Zero emission cars fuelled by hydrogen and computer chips that mimic the human brain are among the technological breakthroughs recognized as the Top 10 Emerging Technologies of 2015.
The WEF’s Meta-Council on Emerging Technologies, compiles the list each year to help raise attention for those technologies its members believe possess the greatest potential for addressing chronic global challenges. The purpose is also to initiate a debate on any human, societal, economic or environmental risks the technologies pose, with the aim of addressing any concerns before adoption becomes widespread.
This year’s list offers a glimpse of the power of innovation to improve lives, transform industries and safeguard the planet:
1. Fuel cell vehicles
Zero-emission cars that run on hydrogen
“Fuel cell” vehicles have been long promised, as they potentially offer several major advantages over electric and hydrocarbon-powered vehicles. However, the technology has only now begun to reach the stage where automotive companies are planning to launch them for consumers. Initial prices are likely to be in the range of $70,000, but should come down significantly as volumes increase within the next couple of years.
Unlike batteries, which must be charged from an external source, fuel cells generate electricity directly, using fuels such as hydrogen or natural gas. In practice, fuel cells and batteries are combined, with the fuel cell generating electricity and the batteries storing this energy until demanded by the motors that drive the vehicle. Fuel cell vehicles are therefore hybrids, and will likely also deploy regenerative braking – a key capability for maximizing efficiency and range.
Unlike battery-powered electric vehicles, fuel cell vehicles behave as any conventionally fuelled vehicle. With a long cruising range – up to 650 km per tank (the fuel is usually compressed hydrogen gas) – a hydrogen fuel refill only takes about three minutes. Hydrogen is clean-burning, producing only water vapour as waste, so fuel cell vehicles burning hydrogen will be zero-emission, an important factor given the need to reduce air pollution.
There are a number of ways to produce hydrogen without generating carbon emissions. Most obviously, renewable sources of electricity from wind and solar sources can be used to electrolyse water – though the overall energy efficiency of this process is likely to be quite low. Hydrogen can also be split from water in high-temperature nuclear reactors or generated from fossil fuels such as coal or natural gas, with the resulting CO2 captured and sequestered rather than released into the atmosphere.
As well as the production of cheap hydrogen on a large scale, a significant challenge is the lack of a hydrogen distribution infrastructure that would be needed to parallel and eventually replace petrol and diesel filling stations. Long distance transport of hydrogen, even in a compressed state, is not considered economically feasible today. However, innovative hydrogen storage techniques, such as organic liquid carriers that do not require high-pressure storage, will soon lower the cost of long-distance transport and ease the risks associated with gas storage and inadvertent release.
Mass-market fuel cell vehicles are an attractive prospect, because they will offer the range and fuelling convenience of today’s diesel and petrol-powered vehicles while providing the benefits of sustainability in personal transportation. Achieving these benefits will, however, require the reliable and economical production of hydrogen from entirely low-carbon sources, and its distribution to a growing fleet of vehicles (expected to number in the many millions within a decade).
2. Next-generation robotics
Rolling away from the production line
The popular imagination has long foreseen a world where robots take over all manner of everyday tasks.
This robotic future has stubbornly refused to materialize, however, with robots still limited to factory assembly lines and other controlled tasks. Although heavily used (in the automotive industry, for instance) these robots are large and dangerous to human co-workers; they have to be separated by safety cages.
Advances in robotics technology are making human-machine collaboration an everyday reality. Better and cheaper sensors make a robot more able to understand and respond to its environment. Robot bodies are becoming more adaptive and flexible, with designers taking inspiration from the extraordinary flexibility and dexterity of complex biological structures, such as the human hand. And robots are becoming more connected, benefiting from the cloud-computing revolution by being able to access instructions and information remotely, rather than having to be programmed as a fully autonomous unit.
The new age of robotics takes these machines away from the big manufacturing assembly lines, and into a wide variety of tasks. Using GPS technology, just like smartphones, robots are beginning to be used in precision agriculture for weed control and harvesting. In Japan, robots are being trialled in nursing roles: they help patients out of bed and support stroke victims in regaining control of their limbs. Smaller and more dextrous robots, such as Dexter Bot, Baxter and LBR iiwa, are designed to be easily programmable and to handle manufacturing tasks that are laborious or uncomfortable for human workers.
Indeed, robots are ideal for tasks that are too repetitive or dangerous for humans to undertake, and can work 24 hours a day at a lower cost than human workers. In reality, new-generation robotic machines are likely to collaborate with humans rather than replace them. Even considering advances in design and artificial intelligence, human involvement and oversight will remain essential.
There remains the risk that robots may displace human workers from jobs, although previous generations of automation have tended to lead to higher productivity and growth with benefits throughout the economy. Decades-old fears of networked robots running out of control may become more salient with next generation robotics linked into the web – but more likely familiarisation as people employ domestic robots to do household chores will reduce fears rather than fan them. And new research into social robots – that know how to collaborate and build working alliances with humans – means that a future where robots and humans work together, each to do what it does best – is a strong likelihood. Nevertheless, however, the next generation of robotics poses novel questions for fields from philosophy to anthropology about the human relationship to machines.
3. Recyclable thermoset plastics
A new kind of plastic to cut landfill waste
Plastics are divided into thermoplastics and thermoset plastics. The former can be heated and shaped many times, and are ubiquitous in the modern world, comprising everything from children’s toys to lavatory seats. Because they can be melted down and reshaped, thermoplastics are generally recyclable. Thermoset plastics however can only be heated and shaped once, after which molecular changes mean that they are “cured”, retaining their shape and strength even when subject to intense heat and pressure.
Due to this durability, thermoset plastics are a vital part of our modern world, and are used in everything from mobile phones and circuit boards to the aerospace industry. But the same characteristics that have made them essential in modern manufacturing also make them impossible to recycle. As a result, most thermoset polymers end up as landfill. Given the ultimate objective of sustainability, there has long been a pressing need for recyclability in thermoset plastics.
In 2014 critical advances were made in this area, with the publication of a landmark paper in the journal Science announcing the discovery of new classes of thermosetting polymers that are recyclable. Called poly(hexahydrotriazine)s, or PHTs, these can be dissolved in strong acid, breaking apart the polymer chains into component monomers that can then be reassembled into new products. Like traditional unrecyclable thermosets, these new structures are rigid, resistant to heat and tough, with the same potential applications as their unrecyclable forerunners.
Although no recycling is 100% efficient, this innovation – if widely deployed – should speed up the move towards a circular economy with a big reduction in landfill waste from plastics. We expect recyclable thermoset polymers to replace unrecyclable thermosets within five years, and to be ubiquitous in newly manufactured goods by 2025.
4. Precise genetic-engineering techniques
A breakthrough offers better crops with less controversy
Conventional genetic engineering has long caused controversy. However, new techniques are emerging that allow us to directly “edit” the genetic code of plants to make them, for example, more nutritious or better able to cope with a changing climate.
Currently, the genetic engineering of crops relies on the bacterium agrobacterium tumefaciens to transfer desired DNA into the target genome. The technique is proven and reliable, and despite widespread public fears, there is a consensus in the scientific community that genetically modifying organisms using this technique is no more risky than modifying them using conventional breeding. However, while agrobacterium is useful, more precise and varied genome-editing techniques have been developed in recent years.
These include ZFNs, TALENS and, more recently, the CRISPR-Cas9 system, which evolved in bacteria as a defence mechanism against viruses. CRISPR-Cas9 system uses an RNA molecule to target DNA, cutting to a known, user-selected sequence in the target genome. This can disable an unwanted gene or modify it in a way that is functionally indistinguishable from a natural mutation. Using “homologous recombination”, CRISPR can also be used to insert new DNA sequences, or even whole genes, into the genome in a precise way.
Another aspect of genetic engineering that appears poised for a major advance is the use of RNA interference (RNAi) in crops. RNAi is effective against viruses and fungal pathogens, and can also protect plants against insect pests, reducing the need for chemical pesticides. Viral genes have been used to protect papaya plants against the ringspot virus, for example, with no sign of resistance evolving in over a decade of use in Hawaii. RNAi may also benefit major staple-food crops, protecting wheat against stem rust, rice against blast, potato against blight and banana against fusarium wilt.
Many of these innovations will be particularly beneficial to smaller farmers in developing countries. As such, genetic engineering may become less controversial, as people recognize its effectiveness at boosting the incomes and improving the diets of millions of people. In addition, more precise genome editing may allay public fears, especially if the resulting plant or animal is not considered transgenic because no foreign genetic material is introduced.
Taken together, these techniques promise to advance agricultural sustainability by reducing input use in multiple areas, from water and land to fertilizer, while also helping crops to adapt to climate change.
5. Additive manufacturing
The future of making things, from printable organs to intelligent clothes
As the name suggests, additive manufacturing is the opposite of subtractive manufacturing. The latter is how manufacturing has traditionally been done: starting with a larger piece of material (wood, metal, stone, etc), layers are removed, or subtracted, to leave the desired shape. Additive manufacturing instead starts with loose material, either liquid or powder, and then builds it into a three-dimensional shape using a digital template.
3D products can be highly customized to the end user, unlike mass-produced manufactured goods. An example is the company Invisalign, which uses computer imaging of customers’ teeth to make near-invisible braces tailored to their mouths. Other medical applications are taking 3D printing in a more biological direction: by directly printing human cells, it is now possible to create living tissues that may find potential application in drug safety screening and, ultimately, tissue repair and regeneration. An early example of this bioprinting is Organovo’s printed liver-cell layers, which are aimed at drug testing, and may eventually be used to create transplant organs. Bioprinting has already been used to generate skin and bone, as well as heart and vascular tissue, which offer huge potential in future personalized medicine.
An important next stage in additive manufacturing would be the 3D printing of integrated electronic components, such as circuit boards. Nano-scale computer parts, like processors, are difficult to manufacture this way because of the challenges of combining electronic components with others made from multiple different materials. 4D printing now promises to bring in a new generation of products that can alter themselves in response to environmental changes, such as heat and humidity. This could be useful in clothes or footwear, for example, as well as in healthcare products, such as implants designed to change in the human body.
Like distributed manufacturing, additive manufacturing is potentially highly disruptive to conventional processes and supply chains. But it remains a nascent technology today, with applications mainly in the automotive, aerospace and medical sectors. Rapid growth is expected over the next decade as more opportunities emerge and innovation in this technology brings it closer to the mass market.
6. Emergent artificial intelligence
What happens when a computer can learn on the job?
Artificial intelligence (AI) is, in simple terms, the science of doing by computer the things that people can do. Over recent years, AI has advanced significantly: most of us now use smartphones that can recognize human speech, or have travelled through an airport immigration queue using image-recognition technology. Self-driving cars and automated flying drones are now in the testing stage before anticipated widespread use, while for certain learning and memory tasks, machines now outperform humans. Watson, an artificially intelligent computer system, beat the best human candidates at the quiz game Jeopardy.
Artificial intelligence, in contrast to normal hardware and software, enables a machine to perceive and respond to its changing environment. Emergent AI takes this a step further, with progress arising from machines that learn automatically by assimilating large volumes of information. An example is NELL, the Never-Ending Language Learning project from Carnegie Mellon University, a computer system that not only reads facts by crawling through hundreds of millions of web pages, but attempts to improve its reading and understanding competence in the process in order to perform better in the future.
Like next-generation robotics, improved AI will lead to significant productivity advances as machines take over – and even perform better – at certain tasks than humans. There is substantial evidence that self-driving cars will reduce collisions, and resulting deaths and injuries, from road transport, as machines avoid human errors, lapses in concentration and defects in sight, among other problems. Intelligent machines, having faster access to a much larger store of information, and able to respond without human emotional biases, might also perform better than medical professionals in diagnosing diseases. The Watson system is now being deployed in oncology to assist in diagnosis and personalized, evidence-based treatment options for cancer patients.
Long the stuff of dystopian sci-fi nightmares, AI clearly comes with risks – the most obvious being that super-intelligent machines might one day overcome and enslave humans. This risk, while still decades away, is taken increasingly seriously by experts, many of whom signed an open letter coordinated by the Future of Life Institute in January 2015 to direct the future of AI away from potential pitfalls. More prosaically, economic changes prompted by intelligent computers replacing human workers may exacerbate social inequalities and threaten existing jobs. For example, automated drones may replace most human delivery drivers, and self-driven short-hire vehicles could make taxis increasingly redundant.
On the other hand, emergent AI may make attributes that are still exclusively human – creativity, emotions, interpersonal relationships – more clearly valued. As machines grow in human intelligence, this technology will increasingly challenge our view of what it means to be human, as well as the risks and benefits posed by the rapidly closing gap between man and machine.
7. Distributed manufacturing
The factory of the future is online – and on your doorstep
Distributed manufacturing turns on its head the way we make and distribute products. In traditional manufacturing, raw materials are brought together, assembled and fabricated in large centralized factories into identical finished products that are then distributed to the customer. In distributed manufacturing, the raw materials and methods of fabrication are decentralized, and the final product is manufactured very close to the final customer.
In essence, the idea of distributed manufacturing is to replace as much of the material supply chain as possible with digital information. To manufacture a chair, for example, rather than sourcing wood and fabricating it into chairs in a central factory, digital plans for cutting the parts of a chair can be distributed to local manufacturing hubs using computerized cutting tools known as CNC routers. Parts can then be assembled by the consumer or by local fabrication workshops that can turn them into finished products. One company already using this model is the US furniture company AtFAB.
Current uses of distributed manufacturing rely heavily on the DIY “maker movement”, in which enthusiasts use their own local 3D printers and make products out of local materials. There are elements of open-source thinking here, in that consumers can customize products to their own needs and preferences. Instead of being centrally driven, the creative design element can be more crowdsourced; products may take on an evolutionary character as more people get involved in visualizing and producing them.
Distributed manufacturing is expected to enable a more efficient use of resources, with less wasted capacity in centralized factories. It also lowers the barriers to market entry by reducing the amount of capital required to build the first prototypes and products. Importantly, it should reduce the overall environmental impact of manufacturing: digital information is shipped over the web rather than physical products over roads or rails, or on ships; and raw materials are sourced locally, further reducing the amount of energy required for transportation.
If it becomes more widespread, distributed manufacturing will disrupt traditional labour markets and the economics of traditional manufacturing. It does pose risks: it may be more difficult to regulate and control remotely manufactured medical devices, for example, while products such as weapons may be illegal or dangerous. Not everything can be made via distributed manufacturing, and traditional manufacturing and supply chains will still have to be maintained for many of the most important and complex consumer goods.
Distributed manufacturing may encourage broader diversity in objects that are today standardized, such as smartphones and automobiles. Scale is no object: one UK company, Facit Homes, uses personalized designs and 3D printing to create customized houses to suit the consumer. Product features will evolve to serve different markets and geographies, and there will be a rapid proliferation of goods and services to regions of the world not currently well served by traditional manufacturing.
8. ‘Sense and avoid’ drones
Flying robots to check power lines or deliver emergency aid
Unmanned aerial vehicles, or drones, have become an important and controversial part of military capacity in recent years. They are also used in agriculture, for filming and multiple other applications that require cheap and extensive aerial surveillance. But so far all these drones have had human pilots; the difference is that their pilots are on the ground and fly the aircraft remotely.
The next step with drone technology is to develop machines that fly themselves, opening them up to a wider range of applications. For this to happen, drones must be able to sense and respond to their local environment, altering their height and flying trajectory in order to avoid colliding with other objects in their path. In nature, birds, fish and insects can all congregate in swarms, each animal responding to its neighbour almost instantaneously to allow the swarm to fly or swim as a single unit. Drones can emulate this.
With reliable autonomy and collision avoidance, drones can begin to take on tasks too dangerous or remote for humans to carry out: checking electric power lines, for example, or delivering medical supplies in an emergency. Drone delivery machines will be able to find the best route to their destination, and take into account other flying vehicles and obstacles. In agriculture, autonomous drones can collect and process vast amounts of visual data from the air, allowing precise and efficient use of inputs such as fertilizer and irrigation.
In January 2014, Intel and Ascending Technologies showcased prototype multi-copter drones that could navigate an on-stage obstacle course and automatically avoid people who walked into their path. The machines use Intel’s RealSense camera module, which weighs just 8g and is less than 4mm thick. This level of collision avoidance will usher in a future of shared airspace, with many drones flying in proximity to humans and operating in and near the built environment to perform a multitude of tasks. Drones are essentially robots operating in three, rather than two, dimensions; advances in next-generation robotics technology will accelerate this trend.
Flying vehicles will never be risk-free, whether operated by humans or as intelligent machines. For widespread adoption, sense and avoid drones must be able to operate reliably in the most difficult conditions: at night, in blizzards or dust storms. Unlike our current digital mobile devices (which are actually immobile, since we have to carry them around), drones will be transformational as they are self-mobile and have the capacity of flying in the three-dimensional world that is beyond our direct human reach. Once ubiquitous, they will vastly expand our presence, productivity and human experience.
9. Neuromorphic technology
Computer chips that mimic the human brain
Even today’s best supercomputers cannot rival the sophistication of the human brain. Computers are linear, moving data back and forth between memory chips and a central processor over a high-speed backbone. The brain, on the other hand, is fully interconnected, with logic and memory intimately cross-linked at billions of times the density and diversity of that found in a modern computer. Neuromorphic chips aim to process information in a fundamentally different way from traditional hardware, mimicking the brain’s architecture to deliver a huge increase in a computer’s thinking and responding power.
Miniaturization has delivered massive increases in conventional computing power over the years, but the bottleneck of shifting data constantly between stored memory and central processors uses large amounts of energy and creates unwanted heat, limiting further improvements. In contrast, neuromorphic chips can be more energy efficient and powerful, combining data-storage and data-processing components into the same interconnected modules. In this sense, the system copies the networked neurons that, in their billions, make up the human brain.
Neuromorphic technology will be the next stage in powerful computing, enabling vastly more rapid processing of data and a better capacity for machine learning. IBM’s million-neuron TrueNorth chip, revealed in prototype in August 2014, has a power efficiency for certain tasks that is hundreds of times superior to a conventional CPU (Central Processing Unit), and more comparable for the first time to the human cortex. With vastly more compute power available for far less energy and volume, neuromorphic chips should allow more intelligent small-scale machines to drive the next stage in miniaturization and artificial intelligence.
Potential applications include: drones better able to process and respond to visual cues, much more powerful and intelligent cameras and smartphones, and data-crunching on a scale that may help unlock the secrets of financial markets or climate forecasting. Computers will be able to anticipate and learn, rather than merely respond in pre-programmed ways.
10. Digital genome
Healthcare for an age when your genetic code is on a USB stick
While the first sequencing of the 3.2 billion base pairs of DNA that make up the human genome took many years and cost tens of millions of dollars, today your genome can be sequenced and digitized in minutes and at the cost of only a few hundred dollars. The results can be delivered to your laptop on a USB stick and easily shared via the internet. This ability to rapidly and cheaply determine our individual unique genetic make-up promises a revolution in more personalized and effective healthcare.
Many of our most intractable health challenges, from heart disease to cancer, have a genetic component. Indeed, cancer is best described as a disease of the genome. With digitization, doctors will be able to make decisions about a patient’s cancer treatment informed by a tumour’s genetic make-up. This new knowledge is also making precision medicine a reality by enabling the development of highly targeted therapies that offer the potential for improved treatment outcomes, especially for patients battling cancer.
Like all personal information, a person’s digital genome will need to be safeguarded for privacy reasons. Personal genomic profiling has already raised challenges, with regard to how people respond to a clearer understanding of their risk of genetic disease, and how others – such as employers or insurance companies – might want to access and use the information. However, the benefits are likely to outweigh the risks, because individualized treatments and targeted therapies can be developed with the potential to be applied across all the many diseases that are driven or assisted by changes in DNA.
Technologies That Are The Future
Innovation is the introduction of something new. As we are in this progressing age, one can observe changes in the surroundings within seconds. To cater for this, technological advancements and new innovations with better features are the need of the hour. Futurists of the 1950s or so predicted that by 2000s, we will have flying cars and airborne robots. While the forecasters had their timing wrong, but their foresighted technology was right. Today we are at the brink of manufacturing self-driving cars and robot assistants.
Among these, another important innovation that will go mainstream is the ‘Voice Assistants’. In about four to five years, every home is expected to have a voice assistant like Amazon Echo or Apple Homepod. This is all thanks to the power of artificial intelligence that we are able to develop something like this. Voice assistants are making a vital change in markets all around the world and some scientists believe that in the near future, people will be communicating through voice rather than text. This will save time which can be used in completing other tasks.
Another emerging technology is the technique of ‘Reversing Paralysis’. Researchers have begun using brain-reading technology which helps the people with paralysis to move their limbs again. This is done by placing an electronic implant in the brain which is connected to electrical stimulators located on the body to create a ‘neural bypass’. Although the progress in implementing this technology is slow but this technology is also being tested for people with other diseases like arthritis. These innovations with new advances would allow patients to regain control of their bodies.
The wait for ‘Quantum Computers’ is ending soon. A computer that can accelerate pharmaceutical research, compute equations that are hard to fathom right now or rewrite encryptions. Quantum computers have more qubits, the basic unit of quantum information. Qubits need ideal conditions to function properly, but new technology reduces the computational capability needed to correct errors caused by physical intrusions. These computers will be in the commercial market for common use by anyone in a few years.
The next on list are the ‘Hot Solar Cells’. Solar panels are more efficient today than their previous versions, but they still absorb only a fraction of sunlight. To solve this problem, hot solar cells are introduced which convert the sunlight into heat and then back to light. So, what happens is an ‘absorber-emitter’ absorbs the sunlight then converts it to heat and funnels it to solar cells. This system could even allow energy to be stored for later use. This system could deliver continuous power even when the sun is not shining.
‘Botnets’ is the real game changer in the list. As we are living in the age of smart phones, laptops, internet, media, etc. we do not entirely realize the importance of cyberattacks. Botnets are centralized systems that gain control of internet connected devices to launch cyberattacks. The situation is getting worse day by day with so many devices that have little to no cybersecurity measures. Botnets can evade spam filters, create click fraud, and launch denial-of-service attacks. Once a botnet is spotted, its command and control center can be attacked and rendered ineffective. In the coming years, botnet trends favor the attacker, and more botnet attacks will be coming for internet users.
A world where genetic diseases like Huntington’s and cystic fibrosis are defeated is something, we all wish for. Well, thanks to ‘Crispr’, genetic diseases may be eliminated. CRISPR Cas-9 is an abbreviation for ‘Clustered Regularly Interspaced Short Palindromic Repeats’. It is a gene-splicing technology which is capable of finding and removing mutated sections of DNA. Once it is removed, crispr can replace the mutated ones with non-mutated variants. In conclusion, crispr has the ability to permanently remove certain types of genetic diseases from blood lines. It is already being used to eliminate cancer cells in some patients and may as well be able to cure genetically caused blindness as well in the near future.
Practice makes a man perfect but you never know the advancements in the technology might make the robots perfect too. ‘Reinforcement Learning’ is a new technique which helps artificial intelligence (AI) to solve problems it has never seen before. This concepts is connected with a large neural network which is trained to recognize patterns in data. The computer learns which information is correct and which is not and continuously improves itself. A computer using this technology can beat one of the best players in the world. Reinforcement learning might be moving towards its most vital tests soon with its use in self-driving cars and other technologies.
Another new technology in the market is the ‘Gene Therapy’. It is for hereditary diseases and is available in Europe market and will soon be launched in the United States. The success of these gene therapies increased phenomenally when scientists started to use viruses that are more efficient at transporting new genetic materials. Gene therapies can even treat the diseases which involve multiple genes. This kind of treatment might seem rare now but will be more common in the blink of an eye.
At one point last year, Bitcoin was worth more than $19,000 per coin but recently the value of cryptocurrency has decreased still a single coin is worth thousands of dollars. Cryptocurrency has stirred up controversy around the world but it is steadily becoming mainstream. Platforms like TrustToken and HybridBlock are poised to connect the global trading power of blockchains with real world assetd and are designed to give crypto enthusiasts greater access to silo trading markets which help to expand the industry to a new wave of crypto enthusiasts. As a result, sellers can make illiquid assets liquid, and buyers can have control of a vast portfolio of assets. By giving access to mobile friendly products like easy to use applications, these platforms are providing the market with a new form of crypto education and the tools to execute crypto trades.
Last but not the least on the list is the ‘Artificial Intelligence and Automation’. Some of the world’s most famous brands are majorly turning to automation in order to serve their customers better and become more affordable by reducing the costs. Big box retailers utilize automated warehouses to sort and ship products, while social media networks use automation to moderate comments and credit card companies use automation to detect fraud and theft. The implications here are massive because a new artificial intelligence economy incorporating the decentralized blockchain AI, can change the way businesses operate and run around the world.
Indeed, it is just a matter of time before everything goes to the market. We are moving to a time where everything is just a click away. New innovations are coming daily, changes are being made within minutes. In fact, as we speak, we might be unaware but there might be some company in the world working at this hour to bring a change to your smartphone but there is nothing we can do about it. We just have to hang in there and go with the flow.
What is a ‘vaccine passport’ and will you need one the next time you travel?
Is the idea of a vaccine passport entirely new?
The concept of a passport to allow for cross border travel is something that we’ve been working on with the Common Trust Network for many months. The focus has been first on diagnostics. That’s where we worked with an organization called “The Commons Project” to develop the “Common Trust Framework”. This is a set of registries of trusted data sources, a registry of labs accredited to run tests and a registry of up-to-date border crossing regulations.
The set of registries can be used to generate certificates of compliance to prevailing border-crossing regulations as defined by governments. There are different tools to generate the certificates, and the diversity of their authentication solutions and the way they protect data privacy is quite remarkable.
We at the Forum have no preference when it comes to who is running the certification algorithm, we simply want to promote a unique set of registries to avoid unnecessary replication efforts. This is where we support the Common Trust Framework. For instance, the Common Pass is one authentication solution – but there are others, for example developed by Abbott, AOK, SICPA (Certus), IBM and others.
How does the system work and how could it be applied to vaccines?
The Common Trust Network, supported by the Forum, is combining the set of registries that are going to enrol all participating labs. Separately from that, it provides an up-to-date database of all prevailing border entry rules (which fluctuate and differ from country to country).
Combining these two datasets provides a QR code that border entry authorities can trust. It doesn’t reveal any personal health data – it tells you about compliance of results versus border entry requirements for a particular country. So, if your border control rules say that you need to take a test of a certain nature within 72 hours prior to arrival, the tool will confirm whether the traveller has taken that corresponding test in a trusted laboratory, and the test was indeed performed less than three days prior to landing.
The purpose is to create a common good that many authentication providers can use and to provide anyone, in a very agnostic fashion, with access to those registries.
What is the WHO’s role?
There is currently an effort at the WHO to create standards that would process data on the types of vaccinations, how these are channelled into health and healthcare systems registries, the use cases – beyond the management of vaccination campaigns – include border control but also possibly in the future access to stadia or large events. By establishing in a truly ethical fashion harmonized standards, we can avoid a scenario whereby you create two classes of citizens – those who have been vaccinated and those who have not.
So rather than building a set of rules that would be left to the interpretation of member states or private-sector operators like cruises, airlines or conveners of gatherings, we support the WHO’s effort to create a standard for member states for requesting vaccinations and how it would permit the various kinds of use cases.
It is important that we rely on the normative body (the WHO) to create the vaccine credential requirements. The Forum is involved in the WHO taskforce to reflect on those standards and think about how they would be used. The WHO’s goal is to deploy standards and recommendations by mid-March 2021, and the hope is that they will be more harmonized between member states than they have been to date in the field of diagnostics.
What about the private sector and separate initiatives?
When registry frameworks are being developed for authentication tools providers, they should at a minimum feed as experiments into the standardization efforts being driven by WHO, knowing that the final guidance from the only normative body with an official UN mandate may in turn force those providers to revise their own frameworks. We certainly support this type of interaction, as public- and private-sector collaboration is key to overcoming the global challenge posed by COVID-19.
What more needs to be done to ensure equitable distribution of vaccines?
As the WHO has warned, vaccine nationalism – or a hoarding and “me-first” approach to vaccine deployment – risks leaving “the world’s poorest and most vulnerable at risk.”
COVAX, supported by the World Economic Forum, is coordinated by the World Health Organization in partnership with GAVI, the Vaccine Alliance; CEPI, the Centre for Epidemics Preparedness Innovations and others. So far, 190 economies have signed up.
The Access to COVID-19 Tools Accelerator (ACT-Accelerator) is another partnership, with universal access and equity at its core, that has been successfully promoting global collaboration to accelerate the development, production and equitable access to COVID-19 tests, treatments and vaccines. The World Economic Forum is a member of the ACT-Accelerator’s Facilitation Council (governing body).
Iran among five pioneers of nanotechnology
Prioritizing nanotechnology in Iran has led to this country’s steady placement among the five pioneers of the nanotechnology field in recent years, and approximately 20 percent of all articles provided by Iranian researchers in 2020 are relative to this area of technology.
Iran has been introduced as the 4th leading country in the world in the field of nanotechnology, publishing 11,546 scientific articles in 2020.
The country held a 6 percent share of the world’s total nanotechnology articles, according to StatNano’s monthly evaluation accomplished in WoS databases.
There are 227 companies in Iran registered in the WoS databases, manufacturing 419 products, mainly in the fields of construction, textile, medicine, home appliances, automotive, and food.
According to the data, 31 Iranian universities and research centers published more than 50 nano-articles in the last year.
In line with China’s trend in the past few years, this country is placed in the first stage with 78,000 nano-articles (more than 40 percent of all nano-articles in 2020), and the U.S. is at the next stage with 24,425 papers. These countries have published nearly half of the whole world’s nano-articles.
In the following, India with 9 percent, Iran with 6 percent, and South Korea and Germany with 5 percent are the other head publishers, respectively.
Almost 9 percent of the whole scientific publications of 2020, indexed in the Web of Science database, have been relevant to nanotechnology.
There have been 191,304 nano-articles indexed in WoS that had to have a 9 percent growth compared to last year. The mentioned articles are 8.8 percent of the whole produced papers in 2020.
Iran ranked 43rd among the 100 most vibrant clusters of science and technology (S&T) worldwide for the third consecutive year, according to the Global Innovation Index (GII) 2020 report.
The country experienced a three-level improvement compared to 2019.
Iran’s share of the world’s top scientific articles is 3 percent, Gholam Hossein Rahimi She’erbaf, the deputy science minister, has announced.
The country’s share in the whole publications worldwide is 2 percent, he noted, highlighting, for the first three consecutive years, Iran has been ranked first in terms of quantity and quality of articles among Islamic countries.
Sourena Sattari, vice president for science and technology has said that Iran is playing the leading role in the region in the fields of fintech, ICT, stem cell, aerospace, and is unrivaled in artificial intelligence.
From our partner Tehran Times
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A recent online survey by scholars at two Dutch universities of Iranian attitudes towards religion has revealed a stunning rejection...
The Mystery of China’s Internment Camps: Genocide of Uighurs
Human rights abuse is not an alien concept to the world, especially over the ghastly events posted through the two...
The mistakes of U.S. foreign policy
A few days ago, in a conversation with one of the former protagonists of U.S. foreign policy, in response to...
EU boosts sustainable cocoa production in Côte d’Ivoire, Ghana and Cameroon
The European Union will contribute €25 million to enhance the economic, social and environmental sustainability of cocoa production in Côte...
Iran’s Position on Karabakh War: Tehran Competes for the Hearts of Azerbaijanis
This article focuses on the Iranian official position on the latest escalations of Artsakh (Karabakh) war which started in the...
Sri Lanka: ‘Forced’ cremation of COVID victims’ bodies must stop
The Sri Lankan Government should end its policy of compulsorily cremating victims of COVID-19, independent UN human rights experts said on Monday. In a...
Pulwama attack: False Flag Operation?
On 14 February 2019, a terror attack killed 40 Indian soldiers at Pulwama, Jammu and Kashmir (IOK). The unfortunate incident...
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