New technology and ‘old’ think tanks

Curated on Posted on by Stefaan Verhulst

Article by Tom Ascott: ‘Expert or academic carries out research. Generates rigorous 40-page report. Comms officer is asked to promote said report. Launch event, press release, tweets. Maybe a video. Maybe an infographic’. This is formula for how think tanks seek to influence policy matters. It is how they build, maintain and increase their credibility. While it has arguably worked since the expansion of the think tank community following the Cold War, this model of disseminating information is now fraying.

It is not a sustainable model because it is largely, and in some ways even designed to be, inaccessible to a larger and now increasingly inquisitive public. This inaccessibility is only accentuated by the large number of institutes specialising in niche subjects, which are often more agile and better able to leverage technology to their advantage. Tastes also change: for many of today’s potential punters, the enforced networking associated with think tank events may be considered a negative experience; being able to watch lectures and conferences from home, alone, may now be considered of greater benefit.

The publication of written reports and holding launch events, unlike broader communications methods, are often targeting specific policymakers or stakeholders. In the short term, this strategy may work for think tanks, in the sense that they can address their core audiences. Still, the model faces two main hurdles.

One is providing policymakers with what they need. Paul C Avey and Michael C Desch, two US-based academics, found in their study ‘What Do Policymakers Want From Us?’ that ‘the only methodology that more than half of the respondents characterised as “not very useful” or “not useful at all” was formal models’. The respondents in their study thought that the best policy advice came from practitioners or journalists, those looking at underlying causes. Yet some ‘think tankers’ continue to take a dim view of journalism, for the very reasons which make journalism important: rapidly responding to developing events, and offering a broader perspective, usually shorn of the uncertainties inherent in deeper knowledge or analysis.

The second, broader, problem is how think tanks are perceived. US President Barack Obama famously ‘disdain[ed]’ foreign policy establishments and institutes, and those who are not engaged with them perceive them as being elitist….(More)”.

How can Indigenous Data Sovereignty (IDS) be promoted and mainstreamed within open data movements?

Curated on Posted on by Stefaan Verhulst

OD Mekong Blog: “Considering Indigenous rights in the open data and technology space is a relatively new concept. Called “Indigenous Data Sovereignty” (IDS), it is defined as “the right of Indigenous peoples to govern the collection, ownership, and application of data about Indigenous communities, peoples, lands, and resources”, regardless of where the data is held or by whom. By default, this broad and all-encompassing framework bucks fundamental concepts of open data, and asks traditional open data practitioners to critically consider how open data can be used as a tool of transparency that also upholds equal rights for all…

Four main areas of concern and relevant barriers identified by participants were:

Self-determination to identify their membership

  • National governments in many states, particularly across Asia and South America, still do not allow for self-determination under the law. Even when legislation offers some recognition these are scarcely enforced, and mainstream discourse demonises Indigenous self-determination.
  • However, because Indigenous and ethnic minorities frequently face hardships and persecution on a daily basis, there were concerns about the applicability of data sovereignty at the local levels.

Intellectual Property Protocols

  • It has become the norm in the everyday lives of people for big tech companies to extract data in excessive amounts. How do disenfranchised communities combat this?
  • Indigenous data is often misappropriated to the detriment of Indigenous peoples.
  • Intellectual property concepts, such as copyright, are not an ideal approach for protecting Indigenous knowledge and intellectual property rights because they are rooted in commercialistic ideals that are difficult to apply to Indigenous contexts. This is especially so because many groups do not practice commercialization in the globalized context. Also, as a concept based on exclusivity (i.e., when licenses expire knowledge gets transferred over as public goods), it doesn’t take into account the collectivist ideals of Indigenous peoples.

Data Governance

  • Ultimately, data protection is about protecting lives. Having the ability to use data to direct decisions on Indigenous development places greater control in the hands of Indigenous peoples.
  • National governments are barriers due to conflicts in sovereignty interests. Nation-state legal systems are often contradictory to customary laws, and thus don’t often reflect rights-based approaches.

Consent — Free Prior and Informed Consent (FPIC)

  • FPIC, referring to a set of principles that define the process and mechanisms that apply specifically to Indigenous peoples in relation to the exercise of their collective rights, is a well-known phrase. They are intended to ensure that Indigenous peoples are treated as sovereign peoples with their own decision-making power, customary governance systems, and collective decision-making processes, but it is questionable as to what level one can ensure true FPIC in the Indigenous context.²
  • It remains a question as too how effectively due diligence can be applied to research protocols, so as to ensure that the rights associated with FPIC and the UNDRIP framework are upheld….(More)”.

Nudging Us To Health

Curated on Posted on by Stefaan Verhulst

Blog by Chuck Dinerstein: “Policymakers love nudges – predictably altering people’s behavior without forbidding choices or changing economic incentives. That is especially true for our food choices since we all eat, and it is clear that diet does have some effect on our health. The “promise to improve people’s diet at a fraction of the cost of economic incentives or education programs without imposing new taxes or constraints on business or consumers,” is a have my cake and eat it world. A study by the masters of understanding our behavior, the marketers, sheds light on which nudges work best….

Cognitive nudges include those often-invoked nutritional labels or evaluative labels that skip the verbiage and are green for buy, red for put it back on the shelf, and yellow for it’s up to you. Visibility enhancements refer to getting the item into your visual field at the right time and place, like eye-level on the shelf or in the check-out line. Nudges that appeal to our feelings include all the images making food appealing, think food porn, or simple slogans, e.g., “natural,” “healthy choice,” or ”just like mama made.” (Assuming mom was a good cook). As the researchers point out, there are no labels on foods that promote guilt or concern as we see on tobacco’s Surgeon General warnings. Finally, there are behavioral nudges that make one choice easier than another,  precut fruits and vegetables, or big utensils for vegetables, and tiny ones for fried chicken. It also includes smaller plates that might look fuller or large drink glasses that are 80% ice

Here is the graphic of their findings:

Graphic by Pierre Chandon

  • Nudges do move behavior, although the effect is small, a change of about 124 calories, or in the author’s words “eight fewer teaspoons of sugar.” For those who do not eat sugar by the spoonful, you might consider this to be 1 ½ Jelly Filled Munchkins.
  • As the graph shows, appealing to our intellect works the least well, appeals to our emotions are twice as effective, and making it easy to do the “right thing” works the best, five-fold better, than educating us.
  • Nudges are better at decreasing bad choices than increasing good ones. “it is easier to make people eat less chocolate cake than to make them eat more vegetables…” In fact, total eating was basically unaffected by nudges, again as the authors write, “this finding is consistent with what we know about the difficulty – perhaps even pointlessness – of hypocaloric diets.”
  • The effect of nudges is a lot less when you’re shopping than when you’re eating.
  • The effect of nudges in isolation seems more pronounced statistically speaking than when considered in conjunction with where they take place and other contextual information.
  • Nudges were equally effective, or ineffective, with adults and children; although you might expect that adults would be more responsive given their presumably better understanding of diet and health

The study makes two points. First, nudges can move behavior a little bit, and the fact that it has few recognized costs means that policymakers will continue to utilize them. Second, it provides an analytic framework highlighting areas where the evidence is scant and could, I suggest, nudge researchers to explore….(More)”.

How an AI Utopia Would Work

Curated on Posted on by Stefaan Verhulst

Sami Mahroum at Project Syndicate: “…It is more than 500 years since Sir Thomas More found inspiration for the “Kingdom of Utopia” while strolling the streets of Antwerp. So, when I traveled there from Dubai in May to speak about artificial intelligence (AI), I couldn’t help but draw parallels to Raphael Hythloday, the character in Utopia who regales sixteenth-century Englanders with tales of a better world.

As home to the world’s first Minister of AI, as well as museums, academies, and foundations dedicated to studying the future, Dubai is on its own Hythloday-esque voyage. Whereas Europe, in general, has grown increasingly anxious about technological threats to employment, the United Arab Emirates has enthusiastically embraced the labor-saving potential of AI and automation.

There are practical reasons for this. The ratio of indigenous-to-foreign labor in the Gulf states is highly imbalanced, ranging from a high of 67% in Saudi Arabia to a low of 11% in the UAE. And because the region’s desert environment cannot support further population growth, the prospect of replacing people with machines has become increasingly attractive.

But there is also a deeper cultural difference between the two regions. Unlike Western Europe, the birthplace of both the Industrial Revolution and the “Protestant work ethic,” Arab societies generally do not “live to work,” but rather “work to live,” placing a greater value on leisure time. Such attitudes are not particularly compatible with economic systems that require squeezing ever more productivity out of labor, but they are well suited for an age of AI and automation….

Fortunately, AI and data-driven innovation could offer a way forward. In what could be perceived as a kind of AI utopia, the paradox of a bigger state with a smaller budget could be reconciled, because the government would have the tools to expand public goods and services at a very small cost.

The biggest hurdle would be cultural: As early as 1948, the German philosopher Joseph Pieper warned against the “proletarianization” of people and called for leisure to be the basis for culture. Westerners would have to abandon their obsession with the work ethic, as well as their deep-seated resentment toward “free riders.” They would have to start differentiating between work that is necessary for a dignified existence, and work that is geared toward amassing wealth and achieving status. The former could potentially be all but eliminated.

With the right mindset, all societies could start to forge a new AI-driven social contract, wherein the state would capture a larger share of the return on assets, and distribute the surplus generated by AI and automation to residents. Publicly-owned machines would produce a wide range of goods and services, from generic drugs, food, clothes, and housing, to basic research, security, and transportation….(More)”.

How I Learned to Stop Worrying and Love the GDPR

Curated on Posted on by Stefaan Verhulst

Ariane Adam at DataStewards.net: “The General Data Protection Regulation (GDPR) was approved by the EU Parliament on 14 April 2016 and came into force on 25 May 2018….

The coming into force of this important regulation has created confusion and concern about penalties, particularly in the private sector….There is also apprehension about how the GDPR will affect the opening and sharing of valuable databases. At a time when open data is increasingly shaping the choices we make, from finding the fastest route home to choosing the best medical or education provider, misinformation about data protection principles leads to concerns that ‘privacy’ will be used as a smokescreen to not publish important information. Allaying the concerns of private organisations and businesses in this area is particularly important as often the datasets that most matter, and that could have the most impact if they were open, do not belong to governments.

Looking at the regulation and its effects about one year on, this paper advances a positive case for the GDPR and aims to demonstrate that a proper understanding of its underlying principles can not only assist in promoting consumer confidence and therefore business growth, but also enable organisations to safely open and share important and valuable datasets….(More)”.

How credit unions could help people make the most of personal data

Curated on Posted on by Stefaan Verhulst

Dylan Walsh at MIT Sloan: “In May of 2018, the EU adopted the General Data Protection Regulation, referred to by The New York Timesas “the world’s toughest rules to protect people’s online data.” Among its many safeguards, the GDPR gave individuals ownership of their personal data and thereby restricted its collection and use by businesses.

“That’s a good first start,” said Alex Pentland, a co-creator of the MIT Media Lab who played a foundational role in the development of the GDPR. “But ownership isn’t enough. Simply having the rights to your data doesn’t allow you to do much with it.” In response to this shortcoming, Pentland and his team have proposed the establishment of data cooperatives.

The idea is conceptually straightforward: Individuals would pool their personal data in a single institution — just as they pool money in banks — and that institution would both protect the data and put it to use. Pentland and his team suggest credit unions as one type of organization that could fill this role. And while companies would need to request permission to use consumer data, consumers themselves could request analytic insights from the cooperative. Lyft drivers, for instance, might compare their respective incomes across routes, and ride-share passengers could compare how much they pay relative to other cooperative members….

Several states have now asked credit unions to look into the idea of data cooperatives, but the model has yet to gain a foothold. “Credit unions are conservative,” Pentland said. But assuming the idea gains traction, the infrastructure won’t be difficult to build. Technology exists to automatically record and organize all the data that we give to companies; and credit unions, which have 100 million members nationwide, possess charters readymade to take on data management….(More)”.

Sharing data can help prevent public health emergencies in Africa

Curated on Posted on by Stefaan Verhulst

Moses John Bockarie at The Conversation: “Global collaboration and sharing data on public health emergencies is important to fight the spread of infectious diseases. If scientists and health workers can openly share their data across regions and organisations, countries can be better prepared and respond faster to disease outbreaks.

This was the case in with the 2014 Ebola outbreak in West Africa. Close to 100 scientists, clinicians, health workers and data analysts from around the world worked together to help contain the spread of the disease.

But there’s a lack of trust when it comes to sharing data in north-south collaborations. African researchers are suspicious that their northern partners could publish data without acknowledging the input from the less resourced southern institutions where the data was first generated. Until recently, the authorship of key scientific publications, based on collaborative work in Africa, was dominated by scientists from outside Africa.

The Global Research Collaboration for Infectious Disease Preparedness, an international network of major research funding organisations, recently published a roadmap to data sharing. This may go some way to address the data sharing challenges. Members of the network are expected to encourage their grantees to be inclusive and publish their results in open access journals. The network includes major funders of research in Africa like the European Commission, Bill & Melinda Gates Foundation and Wellcome Trust.

The roadmap provides a guide on how funders can accelerate research data sharing by the scientists they fund. It recommends that research funding institutions make real-time, external data sharing a requirement. And that research needs to be part of a multi-disciplinary disease network to advance public health emergencies responses.

In addition, funding should focus on strengthening institutions’ capacity on a number of fronts. This includes data management, improving data policies, building trust and aligning tools for data sharing.

Allowing researchers to freely access data generated by global academic counterparts is critical for rapidly informing disease control strategies in public health emergencies….(More)”.

Co-Creation Of Public Services: Why And How

Curated on Posted on by Stefaan Verhulst

Paper by David Osimo and Francesco Mureddu: “Co-creation” and “design thinking” are trendy themes – the topic of innumerable conferences and a growing number of academic papers. But how do we turn co-creation into a reality for Europe’s 508 million citizens? In Co-Creation of Public Services: Why and How, Co-VAL’s new Policy Brief, co-authors Francesco Mureddu and David Osimo propose a ten-step roadmap for delivering genuinely user-centric digital government. The authors argue that it is time to put co-creation at the core of government functioning.

According to the authors, “today, co-creation is a mature subject. There is an extended theoretical and applied research effort underway, led in many places by members of the Co-VAL consortium, whose research informed the new policy brief.  And there is a solid professional community, ready to deliver, and staffed by people with clearly identified job profiles, such as “user researcher” and “service designer.” There are even success stories of entire countries that scaled up design thinking at national level, such as Italy’s Government Commissioner and Digital Transformation Team and the United Kingdom’s legendary Government Digital Services.”…(More)”.

Why data ownership is the wrong approach to protecting privacy

Curated on Posted on by Stefaan Verhulst

Article by John B. Morris Jr. and Cameron F. Kerry: “It’s my data.” It’s an idea often expressed about information privacy.

Indeed, in congressional hearings last year, Mark Zuckerberg said multiple times that “people own all of their own content” on Facebook. A survey by Insights Network earlier this year found that 79% of consumers said they want compensation when their data is shared. Musician and tech entrepreneur will.i.am took to the website of The Economist to argue that payment for data is a way to “redress the balance” between individuals and “data monarchs.”

Some policymakers are taking such thinking to heart. Senator John Kennedy (R-LA) introduced a three-page bill, the “Own Your Own Data Act of 2019,” which declares that “each individual owns and has an exclusive property right in the data that individual generates on the internet” and requires that social media companies obtain licenses to use this data. Senators Mark Warner (D-VA) and Josh Hawley (R-MO) are filing legislation to require Facebook, Google, and other large collectors of data to disclose the value of personal data they collect, although the bill would not require payments. In California, Governor Gavin Newsome wants to pursue a “data dividend” designed to “share in the wealth that is created from [people’s] data.”

Treating our data as our property has understandable appeal. It touches what the foundational privacy thinker Alan Westin identified as an essential aspect of privacy, a right “to control, edit, manage, and delete information about [individuals] and decide when, how, and to what extent information is communicated to others.” It expresses the unfairness people feel about an asymmetrical marketplace in which we know little about the data we share but the companies that receive the data can profit by extracting marketable information.

The trouble is, it’s not your data; it’s not their data either.  Treating data like it is property fails to recognize either the value that varieties of personal information serve or the abiding interest that individuals have in their personal information even if they choose to “sell” it. Data is not a commodity. It is information. Any system of information rights—whether patents, copyrights, and other intellectual property, or privacy rights—presents some tension with strong interest in the free flow of information that is reflected by the First Amendment. Our personal information is in demand precisely because it has value to others and to society across a myriad of uses.

Treating personal information as property to be licensed or sold may induce people to trade away their privacy rights for very little value while injecting enormous friction into free flow of information. The better way to strengthen privacy is to ensure that individual privacy interests are respected as personal information flows to desirable uses, not to reduce personal data to a commodity….(More)”.

Three Companies Innovating Democracy

Curated on Posted on by Stefaan Verhulst

Matt Harder at Beyond Voting: “….Below, we’ll explore three websites that allow citizens to communicate better with their governing systems.

Countable.us makes it easier to know what your representatives are voting on, and to tell them how you think they should vote. For each upcoming bill, you can suggest a yea or nay to your representative via email or can even send video messages. Each bill also has a lively debate section so the yeas and nays can share, upvote their opinions and learn from each other. The result is seeing more informed and better arguments in favor of your preferences, and perhaps more importantly, against.

IssueVoter.us is similar to Countable in that you give your opinions to your representatives. But IssueVoter puts a different spin on it by giving you a “scorecard” highlighting how closely your representatives votes align to your preferences. The site is still new, so the functionality is not as great as it could be, but the concept is worth note.

Bang the Table focuses on engagement at a local level. They create civic engagement dashboards for cities that allow residents to stay informed and share opinions about city projects. They offer several levels of engagement, from simply dispensing information for the city to engaging citizens in collective discussions and decision making. Fayetteville, AR used them to make the engagement page Speak Up Fayetteville, which informed citizens about projects such as the Cultural Arts Corridor.

While none of these are driving massive change just yet, it’s easy to imagine how they could be enormously impactful if embraced at scale. First, they will all have to figure out how to design websites which are appealing enough to bring the masses, yet meaningful enough to benefit decision-makers. We’re stuck in the in-between phase where the internet is the most powerful communication medium, but we haven’t learned to utilize it for productive democratic purposes….(More)”.