Initially touted as revolutionary and progressive in the 1990s, the lightening evolution of digital technologies, running on the coattails of continuous innovation, has been accompanied by the rise of both extreme socio-economic inequalities and loud and widespread populism, nationalism and overt racism. Many countries are undergoing de-democratization processes undergirded by very resilient neoliberalism, while claim-making by conservative political actors has gained considerable ground in the always contentious political arena.
The unexpected and devastating pandemic triggered by the accelerated spread of the SARS-COV-2 virus has put into evidence the real constraints of a now aging and highly monopolistic digital sector. While information and communication tools and platforms are indeed
Having been trashed for the last forty years or so, Governments have unexpectedly taken back center stage thanks to the Covid19 pandemic. The virus does not need a passport to travel around the world, nor any tough immigration legislation has managed to prevent it from freely crossing national borders. No country will be spared seems to be its harsh mandate, in a world where technology and globalization permeate most human interactions. Highly contagious, the only way known today to decelerate its spread is by minimizing direct human contact. In the absence of a global governance mechanism, only national governments can take effective action.
When China first opted to completely shut down Wuhan earlier in the year, the usual suspects immediately criticized the action as “authoritarian” and
Over a week ago, a mainstream media news outlet published an article (behind a paywall) suggesting that the disease caused by the SARS–CoV-2 virus, COVID19, was not as deadly as initially thought. The article cited the results of a non-peer review study completed by a Stanford-led team seemingly showing that the number of people infected in one California county was over 55 times higher than initially assumed. Using COVID19 immunity tests to check the actual population infected, the study went on to conclude that the county disease death or fatality rate was around 0.17 percent. By the way, such a rate is still 70 percent higher than the overall U.S. flu mortality rate for the 2018-2019 season of 0.10 percent.
The study was certainly not welcome by experts and statisticians due to glaring
For the last 30 years, relentless technological innovation has seemingly conquered most, if not all, corners of the world. While in its early stages, the focus was on infrastructure and social networks, the latest phase has set its eyes on core productive and financial processes that will undoubtedly have profound socio-economic and environmental impact across the board. Rapidly adapting to the emerging global context is the clarion call for most countries if they want to remain relevant and competitive at the global level.
Many developing countries find themselves in a unique situation. For starters, most innovations and technologies hold a foreign passport and thus need to first travel and then be adopted and adapted to the national context. Having local capacities –
In 1988, the Brussels-based Centre for Research on the Epidemiology of Disasters (CRED) launched the Emergency Events Database (EM-DAT) with the idea of promoting national and international humanitarian support to countries and regions affected by such events. Having a structured set of global data on the subject can also help policy and decisionmakers develop more comprehensive preparedness plans, properly assess vulnerabilities and facilitate on the ground interventions based on previous experiences.
Disaster data included in EM-DAT must fulfill at least one of the following conditions. 1. 10 or more people dead. 2. 100 or more people affected. 3. A declaration of a state of emergency. And 4. A call for international assistance. Data coverage starts in 1900 and covers 230 countries and
The current long wave of digital innovation has finally broken the last bastion of socio-economic resistance. While early advances transformed communications infrastructure and enhanced consumer interactions, the resurgence of Artificial Intelligence (AI) and all its relatives, alongside new technologies such as blockchains, have rattled seemingly immovable sectors of the economy thus opening the door for the global disruption of productive and financial processes. Not surprisingly, observers and pundits have quickly agreed on a label for such disruption, the 4th Industrial Revolution (4IR) that could have a profound impact on countries, institutions and people. No stone will remain untouched, such is the warning.
AI in the Global South
Countries in the Global South find themselves in a peculiar
Founded almost 40 years ago with the financial support of the MacArthur Foundation, the World Resources Institute (WRI) is one of the U.S most prominent research organizations working on environmental issues since its inception. The entity centers its efforts on scientific research and development while explicitly ignoring “ideology” or fostering activism. WRI has a wide range of scientific publications that have made outstanding contributions to the field over the years.
Last month, WRI published a paper, the 4th of an ongoing series, identifying the policies and technologies the U.S. will need to adopt to undertake carbon removal at scale. The publication offers four broad options, each discussed in detail, backed by relevant research and data, and linked to clear investment strategies
Hacking the Sky
Low, angry gray clouds, seemingly non-stop light rain and damp breathing air were hometown weather traits that most bothered me when I was growing up. Like most other children, I had a fascination with airplanes and could spend hours watching them. Going to the airport was one of the coolest things – nowadays not anymore. Planes, however, almost always managed to beat antagonistic weather. The opposite was my case. Bad weather automatically meant no outdoor play, parents reinforcing such terrible predicament. How could we change this, I started wondering.
My solution was simple. Equip a few small planes with some magical powder and get them to spray the menacing and sempiternal clouds. Viola! I could not understand why adults had not come up with such a brilliant idea.
A recent paper published under the auspices of Google Health makes a case for using deep learning algorithms to improve breast cancer detection. The research has been positively received by most and widely publicized as yet another victory of smart machines over weak, dumber humans. Only a few have been critical for good reasons. In this post, I will explore the methodology used in the research to highlight other critical issues. But before I take the dive, let me first set the scene.
Like education or justice, health is an information-rich sector, thus prone to rapid (not just digital) technology innovation and overall digitization. Unlike its peers, most if not all health-related services use a gamut of technologies, from simple thermometers and stethoscopes to noisy, giant
My paper on blockchains for the public sector in developing countries has been published by Frontiers, one of the leading open-access and community-driven academic publishers.
The paper develops an analytical framework that combines sustainable development, state capacity and digital technologies. In principle, the framework can be used to explore the adoption of technologies and innovation in the public sector and is thus not limited to blockchains.
As the central focus of my research was governments, exploring ways to increase state capacity by building strong and resilient democratic institutions and deploying new technologies was on the table. Like Artificial Intelligence and Machine Learning, blockchain is a technology that works best at the application layer. That means that the