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Wow: I learned a ton at the Hacks/Hackers Open(source).athon this weekend.

Check out the great writeup of the day for a summary of the event. Personally, I worked on recrafting some Associated Press Election data for a project we're working on at WNYC. I also had conversations that could lead to several collaborations, and even got some tips for programming in Ruby and Sinatra.

The day also gave me a great frame for my next hackathon, which is being run November 8 and 9 by Hacks/Hackers and Eyebeam, with support from WNYC and The Knight Foundation.

New York switches to a new paper tomorrow -- Primary Day -- and ballot designers say voters likely will be confused.

At WNYC, we're covering this story in several ways that go beyond audio and written text.

Ballot Markup

For one, we had ballot designers help us annotate a ballot using DocumentCloud.

Sourcing Through Texting

For two, we're welcoming voters to share their experiences with the ballot via text. They (or you!) sign up by texting BALLOT to 30644.

Video Fun

The whole thing started when our host Brian Lehrer and reporter Azi Paybarah actually tried the sample ballot and made several mistakes. Which leads me to the third component: A video about using the new ballot:

My presentation before a room full of talented programmers next week Thursday will include hair salons, semi-trailer trucks and sidewalk chalk.

It's TimesOpen 2.0, where digital tinkerers gather to talk about online data from the New York Times and the latest trends in information technology.

Next Thursday is Mobile/Geolocation night (which is free). Presenters will include Mano Marks from Google, John Britton from Twilio, Matt Kelly from Facebook and me. I'll be talking about The Takeaway's Sourcing Through Texting project.

My preso will likely be the lowest-tech of the bunch. Our aim was, and is, to connect journalists and citizen-sources using basic text messages, and our method was brainstorming, learning and prototyping in two neighborhoods -- Southwest Detroit and Miami's Little Haiti. We absorbed a ton. (And we sparked an investigative series on illegal truck traffic.)

There are certainly opportunities here to mash up APIs and build on some nifty platforms. I'll talk about that, too.  But as we continue working toward connecting with sources via texting, some of our best insights have come from coffee shop conversations, church bulletin announcements and short-codes scrawled on sidewalks.

Fantastic presentation of GPS data from New York City Taxis in the New York Times today. So many stories embedded here, giving a wonderful sense of the city.

The ability to "play" the data is especially key. And the treatment itself hits all of my buttons. You just get it.

Beautiful.

What a great visualization of Netflix movie-rental data from the New York Times! Love how you can see how different movies play across the city.

It's even more interesting when you know something about the demographic makeup of the zip codes. Look how the Harlem River between upper Manhattan and the South Bronx is a bright dividing line for almost every movie.

How about a mashup that would reflect this info and demographic data simultaneously?

(tip via Nate Westheimer @innonate)

Tuesday night I'll have the fantastic privilege of making a quick presentation at the NY Tech Meetup about our news-technology efforts at WNYC. I'll also invite folks to connect with us in the interest of, well, the public good.

Huge thanks to Nate Westheimer for his interest in our work and the opportunity to say a few words.

Acknowledgment where due: WNYC's public radio news-tech projects, including the Super Simple Mapping tool, are supported by the John S. and James L. Knight Foundation and the Corporation for Public Broadcasting.