Posts

tl;dr: Before Howard County’s next county executive goes off on a high-profile “open government data” initiative, they (and we) should think more about what such a project can and can’t do, and how best to make it successful. Among their other policy proposals, both candidates for Howard County Executive have proposed new initiatives to make data about the workings of county government more available to residents. Allan Kittleman has promoted what he calls “HoCoStat,” a “platform to hold government accountable” that “will link data to long-term impacts” and “measure . . . response and process times for various government functions.” Courtney Watson’s corresponding initiative doesn’t have a catchy name, but her “open government” vision includes a promise to “leverage technology to improve and maintain government transparency, efficiency and communication” by creating “an intuitive and interactive web portal that provides public access to information in usable and searchable formats.” ...

tl;dr: Vote for Tom Coale for Maryland House of Delegates, District 9B. Before I publish my main post for today, a brief public service announcement: If you live in District 9B and haven’t yet voted, please consider giving Tom Coale your vote for Delegate. For the most part this is a nonpartisan blog, and I have a pretty strict policy of not endorsing candidates for office, even for nonpartisan positions like those on the Board of Education. The only exception I’ve ever made (and likely ever will make) is for Tom. I think he would make a great representative for the people of Ellicott City; my only regret is that I live across US 40 from District 9B and can’t vote for him. (Although if Tom wins this election and performs at the level I think he’s capable of, I think in future I and a lot of other people will in fact get our chance to elect him to something else.) ...

Frank Winter (John Benjamin Hickey) and Charlie Isaacs (Ashley Zuckerman), physicist protagonists of the WGN America television series Manhattan tl;dr: Manhattan is a quality TV show about the people racing to build an atomic bomb, and their families. It’s well worth watching, but you’ll enjoy it more if you remember you’re not tuned to the History Channel. ...

Following up from my previous post on my experience with Coursera, here are a few links of interest (mostly) relating to online education, with a focus on “competency-based education,” i.e., education directed specifically at teaching people to become competent at one or more tasks or disciplines: “Hire Education: Mastery, Modularization, and the Workforce Revolution” (Michelle Weise and Clayton Christensen). Clayton Christensen is famous for his theory of “disruptive innovation,” which I think is useful not so much as a proven theory but rather as a way to structure plausible narratives about business success or failure. When Christensen fails in his predictions it’s usually because he doesn’t pay attention to things that don’t fit neatly into his preferred narratives. For example, he and co-author Michael Horn previously hyped for-profit education companies and failed to see that for many of them actually educating students was not the point. Rather those companies identified a “head I win, tails you lose” business proposition in “chasing Title IV money [i.e., government-subsidized student loans] in a federal financial aid system ripe for gaming.” This represents a second try by Christensen and his associates to forecast the future of post-secondary education. ...

The last three months or so I’ve been in school (which is why I haven’t been posting as much lately). Not a real bricks-and-mortar school—I’ve been participating in the “Data Science Specialization” series of online courses created by faculty at the Johns Hopkins Bloomberg School of Public Health and offered by Coursera, a startup in the online education space. It’s been an interesting experience, and well worth a blog post. The obvious first question is, why I am doing this? Mainly because I thought it would be fun. I was an applied mathematics (and physics) major in college, enjoyed the courses I had in probability, statistics, stochastic processes, etc., and wanted to revisit what I had learned and (for the most part) forgotten. It’s one of my hobbies—a (bit) more active one than watching TV or reading. Also, I’ve done some minor fiddling about with statistics on the blog (for example, looking at Howard County election data), am thinking about doing some more in the future, and wanted to have a better grounding in how best to do this. Finally, “data scientist” is one of the most hyped job categories in the last few years, and even though I probably won’t have much occasion to use this stuff in my current job it certainly can’t hurt to learn new skills in anticipation of future jobs. ...