While a government employee, as a developer and as an attorney, I had the opportunity to work in government IT, from both a technical perspective, implementing policy at various government agencies, and from a policy perspective, shaping that same policy at the White House. Here’s what’s next for federal IT policy, IMHO:
Shedding Cold-War era workflows
From the standpoint of workflow, we may as well be using a typewriter. Heck, the process would be essentially the same. An analyst fires up a desktop word processor, types out the policy, and then emails it around to increasingly larger circles of stakeholders, often creating a punch list of proposed changes (using their desktop spreadsheet application, of course) to opaquely track feedback after each round. Did you miss my comments? Did you disagree with them? Who’d you discuss them with and what were the arguments against it? After several months of this, the document is set in stone and finally pushed outside the firewall, sans this rich pedigree, often as a PDF, and given the pace of technological change, is almost undoubtedly already out of date.
I was fortunate enough to be part of the small teams the drafted the White House Digital Strategy and Open Data Policy. For the digital strategy, we took the baby step of publishing the digital strategy — a document which begged and pleaded agencies to use machine readable formats — in HTML, rather than PDF, a somewhat unheard of move at the time. For the open data policy, we took that a step further and drafted in, and published the policy as a living, collaborative document on GitHub, where anyone — government employees and civic hackers alike — were invited to submit proposed improvements.
Industry-standard practices as policy
On a substantive level, the bulk of the policies we’ve seen have, by-and-large, taken a basic assumption on how the open source community approaches software development (open standards, shared tools, lean workflows), and codifies them into law. It’s an uphill battle, for sure, but there are two areas where we should start to see movement:
Culture and education - We can’t run the government of the 21st century with 20th century skills and workflows, and the way to get there is to cross-pollinate life in government with life outside the beltway. Attending non-government technology conferences, speaking freely about one’s work (both online and off) without stringent approval requirements, and streaming best-of-breed technologists from the private sector across government for an hour each week to simply show how they approach basic things like deployment, customer service, or managing risk will go a long way to bridge that divide.
Anachronistic laws - Most developers in government are well versed in the alphabet soup that is the PRA, FISMA, FAR, and ATOs. That shouldn’t be the case. We need to let software developers be software developers, not de facto lawyers. Policy folks need to rethink how we approach hiring (so we can attract and retain great developers, rather than contracting that role out), how we evaluate risk (so we can lower the minimum batch size before it becomes practical for a project to go out the door), and how we structure contracts (so that developers, not contract officers or tradition prescribe what’s needed).
There’s been a lot of great momentum generated from the policy side, giving the geeks the environment they need to do what they do best, but that’s just the start.
The is an excerpt, originally posted on opensource.com, and is republished here under a CC-BY-SA license.
Named one of the top 25 most influential people in government and technology and Fed 50’s Disruptor of the Year, described by the US Chief Technology Officer as one of “the baddest of the badass innovators,” and winner of the Open Source People’s Choice Award, Ben Balter is a Product Manager at GitHub, the world’s largest software development network. Previously, Ben served as GitHub’s Government Evangelist, leading the efforts to encourage government at all levels to adopt open source philosophies for code, for data, and for policy development. More about the author →