Investing in Data Saves Lives


Mark Lowcock and Raj Shah at Project Syndicate: “…Our experience of building a predictive model, and its use by public-health officials in these countries, showed that this approach could lead to better humanitarian outcomes. But it was also a reminder that significant data challenges, regarding both gaps and quality, limit the viability and accuracy of such models for the world’s most vulnerable countries. For example, data on the prevalence of cardiovascular diseases was 4-7 years old in several poorer countries, and not available at all for Sudan and South Sudan.

Globally, we are still missing about 50% of the data needed to respond effectively in countries experiencing humanitarian emergencies. OCHA and The Rockefeller Foundation are cooperating to provide early insight into crises, during and beyond the COVID-19 pandemic. But realizing the full potential of our approach depends on the contributions of others.

So, as governments, development banks, and major humanitarian and development agencies reflect on the first year of the pandemic response, as well as on discussions at the recent World Bank Spring Meetings, they must recognize the crucial role data will play in recovering from this crisis and preventing future ones. Filling gaps in critical data should be a top priority for all humanitarian and development actors.

Governments, humanitarian organizations, and regional development banks thus need to invest in data collection, data-sharing infrastructure, and the people who manage these processes. Likewise, these stakeholders must become more adept at responsibly sharing their data through open data platforms and that maintain rigorous interoperability standards.

Where data are not available, the private sector should develop new sources of information through innovative methods such as using anonymized social-media data or call records to understand population movement patterns….(More)”.

Big Tech platforms in health research: Re-purposing big data governance in light of the General Data Protection Regulation’s research exemption


Paper by Luca Marelli, Giuseppe Testa, and Ine van Hoyweghen: “The emergence of a global industry of digital health platforms operated by Big Tech corporations, and its growing entanglements with academic and pharmaceutical research networks, raise pressing questions on the capacity of current data governance models, regulatory and legal frameworks to safeguard the sustainability of the health research ecosystem. In this article, we direct our attention toward the challenges faced by the European General Data Protection Regulation in regulating the potentially disruptive engagement of Big Tech platforms in health research. The General Data Protection Regulation upholds a rather flexible regime for scientific research through a number of derogations to otherwise stricter data protection requirements, while providing a very broad interpretation of the notion of “scientific research”. Precisely the breadth of these exemptions combined with the ample scope of this notion could provide unintended leeway to the health data processing activities of Big Tech platforms, which have not been immune from carrying out privacy-infringing and socially disruptive practices in the health domain. We thus discuss further finer-grained demarcations to be traced within the broadly construed notion of scientific research, geared to implementing use-based data governance frameworks that distinguish health research activities that should benefit from a facilitated data protection regime from those that should not. We conclude that a “re-purposing” of big data governance approaches in health research is needed if European nations are to promote research activities within a framework of high safeguards for both individual citizens and society….(More)”.

Anthro-Vision: A New Way to See in Business and Life


Book by Gillian Tett: “Amid severe digital disruption, economic upheaval, and political flux, how can we make sense of the world? Leaders today typically look for answers in economic models, Big Data, or artificial intelligence platforms. Gillian Tett points to anthropology—the study of human culture. Anthropologists train to get inside the minds of other people, helping them not only to understand other cultures but also to appraise their own environment with fresh perspective as an insider-outsider, gaining lateral vision.

Today, anthropologists are more likely to study Amazon warehouses than remote Amazon tribes; they have done research into institutions and companies such as General Motors, Nestlé, Intel, and more, shedding light on practical questions such as how internet users really define themselves; why corporate projects fail; why bank traders miscalculate losses; how companies sell products like pet food and pensions; why pandemic policies succeed (or not). Anthropology makes the familiar seem unfamiliar and vice versa, giving us badly needed three-dimensional perspective in a world where many executives are plagued by tunnel vision, especially in fields like finance and technology. Lively, lucid, and practical, Anthro-Vision offers a revolutionary new way for understanding the behavior of organizations, individuals, and markets in today’s ever-evolving world….(More)”

Deepfake Maps Could Really Mess With Your Sense of the World


Will Knight at Wired: “Satellite images showing the expansion of large detention camps in Xinjiang, China, between 2016 and 2018 provided some of the strongest evidence of a government crackdown on more than a million Muslims, triggering international condemnation and sanctions.

Other aerial images—of nuclear installations in Iran and missile sites in North Korea, for example—have had a similar impact on world events. Now, image-manipulation tools made possible by artificial intelligence may make it harder to accept such images at face value.

In a paper published online last month, University of Washington professor Bo Zhao employed AI techniques similar to those used to create so-called deepfakes to alter satellite images of several cities. Zhao and colleagues swapped features between images of Seattle and Beijing to show buildings where there are none in Seattle and to remove structures and replace them with greenery in Beijing.

Zhao used an algorithm called CycleGAN to manipulate satellite photos. The algorithm, developed by researchers at UC Berkeley, has been widely used for all sorts of image trickery. It trains an artificial neural network to recognize the key characteristics of certain images, such as a style of painting or the features on a particular type of map. Another algorithm then helps refine the performance of the first by trying to detect when an image has been manipulated….(More)”.

How European Governments Can Help Spur Innovations for the Public Good


Essay by By Marieke Huysentruyt: “…The stakes are high. In many OECD countries, inequality is at its highest levels in decades, and people are taking to the streets to express their discontent and demand change (in some cases at great personal risk). Only governments—with their uniquely broad scope of functions and mandates—can spur innovations for the public good in so many different domains simultaneously. Ideally, governments will step up and act collectively. After all, so many of today’s most pressing societal problems are global problems, beyond the scope of any single nation.

We Need a New Kind of Legal Framework to Activate and Transform Dormant Knowledge Into Innovations for the Public Good

Tremendous untapped potential lies dormant in knowledge and technology currently being used only for commercial purposes, but which could be put to significant social use. Consider the example of a cooling system currently being developed by Colruyt Group, a large Belgian retail group, to keep produce cool for up to three days without consuming electricity: such a technology could be applied elsewhere to great effect. For example, to help African farmers transport their milk or distribute vaccines over long (unelectrified) distances. Colruyt Group is therefore always looking for cases to implement their technology, so that it does not become dormant knowledge.

To facilitate this activation of dormant knowledges like these, we need a legal framework encouraging the development of “social impact licenses.” This would allow, for example, a technology holder to grant time-bounded permission to bring an intellectual property, a technology, a product, or a service to a predefined market for societal value creation at preferred rates or reduced costs. Another important step would be for EU governments to mandate that recipients of their innovation grants be required to give others access to their research, so it can be leveraged for practical, social purposes. Putting these sorts of measures in place would not only influence the next generation of researchers but could encourage businesses (who hold a great deal of intellectual property) to think more ambitiously about the positive societal impact that they can make.

We Need Better Information to Activate People to Search for the Public Good

Most of us lack a clear understanding of the societal problems at hand or have flawed mental models of pressing societal issues. Complexity and ambiguity tend to put people off, so governments must provide citizens with better and more reliable information about today’s most pressing societal challenges and solutions. The circular economy, greenhouse effects, the ecological transition, the global refugee problem, for example, can be difficult to grasp, and for this reason, access to non-partisan information is all the more important.

Sharing information about feasible solutions (as well as about solutions that have been tested and abandoned) can hugely accelerate discovery, as demonstrated by the joint efforts to develop a COVID-19 vaccine, shared across many labs. And just as they have played a key role in the development of the Internet and aviation technologies, governments can and should play a major role in building the technological and data infrastructure for sharing information about what works and what doesn’t. Again, because the problems are global, coordinating efforts across national boundaries could help reduce the costs and increase the benefits of such knowledge infrastructure.

Another essential tool in governments’ toolbox is fostering the development of other-regarding preferences: the more people care about others’ well-being, the more willing they are to contribute to search for the public good. For example, in a recent large-scale experiment in Germany, second-grade children were matched with mentors—potential prosocial role models—who spent one afternoon per week in one-to-one interactions with the children, doing things like visiting a zoo, museum, or playground, cooking, ice-skating, or simply having a conversation. After two years, the kids who had been assigned to mentors revealed a significant and persistent increase in prosociality, as captured through choice experiments and survey measures. Evaluations of this large-scale experiment suggest that prosociality is malleable, and that early childhood interventions of this type have the potential to systematically affect character formation, with possible long-term benefits….(More)”.

Next-generation nowcasting to improve decision making in a crisis


Frank Gerhard, Marie-Paule Laurent, Kyriakos Spyrounakos, and Eckart Windhagen at McKinsey: “In light of the limitations of the traditional models, we recommend a modified approach to nowcasting that uses country- and industry-specific expertise to boil down the number of variables to a selected few for each geography or sector, depending on the individual economic setting. Given the specific selection of each core variable, the relationships between the variables will be relatively stable over time, even during a major crisis. Admittedly, the more variables used, the easier it is to explain an economic shift; however, using more variables also means a greater chance of a break in some of the statistical relationships, particularly in response to an exogenous shock.

This revised nowcasting model will be more flexible and robust in periods of economic stress. It will provide economically intuitive outcomes, include the consideration of complementary, high-frequency data, and offer access to economic insights that are at once timely and unique.

Nowcast for Q1 2021 shows differing recovery speeds by sector and geography.

For example, consumer spending can be estimated in different US cities by combining data such as wages from business applications and footfall from mobility trend reports. As a more complex example: eurozone capitalization rates are, at the time of the writing of this article, available only through January 2021. However, a revamped nowcasting model can estimate current capitalization rates in various European countries by employing a handful of real-time and high-frequency variables for each, such as retail confidence indicators, stock-exchange indices, price expectations, construction estimates, base-metals prices and output, and even deposits into financial institutions. The choice of variable should, of course, be guided by industry and sector experts.

Similarly, published figures for gross value added (GVA) at the sector level in Europe are available only up to the second quarter of 2020. However, by utilizing selected variables, the new approach to nowcasting can provide an estimate of GVA through the first quarter of 2021. It can also highlight the different experiences of each region and industry sector in the recent recovery. Note that the sectors reliant on in-person interactions and of a nonessential nature have been slow to recover, as have the countries more reliant on international markets (exhibit)….(More)”.

Implications of the use of artificial intelligence in public governance: A systematic literature review and a research agenda


Paper by Anneke Zuiderwijk, Yu-CheChen and Fadi Salem: “To lay the foundation for the special issue that this research article introduces, we present 1) a systematic review of existing literature on the implications of the use of Artificial Intelligence (AI) in public governance and 2) develop a research agenda. First, an assessment based on 26 articles on this topic reveals much exploratory, conceptual, qualitative, and practice-driven research in studies reflecting the increasing complexities of using AI in government – and the resulting implications, opportunities, and risks thereof for public governance. Second, based on both the literature review and the analysis of articles included in this special issue, we propose a research agenda comprising eight process-related recommendations and seven content-related recommendations. Process-wise, future research on the implications of the use of AI for public governance should move towards more public sector-focused, empirical, multidisciplinary, and explanatory research while focusing more on specific forms of AI rather than AI in general. Content-wise, our research agenda calls for the development of solid, multidisciplinary, theoretical foundations for the use of AI for public governance, as well as investigations of effective implementation, engagement, and communication plans for government strategies on AI use in the public sector. Finally, the research agenda calls for research into managing the risks of AI use in the public sector, governance modes possible for AI use in the public sector, performance and impact measurement of AI use in government, and impact evaluation of scaling-up AI usage in the public sector….(More)”.

We know what you did during lockdown


An FT Film written by James Graham: “The Covid-19 pandemic has so scrambled our lives that we have barely blinked when the state has told us how many people can attend a wedding, where we can travel or even whether we should hug each other. This normalisation of the abnormal, during the moral panic of a national healthcare emergency, is the subject of People You May Know, a short film written by the playwright James Graham and commissioned by the Financial Times.

One of Britain’s most inquisitive and versatile playwrights, Graham says he has long been worried about the expansion of the “creeping data state” and has an almost “existential anxiety about privacy on all levels, emotional, philosophical, political, social”. Those concerns were first explored in his play Privacy (2014) in response to the revelations of Edward Snowden, the US security contractor turned whistleblower, who described how “the architecture of oppression” of the surveillance state had been built, if not yet fully utilised. 

In his new FT film, Graham investigates how the response to the pandemic has enabled the further intrusion of the data state and what it might mean for us all. “The power of drama is that it allows you to take a few more stepping stones into the imagined future,” he says in a Google Meet interview. …(More) (Film)”

The Case for Better Governance of Children’s Data: A Manifesto


The Case for Better Governance of Children’s Data: A Manifesto

Report by Jasmina Byrne, Emma Day and Linda Raftree: “Every child is different, with unique identities and their capacities and circumstances evolve over their lifecycle. Children are more vulnerable than adults and are less able to understand the long-term implications of consenting to their data collection. For these reasons, children’s data deserve to be treated differently.

While responsible data use can underpin many benefits for children, ensuring that children are protected, empowered and granted control of their data is still a challenge.

To maximise the benefits of data use for children and to protect them from harm requires a new model of data governance that is fitting for the 21st century.

UNICEF has worked with 17 global experts to develop a Manifesto that articulates a vision for a better approach to children’s data.

This Manifesto includes key action points and a call for a governance model purposefully designed to deliver on the needs and rights of children. It is the first step in ensuring that children’s rights are given due weight in data governance legal frameworks and processes as they evolve around the world….(More)”

Ethiopia’s blockchain deal is a watershed moment – for the technology, and for Africa


Iwa Salami at The Conversation: “At the launch of bitcoin in 2009 the size of the potential of the underlying technology, the blockchain, was not fully appreciated.

What has not been fully exploited is the unique features of blockchain technology that can improve the lives of people and businesses. These include the fact that it is an open source software. This makes its source code legally and freely available to end-users who can use it to create new products and services. Another significant feature is that it is decentralised, democratising the operation of the services built on it. Control of the services built on the blockchain isn’t in the hands of an individual or a single entity but involves all those connected to the network.

In addition, it enables peer to peer interaction between those connected to the network. This is key as it enables parties to transact directly without using intermediaries or third parties. Finally, it has inbuilt security. Data stored on it is immutable and cannot be changed easily. New data can be added only after it is verified by everyone in the network.

Unfortunately, bitcoin, the project that introduced blockchain technology, has hogged the limelight, diverting attention from the technology’s underlying potential benefits….

But this is slowly changing.

A few companies have begun showcasing blockchain capabilities to various African countries. Unlike most other cryptocurrency blockchains which focus on private sector use in developed regions like Europe and North America, their approach has been to target the governments and public institutions in the developing world.

In April the Ethiopian government confirmed that it had signed a deal to create a national database of student and teacher IDs using a decentralised digital identity solution. The deal involves providing IDs for 5 million students across 3,500 schools which will be used to store educational records.

This is the largest blockchain deal ever to be signed by a government and has been making waves in the crypto-asset industry.

I believe that the deal marks a watershed moment for the use of blockchain and the crypto-asset industry, and for African economies because it offers the promise of blockchain being used for real socio-economic change. The deal means that blockchain technology will be used to provide digital identity to millions of Ethiopians. Digital identity – missing in most African countries – is the first step to real financial inclusion, which in turn has been shown to carry a host of benefits….(More)”.