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The Artificial Intelligence Race: U.S. China and Russia

Ecatarina Garcia

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Artificial intelligence (AI), a subset of machine learning, has the potential to drastically impact a nation’s national security in various ways. Coined as the next space race, the race for AI dominance is both intense and necessary for nations to remain primary in an evolving global environment. As technology develops so does the amount of virtual information and the ability to operate at optimal levels when taking advantage of this data. Furthermore, the proper use and implementation of AI can facilitate a nation in the achievement of information, economic, and military superiority – all ingredients to maintaining a prominent place on the global stage. According to Paul Scharre, “AI today is a very powerful technology. Many people compare it to a new industrial revolution in its capacity to change things. It is poised to change not only the way we think about productivity but also elements of national power.”AI is not only the future for economic and commercial power, but also has various military applications with regard to national security for each and every aspiring global power.

While the U.S. is the birthplace of AI, other states have taken a serious approach to research and development considering the potential global gains. Three of the world’s biggest players, U.S., Russia, and China, are entrenched in non-kinetic battle to out-pace the other in AI development and implementation. Moreover, due to the considerable advantages artificial intelligence can provide it is now a race between these players to master AI and integrate this capability into military applications in order to assert power and influence globally. As AI becomes more ubiquitous, it is no longer a next-generation design of science fiction. Its potential to provide strategic advantage is clear. Thus, to capitalize on this potential strategic advantage, the U.S. is seeking to develop a deliberate strategy to position itself as the permanent top-tier of AI implementation.

Problem

The current AI reality is near-peer competitors are leading or closing the gap with the U.S. Of note, Allen and Husain indicate the problem is exacerbated by a lack of AI in the national agenda, diminishing funds for science and technology funding, and the public availability of AI research. The U.S. has enjoyed a technological edge that, at times, enabled military superiority against near-peers. However, there is argument that the U.S. is losing grasp of that advantage. As Flournoy and Lyons indicate, China and Russia are investing massively in research and development efforts to produce technologies and capabilities “specifically designed to blunt U.S. strengths and exploit U.S. vulnerabilities.”

The technological capabilities once unique to the U.S. are now proliferated across both nation-states and other non-state actors. As Allen and Chan indicate, “initially, technological progress will deliver the greatest advantages to large, well-funded, and technologically sophisticated militaries. As prices fall, states with budget-constrained and less technologically-advanced militaries will adopt the technology, as will non-state actors.” As an example, the American use of unmanned aerial vehicles in Iraq and Afghanistan provided a technological advantage in the battle space. But as prices for this technology drop, non-state actors like the Islamic State is making noteworthy use of remotely-controlled aerial drones in its military operations. While the aforementioned is part of the issue, more concerning is the fact that the Department of Defense (DoD) and U.S. defense industry are no longer the epicenter for the development of next-generation advancements. Rather, the most innovative development is occurring more with private commercial companies. Unlike China and Russia, the U.S. government cannot completely direct the activities of industry for purely governmental/military purposes. This has certainly been a major factor in closing the gap in the AI race.

Furthermore, the U.S. is falling short to China in the quantity of studies produced regarding AI, deep-learning, and big data. For example, the number of AI-related papers submitted to the International Joint Conferences on Artificial Intelligence (IJCAI) in 2017 indicated China totaled a majority 37 percent, whereas the U.S. took third position at only 18 percent. While quantity is not everything (U.S. researchers were awarded the most awards at IJCAI 2017, for example), China’s industry innovations were formally marked as “astonishing.”For these reasons, there are various strategic challenges the U.S. must seek to overcome to maintain its lead in the AI race.

Perspectives

Each of the three nations have taken divergent perspectives on how to approach and define this problem. However, one common theme among them is the understanding of AI’s importance as an instrument of international competitiveness as well as a matter of national security. Sadler writes, “failure to adapt and lead in this new reality risks the U.S. ability to effectively respond and control the future battlefield.” However, the U.S. can longer “spend its way ahead of these challenges.” The U.S. has developed what is termed the third offset, which Louth and Taylor defined as a policy shift that is a radical strategy to reform the way the U.S. delivers defense capabilities to meet the perceived challenges of a fundamentally changed threat environment. The continuous development and improvement of AI requires a comprehensive plan and partnership with industry and academia. To cage this issue two DOD-directed studies, the Defense Science Board Summer Study on Autonomy and the Long-Range Research and Development Planning Program, highlighted five critical areas for improvement: (1) autonomous deep-learning systems,(2) human-machine collaboration, (3) assisted human operations, (4) advanced human-machine combat teaming, and (5) network-enabled semi-autonomous weapons.

Similar to the U.S., Russian leadership has stated the importance of AI on the modern battlefield. Russian President Vladimir Putin commented, “Whoever becomes the leader in this sphere (AI) will become the ruler of the world.” Not merely rhetoric, Russia’s Chief of General Staff, General Valery Gerasimov, also predicted “a future battlefield populated with learning machines.” As a result of the Russian-Georgian war, Russia developed a comprehensive military modernization plan. Of note, a main staple in the 2008 modernization plan was the development of autonomous military technology and weapon systems. According to Renz, “The achievements of the 2008 modernization program have been well-documented and were demonstrated during the conflicts in Ukraine and Syria.”

China, understanding the global impact of this issue, has dedicated research, money, and education to a comprehensive state-sponsored plan.  China’s State Council published a document in July of 2017 entitled, “New Generation Artificial Intelligence Development Plan.” It laid out a plan that takes a top-down approach to explicitly mapout the nation’s development of AI, including goals reaching all the way to 2030.  Chinese leadership also highlights this priority as they indicate the necessity for AI development:

AI has become a new focus of international competition. AI is a strategic technology that will lead in the future; the world’s major developed countries are taking the development of AI as a major strategy to enhance national competitiveness and protect national security; intensifying the introduction of plans and strategies for this core technology, top talent, standards and regulations, etc.; and trying to seize the initiative in the new round of international science and technology competition. (China’s State Council 2017).

The plan addresses everything from building basic AI theory to partnerships with industry to fostering educational programs and building an AI-savvy society.

Recommendations

Recommendations to foster the U.S.’s AI advancement include focusing efforts on further proliferating Science, Technology, Engineering and Math (STEM)programs to develop the next generation of developers. This is similar to China’s AI development plan which calls to “accelerate the training and gathering of high-end AI talent.” This lofty goal creates sub-steps, one of which is to construct an AI academic discipline. While there are STEM programs in the U.S., according to the U.S. Department of Education, “The United States is falling behind internationally, ranking 29th in math and 22nd in science among industrialized nations.” To maintain the top position in AI, the U.S. must continue to develop and attract the top engineers and scientists. This requires both a deliberate plan for academic programs as well as funding and incentives to develop and maintain these programs across U.S. institutions. Perhaps most importantly, the United States needs to figure out a strategy to entice more top American students to invest their time and attention to this proposed new discipline. Chinese and Russian students easily outpace American students in this area, especially in terms of pure numbers.

Additionally, the U.S. must research and capitalize on the dual-use capabilities of AI. Leading companies such as Google and IBM have made enormous headway in the development of algorithms and machine-learning. The Department of Defense should levy these commercial advances to determine relevant defense applications. However, part of this partnership with industry must also consider the inherent national security risks that AI development can present, thus introducing a regulatory role for commercial AI development. Thus, the role of the U.S. government with AI industry cannot be merely as a consumer, but also as a regulatory agent. The dangerous risk, of course, is this effort to honor the principles of ethical and transparent development will not be mirrored in the competitor nations of Russia and China.

Due to the population of China and lax data protection laws, the U.S. has to develop innovative ways to overcome this challenge in terms of machine-learning and artificial intelligence. China’s large population creates a larger pool of people to develop as engineers as well as generates a massive volume of data to glean from its internet users. Part of this solution is investment. A White House report on AI indicated, “the entire U.S. government spent roughly $1.1 billion on unclassified AI research and development in 2015, while annual U.S. government spending on mathematics and computer science R&D is $3 billion.” If the U.S. government considers AI an instrument of national security, then it requires financial backing comparable to other fifth-generation weapon systems. Furthermore, innovative programs such as the DOD’s Project Maven must become a mainstay.

Project Maven, a pilot program implemented in April 2017, was mandated to produce algorithms to combat big data and provide machine-learning to eliminate the manual human burden of watching full-motion video feeds. The project was expected to provide algorithms to the battlefield by December of 2018 and required partnership with four unnamed startup companies. The U.S. must implement more programs like this that incite partnership with industry to develop or re-design current technology for military applications. To maintain its technological advantage far into the future the U.S. must facilitate expansive STEM programs, seek to capitalize on the dual-use of some AI technologies, provide fiscal support for AI research and development, and implement expansive, innovative partnership programs between industry and the defense sector. Unfortunately, at the moment, all of these aspects are being engaged and invested in only partially. Meanwhile, countries like Russia and China seem to be more successful in developing their own versions, unencumbered by ‘obstacles’ like democracy, the rule of law, and the unfettered free-market competition. The AI Race is upon us. And the future seems to be a wild one indeed.

References

Allen, Greg, and Taniel Chan. “Artificial Intelligence and National Security.” Publication. Belfer Center for Science and International Affairs, Harvard University. July 2017. Accessed April 9, 2018. https://www.belfercenter.org/sites/default/files/files/publication/AI%20NatSec%20-%20final.pdf

Allen, John R., and Amir Husain. “The Next Space Race is Artificial Intelligence.” Foreign Policy. November 03, 2017. Accessed April 09, 2018. http://foreignpolicy.com/2017/11/03/the-next-space-race-is-artificial-intelligence-and-america-is-losing-to-china/.

China. State Council. Council Notice on the Issuance of the Next Generation Artificial Intelligence Development Plan. July 20, 2017. Translated by RogierCreemers, Graham Webster, Paul, Paul Triolo and Elsa Kania.

Doubleday, Justin. 2017. “Project Maven’ Sending First FMV Algorithms to Warfighters in December.” Inside the Pentagon’s Inside the Army 29 (44). Accessed April 1, 2018.https://search-proquest-com.ezproxy2.apus.edu/docview/1960494552?accountid=8289.

Flournoy, Michèle A., and Robert P. Lyons. “Sustaining and Enhancing the US Military’s Technology Edge.” Strategic Studies Quarterly 10, no. 2 (2016): 3-13. Accessed April 12, 2018. http://www.jstor.org/stable/26271502.

Gams, Matjaz. 2017. “Editor-in-chief’s Introduction to the Special Issue on “Superintelligence”, AI and an Overview of IJCAI 2017.” Accessed April 14, 2018. Informatica 41 (4): 383-386.

Louth, John, and Trevor Taylor. 2016. “The US Third Offset Strategy.” RUSI Journal 161 (3): 66-71. DOI: 10.1080/03071847.2016.1193360.

Sadler, Brent D. 2016. “Fast Followers, Learning Machines, and the Third Offset Strategy.” JFQ: Joint Force Quarterly no. 83: 13-18. Accessed April 13, 2018. Academic Search Premier, EBSCOhost.

Scharre, Paul, and SSQ. “Highlighting Artificial Intelligence: An Interview with Paul Scharre Director, Technology and National Security Program Center for a New American Security Conducted 26 September 2017.” Strategic Studies Quarterly 11, no. 4 (2017): 15-22. Accessed April 10, 2018.http://www.jstor.org/stable/26271632.

“Science, Technology, Engineering and Math: Education for Global Leadership.” Science, Technology, Engineering and Math: Education for Global Leadership. U.S. Department of Education. Accessed April 15, 2018. https://www.ed.gov/stem.

Ecatarina Garcia is an Instructor in the Air Force’s Intelligence Officer Course where she instructs initial skills training on topics such as Signals Intelligence, Cyber, Human Intelligence, Surveillance and Reconnaissance (ISR) foundations and applied ISR to the Air Force’s newest Intelligence Officer students. She has been a Network Fusion Analyst for the Air Force for 13 years and has supported various operations concerning Iraq, Afghanistan, Syria, Yemen, and Russia. She is currently a doctoral student in the American Military University’s inaugural Global Security and Strategic Intelligence doctoral program.

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Geopolitics of 5G and the South Caucasus

Emil Avdaliani

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The age of 5G internet is coming to the South Caucasus. However, as the US-China geopolitical divide looms ever larger, the region enters the global competition where competing visions for 5G’s deployment could hamper the deployment of the new technologies. As a result, Georgia will edge closer to the US, Armenia – to Russia-China telecoms, while Azerbaijan will try to navigate between the two extremes.

A global competition is unfolding between China and the US. So far it has involved economic struggle and some aspects of naval rivalry. A new dimension needs to be addes – technological competition. This is reflected in the race which is underway to deploy next generation 5G mobile networks. In contrast to 3G and 4G (LTE – Long-Term Evolution), where China was largely relegated to the sidelines in the standards-setting process, now it has been heavily involved in the standards process for 5G—a sign of Beijing’s growing ambitions and global influence. 5G will be both quantitatively and qualitatively different from what has come before. For instance, as opposed to the hardware that drives traditional data networks, 5G networks’ primary functions will be software-based.

5G will be fundamentally different from its predecessor, 4G. Initially, vastly higher speeds will not be noticeable as it is likely that 5G will be used by network operators just to boost capacity on existing 4G networks and ensure a consistent service for customers. Ultimately, the speed capacity you get will be contingent upon the spectrum band the operator runs the 5G technology on and how much your carrier has invested in new masts and transmitters.

5G is also groundbreaking as it will usher in an extensive use of artificial intelligence (AI) to manage the network. Its ramifications are wide range: from military to civil spheres. And China has gained a significant advantage as it successfully moves toward commercial-scale deployment of its domestic 5G network in 2020. Consider the following example, in 2019 China’s Huawei signed an agreement with Russian telecoms on development on 5G networks in Russia.

According to some calculations, a full-scale introduction of 5G networks will take more than a decade. The process will be a complex one and the pace of its deployment across Eurasia and specifically in the South Caucasus will depend on a range of different factors such as carrier preferences, government regulatory policies, public and national security concerns, geopolitical alignments and costs of 5G infrastructure itself.

The development of 5G is taking place at the time as the world is becoming divided along economic and increasingly technological lines. The US builds its own bloc where Chinese technologies will have no major role. The same could be said about China. In this bifurcated world, small and techno-economically vulnerable states, which wish to gain access to the advanced technologies, will face tough choices which 5G network technologies to adopt. Small states across Eurasia are likely to face an increasing pressure from the US and its allies to abstain from using China’s 5G model, while Beijing will cushion its 5G offer in large financial benefits (investments, inclusion into the Belt and Road Initiative (BRI) etc.). Moreover, for small and relatively poor states Chinese technologies are more affordable than any Western competitors.

This brings us to the South Caucasus, which over the past several years has been gradually transformed into the frontline region between the US and China. Armenia, Azerbaijan and Georgia need 5G to boost their economic performance and relative technological backwardness. 

In Armenia’s case, with its booming IT sector, China’s low cost 5G provides a good opportunity to keep apace in the technologically developing world. Since Viva-MTS, a leading mobile operator in Armenia, belongs to the Russian MTS, which in turn partners with Huawei, Armenia is well placed to become one of the first states in the region to successfully deploy 5G technologies. Indeed, work has already begun, as the head of the department of technological development and resource management of telecommunications management of the Public Services Regulatory Commission of Armenia Armen Hunanyan said in one of his statements. 

Armenia is thus more likely to find itself in the middle of the US-China rivalry compared to Georgia or Azerbaijan. The latter two do not have similar Russian (by extension Chinese) influence in telecommunications. In fact, Baku made an interesting move in December 2019 when Ericsson and Azerbaijani communications service provider Azercell signed a three-year 5G Memorandum of Understanding (MoU) for the joint deployment of 5G projects. As a reminder, Ericsson is one of four companies in the world possessing enough technological prowess to supply the components necessary for building a 5G network. It is notable that US companies are absent from this hi-tech race.

For Georgia 5G will provide a much faster data download and upload speeds as well as much wider coverage from across the globe. With a chance of reaching 1Gbps, as opposed to presently provided 45Mbps, internet operations speed will be about 10-20 times faster. It could also help the country correct its overall technological underdevelopment in the provinces. The Georgian National Communications Commission announced that the introduction of 5G internet in Georgia will begin in 2020, but the pandemic and a general economic slowdown might change the deployment schedule. All in all, presently the telecom company Magti is arguably best poised to become a leader in the emerging industry.

Georgia also hopes that 5G technologies be applied to boost the country’s defence and security capabilities, especially in the light of the ongoing military troubles with Russia. Faster information flow will be crucial for developing more efficient defence capabilities along occupation lines near Abkhazia and the Tskhinvali region, where Tbilisi faces creeping occupation of lands and an endless string of kidnappings. However, the deployment of 5G might also bear risks as militarily developed states will be better positioned to use the 5G technologies to collect sensitive security and defence information from Georgia’s vital state sectors. On that front, deeper cooperation with US security services and the military sector will be crucial. However, there is a much larger problem Georgia, along with Armenia and Azerbaijan, could face due to the deployment of China-produced 5G. As the US-China divide grows and Washington is increasingly worried that Beijing might use this superiority for military and economic purposes incompatible with Western security practices, US pressure on South Caucasus states is likely to ramp up. Georgia will be under particular scrutiny as it positions itself as an ally of the US in the region and simultaneously seeks closer economic relations with China. In the long run Tbilisi may face the dilemma of having to choose between Washington’s support and the use of China’s technological advancements. 

With Armenia and Azerbaijan, it will be different to a varying degree. Security-wise Armenia is more related to Russia and its telecoms, Azerbaijan not so much. Moreover, as both are not openly aspiring to join Western political or military organizations, harsh US pressure on Yerevan and Baku might be less expected than in the case of Georgia. Still, a certain push from the US for a China-free 5G alternative will follow. It could hamper 5G deployment in the South Caucasus, the development which would once again indicate how global geopolitics is shaping the timing and level of the use of China’s or China-free 5G technologies.

Author’s note: first published in Caucasus Watch

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Global transmission and control of Covid-19

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COVID-19 spreads mainly by droplets produced as a result of coughing or sneezing of a COVID-19 infected person. This can happen in two ways: One can get the infection by being in close contact with COVID-19 patients (within one Metre of the infected person), especially if they do not cover their face when coughing or sneezing. And secondly, the droplets survive on surfaces and clothes for many days. Therefore, touching any such infected surface or cloth and then touching one’s mouth, nose or eyes can transmit the disease. The most important factor in preventing the spread of the Virus locally is to empower the citizens with the right information and taking precautions as per the advisories being issued by Ministry of Health & Family Welfare. Preventive methods of COVID -19 include: Wash your hands often; Wear a face mask; Avoid contact with sick people; Always cover your mouth while sneezing and coughing. Several precautionary measures have to be taken in order to contain the virus because the risk of transmission will certainly increase with the lifting of the lockdown. We must recognise that this virus is going to stay on for some time and we have to make sure that at least for the next one year, we try and keep the virus as slowly moving as possible by physical distancing and other protective measures like masks and handwashing.

Transmission of the virus

We all know that COVID-19 spreads from others who have the virus. A person catches the virus through droplets expelled when someone infected with coronavirus coughs, sneezes or speaks. But, what happens in case of asymptomatic COVID-19 patients? Can they spread the virus? The World Health Organization, in a recently released video, answers similar questions related to COVID-19 transmission. In the context, Dr. Maria van Kerkhove, COVID-19 technical lead, says that the majority of transmission that is known till now is that people who have symptoms transmit the virus to other people through infectious droplets. “But, there are a subset of people of don’t develop symptoms. We still don’t have the answer to understand how many people don’t have symptoms,

Concept of Asymptomatic or Pre-symptomatic

Asymptomatic COVID-19 positive means a person has been tested positive but has no symptoms, and does not go on to develop symptoms, says Dr Kerkhove in the video. “A number of people are reported asymptomatic, actually may have mild disease. They may go on to develop symptoms. They may not quite register that they are sick. They can feel just a little bit unwell or under the weather, or fatigued. Some of those individuals we would classify as pre-symptomatic,”  Pre-symptomatic COVID-19 positive means that a person has not yet developed symptoms. Here we need to better understand what proportion is that contributing to transmission. This is one of the major unknowns. Explaining how asymptomatic people can spread the virus, Dr. Mike Ryan, EXD, WHO Health Emergencies Programme says, “For instance, if someone is in a nightclub, trying to talk to someone, and its too noisy, and you are too close to them, it’s like you are projecting your voice at someone. In this situation, if the virus is present your upper respiratory mucosa, then there’s every likelihood that you can project the virus.”Many people with COVID-19 experience only mild symptoms, especially in early stages of the disease. “It is possible to catch COVID-19 from someone who has just a mild cough and does not feel ill. Some reports have indicated that people with no symptoms can transmit the virus.

The current status

In terms of pandemic generation, we are still very much on the upward climb on this mountain, Dr. Ryan adds. “As some countries have shown, if you go at this with a comprehensive approach in a very systematic way, then there is enough stop ability for the virus.”.He also added  that as a society, we have some choices to make. If we can identify cases and their contacts, and we ask those contacts to quarantine themselves, we support them in that quarantine, then that can be a very successful way of both stopping the disease and avoiding large-scale lockdowns in future. Because, if one looks at the spread to people without history of travel or history of contact, certainly there are several such cases, he said. “But most of them are concentrated around the original points of entry of the foreign traveler’s or the travel routes of their contacts. So, these people who are describing it as stage 2 still are saying this is traceable local transmission, it is not unpredictable community transmission.

Therefore, we are avoiding the term community transmission. It is a matter of definitions and language; we need not debate that really. But  it should be recognised that community transmission has occurred in virtually every country which experienced this pandemic in a major form and India should also be prepared for it and act as though it is happening and take all precautionary containment measures. There is not only risk but actually threat of community transmission. According to him, nations in South East Asia, including Malaysia, and India in particular, have kept the COVID-19 death rates per million of the population low compared to countries where the pandemic broke out around the same time. The low death rate in India could be the benefit of multiple factors such as younger age group, more rural population, temperature and climatic conditions as well as the benefits the containment measures which preceded lockdown, and then got much more consolidated with the lockdown. Its quite possible that all of these factors have been helpful and we have seen that benefit. But we need to continue to consolidate that. There are some risk factors, when the lockdown opens there will be much greater mobility of people, there could be more widespread transmission of the virus, so we have to maintain as much as possible physical distancing, continue practices like wearing masks and hand-washing as precautionary measures.

However, these  are going to be difficult in overcrowded areas, especially slum areas. We will have to try and provide as much facilities as possible, particularly for elderly people and to people with co-morbidities, whether they can be provided temporary shelters elsewhere with good social cares. Fortunately, most of the infections are restricted to large cities and areas radiating around them. Referring to return of migrant workers,  care must be taken to see that they themselves will not be victims of the epidemic, and at the same they don’t infect others. But most important thing is to protect the rural areas (from COVID-19) because two-thirds of India is in rural areas, and the transmission of the virus is low there because mobility is low. Evolutionary biology of the virus says that when the movement is greatly restricted and its chances of transmission are greatly reduced, the virus actually can turn into a milder virus.

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Entrepreneur hoping to make electric motorbikes a staple of Thailand’s streets

MD Staff

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Thai entrepreneur Soranun “Earth” Choochut, the founder ETRAN. Photo by ETRAN

Bangkok has an extensive public transit network, but its maze of small side streets—sois—means that a destination is often a hike from a transit stop. In a city of extreme temperatures and monsoon rains, even a short walk in the middle of the day can be very uncomfortable.

The solution for many living in Thailand’s capital are gas-powered mototaxis. This single-passenger mode of transportation can turn a sweaty 20-minute walk into a two-minute ride.

For Soranun “Earth” Choochut, founder and CEO of ETRAN, a sustainable mobility startup, navigating sois can be done just as well with electric vehicles. That’s why ETRAN has developed two models of electric bike, one designed for passengers and one a compact sport bike.

“We want to create a new age of public transportation that’s sustainable, clean and able to improve the quality of people’s lives in cities,” says Choochut.

The over 20 million motorbikes and scooters that whiz around Thailand’s streets and sois produce upwards of 18 million tonnes of greenhouse gases every year. Switching to electric would reduce that to “zero”, says Choochut.

ETRAN’s passenger bike not only provides cleaner transport, it is also helping address gender inequality. It is easy for a man, who is typically wearing pants or shorts, to hop on the back of a mototaxi. Women wearing skirts are forced to ride side-saddle, a more dangerous position. Without an internal combustion engine, ETRAN was able to slide the seat forward and leave a gap in the middle of its PROM model, allowing for a forward-facing sitting position for the passenger no matter the attire.

ETRAN also aims to reduce as much as possible its carbon footprint and plastic consumption.

Choochut’s efforts have received plaudits from the design world, winning the Red Dot design award twice. His environmental ambitions were awarded as well. He was one of the 2020 winners of the United Nations Environment Programme’s Asia Pacific Low Carbon Lifestyles Challenge.

With 3,000 units sold, ambitions to scale to 10,000 over the next two years, and partnerships with the likes of PTT Group and Bosch, Choochut wants to make sustainable transport a Thai economic success story.

“ETRAN can be the aspiration for others that proves that Thailand can invent something and scale like other countries and create passion and movement among entrepreneurs to create something bigger than themselves,” says Choochut.

UN Environment

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