Curated findings and actionable knowledge at the intersection of technology, innovation, and governance
Country and Region: Oceania
American Samoa, Australia, Christmas Island, Cocos (Keeling) Islands, Cook Islands, Fiji, French Polynesia, Guam, Heard Island and McDonald Islands, Kiribati, Marshall Islands, Micronesia, Nauru, New Caledonia, New Zealand, Niue, Norfolk Island, Northern Mariana Islands, Palau, Papua New Guinea, Pitcairn, Samoa, Solomon Islands, Tokelau, Tonga, Tuvalu, United States Minor Outlying Islands, Vanuatu, Wallis and Futuna Islands
RMIT: “Researchers used data from mobile phone accelerometers – the tiny sensors tracking phone movement for step-counting and other apps – to predict people’s personalities.
RMIT University computer scientist Associate Professor Flora Salim said previous studies had predicted personality types using phone call and messaging activity logs, but this study showed adding accelerometer data improved accuracy
“Activity like how quickly or how far we walk, or when we pick up our phones up during the night, often follows patterns and these patterns say a lot about our personality type,” said Salim, a leading expert in human mobility data.
Physical activity is proven to have a strong correlation with human personality. Therefore, researchers analysed physical activity features from different dimensions like dispersion, diversity, and regularity.
Key findings from the study:
People with consistent movements on weekday evenings were generally more introverted, while extroverts displayed more random patterns, perhaps meeting up with different people and taking up unplanned options.
Agreeable people had more random activity patterns and were busier on weekends and weekday evenings than others.
Friendly and compassionate females made more outgoing calls than anyone else.
Conscientious, organized people didn’t tend to contact the same person often in a short space of time.
Sensitive or neurotic females often checked their phones or moved with their phones regularly well into the night, past midnight. Sensitive or neurotic males did the opposite.
More inventive and curious people tended to make and receive fewer phone calls compared to others….(More)”
Laurence Scott at the New Atlantis: “But while there are few things more clearly of-the-moment than our biggest video-sharing site, YouTube is also the closest thing we have invented to a time machine: Its channels open new routes back to the past. Over these years I’ve come to understand that my YouTube, what I make of it, is one of the most melancholy places I’ve ever visited. I find that I turn to it to experience an exquisite kind of sadness, born from its way of restoring lost time only to take it away once more. The scenes and atmospheres of the past that come and go — as copyright infringements are enforced or channels simply subside — are like digital visitations, having the capriciousness and the fragility of all revenants.
history of our era may one day be told through the hungry, wide-angle lens of YouTube. Adding hundreds of hours of footage to its archive every minute, YouTube captures the appetites and deliriums of our times. Historians of the future will be able to trace contemporary ethics in the site’s “community guidelines.” This evolving document records our prohibitions. It defines the territory of acceptable behavior and the scope of our vision, setting limits on what we can permit one another to see. How will the short-lived “Bird Box Challenge” — in which people recorded themselves performing daily tasks blindfolded, endangering themselves and others in imitation of the eponymous film — come to mark our relationship to reality in our increasingly mediated, movie-like world?
The digital era has given more people than ever before the ability to turn into instant videographers, recording life as it occurs simply by holding up a smartphone. Consider the relative rarity of citizen footage of 9/11, compared to how comprehensively that event would have been documented today.With the improving robustness of live-streaming software, it’s not surprising that video-hosting sites such as YouTube and Facebook have become broadcasters of the ever-unfolding moment. Both sites were widely criticized after the mass shooting at a mosque in Christchurch, New Zealand in March, which the perpetrator live-streamed on Facebook. The initial stream was viewed live by about two hundred people, but before Facebook removed it, users recorded it and re-uploaded it to Facebook over a million times. They also uploaded it to YouTube: A spokesperson told the Guardian that the site had received an “unprecedented” volume of content showing the horrific event, with the rate reaching a new video uploaded every second. The sites struggled to subdue these gruesome scenes, which nightmarishly returnedmore quickly than their content moderators, both human and automated, could remove them…
But while there are few things more clearly of-the-moment than our biggest video-sharing site, YouTube is also the closest thing we have invented to a time machine: Its channels open new routes back to the past. Over these years I’ve come to understand that my YouTube, what I make of it, is one of the most melancholy places I’ve ever visited. I find that I turn to it to experience an exquisite kind of sadness, born from its way of restoring lost time only to take it away once more. The scenes and atmospheres of the past that come and go — as copyright infringements are enforced or channels simply subside — are like digital visitations, having the capriciousness and the fragility of all revenants….(More)”.
Guidance paper by Andrew Skuse: “…examines the use of crowdsourcing and crisis mapping during complex emergencies. Crowdsourcing is a process facilitated by new information and communication technologies (ICTs), social media platforms and dedicated software programs. It literally seeks the help of ‘the crowd’, volunteers or the general public, to complete a series of specific tasks such as data collection, reporting, document contribution and so on. Crowdsourcing is important in emergency situations because it allows for a critical link to be forged between those affected by an emergency and those who are responding to it. Crowdsourcing is often used by news organisations to gather information, i.e. citizen journalism, as well as by organisations concerned with emergencies and humanitarian aid, i.e. International Committee of the Red Cross, the Standby Task Force and CrisisCommons. Here, crowdsourced data on voting practices and electoral violence, as well as the witnessing of human rights contraventions are helping to improve accountability and transparency in fragile or conflict-prone states. Equally, crowdsourcing facilitates the sharing of individual and collective experiences, the gathering of specialized knowledge, the undertaking of collective mapping tasks and the engagement of the public through ‘call-outs’ for information…(More)”.
Beth Noveck at apolitical: “So how do we develop these better ways of working in government? How do we create a more effective public service?
Governments, universities and philanthropies are beginning to invest in training those inside and outside of government in new kinds of public entrepreneurial skills. They are also innovating in how they teach.
Canada has created a new Digital Academy to teach digital literacy to all 250,000 public servants. Among other approaches, they have created a 15 minute podcast series called bus rides to enable public servants to learn on their commute.
The better programs, like Canada’s, combine online and face-to-face methods. This is what Israel does in its Digital Leaders program. This nine-month program alternates between web- and live meetings as well as connecting learners to a global, online network of digital innovators.
Many countries have started to teach human-centred design to public servants, instructing officials in how to design services with, not simply for the public, as WeGov does in Brazil. in Chile, the UAI University has just begun teaching quantitative skills, offering three day intensives in data science for public servants.
To ensure that learning translates into practice, Australia’s BizLab Academy, turns students into teachers by using alumni of their human-centred design training as mentors for new students.
The Cities of Orlando and Sao Paulo go beyond training public servants. Orlando includes members of the public in its training program for city officials. Because they are learning to redesign services with citizens, the public participates in the training.
The Sao Paulo Abierta program uses citizens as trainers for the city’s public servants. Over 23,000 of them have studied with these lay trainers, who possess the innovation skills that are in short supply in government. In fact, public officials are prohibited from teaching in the program altogether.
Image from the ten recommendations for training public entrepreneurs. Read all the recommendations here.
Recognising that it is not enough to train only a lone innovator or data scientist in a unit, governments are scaling their programs across the public sector.
Argentina’s LabGob has already trained 30,000 people since 2016 in its Design Academy for Public Policy with plans to expand. For every class taken, a public servant earns points, which are a prerequisite for promotions and pay raises in the Argentinian civil service.
Rather than going broad, some training programs are going deep by teaching sector-specific innovation skills. The NHS Digital Academy done in collaboration with Imperial College is a series of six online and four live sessions designed to produce leaders in health innovation.
Innovating in a bureaucracy
In my own work at the GovLab at New York University, we are helping public entrepreneurs take their public interest projects from idea to implementation using coaching, rather than training.
Training classes may be wonderful but leave people feeling abandoned when they return to their desks to face the challenge of innovating within a bureaucracy.
With hands-on mentoring from global leaders and peer-to-peer support, the GovLab Academycoaching programs try to ensure that public servants are getting the help they need to advance innovative projects.
Article by Karen Kornbluh and Ellen P. Goodman: “The first volume of Special Counsel Robert Mueller’s report notes that “sweeping” and “systemic” social media disinformation was a key element of Russian interference in the 2016 election. No sooner were Mueller’s findings public than Twitter suspended a host of bots who had been promoting a “Russiagate hoax.”
Since at least 2016, conspiracy theories like Pizzagate and QAnon have flourished online and bled into mainstream debate. Earlier this year, a British member of Parliament called social media companies “accessories to radicalization” for their role in hosting and amplifying radical hate groups after the New Zealand mosque shooter cited and attempted to fuel more of these groups. In Myanmar, anti-Rohingya forces used Facebook to spread rumors that spurred ethnic cleansing, according to a UN special rapporteur. These platforms are vulnerable to those who aim to prey on intolerance, peer pressure, and social disaffection. Our democracies are being compromised. They work only if the information ecosystem has integrity—if it privileges truth and channels difference into nonviolent discourse. But the ecosystem is increasingly polluted.
Around the world, a growing sense of urgency about the need to address online radicalization is leading countries to embrace ever more draconian solutions: After the Easter bombings in Sri Lanka, the government shut down access to Facebook, WhatsApp, and other social media platforms. And a number of countries are considering adopting laws requiring social media companies to remove unlawful hate speech or face hefty penalties. According to Freedom House, “In the past year, at least 17 countries approved or proposed laws that would restrict online media in the name of fighting ‘fake news’ and online manipulation.”
The flaw with these censorious remedies is this: They focus on the content that the user sees—hate speech, violent videos, conspiracy theories—and not on the structural characteristics of social media design that create vulnerabilities. Content moderation requirements that cannot scale are not only doomed to be ineffective exercises in whack-a-mole, but they also create free expression concerns, by turning either governments or platforms into arbiters of acceptable speech. In some countries, such as Saudi Arabia, content moderation has become justification for shutting down dissident speech.
When countries pressure platforms to root out vaguely defined harmful content and disregard the design vulnerabilities that promote that content’s amplification, they are treating a symptom and ignoring the disease. The question isn’t “How do we moderate?” Instead, it is “How do we promote design change that optimizes for citizen control, transparency, and privacy online?”—exactly the values that the early Internet promised to embody….(More)”.
Mark Stencel at Poynter: “The number of fact-checking outlets around the world has grown to 188 in more than 60 countries amid global concerns about the spread of misinformation, according to the latest tally by the Duke Reporters’ Lab.
Since the last annual fact-checking census in February 2018, we’ve added 39 more outlets that actively assess claims from politicians and social media, a 26% increase. The new total is also more than four times the 44 fact-checkers we counted when we launched our global database and map in 2014.
Globally, the largest growth came in Asia, which went from 22 to 35 outlets in the past year. Nine of the 27 fact-checking outlets that launched since the start of 2018 were in Asia, including six in India. Latin American fact-checking also saw a growth spurt in that same period, with two new outlets in Costa Rica, and others in Mexico, Panama and Venezuela.
The actual worldwide total is likely much higher than our current tally. That’s because more than a half-dozen of the fact-checkers we’ve added to the database since the start of 2018 began as election-related partnerships that involved the collaboration of multiple organizations. And some those election partners are discussing ways to continue or reactivate that work— either together or on their own.
Over the past 12 months, five separate multimedia partnerships enlisted more than 60 different fact-checking organizations and other news companies to help debunk claims and verify information for voters in Mexico, Brazil, Sweden,Nigeria and the Philippines. And the Poynter Institute’s International Fact-Checking Network assembled a separate team of 19 media outlets from 13 countries to consolidate and share their reporting during the run-up to last month’s elections for the European Parliament. Our database includes each of these partnerships, along with several others— but not each of the individual partners. And because they were intentionally short-run projects, three of these big partnerships appear among the 74 inactive projects we also document in our database.
Politics isn’t the only driver for fact-checkers. Many outlets in our database are concentrating efforts on viral hoaxes and other forms of online misinformation — often in coordination with the big digital platforms on which that misinformation spreads.
We also continue to see new topic-specific fact-checkers such as Metafact in Australia and Health Feedback in France— both of which launched in 2018 to focus on claims about health and medicine for a worldwide audience….(More)”.
Paper by Nigel Cory, Robert D. Atkinson, and Daniel Castro: “Just as there was a set of institutions, agreements, and principles that emerged out of Bretton Woods in the aftermath of World War II to manage global economic issues, the countries that value the role of an open, competitive, and rules-based global digital economy need to come together to enact new global rules and norms to manage a key driver of today’s global economy: data. Japanese Prime Minister Abe’s new initiative for “data free flow with trust,” combined with Japan’s hosting of the G20 and leading role in e-commerce negotiations at the World Trade Organization (WTO), provides a valuable opportunity for many of the world’s leading digital economies (Australia, the United States, and European Union, among others) to rectify the gradual drift toward a fragmented and less-productive global digital economy. Prime Minister Abe is right in proclaiming, “We have yet to catch up with the new reality, in which data drives everything, where the D.F.F.T., the Data Free Flow with Trust, should top the agenda in our new economy,” and right in his call “to rebuild trust toward the system for international trade. That should be a system that is fair, transparent, and effective in protecting IP and also in such areas as e-commerce.”
The central premise of this effort should be a recognition that data and data-driven innovation are a force for good. Across society, data innovation—the use of data to create value—is creating more productive and innovative economies, transparent and responsive governments, better social outcomes (improved health care, safer and smarter cities, etc.).3But to maximize the innovative and productivity benefits of data, countries that support an open, rules-based global trading system need to agree on core principles and enact common rules. The benefits of a rules-based and competitive global digital economy are at risk as a diverse range of countries in various stages of political and economic development have policy regimes that undermine core processes, especially the flow of data and its associated legal responsibilities; the use of encryption to protect data and digital activities and technologies; and the blocking of data constituting illegal, pirated content….(More)”.
Paper by Carmel Martin, Keith Stockman and Joachim P. Sturmberg: “Big data provide the hope of major health innovation and improvement. However, there is a risk of precision medicine based on predictive biometrics and service metrics overwhelming anticipatory human centered sense-making, in the fuzzy emergence of personalized (big data) medicine. This is a pressing issue, given the paucity of individual sense-making data approaches. A human-centric model is described to address the gap in personal particulars and experiences in individual health journeys. The Patient Journey Record System (PaJR) was developed to improve human-centric healthcare by harnessing the power of person-centred data analytics using complexity theory, iterative health services and information systems applications over a 10 year period. PaJR is a web-based service supporting usually bi-weekly telephone calls by care guides to individuals at risk of readmissions.
This chapter describes a case study of the timing and context of readmissions using human (biopsychosocial) particular data which is based on individual experiences and perceptions with differing patterns of instability. This Australian study, called MonashWatch, is a service pilot using the PaJR system in the Dandenong Hospital urban catchment area of the Monash Health network. State public hospital big data – the Victorian HealthLinks Chronic Care algorithm provides case finding for high risk of readmission based on disease and service metrics. Monash Watch was actively monitoring 272 of 376 intervention patients, with 195 controls over 22 months (ongoing) at the time of the study.
Three randomly selected intervention cases describe a dynamic interplay of self-reported change in health and health care, medication, drug and alcohol use, social support structure. While the three cases were at similar predicted risk initially, their cases represented different statistically different time series configurations and admission patterns. Fluctuations in admission were associated with (mal)alignment of bodily health with psychosocial and environmental influences. However human interpretation was required to make sense of the patterns as presented by the multiple levels of data.
A human-centric model and framework for health journey monitoring illustrates the potential for ‘small’ personal experience data to inform clinical care in the era of big data predominantly based on biometrics and medical industrial process. ….(More)”.
Paulo A. de Souza Jr. at Nature: “The recent Brumadinho dam disaster in Brazil is an example of infrastructure failure with catastrophic consequences. Over 300 people were reported dead or missing, and nearly 400 more were rescued alive. The environmental impact is massive and difficult to quantify. The frequency of these disasters demonstrates that the current assets for monitoring integrity and generating alerting managers, authorities and the public to ongoing change in tailings are, in many cases, not working as they should. There is also the need for adequate prevention procedures. Monitoring can be perfect, but without timely and appropriate action, it will be useless. Good management therefore requires quality data. Undisputedly, management practices of industrial sites, including audit procedures, must improve, and data and metadata available from preceding accidents should be better used. There is a rich literature available about design, construction, operation, maintenance and decommissioning of tailing facilities. These include guidelines, standards, case studies, technical reports, consultancy and audit practices, and scientific papers. Regulation varies from country to country and in some cases, like Australia and Canada, it is controlled by individual state agencies. There are, however, few datasets available that are shared with the technical and scientific community more globally; particularly for prior incidents. Conspicuously lacking are comprehensive data related to monitoring of large infrastructures such as mining dams.
Today, Scientific Data published a Data Descriptor presenting a dataset obtained from 54 laboratory experiments on the breaching of fluvial dikes because of flow overtopping. (Re)use of such data can help improve our understanding of fundamental processes underpinning industrial infrastructure collapse (e.g., fluvial dike breaching, mining dam failure), and assess the accuracy of numerical models for the prediction of such incidents. This is absolutely essential for better management of floods, mitigation of dam collapses, and similar accidents. The authors propose a framework that could exemplify how data involving similar infrastructure can be stored, shared, published, and reused…(More)”.
Cass Sunstein at The Hill: “Nudges are private or public initiatives that steer people in particular directions but that also allow them to go their own way.
A reminder is a nudge; so is a warning. A GPS device nudges; a default rule, automatically enrolling people in some program, is a nudge.
To qualify as a nudge, an initiative must not impose significant economic incentives. A subsidy is not a nudge; a tax is not a nudge; a fine or a jail sentence is not a nudge. To count as such, a nudge must fully preserve freedom of choice.
In 2009, University of Chicago economist Richard Thaler and I co-wrote a book that drew on research in psychology and behavioral economics to help people and institutions, both public and private, improve their decision-making.
In the 10 years since “Nudge” was published, there has been an extraordinary outpouring of new thought and action, with particular reference to public policy.
Behavioral insight teams, or “nudge units” of various sorts, can be found in many nations, including Australia, Canada, Denmark, United Kingdom, the United States, the Netherlands, Germany, Singapore, Japan and Qatar.
Those teams are delivering. By making government more efficient, and by improving safety and health, they are helping to save a lot of money and a lot of lives. And in many countries, including the U.S., they don’t raise partisan hackles; both Democrats and Republicans have enthusiastically embraced them.
Still, there are a lot of mistakes and misconceptions out there, and they are diverting attention and hence stalling progress. Here are the three big ones:
1. Nudges do not respect freedom. …
2. Nudges are based on excessive trust in government...
