Javaun's Ramblings

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Journalism

If you’re a data journalist or a community activist and you haven’t heard of Pachube (pronounced “PATCH bay”), you should look them up. They’re trying to answer a question that no environmental group or government agency can answer right now: at any given time, how clean is the air in my neighborhood?

Pachube is about to pilot citizen-led air quality sensor networks in New York and Amsterdam. Pachube’s business is to become a data hub for the “internet of things” — internet connected objects and ambient sensors — allowing citizens to share meaningful data and learn from one another. Civic engagement is part of their mission.

The granular air quality data they’re attempting to capture doesn’t exist anywhere– you can download a snapshot of air quality data from the U.S. EPA, but there’s no real-time stream and the closest EPA sensor is likely miles from your home. Or at least much farther than a DIY sensor you can mount outside your window.

Sensors were on my mind again after all of the discussion of drone journalism last week at News Foo.  I was certain someone must already be doing this project and stumbled across Pachube during my search. I spoke with Pachube’s Ed Borden earlier this week, fully aware that neither he nor any of the volunteers he works with know how this will turn out. I was still very impressed with their level of organization, ambition, and common sense approach to the problem.

Citizen generated data is going to create two big opportunities for news organizations — or for whoever steps up to fill the need.

The first opportunity is that a lot more data is going to create a lot of areas for news reporting. There will be real-time data visualizations and gradiated maps. Experts may provide analysis for seasonal trends and prediction. And when sensor data shows a spike that may indicate negligent or criminal activity, it’s going to take a shoe-leather reporter to fully investigate the matter and bring responsible parties to bear.

The standard analogy is the weather, a $4 billion industry that relies almost exclusively on data gathered by NOAA. While we may not see another cottage news industry this large, the cumulative size of many new niche areas could easily exceed this. If stage 1 of data journalism was “find and scrape data.” , then stage 2 was “ask government agencies to release data” in easy to use formats. Stage 3 is going to be “make your own data”, and those sources of data are going to be automated and updated in real-time.

Inexpensive, ubiquitous citizen sensors aren’t going to have the precision (at the outset anyway) of more costly professional sensors, and journalists should embrace these networks anyway. These networks aren’t trying to replace scientific and government detection equipment, they’re trying to both fill a data gap and advance conversation.

Air quality is the perfect test for many reasons. The technology already exists. It’s a fundamentally local (really hyperlocal) issue but without measurement, it feels abstract. I live near an airport and one of the dirtiest coal-fired power plants on this side of the Mississippi. If our air happens to be dangerous, and if the parents on my block had even the crudest awareness of the air quality trend outside their front door, they might take action. Drastically change their kids’ routines. Or move. Or petition for a rigorous scientific study of local air quality.

The second opportunity that open sensor networks will present for news organizations is the same one they’re already hesitant to embrace on other civic engagement platforms.  (I’m going to take a narrower, more specific view than what Jonathan Stray, JC Stearns, and Melanie Sill wrote this week. But I largely agree with them that we need to be open to redefining how we achieve our missions.)

The open government movement has already spawned many startups to solve problems that citizens and media believe are worth solving. These startups almost always lack a captive media audience. They need help recruiting citizen participants and driving awareness of their platforms.  Whether they know it or not, they do need an objective third party to validate their work and give it authenticity. News organizations are uniquely positioned to serve as ethical overseers, moderators between antagonistic parties, or facilitators of open public dialog.

For lack of a better term, I’ll call this ‘citizen engagement journalism’: applying the newsroom’s tools and values to advance the cause of journalism by means other than reporting.

It’s a responsibility that is every bit as noble as reporting and can achieve the journalism goals of informing the public, investigating corruption, speaking for the voiceless, and seeking truth. The other side benefit is that local media can deeply engage with their audience in new ways.

I think a lot about this a lot, because the public radio system has so much untapped potential to ignite its communities. Public radio has a footprint in every local market, and we’ve known for years that our listeners are dying to interact with us beyond just turning on their radios.

Collaborating is a lot more complicated than it sounds. Startups may have an activist bent and are puzzled why local media isn’t giving them free promotion. News media may either fail to see the new opportunity to become a new kind of community steward, or they may feel genuinely threatened by new civic engagement platforms. Partnerships have been slow to materialize.

Neither startup civic platforms nor media really understand each others needs and boundaries, so we can’t pin the blame solely on media intransigence.

This deserves a followup post on how journalists can take a page from civic hackers and fill a new role. I promise to include some detailed examples of where this is already working and how it could be better.

In the meantime, what do you think civic hackers and journalists need to learn about each other to collaborate?

(UPDATE: I think we’re on to something here…)

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This morning, the NPR online team launched the NPR API, or Application Programming Interface, to make NPR content freely and publicly available.

So what is an API and why should you care? From a technology perspective, an API is a channel that allows one application (such as a website) to share information and procedures with another website or application. A perfect example is a Google Map mashup. Any website or blog can embed a Google Map and plot their own data on top of it; for example, Trulia plots homes for sale in DC on a Google Map.

From the larger perspective of freedom of information, an API is a much bigger idea. It means that our content can appear anywhere, in almost any format. Anyone with an idea and some basic web skills can select, repurpose, and embed our content on the web, on a desktop computer, or even on a handheld device. Fans of David Sedaris, NPR Election coverage, or Ketzel Levine’s Talking Plants no longer have to search all over our website to find their favorite content. Audio, text, and photos can now come to them now as an embeddable blog widget, a Facebook application, or any other format they can imagine. I should mention that only a few of these widgets exist so far, but the API is out there, so it’s only a matter of time before people start building them.

The UK Guardian and BBC have experimented with very limited APIs. The BBC makes available feeds of short program descriptions and its program schedule, but it does not make its full content available. Back in May, the New York Times announced that it would be making all of its content publicly available via an API. As far as I know, NPR is the first major media organization to launch an API to make all of its content available.

NPR’s Zach Brand and Daniel Jacobson were the leaders of the project, and here are the full credits :

There were a ton of contributors to this new API with the primary technical architect being Harold Neal. Other major contributors include Joanne Garlow, Jason Grosman, Tony Yan, Ivan Lazarte, Stephanie Oura, Ben Hands, Shain Miley, Lindsay Mangum, Sugirtha Solai, Todd Welstein and Vida Logan, and others.

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I’d noticed something different about the NY Times search over the last few weeks, but just realized today that it’s because they’re split testing a new interface. I have to say I really like it.

Google launched a new hosted site search solution on June 11. Though aimed mostly at SMBs, it wouldn’t surprise me if a lot of large enterprises give Google’s Site Search a serious look.

NYTimes.com is splitting traffic, so to see the beta search you’re going to need to click the links below. In addition to the differences mentioned below, the algorithm is tuned differently in the new search. There is a different result set returned, possibly with less emphasis on AP stories, and I notice a lot more photos in the new results.

Old Search:
http://query.nytimes.com/search/query?query=afghanistan&st=fromcse

  1. No multimedia included in results. Toggle result to match on “Closest Match”, “Newest First” or “Oldest first”
  2. Date range radio buttons are difficult to discern and include a “custom date range” function
  3. Complicated search filters and link to advanced search
  4. Numbered results set
  5. Separate blog results included in a right hand box
  6. Refine results by NY Times section (Arts, Books, Business, etc). Pagination suggests an overwhelming results set.

(Click to Enlarge)

(Click to Enlarge)

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Each morning, Alessandra Olanow chooses an NPR radio story to illustrate in tongue-in-cheek fashion.

as a morning practice I listen to npr and do a little sketch on one of the stories

It’s a really simple and unique idea, and she does it extremely well. Alessandra already has a following who listens to the radio and tries to guess which story she’ll choose.

You can also receive her illustrations as a daily email newsletter through feedblitz.

Here’s one from April 14: “too many boys: demographic crisis looms in china”

'too many boys: demographic crisis looms in china'. Illustration by Alessandra Olanow

Illustration by Alessandra Olanow

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