Creative Commons License Research Articles

Copyright policies of science and engineering open access journals indexed in Science Citation Index Expanded or Scopus, published by Korean academic societies: a case study

This article explores the challenges related to copyright policies in the context of science and engineering open access (OA) journals based in Korea. The English-language science and engineering OA journals published independently by Korean academic societies typically exhibit three common characteristics regarding their copyright and licensing policies. First, authors are generally required to transfer their copyrights. Second, the Creative Commons (CC) license terms are predominantly BY-NC (Attribution-NonCommercial), without providing authors the option to select alternative licensing terms. Third, the journals do not sufficiently protect the rights of the authors. From the analyses presented herein, it is evident that the current copyright and licensing policies of Korea’s English-language science and engineering OA journals lack a robust structure. These policies need to be revised to allow authors to retain copyright and require them to consent for the CC license terms it adopts, in order to align with the common practice among OA journals. Furthermore, to better protect authors’ rights, it would be beneficial to permit authors to choose the specific terms of the CC license for their articles.

KMSAV: Korean multi‐speaker spontaneous audiovisual dataset

AbstractRecent advances in deep learning for speech and visual recognition have accelerated the development of multimodal speech recognition, yielding many innovative results. We introduce a Korean audiovisual speech recognition corpus. This dataset comprises approximately 150 h of manually transcribed and annotated audiovisual data supplemented with additional 2000 h of untranscribed videos collected from YouTube under the Creative Commons License. The dataset is intended to be freely accessible for unrestricted research purposes. Along with the corpus, we propose an open‐source framework for automatic speech recognition (ASR) and audiovisual speech recognition (AVSR). We validate the effectiveness of the corpus with evaluations using state‐of‐the‐art ASR and AVSR techniques, capitalizing on both pretrained models and fine‐tuning processes. After fine‐tuning, ASR and AVSR achieve character error rates of 11.1% and 18.9%, respectively. This error difference highlights the need for improvement in AVSR techniques. We expect that our corpus will be an instrumental resource to support improvements in AVSR.

NEMESIS - EXAMPLE OF OPEN ACCESS JOURNAL PROMOTING NEGATIVE RESULTS IN SCHOLARLY PUBLICATIONS

Nemesis (Negative Effects in MEdical ScIenceS) is peer-reviewed, free, open-access scientific University-founded journal (UCLouvain, Belgium in 2018). Currently most of the scientific journals accept to publish only ”positive effects”of experimental and clinical research. Only successful studies have the right to be published and cited. However, positive effects in research are frequently achieved after years of negative results. The negative results should also be accessible for scientific community as they represent the main source of progress, of inspiration, and of hope. In the open access journal all content is freely available without charge to the user or his/her institution. Users are allowed to read, download, copy, distribute, print, search, or link to the full texts of the articles, or use them for any other lawful purpose, without asking prior permission from the publisher or the author. There are no charges for authors neither for readers. Nemesis is using creative common license CC-BY-SA. The peer-review is performed by the Editorial Board. Nemesis accepts for publication: original contribution in the field of oral and craniomaxillofacial surgery, three-dimensional cone beam computed tomography (CBCT) dentomaxillofacial imaging, and physical anthropology and archaeology around the head. The first scope of Nemesis is to accept studies providing with negative results obtained after applying a correct methodology. Nemesis journal accepts also studies describing complications and their management, the worst cases, diagnostic and treatment failures, devices and implants failures, orphan diseases, neglected areas of research related to our journal scope, drugs adverse effects, technical problems, relapse and failures in oral and maxillofacial surgery. Nemesis is opened to multilingualism and provides translations of original articles in English and French into Polish and Ukrainian.

CropLife Europe Crop Development Database: An open-source, pan-European, harmonized crop development database for use in regulatory pesticide exposure modeling and risk assessment.

There is a regulatory need for crop development dates to assess current default values used within chemical exposure assessments as well as to justify refinements within risk assessments. However, a readily available pan-European crop phenology database covering key FOrum for the Co-ordination of pesticide fate models and their USe (FOCUS) crops and scenarios to meet this need is not currently available. Therefore, we describe the development of a harmonized, pan-European, CropLife Europe Crop Development Database (C2D2), that is fully aligned with this regulatory requirement utilizing efficacy trials data generated for regulatory submissions when registering plant protection products under Regulation (EU)1107/2009. Evaluation of C2D2 against an independent data set showed good agreement for equivalent time periods, crop growth stages, and geographical regions. We illustrate how this database can be used to evaluate existing default crop development dates mandated by regulatory agencies for use within exposure assessments. Despite the large data set compiled and the geographical coverage of C2D2, not all FOCUSsw/gw scenarios have sufficient data to facilitate comparison, with less significant scenarios, like FOCUSgw Porto, being underrepresented. For those scenarios with sufficient data, clear differences between C2D2 and crop development dates assumed in the FOCUS modeling framework (using the AppDate tool) are often indicated over many growth stages, suggesting that amendment of the existing representation of crop development within the risk assessment process may be required. C2D2 is freely available under a Creative Commons license to facilitate innovation in exposure science to allow for more accurate and realistic risk assessment leading to enhanced crop and environmental protection. Integr Environ Assess Manag 2024;20:1060-1074. © 2023 CropLife Europe (Corteva Agriscience) and The Authors. Integrated Environmental Assessment and Management published by Wiley Periodicals LLC on behalf of Society of Environmental Toxicology & Chemistry (SETAC).

Molecular Characterisation of Faecal Bacterial Assemblages Among Four Species of Syntopic Odonates

Factors such as host species, phylogeny, diet, and both timing and location of sampling are thought to influence the composition of gut-associated bacteria in insects. In this study, we compared the faecal-associated bacterial taxa for three Coenagrion and one Enallagma damselfly species. We expected high overlap in representation of bacterial taxa due to the shared ecology and diet of these species. Using metabarcoding based on the 16S rRNA gene, we identified 1513 sequence variants, representing distinct bacterial ‘taxa’. Intriguingly, the damselfly species showed somewhat different magnitudes of richness of ZOTUs, ranging from 480 to 914 ZOTUs. In total, 921 (or 60.8% of the 1513) distinct ZOTUs were non-shared, each found only in one species, and then most often in only a single individual. There was a surfeit of these non-shared incidental ZOTUs in the Enallagma species accounting for it showing the highest bacterial richness and accounting for a sample-wide pattern of more single-species ZOTUs than expected, based on comparisons to the null model. Future studies should address the extent to which faecal bacteria represent non-incidental gut bacteria and whether abundant and shared taxa are true gut symbionts.Graphical Pictures of odonates adopted from Norske Art databank under Creative Commons License (CC BY 4.0).

Addressing challenges in radiomics research: systematic review and repository of open-access cancer imaging datasets

ObjectivesOpen-access cancer imaging datasets have become integral for evaluating novel AI approaches in radiology. However, their use in quantitative analysis with radiomics features presents unique challenges, such as incomplete documentation, low visibility, non-uniform data formats, data inhomogeneity, and complex preprocessing. These issues may cause problems with reproducibility and standardization in radiomics studies.MethodsWe systematically reviewed imaging datasets with public copyright licenses, published up to March 2023 across four large online cancer imaging archives. We included only datasets with tomographic images (CT, MRI, or PET), segmentations, and clinical annotations, specifically identifying those suitable for radiomics research. Reproducible preprocessing and feature extraction were performed for each dataset to enable their easy reuse.ResultsWe discovered 29 datasets with corresponding segmentations and labels in the form of health outcomes, tumor pathology, staging, imaging-based scores, genetic markers, or repeated imaging. We compiled a repository encompassing 10,354 patients and 49,515 scans. Of the 29 datasets, 15 were licensed under Creative Commons licenses, allowing both non-commercial and commercial usage and redistribution, while others featured custom or restricted licenses. Studies spanned from the early 1990s to 2021, with the majority concluding after 2013. Seven different formats were used for the imaging data. Preprocessing and feature extraction were successfully performed for each dataset.ConclusionRadiomicsHub is a comprehensive public repository with radiomics features derived from a systematic review of public cancer imaging datasets. By converting all datasets to a standardized format and ensuring reproducible and traceable processing, RadiomicsHub addresses key reproducibility and standardization challenges in radiomics.Critical relevance statementThis study critically addresses the challenges associated with locating, preprocessing, and extracting quantitative features from open-access datasets, to facilitate more robust and reliable evaluations of radiomics models.Key points- Through a systematic review, we identified 29 cancer imaging datasets suitable for radiomics research.- A public repository with collection overview and radiomics features, encompassing 10,354 patients and 49,515 scans, was compiled.- Most datasets can be shared, used, and built upon freely under a Creative Commons license.- All 29 identified datasets have been converted into a common format to enable reproducible radiomics feature extraction.Graphical

Reusable educational resources for developing complex thinking on open platforms

AbstractIn the context of rapid technological advancements and the increasing availability of Open Educational Resources (OER), there is a growing need to foster complex thinking skills in higher education. The study aims to characterize OER platforms that facilitate the development of such skills, grounded in UNESCO’s recommendations and the evolving definitions of complex thinking. Utilizing a Systematic Literature Review (SLR), the research focuses on three key questions: the type of open license allowing 5R activities, the technical options based on the ALMS Framework, and the sub-competencies of complex thinking that can be nurtured through OER. The study identifies and categorizes key platforms conducive to the development of complex thinking skills, namely innovative, critical, scientific, and systemic thinking. These platforms are analyzed based on their licensing types and technical capabilities. Findings indicate that most of the platforms studied support 5R activities under Creative Commons licenses, require advanced editing skills, and more than half address multiple subcompetencies of complex thinking. The study concludes that the adaptation, reuse, and redistribution of OER can significantly contribute to fostering complex thinking skills, aligning educational practices with 21st-century demands. Recommendations include the development of frameworks by higher education institutions to normalize OER platforms and meet students’ needs, as well as future research to assess user behavior and sustainability of these platforms.

Developing authentic assessment through open educational practices

This Pecha Kucha presentation will showcase The Adaptable Resources for Teaching with Technology (ARTT) project journey, emphasising partnerships, open educational practices (OEP), and a collection of learning activities and authentic assessments. Background to the ARTT Collection In higher education, academics comprise both formally trained educators and those who rely on their own teaching practice. The latter often navigate through their experiences, relying on trial and error, intuition, and muddling through situations to articulate and justify their teaching choices (Echempati, 2023; Lund, 2016). While the teaching practices honed by experienced academics through years are highly valuable, they often remain overlooked and underutilised. This project seeks to address this void by providing a platform to share practices and resources in a collaborative and accessible way. What is ARTT? The Adaptable Resources for Teaching with Technology (ARTT) (LX.lab, 2023) collection was launched by LX.lab from The Institute for Interactive Media & Learning (IML) at the University of Technology Sydney (UTS) in 2019. ARTT’s focus is on enhancing student learning experiences through the pedagogically sound use of technology drawing on authentic teaching practices from within UTS and other higher educational institutions. Resources are developed into practical solutions that are easy to adapt by other educators in different teaching contexts. As an open collection, the resources within ARTT are accessible, reusable and adaptable by any academic seeking to enhance student learning experiences in a technology enhanced learning environment. How is ARTT collaborative? The ARTT collection has been collaboratively developed by a team of learning designers and curriculum developers, resulting in the capture of a diverse range of learning activities and assessments, all derived from high-quality teaching and learning designs. ARTT promotes diverse perspectives and innovative approaches to learning, fostering openness and empowerment among contributors. The complexities of education, particularly in the assessment sphere, have increased, emphasising the need to partner intentionally with students, academics, faculties, external industries, and communities to broaden the scope of these resources (Krause, 2023). This collaborative partnership, rooted in OEP, guarantees the preservation of authorship and upholds the integrity of the artefacts. How is ARTT used? The collection is hosted on the UTS website, comprising two distinct sections: learning activities and assessments. These resources are thoughtfully organised, commencing with clear objectives, followed by detailed, step-by-step implementation instructions for educators. Additionally, each resource provides estimated time commitments for both teachers and students, outlines the required technologies for effective implementation, and includes supporting evidence from the literature to validate its efficacy in teaching. Proper attribution to the original authors, in this instance, the dedicated academics and learning designers responsible for their development, is maintained, and the resources are made available under Creative Commons licenses. How is ARTT Future Focused? The COVID-19 pandemic disruption and advancements in Generative Artificial Intelligence (GenAI) have brought digital learning spaces and workplaces into sharper focus (McGuire & De Cremer, 2022). ARTT is an evolving collection continually adapts to changing needs and challenges in technology-enhanced learning. Our goal is to expand the selection of teaching and assessment resources through collaboration with new contributors. We endeavour to expand the ARTT collection through promoting it in learning and teaching forums. Future work will involve regular updates and iterations of the collection based on user feedback, emerging trends, and advancements in pedagogy and technology. Importantly, we aim for the collection to foster deeper partnerships, provide academics with a platform to share their teaching practices and offer open resources to enhance the student learning experience within and beyond our university.

The Virtual Navigation Toolbox: Providing tools for virtual navigation experiments.

Spatial navigation research in humans increasingly relies on experiments using virtual reality (VR) tools, which allow for the creation of highly flexible, and immersive study environments, that can react to participant interaction in real time. Despite the popularity of VR, tools simplifying the creation and data management of such experiments are rare and often restricted to a specific scope-limiting usability and comparability. To overcome those limitations, we introduce the Virtual Navigation Toolbox (VNT), a collection of interchangeable and independent tools for the development of spatial navigation VR experiments using the popular Unity game engine. The VNT's features are packaged in loosely coupled and reusable modules, facilitating convenient implementation of diverse experimental designs. Here, we depict how the VNT fulfils feature requirements of different VR environments and experiments, guiding through the implementation and execution of a showcase study using the toolbox. The presented showcase study reveals that homing performance in a classic triangle completion task is invariant to translation velocity of the participant's avatar, but highly sensitive to the number of landmarks. The VNT is freely available under a creative commons license, and we invite researchers to contribute, extending and improving tools using the provided repository.

Creating the HAPS Physiology Learning Outcomes: terminology, eponyms, inclusive language, core concepts, and skills.

Learning outcomes are an essential element in curriculum development because they describe what students should be able to do by the end of a course or program, and they provide a roadmap for designing assessments. This paper describes the development of competency-based learning outcomes for a one-semester undergraduate introductory human physiology course. Key elements in the development process included decisions about terminology, eponyms, use of the word "normal" and similar considerations for inclusivity. The outcomes are keyed to related physiology core concepts and to process skills that can be taught along with the content. The learning outcomes have been published under a Creative Commons license by the Human Anatomy and Physiology Society (HAPS) and are available free of charge on the HAPS website.

Legal Strategy for Intellectual Property Protection in the Era of Open-source and Creative Commons in Indonesia

This study navigates Indonesia's shifting IP protection landscape by examining the advantages and challenges of coexisting traditional IP regimes with open-source projects and Creative Commons license. In this age of collaborative innovation, the article focuses on legal strategies for adjusting to the dynamic interplay between proprietary and open models. This study employs a mixed-methods approach, combining legal analysis, case studies, interviews, and surveys, to explore the impact of open-source dynamics, provide flexible legal solutions, and highlight the benefits and drawbacks of existing intellectual property laws. The study's findings contribute to the ongoing discussion about establishing a harmonious atmosphere that fosters innovation while upholding the rights of those who create. The creative community, lawmakers, and companies can all benefit from the recommendations.

First Approximation of Population Distributions on the International Space Station

This paper presents an analysis of data derived from thousands of publicly available photographs showing life on the International Space Station (ISS) between 2000 and 2020. Our analysis uses crew and locational information from the photographs’ metadata to identify the distribution of different population groups—by gender, nationality, and space agency affiliation—across modules of the ISS, for the first time. Given the significance of the ISS as the most intensively inhabited space habitat to date, an international cooperative initiative involving 26 countries and five space agencies, and one of the most expensive building projects ever undertaken by humans, developing an understanding of which people are using different parts of the space station is critical for future usage of this and other stations. This study also sheds light on problems faced by future space station designers who are concerned with optimal usage of their habitats. The data from this investigation have been permanently deposited with Open Context. It is freely available for use under a Creative Commons license (CC BY 4.0) at https://doi.org/10.6078/M7668B9H.

Conserve the open media ecosystem! Legal and ethical considerations when using online repositories for AI training in ecological research.

Ecological researchers who train Artificial Intelligence models using digital media have to be cognizant of legal and ethical implications when sourcing such content from online repositories. The way forward? Complying with Creative Commons licensing requirements, obtaining consent from media creators and adhering to FAIR data principles. Collective action from researchers, repositories, licence providers, and legislators is needed to conserve this complex open media ecosystem. This way, we can continue to develop innovative applications to address pressing ecological issues while maintaining the trust of content creators and respecting the legal and ethical framework of online media use.

The power of progressive active learning in floorplan images for energy assessment

Floorplan energy assessments present a highly efficient method for evaluating the energy efficiency of residential properties without requiring physical presence. By employing computer modelling, an accurate determination of the building’s heat loss or gain can be achieved, enabling planners and homeowners to devise energy-efficient renovation or redevelopment plans. However, the creation of an AI model for floorplan element detection necessitates the manual annotation of a substantial collection of floorplans, which poses a daunting task. This paper introduces a novel active learning model designed to detect and annotate the primary elements within floorplan images, aiming to assist energy assessors in automating the analysis of such images–an inherently challenging problem due to the time-intensive nature of the annotation process. Our active learning approach initially trained on a set of 500 annotated images and progressively learned from a larger dataset comprising 4500 unlabelled images. This iterative process resulted in mean average precision score of 0.833, precision score of 0.972, and recall score of 0.950. We make our dataset publicly available under a Creative Commons license.

The Dysarthric Expressed Emotional Database (DEED): An audio-visual database in British English.

The Dysarthric Expressed Emotional Database (DEED) is a novel, parallel multimodal (audio-visual) database of dysarthric and typical emotional speech in British English which is a first of its kind. It is an induced (elicited) emotional database that includes speech recorded in the six basic emotions: "happiness", "sadness", "anger", "surprise", "fear", and "disgust". A "neutral" state has also been recorded as a baseline condition. The dysarthric speech part includes recordings from 4 speakers: one female speaker with dysarthria due to cerebral palsy and 3 speakers with dysarthria due to Parkinson's disease (2 female and 1 male). The typical speech part includes recordings from 21 typical speakers (9 female and 12 male). This paper describes the collection of the database, covering its design, development, technical information related to the data capture, and description of the data files and presents the validation methodology. The database was validated subjectively (human performance) and objectively (automatic recognition). The achieved results demonstrated that this database will be a valuable resource for understanding emotion communication by people with dysarthria and useful in the research field of dysarthric emotion classification. The database is freely available for research purposes under a Creative Commons licence at: https://sites.google.com/sheffield.ac.uk/deed.

Promoting Academic Integrity in Virtual Classrooms: A Gamified Approach

The sudden pivot to remote teaching in March 2020 highlighted new and emerging threats to academic integrity. While much of the world has returned to in-person delivery, in the classroom, remote teaching, and these associated threats to academic integrity, are here to stay. With the assistance of a Virtual Learning Strategy grant from eCampus Ontario, Seneca College and Toronto Metropolitan University have developed new gamified academic integrity modules for students designed to promote academic integrity in a virtual environment. The modules have been designed such that they apply to both college and university students and the code for the game is freely available under a Creative Commons License. In this presentation presenters will speak to how these modules were created as well provide a demonstration for all participants. By the end of this presentation attendees will be able to apply and adapt this resource to their own institution.

Critical strain method incorporating calculation of equivalent H-B strength parameters for back analysis during tunnel excavation

A comprehensive method is proposed for the continuous update of the design rockmass parameters during tunnel excavation coupled to novel calculation of the Hoek-Brown strength parameters for given Mohr-Coulomb ones. The method starts with the strength parameters of Mohr-Coulomb or Hoek-Brown criterion used at the design stage of tunnels, and then updates them by using the displacements measured during the excavation of tunnels. The update is performed based on a well established back analysis procedure that determines both cohesion C and internal friction angle φ of the Mohr-Coulomb criterion. Then, these parameters either directly update or are converted to equivalent Hoek-Brown parameters that update the original design parameters of the tunnel. The need arising for conversion of parameters during the back analysis is thus addressed: A method is developed for the evaluation of the equivalent Hoek-Brown parameters for an axisymmetric structure subjected to major principal initial stress p0 and supported by internal pressure pi. Four characteristic cases are analysed theoretically and numerically with a finite differences code and found to be in excellent agreement. The equivalent parameters solution is developed in Matlab source code under a creative commons license and greatly enables the automation of the update procedure.Based on the updated parameters, it is possible to continuously modify the original design of underground support structures, according to the results of back analysis of measured displacements. The modified strength parameters of the H-B criterion can also be used for assessing the stability of the tunnels for the next excavation stage of the tunnels.

Correction to: A Multicenter Double-Blind, Placebo-Controlled Trial of Escitalopram in Children and Adolescents with Generalized Anxiety Disorder, by Strawn et al. J Child Adolesc Psychopharmacol 2023;33(3):91–100; doi: 10.1089/cap.2023.0004

Journal of Child and Adolescent PsychopharmacologyVol. 33, No. 5 CorrectionOpen AccessCorrection to: A Multicenter Double-Blind, Placebo-Controlled Trial of Escitalopram in Children and Adolescents with Generalized Anxiety Disorder, by Strawn et al. J Child Adolesc Psychopharmacol 2023;33(3):91–100; doi: 10.1089/cap.2023.0004is erratum ofA Multicenter Double-Blind, Placebo-Controlled Trial of Escitalopram in Children and Adolescents with Generalized Anxiety DisorderPublished Online:16 Jun 2023https://doi.org/10.1089/cap.2023.0004.correxAboutSectionsPDF/EPUB Permissions & CitationsPermissionsDownload CitationsTrack CitationsAdd to favorites Back To Publication ShareShare onFacebookTwitterLinked InRedditEmail In the April 2023 issue of Journal of Child and Adolescent Psychopharmacology (vol. 33, no. 3; pp. 91–100) the article entitled “A Multicenter Double-Blind, Placebo-Controlled Trial of Escitalopram in Children and Adolescents with Generalized Anxiety Disorder” by Strawn et al. requires correction.This article was originally published under the copyright of Mary Ann Liebert, Inc. publishers. It has now been updated to reflect Open Access, with copyright transferring to the author(s), and a Creative Commons License (CC-BY) added (http://creativecommons.org/licenses/by/4.0). The CC-BY license goes into effect May 26, 2023.The online version of this article has been corrected to reflect this.FiguresReferencesRelatedDetailsRelated articlesA Multicenter Double-Blind, Placebo-Controlled Trial of Escitalopram in Children and Adolescents with Generalized Anxiety Disorder17 Apr 2023Journal of Child and Adolescent Psychopharmacology Volume 33Issue 5Jun 2023 InformationCopyright 2023, Mary Ann Liebert, Inc., publishersTo cite this article:Correction to: A Multicenter Double-Blind, Placebo-Controlled Trial of Escitalopram in Children and Adolescents with Generalized Anxiety Disorder, by Strawn et al. J Child Adolesc Psychopharmacol 2023;33(3):91–100; doi: 10.1089/cap.2023.0004.Journal of Child and Adolescent Psychopharmacology.Jun 2023.200-200.http://doi.org/10.1089/cap.2023.0004.correxcreative commons licensePublished in Volume: 33 Issue 5: June 16, 2023PDF download

Correction to: Religious Gerrymandering: A New Avenue for Redistricting Challenges? by Rosen Election Law Journal: Rules, Politics, and Policy 2023;22(1):45-66; doi: 10.1089/elj.2022.0021

Election Law Journal: Rules, Politics, and PolicyVol. 22, No. 2 CorrectionOpen AccessCorrection to: Religious Gerrymandering: A New Avenue for Redistricting Challenges? by Rosen Election Law Journal: Rules, Politics, and Policy 2023;22(1):45-66; doi: 10.1089/elj.2022.0021is erratum ofReligious Gerrymandering: A New Avenue for Redistricting Challenges?Published Online:16 Jun 2023https://doi.org/10.1089/elj.2022.0021.correxAboutSectionsPDF/EPUB Permissions & CitationsPermissionsDownload CitationsTrack CitationsAdd to favorites Back To Publication ShareShare onFacebookTwitterLinked InRedditEmail In the March 2023 issue of Election Law Journal: Rules, Politics, and Policy (vol. 22, no. 1; pp. 45–66), the article entitled “Religious Gerrymandering: A New Avenue for Redistricting Challenges?” by Rosen requires correction.This article was originally published under the copyright of Mary Ann Liebert, Inc. publishers. It has now been updated to reflect Open Access, with copyright transferring to the author(s), and a Creative Commons License (CC-BY) added (http://creativecommons.org/licenses/by/4.0). The CC-BY license goes into effect April 28, 2023.The online version of this article has been corrected to reflect this.FiguresReferencesRelatedDetailsRelated articlesReligious Gerrymandering: A New Avenue for Redistricting Challenges?17 Mar 2023Election Law Journal: Rules, Politics, and Policy Volume 22Issue 2Jun 2023 InformationCopyright 2023, Mary Ann Liebert, Inc., publishersTo cite this article:Correction to: Religious Gerrymandering: A New Avenue for Redistricting Challenges? by Rosen Election Law Journal: Rules, Politics, and Policy 2023;22(1):45-66; doi: 10.1089/elj.2022.0021.Election Law Journal: Rules, Politics, and Policy.Jun 2023.212-212.http://doi.org/10.1089/elj.2022.0021.correxcreative commons licensePublished in Volume: 22 Issue 2: June 16, 2023PDF download

Editorial: Special issue of the International Journal of Action Research on industrial democracy

Bibliography: Ravn, Johan E./Imaz Alias, Oier/Haga, Trond Sanne/Greenwood, Davydd J.: Editorial: Special issue of the International Journal of Action Research on industrial democracy, IJAR – International Journal of Action Research, Vol. 19, Issue 1-2023, pp. 3-6. https://doi.org/10.3224/ijar.v19i1.01-----Open Access License: This contribution is available in Open Access under the Creative Commons license CC BY 4.0 (Attribution 4.0 International) as of May 31, 2023. More information about the license and the terms of use can be found here.