NASA is preparing to do something historically unusual: compete the management contract for the Jet Propulsion Laboratory.
Caltech has managed JPL since the lab’s early rocket-research days in the 1930s, and NASA says previous management-and-operations contracts have been awarded sole-source to the university since the facility moved from the U.S. Army to NASA in 1958. The current contract began in 2018, runs through 30 September 2028, and has a potential maximum value of $30 billion if all options are exercised.
NASA’s stated rationale is competition and efficiency. The agency argues that the growth of the U.S. space economy may now support a viable competitive market for parts of JPL’s federally funded research and development centre operations. It says the process will test whether alternative management approaches could improve mission performance, innovation, cost control and operational efficiency.
This is not a routine procurement footnote. JPL is central to planetary science, Earth science, deep-space navigation and robotic exploration. Its fingerprints are on missions from Voyager and Mars rovers to Europa Clipper and countless instruments. Any change in management model will be watched closely by scientists, engineers and mission planners who value both JPL’s culture and its delivery record.
NASA says it is committed to continuity for active and future missions during the procurement process, and to keeping the laboratory at its existing physical location. That lowers the temperature, but it does not remove the governance question: how much of JPL’s distinctive capability is institutional, how much is contractual, and how much can be improved without breaking what works?
## Serendipity slots
### Image of the Day Title: "Hubble turns a galaxy cluster into a lens" Image URL: https://assets.science.nasa.gov/content/dam/science/missions/hubble/galaxies/clusters/Hubble_MACSJ1141.6-1905_1reg_flat_FINAL.tif/jcr:content/renditions/cq5dam.web.1280.1280.jpeg Source URL: https://science.nasa.gov/missions/hubble/hubble-captures-galaxy-cluster/ Credit: NASA, ESA, H. Ebeling (University of Hawaii); image processing: G. Kober (NASA/Catholic University of America) Caption: Hubble’s view of MACS J1141.6-1905 is a useful kind of pretty: the central cluster is also a natural telescope. Its mass bends light from more distant galaxies, a gravitational-lensing effect astronomers use to study objects otherwise too faint or remote to see well. The visible spikes belong to nearer foreground stars and come from diffraction around Hubble’s mirror supports; the crowded centre is the cluster, roughly four billion light-years away in Crater. NASA notes that the image combines visible and infrared Hubble observations from programmes studying bright X-ray clusters and their lensed background galaxies. It is also an archive story: Hubble now holds more than 1.7 million observations, and new tools keep making old photons scientifically useful. Published 2026-05-22, about 68 hours old.
### On This Day Year: 2008 Title: "Phoenix landed in the Martian arctic" Source URL: https://science.nasa.gov/mission/phoenix/ Body: On May 25, 2008, NASA’s Phoenix lander touched down in Green Valley, in Vastitas Borealis, after entering the Martian atmosphere at nearly 13,000 mph. It was the first successful stationary soft-lander on Mars since Viking 2, and Mars Reconnaissance Orbiter’s HiRISE camera caught Phoenix descending under parachute — the first time one spacecraft photographed another during a planetary landing. Phoenix was built to study the Martian arctic: water ice, soil chemistry and whether the environment could preserve clues relevant to habitability. Its robotic arm delivered samples to tiny ovens and wet-chemistry instruments. The mission ended later that year as polar winter cut power, but it helped make Mars’s subsurface ice feel less theoretical and more like a material future missions would have to understand.
### Paper of the Day arXiv ID: 2605.23700v1 Title: "New substellar candidates identified through deep learning in the F150 sample of the large-scale SHINE direct imaging survey" Authors: Carles Cantero Mitjans, Mariam Sabalbal, Olivier Absil, Marc Van Droogenbroeck, Damien Ségransan et al. Source URL: https://arxiv.org/abs/2605.23700 Plain-English abstract: Direct imaging searches for exoplanets and brown dwarfs produce difficult data: the object of interest is faint, close to a bright star, and easily confused with residual optical artefacts. This paper revisits part of the SPHERE High-contrast Imaging survey for Exoplanets using modern deep-learning methods rather than only classical analysis. The aim is to see whether data-driven reprocessing can flag substellar candidates that were missed or left ambiguous in earlier reductions. The result is not “AI finds aliens”; it is a practical example of archival leverage. Expensive telescope campaigns may contain more science than the first pipeline extracted, especially as models for image subtraction, candidate ranking and false-positive control improve. Submitted 2026-05-22, about 65 hours old. Caveat: candidate detections require follow-up confirmation.