On Vacation

Friday, July 22, 2016

by Nick Charney RSS / cpsrenewalFacebook / cpsrenewalLinkedIn / Nick Charneytwitter / nickcharneygovloop / nickcharneyGoogle+ / nickcharney

Hey Everyone -- thanks for taking the time, just wanted to let you know I'm on vacation for the next two weeks. See you on the other side.


Impossible Conversations: Smart Citizens, Smarter State

Friday, July 15, 2016

Smart Citizens, Smarter State makes the case that governments are woefully under-using the knowledge, expertise, and talents of their citizens - and that bridging that gap is “the future of governing.”

Author Beth Simone Noveck has been at the forefront of changing trends in government and governance for a while now. She’s the Director of NYU’s Governance Lab, and led the U.S. Open Government initiative as Deputy Chief Technology Officer of the White House from 2009-2011.

Having been at the forefront, she draws on a variety of case studies and examples of how government got to novel solutions through more engagement with the public, which covered a broad spectrum of models:

  • Crowdsourcing: gathering ideas, suggestions, or feedback on ideas from a broad base of participants
  • Citizen engagement on policy-making: involving people in decision-making through online townhalls, discussions, surveys, polls, or other approaches
  • Collaborative coding: getting a variety of people to work together to build open-source software
  • Citizen science: creating technological platforms through which people can contribute to research, like mapping star fields, taking photos of sea level rise, or measuring PH in a river system
  • Public challenges: posting a monetary prize for the first person or organization to design a solution to meet a particular technical, scientific, social, or governance challenge

To add to those models (some of which were covered in her 2009 book Wiki Government), Noveck lays out the concept of “technologies of expertise,” which go beyond the platforms that allow governments to communicate back-and-forth digitally with citizens and into models that help government officials not only find specific types of experts, but also proof and demonstration that those people actually do possess the expertise they claim to. For instance, Github is a website that hosts code repositories, but it also tracks users’ actions and how much they contribute to different coding projects. Or, this proof can be offered through reputation (e.g., eBay ratings), certification (e.g., online education programs), or badging (e.g., Code Academy).

So is this the future of governance?

Nick CharneyRSS / cpsrenewalFacebook / cpsrenewalLinkedIn / Nick Charneytwitter / nickcharneygovloop / nickcharneyGoogle+ / nickcharney

Overall, I enjoyed Noveck’s book, though there were a few chapters that where more US-centric and thus less germain to the Canadian experience (but one can hardly hold that against her). Here’s a few insights from the book (including page numbers) that I think are worth sharing, followed by my commentary.

  1. We have no good mental models for what smarter institutions look like -- i.e. the next iteration of governance (page 30), which leads me to conclude that we are slowly negotiating what those look like through ongoing societal discourse within and about the nature of democracy in a globalized world. Indeed many of these conversations have permeated our political discourse as of late (e.g. US election, Brexit, North American Leaders Summit, etc).
  2. There’s a lot of discussion about the role that professionalism plays in crowdsourcing in Noveck’s book (page 48) and I’d like to sit her down with Cult of the Amateur author Andrew Keen (See: New Thoughts from an Early Adopter) to discuss it at length.
  3. There’s some discussion about “the spoils of new, middle class jobs for thousands of people” (page 69) which to my mind simply signals the fact that any change in governance will have huge economic implications as those changes cascade through our complex and interrelated systems, that and that the stakes are obviously high and interests are vested.
  4. Noveck also talks at length about the “We the People” website (pages 77-79) which simply confirmed for me that we have no good models for engaging people in policy making in large numbers, that level of sophistication is still relatively low, and our technological systems are too fast for slow and thoughtful deliberation (See: Thinking, Fast and Slow About Online Public Engagement)
  5. I found the concept of “thick” versus “thin” engagment (page 82) to be interesting and likely helpful in framing discussions with others (e.g. do you want thick or thin engagement on this or do you have enough dedicated resources for thick engagement?).

Finally, if you read anything from the book, read pages 144-145. It's insightful and aligns with how the policy innovation and experimentation winds are blowing in Ottawa right now. Here’s a snippet:

“Although there is a lot of writing about improving the use of science in policymaking, Nudge work included, there is still little attention to the science of policymaking itself and only the whispers of an effort to test empirically new ways of deciding and of solving problems. Even if we vary where and how and at what level of government we restrict abortion or legalize prostitution or change the design of the forms used to enroll people in social programs, we do not often question the underlying assumptions about how we make these policies in the first place…

Examining the choice between policies arguably helps to spur a culture of experimentation, but it does not automatically lead to an assessment of the ways in which we actually make policy. To be clear, the Nudge Units often test choices between policies, or sometimes test the the impact of changing default rules, such as how and when to enroll people in a social service. Typically however, they do not experiment with approaches to making policy. They do not examine how governance innovations, such as open data, prize-backed challenges, crowdsourcing, or expert networking translate into results in real people’s lives …

The first step toward implementing smarter governance, therefore, is to develop an agenda for research and experimentation

Kent AitkenRSS / cpsrenewalFacebook / cpsrenewalLinkedIn / Kent Aitkentwitter / kentdaitkengovloop / KentAitken

I want to start by doubling down on Nick’s fourth point, with some nods to his first. Large-scale digital citizen engagement is still in its Myspace phase, and we’ll need to keep designing and experimenting to get to models and platforms that work really well. No one's really cracked the online deliberative dialogue nut. Here's a solid, if dated, overview, and here's MIT's work, but the long story short is: polarization around views, in-person power dynamics being replicated online, the order and timing of comments influencing debates, and people sometimes just being lousy.

That said, the exceptions prove the rule for intentional design: for crowdsourcing, some of the really successful case studies are incredibly specific to a particular activity (e.g., spotting supernovae or folding proteins).

During our book club discussion on this one we spent a lot of time on questions about the value of citizen engagement, and the perceived success of governments at both soliciting and using feedback and ideas. My reaction tends to be along these lines: of course it will be of benefit, in many cases, to work with people outside of government to solve public problems, whether that means niche experts, demographically representative samples, or broad public engagement. The question is knowing when to do it, and being able to design the approach such that it’s worthwhile for everyone involved. Subtitles of books like this tend to be hyperbolic (probably well beyond the authors’ claims), so I’d nuance the line to “part of the future of governing.”

Lastly, there’s one area where I tend to be very skeptical, which is the “technologies of expertise” that Noveck refers to: that is, platforms that are designed to surface experts and make them findable by governments. I suspect that if you dig beneath the connections made through platforms that allow people to use, and publicly prove, expertise (e.g., Github, Stack Overflow, Wikipedia, etc.) the lines will map to the interpersonal social networks of the people using those platforms. This argument could be a little chicken-and-egg (when the relationships start virtually over shared interests), but the social context isn’t going away.

From an impartiality perspective, this is a tad dangerous because it means it’s not a perfectly level playing field, but the relationship between government and citizens is going to grow through the aggregate relationships between citizens and government officials (see: Why Government Social Media Isn't Social (and the comments)). The Smart Citizens we're talking about will engage with government when government starts to get to know them.

On Somewhat Simpler Taxonomies

Friday, July 8, 2016

by Nick Charney RSS / cpsrenewalFacebook / cpsrenewalLinkedIn / Nick Charneytwitter / nickcharneygovloop / nickcharneyGoogle+ / nickcharney

A few weeks ago I shared some of the thinking I was doing with my team about new policy instrument taxonomies (See: On Possible Taxonomies of New Policy Instruments and Approaches); since then I've come up with a more plain language version that I wanted to share.

I've already had a couple of conversations with folks about it and while it's closer to being about outcomes it still doesn't quite crack the nut:

I want to use government's ...

Nodality Authority Treasure Organization
Substantive convening power to create public value

E.g. social networks, information networks, coordinating bodies, etc.
legal authorities to create public value

E.g. law, regulations, standards, taxation, etc.
financial resources to create public value

E.g. grants, contributions, transfer payments, etc.
non-financial resources to create public value

E.g. people, skills, land, buildings, technologies, etc.
Procedural convening power to explore how public value is defined and/or created

E.g. social networks, information networks, coordinating bodies, etc.
legal authorities to explore how public value is defined and/or created

E.g. law, regulations, standards, taxation, etc.
financial resources to explore how public value is defined and/or created

E.g. grants, contributions, transfer payments, etc.
non-financial resources to explore how public value is defined and/or created

E.g. people, skills, land, buildings, technologies, etc.

Essentially it breaks down the approach vector into wanting to innovate within the current confines of the system (substantive) and innovating on the system itself, which in my mind is an important distinction. That said, upon reflection, this is akin to the policy innovator's dilemma I've articulated previously (See: Policy Innovator's Dilemma).

It needs another iteration, but like I said, I wanted to share and solicit additional feedback. So, your thoughts?