How Low and Middle-Income Countries Are Innovating to Combat Covid


Article by Ben Ramalingam, Benjamin Kumpf, Rahul Malhotra and Merrick Schaefer: “Since the Covid-19 pandemic hit, innovators around the world have developed thousands of novel solutions and practical approaches to this unprecedented global health challenge. About one-fifth of those innovations have come from low- and middle-income countries across sub-Saharan Africa, South Asia, and Latin America, according to our analysis of WHO data, and they work to address the needs of poor, marginalized, or excluded communities at the so-called bottom of the pyramid.

Over the past year we’ve been able to learn from and support some of those inspiring innovators. Their approaches are diverse in scope and scale and cover a vast range of pandemic response needs — from infection prevention and control to community engagement, contract tracing, social protection, business continuity, and more.

Here we share seven lessons from those innovators that offer promising insights not only for the ongoing Covid response but also for how we think about, manage, and enable innovation.

1. Ensure that your solutions are sensitive to social and cultural dynamics. 

Successful innovations are relevant to the lived realities of the people they’re intended to help. Socially and culturally sensitive design approaches see greater uptake and use. This is true in both resource-constrained and resource-rich environments.

Take contact tracing in Kenya. In a context where more than half of all residents use public transportation every day, the provider of a ticketing app for Nairobi’s bus fleets adapted its software to collect real-time passenger data. The app has been used across one of the world’s most mobile populations to trace Covid-19 cases, identify future clusters, trigger automated warnings to exposed passengers, and monitor the maximum number of people that could safely be allowed in each vehicle….(More)”.

Platform as a Rule Maker: Evidence from Airbnb’s Cancellation Policies


Paper by Jian Jia, Ginger Zhe Jin & Liad Wagman: “Digital platforms are not only match-making intermediaries but also establish internal rules that govern all users in their ecosystems. To better understand the governing role of platforms, we study two Airbnb pro-guest rules that pertain to guest and host cancellations, using data on Airbnb and VRBO listings in 10 US cities. We demonstrate that such pro-guest rules can drive demand and supply to and from the platform, as a function of the local platform competition between Airbnb and VRBO. Our results suggest that platform competition sometimes dampens a platform wide pro-guest rule and sometimes reinforces it, often with heterogeneous effects on different hosts. This implies that platform competition does not necessarily mitigate a platform’s incentive to treat the two sides asymmetrically, and any public policy in platform competition must consider its implication on all sides….(More)”.

Building an Inclusive Digital Future


Article by Lee Jong-Wha: “…Addressing such questions is essential to preparing for the post-pandemic era, when all countries will need to embrace new ways of working, producing, and consuming. Digitalization can make a huge contribution to public health, the environment, consumer welfare, and wealth creation across society, but only if the public and private sectors work together to ensure inclusiveness.

Most countries will need policies to narrow the gaps in digital skills and access, because a growing share of jobs will require more technological know-how. Education systems must do more to equip students with the knowledge and skills they will need in a digital future. And job training must keep all workers up to date on the latest digital technologies.

Governments have a critical role to play on all of these fronts. It was state support and commitments that brought us revolutionary innovations like the internet, antibiotics, renewable energy, and the mRNA technology behind the development of the most effective COVID-19 vaccines. To fulfill their role as market makers, governments need to increase investments in physical infrastructure and human capital, and provide financial and tax incentives to ensure equitable access to critical technologies. They should also be exploring ways to provide more grants, subsidies, and technical support for small and medium enterprises and start-ups, so that the benefits of digital revolution do not remain limited to a few large companies….(More)”.

Living Labs for Public Sector Innovation: An Integrative Literature Review


Paper by Lars Fuglsang, Anne Vorre Hansen, Ines Mergel, and Maria Taivalsaari Røhnebæk: “The public administration literature and adjacent fields have devoted increasing attention to living labs as environments and structures enabling the co-creation of public sector innovation. However, living labs remain a somewhat elusive concept and phenomenon, and there is a lack of understanding of its versatile nature. To gain a deeper understanding of the multiple dimensions of living labs, this article provides a review assessing how the environments, methods, and outcomes of living labs are addressed in the extant research literature. The findings are drawn together in a model synthesizing how living labs link to public sector innovation, followed by an outline of knowledge gaps and future research avenues….(More)”.

Process Mapping: a Tool with Many Uses


Essay by Jessica Brandt: “Traditionally, process maps are used when one is working on improving a process, but a good process map can serve many purposes. But what is a process map used for and why is this a tool worth learning about? A process map is a tool using a flowchart to illustrate the flow, people, as well as inputs, actions, and outputs of the process in a clear and detailed way. A good process map will reflect the work that is actually done within a given process, not what the intended or imagined workflow might entail. This means in order to build a good process map you should be talking to and learning from the folks that use the process every day, not just the people that oversee the process. Because I see the value behind having a good process map and the many ways you can utilize one to make your work more efficient I want to share with you some of the different ways you can use this versatile tool….(More)”.

The Contestation of Tech Ethics: A Sociotechnical Approach to Ethics and Technology in Action


Paper by Ben Green: “Recent controversies related to topics such as fake news, privacy, and algorithmic bias have prompted increased public scrutiny of digital technologies and soul-searching among many of the people associated with their development. In response, the tech industry, academia, civil society, and governments have rapidly increased their attention to “ethics” in the design and use of digital technologies (“tech ethics”). Yet almost as quickly as ethics discourse has proliferated across the world of digital technologies, the limitations of these approaches have also become apparent: tech ethics is vague and toothless, is subsumed into corporate logics and incentives, and has a myopic focus on individual engineers and technology design rather than on the structures and cultures of technology production. As a result of these limitations, many have grown skeptical of tech ethics and its proponents, charging them with “ethics-washing”: promoting ethics research and discourse to defuse criticism and government regulation without committing to ethical behavior. By looking at how ethics has been taken up in both science and business in superficial and depoliticizing ways, I recast tech ethics as a terrain of contestation where the central fault line is not whether it is desirable to be ethical, but what “ethics” entails and who gets to define it. This framing highlights the significant limits of current approaches to tech ethics and the importance of studying the formulation and real-world effects of tech ethics. In order to identify and develop more rigorous strategies for reforming digital technologies and the social relations that they mediate, I describe a sociotechnical approach to tech ethics, one that reflexively applies many of tech ethics’ own lessons regarding digital technologies to tech ethics itself….(More)”

Social-Tech Entrepreneurs: Building Blocks of a New Social Economy


Article by Mario Calderini, Veronica Chiodo, Francesco Gerli & Giulio Pasi: “Is it possible to create a sustainable, human-centric, resilient economy that achieves diverse objectives—including growth, inclusion, and equity? Could industry provide prosperity beyond jobs and economic growth, by adopting societal well-being as a compass to inform the production of goods and services?

The policy brief “Industry 5.0,” recently released by the European Commission, seems to reply positively. It makes the case for conceiving economic growth as a means to inclusive prosperity. It is also an invitation to rethink the role of industry in society, and reprioritize policy targets and tools

The following reflection, based on insights gathered from empirical research, is a first attempt to elaborate on how we might achieve this rethinking, and aims to contribute to the social economy debate in Europe and beyond.

A New Entrepreneurial Genre

A new entrepreneurial genre forged by the values of social entrepreneurship and fueled by technological opportunities is emerging, and it is well-poised to mend the economic and social wounds inflicted by both COVID-19 and the unexpected consequences of the early knowledge economy—an economy built around ideas and intellectual capital, and driven by diffused creativity, technology, and innovation.

We believe this genre, which we call social-tech entrepreneurship, is important to inaugurating a new generation of place-based, innovation-driven development policies inspired by a more inclusive idea of growth—though under the condition that industrial and innovation policies include it in their frame of reference.

This is partly because social innovation has undergone a complex transformation in recent years. It has seen a hybridization of social and commercial objectives and, as a direct consequence, new forms of management that support organizational missions that blend the two. Today, a more recent trend, reinforced by the pandemic, might push this transformation further: the idea that technologies—particularly those commoditized in the digital and software domains—offer a unique opportunity to solve societal challenges at scale.

Social-tech entrepreneurship differs from the work of high-tech companies in that, as researchers Geoffrey Desa and Suresh Kotha explain, it specifically aims to “develop and deploy technology-driven solutions to address social needs.” A social-tech entrepreneur also leverages technology not just to make parts of their operations more efficient, but to prompt a disruptive change in the way a specific social problem is addressed—and in a way that safeguards economic sustainability. In other words, they attempt to satisfy a social need through technological innovation in a financially sustainable manner. …(More)”.

Are Repeat Nudges Effective? For Tardy Tax Filers, It Seems So


Paper by Nicole Robitaille, Nina Mažar, and Julian House: “While behavioral scientists sometimes aim to nudge one-time actions, such as registering as an organ donor or signing up for a 401K, there are many other behaviors—making healthy food choices, paying bills, filing taxes, getting a flu shot—that are repeated on a daily, monthly, or annual basis. If you want to target these recurrent behaviors, can introducing a nudge once lead to consistent changes in behavior? What if you presented the same nudge several times—would seeing it over and over make its effects stronger, or just the opposite?

Decades of research from behavioral science has taught us a lot about nudges, but the field as a whole still doesn’t have a great understanding of the temporal dimensions of most interventions, including how long nudge effects last and whether or not they remain effective when repeated.

If you want an intervention to lead to lasting behavior change, prior research argues that it should target people’s beliefs, habits or the future costs of engaging in the behavior. Many nudges, however, focus instead on manipulating relatively small factors in the immediate choice environment to influence behavior, such as changing the order in which options are presented. In addition, relatively few field experiments have been able to administer and measure an intervention’s effects more than once, making it hard to know how long the effects of nudges are likely to persist.

While there is some research on what to expect when repeating nudges, the results are mixed. On the one hand, there is an extensive body of research in psychology on habituation, finding that, over time, people show decreased responses to the same stimuli. It wouldn’t be a giant leap to presume that seeing the same nudge again might decrease how much attention we pay to it, and thus hinder its ability to change our behavior. On the other hand, being exposed to the same nudge multiple times might help strengthen desired associations. Research on the mere exposure effect, for example, illustrates how the more times we see something, the more easily it is processed and the more we like it. It is also possible that being nudged multiple times could help foster enduring change, such as through new habit formation. Behavioral nudges aren’t going away, and their use will likely grow among policymakers and practitioners. It is critical to understand the temporal dimensions of these interventions, including how long one-off effects will last and if they will continue to be effective when seen multiple times….(More)”

The pandemic showed that big tech isn’t a public health savior


Nicole Wetsman at Verge: “…It seemed like Big Tech, with its analytic firepower and new focus on health, could help with these very real problems. “We saw all over the papers: Facebook is gonna save the world, and Google’s going to save the world,” says Katerini Storeng, a medical anthropologist who studies public-private partnerships in global public health at the University of Oslo. Politicians were eager to welcome Silicon Valley to the table and to discuss the best ways to manage the pandemic. “It was remarkable, and indicative of a blurring of the boundaries between the public domain and the private domain,” Storeng says.

Over a year later, many of the promised tech innovations never materialized. There are areas where tech companies have made significant contributions — like collecting mobility data that helped officials understand the effects of social distancing policies. But Google wasn’t actually building a nationwide testing website. The program that eventually appeared, a testing program for California run by Google’s sibling company Verily, was quietly phased out after it created more problems than it solved.

Now, after a year, we’re starting to get a clear picture of what worked, what didn’t, and what the relationship between Big Tech and public health might look like in the future.

Tech companies were interested in health before the pandemic, and COVID-19 accelerated those initiatives. There may be things that tech companies are better equipped to handle than traditional public health agencies and other public institutions, and the past year showed some of those strengths. But it also showed their weaknesses and underscored the risks to putting health responsibilities in the hands of private companies — which have goals outside of the public good.

When the pandemic started, Storeng was already studying how private companies participated in public health preparedness efforts. Over the past two decades, consumers and health officials have become more and more confident that tech hacks can be shortcuts to healthy communities. These digital hacks can take many forms and include everything from a smartphone app nudging people toward exercise to a data model analyzing how an illness spreads, she says.

“What they have in common, I think, is this hope and optimism that it’ll help bypass some more systemic, intrinsic problems,” Storeng says.

But healthcare and public health present hard problems. Parachuting in with a new approach that isn’t based on a detailed understanding of the existing system doesn’t always work. “I think we tend to believe in our culture that higher tech, private sector is necessarily better,” says Melissa McPheeters, co-director of the Center for Improving the Public’s Health through Informatics at Vanderbilt University. “Sometimes that’s true. And sometimes it’s not.”

McPheeters spent three years as the director of the Office of Informatics and Analytics at the Tennessee Department of Health. While in that role, she got calls from technology companies all the time, promising quick fixes to any data issues the department was facing. But they were more interested in delivering a product than a collaboration, she says. “It never began with, ‘Help me understand your problem.’”…(More)”

A growing number of governments hope to clone America’s DARPA


The Economist: “Using messenger RNA to make vaccines was an unproven idea. But if it worked, the technique would revolutionise medicine, not least by providing protection against infectious diseases and biological weapons. So in 2013 America’s Defence Advanced Research Projects Agency (DARPA) gambled. It awarded a small, new firm called Moderna $25m to develop the idea. Eight years, and more than 175m doses later, Moderna’s covid-19 vaccine sits on the list of innovations for which DARPA can claim at least partial credit, alongside weather satellites, GPS, drones, stealth technology, voice interfaces, the personal computer and the internet.

It is the agency that shaped the modern world, and this success has spurred imitators. In America there are ARPAs for homeland security, intelligence and energy, as well as the original defence one. President Joe Biden has asked Congress for $6.5bn to set up a health version, which will, the president vows, “end cancer as we know it”. His administration also has plans for another, to tackle climate change. Germany has recently established two such agencies: one civilian (the Federal Agency for Disruptive Innovation, or SPRIN-D) and another military (the Cybersecurity Innovation Agency). Japan’s version is called Moonshot R&D. In Britain, a bill for an Advanced Research and Invention Agency—often referred to as UK ARPA—is making its way through parliament….(More)”.