josh-pdap

Joined 4 years ago

Karma
78
Submissions
38
Member since
Sep 19
Executive director of the Police Data Accessibility Project, https://pdap.io.
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Recent submissions

Comment · 4 years ago
Clarifying: when I said "otherwise did not have "coworkers" or "co-volunteers" I mean only for a period of a few months. There have almost always been people in the Discord to respond if something came up, but there were many working sessions in a row where I was the only one to show up.
Comment · 4 years ago
“working forwards” is a good phrase. Thanks for this whole comment!
Comment · 4 years ago
I can only give my perspective on the project: I showed up when PDAP had 2,500 members in Slack, right after Kristin made her original case study and Reddit post. There was a flurry of conversation. I empathize with the people trying to keep everyone focused in those days. It was like trying to have a 2500 person web scraping flashmob with nothing planned in advance. However, all that conversation was important. We still benefit from the combined relevant experience of those 2500 passionate people.

I took a step back from the project for a few months, not having time to volunteer. My understanding is that the board was basically formed out of all the people remaining after some enthusiasm died down.

When I came back, the board had incorporated and applied for 501c3 status. There were four board members, and a few volunteers who mostly just helped talk through the massive problem and plan. Eventually Kristin (OP) stepped down from the board, but was still at some meetings. A rotating cast of 2-3 other people would be hanging around the meetings at any given time.

I became Director of Operations on a volunteer basis for a bit over a year. This mostly just means paying bills, knowing passwords, and updating the website.

We had weekly meetings, where we'd talk for a few minutes or hours about the project, our ideas, and what we could do to move things forward. [0]

We ran a data bounty during this time [1]. One volunteer, Eric, made a bunch of prototypes around metadata for data sources.

Then we got 501c3 status after waiting for almost a year. I quit my day job and started writing grants and set up online donations. I hired two contractors for a bit of grant writing help, but otherwise did not have "coworkers" or "co-volunteers".

We got the grant money [2] about 8 months later. I went looking for a full-time software engineer. I started getting a salary and working full-time on the project as Executive Director, doing all the non-technical design, planning, and product work.

Throughout, I spent a lot of time interviewing and doing design research: investigating the work being done journalists, transparency activists, and local data users in Pittsburgh (and elsewhere). I've also been collecting feedback and experience from everyone in the Discord. Most of our current ideas about what's important and where to start come from that work, and the recent addition of an engineer with excellent journalism and software experience (about 6 weeks ago) has allowed us to start prototyping and developing something together in earnest.

Now: We're excited about our strategies, and it's probably a little early for broad consumption. We didn't coordinate this post; everything you can see is a work in progress. There's lively discussion in Discord about our goals, and I've been typing for about 24 hours straight with a break to nap and a break to eat something.

[0]: https://docs.pdap.io/updates/working-sessions [1]: https://docs.pdap.io/updates/blog/7-14-21-bounty-retro [2]: https://docs.pdap.io/updates/blog/5-17-22-first-grant-awarde...

Comment · 4 years ago
Comment · 4 years ago
Yep, almost all the data is useful for one reason or another. The point is to paint a picture of police activity in general.
Comment · 4 years ago
The FBI and other police organizations are certainly interested in using police data to make the job as safe as possible, for the police as well as the people they’re sworn to protect and serve.
Comment · 4 years ago
Comment · 4 years ago
Interesting, what are you using them for?

Most of our scrapers are written by inexperienced volunteers so this is probably still quite valuable as is. If it works, we’ll take it.

You could also raise a hand as a human data source; perhaps one day someone will be looking for jail data from these counties and you could offer up some way to contact you. I gave my contact info to the person you replied to. Use it if you want!

Comment · 4 years ago
Yes! Police, jails, and courts. Those are all under the umbrella of criminal justice data, and all contextualize each other.

Could you share what you’ve made somehow? [email protected] or discord are likely the best way.

Would also be curious to hear what made you take this on.

Comment · 4 years ago
Comment · 4 years ago
We do want to be careful with PII. We don’t want to make a big table of PII, although tables of PII are regularly published to government websites as html tables. Yet another reason to keep data decentralized while pointing people to it from a central db of sources!
Comment · 4 years ago
I appreciate you taking the time to explain this to me. As a non-engineer I think I’m following you.

When you say “I know what those people are capable of” do you mean something as ominous as that sounds?

Comment · 4 years ago
Thanks for wanting to help! If you go to https://docs.pdap.io you should be able to find out how to contribute Data Sources. No coding required. Holler in Discord or email me ([email protected]) if you have trouble!
Comment · 4 years ago
In our case it’s about working with local activists and journalists. Police are decentralized; each department acts independently, for the most part. Most people using the data seem to be using it locally; when policies are changed, they are changed locally. If the changes make a positive impact, sometimes other departments or governing bodies take notice.

I’d like to aim higher than a quotable statistic for a politician, in any case :)

Comment · 4 years ago
I will say that we are not wading into this. We focus on accessibility; if you point to a big pile of ugly data, the first thing that will happen is that a bunch of very smart people will analyze it. We’re trying to make the big pile, which is currently in like half a million small piles.

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