Executive Yuan Yuan Promoted “Productivity 4.0” to Boost Global Competitiveness
Executive Yuan Yuan Promoted “Productivity 4.0” to Boost Global Competitiveness
1.Executive Yuan held the “Productivity 4.0: Strategy Review Board Meeting” to boost industrial transformation
The Executive Yuan held the “Productivity 4.0: Strategy Review Board Meeting” on June 4-5th , 2015. The GDP per capita of manufacturing and service industries, including machinery, metal processing, transportation vehicles, 3C, food, textile, logistics, health care, and agriculture, are expected to be over 10 million NT dollars by 2024.
This meeting focuses on three topics: Productivity 4.0 industry and technology development strategy, advanced development strategy on advanced manufacturing and innovation application, and strategy on engineering smart tech talents cultivation and Industry-academic Cooperation. The three main themes to be used to put the advanced manufacturing into force are smart automation and robots, sensing and control technologies from Internet of Things (IoT), and technologies used in analyzing the big data. As a result, the digitalization of small- and medium-sized business and smart operation of big business are as the cornerstones to build service-oriented systems and develop advanced manufacturing in R.O.C.. Facing challenges of labor shortages and aging labor forces, the Executive Yuan is planning to implement “Productivity 4.0” to stimulate the process of industry transformation of value-added innovation and provide new products and services in global market.
In implementing the above-mentioned policy goals, the Executive Yuan is planning three directions to be followed. First, global competitiveness is depended upon key technologies. As OEMs, manufacturing industry in R.O.C. is unable to provide products of self-owned brand and is vulnerable while facing challenges from other transnational companies. Second, the Premier, Dr. Mao Chi-kuo, made reference of the bicycle industry’s successful development model as an example for the Productivity 4.0 “A-Team” model. Through combining technologies and organizations, the aim is to build competitive supply chains across all the small- and medium-sized business. Finally, the new skills training and the cultivation of talents are more urgent than ever before. While technical and vocational schools, universities and postgraduate studies are needed to be equipped with sufficient fundamental knowledge, those already in the job market have to learn the skills and knowledge necessary for industrial transformation so that they could contribute their capabilities and wisdom for Ourfuture.
2.Executive Yuan Approved “Productivity 4.0 Initiative” to Promote Industry Innovation and Transformation
The Executive Yuan has approved the Productivity 4.0 Initiative on September 17, 2015. Before its approval, the Office of Science and Technology (OST) gave a presentation on the Draft of the Productivity 4.0 Initiative on July 23, 2015 detailing the underlying motives behind the program. Confronted with the challenges our traditional industries and OEMs meet, including labor shortages (the national laboring population ranging from age 15 to 65 has seen a substantial decrease of 0.18 to 0.2 million annually) and a aging labor force, the the Productivity 4.0 Initiative sets the directions for industrial development tackling these issues through six main strategies: enhancing and fine-tuning flagship industries’ smart-supply-chain ecosystems, encouraging the establishing of startups, localizing production and services, securing autonomy in key technologies, cultivating practical and technical talents and injection of industrial policy tools.
After hearing the presentation on the Initiative, the Premier, Mao Chi-kuo, made reference to the core ideas of the Productivity 4.0 Initiative in his concluding remarks. “The core concept of the Productivity 4.0 Initiative is to propel R.O.C. to a pivotal position in the global manufacturing supply chain by capitalizing on the nation’s core strength in industrial technology, while fostering an outstanding work environment stimulating synergy between employees and automotive systems in order to cope with R.O.C.’s imminent labor shortage,” Mao said
Also focusing on the Productivity 4.0 Initiative, the Premier gave a keynote speech titled ‘Views on the current economic and social issues’ at the Third Wednesday Club. He takes the view that the GDP downslide is of a structural nature and the government is going to guide the economy towards an upward path by assisting industries to innovate and transform. In an effort to remove the three major obstacles to innovation and entrepreneurship— discouraging laws and regulations, difficulty in raising capital and gathering financing as well as lack of international partnerships, the government has been diligently promoting the Third Party Payment Act as well as setting-up R.O.C. Rapid Innovation Prototyping League for Enterprises.
Among these measures, Industry 4.0 has been at the core of the Initiative, in which cyber-physical production system (CPS) would be introduced by integrating Cloud-computing and Internet of Things technology to spur industrial transformations, specifically industrial manufacturing, added-value services and agricultural production. The Productivity 4.0 Initiative is an imperative measure in dealing with R.O.C.’s imminent issues of labor shortage, and the aging society, its promising effects are waiting to unfold.
3.Executive Yuan’s Further Addendum to “Productivity 4.0 Plan”: Attainment of Core Technologies and the Cultivation of Domestic Technical Talents
In an continual effort to put in place the most integrated infrastructural setting for the flourishing of its “Productivity 4.0 Plan”, Executive Yuan Premier Mao Chi-Kuo announced on the 22nd October that the overhaul infrastructural set-up will be focused on the development of core technologies and the cultivation of skilled technical labor. To this end, the Executive Yuan is gathering participation and resources from the Ministry of Economic Affairs (hereafter MOEA), Ministry of Education, Ministry of Science and Technology, Ministry of Labor, the Council of Agriculture, among other governmental bodies, collecting experiences and knowledge from academia and researchers, in order to improve the development of pivotal technologies, the training of skilled technical labor and consequently to improve and reform the present education system so as to meet the aforementioned goals.
Premier Mao Chi-Kuo pointed out that Productivity 4.0 is a production concept in which the industry is evolved from mere automation- to intelligent-based manufacturing, shifting towards a “small-volume, large-variety” production paradigm, closing the gaps between production and consumption sides through direct communication, hence allowing industry to push itself further on changing its old efficiency-based production model to an innovation-driven one.
Apart from the Research and Development efforts geared towards key technologies, Premier Mao stressed that the people element, involved in this transformative process, is what dictates Productivity 4.0 Plan’s success. The cross-over or multi-disciplinary capability of the labor force is especially significant. In order to bring up the necessary work force needed for Productivity 4.0, besides raising support for the needed Research and Development, an extensive effort should be placed in reforming and upgrading the current educational system, as well as the technical labor and internal corporate educational structure. Moreover, an efficient platform should be implemented so that opinions and experiences could be pooled out, thus fostering closer ties between industry, academia and research.
The MOEA stated that the fundamental premise behind the Productivity 4.0 strategy is that by way of systematic, brand-orientated formation of technical support groups, constituted by members of industry, academia and research, will we able to develop key sensor, internet and core technologies for our manufacturing, business and agriculture sector. It is estimated that by the end of year 2016, the Executive Yuan will have completed 6 major Productivity 4.0 production lines; supported the development of technical personnel in smart manufacturing, smart business and smart agriculture, amounting to 2,500 persons; established 4 inter-university, inter-disciplinary strategic partnerships in order to prepare much needed labor force for the realization of the Productivity 4.0 Plan. It is estimated that by the year 2020, industry has already developed the key technologies through the Productivity 4.0 platform, aiding to decrease by 50% the time currently needed to for Research and Development, increasing the technological sovereignty by 50% and accrue production efficiency by 15% and above. Furthermore, through the educational reforms, the nation will be able to lay solid foundations for its future labor talents, as well as connecting them to the world at large, effectively making them fit to face the global markets and to upgrade their production model.
Brief Introduction to Taiwan Social Innovation Policies 2021/09/13 1. Introduction The Millennium Development Goals (MDGs)[1] set forth by the United Nations in 2000 are carried out primarily by nations and international organizations. Subsequently, the Sustainable Development Goals (SDGs) set forth by the United Nations in 2015 started to delegate the functions to organizations of all levels. Presently, there is a global awareness of the importance of balancing “economic growth”, “social progress”, and “environmental protection” simultaneously during development. In the above context, many similar concepts have arisen worldwide, including social/solidarity economy, social entrepreneurship and social enterprise, and social innovation. Generally, social innovation aims to alter the interactions between various groups in society through innovative applications of technology or business models, and to find new ways to solve social problems through such alterations. In other words, the goal is to use innovative methods to solve social problems.The difference between social innovation and social enterprise is that social enterprise combines commercial power to achieve its social mission under a specific perspective, while social innovation creates social value through cooperation with and coordination among technology, resources, and communities under a diversified nature. 2. Overview of Taiwan Social Enterprise Policy To integrate into the global community and assist in the development of domestic social innovation, Taiwan’s Executive Yuan launched the “Social Enterprise Action Plan” in 2014, which is the first policy initiative to support social enterprises (from 2014 to 2016).Under this policy initiative, through consulting with various ministries and applying methods such as “amending regulations”, “building platforms”, and “raising funds”, the initiative set to create an environment with favorable conditions for social innovation and start-ups. At this stage, the initiative was adopted under the principle of “administrative guidance before legislation” in order to encourage private enterprise development without excessive burden, and avoid regulations restricting the development of social enterprises, such as excessive definition of social enterprises. Moreover, for preserving the original types of these enterprises, this Action Plan did not limit the types of social enterprises to companies, non-profit organizations, or other specific types of organizations. To sustain the purpose of the Social Enterprise Action Plan and to echo and reflect the 17 sustainable development goals proposed in SDGs by the United Nations, the Executive Yuan launched the “Social Innovation Action Plan” (effective from 2018 to 2022) in 2018 to establish a friendly development environment for social innovation and to develop diversified social innovation models through the concept of “openness, gathering, practicality, and sustainability”.In this Action Plan, “social innovation” referred to “social innovation organizations” that solve social problems through technology or innovative business models. The balancing of the three managerial goals of society, environment value, and profitability is the best demonstration of the concept of social innovation. 3. Government’s Relevant Social Enterprise Policy and Resources The ministries of the Taiwan Government have been promoting relevant policies in accordance with the Social Innovation Action Plan issued by the Executive Yuan in 2018, such as the “Registration System for Social Innovation Enterprises” (counseling of social enterprises), the “Buying Power - Social Innovation Products and Services Procurement”, the “Social Innovation Platform” established by the Ministry of Economic Affairs, the “Social Innovation Manager Training Courses”, the “Promoting Social Innovation and Employment Opportunities” administered by the Ministry of Labor, and the “University Social Responsibility Program” published by the Ministry of Education. Among the above policies stands out the measures adopted by the Ministry of Economic Affairs, and a brief introduction of those policies are as follows: i. Social Innovation Platform To connect all resources involved in social issues to promote social innovation development in Taiwan, the Ministry of Economic Affairs established the “Social Innovation Platform”.[2] With visibility through the Social Innovation Platform, it has become more efficient to search for targets in a public and transparent way and to assist with the input of resources originally belonging to different fields in order to expand social influence. As a digital platform gathering “social innovation issues in Taiwan,” the Social Innovation Platform covers multiple and complete social innovation resources, which include the “SDGs Map” constructed on the Social Innovation Platform, by which we can better understand how county and city governments in Taiwan implement SDGs and Voluntary Local Review Reports, and which allow us to search the Social Innovation Database[3] and the registered organizations, by which citizens, enterprises, organizations, and even local governments concerned with local development can find their partners expediently as possible, establish service lines to proactively assist public or private entities with their needs/resources, and continue to enable the regional revitalization organizations, ministries, and enterprises to identify and put forward their needs for social innovation through the function of “Social Innovation Proposals”, which assist social innovation organizations with visibility while advancing cooperation and expanding social influence. In addition, the “Event Page” was established on the Social Innovation Platform and offers functions, such as the publishing, searching, and sorting of events in four major dimensions with respect to social innovation organization, governments, enterprises, and citizens; and encourages citizens, social innovation organizations, enterprises, and governments to devote themselves via open participation to continuously expande the influence of the (Civic Technology) Social Innovation Platform. The “Corporate Social Responsibility Report” collects the corporate social responsibility reports, observes the distribution of resources for sustainable development by corporations in Taiwan, offers filtering functions by regions, keyword, popular rankings, and or SDGs types, and provides contact information and a download function for previous years’ reports, in order to effectively assist social innovation organizations to obtain a more precise understanding of the status quo, needs, and trends with respect to their development of respective products and services. Figure 1: SDGs Map Reference: Social Innovation Platform (https://si.taiwan.gov.tw/) Figure 2: Social Innovation Database Reference: Social Innovation Platform (https://si.taiwan.gov.tw/) Figure 3: Social Innovation Proposals Reference: Social Innovation Platform (https://si.taiwan.gov.tw/) Figure 4: Event Page Reference: Social Innovation Platform (https://si.taiwan.gov.tw/) Figure 5: Corporate Social Responsibility Report Reference: Social Innovation Platform (https://si.taiwan.gov.tw/) ii. Social Innovation Database To encourage social innovation organizations to disclose their social missions, products and services, and to guide society to understand the content of social innovation, and to assist the administrative ministries to be able to utilize such information, the Ministry of Economic Affairs issued the “Principles of Registration of Social Innovation Organizations” to establish the “Social Innovation Database”. Once a social innovation organization discloses the items, such as its social missions, business model, or social influence, it may obtain the relevant promotional assistance resources, including becoming a trade partner with Buying Power (Social Innovation Products and Services Procurement), receiving exclusive consultation and assistance from professionals for social innovation organizations, and becoming qualified to apply to entering into the Social Innovation Lab.Moreover, the Ministry of Economic Affairs is simultaneously consolidating, identifying, and designating the awards and grants offered by the various ministries, policies and measures in respect of investment, and financing and assistance, as resources made available to registered entities. As of 25 May 2021, there were 658 registered social innovation organizations and 96 Social Innovation Partners (enterprises with CSR or ESG resources that recognize the cooperation with social innovation under the social innovation thinking model may be registered as a “Social Innovation Partner”).The public and enterprises can search for organizations registered in the Social Innovation Database through the above-said Social Innovation Platform, the search ability of which advances the exposure of and the opportunities for cooperation with social innovation organizations. Figure 6: Numbers of registered social innovation organizations and accumulated value of purchases under Buying Power Reference: Social Innovation Platform(https://si.taiwan.gov.tw/) iii. Buying Power - Social Innovation Products and Services Procurement In order to continue increasing the awareness on social innovation organizations and related issues and promote responsible consumption and production in Taiwan, as well as to raise the attention of the commercial sector to the sustainability-driven procurement models, the Ministry of Economic Affairs held the first “Buying Power - Social Innovation Products and Services Procurement” event in 2017. Through the award system under the Buying Power, it continues to encourage the governments, state-owned enterprises, private enterprises, and organizations to take the lead in purchasing products or services from social innovation organizations, to provide the relevant resources so as to assist social innovation organizations to obtain resources and to explore business opportunities in the markets, to practice responsible consumption and production, and to promote innovative cooperation between all industries and commerce and social innovation organizations. The aim of the implementation of the Buying Power is to encourage the central and local governments, state-owned enterprises, private enterprises, and non-governmental organizations to purchase products or services from organizations registered in the Social Innovation Database, while prizes will be awarded based on the purchase amounts accumulated during the calculation period. The winners can obtain priority in applying for membership in the Social Innovation Partner Group, with corresponding member services, in the future. Under the Social Innovation Platform, both the amount of purchase awards and the number of applicants for special awards continue to increase.So far, purchases have accumulated to a value of more than NT$1.1 billion (see Figure 6), and more than 300 organizations have proactively participated. iv. Social Innovation Mark In order to promote public awareness of social innovation, the Ministry of Economic Affairs has been charged with the commissioned task of promoting the Social Innovation Mark, and issued “ The Small and Medium Enterprise Administration of the Ministry of Economic Affairs Directions for Authorization of the Social Innovation Mark” as the standard for the authorization of the Social Innovation Mark. Social innovation organizations can use the Mark, through obtaining authorization, to hold Social Innovation Summits or other social innovation activities for promoting social innovation concepts. In order to build the Mark as a conceptual symbol of social innovation, the Ministry of Economic Affairs has been using the Social Innovation Mark in connection with various social innovation activities, such as the Social Innovation Platform, the Buying Power, and the annual Social Innovation Summit. Taking the selection of sponsors of the Social Innovation Summit in 2022 as an example[4], only organizations that have obtained authorization of the Social Innovation Mark can use the Mark to hold the Social Innovation Summit. Figure 7: The Social Innovation Mark of the Small and Medium Enterprise Administration, Ministry of Economic Affairs IV. Conclusion The “Organization for Economic Cooperation and Development” (OECD) regards social innovation as a new strategy for solving future social problems and as an important method for youth entrepreneurship and social enterprise development.Taiwan’s social innovation energy has entered a stage of expansion and development. Through the promotion of the “Social Innovation Action Plan,” the resources from the central and local governments are integrated to establish the Social Innovation Platform, the Social Innovation Database, the Social Innovation Lab, and the Social Innovation Mark. In addition, incentives such as the Buying Power have been created, manifesting the positive influence of Taiwan’s social innovation. [1] MDGs are put forward by the United Nations in 2000, and are also the goals requiring all the 191 member states and at least 22 international organizations of the United Nations to be committed to on their best endeavors, including: 1. eradicating extreme poverty and hunger, 2. applying universal primary education, 3. promoting gender equality and empowering women, 4. reducing child mortality rates, 5. improving maternal health, 6. combatting HIV/AIDS, malaria, and other diseases, 7. ensuring environmental sustainability, and 8. establishing a global partnership for development. [2] Please refer to the Social Innovation Platform: https://si.taiwan.gov.tw/. [3] Please refer to the Social Innovation Database: https://si.taiwan.gov.tw/Home/Org_list. [4] Please refer to the guidelines for the selection of sponsors of the 2022 Social Innovation Summit: https://www.moeasmea.gov.tw/files/6221/4753E497-B422-4303-A8D4-35AE0B4043A9
The opening and sharing of scientific data- The Data Policy of the U.S. National Institutes of HealthThe opening and sharing of scientific data- The Data Policy of the U.S. National Institutes of Health Li-Ting Tsai Scientific research improves the well-being of all mankind, the data sharing on medical and health promote the overall amount of energy in research field. For promoting the access of scientific data and research findings which was supported by the government, the U.S. government affirmed in principle that the development of science was related to the retention and accesses of data. The disclosure of information should comply with legal restrictions, and the limitation by time as well. For government-sponsored research, the data produced was based on the principle of free access, and government policies should also consider the actual situation of international cooperation[1]Furthermore, the access of scientific research data would help to promote scientific development, therefore while formulating a sharing policy, the government should also consider the situation of international cooperation, and discuss the strategy of data disclosure based on the principle of free access. In order to increase the effectiveness of scientific data, the U.S. National Institutes of Health (NIH) set up the Office of Science Policy (OSP) to formulate a policy which included a wide range of issues, such as biosafety (biosecurity), genetic testing, genomic data sharing, human subjects protections, the organization and management of the NIH, and the outputs and value of NIH-funded research. Through extensive analysis and reports, proposed emerging policy recommendations.[2] At the level of scientific data sharing, NIH focused on "genes and health" and "scientific data management". The progress of biomedical research depended on the access of scientific data; sharing scientific data was helpful to verify research results. Researchers integrated data to strengthen analysis, promoted the reuse of difficult-generated data, and accelerated research progress.[3] NIH promoted the use of scientific data through data management to verify and share research results. For assisting data sharing, NIH had issued a data management and sharing policy (DMS Policy), which aimed to promote the sharing of scientific data funded or conducted by NIH.[4] DMS Policy defines “scientific data.” as “The recorded factual material commonly accepted in the scientific community as of sufficient quality to validate and replicate research findings, regardless of whether the data are used to support scholarly publications. Scientific data do not include laboratory notebooks, preliminary analyses, completed case report forms, drafts of scientific papers, plans for future research, peer reviews, communications with colleagues, or physical objects, such as laboratory specimens.”[5] In other words, for determining scientific data, it is not only based on whether the data can support academic publications, but also based on whether the scientific data is a record of facts and whether the research results can be repeatedly verified. In addition, NIH, NIH research institutes, centers, and offices have had expected sharing of data, such as: scientific data sharing, related standards, database selection, time limitation, applicable and presented in the plan; if not applicable, the researcher should propose the data sharing and management methods in the plan. NIH also recommended that the management and sharing of data should implement the FAIR (Findable, Accessible, Interoperable and Reusable) principles. The types of data to be shared should first in general descriptions and estimates, the second was to list meta-data and other documents that would help to explain scientific data. NIH encouraged the sharing of scientific data as soon as possible, no later than the publication or implementation period.[6] It was said that even each research project was not suitable for the existing sharing strategy, when planning a proposal, the research team should still develop a suitable method for sharing and management, and follow the FAIR principles. The scientific research data which was provided by the research team would be stored in a database which was designated by the policy or funder. NIH proposed a list of recommended databases lists[7], and described the characteristics of ideal storage databases as “have unique and persistent identifiers, a long-term and sustainable data management plan, set up metadata, organizing data and quality assurance, free and easy access, broad and measured reuse, clear use guidance, security and integrity, confidentiality, common format, provenance and data retention policy”[8]. That is to say, the design of the database should be easy to search scientific data, and should maintain the security, integrity and confidentiality and so on of the data while accessing them. In the practical application of NIH shared data, in order to share genetic research data, NIH proposed a Genomic Data Sharing (GDS) Policy in 2014, including NIH funding guidelines and contracts; NIH’s GDS policy applied to all NIHs Funded research, the generated large-scale human or non-human genetic data would be used in subsequent research. [9] This can effectively promote genetic research forward. The GDS policy obliged researchers to provide genomic data; researchers who access genomic data should also abide by the terms that they used the Controlled-Access Data for research.[10] After NIH approved, researchers could use the NIH Controlled-Access Data for secondary research.[11] Reviewed by NIH Data Access Committee, while researchers accessed data must follow the terms which was using Controlled-Access Data for research reason.[12] The Genomic Summary Results (GSR) was belong to NIH policy,[13] and according to the purpose of GDS policy, GSR was defined as summary statistics which was provided by researchers, and non-sensitive data was included to the database that was designated by NIH.[14] Namely. NIH used the application and approval of control access data to strike a balance between the data of limitation access and scientific development. For responding the COVID-19 and accelerating the development of treatments and vaccines, NIH's data sharing and management policy alleviated the global scientific community’s need for opening and sharing scientific data. This policy established data sharing as a basic component in the research process.[15] In conclusion, internalizing data sharing in the research process will help to update the research process globally and face the scientific challenges of all mankind together. [1]NATIONAL SCIENCE AND TECHNOLOGY COUNCIL, COMMITTEE ON SCIENCE, SUBCOMMITEE ON INTERNATIONAL ISSUES, INTERAGENCY WORKING GROUP ON OPEN DATA SHARING POLICY, Principles For Promoting Access To Federal Government-Supported Scientific Data And Research Findings Through International Scientific Cooperation (2016), 1, organized from Principles, at 5-8, https://obamawhitehouse.archives.gov/sites/default/files/microsites/ostp/NSTC/iwgodsp_principles_0.pdf (last visited December 14, 2020). [2]About Us, Welcome to NIH Office of Science Policy, NIH National Institutes of Health Office of Science Policy, https://osp.od.nih.gov/about-us/ (last visited December 7, 2020). [3]NIH Data Management and Sharing Activities Related to Public Access and Open Science, NIH National Institutes of Health Office of Science Policy, https://osp.od.nih.gov/scientific-sharing/nih-data-management-and-sharing-activities-related-to-public-access-and-open-science/ (last visited December 10, 2020). [4]Final NIH Policy for Data Management and Sharing, NIH National Institutes of Health Office of Extramural Research, Office of The Director, National Institutes of Health (OD), https://grants.nih.gov/grants/guide/notice-files/NOT-OD-21-013.html (last visited December 11, 2020). [5]Final NIH Policy for Data Management and Sharing, NIH National Institutes of Health Office of Extramural Research, Office of The Director, National Institutes of Health (OD), https://grants.nih.gov/grants/guide/notice-files/NOT-OD-21-013.html (last visited December 12, 2020). [6]Supplemental Information to the NIH Policy for Data Management and Sharing: Elements of an NIH Data Management and Sharing Plan, Office of The Director, National Institutes of Health (OD), https://grants.nih.gov/grants/guide/notice-files/NOT-OD-21-014.html (last visited December 13, 2020). [7]The list of databases in details please see：Open Domain-Specific Data Sharing Repositories, NIH National Library of Medicine, https://www.nlm.nih.gov/NIHbmic/domain_specific_repositories.html (last visited December 24, 2020). [8]Supplemental Information to the NIH Policy for Data Management and Sharing: Selecting a Repository for Data Resulting from NIH-Supported Research, Office of The Director, National Institutes of Health (OD), https://grants.nih.gov/grants/guide/notice-files/NOT-OD-21-016.html (last visited December 13, 2020). [9]NIH Genomic Data Sharing, National Institutes of Health Office of Science Policy, https://osp.od.nih.gov/scientific-sharing/genomic-data-sharing/ (last visited December 15, 2020). [10]NIH Genomic Data Sharing Policy, National Institutes of Health (NIH), https://grants.nih.gov/grants/guide/notice-files/NOT-OD-14-124.html (last visited December 17, 2020). [11]NIH Genomic Data Sharing Policy, National Institutes of Health (NIH), https://grants.nih.gov/grants/guide/notice-files/NOT-OD-14-124.html (last visited December 17, 2020). [12]id. [13]NIH National Institutes of Health Turning Discovery into Health, Responsible Use of Human Genomic Data An Informational Resource, 1, at 6, https://osp.od.nih.gov/wp-content/uploads/Responsible_Use_of_Human_Genomic_Data_Informational_Resource.pdf (last visited December 17, 2020). [14]Update to NIH Management of Genomic Summary Results Access, National Institutes of Health (NIH), https://grants.nih.gov/grants/guide/notice-files/NOT-OD-19-023.html (last visited December 17, 2020). [15]Francis S. Collins, Statement on Final NIH Policy for Data Management and Sharing, National Institutes of Health Turning Discovery Into Health, https://www.nih.gov/about-nih/who-we-are/nih-director/statements/statement-final-nih-policy-data-management-sharing (last visited December 14, 2020).
The use of automated facial recognition technology and supervision mechanism in UKThe use of automated facial recognition technology and supervision mechanism in UK I. Introduction Automatic facial recognition (AFR) technology has developed rapidly in recent years, and it can identify target people in a short time. The UK Home Office announced the "Biometrics Strategy" on June 28, 2018, saying that AFR technology will be introduced in the law enforcement, and the Home Office will also actively cooperate with other agencies to establish a new oversight and advisory board in order to maintain public trust. AFR technology can improve law enforcement work, but its use will increase the risk of intruding into individual liberty and privacy. This article focuses on the application of AFR technology proposed by the UK Home Office. The first part of this article describes the use of AFR technology by the police. The second part focuses on the supervision mechanism proposed by the Home Office in the Biometrics Strategy. However, because the use of AFR technology is still controversial, this article will sort out the key issues of follow-up development through the opinions of the public and private sectors. The overview of the discussion of AFR technology used by police agencies would be helpful for further policy formulation. II. Overview of the strategy of AFR technology used by the UK police According to the Home Office’s Biometrics Strategy, the AFR technology will be used in law enforcement, passports and immigration and national security to protect the public and make these public services more efficient[1]. Since 2017 the UK police have worked with tech companies in testing the AFR technology, at public events like Notting Hill Carnival or big football matches[2]. In practice, AFR technology is deployed with mobile or fixed camera systems. When a face image is captured through the camera, it is passed to the recognition software for identification in real time. Then, the AFR system will process if there is a ‘match’ and the alarm would solicit an operator’s attention to verify the match and execute the appropriate action[3]. For example, South Wales Police have used AFR system to compare images of people in crowds attending events with pre-determined watch lists of suspected mobile phone thieves[4]. In the future, the police may also compare potential suspects against images from closed-circuit television cameras (CCTV) or mobile phone footage for evidential and investigatory purposes[5]. The AFR system may use as tools of crime prevention, more than as a form of crime detection[6]. However, the uses of AFR technology are seen as dangerous and intrusive by the UK public[7]. For one thing, it could cause serious harm to democracy and human rights if the police agency misuses AFR technology. For another, it could have a chilling effect on civil society and people may keep self-censoring lawful behavior under constant surveillance[8]. III. The supervision mechanism of AFR technology To maintaining public trust, there must be a supervision mechanism to oversight the use of AFR technology in law enforcement. The UK Home Office indicates that the use of AFR technology is governed by a number of codes of practice including Police and Criminal Evidence Act 1984, Surveillance Camera Code of Practice and the Information Commissioner’s Office (ICO)’s Code of Practice for surveillance cameras[9]. (I) Police and Criminal Evidence Act 1984 The Police and Criminal Evidence Act (PACE) 1984 lays down police powers to obtain and use biometric data, such as collecting DNA and fingerprints from people arrested for a recordable offence. The PACE allows law enforcement agencies proceeding identification to find out people related to crime for criminal and national security purposes. Therefore, for the investigation, detection and prevention tasks related to crime and terrorist activities, the police can collect the facial image of the suspect, which can also be interpreted as the scope of authorization of the PACE. (II) Surveillance Camera Code of Practice The use of CCTV in public places has interfered with the rights of the people, so the Protection of Freedoms Act 2012 requires the establishment of an independent Surveillance Camera Commissioner (SCC) for supervision. The Surveillance Camera Code of Practice proposed by the SCC sets out 12 principles for guiding the operation and use of surveillance camera systems. The 12 guiding principles are as follows[10]: A. Use of a surveillance camera system must always be for a specified purpose which is in pursuit of a legitimate aim and necessary to meet an identified pressing need. B. The use of a surveillance camera system must take into account its effect on individuals and their privacy, with regular reviews to ensure its use remains justified. C. There must be as much transparency in the use of a surveillance camera system as possible, including a published contact point for access to information and complaints. D. There must be clear responsibility and accountability for all surveillance camera system activities including images and information collected, held and used. E. Clear rules, policies and procedures must be in place before a surveillance camera system is used, and these must be communicated to all who need to comply with them. F. No more images and information should be stored than that which is strictly required for the stated purpose of a surveillance camera system, and such images and information should be deleted once their purposes have been discharged. G. Access to retained images and information should be restricted and there must be clearly defined rules on who can gain access and for what purpose such access is granted; the disclosure of images and information should only take place when it is necessary for such a purpose or for law enforcement purposes. H. Surveillance camera system operators should consider any approved operational, technical and competency standards relevant to a system and its purpose and work to meet and maintain those standards. I. Surveillance camera system images and information should be subject to appropriate security measures to safeguard against unauthorised access and use. J. There should be effective review and audit mechanisms to ensure legal requirements, policies and standards are complied with in practice, and regular reports should be published. K. When the use of a surveillance camera system is in pursuit of a legitimate aim, and there is a pressing need for its use, it should then be used in the most effective way to support public safety and law enforcement with the aim of processing images and information of evidential value. L. Any information used to support a surveillance camera system which compares against a reference database for matching purposes should be accurate and kept up to date. (III) ICO’s Code of Practice for surveillance cameras It must need to pay attention to the personal data and privacy protection during the use of surveillance camera systems and AFR technology. The ICO issued its Code of Practice for surveillance cameras under the Data Protection Act 1998 to explain the legal requirements operators of surveillance cameras. The key points of ICO’s Code of Practice for surveillance cameras are summarized as follows[11]: A. The use time of the surveillance camera systems should be carefully evaluated and adjusted. It is recommended to regularly evaluate whether it is necessary and proportionate to continue using it. B. A police force should ensure an effective administration of surveillance camera systems deciding who has responsibility for the control of personal information, what is to be recorded, how the information should be used and to whom it may be disclosed. C. Recorded material should be stored in a safe way to ensure that personal information can be used effectively for its intended purpose. In addition, the information may be considered to be encrypted if necessary. D. Disclosure of information from surveillance systems must be controlled and consistent with the purposes for which the system was established. E. Individuals whose information is recoded have a right to be provided with that information or view that information. The ICO recommends that information must be provided promptly and within no longer than 40 calendar days of receiving a request. F. The minimum and maximum retention periods of recoded material is not prescribed in the Data Protection Act 1998, but it should not be kept for longer than is necessary and should be the shortest period necessary to serve the purposes for which the system was established. (IV) A new oversight and advisory board In addition to the aforementioned regulations and guidance, the UK Home Office mentioned that it will work closely with related authorities, including ICO, SCC, Biometrics Commissioner (BC), and Forensic Science Regulator (FSR) to establish a new oversight and advisory board to coordinate consideration of law enforcement’s use of facial images and facial recognition systems[12]. To sum up, it is estimated that the use of AFR technology by law enforcement has been abided by existing regulations and guidance. Firstly, surveillance camera systems must be used on the purposes for which the system was established. Secondly, clear responsibility and accountability mechanisms should be ensured. Thirdly, individuals whose information is recoded have the right to request access to relevant information. In the future, the new oversight and advisory board will be asked to consider issues relating to law enforcement’s use of AFR technology with greater transparency. IV. Follow-up key issues for the use of AFR technology Regarding to the UK Home Office’s Biometrics Strategy, members of independent agencies such as ICO, BC, SCC, as well as civil society, believe that there are still many deficiencies, the relevant discussions are summarized as follows: (I) The necessity of using AFR technology Elizabeth Denham, ICO Commissioner, called for looking at the use of AFR technology carefully, because AFR is an intrusive technology and can increase the risk of intruding into our privacy. Therefore, for the use of AFR technology to be legal, the UK police must have clear evidence to demonstrate that the use of AFR technology in public space is effective in resolving the problem that it aims to address[13]. The Home Office has pledged to undertake Data Protection Impact Assessments (DPIAs) before introducing AFR technology, including the purpose and legal basis, the framework applies to the organization using the biometrics, the necessity and proportionality and so on. (II)The limitations of using facial image data The UK police can collect, process and use personal data based on the need for crime prevention, investigation and prosecution. In order to secure the use of biometric information, the BC was established under the Protection of Freedoms Act 2012. The mission of the BC is to regulate the use of biometric information, provide protection from disproportionate enforcement action, and limit the application of surveillance and counter-terrorism powers. However, the BC’s powers do not presently extend to other forms of biometric information other than DNA or fingerprints[14]. The BC has expressed concern that while the use of biometric data may well be in the public interest for law enforcement purposes and to support other government functions, the public benefit must be balanced against loss of privacy. Hence, legislation should be carried to decide that crucial question, instead of depending on the BC’s case feedback[15]. Because biometric data is especially sensitive and most intrusive of individual privacy, it seems that a governance framework should be required and will make decisions of the use of facial images by the police. (III) Database management and transparency For the application of AFR technology, the scope of biometric database is a dispute issue in the UK. It is worth mentioning that the British people feel distrust of the criminal database held by the police. When someone is arrested and detained by the police, the police will take photos of the suspect’s face. However, unlike fingerprints and DNA, even if the person is not sued, their facial images are not automatically deleted from the police biometric database[16]. South Wales Police have used AFR technology to compare facial images of people in crowds attending major public events with pre-determined watch lists of suspected mobile phone thieves in the AFR field test. Although the watch lists are created for time-limited and specific purposes, the inclusion of suspects who could possibly be innocent people still causes public panic. Elizabeth Denham warned that there should be a transparency system about retaining facial images of those arrested but not charged for certain offences[17]. Therefore, in the future the UK Home Office may need to establish a transparent system of AFR biometric database and related supervision mechanism. (IV) Accuracy and identification errors In addition to worrying about infringing personal privacy, the low accuracy of AFR technology is another reason many people oppose the use of AFR technology by police agencies. Silkie Carlo, director of Big Brother Watch, said the police must immediately stop using the AFR technology and avoid mistaking thousands of innocent citizens as criminals; Paul Wiles, Biometrics Commissioner, also called for legislation to manage AFR technology because of its accuracy is too low and the use of AFR technology should be tested and passed external peer review[18]. In the Home Office’s Biometric Strategy, the scientific quality standards for AFR technology will be established jointly with the FSR, an independent agency under the Home Office. In other words, the Home Office plans to extend the existing forensics science regime to regulate AFR technology. Therefore, the FSR has worked with the SCC to develop standards relevant to digital forensics. The UK government has not yet seen specific standards for regulating the accuracy of AFR technology at the present stage. V. Conclusion From the discussion of the public and private sectors in the UK, we can summarize some rules for the use of AFR technology. Firstly, before the application of AFR technology, it is necessary to complete the pre-assessment to ensure the benefits to the whole society. Secondly, there is the possibility of identifying errors in AFR technology. Therefore, in order to maintain the confidence and trust of the people, the relevant scientific standards should be set up first to test the system accuracy. Thirdly, the AFR system should be regarded as an assisting tool for police enforcement in the initial stage. In other words, the information analyzed by the AFR system should still be judged by law enforcement officials, and the police officers should take the responsibilities. In order to balance the protection of public interest and basic human rights, the use of biometric data in the AFR technology should be regulated by a special law other than the regulations of surveillance camera and data protection. The scope of the identification database is also a key point, and it may need legislators’ approval to collect and store the facial image data of innocent people. Last but not least, the use of the AFR system should be transparent and the victims of human rights violations can seek appeal. [1] UK Home Office, Biometrics Strategy, Jun. 28, 2018, https://www.gov.uk/government/publications/home-office-biometrics-strategy (last visited Aug. 09, 2018), at 7. [2] Big Brother Watch, FACE OFF CAMPAIGN: STOP THE MET POLICE USING AUTHORITARIAN FACIAL RECOGNITION CAMERAS, https://bigbrotherwatch.org.uk/all-campaigns/face-off-campaign/ (last visited Aug. 16, 2018). [3] Lucas Introna & David Wood, Picturing algorithmic surveillance: the politics of facial recognition systems, Surveillance & Society, 2(2/3), 177-198 (2004). [4] Supra note 1, at 12. [5] Id, at 25. [6] Michael Bromby, Computerised Facial Recognition Systems: The Surrounding Legal Problems (Sep. 2006)(LL.M Dissertation Faculty of Law University of Edinburgh), http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.197.7339&rep=rep1&type=pdf , at 3. [7] Owen Bowcott, Police face legal action over use of facial recognition cameras, The Guardian, Jun. 14, 2018, https://www.theguardian.com/technology/2018/jun/14/police-face-legal-action-over-use-of-facial-recognition-cameras (last visited Aug. 09, 2018). [8] Martha Spurrier, Facial recognition is not just useless. In police hands, it is dangerous, The Guardian, May 16, 2018, https://www.theguardian.com/commentisfree/2018/may/16/facial-recognition-useless-police-dangerous-met-inaccurate (last visited Aug. 17, 2018). [9] Supra note 1, at 12. [10] Surveillance Camera Commissioner, Surveillance camera code of practice, Oct. 28, 2014, https://www.gov.uk/government/publications/surveillance-camera-code-of-practice (last visited Aug. 17, 2018). [11] UK Information Commissioner’s Office, In the picture: A data protection code of practice for surveillance cameras and personal information, Jun. 09, 2017, https://ico.org.uk/for-organisations/guide-to-data-protection/encryption/scenarios/cctv/ (last visited Aug. 10, 2018). [12] Supra note 1, at 13. [13] Elizabeth Denham, Blog: facial recognition technology and law enforcement, Information Commissioner's Office, May 14, 2018, https://ico.org.uk/about-the-ico/news-and-events/blog-facial-recognition-technology-and-law-enforcement/ (last visited Aug. 14, 2018). [14] Monique Mann & Marcus Smith, Automated Facial Recognition Technology: Recent Developments and Approaches to Oversight, Automated Facial Recognition Technology, 10(1), 140 (2017). [15] Biometrics Commissioner, Biometrics Commissioner’s response to the Home Office Biometrics Strategy, Jun. 28, 2018, https://www.gov.uk/government/news/biometrics-commissioners-response-to-the-home-office-biometrics-strategy (last visited Aug. 15, 2018). [16] Supra note 2. [17] Supra note 13. [18] Jon Sharman, Metropolitan Police's facial recognition technology 98% inaccurate, figures show, INDEPENDENT, May 13, 2018, https://www.independent.co.uk/news/uk/home-news/met-police-facial-recognition-success-south-wales-trial-home-office-false-positive-a8345036.html (last visited Aug. 09, 2018).
A Before and After Impact Comparison of Applying Statute for Industrial Innovation Article 23-1 Draft on Venture Capital Limited PartnershipsA Before and After Impact Comparison of Applying Statute for Industrial Innovation Article 23-1 Draft on Venture Capital Limited Partnerships I. Background Because the business models adopted by Industries, such as venture capital, film, stage performance and others, are intended to be temporary entities, and the existing business laws are not applicable for such industries,[1] the Legislature Yuan passed the “Limited Partnership Act” in June 2015,[2] for the purpose of encouraging capital injection into these industries. However, since the Act was passed, there are currently only nine limited partnerships listed on the Ministry of Economic Affairs' limited partnership information website. Among them, “Da-Zuo Limited Partnership (Germany) Taiwan Branch” and “Stober Antriebstechnik Limited Partnership (Germany) Taiwan Branch”, are branch companies established by foreign businesses, the remaining seven companies are audio video production and information service businesses. It is a pity that no venture capital company is adopting this format.[3] In fact, several foreign countries have set up supporting measures for their taxation systems targeting those business structures, such as limited partnerships. For example, the pass-through taxation method (or referred to as single entity taxation) is adopted by the United States, while Transparenzprinzip is used by Germany. These two taxation methods may have different names, but their core ideas are to pass the profits of a limited partnership to the earnings of partners.[4] However, following the adoption of the Limited Partnership Act in Taiwan, the Ministry of Finance issued an interpretation letter stating that because the current legal system confers an independent legal entity status to the business structure of a limited partnership, it should be treated as a profit-seeking business and taxed with Profit-Seeking Enterprise Income Tax.[5] Therefore, to actualize the legislative objective of encouraging innovative businesses organized under tenets of the Limited Partnership Act, the Executive Yuan presented a draft amendment for Article 23-1 of the Statute for Industrial Innovation (hereinafter referred to as the Draft), introducing the "Pass Through Taxation Principle" as adopted by several foreign countries. That is, a Limited Partnership will not be levied with the Profit-Seeking Enterprise Income Tax, but each partner will file income tax reports based on after-profit-gains from the partnership that are passed through to each partner. It is expected that the venture capital industry will now be encouraged to adopt the limited partnership structure, and thus increase investment capital in new ventures. II. The Pass Through Taxation Method is Applicable to Newly Established Venture Capital Limited Partnerships 1. The Requirements and Effects (1) The Requirements According to the provisions of Article 23-1 Paragraph 3 of the Draft, to be eligible for Pass Through Taxation, newly established venture capital limited partnerships must meet the following requirements: 1. The venture capital limited partnerships are established between January 1, 2017 and December 31, 2019. 2. Investment threshold of the total agreed capital contribution, total received capital contribution, and accumulated total capital contribution, within five years of the establishment of venture capital limited partnerships: Total Agreed Capital Contribution in the Limited Partnership Agreement Total Received Capital Contribution Accumulated Investment Amount for Start-up Companies The Year of Establishment 3 hundred million ✕ ✕ The Second Year ✕ ✕ The Third Year 1 hundred million ✕ The Fourth Year 2 hundred million Reaching 30 percent of the total received capital contribution of the year or 3 hundred million NT dollars. The Fifth Year 3 hundred million 3. The total amount, that an overseas company applies in capital and investments in actual business operations in Taiwan, reaches 50% of its total received capital contribution of that year. 4. In compliance with government policies. 5. Reviewed and approved by the central competent authority each year. (2) The Effects The effects of applying the provisions of Article 23-1 Paragraph 3 of the Draft are as follows: 1. Venture capital limited partnerships are exempt from the Profit-Seeking Enterprise Income Tax. 2. Taxation method for partners in a limited partnership after obtaining profit gains: (1) Pursuant to the Income Tax Act, Individual partners and for-profit business partners are taxed on their proportionally-calculated, distributed earnings. (2) Individual partners and foreign for-profit business partners are exempt from income tax on the stock earnings distributed by a limited partnership. 2. Benefit Analysis Before and After Applying Pass Through Taxation Method A domestic individual A, a domestic profit-making business B, and a foreign profit-making business C jointly form a venture capital limited partnership, One. The earnings distribution of the company One is 10%, 80% and 10% for A, B, and C partners, respectively. The calculated earnings of company One are one million (where eight hundred thousand are stock earnings, and two hundred thousand are non-stock earnings). How much income tax should be paid by the company One, and partners A, B, and C? (1) Pursuant to the Income Tax Act, before the amended draft: 1. One Venture Capital Limited Partnership Should pay Profit-Seeking Enterprise Income Tax = (NT$1,000,000 (earning) - NT$500,000[6])x12% (tax rate[7])=NT$60,000 2. Domestic Individual A Should file a comprehensive income report with business profit income =(NT$1,000,000-NT$60,000) x 10% (company One draft a voucher for net amount for A) + NT$60,000÷2×10% (deductible tax rate)= NT$97,000 Tax payable on profit earnings＝NT$91,500×5%(tax rate)＝NT$4,850 Actual income tax paid＝NT$4,850 - NT$60,000÷2×10% (deductible tax rate) ＝NT$1,485 3. Domestic For-Profit Business B Pursuant to the provisions of Article 42 of the Income Tax Act, the net dividend or net income received by a profit-seeking company is not included in the income tax calculation. 4. Foreign For-Profit Business C Tax paid at its earning source＝(NT$1,000,000 - NT$60,000) ×10% (earning distribution rate) ×20% (tax rate at earning source)＝NT$18,800 (2) Applying Pass Through Taxation Method After Enacting the Amendment 1. One Venture Capital Limited Partnership No income tax. 2. Domestic Individual A Should pay tax＝NT$800,000 (non-stock distributed earnings)×10% (earning distribution rate)×5% (comprehensive income tax rate)＝NT$1,000 3. Domestic For-Profit Business B Pursuant to the provisions of Article 42 of the Income Tax Act, the net dividend or net income received by a profit-seeking company is not included in the income tax calculation. 4. Foreign For-Profit Business C Tax paid at its earning source＝NT$800,000 (non-stock distributed earnings)×10%(earning distribution rate)×20% (tax rate at earning source)＝NT$4,000 The aforementioned example shows that under the situation, where the earning distribution is the same and tax rate for the same taxation subject is the same, the newly-established venture capital limited partnerships and their shareholders enjoy a more favorable tax benefit with the adoption of pass through taxation method: Before the Amendment After the Amendment Venture Capital Limited Partnership NT$60,000 Excluded in calculation Shareholders Domestic Individual NT$1,850 NT$1,000 Domestic For-Profit Business Excluded in calculation Excluded in calculation Foreign For-Profit Business NT$18,800 NT$4,000 Sub-total NT$80,650 NT$5,000 III. Conclusion Compared to the corporate taxation, the application of the pass through taxation method allows for a significant reduction in tax burden. While developing Taiwan’s pass through tax scheme, the government referenced corporate taxation under the U.S. Internal Revenue Code (IRC), where companies that meet the conditions of Chapter S can adopt the “pass through” method, that is, pass the earnings to the owner, with the income of shareholders being the objects of taxation;[8] and studied the "Transparenzprinzip" adopted by the German taxation board for partnership style for-profit businesses. Following these legislative examples, where profits are identified as belonging to organization members,[9] the government legislation includes the adoption of the pass through taxation scheme for venture capital limited partnerships in the amended draft of Article 23-1 of the Statute for Industrial Innovation, so that the legislation is up to international standards and norms, while making an important breakthrough in the current income tax system. This is truly worthy of praise. [1] The Legislative Yuan Gazette, Vol. 104, No. 51, page 325. URL:http://misq.ly.gov.tw/MISQ//IQuery/misq5000Action.action [2] A View on the Limited Partnership in Taiwan, Cross-Strait Law Review, No. 54, Liao, Da-Ying, Page 42. [3] Ministry of Economic Affairs - Limited Partnership Registration Information URL: http://gcis.nat.gov.tw/lmpub/lms/dir.jsp?showgcislocation=true&agencycode=allbf [4] Same as annotate 2, pages 51-52. [5] Reference Letter of Interpretation dated December 18, 2015, Tai-Cai-Shui Zi No. 10400636640, the Ministry of Finance [6] First half of Paragraph 1 of Article 8 of the Income Basic Tax Act [7] Second half of Paragraph 1 of Article 8 of the Income Basic Tax Act [8] A Study on the Limited Partnership Act, Master’s degree thesis, College of Law, Soochow University, Wu, Tsung-Yeh, pages 95-96. [9] Reference annotate 2, pages 52.
- Impact of Government Organizational Reform to Scientific Research Legal System and Response Thereto (1) – For Example, The Finnish Innovation Fund (“SITRA”)
- The Demand of Intellectual Property Management for Taiwanese Enterprises
- Blockchain in Intellectual Property Protection
- Impact of Government Organizational Reform to Research Legal System and Response Thereto (2) – Observation of the Swiss Research Innovation System
- Recent Federal Decisions and Emerging Trends in U.S. Defend Trade Secrets Act Litigation
- The effective and innovative way to use the spectrum: focus on the development of the "interleaved/white space"
- Copyright Ownership for Outputs by Artificial Intelligence
- Impact of Government Organizational Reform to Research Legal System and Response Thereto (2) – Observation of the Swiss Research Innovation System