Thirteen early career scientists from across the Asia-Pacific who are revolutionizing healthcare technology have been named finalists for the 2018 APEC Science Prize for Innovation, Research and Education.
From new preventative treatments to enhanced threat detection to rapid recovery solutions, the cross-border research breakthroughs developed by these innovators under 40 years of age were recognized in accordance with this year’s ASPIRE Prize theme: Smart Technologies for Healthy Societies.
The winner will be announced by science and technology officials and industry representatives from the APEC Policy Partnership on Science, Innovation and Technology when they convene in Port Moresby in August. The winner will also receive USD 25,000 in prize money sponsored by Wiley and Elsevier, publishers of scholarly scientific knowledge.
Meet the 2018 ASPIRE Prize Finalists:
Dr Madhu Bhaskaran
Associate Professor, RMIT University, Melbourne, Australia
Field of research: Electronic materials engineering
Dr Bhaskaran’s work transforms the way we imagine, use and interact with electronic devices and sensors. She has developed ways to combine functional oxide materials processed at high temperatures with elastic and plastic materials. Her work has led to the development of wearable elastic electronics and sensors including gas and UV sensors and flat optical devices—all of which are stretchable, optically transparent and as thin as a nicotine patch. An example of an application includes the development of devices to detect amount of exposure to UV rays which contribute to skin cancer.
Dr Daniel Fuller
Assistant Professor and Canada Research Chair in Population Physical Activity, Memorial University of Newfoundland
Field of research: Human kinetics and public health
Dr Fuller’s research involves designing healthier cities by using mobile health technologies like wearable devices, mobile phones, machine learning and geographic information science to increase physical activity. He works closely with cities and local community organizations to evaluate the impact of existing interventions such as bicycle share programs, bridge construction and snow clearing on physical activity.
Dr Pablo González Muñoz
Assistant Professor, Pontificia Universidad Catolica De Chile
Field of research: Host-pathogen interactions, human viruses, immunology, microbiology and immune evasion
Dr González studies the virus herpes simplex-2 (HSV-2), a virus that currently affects about 500 million people for which a vaccine is not available. Dr González has worked with at least five human pathogens. Through his research, he has developed a fast, affordable and easy-to-use diagnostic kit to detect viral infections for different tissues that can be used in rural areas.
Dr Liu Guanghui
Professor, Institute of Biophysics, Chinese Academy of Sciences
Field of research: Stem cells and healthy aging
Dr Liu researches aging, organ and tissue homeostasis, and aging-associated diseases. Through his work, he has discovered therapeutic interventions to allow for the “healthy aging” of human stem cells. Dr Liu’s work continues to enhance the study and treatment of disorders related to aging.
Dr Chairul Hudaya
Assistant Professor, University of Indonesia
Field of research: Electrical power and energy materials
Dr Hudaya researches affordable smart energy storage technology for healthy societies, especially those living in remote and isolated areas. His two main projects include: 1) a portable energy storage device used with an infant incubator, serving premature infants; and 2) a smart monitoring system installed in a laptop enabling nurses to communicate in remote, off-grid areas.
Dr Choongik Kim
Associate Professor, Sogang University
Field of research: Wearable/flexible electronics, organic/polymeric materials, semiconductors
Dr Kim researches and develops novel electric materials for use in wearable devices, including activity monitoring bracelets, smart watches and GPS enabled shoes. In 2007, as published in Science, he was the first to expand upon the relationship between electric materials and electronic device performance. Dr Kim’s research is used to develop the core technology for new wearable technologies, leading to more real-time applications that can support meaningful improvements in health outcomes.
Dr Siti Hamidah Mohd Setapar
Associate Professor, Universiti Teknologi Malaysia
Field of research: Micellar nanotechnology, extraction of national products, product development from natural ingredients, cosmetic formulation and separation processes
Dr Mohd Setapar’s research focuses on micellar nanotechnology, a cutting-edge technology used in skincare and cosmetics to improve the effectiveness of the skin cleansing process and enhance the absorption capacity of cosmetic ingredients into the skin. She has commercialized a range of cosmetic and skincare products through her university spin-off company. Dr Mohd Setapar’s mission is to empower Malaysian women with safer, high-quality cosmetic products and to make available high-value cosmetics combining micellar nanotechnology with local natural extracts at lower prices.
Dr Mario Antonio Jiz II
Research Institute for Tropical Medicine
Field of research: Immunology
Dr Jiz researches schistosomiasis, a disease caused by parasitic worms that is second only to malaria as the most devastating parasitic disease. Dr Jiz develops vaccines for schistosomiasis and has patented a large scale production of a solution for the body to induce immunity against the disease.
Dr Vladislav Voitenkov
Ministry of Economic Development of the Russian Federation
Field of research: Clinical neurophysiology, infections of the nervous system, encephalitis, meningitis, myelitis and inflammatory polyneuropathy (Guillain-Barré syndrome)
Dr Voitenkov’s work focuses on understanding neurology and functional diagnostics, especially in the aging process. He studies the rare disease, inflammatory polyneuropathy (Guillain-Barré syndrome), where the body’s immune system attacks your nerves, paralyzing a person’s entire body.
Dr Daniel Shu Wei Ting
Assistant Professor, Duke-NUS Medical School, NUS
Field of research: Artificial intelligence using deep learning in screening for diabetes eye screening
Dr Daniel Shu Wei Ting’s work focuses on screening techniques for diabetic retinopathy, an eye disease for people with diabetes, which can lead to loss of vision. He has led a large research team in building the world’s first artificial intelligence system using deep learning to detect three potentially blinding conditions.
Dr Ming-Kai Pan
Physician Principle Investigator, NTUH
Field of research: Neurology—movement disorders
Dr Pan specializes in human physiology and mouse models of neurological disorders. His work is focused on discovering novel ways to measure brain physiology for movements which have implications for Parkinson’s disease, essential tremors and cerebellar ataxic disorders. Dr Pan has also invented smart technology to identify the most common movement disorders affecting 20 per cent of the elderly population.
Dr Wanpracha Art Chaovalitwongse
Professor, University of Arkansas, Fayetteville
Field of research: Data analytics, machine learning, artificial intelligence, health informatics, medical imaging analysis and medical decision making
Dr Chaovalitwongse’s research focuses on data analytics in medical and healthcare applications, especially in analyzing brain activity to predict and monitor epilepsy. Through his work, he has developed solutions for problems caused by attention deficit/hyperactivity disorder, Alzheimer’s disease, Parkinson’s disease, non-small cell lung cancer, sarcoma and esophageal cancer.
Dr Kara Spiller
Assistant Professor, Drexel University
Field of research: Biomedical engineering
Dr Spiller focuses her research on the design of “smart” biomaterials that can control the behavior of immune cells to promote tissue repair and wound healing. She has developed a point-of-care diagnostic to tailor optimal treatment for patients based on the state of their immune system according to factors such as age, genetics and nutrition.
From nanotechnology to solar power: Solutions to drought
While the drought has intensified in Iran and the country is facing water stress, various solutions from the use of solar power plants to the expansion of watershed management and nanotechnology are offered by experts and officials.
Iran is located in an arid and semi-arid region, and Iranians have long sought to make the most of water.
In recent years, the drought has intensified making water resources fragile and it can be said that we have reached water bankruptcy in Iran.
However, water stress will continue this fall (September 23-December 21), and the season is expected to be relatively hot and short of rain, according to Ahad Vazifeh, head of the national center for drought and crisis management.
In such a situation, officials and experts propose various solutions for optimal water management.
Alireza Qazizadeh, a water and environment expert, referring to 80 percent of the arid regions in the country, said that “Iran has one percent of the earth’s area and receives only 36 percent of renewable resources.
The country receives 250 mm of rainfall annually, which is about 400 billion cubic meters, considering 70 percent evaporation, there is only 130 billion cubic meters of renewable water and 13 billion cubic meters of input from border waters.”
Referring to 800 ml of average rainfall and 700 mm of global evaporation, he noted that 70 percent of rainfall in Iran occurs in only 25 percent of the country and only 25 percent rains in irrigation seasons.
Pointing to the need for 113 billion cubic meters of water in the current year (began on March 21), he stated that “of this amount, 102 billion is projected for agricultural use, 7 percent for drinking and 2 percent for industry, and at this point water stress occurs.
In 2001, 5.5 billion cubic meters of underground resources were withdrawn annually, and if we consider this amount as 20 years from that year until now, it means that we have withdrawn an equivalent of one year of water consumption from non-renewable resources, which is alarming.”
The use of unconventional water sources can be effective in controlling drought, such as rainwater or river runoff, desalinated water, municipal wastewater that can be reused by treatment, he concluded.
Rasoul Sarraf, the Faculty of Materials at Shahid Modarres University, suggests a different solution and states that “To solve ease water stress, we have no choice but to use nanotechnology and solar power plants.
Pointing to the sun as the main condition for solar power plant, and while pointing to 300 sunny days in the country, he said that at the Paris Convention, Iran was required to reduce emissions by 4 percent definitively and 8 percent conditionally, which will only be achieved by using solar power plants.
Hamidreza Zakizadeh, deputy director of watershed management at Tehran’s Department of Natural Resources and Watershed Management, believes that watershed management can at least reduce the effects of drought by managing floods and extracting water for farmers.
Amir Abbas Ahmadi, head of habitats and regional affairs of Tehran Department of Environment, also referring to the severe drought in Tehran, pointed to the need to develop a comprehensive plan for water management and said that it is necessary to cooperate with several responsible bodies and develop a comprehensive plan to control the situation.
He also emphasizes the need to control migration to the capital, construction, and the implementation of the Comprehensive Plan of Tehran city.
While various solutions are proposed by officials and experts to manage water and deal with drought, it is necessary for the related organizations to work together to manage the current situation.
Mohammad Reza Espahbod, an expert in groundwater resources, also suggested that while the country is dealing with severe drought due to improper withdrawal of groundwater and low rainfall, karst water resources can supply the whole water needed by the country, only if managed.
Iran is the fifth country in the world in terms of karst water resources, he stated.
Qanats can also come efficient to contain water scarcity due to relatively low cost, low evaporation rates, and not requiring technical knowledge, moreover, they proved sustainable being used in perpetuity without posing any damages to the environment.
According to the Ministry of Energy, about 36,300 qanats have been identified in Iran, which has been saturated with water for over 2,000 years.
In recent years, 3,800 qanats have been rehabilitated through watershed and aquifer management, and people who had migrated due to water scarcity have returned to their homes.
Water resources shrinking
Renewable water resources have decreased by 30 percent over the last four decades, while Iran’s population has increased by about 2.5 times, Qasem Taqizadeh, deputy minister of energy, said in June.
The current water year (started on September 23, 2020) has received the lowest rain in the past 52 years, so climate change and Iran’s arid region should become a common belief at all levels, he lamented.
A recent report by Nature Scientific Journal on Iran’s water crisis indicates that from 2002 to 2015, over 74 billion cubic meters have been extracted from aquifers, which is unprecedented and its revival takes thousands of years along with urgent action.
Three Iranian scientists studied 30 basins in the country and realized that the rate of aquifer depletion over a 14-year period has been about 74 billion cubic meters, which is recently published in Nature Scientific Journal.
Also, over-harvesting in 77 percent of Iran has led to more land subsidence and soil salinity. Research and statistics show that the average overdraft from the country’s aquifers was about 5.2 billion cubic meters per year.
Mohammad Darvish, head of the environment group in the UNESCO Chair on Social Health, has said that the situation of groundwater resources is worrisome.
From our partner Tehran Times
Technology and crime: A never-ending cat-and-mouse game
Is technology a good or bad thing? It depends on who you ask, as it is more about the way technology is used. Afterall, technology can be used by criminals but can also be used to catch criminals, creating a fascinating cat-and-mouse game.
Countless ways technology can be used for evil
The first spear was used to improve hunting and to defend from attacking beasts. However, it was also soon used against other humans; nuclear power is used to produce energy, but it was also used to annihilate whole cities. Looking at today’s news, we’ve learned that cryptocurrencies could be (and are) used as the preferred form of payments of ransomware since they provide an anonymous, reliable, and fast payment method for cybercriminals.
Similarly, secure phones are providing criminal rings with a fast and easy way to coordinate their rogue activities. The list could go on. Ultimately, all technological advancements can be used for good or evil. Indeed, technology is not inherently bad or good, it is its usage that makes the difference. After all, spears served well in preventing the extinction of humankind, nuclear power is used to generate energy, cryptocurrency is a promise to democratize finance, and mobile phones are the device of choice of billions of people daily (you too are probably reading this piece on a mobile).
However, what is new with respect to the past (recent and distant) is that technology is nowadays much more widespread, pervasive, and easier to manipulate than it was some time ago. Indeed, not all of us are experts in nuclear material, or willing and capable of effectively throwing a spear at someone else. But each of us is surrounded by, and uses, technology, with a sizeable part of users also capable of modifying that technology to better serve their purposes (think of computer scientists, programmers, coding kids – technology democratization).
This huge reservoir of people that are capable of using technology in a way that is different from what it was devised for, is not made of just ethical hackers: there can be black hats as well (that is, technology experts supporting evil usages of such technology). In technical terms, the attack vector and the security perimeter have dramatically expanded, leading to a scenario where technology can be easily exploited for rogue purposes by large cohorts of people that can attack some of the many assets that are nowadays vulnerable – the cybersecurity domain provides the best example for the depicted scenario.
Fast-paced innovation and unprecedented threats
What is more, is that technology developments will not stop. On the contrary, we are experiencing an exponentially fast pace in technology innovation, that resolves in less time between technology innovations cycles that, while improving our way of living, also pave the way for novel, unprecedented threats to materialize. For instance, the advent of quantum computers will make the majority of current encryption and digital signature methods useless and what was encrypted and signed in the past, exposed.
The tension between legitimate and illegitimate usages of technology is also heating up. For instance, there are discussions in the US and the EU about the need for the provider of ICT services to grant the decryption keys of future novel secure applications to law enforcement agencies should the need arise –a debatable measure.
However, technology is the very weapon we need to fight crime. Think of the use of Terahertz technology to discover the smuggling of drugs and explosives – the very same technology Qatar has successfully employed. Or the infiltration of mobile phone crime rings by law enforcement operators via high tech, ethical hacking (as it was the case for the EncroChat operation). And even if crime has shown the capability to infiltrate any sector of society, such as sports, where money can be laundered over digital networks and matches can be rigged and coordinated via chats, technology can help spot the anomalies of money transfer, and data science can spot anomalies in matches, and can therefore thwart such a crime – a recent United Nations-sponsored event, participated by the International Centre for Sport Security (ICSS) Qatar and the College of Science and Engineering (CSE) at Hamad Bin Khalifa University (HBKU) discussed the cited topic. In the end, the very same technology that is used by criminals is also used to fight crime itself.
Don’t get left behind
In the above-depicted cybersecurity cat-and-mouse game, the loser is the party that does not update its tools, does not plan, and does not evolve.
In particular, cybersecurity can help a country such as Qatar over two strategic dimensions: to better prevent/detect/react to the criminal usage of technology, as well as to advance robustly toward a knowledge-based economy and reinforce the country’s presence in the segment of high value-added services and products to fight crime.
In this context, a safe bet is to invest in education, for both governments and private citizens. On the one hand, only an educated workforce would be able to conceptualize/design/implement advanced cybersecurity tools and frameworks, as well as strategically frame the fight against crime. On the other hand, the same well-educated workforce will be able to spur innovation, create start-ups, produce novel high-skill products, and diversify the economy.
In this context, Qatar enjoys a head start, thanks to its huge investment in education over the last 20 years. In particular, at HBKU – part of Qatar Foundation – where we have been educating future generations.
CSE engages and leads in research disciplines of national and global importance. The college’s speciality divisions are firmly committed to excellence in graduate teaching and training of highly qualified students with entrepreneurial capacity.
For instance, the MS in Cybersecurity offered by CSE touches on the foundations of cryptocurrencies, while the PhD in Computer Science and Engineering, offering several majors (including cybersecurity), prepares future high-level decision-makers, researchers, and entrepreneurs in the ICT domain – the leaders who will be driving the digitalization of the economy and leading the techno-fight against crime.
Enhancing poverty measurement through big data
Authors: Jasmina Ernst and Ruhimat Soerakoesoemah*
Ending poverty in all its forms is the first of the 17 Sustainable Development Goals (SDGs). While significant progress to reduce poverty had been made at the global and regional levels by 2019, the Covid-19 pandemic has partly reversed this trend. A significant share of the population in South-East Asia still lacks access to basic needs such as health services, proper nutrition and housing, causing many children to suffer from malnutrition and treatable illnesses.
Delivering on the commitments of the 2030 Agenda for Sustainable Development and leaving no one behind requires monitoring of the SDG implementation trends. At the country level, national statistics offices (NSOs) are generally responsible for SDG data collection and reporting, using traditional data sources such as surveys, census and administrative data. However, as the availability of data for almost half of the SDG indicators (105 of 231) in South-East Asia is insufficient, NSOs are exploring alternative sources and methods, such as big data and machine learning, to address the data gaps. Currently, earth observation and mobile phone data receive most attention in the domain of poverty reporting. Both data sources can significantly reduce the cost of reporting, as the data collection is less time and resource intensive than for conventional data.
The NSOs of Thailand and the Philippines, with support from the Asian Development Bank, conducted a feasibility study on the use of earth observation data to predict poverty levels. In the study, an algorithm, convolutional neural nets, was pretrained on an ImageNet database to detect simple low-level features in images such as lines or curves. Following a transfer learning technique, the algorithm was then trained to predict the intensity of night lights from features in corresponding daytime satellite images. Afterwards income-based poverty levels were estimated using the same features that were found to predict night light intensity combined with nationwide survey data, register-based data, and geospatial information. The resulting machine learning models yielded an accuracy of up to 94 per cent in predicting the poverty categories of satellite images. Despite promising study results, scaling up the models and integrating big data and machine learning for poverty statistics and SDG reporting still face many challenges. Thus, NSOs need support to train their staff, gain continuous access to new datasets and expand their digital infrastructure.
Some support is available to NSOs for big data integration. The UN Committee of Experts on Big Data and Data Science for Official Statistics (UN-CEBD) oversees several task teams, including the UN Global Platform which has launched a cloud-service ecosystem to facilitate international collaboration with respect to big data. Two additional task teams focus on Big Data for the SDGs and Earth Observation data, providing technical guidance and trainings to NSOs. At the regional level, the weekly ESCAP Stats Café series provides a knowledge sharing platform for experiences related to the impact of COVID-19 on national statistical systems. The Stats Café includes multiple sessions dedicated to the use of alternative data sources for official statistics and the SDGs. Additionally, ESCAP has published policy briefs on the region’s practices in using non-traditional data sources for official statistics.
Mobile phone data can also be used to understand socioeconomic conditions in the absence of traditional statistics and to provide greater granularity and frequency for existing estimates. Call detail records coupled with airtime credit purchases, for instance, could be used to infer economic density, wealth or poverty levels, and to measure food consumption. An example can be found in poverty estimates for Vanuatu based on education, household characteristics and expenditure. These were generated by Pulse Lab Jakarta – a joint innovation facility associated with UN Global Pulse and the government of Indonesia.
Access to mobile phone data, however, remains a challenge. It requires long negotiations with mobile network operators, finding the most suitable data access model, ensuring data privacy and security, training the NSO staff and securing dedicated resources. The UN-CEBD – through the Task Team on Mobile Phone Data and ESCAP – supports NSOs in accessing and using mobile phone data through workshops, guides and the sharing of country experiences. BPS Statistics Indonesia, the Indonesian NSO, is exploring this data source for reporting on four SDG indicators and has been leading the regional efforts in South-East Asia. While several other NSOs in Asia and the Pacific can access mobile phone data or are negotiating access with mobile network operators, none of them have integrated it into poverty reporting.
As the interest and experience in the use of mobile phone data, satellite imagery and other alternative data sources for SDGs is growing among many South-East Asian NSOs, so is the need for training and capacity-building. Continuous knowledge exchange and collaboration is the best long-term strategy for NSOs and government agencies to track and alleviate poverty, and to measure the other 16 SDGs.
*Ruhimat Soerakoesoemah, Head, Sub-Regional Office for South-East Asia
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