Credit: Albert Chao

The biggest criticism of the project has always been around the sensor components themselves. The project aims to use low-cost, off-the-shelf, easy-to-use components to give us information that is currently only supplied by $50K scientific equipment. Last month in Amsterdam, over 30 attendees traveled in from 5 countries to attend a one day workshop which aimed to move a step forward on this sensor aspect of the project. There was a fantastic mix between hardware engineers, software developers, and "philosophers" (ie. non-technical participants who wanted to contribute in whatever ways they could). We were able to break into working groups to tackle different tasks and sensor components, and by the end of the day (after only 4-5 hours of solid work time), we had live data we could look at from a good number of sensors. We took these outside to test with the exhaust from a Vespa and got a feel for how the output from these sensors would look. Patrick Beeker, one of the attendees, blogged about how it went here. Groups in Amsterdam and NYC continue to work on this in real time.
One of the best uses for the new frozen and live triggers is make a datastream send a tweet when it becomes frozen. To do that when logged in, first visit the feed page (e.g. https://pachube.com/feeds/504). Next pick the datastream you'd like to be notified for. In the 'Triggers' section, select 'Twitter' from the dropdown menu next to the 'Add a Trigger' link. Then click 'Add a 'Trigger'. In the configuration for the new trigger you may have to log in to the Twitter account you'd like to use. Once that is done you can set the trigger to "Send a tweet when value goes frozen" and customise the text of the tweet. When you're done customizing the tweet text click "Save", and your trigger is all set up. If you want to test your new trigger, click the Debug button and your account will send a tweet simulating the datastream becoming frozen.
Engine bay lights at Crystal Park Fire Station in Manitou Springs, Colorado
Freezing conditions in Dublin, Ireland
Power service availability for coconut oil mills in Perambra, India
Questioning the meaning or context of each others' data
Learning from each others' experiences

Pachube Pioneer: Derek Foster
As an example, this graph shows energy usage in December 2010 compared to the same period the previous year. Since much of the UK suffered a severe cold snap in December 2010, many people were unable to commute in, resulting in low staffing levels. Derek's theory: "The absence of ‘people activity’ significantly flattened the graph, highlighting the potential of behavior change. Of course it is not possible to completely eliminate this activity, as employees use a range of necessary facilities to carry out their working responsibilities. Rather, we can target a reduction."
We are also implementing energy awareness services through Twitter where you can send a simple tweet to one of our energy handles and receive a response back with more information on the requested building’s energy. By sending the name of any one of our campus buildings to the twitter handle @lincolnEnergy you will receive a response with a shortened link to that particular buildings 24hr energy graph as generated by Pachube. I also plan on using the bot to post random updates on our energy data. This is just the start and hope to be as innovative as possible with it, time allowing.
Where's the data? Look outside your window -- have you ever wondered what the quality of the air is out there? I mean RIGHT. OUT. THERE. 12 inches from your face. If so, you are out of luck. The air quality data collected by the government is likely sampled from far, far away and then applied to you on a regional level, almost completely useless from the standpoint of trying to understand or change the local dynamics of pollution that affect you. Not good. If you're interested in joining a community of people who are going to change that, read on.
Credit: Albert Chao
In the world of December 2011 that we live in, data drives activism. The dialog online has reached a deafening roar and everyone has a cause, so it takes hard evidence to turn heads. Without real air quality data, people can be easily brushed aside, or worse, ignored. But nothing screams, "Take action!" like a link to a datastream updating in real-time showing how people are being affected at this very moment. This is the next form of self-expression, a la YouTube, and it's already happening.
The barrier is the naysayers -- people who don't understand that the engine and scale of the internet community has put what we need to solve this problem within our grasp. They are the people who ask why we'd bother, since we don't understand the science. It's true, we do not have access to the technology that builds $50,000 air quality sensor systems, but we do have the ability to put 50,000 $100 sensors systems into a city, a collective voice which won't be able to be ignored. We'll also have a much better view of trends and of what's happening in real-time -- which will most likely tell us things that the official datasets aren't looking for. Further, if we're a bit savvy about it, we'll be able to create a platform that other people can refine and improve over time. We might not hit the bullseye on the first run through (which may not be necessary anyway if we build an extensible platform), but we'll start an unstoppable movement that will re-shuffle the way issues get discussed.
With this agenda -- to create a way for citizens to participate in the conversation about air quality -- we have partnered with our Pachube communities in NYC and Amsterdam. On November 18, we held a workshop at De Waag, a center for digital media in Amsterdam in the center of the old city, which brought together people from all walks -- hardware, software, scientists, concerned citizens, etc. Led by Casper Koomen, a UX and concept developer, we were joined by Sara Cordoba of design agency Booreiland. Bas Mijling from the Royal Dutch Meteorological Institute provided perspective on local issues and resources. Other speakers discussed projects that helped define our collective understanding of the challenges involved.
- Ease of use, approachability. The basic unit comes in two parts: a “base station” RF platform that would plug directly into the ethernet port of a wi-fi router, and an enclosed sensor node that communicates wirelessly within 40-50 yards. The wireless node would be protected in a distinct “egg” casing: simple to produce with the potential to create a sense of empathy or stewardship. The project's name "Air Quality Egg", is taken from this concept.
- Requirement to be able to compare inside/outside measurements. (Should I open the window? Should I get off the bus here? How does the air in my home compare with others?) Additionally, personal space + public space measuring produces a valuable network effect while delivering immediate personal value. This is key for both distribution and engagement/participation.
- Platform focus: Applications will be limited and basic at the outset as the design of the network has the enablement of third-party applications at its core. Furthermore, the hardware will be designed with openness, extensibility in mind. This group's sensor systems will be the start, but the network will be open to adding hardware (eggs) designed by others onto the core base station. Have a better way to get at air quality data than the sensor/hardware choices made here? Make your own egg and send it out to the community!
- Crowdfunded: Kickstarter is a natural path for Air Quality Egg. The project can be funded and simultaneously reach the people who want to be part of this movement. This is a project built, funded, and run by a distributed group of citizens. eyebeam will likely be a key partner at this step.
You can help and be a part of this! 
