Standards and Innovations in Information Technology and Communications


Book by Dina Šimunić and Ivica Pavić: “This book gives a thorough explanation of standardization, its processes, its life cycle, and its related organization on a national, regional and global level. The book provides readers with an insight in the interaction cycle between standardization organizations, government, industry, and consumers. The readers can gain a clear insight to standardization and innovation process, standards, and innovations life-cycle and the related organizations with all presented material in the field of information and communications technologies. The book introduces the reader to understand perpetual play of standards and innovation cycle, as the basis for the modern world.

  • Provides a thorough explanation of standardization and innovation in relation to communications engineering and information technology
  • Discusses the standardization and innovation processes and organizations on global, regional, and national levels
  • Interconnects standardization and innovation, showing the perpetual life-cycle that is the basis of technology progress…(More)”.

Why open science is critical to combatting COVID-19


Article by the OECD: “…In January 2020, 117 organisations – including journals, funding bodies, and centres for disease prevention – signed a statement titled “Sharing research data and findings relevant to the novel coronavirus outbreakcommitting to provide immediate open access for peer-reviewed publications at least for the duration of the outbreak, to make research findings available via preprint servers, and to share results immediately with the World Health Organization (WHO). This was followed in March by the Public Health Emergency COVID-19 Initiative, launched by 12 countries1 at the level of chief science advisors or equivalent, calling for open access to publications and machine-readable access to data related to COVID-19, which resulted in an even stronger commitment by publishers.

The Open COVID Pledge was launched in April 2020 by an international coalition of scientists, lawyers, and technology companies, and calls on authors to make all intellectual property (IP) under their control available, free of charge, and without encumbrances to help end the COVID-19 pandemic, and reduce the impact of the disease….

Remaining challenges

While clinical, epidemiological and laboratory data about COVID-19 is widely available, including genomic sequencing of the pathogen, a number of challenges remain:

  • All data is not sufficiently findable, accessible, interoperable and reusable (FAIR), or not yet FAIR data.
  • Sources of data tend to be dispersed, even though many pooling initiatives are under way, curation needs to be operated “on the fly”.
  • Providing access to personal health record sharing needs to be readily accessible, pending the patient’s consent. Legislation aimed at fostering interoperability and avoiding information blocking are yet to be passed in many OECD countries. Access across borders is even more difficult under current data protection frameworks in most OECD countries.
  • In order to achieve the dual objectives of respecting privacy while ensuring access to machine readable, interoperable and reusable clinical data, the Virus Outbreak Data Network (VODAN) proposes to create FAIR data repositories which could be used by incoming algorithms (virtual machines) to ask specific research questions.
  • In addition, many issues arise around the interpretation of data – this can be illustrated by the widely followed epidemiological statistics. Typically, the statistics concern “confirmed cases”, “deaths” and “recoveries”. Each of these items seem to be treated differently in different countries, and are sometimes subject to methodological changes within the same country.
  • Specific standards for COVID-19 data therefore need to be established, and this is one of the priorities of the UK COVID-19 Strategy. A working group within Research Data Alliance has been set up to propose such standards at an international level.
  • In some cases it could be inferred that the transparency of the statistics may have guided governments to restrict testing in order to limit the number of “confirmed cases” and avoid the rapid rise of numbers. Lower testing rates can in turn reduce the efficiency of quarantine measures, lowering the overall efficiency of combating the disease….(More)”.

How Humanitarian Blockchain Can Deliver Fair Labor to Global Supply Chains


Paper by  Ashley Mehra and John G. Dale: “Blockchain technology in global supply chains has proven most useful as a tool for storing and keeping records of information or facilitating payments with increased efficiency. The use of blockchain to improve supply chains for humanitarian projects has mushroomed over the last five years; this increased popularity is in large part due to the potential for transparency and security that the design of the technology proposes to offer. Yet, we want to ask an important but largely unexplored question in the academic literature about the human rights of the workers who produce these “humanitarian blockchain” solutions: “How can blockchain help eliminate extensive labor exploitation issues embedded within our global supply chains?”

To begin to answer this question, we suggest that proposed humanitarian blockchain solutions must (1) re-purpose the technical affordances of blockchain to address relations of power that, sometimes unwittingly, exploit and prevent workers from collectively exercising their voice; (2) include legally or socially enforceable mechanisms that enable workers to meaningfully voice their knowledge of working conditions without fear of retaliation; and (3) re-frame our current understanding of human rights issues in the context of supply chains to include the labor exploitation within supply chains that produce and sustain the blockchain itself….(More)”.

System-wide Roadmap for Innovating UN Data and Statistics


Roadmap by the United Nations System: “Since 2018, the Secretary-General has pursued an ambitious agenda to prepare the UN System for the challenges of the 21st century. In lockstep with other structural UN reforms, he has launched a portfolio of initiatives through the CEB to help transform system-wide approaches to new technologies, innovation and data. Driven by the urgency and ambition of the “Decade of Action”, these initiatives are designed to nurture cross-cutting capabilities the UN System will need to deliver better “for people and planet”. Unlocking data and harnessing the potential of statistics will be critical to the success of UN reform.

Recognizing that data are a strategic asset for the UN System, the UN Secretary-General’s overarching Data Strategy sets out a vision for a “data ecosystem that maximizes the value of our data assets for our organizations and the stakeholders we serve”, including high-level objectives, principles, core workstreams and concrete system-wide data initiatives. The strategy signals that improving how we collect, manage, use and share data should be a crosscutting strategic concern: Across all pillars of the UN System, across programmes and operations, and across all level of our organizations.

The System-wide Roadmap for Innovating UN Data and Statistics contributes to the overall objectives of the Data Strategy of the Secretary-General that constitutes a framework to support the Roadmap as a priority initiative. The two strategic plans converge around a vision that recognizes the power of data and stimulates the United Nations to embrace a more coherent and modern approach to data…(More)”.

The next Big Data battlefield: Server Geography


Maroosha Muzaffar at OZY: “At the G-20 summit last June, when Japanese Prime Minister Shinzo Abe introduced a resolution endorsing the free flow of data across borders, India, South Africa and Indonesia refused to sign it. India’s then foreign secretary Vijay Gokhale described data as a “new form of wealth” to explain the country’s reluctance to part with it.

It wasn’t an isolated standoff. President Donald Trump’s trade war with China and tariff battles with India and Europe dominated the global financial discourse in the months before the coronavirus crisis. But the next trade conflict after the pandemic eases is already brewing, and it won’t involve only tariffs on products. It’ll be focused on territorial control of data.

A growing number of emerging economies with giant populations, like China, India, Nigeria, Indonesia and South Africa, are leveraging the markets they offer to demand that foreign firms keep the data they gather from these countries within their borders, and not on servers in the West. That’s leading to rising tensions over “data localization,” especially with the U.S., which has an overall global trade deficit but enjoys a massive trade surplus in digital services — in good measure because of its control over global data, say experts.

Indian Prime Minister Narendra Modi dangled his country’s 1.3 billion-strong market during a visit to the U.S. last September, calling data the “new gold.” China has 13 data localization laws that span all sectors of life — all data on Chinese nationals and infrastructure must be stored within the country. Nigeria has a similar requirement. An Indian government panel has meanwhile recommended that New Delhi do the same…(More)”.

Unlock the Hidden Value of Your Data


Stefaan G. Verhulst at the Harvard Business Review: “Twenty years ago, Kevin Rivette and David Kline wrote a book about the hidden value contained within companies’ underutilized patents. These patents, Rivette and Kline argued, represented “Rembrandts in the Attic” (the title of their book). Patents, the authors suggested, shouldn’t be seen merely as passive properties, but as strategic assets — a “new currency” that could be deployed in the quest for competition, brand reputation, and advances in research and development.

We are still living in the knowledge economy, and organizations are still trying to figure out how to unlock under-utilized assets. But the currency has changed: Today’s Rembrandts in the attic are data.

It is widely accepted now that the vast amounts of data that companies generate represents a tremendous repository of potential value. This value is monetary, and also social; it contains terrific potential to impact the public good. But do organizations — and do we as a society — know how to unlock this value? Do we know how to find the insights hidden in our digital attics and use them to improve society and peoples’ lives?

In what follows, I outline four steps that could help organizations maximize their data assets for public good. If there is an overarching theme, it is about the value of re-using data. Recent years have seen a growing open data movement, in which previously siloed government datasets have been made accessible to outside groups. Despite occasional trepidation on the part of data holders, research has consistently shown that such initiatives can be value-enhancing for both data holders and society. The same is true for private sector data assets. Better and more transparent reuse of data is arguably the single most important measure we can take to unleash this dual potential.

To help maximize data for the public good, we need to:

  • Develop methodologies to measure the value of data...
  • Develop structures to incentivize collaboration. ….
  • Encourage data collaboratives. 
  • Identify and nurture data stewards. …(More)”

Trust and Compliance to Public Health Policies in Times of Covid-19


Paper by Olivier Bargain and Ulugbek Aminjonov: “While degraded trust and cohesion within a country are often shown to have large socioeconomic impacts, they can also have dramatic consequences when compliance is required for collective survival. We illustrate this point in the context of the COVID-19 crisis. Policy responses all over the world aim to reduce social interaction and limit contagion.

Using data on human mobility and political trust at regional level in Europe, we examine whether the compliance to these containment policies depends on the level of trust in policy makers prior to the crisis. Using a double difference approach around the time of lockdown announcements, we find that high-trust regions decrease their mobility related to non-necessary activities significantly more than low-trust regions. We also exploit country and time variation in treatment using the daily strictness of national policies. The efficiency of policy stringency in terms of mobility reduction significantly increases with trust. The trust effect is nonlinear and increases with the degree of stringency. We assess how the impact of trust on mobility potentially translates in terms of mortality growth rate..(More)”.

The Big Failure of Small Government


Mariana Mazzucato and Giulio Quaggiotto at Project Syndicate: “Decades of privatization, outsourcing, and budget cuts in the name of “efficiency” have significantly hampered many governments’ responses to the COVID-19 crisis. At the same time, successful responses by other governments have shown that investments in core public-sector capabilities make all the difference in times of emergency. The countries that have handled the crisis well are those where the state maintains a productive relationship with value creators in society, by investing in critical capacities and designing private-sector contracts to serve the public interest.

From the United States and the United Kingdom to Europe, Japan, and South Africa, governments are investing billions – and, in some cases, trillions – of dollars to shore up national economies. Yet, if there is one thing we learned from the 2008 financial crisis, it is that quality matters at least as much as quantity. If the money falls on empty, weak, or poorly managed structures, it will have little effect, and may simply be sucked into the financial sector. Too many lives are at stake to repeat past errors.

Unfortunately, for the last half-century, the prevailing political message in many countries has been that governments cannot – and therefore should not – actually govern. Politicians, business leaders, and pundits have long relied on a management creed that focuses obsessively on static measures of efficiency to justify spending cuts, privatization, and outsourcing.

As a result, governments now have fewer options for responding to the crisis, which may be why some are now desperately clinging to the unrealistic hope of technological panaceas such as artificial intelligence or contact-tracing apps. With less investment in public capacity has come a loss of institutional memory (as the UK’s government has discovered) and increased dependence on private consulting firms, which have raked in billions. Not surprisingly, morale among public-sector employees has plunged in recent years.

Consider two core government responsibilities during the COVID-19 crisis: public health and the digital realm. In 2018 alone, the UK government outsourced health contracts worth £9.2 billion ($11.2 billion), putting 84% of beds in care homes in the hands of private-sector operators (including private equity firms). Making matters worse, since 2015, the UK’s National Health Service has endured £1 billion in budget cuts.

Outsourcing by itself is not the problem. But the outsourcing of critical state capacities clearly is, especially when the resulting public-private “partnerships” are not designed to serve the public interest. Ironically, some governments have outsourced so eagerly that they have undermined their own ability to structure outsourcing contracts. After a 12-year effort to spur the private sector to develop low-cost ventilators, the US government is now learning that outsourcing is not a reliable way to ensure emergency access to medical equipment….(More)”.

Covid-19 means systems thinking is no longer optional


Seth Reynolds at NPC: “Never has the interdependence of our world been experienced by so many, so directly, so rapidly and so simultaneously. Our response to one threat, Covid-19, has unleashed a deluge of secondary and tertiary consequences that have swept across the globe faster than the virus itself. The butterfly effect has taken on new dimensions, as the reality of system interdependence at multiple levels has been brought directly into our homes and news feeds:

  • Individually, an innocuous bus journey sends a stranger to intensive care in a fortnight
  • Societally, health charities are warning that actions taken in response to one health crisis – Covid-19 – could lead to up to 11,000 deaths of women in childbirth around the world because of another – namely, 9.5m women not getting access to family planning intervention.
  • Governmentally, some systemic consequences of decision-making are there for all to see, while others are less immediately apparent – for example, Trump’s false proclamation of testing availability “for anyone that wants one”  ended up actually reducing the availability of tests by immediately increasing demand.  It even reduced the already scarce supply of protective masks, which must be disposed of after testing.

Students will be studying coronavirus for years. A systems lens can help us learn essential lessons. Covid-19 has provided many clear examples of effective systemic action, and stark lessons in the consequences of non-systemic thinking. Leaders and decision-makers everywhere are being compelled to think broader and deeper about causation and consequence. Decisions taken, even words spoken, without systemic awareness can have – indeed have had – profoundly damaging effects.

Systemic thinking, planning, action and leadership must now be mainstreamed – individually, organisationally, societally, across public, private and charity sectors. As one American diplomat recently reflected: “from climate change to the coronavirus, complex adaptive systems thinking is key to handling crises”. In fact, some epidemiologists, suddenly the world’s most valuable profession, have been calling for more systemic ways of working for years. However, we currently do not think and act in accordance with how our complex systems function and this has been part of the Covid-19 problem…(More)”.

How Statistics Can Help — Going Beyond COVID-19


Blog by Walter J. Radermacher at Data & Policy: “It is rightly pointed out that in the midst of a crisis of enormous dimensions we needed high quality statistics with utmost urgency, but that instead we are in danger of drowning in an ocean of data and information. The pandemic is accompanied and exacerbated by an infodemic. At this moment, and in this confusion and search for solutions, it seems appropriate to take advice from previous initiatives and draw lessons for the current situation. More than 20 years ago in the United Kingdom, the report “Statistics — A Matter of Trust” laid the foundations for overcoming the previously spreading crisis of confidence through a solidly structured statistical system. This report does not stand alone in international comparison. Rather, it is one of a series of global, European and national measures and agreements which, since the fall of the Berlin Wall in 1989, have strengthened official statistics as the backbone of policy in democratic societies, with the UN Fundamental Statistical Principles and the EU Statistics Code of Practice being prominent representatives. So, if we want to deal with our current difficulties, we should address precisely those points that have emerged as determining factors for the quality of statistics, with the following three questions: What (statistical products, quality profile)? How (methods)? Who (institutions)? The aim must be to ensure that statistical information is suitable for facilitating the resolution of conflicts by eliminating the need to argue about the facts and only about the conclusions to be drawn from them.

In the past, this task would have led relatively quickly to a situation where the need for information would have been directed to official statistics as the preferred provider; this has changed recently for many reasons. On the one hand, there is the danger that the much-cited data revolution and learning algorithms (so-called AI) are presented as an alternative to official statistics (which are perceived as too slow, too inflexible and too expensive), instead of emphasizing possible commonalities and cross-fertilization possibilities. On the other hand, after decades of austerity policies, official statistics are in a similarly defensive situation to that of the public health system in many respects and in many countries: There is a lack of financial reserves, personnel and know-how for the new and innovative work now so urgently needed.

It is therefore required, as in the 1990s, to ask the fundamental question again, namely, do we (still and again) really deserve official statistics as the backbone of democratic decision-making, and if so, what should their tasks be, how should they be financed and anchored in the political system?…(More)”.