Antonio Regalado in MIT Technology Review: “A coalition of geneticists and computer programmers calling itself the Global Alliance for Genomics and Health is developing protocols for exchanging DNA information across the Internet. The researchers hope their work could be as important to medical science as HTTP, the protocol created by Tim Berners-Lee in 1989, was to the Web.
One of the group’s first demonstration projects is a simple search engine that combs through the DNA letters of thousands of human genomes stored at nine locations, including Google’s server farms and the University of Leicester, in the U.K. According to the group, which includes key players in the Human Genome Project, the search engine is the start of a kind of Internet of DNA that may eventually link millions of genomes together.
The technologies being developed are application program interfaces, or APIs, that let different gene databases communicate. Pooling information could speed discoveries about what genes do and help doctors diagnose rare birth defects by matching children with suspected gene mutations to others who are known to have them.
The alliance was conceived two years ago at a meeting in New York of 50 scientists who were concerned that genome data was trapped in private databases, tied down by legal consent agreements with patients, limited by privacy rules, or jealously controlled by scientists to further their own scientific work. It styles itself after the World Wide Web Consortium, or W3C, a body that oversees standards for the Web.
“It’s creating the Internet language to exchange genetic information,” says David Haussler, scientific director of the genome institute at the University of California, Santa Cruz, who is one of the group’s leaders.
The group began releasing software this year. Its hope—as yet largely unrealized—is that any scientist will be able to ask questions about genome data possessed by other laboratories, without running afoul of technical barriers or privacy rules….(More)”
Gamifying Cancer Research Crowdsources the Race for the Cure
Jason Brick at PSFK: “Computer time and human hours are among of the biggest obstacles in the face of progress in the fight against cancer. Researchers have terabytes of data, but only so many processors and people with which to analyze it. Much like the SETI program (Search for Extra Terrestrial Intelligence), it’s likely that big answers are already in the information we’ve collected. They’re just waiting for somebody to find them.
Reverse the Odds, a free mobile game from Cancer Research UK, accesses the combined resources of geeks and gamers worldwide. It’s a simple app game, the kind you play in line at the bank or while waiting at the dentist’s office, in which you complete mini puzzles and buy upgrades to save an imaginary world.
Each puzzle of the game is a repurposing of cancer data. Players find patterns in the data — the exact kind of analysis grad students and volunteers in a lab look for — and the results get compiled by Cancer Research UK for use in finding a cure. Errors are expected and accounted for because the thousands of players expected will round out the occasional mistake….(More)”
This vending machine will deny you snacks based on medical records
Springwise: “Businesses often stand by the motto ‘the customer is always right’ — but are they? We’ve already seen a few services that deny consumers what they want based on their personal info. For example, Billboard Brasil’s Fan Check Machine only gave out copies of the music magazine if the buyer could prove they owned tracks by the artist on the cover. Now the Luce X2 Touch TV vending machine uses facial recognition and customers’ medical records to determine if they should be allowed to buy an unhealthy snack.
Created by Italy-based Rhea Vendors and recently launched in the UK, the machine features a 22-inch touchscreen display that lets customers to select an item just like a standard vending machine. However, before the snack is released customers with an account can go through a facial recognition check.
The technology detects the customer’s age, build and mood in order to determine whether the purchase is a wise decision. The machine can also be programmed to access information about the user’s medical records and purchase history. If the algorithms decide that purchasing a coffee with 3 sugars or the fourth candy bar of the day is a bad idea for their health or mood, it can refuse to vend the product.
While some customers won’t appreciate their private data being analyzed or getting rejected by a lifeless machine, the idea could be a savior for those on a diet….(More).
Make policy for real, not ideal, humans
Martin Wolf at the Financial Times: “Out of the crooked timber of humanity, no straight thing was ever made. This famous remark of the German philosopher, Immanuel Kant, is particularly relevant to economists. “Homo economicus” is far-sighted, rational and self-interested. Real human beings are none of these things. We are bundles of emotions, not calculating machines. This matters
The World Bank’s latest World Development Report examines this territory. It notes that “behavioural economics” alters our view of human behaviour in three ways: first, most of our thinking is not deliberative, but automatic; second, it is socially conditioned; and, third, it is shaped by inaccurate mental models.
The Nobel laureate, Daniel Kahneman, explored the idea that we think in two different ways in his 2011 book Thinking, Fast and Slow . The need for an automatic system is evident. Our ancestors did not have the time to work out answers to life’s challenges from first principles. They acquired automatic responses and a cultural predisposition towards rules of thumb. We inherited both these traits. Thus, we are influenced by how a problem is framed.
Another characteristic is “confirmation bias” — the tendency to interpret new information as support for pre-existing beliefs. We also suffer from loss aversion, fierce resistance to losing what one already has. For our ancestors, on the margin of survival, that made sense.
The fact that humans are intensely social is clear. Even the idea that we are autonomous is itself socially conditioned. We are also far from solely self-interested. A bad consequence of the power of norms is that societies may be stuck in destructive patterns of behaviour. Nepotism and corruption are examples. If they are entrenched, it may be difficult (or dangerous) for individuals not to participate. But social norms can also be valuable. Trust is a valuable norm. It rests on one of humanity’s strongest behaviours: conditional co-operation. People will punish free-riders even when it costs them to do so. This trait strengthens groups and so must raise members’ ability to survive.
Mental models are essential. Some seem to be inbuilt; and some can be damaging — as well as productive. Ideas about “us” and “them”, reinforced by social norms, may well lead to results that range from the merely unfair to the catastrophic. Equally important may be mental models that create self-fulfilling expectations of who will succeed and who will fail. There is evidence, notes the WDR, that mental models rooted in history may shape people’s view of the world for centuries: caste is an example. Such mental models survive because they are reproduced socially and become part of the automatic rather than the deliberative system. They influence not just our perceptions of others, but perceptions of ourselves.
To illustrate the relevance of these realities, the report analyses the policy challenges of poverty, early childhood development, household finance, productivity, health and climate change….(More)”
How Government Can Unlock Economic Benefits from Open Data
Zillow is a prime example of how open data creates economic value. The Seattle-based company has grown rapidly since its launch in 2006, generating more than $78 million in revenue in its last financial quarter and employing more than 500 workers. But real estate firms aren’t the only businesses benefiting from data collected and published by government.
GovLab, a research laboratory run by New York University, publishes the Open Data 500, a list of companies that benefit from open data produced by the federal government. The list contains more than 15 categories of businesses, ranging from health care and education to energy, finance, legal and the environment. And the data flows from all the major agencies, including NASA, Defense, Transportation, Homeland Security and Labor….
Zillow’s road to success underscores the challenges that lie ahead if local government is going to grab its share of open data’s economic bonanza. One of the company’s biggest hurdles was to create a system that could integrate government data from thousands of databases in county government. “There’s no standard format, which is very frustrating,” Stan Humphries, Zillow’s chief economist, told Computerworld.com. “It’s up to us to figure out 3,000 different ways to ingest data and make sense of it…. More at GovTech”
The Free 'Big Data' Sources Everyone Should Know
Bernard Marr at Linkedin Pulse: “…The moves by companies and governments to put large amounts of information into the public domain have made large volumes of data accessible to everyone….here’s my rundown of some of the best free big data sources available today.
Data.gov
The US Government pledged last year to make all government data available freely online. This site is the first stage and acts as a portal to all sorts of amazing information on everything from climate to crime. To check it out, click here.
US Census Bureau
A wealth of information on the lives of US citizens covering population data, geographic data and education. To check it out, click here. To check it out, click here.
European Union Open Data Portal
As the above, but based on data from European Union institutions. To check it out, click here.
Data.gov.uk
Data from the UK Government, including the British National Bibliography – metadata on all UK books and publications since 1950. To check it out, click here.
The CIA World Factbook
Information on history, population, economy, government, infrastructure and military of 267 countries. To check it out, click here.
Healthdata.gov
125 years of US healthcare data including claim-level Medicare data, epidemiology and population statistics. To check it out, click here.
NHS Health and Social Care Information Centre
Health data sets from the UK National Health Service. To check it out, click here.
Amazon Web Services public datasets
Huge resource of public data, including the 1000 Genome Project, an attempt to build the most comprehensive database of human genetic information and NASA’s database of satellite imagery of Earth. To check it out, click here.
Facebook Graph
Although much of the information on users’ Facebook profile is private, a lot isn’t – Facebook provide the Graph API as a way of querying the huge amount of information that its users are happy to share with the world (or can’t hide because they haven’t worked out how the privacy settings work). To check it out, click here.
Gapminder
Compilation of data from sources including the World Health Organization and World Bank covering economic, medical and social statistics from around the world. To check it out, click here.
Google Trends
Statistics on search volume (as a proportion of total search) for any given term, since 2004. To check it out, click here.
Google Finance
40 years’ worth of stock market data, updated in real time. To check it out, click here.
Google Books Ngrams
Search and analyze the full text of any of the millions of books digitised as part of the Google Books project. To check it out, click here.
National Climatic Data Center
Huge collection of environmental, meteorological and climate data sets from the US National Climatic Data Center. The world’s largest archive of weather data. To check it out, click here.
DBPedia
Wikipedia is comprised of millions of pieces of data, structured and unstructured on every subject under the sun. DBPedia is an ambitious project to catalogue and create a public, freely distributable database allowing anyone to analyze this data. To check it out, click here.
Topsy
Free, comprehensive social media data is hard to come by – after all their data is what generates profits for the big players (Facebook, Twitter etc) so they don’t want to give it away. However Topsy provides a searchable database of public tweets going back to 2006 as well as several tools to analyze the conversations. To check it out, click here.
Likebutton
Mines Facebook’s public data – globally and from your own network – to give an overview of what people “Like” at the moment. To check it out, click here.
New York Times
Searchable, indexed archive of news articles going back to 1851. To check it out, click here.
Freebase
A community-compiled database of structured data about people, places and things, with over 45 million entries. To check it out, click here.
Million Song Data Set
Metadata on over a million songs and pieces of music. Part of Amazon Web Services. To check it out, click here.”
See also Bernard Marr‘s blog at Big Data Guru
Climate Resilience Toolkit
“Meeting the challenges of a changing climate
The U.S. Climate Resilience Toolkit provides scientific tools, information, and expertise to help people manage their climate-related risks and opportunities, and improve their resilience to extreme events. The site is designed to serve interested citizens, communities, businesses, resource managers, planners, and policy leaders at all levels of government.
A climate-smart approach to taking action
In response to the President’s Climate Action Plan and Executive Order to help the nation prepare for climate-related changes and impacts, U.S. federal government agencies gathered resources that can help people take action to build their climate resilience. The impacts of climate change—including higher temperatures, heavier downpours, more frequent and intense droughts, wildfires, and floods, and sea level rise—are affecting communities, businesses, and natural resources across the nation.
Now is the time to act. For some, taking a business-as-usual approach has become more risky than taking steps to build their climate resilience. People who recognize they are vulnerable to climate variability and change can work to reduce their vulnerabilities, and find win-win opportunities that simultaneously boost local economies, create new jobs, and improve the health of ecosystems. This is a climate-smart approach—investing in activities that build resilience and capacity while reducing risk.
What’s in the Toolkit? How can it help?
Using plain language, the U.S. Climate Resilience Toolkit helps people face climate problems and find climate opportunities. The site offers:
- Steps to Resilience—a five-step process you can follow to initiate, plan, and implement projects to become more resilient to climate-related hazards.
- Taking Action stories—real-world case studies describing climate-related risks and opportunities that communities and businesses face, steps they’re taking to plan and respond, and tools and techniques they’re using to improve resilience.
- A catalog of freely available Tools for accessing and analyzing climate data, generating visualizations, exploring climate projections, estimating hazards, and engaging stakeholders in resilience-building efforts.
- Climate Explorer—a visualization tool that offers maps of climate stressors and impacts as well as interactive graphs showing daily observations and long-term averages from thousands of weather stations.
- Topic narratives that explain how climate variability and change can impact particular regions of the country and sectors of society.
- Pointers to free, federally developed training courses that can build skills for using climate tools and data.
- Maps highlighting the locations of centers where federal and state agencies can provide regional climate information.
- The ability to Search the entire federal government’s climate science domain and filter results according to your interests.”
Test-tube government
The Economist: “INCUBATORS, accelerators, garages, laboratories: the best big companies have had them for years. Whatever the moniker (The Economist once had one called “Project Red Stripe”), in most cases a select few workers are liberated from the daily grind and encouraged to invent the future. Now such innovation units are becoming de rigueur in the public sector too: Boston has an Office of New Urban Mechanics; Denmark has a MindLab; and Singapore has the more prosaically named PS21 Office.
These government laboratories provide a bridge between the public and private sectors. Sometimes governments simply copy what private firms are doing. MindLab is based on the Future Centre, the innovation unit of Skandia, a big insurance firm. Sometimes they get money and advice from private sources: the New Orleans Innovation Delivery Team is partly funded by Michael Bloomberg, the former mayor of New York city and one of America’s biggest media tycoons. Whatever the connection, these units plug the public sector into a new world. They are full of people talking about “disruption” and “iteration”.
The units also provide a connection with academia. Britain’s Behavioural Insights Team, originally based in the Cabinet Office, was the world’s first government outfit dedicated to applying the insights of behavioural economics to public policy (it was known as the “nudge unit”, after the book “Nudge”, by Richard Thaler and Cass Sunstein). David Halpern, the group’s head, says that its mission was to point out the “small details” of policy that can have big consequences (see Free Exchange). It persuaded, for instance, HM Revenue & Customs, Britain’s tax collection agency, to tweak the words of a routine letter to say that most people in the recipient’s local area had already paid their taxes. As a result, payment rates increased by five percentage points.
A new report published by Nesta, a British charity devoted to promoting innovation, and Bloomberg Philanthropies shows how popular these government innovation labs have become. They can be found in a striking variety of places, from developing countries such as Malaysia to rich countries like Finland, and in the offices of mayors as well as the halls of central government.
Whatever their location, the study suggests they go about things in similar ways, with a lot of emphasis on harnessing technology. The most popular idea is co-creation—getting one’s customers to help invent and improve products and services. Boston’s Office of New Urban Mechanics has produced a series of apps which provide citizens with a convenient way of reporting problems such as graffiti and pot holes (by taking a photograph and sending it to city hall, users provide it with evidence and GPS co-ordinates). The staff-suggestion scheme introduced by PS21 in Singapore has produced striking results: one air-force engineer came up with the idea of scanning aircraft for leaks with ultraviolet light, just as opticians scan the cornea for scratches….
The most striking thing about these institutions, however, is their willingness to experiment. Policymakers usually alternate between hostility to new ideas and determination to implement a new policy without bothering to try it out first. Innovation centres tend to be both more daring and happy to test things. Sitra, for instance, is experimenting with health kiosks in shopping centres which are staffed by nurses, provide routine care and stay open late and on weekends. The Centre for Social Innovation in Colombia has developed computer games which are designed to teach pre-teenagers to make sensible choices about everything from nutrition to gang membership. Sitra also tracks the progress of each project that it funds against its stated goals….”
Nominet Trust – celebrating 100 life-changing applications of digital technology
Charles Leadbeater in the Financial Times: “The Nominet Trust, the corporate foundation of Nominet, the organisation which looks after the UK’s system of website addresses, has been scouring the world for innovations in which people use digital technologies to tackle social challenges. The Trust wants to inspire and back UK innovators to realise the still largely untapped social potential of digital technologies, to provide new ways for people to learn, look after their health, find cleaner forms of energy and create new economic activity.
We have just announced the second year of the Nominet Trust 100, our annual celebration of such global digital social innovation. This showcases the incessant, unfolding waves of innovation rippling around the world as cheaper and more reliable digital technologies cross-fertilise and multiply. Such innovation waves build from far off before rushing forward with immense power. One prime example is 3D printing, which is about to become a practical tool rather than an esoteric toy of the rich or hip….
Citizen science
Last year’s NT100 featured Cell Slider, an app from Cancer Research UK that harnessed the power of “citizen scientists” to classify images of cells, helping researchers move more quickly towards finding a cure for cancer. Cellslider’s citizen-science approach meant that in just three months, one million images were classified by people using the app. Reverse the Odds reached that milestone in just two weeks.
Combining state-of-the-art game design, expertise in data analysis and remarkable production values, Reverse the Odds is a mobile puzzle where players are challenged to save a race of adorable minions within a magical world. The mini-puzzles are enough to engage thousands of players but in helping these colourful creatures, players are actually analysing real cancer data, which helps the scientists at Cancer Research UK to move more quickly to finding cures. The charity has terabytes of images of cells that can only be analysed by humans — computers can’t identify the patterns required.
Fighting harassment
HarassMap is an Egyptian innovation to crowd-map sexual harassment, in a country where 83 per cent of women, and 98 per cent of foreign women, have experienced sexual abuse and assault.
The NGO, founded by Rebecca Chiao and three other women in 2010, uses the same technology as Ushahidi did in mapping violence in Kenya’s 2007 elections. Anyone can report and detail each instance of an attack, filed by category, from ogling and catcalling, to indecent exposure and rape, using their mobile phone to upload information to a database which then generates the map.
Victims get an instant, automated message of support including where to get legal aid, psychological counselling, learn self-defence and how to make a police report. The data generated allows the NGO to properly measure the problem of sexual harassment for the first time and help engineer a shift in how the Egyptian media reports sexual attacks. It also gives their network of 1,500 trained volunteers the ammunition to make sexual abuse socially unacceptable by challenging community norms, using hard facts.
HarassMap has a distressingly large potential market. The group has given training and technical assistance to activists from 28 other countries to run similar projects, everywhere from Palestine and Yemen to Bangladesh, Pakistan, Syria, India and the UK….”
Let’s kickstart science in America
David Lang at Ideas.Ted: “Science funding is broken. To fix it, we need to empower a new class of makers, citizen scientists and explorers
The troubling state of science funding in America goes by many names: sequestration, the profzi scheme, the postdocalypse. Because it can take extensive planning over years in academia to gain research funds from the National Science Foundation and the National Institutes of Health, “nobody takes risks anymore,” writes one researcher in his “Goodbye Academia” letter. “Nobody young jumps and tries totally new things, because it’s almost surely a noble way to suicide your career.” The result? We are on the verge of losing a generation of scientists at the exact moment we need to embolden them. Biologist Michael Eisen sums up the effects of the funding crunch: “It is an amazing time to do science, but an incredibly difficult time to be a scientist.”
It’s not all bad news for the thousands of science and conservation ideas that fall outside the traditional funding rubric. Fortunately, new citizen science models are emerging — along with a new class of philanthropic backers to fill the funding voids left by the NSF and the NIH. Our experience developing OpenROV (an open-source underwater robot) into one of the largest (by volume) underwater robot manufacturers in the world is illustrative of this shift.
Looking back at the sequence of events, it seems improbable that such a small amount of initial funding could have made such a large impact, but it makes perfect sense when you break down all the contributing factors. Two years ago, we weren’t even part of the oceanographic community. Our ideas and techniques were outside the playbook for experienced ocean engineers. And since we only had enough money to test the first thing, not the whole thing, we started by creating a prototype. Using TechShop equipment in San Francisco, we able to create several iterations of a low-cost underwater robot that was suitable for our purpose: exploring an underwater cave and looking for lost treasure. After sharing our designs online, we found a community of like-minded developers. Together we raised over $100,000 on Kickstarter to do a first run of manufacturing.
This experience made us think: How can we make more microsponsorship opportunities available in science, exploration and conservation? OpenExplorer was our response. Instead of providing seed funding, we’ve created a model that gives everyone a chance to sponsor new ideas, research and expeditions in science and engineering. One success: TED Fellow Asha de Vos‘s work on preventing the ship strike of blue whales in the Indian Ocean….”