The Emerging Technologies program is now a major undertaking for MITRE. It draws upon contributions from staff at all levels of the company, including many who were not mentors or student investigators.
You may remember the childhood party game of Pin the Tail on the Donkey (or Bunny or Pig—depending on the party theme), where dizzy, blindfolded partygoers are challenged to position a paper tail closest to the correct location…
Blockchain has essentially created a new type of internet in which information can be widely distributed without relying on traditional centralized architectures…
This award-winning project enables the Federal Aviation Administration (FAA) to forecast the future aviation fleet in the United States. Previously, having to contract externally for this forecast, the FAA had minimal insight into how the forecast was produced…
The Patient Toolkit is a mobile application that helps chronically ill patients and their caregivers better manage their illness …
MITRE believes that data is the next medical innovation in health. How might connecting people and data reinvent the health experience? To find out, a team of researchers developed Home Assessments for Prompt Intervention (HAPI), a serious game that uses Microsoft Kinect-based joint tracking to detect critical changes in patients with cerebral palsy…
Applications in Data Science: Anti-Fragility in Action…
Data Science Practitioners…
There’s thinking about, talking about, and doing, and they all have a time and place in any domain. With data science, though, doers rule. A big bucket of ostensibly random stuff in the hands of a skilled practitioner becomes the stuff of art. Yup, even data about a fire hydrant.—Editor
In her previous post, Technical Challenges in Data Science, Amanda Andrei discussed the need for technical vigilance and with experts Dr. Elizabeth Hohman, statistician and group leader within MITRE’s Department of Data Analytics, and Dr. Eric Bloedorn, senior principal artificial intelligence engineer. Tools and models, however carefully managed, tell, of course, only part of the story. Data scientists are people, and they and the tools they use reside within organizational cultures, which may require as much training as the data to hand.—Editor
