Trends Identified

Systems Metabolic Engineering
Trace the products we buy and use every day—from plastics and fabrics to cosmetics and fuels—back to their origins, and you’ll find that the vast majority were made using stuff that came from deep underground. The factories that make the products of modern life do so, by and large, out of chemicals of various kinds. And those chemicals come from plants powered primarily by fossil fuels that transform feedstocks—also mainly petrochemicals—into myriad other compounds. It would be much better for the climate, and possibly better for the global economy as well, to make many of the chemical inputs to industry from living organisms instead of from oil, gas, and coal. We already use agricultural products in this way, of course—we wear cotton clothes and live in wooden houses—but plants are not the only source of ingredients. Microbes arguably offer even more potential, in the long term, to make inexpensive materials in the incredible variety of properties that we now take for granted. Rather than digging the raw materials of modern life from the ground, we can instead “brew” them in giant bioreactors filled with living microorganisms. For bio-based chemical production to really take off, it must compete with conventional chemical production on both price and performance. This goal now seems within reach, thanks to advances in systems metabolic engineering, a discipline that tweaks the biochemistry of microbes so that more of their energy and resources go into synthesizing useful chemical products. Sometimes the tweaks involve changing the genetic makeup of the organism, and sometimes it involves more complex engineering of microbial metabolism and brewing conditions as a system. With recent advances in synthetic biology, systems biology, and evolutionary engineering, metabolic engineers are now able to create biological systems that manufacture chemicals that are hard to produce by conventional means (and thus expensive). In one recent successful demonstration, microbes were customized to make PLGA [poly(lactate-co-glycolate)], an implantable, biodegradable polymer used in surgical sutures, implants, and prosthetics, as well as in drug delivery materials for cancer and infections. Systems metabolic engineering has also been used to create strains of yeast that make opioids for pain treatment. These drugs are widely needed in the world, and in particular in the developing world, where pain is insufficiently managed today. The range of chemicals that can be made using metabolic engineering is widening every year. Although the technique is not likely to replicate all of the products currently made from petrochemicals, it is likely to yield novel chemicals that could never be made affordably from fossil fuels—in particular, complex organic compounds that currently are very expensive because they must be extracted from plants or animals that make them in only tiny amounts. Unlike fossil fuels, chemicals made from microbes are indefinitely renewable and emit relatively little greenhouse gas—indeed, some could potentially even serve to reverse the flow of carbon from Earth to atmosphere by absorbing carbon dioxide or methane and incorporating it into products that are eventually buried as solid waste. As biochemical production scales up to large industrial use, it will be important to avoid both competing with food production for land use and also accidental releases of engineered microorganisms into the environment. Although these highly engineered microbes will likely be at a great disadvantage in the wild, it’s best to keep them safely in their tanks, happily working away at making useful stuff for the benefit of humanity and the environment.
2016
Top 10 Emerging Technologies of 2016
World Economic Forum (WEF)
Big Data-based Fraud Detection and Prevention Technology
(Definition) Technology for detection, prevention and post management of misconduct and abnormal transactions through pattern recognition, which collects and analyzes various big data with other statistical techniques. (Application) Bank fraud prevention technology using electronic financial transaction related big data; and prevention of misconduct associated with government institutions, such as unlawful receipt of subsidy, tax evasion, corruption in procurement, and unjust claims.
2016
KISTEP 10 Emerging Technologies 2016
South Korea, Korea Institute of S&T Evaluation and Planning (KISTEP)
Security Technology for Online/Mobile Financial Transaction
(Definition) Financial transaction technology to ensure both user convenience and secure transaction from internet and mobile based platforms with high customer access. (Application) Development of financial instruments and promotion of consumption with big data; fostering simple payment processes with diverse authentication techniques; construction of systems to support safe processing and management of mobile financial transaction information; and development of new financial transaction services to secure the transparency and safety of transaction details.
2016
KISTEP 10 Emerging Technologies 2016
South Korea, Korea Institute of S&T Evaluation and Planning (KISTEP)
IoT Security (IoT: Internet of Things)
(Definition) Technology that fosters a safe IoT environment by preventing and managing diverse types of infringement and security threats to IoT devices, networks, and the service platform of IoT(Application) Management of malware and hacking of IoT devices; safe data communication between IoT devices and anomaly detection; authentication/privacy protection and security solutions suitable for IoT service environments
2016
KISTEP 10 Emerging Technologies 2016
South Korea, Korea Institute of S&T Evaluation and Planning (KISTEP)
IoE Technology (IoE: Information of Everything)
(Definition) Technology for processing raw data generated (collected) through IoT, producing useful, high value-added information, and providing users with convenient service. (Application) Services such as health care, smart home, smart grid, and intelligent transportation system (ITS) through IoT; mashup services combining various web-based smart devices; and on-demand knowledge/information producing service to meet user needs.
2016
KISTEP 10 Emerging Technologies 2016
South Korea, Korea Institute of S&T Evaluation and Planning (KISTEP)
Digital Assistant based on Deep Learning
(Definition) Technology that enables computers to run cognition-based tasks for humans and assist in decision-making and improving work efficiency by learning huge amounts of related data.(Application) Tasks through information search and preliminary analysis for personal tasks and decision making; effective scheduling and errand running; utilization in various areas including private secretary work, effective work direction/supervision, automation process of manufacturing business, and education.
2016
KISTEP 10 Emerging Technologies 2016
South Korea, Korea Institute of S&T Evaluation and Planning (KISTEP)
Virtual Reality Technology for Leisure
(Definition) Technology that enables users to experience diverse leisure activities without the limitations of time and space by recreating a virtual environment and circumstances similar to reality based on ICT and by reenacting visual, auditorial, and sensational information during leisure activities. (Application) Products and services that allow users to experience virtually varied cultures and environments such as virtual sports, trips and experiences of diverse spaces, cyber museums and large-scale concerts, and interactive games.
2016
KISTEP 10 Emerging Technologies 2016
South Korea, Korea Institute of S&T Evaluation and Planning (KISTEP)
Mental Health Diagnostic and Treatment Technology
(Definition) By developing an algorithm that analyzes the correlation between various biometric signals received by a sensor module, data transmission and communication module and mental health symptoms, and predicts illness, this technology can forecast the aggravation of symptoms, and control, prevent and provide early treatment for the physiological and behavioral signal changes that reflect maladjustment and psychopathological processes from mental stress.(Application) Various mental health improvement and management services using IoT and smart devices; organization's mental health or social anger status monitoring system; and prediction, early diagnosis, and new treatment for mental illness based on brain-behavior.
2016
KISTEP 10 Emerging Technologies 2016
South Korea, Korea Institute of S&T Evaluation and Planning (KISTEP)
Social Robots
(Definition) Machine and software which increases emotional satisfaction by fulfilling the mental and physical needs of human users through interacting with the user in daily life. (Application) Various personal services for emotional dependence or bonding through empathy; treatment of mental illness (dementia, autism, etc.); emotional stability support for the underprivileged; and emotional ICT-based products and services.
2016
KISTEP 10 Emerging Technologies 2016
South Korea, Korea Institute of S&T Evaluation and Planning (KISTEP)
Big Data-based Infectious Disease Prediction and Alert System
(Definition) Technology that predicts the potential regional spread of infectious diseases, by utilizing diverse data such as the dissemination process of diseases, infected patients, and population data. (Application) Real-time big data analysis assists the government authority with disease management policy and improves the infectious disease control and management plan at the national level, securing public health and safety.
2016
KISTEP 10 Emerging Technologies 2016
South Korea, Korea Institute of S&T Evaluation and Planning (KISTEP)