Lo and behold, on the first official Urban Agriculture Day in the City of Boston, we are excited to release our latest project, urb.ag. The tool enables users to find locations where they can pursue different urban agriculture activities around the city. By selecting a specific location, you can see which farming opportunities are available, and which actions you’ll need to take to start a commercial farm in Boston.
Whether you’d like to keep honey bees on the roof, hens on the ground, or a freight container garden, the site describes the steps needed to start any type of commercial agriculture activity. Here at Fathom, we’re seeing what we can do to start a rooftop hydroponics system (though we’ll have to run this by the Boston Landmarks Commission because we’re located in a historic district, and probably by our landlord because we’re not especially wily).
By toggling between roof and ground levels, selecting different structures, and choosing various activities– soil plants, aquaponics, aquaculture, hydroponics, beekeeping, hen keeping, and composting– you can see the zoning considerations that apply to each lot, the permitting applications you’ll need to complete, and the commissions you’ll need to contact to get the ball rolling.
We celebrated the site’s release today alongside Urban Agriculture Day, and the groundbreaking of the city’s first commercial urban farm, the Garrison-Trotter Farm in Roxbury. Boston Mayor Marty Walsh was there to celebrate and announce the occasion.
Site release at the Groundbreaking event
Mayor Marty Walsh welcomes commercial urban farming in the City of Boston
Harold Street Urban Farm’s site plan, nicely executed.
Fresh food everywhere!
We met the mayor!
Breaking ground, or turning ground.
The project actually began with a tweet from former Boston mayor, Tom Menino a year ago. Terrence, our in-house farmer/ professional pickle maker, shared the tweet with the rest of the team, and we decided that the legislative changes taking place opened a tremendous opportunity to improve local engagement with urban farming. We partnered up with the Mayor’s Office of Food Initiatives, the Boston Redevelopment Authority, and other folks from the City of Boston to integrate municipal zoning code with the recent legislation, Article 89. After receiving support from the Knight Prototype Fund, we set out to make the legislation more navigable and transparent to those interested in urban farming.
Grab your phone, tablet, or open up a (narrow) screen on your browser to find the nearest location to start a commercial farm. We’ve optimized the tool for mobile and tablet devices, which forced us to prioritize the information that ‘s most important for users. Try it out, and get growing!
We have been very busy lately in preparation for the upcoming Tau Day. Last week, the whole office gathered around two pies to honor our favorite mathematical constant!
No matter your numerical orientation, at Fathom we are open to all kinds of mathematical beliefs and points of view.
During the development of Peek in Pi, I pointed out the ongoing debate about the circle constant. The current standard relates the circle’s circumference to its diameter (which is what π stands for), though many people claim that it would be more convenient to relate the circle’s circumference to its radius (also referred to as τ). When I discovered that TAU was already a constant in the Processing ecosystem, though, the nerd in me couldn’t have been any happier.
Last week (or half tau months after the Peek in Pi release), we hosted a FiesTau party in our office to prepare for the advent of Tau Day, and to honor the enlightenment of this constancy with the same rejoicing and delight we embrace it with.
Mark and his wife Kim were kind enough to provide us with two whole pies for the event, because we simply couldn’t have a Tau party without lavish food and libations. Fortunately they didn’t use a certain pie pan they own that has an imprint of the digits of half tau…
We took this opportunity to release the latest creation from the Fathom foundry: Peep in Tau, a new take on searching numbers within the digits of well-known mathematical constants.
But the climax of this soirée began when we started playing Taupardy!
We took one of the questions (or answers), “The sequence of positions of consecutive 9′s in Tau’s decimals”, as an opportunity to play around with our new app, learn more about the Feynman Point, and submit the sequence as an entry to the Online Encyclopedia of Integer Sequences. After an exhaustive review process, the sequence was accepted, though sadly it was stripped of most references to Tau as an independent constant.
The evening finished with a mandatory team photo shoot, with everyone properly attired in brand new Tau-shirts gracefully designed by James. Yes, this is how we roll.
I have to say it was a memorable evening, full of joy, fun facts, gracious tau-puns, and lovely geekiness.
Fathom received a Knight Prototype grant which provided us the opportunity to embark on a collaborative project with the City of Boston. Last week, we traveled to Pittsburgh to present our Urban Agriculture project at Knight Demo Day.
Demo Day was a chance for all participants of the Knight Prototype Fund to present their projects to each other. There were 21 presentations in all, and it was great to see what other teams were working on. To name a few, Kids Making Sense was a project that gave kids air quality monitoring sensors to measure air quality around their cities; Ride Louisville identified biking arteries through a mobile app and referred to them as metro lines to encourage more biking infrastructure; and Market Metrics gathered and summarized key metrics for farmers market managers through a visual report tailored to the interests of their community.
For our project, Alex and I built a user-friendly app that integrates zoning data with new legislation so Boston residents can identify spaces that can accommodate commercial agricultural ventures within the city (stay tuned for the app release at the end of this month).
Last year we completed a project for Knight around the growing Civic Tech market. Now we have found ourselves involved in that very market, helping to make government data more open and accessible for the public.
Today Mark and I took another trip to Harvard to speak at Beautiful Data, a two week summer institute hosted by metaLAB at Harvard University. The institute is supported by the Getty Foundation and is a workshop to help curators and historians tell stories with open art collections.
We discussed a wide range of projects and processes from Nike to GE to Miles Davis to convey our understanding of audience, authorship and archives as it pertains to storytelling and data visualization. We were able to enjoy most of the morning sessions and engage with some really interesting dialogue from art historians and museum professionals. It was interesting to hear their perspectives on how they work with data.
When Andrés isn’t contemplating the future of Processing or writing about OpenGL shaders, he has been leading the development of Mirador, a tool that provides an overview of large datasets, by visualizing their underlying dependency structures and identifying groups of explanatory variables.
So far Mirador has been exploring health datasets beginning with NHANES, the National Health and Nutrition Examination Survey. Every other year, they travel the United States with a fleet of mobile examination rooms to survey 10,000 participants on hundreds of questions and factors. The result is an enormous, but well-developed database used by medical researchers in a number of fields. As a result many research papers are based on NHANES data. Using Mirador within a couple minutes you can take one of these research papers, adjust the variable parameters, and see the correlation that the paper is discussing.
Some of the powerful features of Mirador are the algorithms running behind the scenes and the speed at which parameters can be adjusted, sorted, and browsed simultaneously.
As a simple example, let’s look at the Titanic. By adjusting outcome (i.e. “Survival”) we see how the correlation between gender and class of the passengers changes.
The best way to get started is to read the manual and open one of the examples after downloading the app from the homepage.
Last week Ben spoke at the Thomson Reuters Knowledge Worker Innovation Series. Hosted by Mona Vernon, Vice President of the Data Innovation Lab at Thomson Reuters, the series is intended to bring together innovators and entrepreneurs who are interested in understanding how knowledge work is evolving.
To name just a few topics that were covered, Ben talked about how insight can be gained from large data sources through dynamic and interactive visualizations; the integrative process the folks at Fathom use to navigate, explain, and visualize information; and how each visualization conveys the unique properties and stories of the data it represents.
Check out the full talk when you have time, or get a sneak a peak from the highlight reel. You can even make yourself some finger sandwiches to pretend you were at the real thing!
Mark first happened upon Fio in the waiting room of their kids’ piano lessons. In their shared 60 minute window each Saturday afternoon, Fio stared over Mark’s shoulder at the step-by-step development of Scaled in Miles, and in return described the biomedical applications of silk. It was only a matter of time before Mark lured Fio and one of his researchers, Benedetto Marelli, into the Fathom studio to tell us about their exciting work.
In his lab, Fio and his team have been repurposing silk for a multitude of domains. Silk fibroin, extracted from silkworm cocoons, is a unique biopolymer that’s sustainable, biodegradable, edible, safe to implant in the human body, and technological. Silk can be used as a sustainable material to preserve food, a naturally degradable means of implanting vaccines into the human body, a means of containing and preserving otherwise degradable materials and medicines (say goodbye to the modern refrigerator), a time-release ink for printing, and a myriad of other impressive applications.
Stay tuned for our upcoming developments in silk cutlery and silk-printed posters—they’re going to be huge.
In the latter half of the week, Andrés brought in a friend and active member of the Processing community, Evelyn Eastmond. Evelyn has been working as a software engineer and designer on the Scratch project at the MIT Media Lab for the last seven years. Scratch is a tool that teaches kids how to program interactive stories, games, and animations by giving them the conceptual framework they need to start coding. She’s also currently a faculty member of the Digital + Media program at RISD.
Evelyn came in to share her experience as a developer-turned-designer, or in her own words, she’s a “coder and artist interested in the elegance of abstraction both in coding, as a way to describe complex software systems, and in painting, as a way to describe a personal, visual language.” We’re also excited about the developments she’s been making in p5.js.
We closed out Evelyn’s visit (and celebrated the fourth meal of our culinary tour) with some tasty fare from a local Indian joint.
Thanks to all of our visitors for sharing their work with us, we hope you stop by again soon!
Sina Najafi, editor-in-chief of Cabinet, contacted us about including our project Colorful Language to serve as a visual explanation of the World Color Survey data, the topic of an essay in the new issue. Cabinet is a quarterly non-profit publication about art and culture based in Brooklyn, NY.
The essay, entitled “Color Primitive: Hue, language, and semantic universals”, by Josh Berson discusses the ongoing anthropological debate between “relativism” and “universalism”, or how language and thought affect each other. Color terms are studied because diverse cultures share their common existence.
Last weekend I visited the Cabinet offices and sat down to discuss the essay with Sina. While there he told me a story about acquiring some of the images.
He contacted former field worker, Thomas Headland, now Senior Anthropology Consultant at SIL International, who traveled the world collecting data from indigenous cultures in the 1980s resulting in the fascinating World Color Survey.
Sina asked him if he still had the field kit containing the 330 color chips, a thirty-year-old piece that has stood the test of time. Only then did Thomas recall that the field kit was not in his possession, as he had lent it to a friend. After some time, Thomas was able to relocate the kit and graciously sent some photos to Cabinet, but the new issue had already gone to press.
Although Cabinet wasn’t able to obtain these images in time for print, I am pleased to provide a supplement to the article by including these images below, courtesy of Thomas Headland.
As you can see, this artifact was designed to withstand the hardships of world travel, and has maintained its structure and form. Seeing the physical tool for gathering the data also puts this project into context, where sometimes field research feels hard to grasp, but I assure you this is not one of those times.
We’re excited about our recent release of NikeFuel Weather Activity, a website that connects billions of 2013 Nike+ FuelBand activity data points with localized weather data. In continuation of our study of movement patterns from the 2013 year in NikeFuel, we overlaid 2013 weather data on a map of the U.S. to see how temperature, rain, and snow impact physical activity. We’d like to take this opportunity to reflect on some of the processes that went into the design and development of the site.
Starting with a list of US zip codes, we mapped out latitude and longitude using data available from ESRI. We used that to connect each anonymized FuelBand user’s zip code to the nearest weather station that contained daily weather data.
For the personal section of the site, we used more granular data sets provided by the National Climatic Data Center (NCDE), which contained hourly temperature information. Instead of using the daily NikeFuel numbers that made up the map, we broke down personal NikeFuel into fifteen-minute intervals à la YearInNikeFuel.com. With the lookup logic for zip codes already in place, we had already completed the code needed to link individuals to the nearest NCDC weather station.
Now, let’s talk about the design
We presented the 3D map to Nike a while back, and they used it in some internal presentations. The original map was created in Processing, and output to movie files were made to work in a Keynote presentation. However, in order to make the map interactive in the browser — we wanted the state blocks to move up and down depending on the percent difference of an individual states’ NikeFuel at a selected weather, and enacted a state outline and caption to appear over the individual states upon mouse over or tap — we had to recode from scratch.
We kept all the additional UI elements as minimal as possible so that the map could be the hero element on the screen. It took many iterations before we were able to balance the amount of interactive elements and the amount of text on the screen. Images below show some of the more awkward attempts.
Early design attempt 001
Early design attempt 002
Early design attempt 003
Early design attempt 005
When we could see the clear divide between the northern and southern states at colder temperature ranges, we knew the 3D representation was an effective way to display regional stories and patterns. The individual states rising and falling based on average NikeFuel creates a sense individual state pride (or pity), as well as regional competition to see which states outperform one another under different weather conditions.
Our initial analysis looked at all the different temperature ranges as simple bar charts but, it would have been extremely inefficient to represent the data in this manner (never mind boring), because they would have essentially depicted lists of state rankings at every temperature range. The map distinguishes state and regional movement trends at every weather scenario, highlighting performance both within and between each region of the country.
The personal data section also had its share of design iterations. For those of you with Nike+ accounts, you can log in to the section of the site “What weather moves you?” to see personalized information about how the weather impacts your daily intensity levels and frequency of workouts. We initially intended the personal section to be quite simple; just showing your personal best for activity and the percent difference based on your daily average NikeFuel. It seemed a bit too basic and was greatly overshadowed by the sophistication of the interactive map. We then over corrected a bit and started to look at an individuals’ entire year of data compared to the temperature, intensity of activity and individual state comparison in one view. This seemed like a dashboard of too much information that most consumers did not want to see all at once.
We were able to balance the robustness and simplicity of the map and apply it to the personal data by breaking it out into three screens (Movement, Temperature, and Best Day). This display helps people navigate and interact with each sub story, enabling the individual to see themselves in the data.
Finally, lets talk about responsiveness and context
Balancing an interactive data visualization that works on a desktop computer and scales down to the size of your phone is no easy endeavor. We fought with this task for a while until we realized we were fighting the wrong battle. Trying to make this site work on a small screen would never work, even after setting all sorts of breakpoints in the CSS and limiting the functionality and content. It’s not the right contextual experience for a small screen like your iPhone or fabulous phablet.
We thought about some key messages we wanted to convey to our audience while on the go. What’s the weather like in my area and how does it impact activity? How does weather impact activity across the country? How do these things compare? We developed a discrete site that uses your current location to identify the weather and statewide NikeFuel activity. You can then see the overall map of the U.S. to see how trends appear while comparing them to your current local weather conditions.
In partnership with Nike, we’ve created NikeFuel Weather Activity, a website that connects 2013 Nike+ FuelBand activity with localized weather data, allowing users to see how daily temperature, rain, and snow affect personal, statewide, and national movement patterns in the U.S. The site features an interactive map that illustrates how states and regions react differently to changes in the weather. You can see, for instance, that what’s considered warm in the Midwest is still too cold for the South to get moving, or that the Rocky Mountain states are the only region to turn up their intensity in extreme heat. In addition, the site provides Nike+ FuelBand users with personalized stats and interactive graphics, so individuals can see how temperature, rain, and snow affect their minute-to-minute and daily activity patterns.
We connected minute-to-minute activity data for U.S. Nike+ FuelBand users with data from the nearest NOAA weather station. By associating each individual’s NikeFuel with the weather data most proximate to their postal code, we were able to see how regions reacted differently to varying types of weather. The Midwest improves the most as daily temperatures heat up, and the South is most negatively impacted when the cold blows in.
The map measures the percent difference of each state’s temperature-specific NikeFuel earnings from its overall average daily NikeFuel, so each state’s positive and negative changes are measured only in comparison to its own daily performance. Using the NikeFuel color scheme, low red states indicate that a state is performing far below its overall daily average, while raised green states are performing well above their overall average NikeFuel.
The site features personalized information about how the weather impacts individuals’ daily intensity levels and frequency of workouts. Nike+ FuelBand users can see the nuances between their general activity and the number of weekly workouts at each temperature range. FuelBand users can also see the weather on their “Best Day,” and find out their personal “Sweet Spot,” or the temperature at which they earn the most daily NikeFuel. To see one of our earlier projects exploring Nike+ FuelBand data, take a look at 2013 Year in NikeFuel.
We’re pretty excited about the site because it allows users to gain tangible insight on their behavioral patterns. It’s easy to assume we get the rainy day blues, or that we’re more active when temperatures warm up, but NikeFuel Weather Activity gives an honest depiction of how the weather impacts our movement. Next time you feel like chatting about the weather, talk about your movement instead; we’ve got a hunch there aren’t too many degrees of separation between the two.