In recent times stakeholders from various sectors have started becoming proactively involved in identifying ways to improve justice. However, issues that hampered this mission include a lack of good governance thereby hindering the institution of an efficient, fair, transparent, and accountable system.
These issues can only be rectified through continued effort, necessitating cooperation from all sides.
Thus, a recent article reported on how Open Data and AI Technology can play an important role in rectifying the issues prevalent in the Thai justice system.
The adoption of such technology by many governments and agencies has reinforced direct representative democracy since it allows democratic engagement and empowers people in new ways.
Recently, the Thailand Institute of Justice (TIJ) in collaboration with ChangeFusion and several partners held the 2nd Roundtable on Technology for Justice Series (Project j: jX Justice Experiment) under the topic “Open Data and AI for Participatory Justice”.
Open data is a set of machine-readable information that can be freely used, shared and built-on by anyone, anywhere. Artificial intelligence and machine learning tools can be used to find insights and anomalies within such open datasets. For instance, AI can be used to enhance, deepen and accelerate routine data analysis so people can be free to monitor suspicious contracts or payments in depth. This can increase the rate of corruption prosecutions.
The Executive Director of the Thailand Institute of Justice stated that good governance has a direct impact on law and order. It requires a climate of respect for the rule of law, the existence of check and balances, transparency and accountability. A reform of the justice system in this sense asks for measures to ensure efficient and transparent procedures are performed in line with ethical standards.
He noted that Open Data is a key part of this reform as it encourages citizens active participation, by allowing them to look into government data and oversight its procedures.
In Thailand, Open Data and AI are being used in several sectors. For example, in an AI-powered customer support platform analyses data through AI. The data is then made public and people can help monitor real-time incidents, share information and offer suggestions to the government.
Moreover, AI can prevent road accidents by detecting blind spots crossing statistic data from Department of Highways, volunteers and insurance companies. Similarly, the KiiD project creates an ecosystem where people share information and contribute to the economic development, health and safety of an Innovation District.
Other platforms include data.go.th, developed by the Digital Government Development Agency; AI police for women by Royal Thai Police, a project geared to protect vulnerable groups namely, women and children victims of family violence.
It is essential to appreciate how valuable accurate data collection and sharing is in order to maximise modern technology.
Data that is collected and shared has the potential enable governments to operate more effectively; it is government’s responsibility to make information – like information on procurement, budget disbursement, government expenditures including taxes and justice related information – accessible to the public.
The Director a Thai News Agency argued that when the public sector refuses to share information, it might have a hidden agenda or the interests of those in power are at stake.
On the other hand, Open Data and AI technologies have limitations including machine bias, privacy issues and a lack of human empathy and emotions.
However, as these tools become more sophisticated as time goes on and they have the potential to alleviate the bias and inefficiencies facing the justice system while improving fairness and safety.
The reform of a fair justice system is indeed a challenging undertaking which calls for all stakeholders’ cooperation. Thus, Thailand’s government needs a concerted effort on the part of key stakeholders – policymakers, venture capitalists, entrepreneurs, and researchers – to promote a culture that embraces innovation and leads to more effective, transparent and responsive civil services and criminal justice systems.
Caltech engineers collaborated with the University of Southampton in England to design an ultrahigh-speed data transfer chip. The chip integrates both an electronics chip and a photonics chip which uses light to transfer data. It took four years to complete, from the initial idea to the final test in the lab.
“As the world becomes increasingly connected, and every device generates more data, it is exciting to show that we can achieve such high data rates while burning a fraction of power compared to the traditional techniques. We had to optimise the entire system all at the same time, which enabled achieving a superior power efficiency,” said Azita Emami, the Andrew and Peggy Cherng Professor of Electrical Engineering and Medical Engineering, Executive Officer for Electrical Engineering and senior author of the paper.
The research paper is titled “A 100Gb/s PAM4 Optical Transmitter in A 3D-Integrated SiPh-CMOS Platform Using Segmented MOSCAP Modulators.” Rockley Photonics and the U.K. Engineering and Physical Sciences Research Council funded this research.
The need for high processing power and transmission creates the inevitable excess heat. Heat is the enemy of the speed and the amount of data a computer device can manage. It happens not just for personal computers or laptops but also for data centres.
While a laptop may heat up while when in use, servers in data centres also heat up as they work – but at a much grander scale. Therefore, managing heat in the data centre is essential. The less heat, the more computing power is generated and the greater the volume of information it can handle.
Hence, engineers tried to find a way to increase the processing speed while keeping the heat low. The solution was to design and co-optimise an electronics chip and a photonics chip. The chip is innovative because it integrates an electronic circuit essential for data processing, combined with a photonics chip which is the most efficient piece for data transmission.
The Caltech/Southampton integrated chip can transmit 100 gigabits of data per second! Moreover, the integrated chip generates minimal heat, producing just 2.4 pico-Joules per transmitted bit. The result increases the electro-optical power efficiency by 3.6 times compared to the current technology.
Handling Next-level Computing
In the future, data centres will manage very high volumes of data compared to today. The new design integrated chip will answer a continuous demand for increasing data communication speed in data centres and high-performance computers.
“As the computing power of the chips scale, the communication speed can become the bottleneck, especially under stringent energy constraints,” Emami explained.
The high-demand data transmission and processing from a data-demanding task, such as a video call, streaming a movie, or playing an online video game, need high processing power in the data centre.
“There are more than 2,700 data centres in the U.S. and more than 8,000 worldwide, with towers of servers stacked on top of each other to manage the load of thousands of terabytes of data going in and out every second,” says a Caltech graduate student Arian Hashemi Talkhooncheh (MS ’16), lead author of a paper describing the two-chip innovation that was published in the IEEE Journal of Solid-State Circuits.
Both in normal circumstances and in times of crisis, Thai people are known to generate a lot of innovative ideas and continue to develop products that make their lives better. This encompasses and encapsulates the nation’s most recent campaign, Innovation Thailand, which promotes Thai creativity to a global audience.
The Innovation Thailand Alliance consists of partners from a variety of sectors including government agencies, private organisations, educational institutions, and civil societies. Through it, the National Innovation Agency of Thailand (NIA), is expanding the scope of its Innovation Thailand platform.
The fundamental goal is to use national/local ideas to revitalise the nation by promoting awareness of and pride in inventive Thai works. Allies will serve as ambassadors in the effort to promote Thailand as an innovative nation. They will be able to exchange knowledge and skills with one another at the same time.
All stakeholders are enthusiastic to help Thailand achieve its goal of being one of the world’s top 30 innovative nations by 2030 and turning Thailand into an innovation-driven country.
Innovation Capabilities of Thai People
The National Innovation Agency’s mission is to support and develop Thailand’s innovation system to promote economic restructuring and competitive enhancement.
“We began the Innovation Thailand campaign before COVID-19 because we faced a significant challenge in terms of how not only Thai people but also global clients, perceive the nation’s unique products and services,” explains Dr Pun-Arj.
Even though this may not be directly related to innovation, the NIA has attempted to communicate and brand national innovation in such a way that it can be easily connected not only with Thais but also with international customers – this is how they started the Innovation Thailand platform.
Thailand is a tourist destination and one of the top three in the world, which has caused the country to innovate their lifestyle as well as their livelihood.
Thai culture places a high value on craftsmanship and attention to detail. Thai innovation for artful living is a process created exclusively by the fusion of modern technology and knowledge passed down from one generation to the next.
“We have created ingenious solutions through this method that enhances the standard of living in terms of society, prosperity, health, safety, and the environment,” Dr Pun-Arj furthers.
They began to construct a community to exchange ideas, develop, and manage innovation that would result in delivering some information or any significant strategic movement that the government could initiate.
They are recruiting more Chief Innovation Officers from not only the private sector but also the public sector and universities, as part of their primary target group.
Dr Pun-Arj is looking to enhance the opportunities brought in by innovation, particularly at the regional level in the city. This is because they are working not only on economic development but also on the skillset of the social innovation division and platform.
“As a result, our primary focus is on regionalisations of innovation possibilities, as well as startups – innovation-based firms,” reveals Dr Pun-Arj.
He believes that every successful community is built upon a robust and well-functioning infrastructure. Hence, Thailand’s industries and infrastructure will be modernised to meet upcoming challenges.
“In the past, one of our five-year priorities included buildings which we identify as system integrators. As the system and ecosystem become more robust, we are transitioning from system integrators to full core facilitators.”
He emphasised the need to consider the impact of being a system integrator before transforming themselves into focal facilitators. Furthermore, the country wants to make better use of the enormous resource of innovation in universities to conduct research and technology in collaboration with other organisations across the world.
Through the City Innovation Index, which focuses primarily on districts and cities, the NIA promotes and monitors the constant innovation and evaluation of diverse organisations. Periodically, they performed surveys in particular industries to evaluate and propose answers for the difficulties they face.
A strong innovation strategy will evaluate the overall objectives, the target portfolio for innovation initiatives, and the process for allocating the necessary resources. The portfolio clearly defines innovation-critical benchmarks and bounds. Therefore, the nation will become democratic and transparent.
“I believe the government’s most essential innovation strategy focuses on three specific concerns. You must have highly strong and capable businesses of all sizes that will establish a very strong enterprise on its own. And secondly, you must have laws and regulations,” Dr Pun-Arj asserts. “In addition, governance is also required and identifying future risks.”
Thailand is struggling with several issues, including inequality, which includes limited access to public services, digital technology, education, and environmental problems. High manufacturing costs and new types of competition in the global supply chain became challenges for Thailand, with this, innovation has emerged as the country’s answer.
Additionally, there are many challenges in terms of digital transformation and government service and the nation is pushing for innovation that can deliver a good policy and deploy it into practice.
In the previous five-year plan, NIA primarily focused on the job of system integrator into four core facilitators. “That is why the short-term strategy is to train management in the methods, programmes, and activities that we have implemented over the last five years.”
NIA is primarily concentrated on strengthening the potential of regional innovation in several key sectors such as new technologies, assistance for startups, venture capital creation or investment for innovation, and internationalisation of Thailand’s innovation.
Dr Pun-Arj envisions a stronger Thai economy and society, with innovation playing a key role in propelling it. The Bio-Circular-Green Economy (BCG) model is a plan for the country’s growth and post-pandemic recovery. The BCG model focuses on four strategic sectors: agriculture and food, wellness and medicine, energy, materials, and biochemicals and tourism and creative economy.
It emphasises using science, technology, and innovation to turn Thailand’s comparative advantage in biological and cultural diversity into a competitive advantage. The primary aim is to support the sustainability of biological resources, develop local economies and communities and make Thai BCG industries more competitive and resilient to societal changes.
The approach is meant to make Thailand’s economy, society, and environment more sustainable and inclusive. “To achieve the 2030 goal, we must work incredibly hard to encourage innovation in this BCG economy. At the same time, the national policy needs to be improved.”
Dr Pun-Arj has been recognised as a pioneer in the domains of foresight and innovation management in the country. He counsels anyone aspiring to be a great innovator to fully comprehend the concepts of uncertainty and failure.
“Innovation will help us grow as a community or nation by making ourselves and others aware of the importance of innovation,” Dr Pun-Arj concludes.
The Indian Space Research Organisation’s (ISRO) Polar Satellite Launch Vehicle (PSLV) has launched nine satellites, including eight nanosatellites, into space from the first launch pad at the Satish Dhawan Space Centre in Andhra Pradesh.
The 44-metre-long rocket’s primary payload is the Earth Observation Satellite-6 (EOS-6) or Oceansat-3, a third-generation satellite to monitor oceans. It is a follow up to OceanSat-1 or IRS-P4 and OceanSat-2 launched in 1999 and 2009, respectively. Oceansat-3 will provide data about ocean colour, sea surface temperature, and wind vector data for oceanography, climatology, and meteorological applications.
The Oceansat-3 was placed in the polar orbit at a height of about 740 kilometres above sea level. While it weighs approximately 1,100 kilogrammes, which is only slightly heavier than Oceansat-1, for the first time in this series, it houses three ocean observing sensors. These include an Ocean Colour Monitor (OCM-3), Sea Surface Temperature Monitor (SSTM), and Ku-Band scatterometer (SCAT-3). There is also an ARGOS payload, a press release mentioned.
The OCM-3, with a high signal-to-noise ratio, is expected to improve accuracy in the daily monitoring of phytoplankton. This has a wide range of operational and research applications including fishery resource management, ocean carbon uptake, harmful algal bloom alerts, and climate studies. The SSTM will provide ocean surface temperature, which is a critical ocean parameter to provide various forecasts ranging from fish aggregation to cyclone genesis and movement. Temperature is a key parameter required to monitor the health of the coral reefs, and if needed, to provide coral bleaching alerts. The Ku-Band Pencil beam scatterometre will provide a high-resolution wind vector (speed and direction) at the ocean surface, which will be useful for seafarers, including fishermen and shipping companies. Data regarding temperature and wind is also particularly important for ocean and weather models to improve their forecast accuracies.
ARGOS is a communication payload jointly developed with France and it is used for low-power (energy-efficient) communications including marine robotic floats (Argo floats), fish-tags, drifters, and distress alert devices valuable in search and rescue operations.
The Minister of State (Independent Charge) for Science and Technology, Jitendra Singh, stated that ISRO will continue to maintain the orbit of the satellite and its standard procedures for data reception and archiving. Major operational users of this satellite include Ministry of Earth Sciences (MoEs) institutions such as the Indian National Centre for Ocean Information Services (INCOIS) and the National Centre for Medium Range Weather Forecasting (NCMRWF).
INCOIS has also established a state-of-the-art satellite data reception ground station within its campus with technical support from the National Remote Sensing Centre (ISRO-NRSC). Singh asserted that ocean observations such as this will serve as a solid foundation for India’s blue economy and polar region policies. A representative from MoES noted that the launch of Oceansat-3 is significant as it is the first major ocean satellite launch from India since the initiation of the UN Decade of Ocean Science for Sustainable Development (UNDOSSD, 2021-2030).
The Indian Space Research Organisation is the national space agency of India, headquartered in Bengaluru. It operates under the Department of Space, which is overseen by the country’s Prime Minister.
Astronomers from the California Institute of Technology (Caltech) have completely automated the classification of 1,000 supernovae using a machine-learning (ML) algorithm. The Zwicky Transient Facility, or ZTF, a sky survey instrument located at Caltech’s Palomar Observatory, collected data that the algorithm was then used to analyse.
“We needed a helping hand, and we knew that once we trained our computers to do the job, they would take a big load off our backs,” says Christoffer Fremling, a staff astronomer at Caltech and the mastermind behind the new algorithm tagged as SNIascore.
A year and a half after SNIascore classified its first supernova in April 2021, they are approaching the pleasant milestone of 1,000 supernovae. Every night, ZTF scans the night sky for alterations known as transient events. This covers everything, from asteroids in motion to recently devoured stars by black holes to exploding stars known as supernovae.
ZTF notifies astronomers worldwide of these transient events by sending out hundreds of thousands of alerts each night. Other telescopes are then used by astronomers to monitor and learn more about the nature of the shifting objects. Thousands of supernovae have so far been found thanks to ZTF data.
Members of the ZTF team cannot organise all the data on their own due to the constant flow of data that comes in every night. According to Matthew Graham, project scientist for ZTF and research professor of astronomy at Caltech, “the traditional notion of an astronomer sitting at the observatory and sieving through telescope images carries a lot of romanticism but is drifting away from reality.”
Instead, to help with the searches, the team has created ML algorithms. SNIascore was created to categorise potential supernovae. There are two main categories of supernovae: Type I and Type II. In contrast to Type II supernovae, Type I supernovae are devoid of hydrogen.
When material from a companion star flows onto a white dwarf star, causing a thermonuclear explosion, a Type I supernova is produced. When a massive star collapses due to its own gravity, a Type II supernova happens. Type Ia supernovae, or the “standard candles” in the sky, can be classified by SNIascore. These are dying stars that explode with a steady-state thermonuclear blast.
Astronomers can gauge the universe’s expansion rate thanks to Type Ia supernovae. Fremling and colleagues are currently expanding the algorithm’s capabilities to classify additional types of supernovae soon.
Every night, after ZTF has recorded sky flashes that may be supernovae, it sends the data to the SEDM spectrograph at Palomar, which is in a dome a short distance away (Spectral Energy Distribution Machine).
To determine which supernovae are likely Type Ias, SNIascore collaborates with SEDM. As a result, the ZTF team is working quickly to compile a more trustworthy data set of supernovae that will allow astronomers to conduct additional research and, ultimately, learn more about the physics of the potent stellar explosions.
“SNIascore is incredibly precise. We have observed the performance of the algorithm in the real world after 1,000 supernovae” says Fremling. Since the initial launch in April 2021, they have found no clearly misclassified events, and they are now planning to implement the same algorithm with other observing facilities.
According to Ashish Mahabal, who oversees ZTF’s machine learning initiatives and is the centre’s lead computational and data scientist at Caltech, their work demonstrates how ML applications are maturing in near real-time astronomy.
The SNIascore was created as part of the ZTF’s Bright Transient Survey (BTS), which is currently the most comprehensive supernova survey available to the astronomical community. The entire BTS dataset contains nearly 7000 supernovae, 90 per cent of which were discovered and classified by ZTF while the remaining 10 per cent were contributed by other groups and facilities.
The Vietnam Information Security Association (VNISA) surveyed 135 organisations and enterprises in Vietnam on ensuring information security. One out of every four organisations and businesses have had their systems interrupted or attacked in 2022, while 76% of organisations and businesses lack sufficient staff for information security.
The information was revealed by former Deputy Minister of the Ministry of Information and Communications (MIC), Nguyen Thanh Hung, who is chair of VNISA, during a plenary session at an international workshop during the Vietnam 2022 Information Security Day.
The survey found that 58% of organisations have doubts about technology and 47% about security holes. Around 68% of organisations and businesses said they still don’t have enough money to invest in information security annually. At the workshop, Tran Dang Khoa, the Deputy Head of the Authority of Information Security, said that in the last 11 months, the agency has recognised, warned, and instructed companies on how to handle 11,212 cyberattacks. The number of information systems in accordance with the new levels accounts for 54.8%. One of the key tasks of the agency in 2023 is submitting information to the Prime Minister for the issuance of a directive on legal compliance and security.
The workshop was sponsored by MIC and organised by VNISA and MIC and addressed “safe” digital transformation. MIC’s Deputy Minister, Nguyen Huy Dung, stated that ensuring safety in cyberspace is the task of all agencies, units, and people. Dung stressed that digital transformation is a national long-term programme. It means bringing people’s and businesses’ activities into a digital environment. It is necessary to protect more than 3,000 information systems of the state’s agencies, as well as activities in cyberspace of nearly one million businesses, five million business households, 26 million households, and 100 million people.
Dung noted that ensuring safe cyberspace and safety for organisations and people in cyberspace is the responsibility of all agencies, organisations, and people, with the principle ‘like cyberspace, like the real world’. The agencies in charge of certain fields in real life will also be in charge of those fields in the virtual environment, he said.
In October, Prime Minister Pham Minh Chinh issued Directive No. 18/CT-TTg on accelerating the implementation of activities to respond to cybersecurity incidents in Vietnam. The directive states that the government will pay more attention to reviewing, detecting, and fixing vulnerabilities and weaknesses. It will proactively monitor and detect any network information insecurity risks to promptly handle incidents. It will strictly implement regulations on reporting online information security incidents.
As OpenGov Asia reported, the directive describes cybersecurity as an important, cross-cutting pillar in the creation of digital trust. Its promotion will protect the country’s prosperous development in the digital era as the country attempts comprehensive national digital transformation. Chinh urged stakeholders to thoroughly grasp the contents of the Directive and devise measures to address and timely handle cybersecurity incidents. Stakeholders include ministers and heads of ministerial-level agencies, among others.
Aquaculture is important to the Thai economy. To ensure the long-term growth of this important industry, it is necessary to strengthen the production system by increasing farmers’ sustainable farming capacity and implementing Aquaculture 4.0.
To help with this effort, the nation’s National Electronics and Computer Technology Centre under the National Science and Technology Development Agency (NECTEC-NSTDA) created Aqua-IoT, an IoT-based monitoring system for water’s physical, chemical, and biological qualities.
Dr Supanit Porntheeraphat, Principal Researcher of the NECTEC Digital Agriculture Technology Research Team, explained that the project to develop a digital aquaculture system began at NECTEC in 2010 at the height of disease outbreaks that severely harmed Thailand’s aquaculture industry and the overall economy. The system has been constantly developed and improved since then.
The integration of key data – physical, chemical, and biological water qualities, as well as weather – into a single dashboard allows users to understand the relationship between the data, analyse the data, and make informed decisions.
Dr Supanit added that Aqua-IoT is made up of four major systems: the Water and Weather Monitoring System, the MuEye System, the ChemEye System, and the Minimal Lab System. The first system measures water quality (temperature, pH, and dissolved oxygen) as well as weather (wind speed and direction, light intensity, and rainfall).
These variables are critical for aeration and feed management. The MuEye System is intended to track the growth of aquatic animals and parasites, whereas the ChemEye is a chemical reader that measures the levels of nitrite, ammonia, chlorine, phosphate, and pH in the pond.
Minimal Lab is a probiotic application management system that monitors bacteria growth. The system is also integrated with BIOTEC-NSTDA disease diagnostic tests for shrimp and fish, with test results automatically sent to an online database that users can access via a web browser and a message application.
Aqua-IoT technology has already been licenced to businesses, allowing the devices to be sold commercially. Its advantages include energy and feed cost savings, as well as disease risk reduction. On the first crop, a return on investment can be expected.
The research team began introducing Aqua-IoT to aquaculture farmers in the eastern region in 2020. Working closely with farmers, according to Dr Supanit, allows researchers to better understand their requirements and needs, which leads to the development of other technologies to support aquaculture farming.
An automatic shrimp counting machine for managing pond density and a lift net machine that automatically measures shrimp density for feed and water quality management are two technologies under development.
Udon Songserm, the owner of Wasin Farm in Rayong Province, shared his Aqua-IoT experience. He clearly sees the benefits of cost, time, and labour savings after having the system installed in one of his ponds. He no longer needs to be on-site all the time to keep an eye on his ponds.
Dissolved oxygen data enables him to activate aerators only when needed, rather than always having the machines on, significantly reducing energy costs. Data on water’s chemical and biological properties prompt him to take appropriate actions to avoid losses caused by toxic conditions and disease outbreaks.
Udon also stated that some of the data collected from this pond, such as temperature, can be applied to other ponds in the area. The temperature has a direct effect on dissolved oxygen and can thus be used to manage aeration.
The NSTDA is tasked with accelerating science, technology, and innovation development in Thailand to respond to industry needs and improve the country’s competitiveness in the global economy, thereby contributing to national economic and social development. NSTDA is made up of five national research centres and two organisations involved in technology transfer and business development and promotion including the NECTEC.
The Victoria University of Wellington’s division of Science, Health, Engineering, Architecture, and Design Innovation (SHEADI) will inaugurate a Centre of Data Science and Artificial Intelligence in the first half of 2023.
According to a statement from the University, the centre will offer areas of expertise in modelling and statistical learning; evolutionary and multi-objective learning; deep learning and transfer learning; image, text, signal, and language processing; scheduling and combinational optimisation; and interpretable AI/ML learning.
These technological themes will be applied across a wide range of areas including primary industry, climate change and environment; health, biology, medical outcomes; security, energy, high-value manufacturing; and social, public policy, and ethics applications. On top of traditional research, the centre will also establish a pipeline of scholarships/internships for Maori students, train early career researchers, and focus on industry, intellectual property, and commercialisation.
The centre will build on the current success and international leadership in this space at the University, the Pro Vice-Chancellor of the division, Ehsan Mesbahi, stated. The institute is continuing to grow its national and international partnerships to create local and global value. The centre will provide a distinctive identity for the growing excellence and innovation in data science and AI research at the University, capabilities which domestic and global partners are increasingly demanding across a vast array of application domains.
In May, the University announced it would offer the first undergraduate major in Artificial Intelligence in the country. It provides students with knowledge of AI concepts, techniques, and tools. They learn how to apply that knowledge to solve problems, combined with programming skills that will enable them to build software tools incorporating AI technology that will help shape the future.
Students studying AI at the University are taught by academics from its internationally renowned AI/ML research group, which is one of the largest in the southern hemisphere. The major is designed to open doors for graduates to opportunities nationally and around the world. There has been an increase in the adoption of AI technologies globally, and a growing demand for people who can apply AI techniques to address a wide range of problems, which the University aims to address.
After completing their degree, graduates will have a wide variety of career options, such as AI scientist, business consultant, AI architect, data analyst, machine learning engineer, and robotic scientist among others. They will also have the option to further their study through the University’s Master of Artificial Intelligence.
OpenGov Asia reported earlier that New Zealand’s Education Technology (EdTech) is set to become one of the country’s key industries. Worth NZ$ 173.6 million in 2020, EdTech software is poised to grow to NZ$ 319.6 million by 2025. At the heart of the digital transformation of education technology has been the pandemic. COVID-19 is seen as the driving force behind the digital transformation of learning, permanently changing the way education is consumed and delivered — right from preschool through post-tertiary education and lifelong learning. The global EdTech market size was valued at US$ 254.8 billion in 2021. Experts believe the market will reach US$ 605.4 billion by 2027.