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23 results for “RRI”
Animation video on responsible research and innovation (RRI)
<p>This is a short animation video about responsible research and innovation. Watch it here: https://youtu.be/fOG5U2QweBo</p> <p>In research guided by responsible research and innovation (RRI), members of society work with scientists to align both the entire research process and its results with societal needs. The researcher and the research institute or research funder turn openly to citizens and involve the relevant societal actors in formulating research questions and collecting and analysing data. In RRI-guided research, scientists never forget to ask themselves: will our research do good to society and the Earth? What will its long-term social, ethical, and ecological consequences be? If a researcher or research-performing organisation integrates responsibility into their work, they will feel more useful and impactful in their profession, all in order to improve the lives of their fellow human and non-human beings. For this reason, it is important for researchers to reflect on their own organisational operations and change their daily routines. This is exactly what the Co-Change Project started to experiment with. In order to raise awareness of RRI, the project initiated ongoing deliberation within and beyond its own organisations through discussing ethics, gender, and open-science-related topics that engage all units that deal with research and innovation, as well as involving external experts and stakeholders in co-creating change.</p> <p> </p>
ETHNA Validation Survey on Drivers and Barriers of Responsible Research & Innovation (RRI)
<p>This entry includes the ETHNA Validation Survey on Drivers and Barriers of Responsible Research & Innovation (RRI) questions in PDF and the servey results in Excel. Ths survey was conducted by Centre for Social Innovation (ZSI) as part of the WP4 of the European ETHNA System project. The survey explores potential good RRI practices and possible measures to gauge the RRI institutionalisation progress at research-performing organisations.</p> <p>The online survey was sent in October 2021 to a broad group (10.000+) of potentially relevant expert stakeholders identified through a Web of Science database search with the aim of assessing the relevance of the identified drivers, barriers and good practices of RRI institutionalisation. Altogether 888 responses were received from 69 countries with a balanced gender representation, involving the opinion of mostly senior experts (55% having more than 15 years of experience). After filling out general demographic and organisational information, the respondents rated the perceived relevance of the RRI incentives, barriers and good practices that were the highest ranked at the end of the second consultation phase (using a Likert scale of 1-10). </p>
Global indicators framework for socially responsible research and innovation (RRI): How to monitor public and researcher perspectives (Supplemental material)
<p>This data upload provides a detailed account of indicators that can be used to measure RRI progress around the world against the UNESCO Recommendation for Science and Scientific Researchers at the level of individual researchers and public opinion. This data upload provides supplemental material for an article in Open Research Europe entitled, 'Global indicators framework for socially responsible research and innovation (RRI): How to monitor public and researcher perspectives'.</p> <p>Abstract for main article:</p> <p>As calls for more socially responsible research and innovation (RRI) policies and practices grow more insistent, the need for high quality indicators that can be used to evaluate progress is becoming increasingly important. Given the global nature of science, such indicators need to be relevant to countries across all world regions. Moreover, the methodological quality of indicators is critical to provide a strong foundation for long-term comparative measurement of the impacts of different kinds of policy intervention. There is a practical challenge in this effort relating to the uneven mechanisms for data collection and analysis available in different countries. There is also a geopolitical challenge in gaining buy-in from countries with very different, and sometimes competing, agendas. Here, the 2017 UNESCO-led Recommendation on Science and Scientific Researchers is highlighted as an existing vehicle that can enable cooperation on globally comparative measurement of socially responsible research and innovation. In particular, the quadrennial monitoring of the implementation of this wide-ranging global policy instrument that has been ratified by 195 countries affords a unique opportunity to add value for these countries by linking RRI to the 2017 Recommendation while establishing benchmark indicators for RRI more generally. As a practical and methodological contribution to the global community of science and innovation policymakers, researchers and research and innovation stakeholders committed to socially responsible research, this report contains specific, detailed survey questions and response options focusing on the public opinion and individual researchers’ level of measurement. It provides details of sources of benchmark survey data that have readily available open data that can be used to benchmark the development of socially responsible research and innovation over time from the vantage points of the public and researchers around the world. The aim of this kind of indicators framework is to enable evidence-based practice in socially responsible research and innovation. Robust and practical RRI measurement on a global scale can reduce the risk that well-intentioned but ill-conceived RRI policy and practice interventions create undetected, unchecked, and unreformed negative impacts in practice.</p>
SUPER MoRRI - Secondary datasets for RRI indicators
<p>This file lists the secondary data that was compiled and produced as part of the Horizon 2020 SUPER MoRRI project (Scientific understanding and provision of an enhanced and robust monitoring system for RRI).</p> <p>The data is contained in the file: “SUPER_MoRRI secondary data.xls”</p> <p>Descriptions of each variable can be found in “Appendix A – Secondary Data Fiches” in <br>SUPER MoRRI Deliverable 2.3: Second Responsible Research and Innovation Monitoring Report (MR2)</p> <p>In the excel file, data for each variable is included in a separate sheet. The list below links each sheet name with the variables (see the data fiches in SUPER MoRRI Deliverable 2.3 for detailed information on each variable)</p> <p>Sheet name: Sh_Fem_Res All sectors; Variable: Share of female researchers by sectors of performance (all sectors)<br>Sheet name: Sh_Fem_Res Business; Variable: Share of female researchers by sectors of performance (business enterprise sector<br>Sheet name: Sh_Fem_Res Higher education; Variable: Share of female researchers by sectors of performance (higher education sector)<br>Sheet name: Sh_Fem_Res Government; Variable: Share of female researchers by sectors of performance (government sector)<br>Sheet name: IntraRD per inhabitant; Variable: Intramural R&D expenditure per inhabitant<br>Sheet name: IntraRD percent GDP; Variable: Intramural R&D expenditure as a percentage of GDP<br>Sheet name: EPO patent applications; Variable: Patent applications to the EPO by priority year per million inhabitants <br>Sheet name: Glass Ceiling Index; Variable: The Glass Ceiling Index<br>Sheet name: Diss index, Higher education; Variable: Dissimilarity Index (higher education sector)<br>Sheet name: Diss index, Government; Variable: Dissimilarity Index (government sector)<br>Sheet name: Gender dimension in research ; Variable: Percentage of publications with a sex or gender dimension <br>Sheet name: Gender pay gap; Variable: Gender pay gap within scientific research & development <br>Sheet name: WtM, Inventorships; Variable: The women to men ratio in number of inventorships<br>Sheet name: WtM, Auhtorship ; Variable: The women to men ratio in number of corresponding authorships<br>Sheet name: Interest scientific discoveries; Variable: Interest in scientific discoveries <br>Sheet name: Feeling science efficacy ; Variable: Feeling of science efficacy<br>Sheet name: Variable: Scientific literacy <br>Sheet name: Variable: Trust in scientists <br>Sheet name: Engagement meetings debates; Variable: Engagement and co-creation (meetings and debates)<br>Sheet name: Engagement demonstrations ; Variable: Engagement and co-creation (petitions and demonstrations)<br>Sheet name: OA, All pubs; Variable: Percentage of open access publications <br>Sheet name: OA, Green pubs; Variable: Percentage of open access publications (Green)<br>Sheet name: OA, Gold pubs; Variable: Percentage of open access publications (Gold)<br>Sheet name: OA, Hybrid pubs; Variable: Percentage of open access publications (Hybrid)<br>Sheet name: OA, Bronze pubs; Variable: Percentage of open access publications (Bronze)<br>Sheet name: Industry Collaboration; Variable: Percentage of co-publications with industry</p>
Expert-based literature review on RRI indicators for science education assessment: PERFORM analysis matrix
<p>The document contains the main variables and categories of analysis of the expert-based literature review conducted as part of the assessment impact developed in the PERFORM project. This literature review globally aimed to identify and characterize assessment frameworks used in the context of science learning and engagement with young people. Specifically, it examined the operationalization of: i) RRI values and process requirements, ii) transversal competences, iii) experiential aspects, and iv) cognitive aspects. In doing that assessment gaps and challenges where identified relevant to the context of PERFORM and, more broadly, to the development of science education assessments incorporating the RRI dimension. By assessment framework we refer to a set of interlinked criteria, practices and concepts providing a systematic way of data collection, analysis and interpretation to the study of science learning and engagement. The template for data collection was organised in different sections approaching the following specific review questions and sub-questions:</p> <ol> <li><em>What assessment frameworks can be identified in the selected sample?</em> <ol> <li>On which disciplines are they based?</li> <li>What is being assessed in these frameworks?</li> <li>How it is the evaluation conducted?</li> <li>What are the challenges of each approach for assessing science learning and engagement?</li> </ol> </li> <li><em>How are transversal competences, RRI and emotional factors included in these frameworks?</em> <ol> <li>How are these notions operationalised?</li> <li>What kinds of evaluation indicators are applied for data collection, if any?</li> </ol> </li> </ol>
Responsible Research and Innovation (RRI) at an Institutional Level
<p>This is a short animation film about responsible research and innovation (RRI). The video shows why it is important for researchers, research institutes to build relationships with society and how to integrate this into their institutional operations. The video was created by the Co-Change Project which supports the implementation of institutional change among research and innovation actors in the areas of <em>research ethics, open science, science education, gender equality, and sustainability</em>.</p> <p>On Youtube you find it here: https://www.youtube.com/watch?v=fOG5U2QweBo</p>
TRANSFORM video - Introducing RRI into the governance of regional R&I
<p>TRANSFORM is a European project (under Horizon 2020) aiming at introducing citizen engagement practices into the governance of regional research and innovation (dealing in particular with Smart Specialisation Strategies – S3) in three European territories: Lombardy (Italy), Catalonia (Spain), Brussels-Capital (Belgium). Under the common framework of Responsible Research and Innovation (RRI), each region runs pilot actions aimed at implementing open and inclusive processes that make local research and innovation priorities more connected to societal needs while generating socially acceptable solutions through the involvement of multiple stakeholders. Three methodologies are being tested: participatory research agenda setting, citizen science and design thinking for social innovation.</p> <p>This project has received funding from the European Union's Horizon2020 research and innovation programme under grant agreement No 872687. This video reflects only the authors' view. The European Research Executive Agency (REA) and the European Commission are not responsible for any use that may be made of the information it contains. This project has received funding from the European Union's Horizon2020 research and innovation programme under grant agreement No 872687. This video reflects only the authors' view. The European Research Executive Agency (REA) and the European Commission are not responsible for any use that may be made of the information it contains.</p>
TRANSFORM final conference: RRI and citizen engagement to open up regional R&I policymaking
<p>Three regions, three different approaches testing citizen and stakeholder engagement in regional R&I policy making... TRANSFORM partners from three regions - Catalonia, Brussels-Capital and Lombardy on their experiences, activities and impact beyond the project. The video was filmed during the TRANSFORM Final Conference which took place on 1 and 2 December in a hybrid format in Miland and online via Zoom. An opportunity to share project results and outcomes, learn and exchange with the RRI community.</p> <p>This project has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 872687. This video reflects only the authors' view. The European Research Executive Agency (REA) and the European Commission are not responsible for any use that may be made of the information it contains.</p>
PATTERN Survey Results on the perception of existing learning opportunities for reseachers on Open RRI
<p>From March to April 2023 PATTERN launched a Survey to explore the perception of and existing learning opportunities for reseachers on Open RRI.</p>
Reinforcing RRI project reviews
<p>Collection of reviews of 203 Responsible Research and Innovation (RRI) related projects. Short reviews on structured templates including objectives, key results, Reinforcing relevant approches and tools, and link to the project web-site for further information. Files named after reviewing organization and reviewed project (acronyms).</p>
Guía para la implementación de la RRI en tesis académicas
<p>Este archivo Excel está vinculado al artículo "Hacia una investigación sostenible: Implementación de Investigación e Innovación Responsable (RRI) en tesis doctorales y tesis finales de máster" <strong>disponible en</strong> <a title="Hacia una investigación sostenible: Implementación de Investigación e Innovación Responsable (RRI) en tesis doctorales y tesis finales de máster" href="https://doi.org/10.5281/zenodo.12542908" target="_blank" rel="noopener">https://doi.org/10.5281/zenodo.12542908</a>, que aborda la integración de los principios de la RRI en la investigación académica avanzada. La RRI es esencial para asegurar que la investigación científica y la innovación tecnológica se alineen con los valores y necesidades de la sociedad, promoviendo resultados éticamente aceptables, sostenibles y socialmente deseables. El artículo destaca que la RRI se ha convertido en una piedra angular de las políticas de investigación e innovación en Europa, especialmente a través de programas como Horizonte 2020 y Horizonte Europa, que han formalizado estos principios en sus agendas. La historia de la RRI se remonta a los programas ELSA y ELSI, desarrollados en los años 80 para abordar las preocupaciones éticas del Proyecto Genoma Humano. La evolución de estos programas ha llevado a una mayor inclusión de diversas disciplinas y sectores, culminando en una estructura de seis dimensiones clave: participación pública, igualdad de género, educación científica, acceso abierto, ética y gobernanza.</p> <p>Este archivo tiene la finalidad de facilitar la correcta aplicación de las dimensiones y agendas políticas de la RRI en las tesis académicas, guiando la investigación hacia contribuciones significativas en términos de sostenibilidad y responsabilidad social. El documento incluye material sobre la <strong>aplicación de las dimensiones de la RRI en tesis académicas, la aplicación de las agendas políticas de la RRI en tesis académicas, y una sección con las definiciones de términos clave</strong>. Este recurso complementa el artículo, facilitando la identificación de conexiones clave y permitiendo una comprensión más profunda de cómo aplicar la RRI en la investigación académica. Este recurso de datos, en constante revisión, se actualizará regularmente. Se recomienda consultar la versión más actualizada al utilizarlo y citarlo. Al ser un documento editable, facilita la adaptación y personalización de la información según las necesidades específicas de cada contexto educativo. </p>
Help wanted identifying hams in Swarm-E (e-POP) RRI data
<p>In the spirit of making data from the <a href="https://epop.phys.ucalgary.ca/rri/">Radio Receiver Instrument (RRI)</a> onboard <a href="http://www.esa.int/Our_Activities/Observing_the_Earth/Swarm/Swarm_trio_becomes_a_quartet">Swarm-E</a> (formally known as <a href="https://epop.phys.ucalgary.ca/">e-POP</a>) more accessible to the ham radio community via the Ham Radio Science Citizen Investigation (<a href="http://hamsci.org/about-hamsci">HamSCI</a>), we have converted RRI's data into a ".raw" format so that it can be ingested into open source software such as <a href="http://gqrx.dk/">Gqrx</a> or <a href="https://www.gnuradio.org/">GNU Radio</a>. We have done this for all RRI data related to the 2015, 2017, and 2018 ARRL Field Days.</p> <p>We encourage everyone to help us identify hams in RRI's signal. You can use the Gqrx tool discussed here, or you can use your own technique. If you decode a ham's call sign, if you would like to share your technique, or if you have any comments or suggestion <a href="mailto:perry@phys.ucalgary.ca?subject=HamSCI%3A%20RRI%20ARRL%20%22raw%22%20data%20dump">contact us</a> and let us know! </p> <p><strong>Data Rules of the Road</strong></p> <p>Please acknowledge the HamSCI project and Gareth Perry when using data from this archive in presentations and publications.</p> <p><strong>Swarm-E RRI</strong></p> <p>Swarm-E RRI is a digital radio receiver with 4 3-m monopole antennas. In most cases, the monopoles are electronically configured into a crossed-diople configuration. In this configuration, RRI records I/Q samples for the two dipoles. RRI has a sampling rate of 62500.33933 Hz, and a ~40 kHz bandpass, and can be tuned to anywhere between 10 Hz and 18 MHz. More information on Swarm-E RRI can be found in the <a href="https://link.springer.com/article/10.1007/s11214-014-0130-y">Swarm-E RRI instrument paper</a> or Gareth Perry's recent <a href="http://hamsci.org/article/field-day-cassiope-2015-results-published-radio-science">Radio Science article</a>.</p> <p><strong>Data Format</strong></p> <p>Each data file contains raw 32 bit complex I/Q samples for a given RRI dipole at a given frequency. The samples are interleaved, e.g., IQIQIQIQ... The data files do not contain any metadata. Any information regarding the time, frequency, and corresponding RRI dipole is in the file name. </p> <p><strong>Filename Format</strong></p> <p>The filename format gives information about the time and data of the recording, the tuned frequency, and which of RRI's dipoles the recording corresponds too. For example, <em>gqrx_20150628_011614_3525000_62500_RRI_Dipole1 </em>contains data recorded on Dipole 1, starting at 01:16:14 UT on June 28, 2015, at 3525000 Hz (3.525 MHz), at a sampling rate of 62500 Hz (RRI's 62500.33933 Hz sampling rate).</p> <p><strong>Gqrx</strong></p> <p>We have opted to convert the data into the .raw format so that it can be ingested into <a href="http://gqrx.dk/">Gqrx</a>. There are other ways of analyzing RRI's data; this is just one way which we felt was as easy first step. We are open to posting about other techniques on the HamSCI site as well. To help get started with Gqrx, we have developed a <a href="http://hamsci.org/resource/how-play-rri-raw-iq-file-gqrx"><em>How to play an RRI raw IQ file on Gqrx</em></a> page.</p>
Factors hampering and facilitating RRI: finds from the analysis of data from four H2020 SwafS CSAs
<p>List of finds regarding factors that facilitate or hamper RRI-oriented change derived from the analysis of data from four relevant H2020 SwafS CSAs, namely GRACE, FIT4RRI, Starbios2, and Resbios</p>
Factors hampering and facilitating RRI: finds from the analysis of data from four H2020 SwafS CSAs
<p>List of finds regarding factors that facilitate or hamper RRI-oriented change derived from the analysis of data from four relevant H2020 SwafS CSAs, namely GRACE, FIT4RRI, Starbios2, and Resbios</p>
Factors hampering and facilitating RRI: finds from the analysis of data from four H2020 SwafS CSAs
<p>List of finds regarding factors that facilitate or hamper RRI-oriented change derived from the analysis of data from four relevant H2020 SwafS CSAs, namely GRACE, FIT4RRI, Starbios2, and Resbios</p>
PEEP-induced Changed in RRI as Physiological Background of Ventilator-induced Kidney Injury
ClinicalTrials.gov study NCT03969914. IPD Sharing: YES. Countries: 1. Publications: 1.
RRI framework for the NextGenProteins - Societal Readiness Thinking Tool datasets
Open the record for dataset details and reuse information.
Jianzhong Qushi in Chronic RRI
ClinicalTrials.gov study NCT06837597. IPD Sharing: UNDECIDED. Countries: 0. Publications: 6.
RRI Compared With NephroCheckTM to Predict Acute Renal Failure After Cardiac Surgery.
ClinicalTrials.gov study NCT02325726. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Evaluation of Lactobacillus Reuteri DSM 17938 + Vitamin D3 in the Prevention of RRI in Paediatric Patients
ClinicalTrials.gov study NCT04408443. IPD Sharing: NO. Countries: 1. Publications: 0.
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