Chapter by Daniele Archibugi et al in The Handbook of Global Science, Technology, and Innovation: “Today, governments release governmental data that were previously hidden to the public. This democratization of governmental open data (OD) aims to increase transparency but also fuels innovation. Indeed, the release of governmental OD is a global trend, which has evolved into governmental open innovation (GOI). In GOI, governmental actors purposively manage the knowledge flows that span organizational boundaries and reveal innovation-related knowledge to the public with the aim to spur innovation for a higher economic and social welfare at regional, national, or global scale. GOI subsumes different revealing strategies, namely governmental OD, problem, and solution revealing. This chapter introduces the concept of GOI that has evolved from global OD efforts. It present a historical analysis of the emergence of GOI in four different continents, namely, Europe (UK and Denmark), North America (United States and Mexico), Australia, and China to highlight the emergence of GOI at a global scale….(More)”
Citizen Sensor Data Mining, Social Media Analytics and Applications
Paper by Amit P. Sheth: “With the rapid rise in the popularity of social media (1B+ Facebook users, 200M+ twitter users), and near ubiquitous mobile access (4+ billion actively-used mobile phones), the sharing of observations and opinions has become common-place (500M+ tweets a day). This has given us an unprecedented access to the pulse of a populace and the ability to perform analytics on social data to support a variety of socially intelligent applications — be it for brand tracking and management, crisis coordination, organizing revolutions or promoting social development in underdeveloped and developing countries. I will review: 1) understanding and analysis of informal text, esp. microblogs (e.g., issues of cultural entity extraction and role of semantic/background knowledge enhanced techniques), and 2) how we built Twitris, a comprehensive social media analytics (social intelligence) platform. I will describe the analysis capabilities along three dimensions: spatio-temporal-thematic, people-content-network, and sentiment-emption-intent. I will couple technical insights with identification of computational techniques and real-world examples using live demos of Twitris….(More)”
Local Governments Need Financial Transparency Tools
Cities of the Future: “Comprehensive financial transparency — allowing anyone to look up the allocation of budgets, expenses by department, and even the ledger of each individual expense as it happens — can help local governments restore residents’ confidence, help manage the budget efficiently and make more informed decisions for new projects and money allocation.
A few weeks ago, we had municipal elections in Spain. Many local governments changed hands and the new administrations had to review the current budgets, see where money was being spent and, on occasion, discovered expenses they were not expecting.
As costs rise and cities find it more difficult to provide the same services without raising taxes, citizens among others are demanding full disclosure of income and expenses.
Tools such as OpenGov platform are helping cities accomplish that goal…Earlier this year the city of Beaufort (pop. 13,000), South Carolina’s second oldest city known for its historic charm and moss-laden oak trees, decided to implement OpenGov. It rolled out the platform to the public last February, becoming the first city in the State to provide the public with in-depth, comprehensive financial data (spanning five budget years).
The reception by the city council and residents was extremely positive. Residents can now look up where their tax money goes down to itemized expenses. They can also see up-to-date charts of every part of the budget, how it is being spent, and what remains to be used. City council members can monitor the administration’s performance and ask informed questions at town meetings about the budget use, right down to the smallest expenses….
Many cities are now implementing open data tools to share information on different aspects of city services, such as transit information, energy use, water management, etc. But those tools are difficult to use and do not provide comprehensive financial information about the use of public money. …(More)”
Collective Intelligence in Patient Organisations
Key findings
- Patient organisations are important examples of collective intelligence practiced in challenging conditions with the aim of tackling complex problems.
- With more long term conditions and multimorbidities, more data, more available options in diagnostics, treatments, and care, knowledge is becoming one of the most critical assets of patients seeking optimal care.
- Patient organisations, working as collectives, are in an excellent position to support the work of translating, assembling and analysing the information involved in healthcare.
- Innovative patient organisations are already supporting the development of peer relationships, driving ambitious research programmes, sharing skills and unlocking the energy and expertise of patients. But they need support from better tools to extend this critical work.
Unlike many popular examples of collective intelligence such as open source software, people coming to patient organisations are not motivated by pre-existing technical skills, but by urgent personal needs. This makes them a hugely productive site of research.
The ‘thinking challenges’ patients face are enormous and complex, involving an ever-growing store of medical information, the practical and bureaucratic skills of living with a condition. Many go beyond adherence to understanding and partaking in research.
The health care system is under strain from increasing demand and resource pressure. The NHS and other healthcare networks have committed to engage and empower patients and support them in developing expertise, enabling them to take a more active role in their own care. But knowledge tools and systems that engage only with individuals tend to exacerbate existing health care divides. Health knowledge work is hard, and requires time and resources.
In this report we argue that patient organisations have a pivotal role to play in distributing the burden and benefit of knowledge work amongst participants. They need new and better tools to support their work developing connections between the many individuals and institutions of the healthcare system, driving ambitious research programmes, and facilitating peer support….(More)
‘Smart Cities’ Will Know Everything About You
Mike Weston in the Wall Street Journal: “From Boston to Beijing, municipalities and governments across the world are pledging billions to create “smart cities”—urban areas covered with Internet-connected devices that control citywide systems, such as transit, and collect data. Although the details can vary, the basic goal is to create super-efficient infrastructure, aid urban planning and improve the well-being of the populace.
A byproduct of a tech utopia will be a prodigious amount of data collected on the inhabitants. For instance, at the company I head, we recently undertook an experiment in which some staff volunteered to wear devices around the clock for 10 days. We monitored more than 170 metrics reflecting their daily habits and preferences—including how they slept, where they traveled and how they felt (a fast heart rate and no movement can indicate excitement or stress).
If the Internet age has taught us anything, it’s that where there is information, there is money to be made. With so much personal information available and countless ways to use it, businesses and authorities will be faced with a number of ethical questions.
In a fully “smart” city, every movement an individual makes can be tracked. The data will reveal where she works, how she commutes, her shopping habits, places she visits and her proximity to other people. You could argue that this sort of tracking already exists via various apps and on social-media platforms, or is held by public-transport companies and e-commerce sites. The difference is that with a smart city this data will be centralized and easy to access. Given the value of this data, it’s conceivable that municipalities or private businesses that pay to create a smart city will seek to recoup their expenses by selling it….
Recent history—issues of privacy and security on social networks and chatting apps, and questions about how intellectual-property regulations apply online—has shown that the law has been slow to catch up with digital innovations. So businesses that can purchase smart-city data will be presented with many strategic and ethical concerns.
What degree of targeting is too specific and violates privacy? Should businesses limit the types of goods or services they offer to certain individuals? Is it ethical for data—on an employee’s eating habits, for instance—to be sold to employers or to insurance companies to help them assess claims? Do individuals own their own personal data once it enters the smart-city system?
With or without stringent controlling legislation, businesses in a smart city will need to craft their own policies and procedures regarding the use of data. A large-scale misuse of personal data could provoke a consumer backlash that could cripple a company’s reputation and lead to monster lawsuits. An additional problem is that businesses won’t know which individuals might welcome the convenience of targeted advertising and which will find it creepy—although data science could solve this equation eventually by predicting where each individual’s privacy line is.
A smart city doesn’t have to be as Orwellian as it sounds. If businesses act responsibly, there is no reason why what sounds intrusive in the abstract can’t revolutionize the way people live for the better by offering services that anticipates their needs; by designing ultraefficient infrastructure that makes commuting a (relative) dream; or with a revolutionary approach to how energy is generated and used by businesses and the populace at large….(More)”
The digital revolution liberating Latin American people
Luis Alberto Moreno in the Financial Times: “Imagine a place where citizens can deal with the state entirely online, where all health records are electronic and the wait for emergency care is just seven minutes. Singapore? Switzerland? Try Colima, Mexico.
Pessimists fear the digital revolution will only widen social and economic disparities in the developing world — particularly in Latin America, the world’s most unequal region. But Colima, though small and relatively prosperous, shows how some of the region’s governments are harnessing these tools to modernise services, improve quality of life and share the benefits of technology more equitably.
In the past 10 years, this state of about 600,000 people has transformed the way government works, going completely digital. Its citizens can carry out 62 procedures online, from applying for permits to filing crime reports. No internet at home? Colima offers hundreds of free WiFi hotspots.
Colombia and Peru are taking broadband to remote corners of their rugged territories. Bogotá has subsidised the expansion of its fibre optic network, which now links virtually every town in the country. Peru is expanding a programme that aims to bring WiFi to schools, hospitals and other public buildings in each of its 25 regions. The Colombian plan, Vive Digital, fosters internet adoption among all its citizens. Taxes on computers, tablets and smartphones have been scrapped. Low-income families have been given vouchers to sign up for broadband. In five years, the percentage of households connected to the internet jumped from 16 per cent to 50 per cent. Among small businesses it soared from 7 per cent to 61 per cent .
Inexpensive devices and ubiquitous WiFi, however, do not guarantee widespread usage. Diego Molano Vega, an architect of Vive Digital, found that many programs designed for customers in developed countries were ill suited to most Colombians. “There are no poor people in Silicon Valley,” he says. Latin American governments should use their purchasing power to push for development of digital services easily adopted by their citizens and businesses. Chile is a leader: it has digitised hundreds of trámites — bureaucratic procedures involving endless forms and queues. In a 4,300km-longcountry of mountains, deserts and forests, this enables access to all sorts of services through the internet. Entrepreneurs can now register businesses online for free in a single day.
In Chile, entrepreneurs can now register new businesses online for free in a single day…
Technology can be harnessed to boost equity in education. Brazil’s Mato Grosso do Sul state launched a free online service to prepare high school students for a tough national exam in which a good grade is a prerequisite for admission to federal universities. On average the results of the students who used the service were 31 per cent higher than those of their peers, prompting 10 other states to adopt the system.
Digital tools can also help raise competitiveness in business. Uruguay’s livestock information system keeps track of the country’s cattle. The publicly financed electronic registry ensures every beast can be traced, making it easier to monitor outbreaks of diseases….(More)”
Cities show how to make open data usable
Bianca Spinosa at GCN: “Government agencies have no shortage of shareable data. Data.gov, the open-data clearinghouse that launched in May 2009, had more than 147,331 datasets as of mid-July, and state and local governments are joining federal agencies in releasing ever-broader arrays of information.
The challenge, however, remains making all that data usable. Obama administration officials like to talk about how the government’s weather data supports forecasting and analysis that support businesses and help Americans every day. But relatively few datasets do more than just sit there, and fewer still are truly accessible for the average person.
At the federal level, that’s often because agency missions do not directly affect citizens the way that local governments do. Nevertheless, every agency has customers and communities of interest, and there are lessons feds can learn from how cities are sharing their data with the public.
One such model is Citygram. The app links to a city’s open-data platform and sends subscribers a weekly text or email message about selected activities in their neighborhoods. Charlotte officials worked closely with Code for America fellows to develop the software, and the app launched in December 2014 in that city and in Lexington, Ky.
Three other cities – New York, Seattle, and San Francisco – have since joined, and Orlando, Fla.; Honolulu; the Research Triangle area of North Carolina; and Montgomery County, Md., are considering doing so.
Citygram “takes open data and transforms it, curates it and translates it into human speech,” said Twyla McDermott, Charlotte’s corporate IT program manager. “People want to know what’s happening around them.”
Demonstrating real-world utility
People in the participating cities can go to Citygram.org, select their city and choose topics of interest (such as pending rezonings or new business locations). Then they enter their address and a radius to consider “nearby” and finally select either text or email for their weekly notifications.
Any city government can use the technology, which is open source and freely available on GitHub. San Francisco put its own unique spin on the app by allowing subscribers to sign up for notifications on tree plantings. With Citygram NYC, New Yorkers can find information on vehicle collisions within a radius of up to 4 miles….(More)”
The internet is the answer to all the questions of our time
Cory Doctorow in The Guardian: “…Why do people work for these organisations? Because they are utopians. Not utopians in the sense of believing that the internet is predestined to come out all right no matter what. Rather, we are utopians because, on the one hand, we are terrified of what kind of surveillance and control the internet enables, and because, on the other hand, we believe that the future is up for grabs: that we can work together to change what the internet is and what it will become. Nothing is more utopian than a belief that, when things are bad, we can make them better.
The internet has become the nervous system of the 21st century, wiring together devices that we carry, devices that are in our bodies, devices that our bodies are in. It is woven into the fabric of government service delivery, of war-fighting systems, of activist groups, of major corporations and teenagers’ social groups and the commerce of street-market hawkers.
There are many fights more important than the fight over how the internet is regulated. Equity in race, gender, sexual preference; the widening wealth gap; the climate crisis – each one far more important than the fight over the rules for the net.
Except for one thing: the internet is how every one of these fights will be won or lost. Without a free, fair and open internet, proponents of urgent struggles for justice will be outmaneuvered and outpaced by their political opponents, by the power-brokers and reactionaries of the status quo. The internet isn’t the most important fight we have; but it’s the most foundational….
The questions of the day are “How do we save the planet from the climate crisis?” and “What do we do about misogyny, racial profiling and police violence, and homophobic laws?” and “How do we check mass surveillance and the widening power of the state?” and “How do we bring down autocratic, human-rights-abusing regimes without leaving behind chaos and tragedy?”
Those are the questions.
But the internet is the answer. If you propose to fix any of these things without using the internet, you’re not being serious. And if you want to free the internet to use in all those fights, there’s a quarter century’s worth of Internet Utopians who’ve got your back….(More)
The data or the hunch
Ian Leslie at Intelligent Life: “THE GIFT FOR talent-spotting is mysterious, highly prized and celebrated. We love to hear stories about the baseball coach who can spot the raw ability of an erratic young pitcher, the boss who sees potential in the guy in the post room, the director who picks a soloist out of the chorus line. Talent shows are a staple of the TV schedules. We like to believe that certain people—sometimes ourselves—can just sense when a person has something special. But there is another method of spotting talent which doesn’t rely on hunches. In place of intuition, it offers data and analysis. Rather than relying on the gut, it invites us to use our heads. It tends not to make for such romantic stories, but it is effective—which is why, despite our affection, the hunch is everywhere in retreat.
Strike one against the hunch was the publication of “Moneyball” by Michael Lewis (2003), which has attained the status of a management manual for many in sport and beyond. Lewis reported on a cash-strapped major-league baseball team, the Oakland A’s, who enjoyed unlikely success against bigger and better-funded competitors. Their secret sauce was data. Their general manager, Billy Beane, had realised that when it came to evaluating players, the gut instincts of experienced baseball scouts were unreliable, and he employed statisticians to identify talent overlooked by the big clubs…..
These days, when a football club is interested in a player, it considers the average distance he runs in a game, the number of passes and tackles or blocks he makes, his shots on goal, the ratio of goals to shots, and many other details nobody thought to measure a generation ago. Sport is far from the only industry in which talent-spotting is becoming a matter of measurement. Prithwijit Mukerji, a postgraduate at the University of Westminster in London, recently published a paper on the way the music industry is being transformed by “the Moneyball approach”. By harvesting data from Facebook and Twitter and music services like Spotify and Shazam, executives can track what we are listening to in far more detail than ever before, and use it as a guide to what we will listen to next….
This is the day of the analyst. In education, academics are working their way towards a reliable method of evaluating teachers, by running data on test scores of pupils, controlled for factors such as prior achievement and raw ability. The methodology is imperfect, but research suggests that it’s not as bad as just watching someone teach. A 2011 study led by Michael Strong at the University of California identified a group of teachers who had raised student achievement and a group who had not. They showed videos of the teachers’ lessons to observers and asked them to guess which were in which group. The judges tended to agree on who was effective and ineffective, but, 60% of the time, they were wrong. They would have been better off flipping a coin. This applies even to experts: the Gates Foundation funded a vast study of lesson observations, and found that the judgments of trained inspectors were highly inconsistent.
THE LAST STRONGHOLD of the hunch is the interview. Most employers and some universities use interviews when deciding whom to hire or admit. In a conventional, unstructured interview, the candidate spends half an hour or so in a conversation directed at the whim of the interviewer. If you’re the one deciding, this is a reassuring practice: you feel as if you get a richer impression of the person than from the bare facts on their résumé, and that this enables you to make a better decision. The first theory may be true; the second is not.
Decades of scientific evidence suggest that the interview is close to useless as a tool for predicting how someone will do a job. Study after study has found that organisations make better decisions when they go by objective data, like the candidate’s qualifications, track record and performance in tests. “The assumption is, ‘if I meet them, I’ll know’,” says Jason Dana, of Yale School of Management, one of many scholars who have looked into the interview’s effectiveness. “People are wildly over-confident in their ability to do this, from a short meeting.” When employers adopt a holistic approach, combining the data with hunches formed in interviews, they make worse decisions than they do going on facts alone….” (More)
Collaborative Innovation
Book by Mitsuru Kodama on “Developing Health Support Ecosystems…With the development of the aging society and the increased importance of emergency risk management in recent years, a large number of medical care challenges – advancing medical treatments, care & support, pharmacological treatments, greater health awareness, emergency treatments, telemedical treatment and care, the introduction of electronic charts, and rising costs – are emerging as social issues throughout the whole world. Hospitals and other medical institutions must develop and maintain superior management to achieve systems that can provide better medical care, welfare and health while enabling “support innovation.” Key medical care, welfare and health industries play a crucial role in this, but also of importance are management innovation models that enable “collaborative innovation” by closely linking diverse fields such as ICT, energy, electric equipment, machinery and transport.
Looking across different industries, Collaborative Innovation offers new knowledge and insights on the extraordinary value and increasing necessity of collaboration across different organizations in improving the health and lives of people. It breaks new ground with its research theme of building “health support ecosystems,” focusing on protecting people through collaborative innovation. This book opens up new, wide-ranging interdisciplinary academic research domains combining the humanities with science across various areas including general business administration, economics, information technology, medical informatics and drug information science….(More)”