Open Dialogue on Improving How to Do Business with the Federal Government

Curated on Posted on by Stefaan Verhulst
CIO Council: “We are looking for ideas on how to streamline and make other improvements in the way businesses of all sizes work for and with the U.S. Federal government.
(Deadline for participation – May 5, 2014.)

The purpose of the dialogue is to discuss improvements to the Federal contracting process. Through this platform, we will gather ideas and proposed improvements that can be accomplished through executive (regulatory, administrative, or management) action, as well as potential legislative proposals (new laws). The open dialogue is focused around three topics (campaigns). Each campaign is a unique aspect of the Federal contracting process for which we welcome your insight, ideas, and feedback.
Please remember to check back frequently to comment on or share thoughts on emerging ideas and identify those you believe to be most impactful.

  • Currently, the Federal Government requires businesses to fill out a lot of complicated paperwork to do business with us. We know we can do better. We want to know what you are seeing – where can we reengineer paperwork and systems, eliminate duplicative reporting, reduce the frequency of reporting, and/or change outdated requirements?

  • We know entities doing business in the private sector have best practices and we’re anxious to learn about and replicate in the Federal Government wherever possible. We want to hear about innovative approaches to contracting that align with your business practices.

  • We know many businesses lack the resources and expertise to participate in the Federal marketplace. We welcome feedback – especially by entities that are not participating in Federal contracting – to understand what steps we can take to make your participation possible.”

UK Department of Health: Citizen Space

Curated on Posted on by Stefaan Verhulst

at the UK Department of Health: “We recently ran a survey of our internal DH Citizen Space users. Citizen Space is the digital tool that DH and a number of other local and central Government Departments use to run their consultations.
Overall, our survey results were positive with staff reporting they had found the tool relatively easy to use and access. The survey did flag some internal issues eg. visibility of the tool in the Department, minor technical issues etc, which we’re planning to address through better promotion of Citizen Space and training, but on the whole our internal user experience seemed to be good.
However, there was one area where internal users did seem to be experiencing problems, and ironically it wasn’t with the tool itself. Many of our survey respondents seemed to be struggling with the analysis of their consultation responses, with some teams even questioning the usefulness of the data they were amassing from their digital consultations.
Some common mistakes
To help us get to the bottom of what was going on, we contacted some of our respondents and met with some consultation teams to talk about how they design, run and analyse the responses from their digital consultations. We found some common mistakes:

  • Not thinking ‘digital first’ – not designing consultations with a digital audience and digital responses in mind. Eg. writing consultations for print and then trying to shoehorn them into a digital tool
  • Not identifying what ‘real’ success means for a consultation before launching it or not putting in place the metrics needed to measure for success. Eg. not setting benchmarks, not measuring qualitative data or not identifying key target audiences and how to reach them.
  • Not thinking about the type and/or amount of data that will be returned and planning resources and tools accordingly. Eg. asking lots of free-text questions and then drowning in responses

As a team, we are trying to address many of these issues by improving the way the Department approaches and designs its digital consultations. The next iteration of our Digital policymaking toolkit, which will combine a new set of Policy Standards with our digital tools, techniques and advice for policymakers, should help. Alongside other work our team is doing to build up digital capability in the department and to produce analytical tools for data mining and sentiment analysis that will help teams with free-text analysis.
…how to use or build a consultation in Citizen Space, you can find one of those in the Citizen Space User Guide and further guides and user forums on the Citizen Space Knowledge Base website.

The Right Colors Make Data Easier To Read

Curated on Posted on by Stefaan Verhulst

Sharon Lin And Jeffrey Heer at HBR Blog: “What is the color of money? Of love? Of the ocean? In the United States, most people respond that money is green, love is red and the ocean is blue. Many concepts evoke related colors — whether due to physical appearance, common metaphors, or cultural conventions. When colors are paired with the concepts that evoke them, we call these “semantically resonant color choices.”
Artists and designers regularly use semantically resonant colors in their work. And in the research we conducted with Julie Fortuna, Chinmay Kulkarni, and Maureen Stone, we found they can be remarkably important to data visualization.
Consider these charts of (fictional) fruit sales:
fruitcharts
The only difference between the charts is the color assignment. The left-hand chart uses colors from a default palette. The right-hand chart has been assigned semantically resonant colors. (In this case, the assignment was computed automatically using an algorithm that analyzes the colors in relevant images retrieved from Google Image Search using queries for each data category name.)
Now, try answering some questions about the data in each of these charts. Which fruit had higher sales: blueberries or tangerines? How about peaches versus apples? Which chart do you find easier to read?…
To make effective visualization color choices, you need to take a number of factors into consideration. To name just two: All the colors need to be suitably different from one another, for instance, so that readers can tell them apart – what’s called “discriminability.” You also need to consider what the colors look like to the color blind — roughly 8% of the U.S. male population! Could the colors be distinguished from one another if they were reprinted in black and white?
One easy way to assign semantically resonant colors is to use colors from an existing color palette that has been carefully designed for visualization applications (ColorBrewer offers some options) but assign the colors to data values in a way that best matches concept color associations. This is the basis of our own algorithm, which acquires images for each concept and then analyzes them to learn concept color associations. However, keep in mind that color associations may vary across cultures. For example, in the United States and many western cultures, luck is often associated with green (four-leaf clovers), while red can be considered a color of danger. However, in China, luck is traditionally symbolized with the color red.
…
Semantically resonant colors can reinforce perception of a wide range of data categories. We believe similar gains would likely be seen for other forms of visualizations like maps, scatterplots, and line charts. So when designing visualizations for presentation or analysis, consider color choice and ask yourself how well the colors resonate with the underlying data.”

Twenty-one European Cities Advance in Bloomberg Philanthropies' Mayors Challenge Competition to Create Innovative Solutions to Urban Challenges

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Press Release: “Bloomberg Philanthropies today revealed the 21 European cities that have emerged as final contenders in its 2013-2014 Mayors Challenge, a competition to inspire cities to generate innovative ideas that solve major challenges and improve city life, and that ultimately can spread to other cities. One grand prize winner will receive €5 million for the most creative and transferable idea. Four additional cities will be awarded €1 million, and all will be announced in the fall. The finalists’ proposed solutions address some of Europe’s most critical issue areas: youth unemployment, aging populations, civic engagement, economic development, environment and energy concerns, public health and safety, and making government more efficient…
James Anderson, the head of government innovation for Bloomberg Philanthropies, said: “While the ideas are very diverse, we identified key themes. The ideas tended toward networked, distributed solutions as opposed to costly centralized ones. There was a lot of interest in citizen engagement as both a means and end. Technology that concretely and positively affects the lives of individual citizens – from the blind person in Warsaw to the unemployed youth in Amsterdam to the homeowner in Schaerbeek — also played a significant role.”
Bloomberg Philanthropies staff and an independent selection committee of 12 members from across Europe closely considered each application over multiple rounds of review, culminating in feedback and selection earlier this month, resulting in 21 cities’ ideas moving forward for further development. The submissions will be judged on four critieria: vision, potential for impact, implementation plan, and potential to spread to other cities. The finalists and their ideas are:

  1. AMSTERDAM, Netherlands – Youth Unemployment: Tackling widespread youth unemployment by equipping young people with 21st century skills and connecting them with jobs and apprenticeships across Europe through an online game
  2. ATHENS, Greece – Civic Engagement: Empowering citizens with a new online platform to address the large number of small-scale urban challenges accelerated by the Greek economic crisis
  3. BARCELONA, Spain – Aging: Improving quality of life and limiting social isolation by establishing a network of public and private support – including family, friends, social workers, and volunteers – for each elderly citizen
  4. BOLOGNA, Italy – Youth Unemployment: Building an urban scale model of informal education labs and civic engagement to prevent youth unemployment by teaching children aged 6-16 entrepreneurship and 21st century skills
  5. BRISTOL, United Kingdom – Health/Anti-obesity: Tackling obesity and unemployment by creating a new economic system that increases access to locally grown, healthy foods
  6. BRNO, Czech Republic – Public Safety/Civic Engagement: Engaging citizens in keeping their own communities safe to build social cohesion and reduce crime
  7. CARDIFF, United Kingdom – Economic Development: Increasing productivity little by little in residents’ personal and professional lives, so that a series of small improvements add up to a much more productive city
  8. FLORENCE, Italy – Economic Development: Combatting unemployment with a new economic development model that combines technology and social innovation, targeting the city’s historic artisan and maker community
  9. GDAŃSK, Poland – Civic Engagement: Re-instilling faith in local democracy by mandating that city government formally debate local issues put forward by citizens
  10. KIRKLEES, United Kingdom – Social Capital: Pooling the city and community’s idle assets – from vehicles to unused spaces to citizens’ untapped time and expertise – to help the area make the most of what it has and do more with less
  11. KRAKOW, Poland – Transportation: Implementing smart, personalized transportation incentives and a seamless and unified public transit payment system to convince residents to opt for greener modes of transportation
  12. LISBON, Portugal – Energy: Transforming wasted kinetic energy generated by the city’s commuting traffic into electricity, reducing the carbon footprint and increasing environmental sustainability
  13. LONDON, United Kingdom – Public Health: Empowering citizens to monitor and improve their own health through a coordinated, multi-stakeholder platform and new technologies that dramatically improve quality of life and reduce health care costs
  14. MADRID, Spain – Energy: Diversifying its renewable energy options by finding and funding the best ways to harvest underground power, such as wasted heat generated by the city’s below-ground infrastructure
  15. SCHAERBEEK, Belgium – Energy: Using proven flyover and 3D geothermal mapping technology to provide each homeowner and tenant with a personalized energy audit and incentives to invest in energy-saving strategies
  16. SOFIA, Bulgaria – Civic Engagement: Transforming public spaces by deploying mobile art units to work side-by-side with local residents, re-envisioning and rejuvenating underused spaces and increasing civic engagement
  17. STARA ZAGORA, Bulgaria – Economic Development: Reversing the brain-drain of the city’s best and brightest by helping young entrepreneurs turn promising ideas into local high-tech businesses
  18. STOCKHOLM, Sweden – Environment: Combatting climate change by engaging citizens to produce biochar, an organic material that increases tree growth, sequesters carbon, and purifies storm runoff
  19. THE HAGUE, Netherlands – Civic Engagement: Enabling citizens to allocate a portion of their own tax money to support the local projects they most believe in
  20. WARSAW, Poland – Transportation/Accessibility: Enabling the blind and visually impaired to navigate the city as easily as their sighted peers by providing high-tech auditory alerts which will save them travel time and increase their independence
  21. YORK, United Kingdom – Government Systems: Revolutionizing the way citizens, businesses, and others can propose new ideas to solve top city problems, providing a more intelligent way to acquire or develop the best solutions, thus enabling greater civic participation and saving the city both time and money

Further detail and related elements for this year’s Mayors Challenge can be found via: http://mayorschallenge.bloomberg.org/”

Can Government Play Moneyball?

Curated on Posted on by Stefaan Verhulst

David Bornstein in the New York Times: “…For all the attention it’s getting inside the administration, evidence-based policy-making seems unlikely to become a headline grabber; it lacks emotional appeal. But it does have intellectual heft. And one group that has been doing creative work to give the message broader appeal is Results for America, which has produced useful teaching aids under the banner “Moneyball for Government,” building on the popularity of the book and movie about Billy Beane’s Oakland A’s, and the rise of data-driven decision making in major league baseball. (Watch their video explainers here and here.)
Results for America works closely with leaders across political parties and social sectors, to build awareness about evidence-based policy making — drawing attention to key areas where government could dramatically improve people’s lives by augmenting well-tested models. They are also chronicling efforts by local governments around the country, to show how an emerging group of “Geek Cities,” including Baltimore, Denver, Miami, New York, Providence and San Antonio, are using data and evidence to drive improvements in various areas of social policy like education, youth development and employment.
“It seems like common sense to use evidence about what works to get better results,” said Michele Jolin, Results for America’s managing partner. “How could anyone be against it? But the way our system is set up, there are so many loud voices pushing to have dollars spent and policy shaped in the way that works for them. There has been no organized constituency for things that work.”
“The debate in Washington is usually about the quantity of resources,” said David Medina, a partner in Results for America. “We’re trying to bring it back to talking about quality.”
Not everyone will find this change appealing. “When you have a longstanding social service policy, there’s going to be a network of [people and groups] who are organized to keep that money flowing regardless of whether evidence suggests it’s warranted,” said Daniel Stid. “People in social services don’t like to think they’re behaving like other organized interests — like dairy farmers or mortgage brokers — but it leads to tremendous inertia in public policy.”
Beyond the politics, there are practical obstacles to overcome, too. Federal agencies lack sufficient budgets for evaluation or a common definition for what constitutes rigorous evidence. (Any lobbyist can walk into a legislator’s office and claim to have solid data to support an argument.) Up-to-date evidence also needs to be packaged in accessible ways and made available on a timely basis, so it can be used to improve programs, rather than to threaten them. Governments need to build regular evaluations into everything they do — not just conduct big, expensive studies every 10 years or so.
That means developing new ways to conduct quick and inexpensive randomized studies using data that is readily available, said Haskins, who is investigating this approach. “We should be running 10,000 evaluations a year, like they do in medicine.” That’s the only way to produce the rapid trial-and-error learning needed to drive iterative program improvements, he added. (I reported on a similar effort being undertaken by the Coalition for Evidence-Based Policy.)
Results for America has developed a scorecard to rank federal departments about how prepared they are to produce or incorporate evidence in their programs. It looks at whether a department has an office and a leader with the authority and budget to evaluate its programs. It asks: Does it make its data accessible to the public? Does it compile standards about what works and share them widely? Does it spend at least 1 percent of its budget evaluating its programs? And — most important — does it incorporate evidence in its big grant programs? For now, the Department of Education gets the top score.
The stakes are high. In 2011, for example, the Obama administration launched a process to reform Head Start, doing things like spreading best practices and forcing the worst programs to improve or lose their funding. This February, for the third time, the government released a list of Head Start providers (103 out of about 1,600) who will have to recompete for federal funding because of performance problems. That list represents tens of thousands of preschoolers, many of whom are missing out on the education they need to succeed in kindergarten — and life.
Improving flagship programs like Head Start, and others, is not just vital for the families they serve; it’s vital to restore trust in government. “I am a card-carrying member of the Republican Party and I want us to be governed well,” said Robert Shea, who pushed for better program evaluations as associate director of the Office of Management and Budget during the Bush administration, and continues to focus on this issue as chairman of the National Academy of Public Administration. “This is the most promising thing I know of to get us closer to that goal.”
“This idea has the prospect of uniting Democrats and Republicans,” said Haskins. “But it will involve a broad cultural change. It has to get down to the program administrators, board members and local staff throughout the country — so they know that evaluation is crucial to their operations.”
“There’s a deep mistrust of government and a belief that problems can’t be solved,” said Michele Jolin. “This movement will lead to better outcomes — and it will help people regain confidence in their public officials by creating a more effective, more credible way for policy choices to be made.”

Passage Of The DATA Act Is A Major Advance In Government Transparency

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OpEd by Hudson Hollister in Forbes: “Even as the debate over official secrecy grows on Capitol Hill, basic information about our government’s spending remains hidden in plain sight.
Information that is technically public — federal finance, awards, and expenditures — is effectively locked within a disconnected disclosure system that relies on outdated paper-based technology. Budgets, grants, contracts, and disbursements are reported manually and separately, using forms and spreadsheets. Researchers seeking insights into federal spending must invest time and resources crafting data sets out of these documents. Without common data standards across all government spending, analyses of cross-agency spending trends require endless conversions of apples to oranges.
For a nation whose tech industry leads the world, there is no reason to allow this antiquated system to persist.
That’s why we’re excited to welcome Thursday’s unanimous Senate approval of the Digital Accountability and Transparency Act — known as the DATA Act.
The DATA Act will mandate government-wide standards for federal spending data. It will also require agencies to publish this information online, fully searchable and open to everyone.
Watchdogs and transparency advocates from across the political spectrum have endorsed the DATA Act because all Americans will benefit from clear, accessible information about how their tax dollars are being spent.
It is darkly appropriate that the only organized opposition to this bill took place behind closed doors. In January, Senate sponsors Mark Warner (D-VA) and Rob Portman (R-OH) rejected amendments offered privately by the White House Office of Management and Budget. These nonpublic proposals would have gutted the DATA Act’s key data standards requirement. But Warner and Portman went public with their opposition, and Republicans and Democrats agreed to keep a strong standards mandate.
We now await swift action by the House of Representatives to pass this bill and put it on the President’s desk.
The tech industry is already delivering the technology and expertise that will use federal spending data, once it is open and standardized, to solve problems.
If the DATA Act is fully enforced, citizens will be able to track government spending on a particular contractor or from a particular program, payment by payment. Agencies will be able to deploy sophisticated Big Data analytics to illuminate, and eliminate, waste and fraud. And states and universities will be able to automate their complex federal grant reporting tasks, freeing up more tax dollars for their intended use. Our industry can perform these tasks — as soon as we get the data.
Chairman Earl Devaney’s Recovery Accountability and Transparency Board proved this is possible. Starting in 2009, the Recovery Board applied data standards to track stimulus spending. Our members’ software used that data to help inspectors general prevent and recover over $100 million in spending on suspicious grantees and contractors. The DATA Act applies that approach across the whole of government spending.
Congress is now poised to pass this landmark legislative mandate to transform spending from disconnected documents into open data. Next , the executive branch must implement that mandate.
So our Coalition’s work continues. We will press the Treasury Department and the White House to adopt robust, durable, and nonproprietary data standards for federal spending.
And we won’t stop with spending transparency. The American people deserve access to open data across all areas of government activity — financial regulatory reporting, legislative actions, judicial filings, and much more….”

The Open Data 500: Putting Research Into Action

Curated on Posted on by Stefaan Verhulst

TheGovLab Blog: “On April 8, the GovLab made two significant announcements. At an open data event in Washington, DC, I was pleased to announce the official launch of the Open Data 500, our study of 500 companies that use open government data as a key business resource. We also announced that the GovLab is now planning a series of Open Data Roundtables to bring together government agencies with the businesses that use their data – and that five federal agencies have agreed to participate. Video of the event, which was hosted by the Center for Data Innovation, is available here.
The Open Data 500, funded by the John S. and James L. Knight Foundation, is the first comprehensive study of U.S.-based companies that rely on open government data.  Our website at OpenData500.com includes searchable, sortable information on 500 of these companies.  Our data about them comes from responses to a survey we’ve sent to all the companies (190 have responded) and what we’ve been able to learn from research using public information.  Anyone can now explore this website, read about specific companies or groups of companies, or download our data to analyze it. The website features an interactive tool on the home page, the Open Data Compass, that shows the connections between government agencies and different categories of companies visually.
We began work on the Open Data 500 study last fall with three goals. First, we wanted to collect information that will ultimately help calculate the economic value of open data – an important question for policymakers and others. Second, we wanted to present examples of open data companies to inspire others to use this important government resource in new ways. And third – and perhaps most important – we’ve hoped that our work will be a first step in creating a dialogue between the government agencies that provide open data and the companies that use it.
That dialogue is critically important to make government open data more accessible and useful. While open government data is a huge potential resource, and federal agencies are working to make it more available, it’s too often trapped in legacy systems that make the data difficult to find and to use. To solve this problem, we plan to connect agencies to their clients in the business community and help them work together to find and liberate the most valuable datasets.
We now plan to convene and facilitate a series of Open Data Roundtables – a new approach to bringing businesses and government agencies together. In these Roundtables, which will be informed by the Open Data 500 study, companies and the agencies that provide their data will come together in structured, results-oriented meetings that we will facilitate. We hope to help figure out what can be done to make the most valuable datasets more available and usable quickly.
We’ve been gratified by the immediate positive response to our plan from several federal agencies. The Department of Commerce has committed to help plan and participate in the first of our Roundtables, now being scheduled for May. By the time we announced our launch on April 8, the Departments of Labor, Transportation, and Treasury had also signed up. And at the end of the launch event, the Deputy Chief Information Officer of the USDA publicly committed her agency to participate as well…”

Historic release of data delivers unprecedented transparency on the medical services physicians provide and how much they are paid

Curated on Posted on by Stefaan Verhulst

Jonathan Blum, Principal Deputy Administrator, Centers for Medicare & Medicaid Services : “Today the Centers for Medicare & Medicaid Services (CMS) took a major step forward in making Medicare data more transparent and accessible, while maintaining the privacy of beneficiaries, by announcing the release of new data on medical services and procedures furnished to Medicare fee-for-service beneficiaries by physicians and other healthcare professionals (http://www.cms.gov/newsroom/newsroom-center.html). For too long, the only information on physicians readily available to consumers was physician name, address and phone number. This data will, for the first time, provide a better picture of how physicians practice in the Medicare program.
This new data set includes over nine million rows of data on more than 880,000 physicians and other healthcare professionals in all 50 states, DC and Puerto Rico providing care to Medicare beneficiaries in 2012. The data set presents key information on the provision of services by physicians and how much they are paid for those services, and is organized by provider (National Provider Identifier or NPI), type of service (Healthcare Common Procedure Coding System, or HCPCS) code, and whether the service was performed in a facility or office setting. This public data set includes the number of services, average submitted charges, average allowed amount, average Medicare payment, and a count of unique beneficiaries treated. CMS takes beneficiary privacy very seriously and we will protect patient-identifiable information by redacting any data in cases where it includes fewer than 11 beneficiaries.
Previously, CMS could not release this information due to a permanent injunction issued by a court in 1979. However, in May 2013, the court vacated this injunction, causing a series of events that has led CMS to be able to make this information available for the first time.
Data to Fuel Research and Innovation
In addition to the public data release, CMS is making slight modifications to the process to request CMS data for research purposes. This will allow researchers to conduct important research at the physician level. As with the public release of information described above, CMS will continue to prohibit the release of patient-identifiable information. For more information about CMS’s disclosures to researchers, please contact the Research Data Assistance Center (ResDAC) at http://www.resdac.org/.
Unprecedented Data Access
This data release follows other CMS efforts to make more data available to the public. Since 2010, the agency has released an unprecedented amount of aggregated data in machine-readable form, with much of it available at http://www.healthdata.gov. These data range from previously unpublished statistics on Medicare spending, utilization, and quality at the state, hospital referral region, and county level, to detailed information on the quality performance of hospitals, nursing homes, and other providers.
In May 2013, CMS released information on the average charges for the 100 most common inpatient services at more than 3,000 hospitals nationwide http://www.cms.gov/Research-Statistics-Data-and-Systems/Statistics-Trends-and-Reports/Medicare-Provider-Charge-Data/Inpatient.html.
In June 2013, CMS released average charges for 30 selected outpatient procedures http://www.cms.gov/Research-Statistics-Data-and-Systems/Statistics-Trends-and-Reports/Medicare-Provider-Charge-Data/Outpatient.html.
We will continue to work toward harnessing the power of data to promote quality and value, and improve the health of our seniors and persons with disabilities.”

The Data Mining Techniques That Reveal Our Planet's Cultural Links and Boundaries

Curated on Posted on by Stefaan Verhulst

Emerging Technology From the arXiv: “The habits and behaviors that define a culture are complex and fascinating. But measuring them is a difficult task. What’s more, understanding the way cultures change from one part of the world to another is a task laden with challenges.
The gold standard in this area of science is known as the World Values Survey, a global network of social scientists studying values and their impact on social and political life. Between 1981 and 2008, this survey conducted over 250,000 interviews in 87 societies. That’s a significant amount of data and the work has continued since then. This work is hugely valuable but it is also challenging, time-consuming and expensive.
Today, Thiago Silva at the Universidade Federal de Minas Gerais in Brazil and a few buddies reveal another way to collect data that could revolutionize the study of global culture. These guys study cultural differences around the world using data generated by check-ins on the location-based social network, Foursquare.
That allows these researchers to gather huge amounts of data, cheaply and easily in a short period of time. “Our one-week dataset has a population of users of the same order of magnitude of the number of interviews performed in [the World Values Survey] in almost three decades,” they say.
Food and drink are fundamental aspects of society and so the behaviors and habits associated with them are important indicators. The basic question that Silva and co attempt to answer is: what are your eating and drinking habits? And how do these differ from a typical individual in another part of the world such as Japan, Malaysia, or Brazil?
Foursquare is ideally set up to explore this question. Users “check in” by indicating when they have reached a particular location that might be related to eating and drinking but also to other activities such as entertainment, sport and so on.
Silva and co are only interested in the food and drink preferences of individuals and, in particular, on the way these preferences change according to time of day and geographical location.
So their basic approach is to compare a large number individual preferences from different parts of the world and see how closely they match or how they differ.
Because Foursquare does not share its data, Silva and co downloaded almost five million tweets containing Foursquare check-ins, URLs pointing to the Foursquare website containing information about each venue. They discarded check-ins that were unrelated to food or drink.
That left them with some 280,000 check-ins related to drink from 160,000 individuals; over 400,000 check-ins related to fast food from 230,000 people; and some 400,000 check-ins relating to ordinary restaurant food or what Silva and co call slow food.
They then divide each of these classes into subcategories. For example, the drink class has 21 subcategories such as brewery, karaoke bar, pub, and so on. The slow food class has 53 subcategories such as Chinese restaurant, Steakhouse, Greek restaurant, and so on.
Each check-in gives the time and geographical location which allows the team to compare behaviors from all over the world. They compare, for example, eating and drinking times in different countries both during the week and at the weekend. They compare the choices of restaurants, fast food habits and drinking habits by continent and country. The even compare eating and drinking habits in New York, London, and Tokyo.
The results are a fascinating insight into humanity’s differing habits. Many places have similar behaviors, Malaysia and Singapore or Argentina and Chile, for example, which is just as expected given the similarities between these places.
But other resemblances are more unexpected. A comparison of drinking habits show greater similarity between Brazil and France, separated by the Atlantic Ocean, than they do between France and England, separated only by the English Channel…
They point out only two major differences. The first is that no Islamic cluster appears in the Foursquare data. Countries such as Turkey are similar to Russia, while Indonesia seems related to Malaysia and Singapore.
The second is that the U.S. and Mexico make up their own individual cluster in the Foursquare data whereas the World Values Survey has them in the “English-speaking” and “Latin American” clusters accordingly.
That’s exciting data mining work that has the potential to revolutionize the way sociologists and anthropologists study human culture around the world. Expect to hear more about it
Ref: http://arxiv.org/abs/1404.1009: You Are What You Eat (and Drink): Identifying Cultural Boundaries By Analyzing Food & Drink Habits In Foursquare”.

'Hackathons' Aim to Solve Health Care's Ills

Curated on Posted on by Stefaan Verhulst

Amy Dockser Marcus in the Wall Street Journal: “Hackathons, the high-octane, all-night problem-solving sessions popularized by the software-coding community, are making their way into the more traditional world of health care. At Massachusetts Institute of Technology, a recent event called Hacking Medicine’s Grand Hackfest attracted more than 450 people to work for one weekend on possible solutions to problems involving diabetes, rare diseases, global health and information technology used at hospitals.
Health institutions such as New York-Presbyterian Hospital and Brigham and Women’s Hospital in Boston have held hackathons. MIT, meantime, has co-sponsored health hackathons in India, Spain and Uganda.
Hackathons of all kinds are increasingly popular. Intel Corp.  recently bought a group that organizes them. Companies hoping to spark creative thinking sponsor them. And student-run hackathons have turned into intercollegiate competitions.
But in health care, where change typically comes much more slowly than in Silicon Valley, they represent a cultural shift. To solve a problem, scientists and doctors can spend years painstakingly running experiments, gathering data, applying for grants and publishing results. So the idea of an event where people give two-minute pitches describing a problem, then join a team of strangers to come up with a solution in the course of one weekend is radical.
“We are not trying to replace the medical culture with Facebook culture,” said Elliot Cohen, who wore a hoodie over a button-down dress shirt at the MIT event in March and helped start MIT Hacking Medicine while at business school. “But we want to try to blend them more.”
Mr. Cohen co-founded and is chief technology officer at PillPack, a pharmacy that sends customers personalized packages of their medications, a company that started at a hackathon.
At MIT’s health-hack, physicians, researchers, students and a smattering of people wearing Google Glass sprawled on the floor of MIT’s Media Lab and at tables with a view of the Boston skyline. At one table, a group of college students, laptops plastered with stickers, pulled juice boxes and snacks out of backpacks, trash piling up next to them as they feverishly wrote code.
Nupur Garg, an emergency-room physician and one of the eventual winners, finished her hospital shift at 2 a.m. Saturday in New York, drove to Boston and arrived at MIT in time to pitch the need for a way to capture images of patients’ ears and throats that can be shared with specialists to help make diagnoses. She and her team immediately started working on a prototype for the device, testing early versions on anyone who stopped by their table.
Dr. Garg and teammate Nancy Liang, who runs a company that makes Web apps for 3-D printers, caught a few hours of sleep in a dorm room Saturday night. They came up with the idea for their product’s name—MedSnap—later that night while watching students use cellphone cameras to send SnapChats to one another. “There was no time to conduct surveys on what was the best name,” said Ms. Liang. “Many ideas happen after midnight.”
Winning teams in each category won $1,000, as well as access to the hackathons sponsors for advice and pilot projects.
Yet even supporters say hackathons can’t solve medicine’s challenges overnight. Harlan Krumholz, a professor at Yale School of Medicine who ran a many-months trial that found telemonitoring didn’t reduce hospitalizations or deaths of cardiology patients, said he supports the problem-solving ethos of hackathons. But he added that “improvements require a long-term commitment, not just a weekend.”
Ned McCague, a data scientist at Blue Cross Blue Shield of Massachusetts, served as a mentor at the hackathon. He said he wasn’t representing his employer, but he used his professional experiences to push groups to think about the potential customer. “They have a good idea and are excited about it, but they haven’t thought about who is paying for it,” he said.
Zen Chu, a senior lecturer in health-care innovation and entrepreneur-in-residence at MIT, and one of the founders of Hacking Medicine, said more than a dozen startups conceived since the first hackathon, in 2011, are still in operation. Some received venture-capital funding.
The upsides of hackathons were made clear to Sharon Moalem, a physician who studies rare diseases. He had spent years developing a mobile app that can take pictures of faces to help diagnose rare genetic conditions, but was stumped on how to give the images a standard size scale to make comparisons. At the hackathon, Dr. Moalem said he was approached by an MIT student who suggested sticking a coin on the subjects’ forehead. Since quarters have a standard measurement, it “creates a scale,” said Dr. Moalem.
Dr. Moalem said he had never considered such a simple, elegant solution. The team went on to write code to help standardize facial measurements based on the dimensions of a coin and a credit card.
“Sometimes when you are too close to something, you stop seeing solutions, you only see problems,” Dr. Moalem said. “I needed to step outside my own silo.”