Cultural Challenges in Data Science

Cultural Challenges in Data Science

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

Learning with Intention

Learning with Intention

MITRE is, and always has been, a learning company. It’s a point of pride among staff to be immersed in training, a new degree, a new book, a new talk. The key to making it all stick, however, is intent and practice. Whether you agree with the 10,000 hours concept or...
Eureka Café

Eureka Café

In this post, Howard Gershen describes how he managed Samuel Johnson’s feat of making “new things familiar, and familiar things new” for colleagues with discriminating palates. Best part of his approach is that you can try it right away, adjusting, of course, to the...
Read This – Then Stand Up and Take a Walk!

Read This – Then Stand Up and Take a Walk!

As MITRE’s Health and Wellness Program Manager, Susan Skelly knows what makes MITRE staff tick—literally. Susan’s account highlights her team’s approach to sharing health-related knowledge with staff immersed in their work. How does your company keep your staff...
The Daily Standup

The Daily Standup

In Liz Hayes’s post about routine check-ins, seemingly simple collaboration processes and trust enable hard-working, distributed teams to succeed. —Editor Author: Liz HayesI joined a new project last summer, a Global Information System (GIS) effort run by Keith W....

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