VouliWatch – Empowering Democracy in Greece


Proposal at IndieGogo: “In the wake of the economic crisis and in a country where politics has all too often been beset by scandals and corruption, Vouliwatch aims to help develop an open and accountable political system that uses new digital technology to promote citizen participation in the political process and to rebuild trust in parliamentary democracy. In the heyday of Ancient Greek democracy, citizens actively participated in political dialogue, and Vouliwatch aims to revive this essential aspect of a democratic society through the use of digital technology.

How it actually works!

Vouliwatch is a digital platform that offers Greek citizens the opportunity to publicly question MPs and MEPs on the topic of their choice, and to hold their elected representatives accountable for their parliamentary activity. It is loosely modelled on similar initiatives that are already running successfully in other countries (IrelandLuxemburgTunisiaGermanyFrance and Austria)….
Crowdsourcing/bottom up approach
The platform also gives users the chance to influence political debate and to focus the attention of both the media and the politicians on issues that citizens believe are important and are not being discussed widely.Vouliwatch offers citizens the chance to share their ideas and experiences and to make proposals to parliament for political action. The community of users can then comment on and rate them. A Google map application depicts all submitted data with the option of filtering based on different criteria (location; subject categories such as e.g. education, tourism, etc.). Every 2 months all submitted data is summarized in a report and sent to all MPs by our team, as food for thought and action. Vouliwatch will then publish and promote any resulting parliamentary reaction….”

Data revolution: How the UN is visualizing the future


Kate Krukiel at Microsoft Government: “…world leaders met in New York for the 69th session of the United Nations (UN) General Assembly. Progress toward achieving the eight Millennium Development Goals (MDGs) by the December 2015 target date—just 454 days away—was top of mind. So was the post-2015 agenda, which will pick up where the MDGs leave off. Ahead of the meetings, the UN Millennium Campaign asked Microsoft to build real-time visualizations of the progress on each goal—based on data spanning 21 targets, 60 indicators, and about 190 member countries. With the data visualizations we created (see them at http://www.mdgleaders.org/), UN and global leaders can decide where to focus in the next 15 months and, more importantly, where change needs to happen post-2015. Their experience offers three lessons for governments:

1. Data has a shelf life.

Since the MDGs were launched in 2000, the UN has relied on annual reports to assess its progress. But in August, UN Secretary-General Ban Ki-moon called for a “data revolution for sustainable development”, which in effect makes real-time data visualization a requirement, not just for tracking the MDGs, but for everything from Ebola to climate change….

2.Governments need visualization tools.

Just as the UN is using data visualization to track its progress and plan for the future, you can use the technology to better understand the massive amounts of data you collect—on everything from water supply and food prices to child mortality and traffic jams. Data visualization technology makes it possible to pull insights from historical data, develop forecasts, and spot gaps in your data far easier than you can with raw data. As they say, a picture is worth a thousand words. To get a better idea of what’s possible, check out the MDG visualizations Microsoft created for the UN using our Power BI tool.

3.The private sector can help.

The UN called on the private sector to assist in determining the exact MDG progress and inspire ongoing global efforts. …

Follow the UN’s lead and join the #datarevolution now, if you haven’t already. It’s an opportunity to work across silos and political boundaries to address the world’s most pressing problems. It takes citizens’ points of view into account through What People Want. And it extends to the private sector, where expertise in using technology to create a sustainable future already exists. I encourage all government leaders to engage. To follow where the UN takes its revolution, watch for updates on the Data Revolution Group website or follow them on Twitter @data_rev….”

The View From Your Window Is Worth Cash to This Company


Eric Jaffe in Atlantic CityLab: “A city window overlooking the street has always been a score in its own right, what with so many apartments stuck opening onto back alleys and dumpsters and fire escapes. And now, a company wants to straight up monetize the view. New York startup Placemeter is paying city residents up to $50 a month for street views captured via old smartphones. The idea is to quantify sidewalk life in the service of making the city a more efficient place.

“Measuring data about how the city moves in real time, being able to make predictions on that, is definitely a good way to help cities work better,” says founder Alex Winter. “That’s the vision of Placemeter—to build a data platform where anyone at any time can know how busy the city is, and use that.”
Here’s how it works: City residents send Placemeter a little information about where they live and what they see from their window. In turn, Placemeter sends participants a kit (complete with window suction cup) to convert their unused smartphone into a street sensor, and agrees to pay cash so long as the device stays on and collects data. The more action outside—the more shops, pedestrians, traffic, and public space—the more the view is worth.
On the back end, Placemeter converts the smartphone images into statistical data using proprietary computer vision. The company first detects moving objects (the green splotches in the video below) and classifies them either as people or as 11 types of vehicles or other common urban elements, such as food carts. A second layer of analysis connects this movement with behavioral patterns based on the location—how many cars are speeding down a street, for instance, or how many people are going into a store….
Efforts to quantify city life with big data aren’t new, but where Placemeter’s clear advance is its ability to count pedestrians. Cities often track sidewalk traffic with little more than a hired hand and a manual clicker and spot locations. With its army of smartphone eyes, Placemeter promises a much wider net of real-time data dynamic enough to recognize not only that a person exists but also that person’s behavior, from walking speed to retail interest to general interaction with streets or public spaces…”

Forget GMOs. The Future of Food Is Data—Mountains of It


Cade Metz at Wired: “… Led by Dan Zigmond—who previously served as chief data scientist for YouTube, then Google Maps—this ambitious project aims to accelerate the work of all the biochemists, food scientists, and chefs on the first floor, providing a computer-generated shortcut to what Hampton Creek sees as the future of food. “We’re looking at the whole process,” Zigmond says of his data team, “trying to figure out what it all means and make better predictions about what is going to happen next.”

The project highlights a movement, spreading through many industries, that seeks to supercharge research and development using the kind of data analysis and manipulation pioneered in the world of computer science, particularly at places like Google and Facebook. Several projects already are using such techniques to feed the development of new industrial materials and medicines. Others hope the latest data analytics and machine learning techniques can help diagnosis disease. “This kind of approach is going to allow a whole new type of scientific experimentation,” says Jeremy Howard, who as the president of Kaggle once oversaw the leading online community of data scientists and is now applying tricks of the data trade to healthcare as the founder of Enlitic.
Zigmond’s project is the first major effort to apply “big data” to the development of food, and though it’s only just getting started—with some experts questioning how effective it will be—it could spur additional research in the field. The company may license its database to others, and Hampton Creek founder and CEO Josh Tetrick says it may even open source the data, so to speak, freely sharing it with everyone. “We’ll see,” says Tetrick, a former college football linebacker who founded Hampton Creek after working on economic and social campaigns in Liberia and Kenya. “That would be in line with who we are as a company.”…
Initially, Zigmond and his team will model protein interactions on individual machines, using tools like the R programming language (a common means of crunching data) and machine learning algorithms much like those that recommend products on Amazon.com. As the database expands, they plan to arrange for much larger and more complex models that run across enormous clusters of computer servers, using the sort of sweeping data-analysis software systems employed by the likes of Google. “Even as we start to get into the tens and hundreds of thousands and millions of proteins,” Zigmond says, “it starts to be more than you can handle with traditional database techniques.”
In particular, Zigmond is exploring the use of deep learning, a form of artificial intelligence that goes beyond ordinary machine learning. Google is using deep learning to drive the speech recognition system in Android phones. Microsoft is using it to translate Skype calls from one language to another. Zigmond believes it can help model the creation of new foods….”

Redesigning that first encounter with online government


Nancy Scola in the Washington Post: “Teardowns,” Samuel Hulick calls them, and by that he means his step-by-step dissections of how some of world’s most popular digital services — Gmail, Evernote, Instragram — welcome new users. But the term might give an overly negative sense of what Hulick is up to. The Portland, Ore., user-experience designer highlights both the good and bad in his critiques, and his annotated slideshows, under the banner of UserOnboard, have gained a following among design aficionados.

Now Hulick is partnering with two of those fans, a pair of Code for America fellows, to encourage the public to do the same for, say, the process of applying for food stamps.  It’s called CitizenOnboard.
Using the original UserOnboard is like taking a tour through some of the digital sites you know best — but with an especially design-savvy friend by your side pointing out the kinks. “The user experience,” or UX on these sites, “is often tacked on haphazardly,” says Hulick, who launched UserOnboard in December 2013 and who is also the author of the recent book “The Elements of User Onboarding.” What’s he looking for in a good UX, he says, is something non-designers can spot, too. “If you were the Web site, what tone would you take? How would you guide people through your process?”
Hulick reviews what’s working and what’s not, and adds a bit of sass: Gmail pre-populates its inbox with a few welcome messages: “Preloading some emails is a nice way to deal with the ‘cold start’ problem,” Hulick notes. Evernote nudges new users to check out its blog and other apps: “It’s like a restaurant rolling out the dessert cart while I’m still trying to decide if I even want to eat there.” Instagram’s first backdrop is a photo of someone taking a picture: “I’m learning how to Instagram by osmosis!”….
CitizenOnboard’s pitch is to get the public to do that same work. They suggest starting with state food stamp programs. Hulick tackled his. The onboarding for Oregon’s SNAP service is 118 slides long, but that’s because there is much to address. In one step, applications must, using a drop-down menu, identify how those in their family are related to one another. “It took a while to figure out who should be the relation ‘of’ the other,” Hulick notes in his teardown. “In fact, I’m still not 100% sure I got it right.”…”

Ants Are Cool but Teach Us Nothing


in Bloomberg View: “…For nearly seven decades, starting in boyhood, I’ve studied hundreds of kinds of ants around the world, and this qualifies me, I believe, to offer some advice on ways their lives can be applied to ours. I’ll start with the question I’m most often asked: “What can I do about the ants in my kitchen?” My response comes from the heart: Watch your step, be careful of little lives. Ants especially like honey, tuna and cookie crumbs. So put down bits of those on the floor, and watch as the first scout finds the bait and reports back to her colony by laying an odor trail. Then, as a little column follows her out to the food, you will see social behavior so strange it might be on another planet. Think of kitchen ants not as pests or bugs, but as your personal guest superorganism.
Another question I hear a lot is, “What can we learn of moral value from the ants?” Here again I will answer definitively: nothing. Nothing at all can be learned from ants that our species should even consider imitating. For one thing, all working ants are female. Males are bred and appear in the nest only once a year, and then only briefly. They are pitiful creatures with wings, huge eyes, small brains and genitalia that make up a large portion of their rear body segment. They have only one function in life: to inseminate the virgin queens during the nuptial season. They are built to be robot flying sexual missiles. Upon mating or doing their best to mate, they are programmed to die within hours, usually as victims of predators.
Many kinds of ants eat their dead — and their injured, too. You may have seen ant workers retrieve nestmates that you have mangled or killed underfoot (accidentally, I hope), thinking it battlefield heroism. The purpose, alas, is more sinister.
As ants grow older, they spend more time in the outermost chambers and tunnels of the nest, and are more prone to undertake dangerous foraging trips. They also are the first to attack enemy ants and other intruders. Here indeed is a major difference between people and ants: While we send our young men to war, ants send their old ladies.
The most complex societies of all ant species, and arguably of all animals everywhere, are the leafcutters of the American tropics. In lowland forests and grasslands from Mexico to South America, you find conspicuous long files of reddish ants. Many carry freshly cut pieces of leaves, flowers and twigs. The ants don’t eat this vegetation. They carry it deep into their nests, where they convert it into complex, spongelike structures. On this substrate they grow a fungus, which they do eat. The entire process employs a sequence of specialists: The leafcutters in the field are medium in size. As they head home with their burdens, tiny sister ant workers ride on their backs to protect them from parasitic phorid flies. Inside the nest, workers somewhat smaller than the gatherers scissor the leaf fragments into pieces. Still smaller ants chew the fragments into lumps and add their own fecal material as fertilizer. Even smaller workers use the gooey lumps thus created to construct the gardens. And workers as small as the fly guards plant and tend the fungus.
The largest caste of leafcutter ants have razor-sharp mandibles and the adductor muscles to close them with enough force to slice mammalian skin. These soldiers defend the nest against the most dangerous predators, including anteaters.
Species that have been able to evolve superorganismic colonies — almost purely on the basis of instinct — have as a whole been enormously successful. The 20,000 or so known species of social insects make up only 2 percent of the million known species of insects but three-fourths of the insect biomass.
With complexity, however, comes vulnerability, and that brings me to one of the other superorganism superstars, the domestic honeybee. When disease strikes solitary animals that we have embraced in symbiosis, such as chickens, pigs and dogs, veterinarians can usually diagnose and fix the problem. Honeybees, on the other hand, have by far the most complex lives of all our domestic partners. There are a great many more twists and turns in their adaptation to their environment that, upon failing, can damage some part of the colony life cycle. The intractability thus far of the honeybee colony collapse disorder of Europe and North America, which threatens so much of crop pollination, may represent an intrinsic weakness of superorganisms.
You may occasionally hear human societies described as superorganisms. This is a bit of a stretch. It is true that we form societies dependent on cooperation, labor specialization and frequent acts of altruism. But where social insects are ruled almost entirely by instinct, we base labor division on transmission of culture. Also, unlike social insects, we are too selfish to behave like cells in an organism. Human beings seek their own destiny. They will always revolt against slavery, and refuse to be treated like worker ants.”

Bridging the Knowledge Gap: In Search of Expertise


New paper by Beth Simone Noveck, The GovLab, for Democracy: “In the early 2000s, the Air Force struggled with a problem: Pilots and civilians were dying because of unusual soil and dirt conditions in Afghanistan. The soil was getting into the rotors of the Sikorsky UH-60 helicopters and obscuring the view of its pilots—what the military calls a “brownout.” According to the Air Force’s senior design scientist, the manager tasked with solving the problem didn’t know where to turn quickly to get help. As it turns out, the man practically sitting across from him had nine years of experience flying these Black Hawk helicopters in the field, but the manager had no way of knowing that. Civil service titles such as director and assistant director reveal little about skills or experience.
In the fall of 2008, the Air Force sought to fill in these kinds of knowledge gaps. The Air Force Research Laboratory unveiled Aristotle, a searchable internal directory that integrated people’s credentials and experience from existing personnel systems, public databases, and users themselves, thus making it easy to discover quickly who knew and had done what. Near-term budgetary constraints killed Aristotle in 2013, but the project underscored a glaring need in the bureaucracy.
Aristotle was an attempt to solve a challenge faced by every agency and organization: quickly locating expertise to solve a problem. Prior to Aristotle, the DOD had no coordinated mechanism for identifying expertise across 200,000 of its employees. Dr. Alok Das, the senior scientist for design innovation tasked with implementing the system, explained, “We don’t know what we know.”
This is a common situation. The government currently has no systematic way of getting help from all those with relevant expertise, experience, and passion. For every success on Challenge.gov—the federal government’s platform where agencies post open calls to solve problems for a prize—there are a dozen open-call projects that never get seen by those who might have the insight or experience to help. This kind of crowdsourcing is still too ad hoc, infrequent, and unpredictable—in short, too unreliable—for the purposes of policy-making.
Which is why technologies like Aristotle are so exciting. Smart, searchable expert networks offer the potential to lower the costs and speed up the process of finding relevant expertise. Aristotle never reached this stage, but an ideal expert network is a directory capable of including not just experts within the government, but also outside citizens with specialized knowledge. This leads to a dual benefit: accelerating the path to innovative and effective solutions to hard problems while at the same time fostering greater citizen engagement.
Could such an expert-network platform revitalize the regulatory-review process? We might find out soon enough, thanks to the Food and Drug Administration…”

How Local Governments Can Use Instameets to Promote Citizen Engagement


Chris Shattuck at Arc3Communications: “With more than 200 million active monthly users, Instagram reports that it shares more than 20 million photos every day with a combined average of 1.6 billion likes.
Instagram engagement is also more than 15 times that of Facebook with a user base that is predominately young, female and affluent, according to a recent report by L2, a think tank for digital innovation.
Therefore, it’s no wonder that 92 percent of prestige brands prominently incorporate Instagram into their social media strategies, according to the same report.
However, many local governments have been slow to adopt this rapidly maturing platform, even though many of their constituents are already actively using it.
So how can local governments utilize the power of Instagram to promote citizen engagement that is still organic and social?
Creating Instameets to promote local government events, parks, civic landmarks and institutional buildings may be part of that answer.
Once an Instagram meetup community is created for a city any user can suggest a “meet-up” where members get together at a set place, date and time to snap away at a landmark, festival, or other event of note – preferably with a unique hashtag so that photos can be easily shared.
For example, where other marketing efforts to brand the City of Atlanta failed, #weloveatl has become a popular, organic hashtag that crosses cultural and economic boundaries for photographers looking to share their favorite things about Atlanta and benefit the Atlanta Community Food Bank.
And in May, users were able to combine that energy with a worldwide Instameet campaign to photograph Streets Alive Atlanta, a major initiative by the Atlanta Bicycle Coalition.
This organic collaboration provides a unique example for local governments seeking to promote their cities and use Instameets….”

What Is Big Data?


datascience@berkeley Blog: ““Big Data.” It seems like the phrase is everywhere. The term was added to the Oxford English Dictionary in 2013 External link, appeared in Merriam-Webster’s Collegiate Dictionary by 2014 External link, and Gartner’s just-released 2014 Hype Cycle External link shows “Big Data” passing the “Peak of Inflated Expectations” and on its way down into the “Trough of Disillusionment.” Big Data is all the rage. But what does it actually mean?
A commonly repeated definition External link cites the three Vs: volume, velocity, and variety. But others argue that it’s not the size of data that counts, but the tools being used, or the insights that can be drawn from a dataset.
To settle the question once and for all, we asked 40+ thought leaders in publishing, fashion, food, automobiles, medicine, marketing and every industry in between how exactly they would define the phrase “Big Data.” Their answers might surprise you! Take a look below to find out what big data is:

  1. John Akred, Founder and CTO, Silicon Valley Data Science
  2. Philip Ashlock, Chief Architect of Data.gov
  3. Jon Bruner, Editor-at-Large, O’Reilly Media
  4. Reid Bryant, Data Scientist, Brooks Bell
  5. Mike Cavaretta, Data Scientist and Manager, Ford Motor Company
  6. Drew Conway, Head of Data, Project Florida
  7. Rohan Deuskar, CEO and Co-Founder, Stylitics
  8. Amy Escobar, Data Scientist, 2U
  9. Josh Ferguson, Chief Technology Officer, Mode Analytics
  10. John Foreman, Chief Data Scientist, MailChimp

FULL LIST at datascience@berkeley Blog”

In democracy and disaster, emerging world embraces 'open data'


Jeremy Wagstaff’ at Reuters: “Open data’ – the trove of data-sets made publicly available by governments, organizations and businesses – isn’t normally linked to high-wire politics, but just may have saved last month’s Indonesian presidential elections from chaos.
Data is considered open when it’s released for anyone to use and in a format that’s easy for computers to read. The uses are largely commercial, such as the GPS data from U.S.-owned satellites, but data can range from budget numbers and climate and health statistics to bus and rail timetables.
It’s a revolution that’s swept the developed world in recent years as governments and agencies like the World Bank have freed up hundreds of thousands of data-sets for use by anyone who sees a use for them. Data.gov, a U.S. site, lists more than 100,000 data-sets, from food calories to magnetic fields in space.
Consultants McKinsey reckon open data could add up to $3 trillion worth of economic activity a year – from performance ratings that help parents find the best schools to governments saving money by releasing budget data and asking citizens to come up with cost-cutting ideas. All the apps, services and equipment that tap the GPS satellites, for example, generate $96 billion of economic activity each year in the United States alone, according to a 2011 study.
But so far open data has had a limited impact in the developing world, where officials are wary of giving away too much information, and where there’s the issue of just how useful it might be: for most people in emerging countries, property prices and bus schedules aren’t top priorities.
But last month’s election in Indonesia – a contentious face-off between a disgraced general and a furniture-exporter turned reformist – highlighted how powerful open data can be in tandem with a handful of tech-smart programmers, social media savvy and crowdsourcing.
“Open data may well have saved this election,” said Paul Rowland, a Jakarta-based consultant on democracy and governance…”