An unsettlingly large number of the over 2 million people who are incarcerated in the US come from just a few small swaths of this country’s urban areas. Known as “million dollar blocks”, these neighborhoods are places where states spend over a million dollars to jail inmates – places where the most visible and active arm of government is often the criminal justice system.

This is not a new concept – but I’ve noticed a number of really well-done projects and pieces of journalism that have applied mapping and data visualization to tell the stories of million dollar blocks – and, in doing so, the intertwined stories of economic inequality and our country’s swelling prison system. The concept lends itself perfectly to mapping: intriguing and pressing attribute data that only comes alive when tied to its physical place on the ground.

One intriguing experiment in this space is Million Dollar Blocks – a project of the Columbia University Spatial Design Lab and The Justice Mapping Center. They’ve done what looks like a great job of opening up government data on incarceration and churning out elegantly designed and communicative visualizations (see embedded image of million dollar blocks in Brooklyn, NY).

And in the journalism world, the authors of this 2004 piece in NYC’s Village Voice pulled together their own map of million dollar neighborhoods in Brooklyn – which was used to great effect in the power of their piece. It should be noted, too, that they went to additional lengths to be transparent about the making of their map, here.

The Columbia University Spatial Design Lab notes that these visualizations are “a valuable tool resulting in new methods of spatial analyses and ways of visually presenting them that reveal previously unseen dimensions of criminal justice and related government policies in states across the United States.” Agreed. The potential for mapping and visualization to grease the wheels of communication between policy makers and the people, communities and organizations that deal with their policy outcomes appears to be huge.

If open data and low-cost mapping tools can get into the right hands in 2010, hopefully there will be ample opportunity to come up with some evidence to back that projection up.

If the internet and social media were a religion, transparency and reciprocation could be its golden rules. Be open. Be talkative. Share.

But transparency ain’t easy – at least not at first.

Engaging in an open conversation about data – and sharing resources in a collaborative way – is the driving intention behind Nonprofitmapping.org. The everyday tasks of making that a reality, though, involve a lot of open, free and constant communication. It means not just participating in conversations, but starting them too.

But, I have to admit, it’s not as easy as it sounds. I’ve come to believe that there’s a very real learning curve to be negotiated in collaborative and transparent projects generally – and that goes double for projects with a crowdsourcing strategy at their heart. For starters, web culture demands a kind of constant attentiveness. Post well and post often. Reply quickly. Tip your hat to friends and colleagues with a retweet, an outgoing link, or a thoughtful comment. Respond quickly to administrative needs as they crop up. Be on call and prepared when your website blows a flat.

All that demands that you move around your day with an eye for what might belong in the next day’s mental hopper of social media tidbits. When the team meets virtually, it helps to keep a notepad of worthy notables that might be shared via Twitter or Facebook. And when we approach or pass an important project milestone, I have to remember to keep our followers updated.

Making an effort to be as transparent as possible does contain elements of exactly that – effort. It means that putting your head down and working in your own space doesn’t quite cut it – you’ve got to engage with a larger community at the same time.

That’s not to say that transparency is a drag – it’s just the opposite. Social media and a willingness to work openly scratches an itch many of us have to share what we’re up to with others who are up to similar things. It strengthens the quality of our work and builds relationships, among much else. But as a writer making his first concerted effort to work in a transparent way, I’ve noticed that I’ve got to make slight adjustments to the way I work to make room for all of the “musts” listed above. It’s an interesting mark, I think, of the growing cultural difference between business as usual and the “open source” culture we’d like to help build (to get a sense of this, here’s a TED Talk from Michel Bauwens on his ideas about “open everything”).

Anyhow, this is a long, winding way of getting to the point: this GREAT piece from Spot.Us‘s David Cohn (his blog comes highly recommended too) on the importance of transparency and a willingness to experiment (and even look bad once in awhile) inspired an entire line of thinking last night as I tried to figure out what I wanted from 2010. So here it is: one of my New Year’s resolutions is to be more transparent. That goes for Nonprofitmapping.org, but also for any other projects both professionally and personally. It’s about relationship building, really – the bundle of ties that make us and our communities stronger than we would be otherwise.

What are your thoughts on the transparency learning curve? How has transparency affected your working style?

Here’s to a new year, and here’s to transparency – let’s make 2010 a good one!

Our interest in open data, mapping, and visualization comes out of a belief that accessible, high quality, well-organized and well-filtered information is key to helping nonprofits do their work better and more efficiently. Giving nonprofits up-to-date, easy-to-use data means less wasted time, fewer service gaps, and a clearer understanding of impact. The trick, then, is getting the data in the same room with the service providers.

KidsData.orgHere’s an example. In California alone, there are hundreds if not thousands of nonprofit organizations dedicated to children’s health issues. How will they know, specifically, where their services are needed most? And how can they measure impact or change over time? They could spend time and energy finding and developing their own, closed data sets… But increasingly, with the surge of interest in open source, visualized data – that route might be less and less necessary.

Kidsdata.org, a project of the Lucile Packard Foundation for Children’s Health, has been publishing some great looking data on indicators that impact children’s health. A few of the data categories: Child Safety, Education, Physical Health, Family Economics. Nearly all of these are likely to pertain, directly or indirectly, to various child-related missions. Take, for example, this map of 2008 high school drop out rates in California. It’s likely to be of interest to an organization like Children Now, who are concerned with child education issues. Or this set of data on kids lacking health insurance – possibly useful to the Children’s Health Initiative of Orange County, who are working to boost insurance enrollment of children in that area. And the Children’s Bureau could connect with this map of 2008 reported cases of child abuse, also sorted by age, background, and type.

HSDropoutMap Click the image for a closer look (link).

Another resource worth mentioning here is HealthyCity.org, a really robust data provider for all things public health related in Los Angeles County, CA. That project isn’t skimping in the geospatial department either – and it’s worth its own blog post all together (later!). For nonprofits active in children’s health, their maps on health care services of all kinds in that area is a can’t miss. Also: we hear that HealthyCity.org plans to launch HealthyCity California, the statewide version, in early 2010. Have sneak peak at that, here.

*Ever find great data, but disappointed when you realize it’s in a terrible format? KidsData.org obviously thought that one through: the site allows you to download their data via Excel file, export charts and graphs, and create PDF reports on the fly. Nice.

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