Building Consumer Confidence Through Transparency and Control

Curated on Posted on by Stefaan Verhulst

Cisco 2021 Consumer Privacy Survey: “Protecting privacy continues to be a critical issue for individuals, organizations, and governments around the world. Eighteen months into the COVID-19 pandemic, our health information and vaccination status are needed more than ever to understand the virus, control the spread, and enable safer environments for work, learning, recreation, and other activities. Nonetheless, people want privacy protections to be maintained, and they expect organizations and governments to keep their data safe and used only for pandemic response. Individuals are also increasingly taking action to protect themselves and their data. This report, our third annual review of consumer privacy, explores current trends, challenges, and opportunities in privacy for consumers.

The report draws upon data gathered from a June 2021 survey where respondents were not informed of who was conducting the study and respondents were anonymous to the researchers. Respondents included 2600 adults (over the age of 18) in 12 countries (5 Europe, 4 Asia Pacific, and 3 Americas). Participants were asked about their attitudes and activities regarding companies’ use of their personal data, level of support for COVID-19 related information sharing, awareness and reaction to privacy legislation, and attitudes regarding artificial intelligence (AI) and automated decision making.

The findings from this research demonstrates the growing importance of privacy to the individual and its implications on the businesses and governments that serve them. Key highlights of this report

  1. Consumers want transparency and control with respect to business data practices – an increasing number will act to protect their data
  2. Privacy laws are viewed very positively around the world, but awareness of these laws remains low
  3. Despite the ongoing pandemic, most consumers want little or no reduction in privacy protections, while still supporting public health and safety efforts
  4. Consumers are very concerned about the use of their personal information in AI and abuse has eroded trust…(More)”.

Feedback Loops in Open Data Ecosystems

Curated on Posted on by Stefaan Verhulst

Paper by Daniel Rudmark and Magnus Andersson: “Public agencies are increasingly publishing open data to increase transparency and fuel data-driven innovation. For these organizations, maintaining sufficient data quality is key to continuous re-use but also heavily dependent on feedback loops being initiated between data publishers and users. This paper reports from a longitudinal engagement with Scandinavian transportation agencies, where such feedback loops have been successfully established. Based on these experiences, we propose four distinct types of data feedback loops in which both data publishers and re-users play critical roles…(More)”.

Why you should develop a Rules as Code-enabled future

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Blog by Tim de Sousa: “In 2021, Rules as Code (RaC) is truly hitting its stride. More governments are exploring the concept of machine-consumable legislation, regulation and policy, research institutes have been established, papers and reports are being published, tools and platforms are being built, and multi-disciplinary teams are learning new ways to draft and implement rules by getting their hands dirty.

RaC is still an emerging practice. Much of the current discussion about RaC is centred on introductory questions such as why and how we should code rules (and we’ve tried to answer those questions here), but to understand the true potential of RaC, we have to take a longer view.

In this two-part series, I set out some possible optimistic futures that could be enabled by RaC. We have to ask ourselves what kind of world we want to build with coded rules. so we can better plan how to get there.

Trustworthy automated decisions

The first reaction that RaC practitioners are often faced with is the fear of the killer robot. What happens if the automated system makes a wrong decision? What if that decision hurts someone? This is not an unfounded fear – we have seen poorly implemented and poorly used automated systems raise debts that are not owed, and lead to the arrest of innocent people. All human-built systems have flaws, and RaC-enabled systems are not immune.

As a former administrative lawyer and someone who grapples with the ethical uses of technology on a daily basis, the use of RaC to help people understand what decisions are being made and how they’re being made – that is, to enable trustworthy automated decisions – is particularly compelling.

Administrative law is the body of law that regulates how governments make decisions. In common law countries, this generally includes requirements that only relevant matters should be taken into account, irrelevant matters should not be, reasons should be given for decisions, and there should be workable avenues for merits reviews of decisions…(More)”

Statistics and Data Science for Good

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Introduction to Special Issue of Chance by Caitlin Augustin, Matt Brems, and Davina P. Durgana: “One lesson that our team has taken from the past 18 months is that no individual, no team, and no organization can be successful on their own. We’ve been grateful and humbled to witness incredible collaboration—taking on forms of resource sharing, knowledge exchange, and reimagined outcomes. Some advances, like breakthrough medicine, have been widely publicized. Other advances have received less fanfare. All of these advances are in the public interest and demonstrate how collaborations can be done “for good.”

In reading this issue, we hope that you realize the power of diverse multidisciplinary collaboration; you recognize the positive social impact that statisticians, data scientists, and technologists can have; and you learn that this isn’t limited to companies with billions of dollars or teams of dozens of people. You, our reader, can get involved in similar positive social change.

This special edition of CHANCE focuses on using data and statistics for the public good and on highlighting collaborations and innovations that have been sparked by partnerships between pro bono institutions and social impact partners. We recognize that the “pro bono” or “for good” field is vast, and we welcome all actors working in the public interest into the big tent.

Through the focus of this edition, we hope to demonstrate how new or novel collaborations might spark meaningful and lasting positive change in communities, sectors, and industries. Anchored by work led through Statistics Without Borders and DataKind, this edition features reporting on projects that touch on many of the United Nations Sustainable Development Goals (SDGs).

Pro bono volunteerism is one way of democratizing access to high-skill, high-expense services that are often unattainable for social impact organizations. Statistics Without Borders (founded in 2008), DataKind (founded in 2012), and numerous other volunteer organizations began with this model in mind: If there was an organizing or galvanizing body that could coordinate the myriad requests for statistical, data science, machine learning, or data engineering help, there would be a ready supply of talented individuals who would want to volunteer to see those projects through. Or, put another way, “If you build it, they will come.”

Doing pro bono work requires more than positive intent. Plenty of well-meaning organizations and individuals charitably donate their time, their energy, their expertise, only to have an unintended adverse impact. To do work for good, ethics is an important part of the projects. In this issue, you’ll notice the writers’ attention to independent review boards (IRBs), respecting client and data privacy, discussing ethical considerations of methods used, and so on.

While no single publication can fully capture the great work of pro bono organizations working in “data for good,” we hope readers will be inspired to contribute to open source projects, solve problems in a new way, or even volunteer themselves for a future cohort of projects. We’re thrilled that this special edition represents programs, partners, and volunteers from around the world. You will learn about work that is truly representative of the SDGs, such as international health organizations’ work in Uganda, political justice organizations in Kenya, and conservationists in Madagascar, to name a few.

Several articles describe projects that are contextualized with the SDGs. While achieving many goals is interconnected, such as the intertwining of economic attainment and reducing poverty, we hope that calling out key themes here will whet your appetite for exploration.

  • • Multiple articles focused on tackling aspects of SDG 3: Ensuring healthy lives and promoting well-being for people at all ages.
  • • An article tackling SDG 8: Promote sustained, inclusive, and sustainable economic growth; full and productive employment; and decent work for all.
  • • Several articles touching on SDG 9: Build resilient infrastructure; promote inclusive and sustainable industrialization, and foster innovation; one is a reflection on building and sustaining free and open source software as a public good.
  • • A handful of articles highlighting the needs for capacity-building and systems-strengthening aligned to SDG 16: Promote peaceful and inclusive societies for sustainable development; provide access to justice for all; and build effective, accountable, and inclusive institutions at all levels.
  • • An article about migration along the southern borders of the United States addressing multiple issues related to poverty (SDG 1), opportunity (SDG 10), and peace and justice (SDG 16)….(More)”

A Curation of Tools for Promoting Effective Data Re-Use for Addressing Public Challenges

Curated on Posted on by Stefaan Verhulst

Blog by Sampriti Saxena, Andrew J. Zahuranec, and Stefaan Verhulst: “Data can be a powerful tool for change, if made accessible and leveraged responsibly. Since The GovLab’s Data Program began work six years ago, it has structured most of its work around this fact, seeking to tackle many of the complex challenges we face today by enabling access to data. 

In this blog, the Data Program provides a curation of tools that we’ve developed over the years to enable systematic, sustainable and responsible re-use of data – i.e. data stewardship. Organized into four categories—each dealing with a topic or issue we’ve studied in our work—this listing gives data practitioners the resources they need to make sense of the data they work with.  We hope that it will help practitioners to develop fit-for-purpose approaches when designing open data and data collaboration initiatives.

  • Data Collaboration…
  • Open Data…
  • Responsible Data…
  • Participatory Approaches…(More)”.

UNCTAD calls on countries to make digital data flow for the benefit of all

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Press Release: “The world needs a new global governance approach to enable digital data to flow across borders as freely as necessary and possible, says UNCTAD’s Digital Economy Report 2021 released on 29 September.

The UN trade and development body says the new approach should help maximize development gains, ensure those gains are equitably distributed and minimize risks and harms.

It should also enable worldwide data sharing, develop global digital public goods, increase trust and reduce uncertainty in the digital economy.

The report says the new global system should also help avoid further fragmentation of the internet, address policy challenges emerging from the dominant positions of digital platforms and narrow existing inequalities.

“It is more important than ever to embark on a new path for digital and data governance,” says UN Secretary-General António Guterres in his preface to the report.

“The current fragmented data landscape risks us failing to capture value that could accrue from digital technologies and it may create more space for substantial harms related to privacy breaches, cyberattacks and other risks.”

UNCTAD Secretary-General Rebeca Grynspan said: “We urgently need a renewed focus on achieving global digital and data governance, developing global digital public goods, increasing trust and reducing uncertainty in the digital economy. The pandemic has shown the critical importance of sharing health data globally – the issue of digital governance can no longer be postponed.”

Pandemic underscores need for new governance

Digital data play an increasingly important role as an economic and strategic resource, a trend reinforced by the COVID-19 pandemic.

The pandemic has shown the importance of sharing health data globally to help countries cope with its consequences, and for research purposes in finding vaccines.

“The increased interconnection and interdependence challenges in the global data economy call for moving away from the silo approach towards a more holistic, coordinated global approach,” UNCTAD Deputy Secretary-General Isabelle Durant said.

“Moreover, new and innovative ways of global governance are urgently needed, as the old ways may not be well suited to respond to the new context,” she added.

New UN data-related body proposed

UNCTAD proposes the formation of a new United Nations coordinating body, with a focus on, and with the skills for, assessing and developing comprehensive global digital and data governance. Its work should be multilateral, multi-stakeholder and multidisciplinary.

It should also seek to remedy the current underrepresentation of developing countries in global and regional data governance initiatives.

The body should also function as a complement to and in coherence with national policies and provide sufficient policy space to ensure countries with different levels of digital readiness and capacities can benefit from the data-driven digital economy…(More)”.

Old Dog, New Tricks: Retraining and the Road to Government Reform

Curated on Posted on by Stefaan Verhulst

Essay by Beth Noveck: “…To be sure, one strategy for modernizing government is hiring new people with fresh skills in the fields of technology, data science, design, and marketing. Today, only 6 percent of the federal workforce is under 30 and, if age is any proxy for mastery of these in-demand new skills, then efforts by non-profits such as the Partnership for Public Service and the Tech Talent Project to attract a younger generation to work in the public sector are crucial. But we will not reinvent government fast enough through hiring alone.

The crucial and overlooked mechanism for improving government effectiveness is, therefore, to change how people work by training public servants across departments to use data and collective intelligence at each stage of the problem-solving process to foster more informed decision-making, more innovative solutions to problems, and more agile implementation of what works. All around the world we have witnessed how, when public servants work differently, government solves problems better.

Jonathan Wachtel, the lone city planner in Lakewood, Colorado, a suburb of Denver, has been able to undertake 500 sustainability projects because he knows how to collaborate and codesign with a network of 20,000 residents. When former Mayor of New Orleans Mitch Landrieu launched an initiative to start using data and resident engagement to address the city’s abysmal murder rate, that effort led to a 25 percent reduction in homicides in two years and a further decline to its lowest levels in 50 years by 2019. Because Samir Brahmachari, former Secretary, Department of Scientific and Industrial Research, of the government of India, turned to crowdsourcing and engaged the assistance of 7,900 contributors, he was able to identify six already-approved drugs that showed promised in the fight against tuberculosis….(More)”.

World Wide Weird: Rise of the Cognitive Ecosystem

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Braden R. Allenby at Issues: “Social media, artificial intelligence, the Internet of Things, and the data economy are coming together in a way that transcends how humans understand and control our world.

In the beginning of the movie 2001: A Space Odyssey, an ape, after hugging a strange monolith, picks up a bone and randomly begins playing with it … and then, as Richard Strauss’s Also sprach Zarathustra rings in the background, the ape realizes that the bone it is holding is, in fact, a weapon. The ape, the bone, and the landscape remain exactly the same, yet something fundamental has changed: an ape casually holding a bone is a very different system than an ape consciously wielding a weapon. The warrior ape is an emergent cognitive phenomenon, neither required nor deterministically produced by the constituent parts: a bone, and an ape, in a savannah environment.

Cognition as an emergent property of techno-human systems is not a new phenomenon. Indeed, it might be said that the ability of humans and their institutions to couple to their technologies to create such techno-human systems is the source of civilization itself. Since humans began producing artifacts, and especially since we began creating artifacts designed to capture, preserve, and transmit information—from illuminated manuscripts and Chinese oracle bones to books and computers—humans have integrated with their technologies to produce emergent cognitive results.

And these combinations have transformed the world. Think of the German peasants, newly literate, who were handed populist tracts produced on then-newfangled printing presses in 1530: the Reformation happened. Thanks to the printers, information and strategies flowed between the thinkers and the readers faster, uniting people across time and space. Eventually, the result was another fundamental shift in the cognitive structure: the Enlightenment happened.

Since humans began producing artifacts, and especially artifacts designed to capture, preserve, and transmit information, humans have integrated with their technologies to produce emergent cognitive results.

In the 1980s Edwin Hutchins found another cognitive structure when he observed a pre-GPS crew navigating on a naval vessel: technology in the form of devices, charts, and books were combined with several individuals with specialized skills and training to produce knowledge of the ship’s position (the “fix”). No single entity, human or technological, contained the entire process; rather, as Hutchins observed: “An interlocking set of partial procedures can produce the overall observed pattern without there being a representation of that overall pattern anywhere in the system.” The fix arises as an emergent cognitive product that is nowhere found in the constituent pieces, be they technology or human; indeed, Hutchins speaks of “the computational ecology of navigation tools.”

Fast forward to today. It should be no surprise that at some point techno-human cognitive systems such as social media, artificial intelligence (AI), the Internet of Things (IoT), 5G, cameras, computers, and sensors should begin to form their own ecology—significantly different in character from human cognition….(More)”

New USAID Digital Ecosystem Framework for International Development

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Article by ICTWorks: “USAID’s Digital Strategy explains that a digital ecosystem comprises stakeholders, systems, and an enabling environment that, together, empower people and communities to use digital technology to access services, engage with each other, and pursue economic opportunities. Building on this concept, the Agency created a framework that refines the ecosystem into a practical structure for development practitioners.

USAID’s Digital Ecosystem framework is distinct from the concept of a digital economy – and the distinction is an important one that USAID has iterated and worked to define. It is an environment, system, and culture all at once; it is the starting point for any digital interaction, and understanding it is crucial for development practitioners.

The Digital Ecosystem Framework is organized around three separate, overlapping pillars:

  • Digital Infrastructure and Adoption: the resources that make digital systems possible and how individuals and organizations access and use these resources.
  • Digital Society, Rights, and Governance: how digital technology intersects with government, civil society, and the media.
  • Digital Economy: the role digital technology plays in increasing economic opportunity and efficiency

USAID’s Digital Ecosystem framework encompasses four cross-cutting topics:

  • Inclusion: reducing disparities in access and the “digital divide”
  • Cybersecurity: protecting information against damage, unauthorized use or modification, or exploitation.
  • Emerging Technologies: encompassing artificial intelligence, Internet of Things, blockchain, 5G and other new technologies.
  • Geopolitical Positioning: the influence of authoritarian states that are actively working to shape the global digital space….(More)”.

Secondary use of health data in Europe

Curated on Posted on by Stefaan Verhulst

Report by Mark Boyd, Dr Milly Zimeta, Dr Jeni Tennison and Mahad Alassow: “Open and trusted health data systems can help Europe respond to the many urgent challenges facing its society and economy today. The global pandemic has already altered many of our societal and economic systems, and data has played a key role in enabling cross-border and cross-sector collaboration in public health responses.

Even before the pandemic, there was an urgent need to optimise healthcare systems and manage limited resources more effectively, to meet the needs of growing, and often ageing, populations. Now, there is a heightened need to develop early-diagnostic and health-surveillance systems, and more willingness to adopt digital healthcare solutions…

By reusing health data in different ways, we can increase the value of this data and help to enable these improvements. Clinical data, such as incidences of healthcare and clinical trials data, can be combined with data collected from other sources, such as sickness and insurance claims records, and from devices and wearable technologies. This data can then be anonymised and aggregated to generate new insights and optimise population health, improve patients’ health and experiences, create more efficient healthcare systems, and foster innovation.

This secondary use of health data can enable a wide range of benefits across the entire healthcare system. These include opportunities to optimise service, reduce health inequalities by better allocating resources, and enhance personalised healthcare –for example, by comparing treatments for people with similar characteristics. It can also help encourage innovation by extending research data to assess whether new therapies would work for a broader population….(More)”.