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
As Artificial Intelligence (AI) seemingly continues to permeate all interstices of society, measuring its undaunted progress in the age of data is more than a priority. In a previous post, I share some insights on the Global AI Readiness Index that covered almost all UN member states. The new Global AI Index (GAII), created by Tortoise media with the support of experts from government, academia and the business sector, is geographically less ambitious but aims at a more sophisticated target. It covers 54 countries and its core goal is not readiness but rather capacity. The company informs us that the index is a response to demands from some government on the subject. However, the report is intended not only for governments but also for businesses and communities.
In spite of obvious differences,
Governments in developing countries are just one of the many players involved in promoting sustainable development – in many cases, with direct support from bilateral and multilateral donor organizations. However, governments are, in principle, bound by the overall development commitments they make at the national and international levels.
There are indeed several different interconnected layers here that constitute what can be called the development onion.
At the international level, most governments in the Global South have committed to the SDG agenda and should achieve the many targets set by 2030. This is the outer layer of the onion. However, international cooperation is not limited to the SDGs. Global themes such as cybersecurity, terrorism, refugees and other humanitarian issues
In a previous post, I explored the relationship between C02 emissions, country income levels and population looking at production data only. Here, emissions are assigned to the country where goods or services are produced or generated, disregarding final consumption. In a globalized economy, however, we should expect that many products are indeed consumed far away from their home countries. Migration is the normal state of affairs. For example, steel produced in China, Japan or India, the top three world leaders, might travel to the U.S or the E.U for final consumption. CO2 emissions generated by such steel consumption should thus be allocated to the countries importing steel – and not to the steel producers.
Note that in our example the U.S. and the E.U can, in turn, export products that
Trade is one of the main trademarks of the globalization process. Nowadays, most countries exchange products and services regularly and use local comparative advantages to specialize in specific trade sectors and/or commodities. Food and agricultural products are important components of this process. Within countries, rapid urbanization has increased the demand for food. Simultaneously, the number of people working in the agricultural sector and living in rural areas has decreased substantially. While some food staples are imported, others are still produced locally but must travel from rural areas to urban centers and big cities to meet the demand.
Food products are thus in perpetual motion, moving from their place of birth as soon as possible towards a wide variety of geographic locations,
In this sequel post, I will look at the various components of the UNDESA e-government index and then introduce the EIU democracy index to explore potential interlinks between the two,
The e-government development index (EGDI) comprises three distinct components 1. Online services. 2. Telecom infrastructure. And 3. Human capital. While the last two are obtained from external data sources (ITU, UNESCO, UNICEF), the first one is directly developed by the UN. A combination of website checking and a questionnaire sent to UN member states is used to generate the required data – albeit the data is not publicly available. The e-participation index comes from the same source.
The telecom index relies on user access to the Internet, mobiles, analog phones, and broadband. The human
The town where I currently reside is planning to change its e-Waste collection policy starting next year. As it is today, town people can go downtown once a month and drop their old computers, laptops, monitors and the rest. This will now be reduced to one day per year. Missing that date will entail people having to go to some other place out of town to take care of business. Or one could try to go to a nearby and more affluent village where one can drop the stuff at any time. Probably not kosher, though.
I am not sure if this change is the result of budget cuts or lower demand for such service – or both. I am not really following town decision-making processes. But I do know that e-Waste collection is a state law, and all towns must thus take care of business. Note that appliances such
A silent but intense competition seems to be taking place when it comes to defining blockchain technology. A Google search for the question “What is blockchain” yields over 120 million possible results. This number includes thousands of guides, videos, FAQs and other “educational” material on the subject. A shining example is a video depicting a blockchain expert trying to explain the technology to a 5-year-old kid. Really?
One common trait of all these resources is the lack of agreement on a single and straightforward definition of a blockchain. So take your pick. But, as mentioned in a previous post, this is probably not that relevant. After all, many people use mobile phones on an hourly basis and have no idea how they work. They do not need to, nor do they seem to care about it. The