Hi @dianaescoda, The book Megan mentioned is The Loudest Duck: Moving Beyond Diversity while Embracing Differences to Achieve Success at Work by Laura Liswood. (Just search The Loudest Duck and you can find it. And Megan said she was headed up to the United Nations this week for "Solutions Summit:A Catalytic Gathering at United Nations Headquarters During UN General Assembly Week." If you go to Solutions-Summit.org you can find it. Thanks for listening to the show!
For those of you listening to the on-demand recording of today's All Analytics Radio Show, our guest was Megan Smith, former CTO for the US and an accomplished Silicon Valley entrepreneur. She addressed topics such as innovation through IT, the modernization of IT in government, the value of and strategies for diversity in the tech field, and innovative approaches to science and math education.
Diana. Jessica may have the name of the book and event. She's in a meeting now, but I'll ask her to add a comment here later. (It might be tonight, because I know she has a bunch of meetings scheduled at Analytics Experience.
YET ANOTHER Q: Going back to your tenure as CTO, is there an example (beyond what you discussed already) you can think of where you were able to learn a great deal of insight from the data efforts of another country?
It would seem that the government's job -- regardless of which political party or poltiical figure is in charge -- shouldn't be convincing people to get behind a policy they're not already prone to get behind absent a gross misunderstanding or lack of education on the data.
I mean, if the main challenge is "creating confidence," and that's not being done with pure, unbiased, uninflected data, then maybe the confidence is correctly and appropriately withheld. #devilsadvocate
ANOTHER Q FOR MEGAN: When it comes to these analytics and "real-world applications" in the educational context, what if your data tell you that X is the best way to teach these for 98% of students -- but the very WORST way for 1% of the students? Do you just take the "neutral-good" approach and go with helping those 98% most effectively at the expense of the learning of the 1-2%? Or how can you balance different methodologies?
@James: I actually *excelled* at precalculus/trigonometry, and was the only one to get a 100 on the final. But I sure don't remember much of a lick of it today.
Relatedly, geometry was widely known as THE easiest non-elective course -- even at the Honors level -- at my high school. It wasn't because of a didn't-care teacher who was an easy grader. It was because the teacher mdae the material so accessible.
@James: This is something that has been lamented by the Pentagon especially -- particularly former DARPA head Arati Prabhakar -- in Congressional testimony and elsewhere. They have *some* discretionary money to help compete, but they've been angling for more so they can pay competitive compensation packages for the best talent.
Governments being able to hire CIOs presents a set of challenges. They have to compete with private sector for people to do the same job they would in that private sector. Plus, those CIOs may have only four years to start and complete major projects.
AND YET ANOTHER: Re: Census data (and even other forms of gov't data). How does the Census Bureau/Dept. of Commerce/Office of the CTO/etc. account for the strong possibility of "unclean" data -- even with quality-control double-checks? (e.g., in the Census context: improperly filled out enumerator questionnaires, possibility of poor enumerator/supervisor training, assumed instead of confirmed (if not downright fraudulent) data entered by enumerators and their supervisors, people lying/fudging on their responses to census questions, etc.)
ANOTHER Q: What has been the federal gov't's role/take on open source and open standards? What agencies/types of agencies are more keen on openness and which tend to prefer to stay away from this trend and stick to proprietary solutions?
ONE QUESTION FOR MEGAN: Do you think it's substantially easier for startups and/or orgs in developing nations to achieve these digital-transformation goals because they have far less legacy entanglement? What trends are you seeing here?
How do you transform and prepare a big organization to be ready for opportunity and success? Many companies are facing that challenge right now as they prepare to compete in a new era of analytics-driven business. And who knows better about a job like that than the CTO of the US. Megan Smith is the third Chief Technology Officer (CTO) of the US, and left the role this year. She will join a special edition of AllAnalytics Radio on Monday, September 18, to talk her experience transforming a large organization and more.
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