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Prof. Rostam J NEUWIRTH, Department of Global Legal Studies, University of Macau, China

Rostam J NEUWIRTH教授,全球法律研究系,澳门大学,中国


Research Area: Global Law

研究领域:全球法律


Title:Legal Education in the Time of “Artificial Intelligence” and other Oxymora

标题:法律教育在“人工智能”和其他矛盾词的时代


Abstract:

Today, the future role of the lawyer and the legal profession is often seen being threatened by the advent and rapid development of technologies generally referred to as “artificial intelligence” (AI). In the future, AI, it is argued, may even replace major tasks handled by the legal profession or the lawyer as a whole. However, the concept of “artificial intelligence” was also qualified as an oxymoron, it is to say a word “in which apparently contradictory terms appear in conjunction”. This is because intelligence was, by nature, understood as human and opposed to artificial.

At the same time, it cannot be denied that recent decades have shown an unprecedented pace of scientific and technological innovation, which has driven economic globalisation and scientific progress. Moreover, these technologies have inaugurated an era, called the “Anthropocene”, that seems to provide vast opportunities but at the same time also put the entire planet and its human inhabitants under the threat of extinction. In this context, various additional disruptive technologies, such as AI, big data, nanotechnology or synthetic biology are seen converging, which together threaten to further undermine the present foundation of the law and its constructive role in the design of the future.

The increasing convergence and resulting complexity can be linked to the rise in oxymora and paradoxes, as apparently contradictory concepts, which may indicate the possibility of a cognitive revolution that may affect legal concepts, as well as legal practice and legal education in the future. Based on selected examples of oxymora, the present paper will discuss the implications of this rise of contradictory concepts in the realm of law and life, with a view of identifying the major challenges for legal education in particular and its broader ramifications for education in general.


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Associate Professor. Han-Teng Liao, School of Literature and Media Nanfang College of Sun Yat-sen University, China


Research Area: Internet research and methods; integration of quantitative and qualitative research methods; digital methods; social network analysis; web mining and analysis; API use and analysis; data visualization, etc

研究领域:互联网研究和方法; 整合定量和定性研究方法; 数字方法; 社交网络分析; 网络挖掘和分析; API使用和分析; 数据可视化等


Title:A Research Agenda for Social Data Science: Can Data Save the People and Planet?

标题:社会数据科学的研究议程:数据能拯救人类和地球吗?


Abstract:

Recent years have witnessed the growing field of social data science, with courses and degree programs (e.g. University of Oxford, University of Copenhagen, London School of Economics, etc.) that aim to bring new insights and innovations, especially stemming from the new possibilities and challenges in its data and methodology.  


The socio-technical systems surrounding us, ranging from social media, mobile phones, wearables, to Internet of Things, emit data. Such data can help advance human knolwedge and actions, with implications to policy makers, researchers, practitioners, and citizens. As the advancement of artificial intelligence (AI), machine learning, Big Data and data science has begun to disrupt many facets of everyday life, including both societal problems and social research, social data science matters to generate insights about us, the interactions among us, and the interactions between the planet and us.  Thus, data science as a whole has already expanded from its original root in stastistics and computer science to the field of natural sciences, but increasingly to the wider domains of social science, arts and humanities.


It is time to have an overview on the current research fronts of social science, arts and humanities, in relation to the advancement of AI, machine learning, and Big Data so that we can explore various research directions as fruital grounds to grow social data science. Based on a series of scientometric work conducted by the team that Dr. Han-Teng Liao leads, with more than 10,000 related articles, he will expand on the notion of "social data science for eco- and for-good interventions" with the key research, policy and strategy agenda on the central question: How can we design the sustainable future by digitally transforming socio-technical systems surrounding user interactions, thereby supporting wider socio-technical transitions to sustainability?


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Associate Professor. Goran Basic, Department of Pedagogy and Learning, Linnaeus University, Sweden

Goran Basic副教授,教育学系,林奈大学,瑞典


Research Area: Pedagogy, Sociology, Sociology of Education, Social Work, Criminology, Society, Treatment Pedagogics, Special Pedagogy

研究领域:教育学,社会学,教育社会学,社会工作,犯罪学,社会,治疗学,特殊教育学


Title:Expectations and variations in social pedagogical work: an analysis of narratives concerning work with unaccompanied young refugees with experiences of war in institutional care in Sweden

标题:社会教学工作的期望和变化:对与无人陪伴的年轻难民的工作经历的叙事分析


Abstract:

In this study, the stories told by the adolescents and the personnel in institutional care in Sweden are about everyday interactions that occur while the adolescents stay at the institution and how the personnel work with that category of clients. The analysis pays attention to details about war and post-war interactions and how a community’s moralisations can affect social pedagogical work with inclusion and integration into the community. From a Swedish perspective, it is easy to imagine that the war’s consequences are taking place ‘over there’, in a different country or another part of the world, at another time in place. It therefore becomes especially important to allow people with war experiences who are in Sweden to share and relate how the experiences are significant here and now. By allowing this sharing, knowledge is also created about how preconceptions, inequalities and discrimination can be faced and discouraged. This study shows how overlapping or parallel identifications of adolescents and personnel operate through a number of interactions where the individual claims or is assigned identity categories in various ways. Categories such as victim of war, student, homosexual, empathetic personnel, competent personnel and incompetent personnel are actualised in relation to the adolescents’ war experiences and institution placement. The interactive dynamic in the situation helps to create and re-create these categories. The study’s analysis observes individuals in a vulnerable and strenuous situation with the aim of highlighting their opinions, stories and terms. Adolescents with war experiences are at risk of being affected by stigmatisation and singled out in the community and for discrimination and unequal relationships because of their background and how it is treated in Sweden. Personnel who have been interviewed in the study note that the social climate impairs their work with inclusion and integration of that client category.



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Associate Professor. Yuliya Shamaeva, Head of the Department of the English Language, Faculty of Foreign Languages, Vasyl Karazin Kharkiv National University, Ukraine

Yuliya Shamaeva副教授,外国语学院英语系主任,哈尔科夫国立大学V. N.,乌克兰


Research Area: Linguistics, cognitive linguistics, ecolinguistics, psycholinguistics, linguoculturology, philosophy of language, literature, discourse studies, the English language and literature, French language and literature, psychology, methods of teaching foreign languages

研究领域:语言学,认知语言学,生态语言学,心理语言学,语言文化学,语言哲学,文学,话语研究,英语语言文学,法语语言文学,心理学,外语教学方法


Title:Multimodality of the category EMOTIONS in art discourse: a fractal semiotics perspective

标题:艺术话语中情绪类别的多模态:分形符号学视角


Abstract:

This speech focuses on revealing the ontological peculiarities of the multimodal nature of the verbally represented category EMOTIONS in the ecology of art discourse. On the grounds of philosophy of emotion, psychology of art, cognitive theories of emotion and B. Mandelbrot’s theory of fractals to complement the linguocognitive, cognitive-discursive and semiotics approaches, we elaborate an integrative evidence framework of the fractality of the category EMOTIONS in the circumflex of its conceptual components JOY, SADNESS, INTEREST, SURPRISE, ANGER, FEAR, DISGUST as natural fractals, actualized in modern art discourse in matrices of their conceptual features EXPERIENCE STIMULUS, APPRAISAL, EMERGENCE TIME, DIRECTION. A special emphasis has been laid on both the essence of art discourse, implying discourses on art and art as discourse, being an environment of conceptualizing and verbalizing aesthetic emotions, and on the role of the cognitive mechanisms of metaphors and metonymies in multimodal objectivizations of the category EMOTIONS fractals in discourses of visual arts and music (installations and tone painting). The relation between emotion, cognition, semiotics, art and language has been specified. As a result of the analysis based on the core multimodal research concepts of modes, semiotic resource, modal affordance and intersemiotic relations we have found out that verbalized category EMOTIONS conceptual ingredients are anchored in art perception, acquiring their fractal representation in clusters of modalities. The latter comprise the alethic, deontic, axiological, temporal, spatial, epistemic ones, getting recursively realized verbally, visually, aurally, linked with synesthesia, including chromesthesia, ideasthesia, spatial sequence, triggered by conceptualized and verbalized feeling experience response. With this work we demonstrate the value of fractal semiotics approach as a heuristic device to study multimodal categories. 



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