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Responsible research and innovation training programmes:implementation and evaluation of the HEIRRI project

Forensic Sciences research 2021年第3期6卷 320-330页

作者： Ružica Tokalić Ivan Buljan Niels Mejlgaard Mar Carrió Alexander Lang Gema Revuelta Ana Marušić HEIRRI Consortium Department of research in Biomedicine and health University of split school of Medicinesplitcroatia Danish centre for studies in research and research Policy Department of Political scienceaarhus UniversityaarhusDenmark health sciences education research Group Department of experimental and health sciencesPompeu Fabra UniversityBarcelonaspain Techno-science&societal Transformation research Group institut für höhere studien-institute for advanced studies(i)Viennaaustria estudies centre on science communication and societyDepartment of experimental and health sciencesPompeu Fabra UniversityBarcelonaspain

Responsible research and innovation,or RRI,is a concept that aims to bring together society and science for a better future.There are six key elements of RRI:public engagement,gender equality,science education,open access,ethics and governance.Higher Education Institutions and Responsible research and innovation(HEIRRI)project aimed to bring the concept of RRI into the educational system.Using state-of-the-art review of good practices,HEIRRI team developed 10 training programmes on RRI for different higher education institution educational levels,including a summer school and a massive open online course(MOOC).We conducted pilot of the trainings and evaluated participants’experiences.Satisfaction with HEIRRI training programmes on Responsible research and innovation was high,both for participants and for the trainers,and trainings raised awareness of RRI.Participants’feedback was used to identify areas that need improvement and provided for recommendations for final versions of the HEIRRI training programmes.In order to equip researchers with skills to recognize and apply RRI values,RRI should be included in their education.HEIRRI training is suitable for a range of different disciplines,including forensic science,and is free to use and adjust for specific contexts(available from:https://rri-tools.eu/heirri-training-programmes).

关键词： research integrity research ethics Responsible research and innovation responsibility societal inclusion higher education institutions RRI teaching

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Foundation and Evolution of Responsible research and innovation research:a Review Based on Bibliometrics

Foundation and Evolution of Responsible Research and Innovat...

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作者： Zhengwei Wang Hongmei Yang Library of North China University of Technology

Usingthe bibliometric citation and content analysis approach,this paper analyzes the key structure and the relationship over 34 core articles in RRI research which were published on "web of science" in the past 30 years,on the topic of "Responsible research and innovation".The evolution and development of RRI research are determined.Through the author’s key words,four hot topics of RRI research are determined.The results show that the research of RRI framework is the core content of RRI research.The research on the concept and definition of RRI,the application and analysis of RRI in emerging technology,and the relationship between RRI and other related theories are the hot research contents in the core literature of RRI research.

关键词： Responsible research and innovation responsible innovation RRI RI Review Bibliometrics Knowledge Graph

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面向真实社会的实验：负责任创新的微观解读

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科学技术哲学 2018年第11期 51-56页

作者：和鸿鹏刘玉强

近年来负责任创新成为科技创新管理的热点话题，但是究竟如何落实负责任创新仍需在微观层面进一步探讨。本文从实验概念出发，以科学实践哲学为理论支撑，从实验角度讨论推动负责任创新的路径。研究首先剖析了传统实验面临的问题，提出... 详细信息

近年来负责任创新成为科技创新管理的热点话题，但是究竟如何落实负责任创新仍需在微观层面进一步探讨。本文从实验概念出发，以科学实践哲学为理论支撑，从实验角度讨论推动负责任创新的路径。研究首先剖析了传统实验面临的问题，提出构建面向真实社会的实验(以下简称“真实社会实验”)的必要性，然后从实验的目标、过程和结果三个方面剖析了构建真实社会实验的方法，进而以美国AIDS运动为案例，阐释了真实社会实验的实践探索，最后，进一步比较了本文提出的真实社会实验与传统实验、社会实验等概念之间的区别。真实社会实验以实用性为目标，为科学更好地嵌入社会，实现负责任创新提供有益启发。

关键词：负责任创新真实社会实验科学实践哲学 Responsible research and innovation Experiments for Real Society Philosophy of Scientific Practice

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Exploring the social,ethical,legal,and responsibility dimensions of artificial intelligence for health-a new column in Intelligent Medicine

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Intelligent Medicine 2022年第2期2卷 103-109页

作者： Achim Rosemann Xinqing Zhang Centre for Computing and Social Responsibility De Montfort UniversityLeicesterUnited Kingdom Department of Sociology Philosophy and AnthropologyUniversity of ExeterUnited Kingdom School of Humanities and Social Sciences Peking Union Medical College&Chinese Academy of Medical SciencesBeijing 100005China

This essay is the starting point of a new column in Intelligent Medicine that invites interdisciplinary perspectives on the social,ethical,legal,and responsibility aspects of the use of artificial intelligence(AI)in medicine and health care.Papers in this column will examine the practical,conceptual,and policy dimensions of the use of AI for health-related purposes from comparative and international perspectives.We invite contributions from around the world in all application areas of AI for health,including health care,health research,drug development,health care system management,as well as public health and public health surveillance.The column aims to provide a forum for reflective and critical scholarship that contributes to the ongoing academic and policy debates about the development,use,governance,and implications of AI in medical and health care settings.To launch the column,we first provide an overview of recent approaches that have been developed to identify and address the effects and potential impacts of science and technology innovations on human societies and the environment.These include ethical,legal,and social implications/aspects(ELSI/A)research,Responsible research and innovation(RRI),sustainability transitions research,and the use of international standard-setting instruments for responsible and open science issued by the United Nations Educational,Scientific,and Cultural Organization(UNESCO),the World Health Organization(WHO),and other international bodies.In Part Two of this essay,we discuss some of the central challenges that arise with regard to the integration of AI and big data analytics in medical and health care settings.This includes concerns regarding(i)the control,reliability,and trustworthiness of AI systems,(ii)privacy and surveillance,(iii)the impact of AI and automation on health care staffemployment and the nature of clinical work,(iv)the effects of AI on health inequalities,justice,and access to medical care,and(v)challenges related to regulation and governance.We end the ess

关键词： Artificial intelligence Health Ethical,legal and social implications Responsible research and innovation Global ethics Governance of emerging technologies

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