The CAS Center for Interdisciplinary Studies of Social and Natural Sciences was officially established on September 20 in Beijing. At the opening ceremony, CAS President Lu Yongxiang pointed out that the social and na...The CAS Center for Interdisciplinary Studies of Social and Natural Sciences was officially established on September 20 in Beijing. At the opening ceremony, CAS President Lu Yongxiang pointed out that the social and natural sciences are increasingly seeking new methodologies from each other展开更多
In an era dominated by artificial intelligence (AI), establishing customer confidence is crucial for the integration and acceptance of AI technologies. This interdisciplinary study examines factors influencing custome...In an era dominated by artificial intelligence (AI), establishing customer confidence is crucial for the integration and acceptance of AI technologies. This interdisciplinary study examines factors influencing customer trust in AI systems through a mixed-methods approach, blending quantitative analysis with qualitative insights to create a comprehensive conceptual framework. Quantitatively, the study analyzes responses from 1248 participants using structural equation modeling (SEM), exploring interactions between technological factors like perceived usefulness and transparency, psychological factors including perceived risk and domain expertise, and organizational factors such as leadership support and ethical accountability. The results confirm the model, showing significant impacts of these factors on consumer trust and AI adoption attitudes. Qualitatively, the study includes 35 semi-structured interviews and five case studies, providing deeper insight into the dynamics shaping trust. Key themes identified include the necessity of explainability, domain competence, corporate culture, and stakeholder engagement in fostering trust. The qualitative findings complement the quantitative data, highlighting the complex interplay between technology capabilities, human perceptions, and organizational practices in establishing trust in AI. By integrating these findings, the study proposes a novel conceptual model that elucidates how various elements collectively influence consumer trust in AI. This model not only advances theoretical understanding but also offers practical implications for businesses and policymakers. The research contributes to the discourse on trust creation and decision-making in technology, emphasizing the need for interdisciplinary efforts to address societal challenges associated with technological advancements. It lays the groundwork for future research, including longitudinal, cross-cultural, and industry-specific studies, to further explore consumer trust in AI.展开更多
The ideal model of human rights law studies shall be one that is open and comprehensive. On the basis of normative legal studies, it shall pay more attention to and respond to political, economic, and social developme...The ideal model of human rights law studies shall be one that is open and comprehensive. On the basis of normative legal studies, it shall pay more attention to and respond to political, economic, and social development in a wide range of human rights issues. These studies should attempt to find practical solutions to concrete problems. Human rights law should be a relatively independent legal discipline, and it should be a problem-oriented object of study. Regarding the research methodologies, human rights law could encompass all aspects of legal studies, and go beyond legal them to some extent to encompass the influence of other disciplines.展开更多
To comprehensively understand the Arctic and Antarctic upper atmosphere, it is often crucial to analyze various data that are obtained from many regions. Infrastructure that promotes such interdisciplinary studies on ...To comprehensively understand the Arctic and Antarctic upper atmosphere, it is often crucial to analyze various data that are obtained from many regions. Infrastructure that promotes such interdisciplinary studies on the upper atmosphere has been developed by a Japanese inter-university project called the Inter-university Upper atmosphere Global Observation Network （1UGONET）. The objective of this paper is to describe the infrastructure and tools developed by IUGONET. We focus on the data analysis software. It is written in Interactive Data Language （IDL） and is a plug-in for the THEMIS Data Analysis Software suite （TDAS）, which is a set of IDL libraries used to visualize and analyze satellite- and ground-based data. We present plots of upper atmospheric data provided by IUGONET as examples of applications, and verify the usefulness of the software in the study of polar science. We discuss IUGONET＇s new and unique developments, i.e., an executable file of TDAS that can run on the IDL Virtual Machine, IDL routines to retrieve metadata from the IUGONET database, and an archive of 3-D simulation data that uses the Common Data Format so that it can easily be used with TDAS.展开更多
Sally Shuttleworth is Professor of English and former Head of the Humanities Division at the University of Oxford and a Fellow of the British Academy(FBA). In 2021, she was included in The Queens' s Birthday Honou...Sally Shuttleworth is Professor of English and former Head of the Humanities Division at the University of Oxford and a Fellow of the British Academy(FBA). In 2021, she was included in The Queens' s Birthday Honours List and became a Commander of the Order of the British Empire(CBE). She has published extensively on the interrelated study of Victorian literature and science, especially medicine and public health, including The Mind of the Child: Child Development in Literature, Science and Medicine, 1840-1900(2020) and Anxious Times: Medicine and Modernity in Nineteenth-Century Britain(2019). In this interview, which was conducted during the interviewer's visit at the University of Oxford in early 2023, Prof. Shuttleworth discusses several major issues concerning the interdisciplinary study of “literature-medicine”: the borders of this field, the rise of Health Humanities, women's writings and healthcare, and the mission of humanists in the post-epidemic period.展开更多
文摘The CAS Center for Interdisciplinary Studies of Social and Natural Sciences was officially established on September 20 in Beijing. At the opening ceremony, CAS President Lu Yongxiang pointed out that the social and natural sciences are increasingly seeking new methodologies from each other
文摘In an era dominated by artificial intelligence (AI), establishing customer confidence is crucial for the integration and acceptance of AI technologies. This interdisciplinary study examines factors influencing customer trust in AI systems through a mixed-methods approach, blending quantitative analysis with qualitative insights to create a comprehensive conceptual framework. Quantitatively, the study analyzes responses from 1248 participants using structural equation modeling (SEM), exploring interactions between technological factors like perceived usefulness and transparency, psychological factors including perceived risk and domain expertise, and organizational factors such as leadership support and ethical accountability. The results confirm the model, showing significant impacts of these factors on consumer trust and AI adoption attitudes. Qualitatively, the study includes 35 semi-structured interviews and five case studies, providing deeper insight into the dynamics shaping trust. Key themes identified include the necessity of explainability, domain competence, corporate culture, and stakeholder engagement in fostering trust. The qualitative findings complement the quantitative data, highlighting the complex interplay between technology capabilities, human perceptions, and organizational practices in establishing trust in AI. By integrating these findings, the study proposes a novel conceptual model that elucidates how various elements collectively influence consumer trust in AI. This model not only advances theoretical understanding but also offers practical implications for businesses and policymakers. The research contributes to the discourse on trust creation and decision-making in technology, emphasizing the need for interdisciplinary efforts to address societal challenges associated with technological advancements. It lays the groundwork for future research, including longitudinal, cross-cultural, and industry-specific studies, to further explore consumer trust in AI.
基金a periodical achievement of "Research on the Connotation and Effect of Article 51 of the Constitution of China"(Project No.13YJC820098)as a project of the Humanities and Social Sciences Youth Fund of Ministry of Education"Research on the Relationship between Citizenship and Social Solidarity"(Project No.KCFX023)as a youth project of the National Social Science Foundation
文摘The ideal model of human rights law studies shall be one that is open and comprehensive. On the basis of normative legal studies, it shall pay more attention to and respond to political, economic, and social development in a wide range of human rights issues. These studies should attempt to find practical solutions to concrete problems. Human rights law should be a relatively independent legal discipline, and it should be a problem-oriented object of study. Regarding the research methodologies, human rights law could encompass all aspects of legal studies, and go beyond legal them to some extent to encompass the influence of other disciplines.
基金supported by the Special Edu-cational Research Budget(Research Promotion)[FY2009]the Special Budget(Project)[FY2010 and later years]from the Ministry of Education,Culture,Sports,Science and Technology(MEXT),Japansupported by the GRENE Arctic Climate Change Research Project,Japan
文摘To comprehensively understand the Arctic and Antarctic upper atmosphere, it is often crucial to analyze various data that are obtained from many regions. Infrastructure that promotes such interdisciplinary studies on the upper atmosphere has been developed by a Japanese inter-university project called the Inter-university Upper atmosphere Global Observation Network （1UGONET）. The objective of this paper is to describe the infrastructure and tools developed by IUGONET. We focus on the data analysis software. It is written in Interactive Data Language （IDL） and is a plug-in for the THEMIS Data Analysis Software suite （TDAS）, which is a set of IDL libraries used to visualize and analyze satellite- and ground-based data. We present plots of upper atmospheric data provided by IUGONET as examples of applications, and verify the usefulness of the software in the study of polar science. We discuss IUGONET＇s new and unique developments, i.e., an executable file of TDAS that can run on the IDL Virtual Machine, IDL routines to retrieve metadata from the IUGONET database, and an archive of 3-D simulation data that uses the Common Data Format so that it can easily be used with TDAS.
文摘Sally Shuttleworth is Professor of English and former Head of the Humanities Division at the University of Oxford and a Fellow of the British Academy(FBA). In 2021, she was included in The Queens' s Birthday Honours List and became a Commander of the Order of the British Empire(CBE). She has published extensively on the interrelated study of Victorian literature and science, especially medicine and public health, including The Mind of the Child: Child Development in Literature, Science and Medicine, 1840-1900(2020) and Anxious Times: Medicine and Modernity in Nineteenth-Century Britain(2019). In this interview, which was conducted during the interviewer's visit at the University of Oxford in early 2023, Prof. Shuttleworth discusses several major issues concerning the interdisciplinary study of “literature-medicine”: the borders of this field, the rise of Health Humanities, women's writings and healthcare, and the mission of humanists in the post-epidemic period.
