Digital Technologies in Emerging Countries


Open Access Book edited by Francis Fukuyama and Marietje Schaake: “…While there has been a tremendous upsurge in scholarly research into the political and social impacts of digital technologies, the vast majority of this work has tended to focus on rich countries in North America and Europe. Both regions had high levels of internet penetration and the state capacity to take on—potentially, at any rate—regulatory issues raised by digitization….The current volume is an initial effort to rectify the imbalance in the way that centers and programs such as ours look at the world, by focusing on what might broadly be labeled the “global south,” which we have labeled “emerging countries” (ECs). Countries and regions outside of North America and Europe face similar opportunities and challenges to those developed regions, but also problems that are unique to themselves…(More)”.

Filling Africa’s Data Gap


Article by Jendayi Frazer and Peter Blair Henry: “Every few years, the U.S. government launches a new initiative to boost economic growth in Africa. In bold letters and with bolder promises, the White House announces that public-private partnerships hold the key to growth on the continent. It pledges to make these partnerships a cornerstone of its Africa policy, but time and again it fails to deliver.

A decade after U.S. President Barack Obama rolled out Power Africa—his attempt to solve Africa’s energy crisis by mobilizing private capital—half of the continent’s sub-Saharan population remains without access to electricity. In 2018, the Trump administration proclaimed that its Prosper Africa initiative would counter China’s debt-trap diplomacy and “expand African access to business finance.” Five years on, Chad, Ethiopia, Ghana, and Zambia are in financial distress and pleading for debt relief from Beijing and other creditors. Yet the Biden administration is once more touting the potential of public-private investment in Africa, organizing high-profile visits and holding leadership summits to prove that this time, the United States is “all in” on the continent.

There is a reason these efforts have yielded so little: goodwill tours, clever slogans, and a portfolio of G-7 pet projects in Africa do not amount to a sound investment pitch. Potential investors, public and private, need to know which projects in which countries are economically and financially worthwhile. Above all, that requires current and comprehensive data on the expected returns that investment in infrastructure in the developing world can yield. At present, investors lack this information, so they pass. If the United States wants to “build back better” in Africa—to expand access to business finance and encourage countries on the continent to choose sustainable and high-quality foreign investment over predatory lending from China and Russia—it needs to give investors access to better data…(More)”.

A Global Digital Compact — an Open, Free and Secure Digital Future for All


UN Secretary General: “…The present brief proposes the development of a Global Digital Compact that would set out principles, objectives and actions for advancing an open, free, secure and human-centred digital future, one that is anchored in universal human rights and that enables the attainment of the Sustainable Development Goals. It outlines areas in which the need for multi-stakeholder digital cooperation is urgent and sets out how a Global Digital Compact can help to realize the commitment in the declaration on the commemoration of the seventy-fifth anniversary of the United Nations (General Assembly resolution 75/1) to “shaping a shared vision on digital cooperation” by providing an inclusive global framework. Such a framework is essential for the multi-stakeholder action required to overcome digital, data and innovation divides and to achieve the governance required for a sustainable digital future.
Our digital world is one of divides. In 2002, when governments first recognized the challenge of
the digital divide, 1 billion people had access to the Internet. Today, 5.3 billion people are digitally
connected, yet the divide persists across regions, gender, income, language, and age groups. Some 89 per cent of people in Europe are online, but only 21 per cent of women in low-income countries use the Internet. While digitally deliverable services now account for almost two thirds of global services trade, access is unaffordable in some parts of the world. The cost of a smartphone in South Asia and sub-Saharan Africa is more than 40 per cent of the average monthly income, and African users pay more than three times the global average for mobile data. Fewer than half of the world’s countries track digital
skills, and the data that exist highlight the depth of digital learning gaps. Two decades after the
World Summit on the Information Society, the digital divide is still a gulf.

Data divides are also growing. As data are collected and used in digital applications, they generate huge commercial and social value. While monthly global data traffic is forecast to grow by more than 400 per cent by 2026, activity is concentrated among a few global players. Many developing countries are at risk of becoming mere providers of raw data while having to pay for the services that their data help to produce…(More)”.

International Data Governance – Pathways to Progress


Press Release: “In May 2023, the United Nations System Chief Executives Board for Coordination endorsed International Data Governance – Pathways to Progress, developed through the High-level Committee on Programmes (HLCP) which approved the paper at its 45th session in March 2023.  International Data Governance – Pathways to Progress and its addenda were developed by the HLCP Working Group on International Data Governance…(More)”. (See Annex 1: Mapping and Comparing Data Governance Frameworks).

The Ethics of Artificial Intelligence for the Sustainable Development Goals


Book by Francesca Mazzi and Luciano Floridi: “Artificial intelligence (AI) as a general-purpose technology has great potential for advancing the United Nations Sustainable Development Goals (SDGs). However, the AI×SDGs phenomenon is still in its infancy in terms of diffusion, analysis, and empirical evidence. Moreover, a scalable adoption of AI solutions to advance the achievement of the SDGs requires private and public actors to engage in coordinated actions that have been analysed only partially so far. This volume provides the first overview of the AI×SDGs phenomenon and its related challenges and opportunities. The first part of the book adopts a programmatic approach, discussing AI×SDGs at a theoretical level and from the perspectives of different stakeholders. The second part illustrates existing projects and potential new applications…(More)”.

Challenge-Based Learning, Research, and Innovation


Book by Arturo Molina and Rajagopal: “Challenge-based research focuses on addressing societal and environmental problems. One way of doing so is by transforming existing businesses to profitable ventures through co-creation and co-evolution. Drawing on the resource-based view, this book discusses how social challenges can be linked with the industrial value-chain through collaborative research, knowledge sharing, and transfer of technology to deliver value. 

The work is divided into three sections: Part 1 discusses social challenges, triple bottom line, and entrepreneurship as drivers for research, learning, and innovation while Part 2 links challenge-based research to social and industrial development in emerging markets. The final section considers research-based innovation and the role of technology, with the final chapter bridging concepts and practices to shape the future of society and industry. The authors present the RISE paradigm, which integrates people (society), planet (sustainability), and profit (industry and business) as critical constructs for socio-economic and regional development. 

Arguing that the converging of society and industry is essential for the business ecosystem to stay competitive in the marketplace, this book analyzes possible approaches to linking challenge-based research with social and industrial innovations in the context of sectoral challenges like food production, housing, energy, biotechnology, and sustainability. It will serve as a valuable resource to researchers interested in topics such as social challenges, innovation, technology, sustainability, and society-industry linkage…(More)”.

Financing the Common Good


Article by Mariana Mazzucato: “…The international monetary system which emerged in the aftermath of World War II undoubtedly represented an important innovation. But its structure is no longer fit for purpose. The challenges we face today—from climate change to public-health crises—are complex, interrelated and global in nature. Our financial institutions must reflect this reality.

Because the financial system echoes the logic of the entire economic system, this will require a more fundamental change: we must broaden the economic thinking that has long underpinned institutional mandates. To shape the markets of the future, maximising public value in the process, we must embrace an entirely new economics.

Most economic thinking today assigns the state and multilateral actors responsibility for removing barriers to economic activity, de-risking trade and finance and levelling the playing-field for business. As a result, governments and international lenders tinker around the edges of markets, rather than doing what is actually needed—deliberately shaping the economic and financial system to advance the common good…(More)”.

The Global Coalition for SDG Syntheses


About: “The SDG Synthesis Coalition is an initiative spearheaded by UNDP and UNICEF bringing together 39 United Nations entities, bilateral and multilateral organizations, global evaluation networks, evidence synthesis collaborations, CSOs and the private sector to generate syntheses organized around the five Sustainable Development Goals (SDG) pillars (people, planet, prosperity, peace and partnership), to identify lessons for accelerating the achievement of development results based on global evaluative evidence…(More)”.

Innovation in Real Places


Book by Dan Breznitz: “Across the world, cities and regions have wasted trillions of dollars on blindly copying the Silicon Valley model of growth creation. Since the early years of the information age, we’ve been told that economic growth derives from harnessing technological innovation. To do this, places must create good education systems, partner with local research universities, and attract innovative hi-tech firms. We have lived with this system for decades, and the result is clear: a small number of regions and cities at the top of the high-tech industry but many more fighting a losing battle to retain economic dynamism.

But are there other models that don’t rely on a flourishing high-tech industry? In Innovation in Real Places, Dan Breznitz argues that there are. The purveyors of the dominant ideas on innovation have a feeble understanding of the big picture on global production and innovation. They conflate innovation with invention and suffer from techno-fetishism. In their devotion to start-ups, they refuse to admit that the real obstacle to growth for most cities is the overwhelming power of the real hubs, which siphon up vast amounts of talent and money. Communities waste time, money, and energy pursuing this road to nowhere. Breznitz proposes that communities instead focus on where they fit in the four stages in the global production process. Some are at the highest end, and that is where the Clevelands, Sheffields, and Baltimores are being pushed toward. But that is bad advice. Success lies in understanding the changed structure of the global system of production and then using those insights to enable communities to recognize their own advantages, which in turn allows to them to foster surprising forms of specialized innovation. As he stresses, all localities have certain advantages relative to at least one stage of the global production process, and the trick is in recognizing it. Leaders might think the answer lies in high-tech or high-end manufacturing, but more often than not, they’re wrong. Innovation in Real Places is an essential corrective to a mythology of innovation and growth that too many places have bought into in recent years. Best of all, it has the potential to prod local leaders into pursuing realistic and regionally appropriate models for growth and innovation…(More)”.

The Incredible Challenge of Counting Every Global Birth and Death


Jeneen Interlandi at The New York Times: “…The world’s wealthiest nations are awash in so much personal data that data theft has become a lucrative business and its protection a common concern. From such a vantage point, it can be difficult to even fathom the opposite — a lack of any identifying information at all — let alone grapple with its implications. But the undercounting of human lives is pervasive, data scientists say. The resulting ills are numerous and consequential, and recent history is littered with missed opportunities to solve the problem.

More than two decades ago, 147 nations rallied around the Millennium Development Goals, the United Nations’ bold new plan for halving extreme poverty, curbing childhood mortality and conquering infectious diseases like malaria and H.I.V. The health goals became the subject of countless international summits and steady news coverage, ultimately spurring billions of dollars in investment from the world’s wealthiest nations, including the United States. But a fierce debate quickly ensued. Critics said that health officials at the United Nations and elsewhere had almost no idea what the baseline conditions were in many of the countries they were trying to help. They could not say whether maternal mortality was increasing or decreasing, or how many people were being infected with malaria, or how fast tuberculosis was spreading. In a 2004 paper, the World Health Organization’s former director of evidence, Chris Murray, and other researchers described the agency’s estimates as “serial guessing.” Without that baseline data, progress toward any given goal — to halve hunger, for example — could not be measured…(More)”.