Formative assessment of inquiry skills for Responsible Research and Innovation using 3D Virtual Reality Glasses and Face Recognition

This paper examines the experience and views of learners on technological innovations with a novel pedagogical model to enhance formative online assessment of Responsible Research and Innovation (RRI) skills with e-authentication. The authors developed the OER “virtual classroom” app based on the famous “Bletchley Park” and also an activity for learners exploring this museum in pairs with individual assessment. Participants practiced RRI skills and shared their views about their VR experience in an e-assessment activity with e-authentication through the TeSLA face recognition system. Participants were students from the UK and Brazil. Our research questions include whether the 3DVRG activities in pairs in the same physical environment support peer-learning with assessment-in-context. Findings revealed that activities that enabled physical interactions in pairs enriched the virtual interactions in the museum. The combination of authentic scenario, interactive tasks and assessment-in-context helped learners acquire new information and connect with existing knowledge. These interactions enhanced the immersive learning experience, particularly for those who did not experienced sickness with 3DVRG. Three types of interactions with the virtual space, their peer and the topic respectively enabled the virtual, social and cognitive presence

Responsibility and Human Enhancement

The debate on human enhancement (HE), i.e. intentional effort to improve individuals\u2019 performance with the help of technical or biomedical interventions, has mainly centered on contrasting characterizations about either its moral legitimacy or technical plausibility, reaching an impasse. Looking for a way out of this stalemate, this collection of articles does not formulate prior standards to assess the desirability or legitimacy of enhancement, but explores some possible features for its responsible governance. Based on these assessments, the articles suggest possible approaches to systems design, regulation, and public engagement which can create conditions that allow for the the assumption and assignment of responsibility for HE and its ethical and social implications

Citizen Science and Open Data: a model for Invasive Alien Species in Europe

Invasive Alien Species (IAS) are a growing threat to Europe's biodiversity. The implementation of European Union Regulation on IAS can benefit from the involvement of the public in IAS recording and management through Citizen Science (CS) initiatives. Aiming to tackle issues related with the use of CS projects on IAS topics, a dedicated workshop titled “Citizen Science and Open Data: a model for Invasive Alien Species in Europe” was organized by the Joint Research Centre (JRC) and the European Cooperation in Science and Technology (COST Association). Fifty key stakeholders from all Europe, including two Members of the European Parliament, attended the workshop. With a clear focus on IAS, the workshop aimed at addressing the following issues: a) CS and policy, b) citizen engagement, and c) CS data management. Nine short presentations provided input on CS and IAS issues. Participants discussed specific topics in several round tables (“world café” style) and reported back their conclusions to the audience and full assembly moderated discussions. Overall, the workshop enabled the sharing of ideas, approaches and best practices regarding CS and IAS. Specific opportunities and pitfalls of using CS data in the whole policy cycle for IAS were recognized. Concerning the implementation of the IAS Regulation, CS data could complement official surveillance systems, and contribute to the early warning of the IAS of Union concern after appropriate validation by the Member States’ competent authorities. CS projects can additionally increase awareness and empower citizens. Attendees pointed out the importance for further public engagement in CS projects on IAS that demonstrate specific initiatives and approaches and analyze lessons learned from past experiences. In addition, the workshop noted that the data gathered from different CS projects on IAS are fragmented. It highlighted the need for using an open and accessible platform to upload data originating from CS sources or to mirror validated data into a single, easy-to-use web service, in line with the EU Open Science Strategic Priority. The workshop provided ten key recommendations of best practices for CS projects on IAS, addressed to researchers, policy makers and implementing authorities, indicating future research and policy directions and opportunities

Pedagogical approaches for e-assessment with authentication and authorship verification in Higher Education

Checking the identity of students and authorship of their online submissions is a major concern in Higher Education due to the increasing amount of plagiarism and cheating using the Internet. The literature on the effects of e-authentication systems for teaching staff is very limited because it is a novel procedure for them. A considerable gap is to understand teaching staff’ views regarding the use of e-authentication instruments and how they impact trust in e-assessment. This mixed-method study examines the concerns and practices of 108 teaching staff who used the TeSLA - Adaptive Trust-based e-Assessment System in six countries: UK, Spain, Netherlands, Bulgaria, Finland and Turkey. The findings revealed some technological, organisational and pedagogical issues related to accessibility, security, privacy and e-assessment design and feedback. Recommendations are to provide: a FAQ and an audit report with results, to raise awareness about data security and privacy, to develop policies and guidelines about fraud detection and prevention, e-assessment best practices and course team support

Responsible, Inclusive Innovation and the Nano-divide

Policy makers from around the world are trying to emulate successful innovation systems in order to support economic growth. At the same time, innovation governance systems are being put in place to ensure a better integration of stakeholder views into the research and development process. In Europe, one of the most prominent and newly emerging governance frameworks is called Responsible Research and Innovation (RRI). This article aims to substantiate the following points: (1) The concept of RRI and the concept of justice can be used to derive similar ethical positions on the nano-divide. (2) Given the ambitious policy aims of RRI (e.g. economic competitiveness enhancer), the concept may be better suited to push for ethical outcomes on access to nanotechnology and its products rather than debates based on justice issues alone. It may thus serve as a mediator concept between those who push solely for competitiveness considerations and those who push solely for justice considerations in nano-technology debates. (3) The descriptive, non-normative Systems of Innovation approaches (see below) should be linked into RRI debates to provide more evidence on whether the approach advocated to achieve responsible and ethical governance of research and innovation (R&I) can indeed deliver on competitiveness (in nano-technology and other fields)

Corporate Social Responsibility and Sustainable Development Goal 9

With the spread of neoliberalism, corporate social responsibility (CSR) and private governance have become integral parts of corporate behavior. This entry discusses the aspects of Goal 9 (industry, innovation, and infrastructure) of the United Nations Sustainable Development Goals (SDGs) in relation to CSR. Goal 9 emphasizes sustainability, resilience, and equity of corporations, industries, and other social and economic actors in the processes of innovation and advancement of infrastructures. Although the concept of CSR, which represents positive social and environmental influences of corporations, is not explicitly mentioned in Goal 9, it is an important mechanism in accomplishing the objectives of the goal

Application of the ANP to the prioritization of project stakeholders in the context of responsible research and innovation

[EN] This paper presents a methodology to assess the stakeholders¿ influence in a research project within the context of responsible research and innovation. The methodology is based on a combination of the multicriteria decision making technique analytic network process and the key areas of responsible research. The method allows ranking and ordering the project¿s stakeholders based on their influence upon its responsibility. The purpose of such an assessment is to help research teams to more efficiently devote their limited resources to stakeholder management. The procedure is applied to a case study of the Information and Communication Technology business sector. It is an ongoing project at an early phase of development. Influential stakeholders have been identified first, and have been further classified into groups based on their relative importance. The assessment of their influence has been based on up to 16 different criteria, mainly belonging to the framework of responsible research and innovation. In the case study, the most influential criterion was the Capability to promote public engagement, while Developers were found to be the stakeholders most contributing to the research project responsibility. However, as explained, this is a temporary situation, valid for the current project development situation. It may vary over time as criteria vary in weight and stakeholders vary in influence.The authors would like to thank to our anonymous referees for their constructive comments and suggestions that helped us to improve the quality of the paper. Also, to the “Bolívar Gana con Ciencia” program from the Gobernación de Bolívar (Colombia) for the financial support. For the same reason, the authors are grateful to the Spanish Agencia Estatal de Investigación for its support of the project Propuesta de Indicadores para Impulsar el Diseño de Una Política Orientada al Desarrollo de Investigación e Innovación Responsable en España (CSO2016-76828-R)Ligardo-Herrera, I.; Gómez-Navarro, T.; Gonzalez-Urango, H. (2018). Application of the ANP to the prioritization of project stakeholders in the context of responsible research and innovation. Central European Journal of Operations Research. 1-23. https://doi.org/10.1007/s10100-018-0573-4S123Akbari N, Irawan CA, Jones DF, Menachof D (2017) A multi-criteria port suitability assessment for developments in the offshore wind industry. Renew Energy 102:118–133. https://doi.org/10.1016/j.renene.2016.10.035Aragonés-Beltrán P, García-Melón M, Montesinos-Valera J (2017) How to assess stakeholders’ influence in project management? A proposal based on the analytic network process. Int J Proj Manag. https://doi.org/10.1016/j.ijproman.2017.01.001Barrios Ortiz MA, De Felice F, Negrete KP et al (2016) An AHP-topsis integrated model for selecting the most appropriate tomography equipment. Int J Inf Technol Decis Mak 15:861–885. https://doi.org/10.1142/S021962201640006XBhupendra KV, Sangle S (2017) What drives successful implementation of product stewardship strategy? The role of absorptive capability. Corp Soc Responsib Environ Manag 24:186–198. https://doi.org/10.1002/csr.1394Botero C, Pereira C, Tosic M, Manjarrez G (2015) Design of an index for monitoring the environmental quality of tourist beaches from a holistic approach. Ocean Coast Manag 108:65–73. https://doi.org/10.1016/j.ocecoaman.2014.07.017Brugha R (2000) Stakeholder analysis: a review. Health Policy Plan 15:239–246. https://doi.org/10.1093/heapol/15.3.239Burget M, Bardone E, Pedaste M (2017) Definitions and conceptual dimensions of responsible research and innovation: a literature review. Sci Eng Ethics. https://doi.org/10.1007/s11948-016-9782-1Caballero-Luque A, Aragonés-Beltrán P, García-Melón M, Dema-Pérez C (2010) Analysis of the alignment of Company goals to Web content using ANP. Int J Inf Technol Decis Mak 9:419–436. https://doi.org/10.1142/S0219622010003889Claudia K, Köppl A, Stagl S (2014) Towards an operational measurement of socio-ecological performance. Working Paper no 52Colin E, Ackermann F (1998) Making strategy: the journey of strategic management. SAGE Publications Ltd, LondonDahlsrud A (2006) How corporate social responsibility is defined: an analysis of 37 definitions. Corp Soc Responsib Environ Manag 13:1–13. https://doi.org/10.1002/csrde Jong IM, Kupper F, Broerse J (2016) Inclusive deliberation and action in emerging RRI practices: the case of neuroimaging in security management. J Responsib Innov 3:26–49. https://doi.org/10.1080/23299460.2015.1137752De Lopez T (2001) Stakeholder management for conservation projects: a case study of Ream National Park, Cambodia. J Environ Manag 28:47–60De Lotto R, Gazzola V, Gossenberg S et al (2016) Proposal to reduce natural risks: analytic network process to evaluate efficiency of city planning strategies. Springer, Cham, pp 650–664European Commission (2011) DG Research workshop on Responsible Research & Innovation in EuropeGeoghegan-Quinn M (2012) Responsible research and innovation. Europe’s ability to respond to societal challengesGörener A (2012) Comparing AHP and ANP: an application of strategic decisions making in a Manufacturing Company. Int J Bus Soc Sci 3:194–208Jaafari A, Najafi A, García-Melón M (2015) Decision-making for the selection of a best wood extraction method: an analytic network process approach. For Policy Econ 50:200–209. https://doi.org/10.1016/j.forpol.2014.09.010Koops BJ (2015) The concepts, approaches, and applications of responsible innovations: an introduction. In: Koops BJ, Oosterlaken I, Romijn H, Swierstra T, van den Hoven J (eds) Responsible innovation 2: concepts, approaches, and applications. Springer, Dordrecht, pp 1–15Ligardo-Herrera I, Gómez-Navarro T, Inigo EA, Blok V (2018) Addressing climate change in responsible research and innovation: recommendations for its operationalization. Sustainability 10:20. https://doi.org/10.3390/su10062012Lubberink R, Blok V, van Ophem J, Omta O (2017) Lessons for responsible innovation in the business context: a systematic literature review of responsible, social and sustainable innovation practices. Sustainability. https://doi.org/10.3390/su9050721Mitchell RK, Agle BR, Wood DJ (1997) Toward a theory of stakeholder identification and salience: defining the principle of who and what really. Acad Manag Rev 22:853–886. https://doi.org/10.5465/AMR.1997.9711022105Owen R, Bessant J, Heintz M (2013) Responsible innovation: managing the responsible emergence of science and innovation in society. Wiley, New YorkPeris J, García-Melón M, Gómez-Navarro T, Calabuig C (2013) Prioritizing local agenda 21 programmes using analytic network process: a Spanish case study. Sustain Dev 21:338–352. https://doi.org/10.1002/sd.514Ramzan N, Degenkolbe S, Witt W (2008) Evaluating and improving environmental performance of HC’s recovery system: a case study of distillation unit. Chem Eng J 140:201–213. https://doi.org/10.1016/j.cej.2007.09.042Rosso M, Bottero M, Pomarico S et al (2014) Integrating multicriteria evaluation and stakeholders analysis for assessing hydropower projects. Energy Policy 67:870–881. https://doi.org/10.1016/j.enpol.2013.12.007Saaty TL (1990) How to make a decision: the analytic hierarchy process. Eur J Oper Res 48:9–26. https://doi.org/10.1016/0377-2217(90)90057-ISaaty TL (1994) How to make a decision: the analytic hierarchy process. Interfaces (Providence) 24:19–43Saaty TL (2001) The analytic network process: decision making with dependence and feedback. RWS Publications, PittsburghSaaty TL (2005) Theory and applications of the analytic network process: decision making with benefits, opportunities, costs, and risks. The Analytic Hierarchy Process (AHP) and its generalization to dependence and feedback, the Analytic Network Process (ANP), are methods of relative measurement of tangibles and intangibles. Being able to derive such measurements is essential for making goSaaty TL (2008) Decision making with the analytic hierarchy process. Int J Serv Sci 1:83. https://doi.org/10.1504/IJSSCI.2008.017590Saaty TL, Peniwati K (2008) Group decision making : drawing out and reconciling differences. RWS Publications, PittsburghSangle S, Babu PR (2007) Evaluating sustainability practices in terms of stakeholders’ satisfaction. Int J Bus Gov Ethics 3:56. https://doi.org/10.1504/IJBGE.2007.011934Shiau TA, Chuen-Yu JK (2016) Developing an indicator system for measuring the social sustainability of offshore wind power farms. Sustainability. https://doi.org/10.3390/su8050470Šijanec M, Žarnić R, Šelih J (2009) Multicriterial sustainability assessment of residential buildings. Technol Econ Dev Econ 15:612–630. https://doi.org/10.3846/1392-8619.2009.15.612-630Sipahi S, Timor M (2010) The analytic hierarchy process and analytic network process: an overview of applications. Manag Decis 48:775–808. https://doi.org/10.1108/00251741011043920Sólnes J (2003) Environmental quality indexing of large industrial development alternatives using AHP. Environ Impact Assess Rev 23:283–303. https://doi.org/10.1016/S0195-9255(03)00004-0Stahl BC, Coeckelbergh M (2016) Ethics of healthcare robotics: towards responsible research and innovation. Rob Auton Syst 86:152–161. https://doi.org/10.1016/j.robot.2016.08.018Stilgoe J, Owen R, Macnaghten P (2013) Developing a framework for responsible innovation. Res Policy 42:1568–1580. https://doi.org/10.1016/j.respol.2013.05.008Strand R, Spaapen J, Bauer MW et al (2015) Indicators for promoting and monitoring responsible research and innovation report from the expert group on policy indicatorsVaidya OS, Kumar S (2006) Analytic hierarchy process: an overview of applications. Eur J Oper Res 169:1–29. https://doi.org/10.1016/j.ejor.2004.04.028van de Poel I, Asveld L, Flipse S et al (2017) Company strategies for responsible research and innovation (RRI): a conceptual model. Sustainability 9:2045. https://doi.org/10.3390/su9112045Von Schomberg R (2011) Prospects for technology assessment in a framework of responsible research and innovation. Tech abschätzen lehren Bild transdisziplinärer Methoden. https://doi.org/10.1007/978-3-531-93468-6_2Wu X, Cui P (2016) A study of the time-space evolution characteristics of urban-rural integration development in a mountainous area based on ESDA-GIS: the case of the Qinling-Daba mountains in China. Sustainability 8:1085. https://doi.org/10.3390/su8111085Yüksel I, Dagdeviren M (2007) Using the analytic network process (ANP) in a SWOT analysis—a case study for a textile firm. Inf Sci (NY) 177:3364–3382. https://doi.org/10.1016/j.ins.2007.01.00