 26-04 Updates and Modernization of NASA’s Chemical Equilibrium with Applications (CEA) Code
For more information, contact Mark K. Leader, Glenn Research Center, mark.leader@nasa.gov Download the PDF version NASA’s Chemical Equilibrium with Applications (CEA) code is a foundational tool for propulsion system analysis. It provides equilibrium chemistry, rocket performance, shock, and detonation calculations used across NASA and the broader aerospace community. NASA Engineering and Safety Center (NESC) Activity
- Swift Observatory Rescue Mission Fails
NASA’s attempt to rescue the falling Swift Observatory has failed. Look back at some of Swift’s most exciting discoveries.
- It Takes Three to Model Methane Right
By combining conventional process-based and atmospheric inversion modeling with machine learning, scientists home in on a more realistic methane model.
- In This Issue
Proceedings of the National Academy of Sciences, Volume 123, Issue 33, August 2026. <br/>
- Beyond “non-significant” results: Why and how to test for practical equivalence
Proceedings of the National Academy of Sciences, Volume 123, Issue 33, August 2026. <br/>Reporting comparisons withP≥ 0.05 as showing “no effect” or “no difference” remains one of the most widespread and problematic misinterpretations in the scientific literature. A statistically nonsignificant result shows only that the data do not provide …
- Sleuth identifies dozens of studies that used the wrong antibody
Nature, Published online: 21 August 2026; doi:10.1038/d41586-026-02352-4The case is the latest example of a scientific workhorse being misused in experiments.
- Why we must stop talking about artificial general intelligence — and instead build ‘pro-worker’ AI
Nature, Published online: 21 August 2026; doi:10.1038/d41586-026-02566-6Rather than racing to replace people, we should build AI tools that amplify human expertise and expand opportunity.