Building Democratic Infrastructure

Curated on Posted on by Stefaan Verhulst

Hollie Russon Gilman, K. Sabeel Rahman, & Elena Souris in Stanford Social Innovation Review: “How can civic engagement be effective in fostering an accountable, inclusive, and responsive American democracy? This question has gained new relevance under the Trump administration, where a sense of escalating democratic crises risks obscuring any nascent grassroots activism. Since the 2016 election, the twin problems of authoritarianism and insufficient political accountability have attracted much attention, as has the need to mobilize for near-future elections. These things are critical for the long-term health of American democracy, but at the same time, it’s not enough to focus solely on Washington or to rely on electoral campaigns to salvage our democracy.

Conventional civic-engagement activities such as canvassing, registering voters, signing petitions, and voting are largely transient experiences, offering little opportunity for civic participation once the election is over. And such tactics often do little to address the background conditions that make participation more difficult for marginalized communities.

To address these issues, civil society organization and local governments should build more long-term and durable democratic infrastructure, with the aim of empowering constituencies to participate in meaningful and concrete ways, overcoming division within our societies, and addressing a general distrust of government by enhancing accountability.

In our work with groups like the Center for Rural Strategies in Appalachia and the Chicago-based Inner-City Muslim Action Network, as well as with local government officials in Eau Claire, Wis. and Boston, Mass., we identify two areas where can help build a broader democratic infrastructure for the long haul. First, we need to support and radically expand efforts by local-level government officials to innovate more participatory and accountable forms of policymaking. And then we need to continue developing new methods of diverse, cross-constituency organizing that can help build more inclusive identities and narratives. Achieving this more-robust form of democracy will require that many different communities—including organizers and advocacy groups, policymakers and public officials, technologists, and funders—combine their efforts….(More)”.

Informed Diet Selection: Increasing Food Literacy through Crowdsourcing

Curated on Posted on by Stefaan Verhulst

Paper by Niels van Berkel et al: “The obesity epidemic is one of the greatest threats to health and wellbeing throughout much of the world. Despite information on healthy lifestyles and eating habits being more accessible than ever before, the situation seems to be growing worse  And for a person who wants to lose weight there are practically unlimited options and temptations to choose from. Food, or dieting, is a booming business, and thousands of companies and vendors want their cut by pitching their solutions, particularly online (Google) where people first turn to find weight loss information. In our work, we have set to harness the wisdom of crowds in making sense of available diets, and to offer a direct way for users to increase their food literacy during diet selection.  The Diet Explorer is a crowd-powered online knowledge base that contains an arbitrary number of weight loss diets that are all assessed in terms of an arbitrary set of criteria…(More)”.

Digitalization, Collective Intelligence, and Entrepreneurship in the Care Sector

Curated on Posted on by Stefaan Verhulst

Chapter by Erik Lakomaa in Managing Digital Transformation edited by Per Andersson, Staffan Movin, Magnus Mähring, Robin Teigland, and Karl Wennberg: “Parallel to the formal private or public (health) care organisations in Europe, a number of community-driven care projects have emerged. They may supplement the formal organisations by reducing costs or provide care to groups that, for some reason, do not have access to the formal sector. Drawing upon the Ostromian theory of commons and on previous theory and research on open software development (which share some of the characteristics of “open care”), I use historical cases of community-driven care to examine the prospects for such projects to help remedy the cost crisis in the care sector. I explore under which institutional settings “open care” is likely to emerge and when open care projects have potential to scale. It is found that open care is more likely to emerge and prosper when it builds upon existing organisational structures: where the participants do not need to create new hierarchies or governance structures, and where they share common values…(More)”.

How AI-Driven Insurance Could Reduce Gun Violence

Curated on Posted on by Stefaan Verhulst

Jason Pontin at WIRED: “As a political issue, guns have become part of America’s endless, arid culture wars, where Red and Blue tribes skirmish for political and cultural advantage. But what if there were a compromise? Economics and machine learning suggest an answer, potentially acceptable to Americans in both camps.

Economists sometimes talk about “negative externalities,” market failures where the full costs of transactions are borne by third parties. Pollution is an externality, because society bears the costs of environmental degradation. The 20th-century British economist Arthur Pigou, who formally described externalities, also proposed their solution: so-called “Pigovian taxes,” where governments charge producers or customers, reducing the quantity of the offending products and sometimes paying for ameliorative measures. Pigovian taxes have been used to fight cigarette smoking or improve air quality, and are the favorite prescription of economists for reducing greenhouse gases. But they don’t work perfectly, because it’s hard for governments to estimate the costs of externalities.

Gun violence is a negative externality too. The choices of millions of Americans to buy guns overflow into uncaptured costs for society in the form of crimes, suicides, murders, and mass shootings. A flat gun tax would be a blunt instrument: It could only reduce gun violence by raising the costs of gun ownership so high that almost no one could legally own a gun, which would swell the black market for guns and probably increase crime. But insurers are very good at estimating the risks and liabilities of individual choices; insurance could capture the externalities of gun violence in a smarter, more responsive fashion.

Here’s the proposed compromise: States should require gun owners to be licensed and pay insurance, just as car owners must be licensed and insured today….

The actuaries who research risk have always considered a wide variety of factors when helping insurers price the cost of a policy. Car, home, and life insurance can vary according to a policy holder’s age, health, criminal record, employment, residence, and many other variables. But in recent years, machine learning and data analytics have provided actuaries with new predictive powers. According to Yann LeCun, the director of artificial intelligence at Facebook and the primary inventor of an important technique in deep learning called convolution, “Deep learning systems provide better statistical models with enough data. They can be advantageously applied to risk evaluation, and convolutional neural nets can be very good at prediction, because they can take into account a long window of past values.”

State Farm, Liberty Mutual, Allstate, and Progressive Insurance have all used algorithms to improve their predictive analysis and to more accurately distribute risk among their policy holders. For instance, in late 2015, Progressive created a telematics app called Snapshot that individual drivers used to collect information on their driving. In the subsequent two years, 14 billion miles of driving data were collected all over the country and analyzed on Progressive’s machine learning platform, H20.ai, resulting in discounts of $600 million for their policy holders. On average, machine learning produced a $130 discount for Progressive customers.

When the financial writer John Wasik popularized gun insurance in a series of posts in Forbes in 2012 and 2013, the NRA’s argument about prior constraints was a reasonable objection. Wasik proposed charging different rates to different types of gun owners, but there were too many factors that would have to be tracked over too long a period to drive down costs for low-risk policy holders. Today, using deep learning, the idea is more practical: Insurers could measure the interaction of dozens or hundreds of factors, predicting the risks of gun ownership and controlling costs for low-risk gun owners. Other, more risky bets might pay more. Some very risky would-be gun owners might be unable to find insurance at all. Gun insurance could even be dynamically priced, changing as the conditions of the policy holders’ lives altered, and the gun owners proved themselves better or worse risks.

Requiring gun owners to buy insurance wouldn’t eliminate gun violence in America. But a political solution to the problem of gun violence is chimerical….(More)”.

The nation that thrived by ‘nudging’ its population

Curated on Posted on by Stefaan Verhulst

Sarah Keating at the BBC: “Singapore has grown from almost nothing in 50 years. And this well-regarded society has been built up, partly, thanks to the power of suggestion….But while Singapore still loves a public campaign, it has moved toward a more nuanced approach of influencing the behaviours of its inhabitants.

Nudging the population isn’t uniquely Singaporean; more than 150 governments across the globe have tried nudging as a better choice. A medical centre in Qatar, for example, managed to increase the uptake of diabetes screening by offering to test people during Ramadan. People were fasting anyway so the hassle of having to not eat before your testing was removed. It was convenient and timely, two key components to a successful nudge.

Towns in Iceland, India and China have trialed ‘floating zebra crossings’ – 3D optical illusions which make the crossings look like they are floating above the ground designed to urge drivers to slow down. And in order to get people to pay their taxes in the UK, people were sent a letter saying that the majority of taxpayers pay their taxes on time which has had very positive results. Using social norms make people want to conform.

In Singapore some of the nudges you come across are remarkably simple. Rubbish bins are placed away from bus stops to separate smokers from other bus users. Utility bills display how your energy consumption compares to your neighbours. Outdoor gyms have been built near the entrances and exits of HDB estates so they are easy to use, available and prominent enough to consistently remind you. Train stations have green and red arrows on the platform indicating where you should stand so as to speed up the alighting process. If you opt to travel at off-peak times (before 0700), your fare is reduced.

And with six out of 10 Singaporeans eating at food courts four or more times a week, getting people to eat healthier is also a priority. As well as the Healthier Dining Programme, some places make it cheaper to take the healthy option. If you’re determined to eat that Fried Bee Hoon at Khoo Teck Puat Hospital, for example, you’re going to have to pay more for it.

The National Steps Challenge, which encourages participants to get exercising using free step counters in exchange for cash and prizes, has been so successful that the programme name has been trademarked. This form of gamifying is one of the more successful ways of engaging users in achieving objectives. Massive queues to collect the free fitness tracker demonstrated the programme’s popularity.

And it’s not just in tangible ways that nudges are being rolled out. Citizens pay into a mandatory savings programme called the Central Provident Fund at a high rate. This can be accessed for healthcare, housing and pensions as a way to get people to save long-term because evidence has shown that people are too short-sighted when it comes to financing their future

And as the government looks to increase the population 30% by 2030, the city-state’s ageing population and declining birth rate is a problem. The Baby Bonus Scheme goes some way to encouraging parents to have more children by offering cash incentives. Introduced in 2001, the scheme means that all Singapore citizens who have a baby get a cash gift as well as a money into a Child Development Account (CDA) which can be used to pay for childcare and healthcare. The more children you have, the more money you get – since March 2016 you get a cash gift of $8,000 SGD (£4,340) for your first child and up to $10,000 (£5,430) for the third and any subsequent children, as well as money into your CDA.

So do people like being nudged? Is there any cultural difference in the way people react to being swayed toward a ‘better’ choice or behaviour? Given the breadth of the international use of behavioural insights, there is relatively little research done into whether people are happy about it….(More)”.

How Blockchain can benefit migration programmes and migrants

Curated on Posted on by Stefaan Verhulst

Solon Ardittis at the Migration Data Portal: “According to a recent report published by CB Insights, there are today at least 36 major industries that are likely to benefit from the use of Blockchain technology, ranging from voting procedures, critical infrastructure security, education and healthcare, to car leasing, forecasting, real estate, energy management, government and public records, wills and inheritance, corporate governance and crowdfunding.

In the international aid sector, a number of experiments are currently being conducted to distribute aid funding through the use of Blockchain and thus to improve the tracing of the ways in which aid is disbursed. Among several other examples, the Start Network, which consists of 42 aid agencies across five continents, ranging from large international organizations to national NGOs, has launched a Blockchain-based project that enables the organization both to speed up the distribution of aid funding and to facilitate the tracing of every single payment, from the original donor to each individual assisted.

As Katherine Purvis of The Guardian noted, “Blockchain enthusiasts are hopeful it could be the next big development disruptor. In providing a transparent, instantaneous and indisputable record of transactions, its potential to remove corruption and provide transparency and accountability is one area of intrigue.”

In the field of international migration and refugee affairs, however, Blockchain technology is still in its infancy.

One of the few notable examples is the launch by the United Nations (UN) World Food Programme (WFP) in May 2017 of a project in the Azraq Refugee Camp in Jordan which, through the use of Blockchain technology, enables the creation of virtual accounts for refugees and the uploading of monthly entitlements that can be spent in the camp’s supermarket through the use of an authorization code. Reportedly, the programme has contributed to a reduction by 98% of the bank costs entailed by the use of a financial service provider.

This is a noteworthy achievement considering that organizations working in international relief can lose up to 3.5% of each aid transaction to various fees and costs and that an estimated 30% of all development funds do not reach their intended recipients because of third-party theft or mismanagement.

At least six other UN agencies including the UN Office for Project Services (UNOPS), the UN Development Programme (UNDP), the UN Children’s Fund (UNICEF), UN Women, the UN High Commissioner for Refugees (UNHCR) and the UN Development Group (UNDG), are now considering Blockchain applications that could help support international assistance, particularly supply chain management tools, self-auditing of payments, identity management and data storage.

The potential of Blockchain technology in the field of migration and asylum affairs should therefore be fully explored.

At the European Union (EU) level, while a Blockchain task force has been established by the European Parliament to assess the ways in which the technology could be used to provide digital identities to refugees, and while the European Commission has recently launched a call for project proposals to examine the potential of Blockchain in a range of sectors, little focus has been placed so far on EU assistance in the field of migration and asylum, both within the EU and in third countries with which the EU has negotiated migration partnership agreements.

This is despite the fact that the use of Blockchain in a number of major programme interventions in the field of migration and asylum could help improve not only their cost-efficiency but also, at least as importantly, their degree of transparency and accountability. This at a time when media and civil society organizations exercise increased scrutiny over the quality and ethical standards of such interventions.

In Europe, for example, Blockchain could help administer the EU Asylum, Migration and Integration Fund (AMIF), both in terms of transferring funds from the European Commission to the eligible NGOs in the Member States and in terms of project managers then reporting on spending. This would help alleviate many of the recurrent challenges faced by NGOs in managing funds in line with stringent EU regulations.

As crucially, Blockchain would have the potential to increase transparency and accountability in the channeling and spending of EU funds in third countries, particularly under the Partnership Framework and other recent schemes to prevent irregular migration to Europe.

A case in point is the administration of EU aid in response to the refugee emergency in Greece where, reportedly, there continues to be insufficient oversight of the full range of commitments and outcomes of large EU-funded investments, particularly in the housing sector. Another example is the set of recent programme interventions in Libya, where a growing number of incidents of human rights abuses and financial mismanagement are being brought to light….(More)”.

Data Collaboratives can transform the way civil society organisations find solutions

Curated on Posted on by Stefaan Verhulst

Stefaan G. Verhulst at Disrupt & Innovate: “The need for innovation is clear: The twenty-first century is shaping up to be one of the most challenging in recent history. From climate change to income inequality to geopolitical upheaval and terrorism: the difficulties confronting International Civil Society Organisations (ICSOs) are unprecedented not only in their variety but also in their complexity. At the same time, today’s practices and tools used by ICSOs seem stale and outdated. Increasingly, it is clear, we need not only new solutions but new methods for arriving at solutions.

Data will likely become more central to meeting these challenges. We live in a quantified era. It is estimated that 90% of the world’s data was generated in just the last two years. We know that this data can help us understand the world in new ways and help us meet the challenges mentioned above. However, we need new data collaboration methods to help us extract the insights from that data.

UNTAPPED DATA POTENTIAL

For all of data’s potential to address public challenges, the truth remains that most data generated today is in fact collected by the private sector – including ICSOs who are often collecting a vast amount of data – such as, for instance, the International Committee of the Red Cross, which generates various (often sensitive) data related to humanitarian activities. This data, typically ensconced in tightly held databases toward maintaining competitive advantage or protecting from harmful intrusion, contains tremendous possible insights and avenues for innovation in how we solve public problems. But because of access restrictions and often limited data science capacity, its vast potential often goes untapped.

DATA COLLABORATIVES AS A SOLUTION

Data Collaboratives offer a way around this limitation. They represent an emerging public-private partnership model, in which participants from different areas — including the private sector, government, and civil society — come together to exchange data and pool analytical expertise.

While still an emerging practice, examples of such partnerships now exist around the world, across sectors and public policy domains. Importantly several ICSOs have started to collaborate with others around their own data and that of the private and public sector. For example:

  • Several civil society organisations, academics, and donor agencies are partnering in the Health Data Collaborative to improve the global data infrastructure necessary to make smarter global and local health decisions and to track progress against the Sustainable Development Goals (SDGs).
  • Additionally, the UN Office for the Coordination of Humanitarian Affairs (UNOCHA) built Humanitarian Data Exchange (HDX), a platform for sharing humanitarian from and for ICSOs – including Caritas, InterAction and others – donor agencies, national and international bodies, and other humanitarian organisations.

These are a few examples of Data Collaboratives that ICSOs are participating in. Yet, the potential for collaboration goes beyond these examples. Likewise, so do the concerns regarding data protection and privacy….(More)”.

Data journalism and the ethics of publishing Twitter data

Curated on Posted on by Stefaan Verhulst

Matthew L. Williams at Data Driven Journalism: “Collecting and publishing data collected from social media sites such as Twitter are everyday practices for the data journalist. Recent findings from Cardiff University’s Social Data Science Lab question the practice of publishing Twitter content without seeking some form of informed consent from users beforehand. Researchers found that tweets collected around certain topics, such as those related to terrorism, political votes, changes in the law and health problems, create datasets that might contain sensitive content, such as extreme political opinion, grossly offensive comments, overly personal revelations and threats to life (both to oneself and to others). Handling these data in the process of analysis (such as classifying content as hateful and potentially illegal) and reporting has brought the ethics of using social media in social research and journalism into sharp focus.

Ethics is an issue that is becoming increasingly salient in research and journalism using social media data. The digital revolution has outpaced parallel developments in research governance and agreed good practice. Codes of ethical conduct that were written in the mid twentieth century are being relied upon to guide the collection, analysis and representation of digital data in the twenty-first century. Social media is particularly ethically challenging because of the open availability of the data (particularly from Twitter). Many platforms’ terms of service specifically state users’ data that are public will be made available to third parties, and by accepting these terms users legally consent to this. However, researchers and data journalists must interpret and engage with these commercially motivated terms of service through a more reflexive lens, which implies a context sensitive approach, rather than focusing on the legally permissible uses of these data.

Social media researchers and data journalists have experimented with data from a range of sources, including Facebook, YouTube, Flickr, Tumblr and Twitter to name a few. Twitter is by far the most studied of all these networks. This is because Twitter differs from other networks, such as Facebook, that are organised around groups of ‘friends’, in that it is more ‘open’ and the data (in part) are freely available to researchers. This makes Twitter a more public digital space that promotes the free exchange of opinions and ideas. Twitter has become the primary space for online citizens to publicly express their reaction to events of national significance, and also the primary source of data for social science research into digital publics.

The Twitter streaming API provides three levels of data access: the free random 1% that provides ~5M tweets daily and the random 10% and 100% (chargeable or free to academic researchers upon request). Datasets on social interactions of this scale, speed and ease of access have been hitherto unrealisable in the social sciences and journalism, and have led to a flood of journal articles and news pieces, many of which include tweets with full text content and author identity without informed consent. This is presumably because of Twitter’s ‘open’ nature, which leads to the assumption that ‘these are public data’ and using it does not require the rigor and scrutiny of an ethical oversight. Even when these data are scrutinised, journalists don’t need to be convinced by the ‘public data’ argument, due to the lack of a framework to evaluate the potential harms to users. The Social Data Science Lab takes a more ethically reflexive approach to the use of social media data in social research, and carefully considers users’ perceptions, online context and the role of algorithms in estimating potentially sensitive user characteristics.

A recent Lab survey conducted into users’ perceptions of the use of their social media posts found the following:

  • 94% were aware that social media companies had Terms of Service
  • 65% had read the Terms of Service in whole or in part
  • 76% knew that when accepting Terms of Service they were giving permission for some of their information to be accessed by third parties
  • 80% agreed that if their social media information is used in a publication they would expect to be asked for consent
  • 90% agreed that if their tweets were used without their consent they should be anonymized…(More)”.

Can Crowdsourcing and Collaboration Improve the Future of Human Health?

Curated on Posted on by Stefaan Verhulst

Ben Wiegand at Scientific American: “The process of medical research has been likened to searching for a needle in a haystack. With the continued acceleration of novel science and health care technologies in areas like artificial intelligence, digital therapeutics and the human microbiome we have tremendous opportunity to search the haystack in new and exciting ways. Applying these high-tech advances to today’s most pressing health issues increases our ability to address the root cause of disease, intervene earlier and change the trajectory of human health.

Global crowdsourcing forums, like the Johnson & Johnson Innovation QuickFire Challenges, can be incredibly valuable tools for searching the “haystack.” An initiative of JLABS—the no-strings-attached incubators of Johnson & Johnson Innovation—these contests spur scientific diversity through crowdsourcing, inspiring and attracting fresh thinking. They seek to stimulate the global innovation ecosystem through funding, mentorship and access to resources that can kick-start breakthrough ideas.

Our most recent challenge, the Next-Gen Baby Box QuickFire Challenge, focused on updating the 80-year-old “Finnish baby box,” a free, government-issued maternity supply kit for new parents containing such essentials as baby clothing, bath and sleep supplies packaged in a sleep-safe cardboard box. Since it first launched, the baby box has, together with increased use of maternal healthcare services early in pregnancy, helped to significantly reduce the Finnish infant mortality rate from 65 in every 1,000 live births in the 1930s to 2.5 per 1,000 today—one of the lowest rates in the world.

Partnering with Finnish innovation and government groups, we set out to see if updating this popular early parenting tool with the power of personalized health technology might one day impact Finland’s unparalleled high rate of type 1 diabetes. We issued the call globally to help create “the Baby Box of the future” as part of the Janssen and Johnson & Johnson Innovation vision to create a world without disease by accelerating science and delivering novel solutions to prevent, intercept and cure disease. The contest brought together entrepreneurs, researchers and innovators to focus on ideas with the potential to promote child health, detect childhood disease earlier and facilitate healthy parenting.

Incentive challenges like this award participants who have most effectively met a predefined objective or task. It’s a concept that emerged well before our time—as far back as the 18th century—from Napoleon’s Food Preservation Prize, meant to find a way to keep troops fed during battle, to the Longitude Prize for improved marine navigation.

Research shows that prize-based challenges that attract talent across a wide range of disciplines can generate greater risk-taking and yield more dramatic solutions….(More)”.

Observation and Experiment: An Introduction to Causal Inference

Curated on Posted on by Stefaan Verhulst

Book by Paul R. Rosenbaum: “In the daily news and the scientific literature, we are faced with conflicting claims about the effects caused by some treatments, behaviors, and policies. A daily glass of wine prolongs life, or so we are told. Yet we are also told that alcohol can cause life-threatening cancer and that pregnant women should abstain from drinking. Some say that raising the minimum wage decreases inequality while others say it increases unemployment. Investigators once confidently claimed that hormone replacement therapy reduces the risk of heart disease but today investigators confidently claim it raises that risk. How should we study such questions?

Observation and Experiment is an introduction to causal inference from one of the field’s leading scholars. Using minimal mathematics and statistics, Paul Rosenbaum explains key concepts and methods through scientific examples that make complex ideas concrete and abstract principles accessible.

Some causal questions can be studied in randomized trials in which coin flips assign individuals to treatments. But because randomized trials are not always practical or ethical, many causal questions are investigated in nonrandomized observational studies. To illustrate, Rosenbaum draws examples from clinical medicine, economics, public health, epidemiology, clinical psychology, and psychiatry. Readers gain an understanding of the design and interpretation of randomized trials, the ways they differ from observational studies, and the techniques used to remove, investigate, and appraise bias in observational studies. Observation and Experiment is a valuable resource for anyone with a serious interest in the empirical study of human health, behavior, and well-being….(More)”.