The Public Data Layer

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I have been thinking a lot lately about the increasing importance of the “public data layer” — meaning, data that we will need (“we” applied broadly, meaning the general public, NGOs, government, scientists, journalists) to make sense of what’s going on in and increasingly busy, but increasingly quantifiable world.

First, some of the drivers here. In general, there is more data being generated than ever before, so much of which has a bearing on “public” issues.  A few of the specific drivers include:

  • Increasing role of “platforms” in regulated spaces (transportation, health, finance, education, etc) — these are enormous generators of data with direct and indirect bearing on public issues.
  • Sensors & IoT (publicly and privately owned) — same as above.
  • Abundance of media — as we have seen with the recent US election, the rise of social & independent media is democratizing but also problematic.
  • Personal health data — the cost of gene sequencing is dropping like a rock, which will lead to an explosion of health data. This data will provide personal value but can also provide enormous societal value.

Why this will be important?  Because all of these data have the potential to increase collective intelligence and societal knowledge.  And more specifically, we have the potential to redesign the way we make policy and handle regulation given these inputs.  If we do this right, we can get smarter at policymaking, and design regulatory systems that have both greater effectiveness and lower costs of implementation and compliance.

So, what infrastructure will we need to handle and process all of this public data?  This seems to be forming into a few broad categories:

  • Data pooling & analysis platforms — tools and APIs that make sense of these data — generic/foundational tools like Composable Analytics and Stae, and more specific, vertically-oriented projects & tools, like OpenTraffic and Aerostate.
  • “Regulation 2.0” platforms — specifically designed to facilitate a data-driven policymaking and regulatory process — for example, MeWe, Airmap, SeamlessGov.
  • Foundational and application-layer blockchains — on the pure tech side, this is the most interesting area of development.  Blockchains give us both public data access and data integrity in a way that’s not been possible before.  Much of the focus is still on “foundational” blockchains like Bitcoin, Ethereum, Tezos and Zcash, but eventually this technology will reach the application layer and we’ll have more explicitly “public” applications.  I also expect that Blockchains and Regulation 2.0 platforms will get ever closer and ultimately merge.
  • Mechanisms for identifying and amplifying truth — this is a tough, but important one.  We have two problems, in parallel: First, how to we discern truth from untruth?  And second: how do we give truth the attention it needs to “win”?  The big platforms like Facebook are experimenting with this now, and we’ll likely see more tools and services that help with this.

That’s the vision — where it seems clear that we are heading, and where we need to head.  So, the more important question is, how will we actually get there?  A bunch of questions/thoughts on my mind are:

  • Broad vs narrow?  Strikes me that we will see the most traction in narrow applications first — the thin edge of the wedge, that solves a concrete problem.  Also, the “personal data layer” hasn’t arrived in one broad platform either.
  • Open standards + distribution magnets: dating back to my work around open transit data, a key learning was that open standards need distribution magnets.  The thing that got transit agencies to publish data in the open GTFS format was Google Maps.
  • Portal access vs. real access — the natural tendency of data owners is to offer access via siloes and portals (e.g., Uber Movement).  This is something, but’s not the real thing — the more important question is how to get actual data moving.
  • Government isn’t the only audience: public data is of course useful for policymaking and regulation, but it’s equally important for scientific research and journalism.  These areas could end up being the initial leaders.

That’s it for now.  More to come.  For some more context on my thinking here, see Regulating with Data and Alternative Compliance.

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The new normal

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The week before last, my in-laws were hit by a truck while crossing the street after dinner. The time since has been a disorienting whirlwind of sadness, fear, hope and thankfulness.  My mother-in-law suffered a very serious brain injury, and while she has cleared the first hurdle of basic survival, the outlook won’t be clear for… Read more »

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Alternative Compliance

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Summary To better support small businesses operating in regulated sectors, we should develop “alternative compliance” mechanisms — parallel regulatory regimes that achieve the goals of existing regulations but take an alternative, data-oriented approach to achieving them.  Such an approach would be especially friendly to the smallest of small businesses, and would take advantage of available… Read more »

Regulating with Data

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At this year’s Personal Democracy Forum, the theme was “the tech we need“. One of the areas I’ve been focused on here is the need for “regulatory tech”.  In other words, tools & services to help broker the individual / government & corporation / regulator relationship. In a nutshell: we are entering the information age, and… Read more »

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Internet meets world: rules go boom

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Since 2006, I’ve been writing here about cities, the internet, and the ongoing collision between the two. Along the way, I’ve also loved using Tumblr to clip quotes off the web, building on the idea of “the slow hunch” (the title of this blog) and the “open commonplace book” as a tool for tracking the… Read more »

Big innovation and small innovation

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Yesterday at one of our bi-monthly team deep dives at USV, we got into the conversation of essentially “Big Innovation” vs. “Small Innovation”.  Those who have followed USV for some time know that at the core of the investment thesis is a belief in “decentralized”, “bottom-up” innovation — the kind that really became possible with… Read more »

Beam should have a hardware API

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We’ve got a few Beam telepresence robots at USV, and use them all the time.  Fred has written about them here.  We had a team meeting today, and we had two beams going at once — Fred and I were the first to arrive, and we were chatting beam-to-beam — he in LAUtah, me in Boston,… Read more »

Learning to skate

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Hello, 2016

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Breaking the ice — been off the blogs for quite a while now. Looking forward to this year, the way I tend to every year.  2015 was a tough one for me personally — went through a bunch of shit on the family front that both demonstrated how tough life can be and also how… Read more »

As Massachusetts ponders ride-sharing regs, where’s the data?

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Today, hearings begin at the Massachusetts state house over how to regulate the budding ride-sharing / on-demand transportation industry (Uber, Lyft, et al). Adam Vaccaro over at Boston.com has a good summary of the various competing bills — a pro-Uber bill that welcomes new Transportation Network Companies (TNCs) with relatively light-touch regulation, and a pro-taxi… Read more »

Supporting workers in the gig economy

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If there’s one thing I’ve learned throughout my years as a human, it’s that life is hard and people need help in order to make things work. That help can come in many forms: family, friends, co-workers, teachers, unions, healthcare providers, agents, assistants, coaches, therapists, strangers on the internet, you name it.  Point is, we… Read more »