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Since the launch of the Covid-19 global vaccination campaign, postsecondary institutions have strongly promoted vaccination, often through mandates, and the academic literature has identified "vaccine uptake" among postsecondary students as a problem deserving monitoring, research, and intervention. However, with the admission that vaccines do not stop viral spread, that older-age and co-morbidities are major determinants of poor outcomes, and that many vaccine side effects disproportionately affect the young, it cannot be assumed that a risk-benefit analysis favors vaccinating postsecondary students. Drawing from critical policy studies, I appraise the literature on Covid-19 vaccine uptake in postsecondary education. I find that this literature reflects the "scientific consensus," hardly acknowledging contradictory medical evidence, ignoring coercive elements underlying "vaccine acceptance," and neglecting ethical tensions built into the very design of vaccination policies. I discuss potential explanations for my findings, and their implications for academia's role in society in the COVID-19 era and beyond. [ABSTRACT FROM AUTHOR]

This paper explores strategies for generating and evaluating novel research ideas. Researchers can identify promising ideas by systematically exposing themselves to new, practitioner‐relevant information and by contrasting emerging facts with existing theories. Additionally, by identifying the necessary conditions that are required for an idea to become a viable research project, researchers can quickly discard low‐prospect ideas, freeing up mental space and time to evaluate new research opportunities. [ABSTRACT FROM AUTHOR]

This study addresses the necessity and importance of ethical committee approval in academic research. Ethical committee approval is a process through which permission is obtained to ensure that academic studies are conducted in accordance with scientific standards and in a manner that protects the rights of participants. The study highlights the potential legal and ethical issues that may arise from research conducted without such approval, while also emphasizing the significance of this approval in terms of research reliability and social responsibility. Furthermore, the study provides information on the process of obtaining ethical committee approval, as well as the technical aspects of uploading the approval to journal systems during the article publication process. Information on which studies require ethics committee approval is included in the study. [ABSTRACT FROM AUTHOR]

Students embarking on fieldwork across Eurasia, Africa and Latin America will encounter various political practices of regimes and conflicts involving varying levels of open violence. Although they leave their universities equipped with often stunning theoretical and methodological knowledge, surprisingly little attention is paid to practical preparation for uneasy situations. Fieldwork handbooks do exist, but they rarely offer positionality-sensitive guidelines and cannot provide ongoing mentoring during fieldwork or debriefing upon return. Drawing on previous scholarship initiatives and my experiences conducting field research in authoritarian Central Asia, I call for an open academic debate on fieldwork in challenging contexts and increased peer-to-peer solidarity at all academic levels. Addressing teaching professionals, advanced PhD students and anyone else involved in teaching and training newcomers in research and learning, I offer specific examples of what such a cooperation and support leading to a more resilient community may look like in everyday academic and research practice. [ABSTRACT FROM AUTHOR]

Research productivity is a common topic in the literature, but peer reviewing for journals has received less attention, although it is a key activity of academic research. We help to fill this knowledge gap by assessing the determinants of peer review engagement and quality in scientific journals. We do so by analysing the combined information from a survey of academics working in different parts of the world and various fields of science, along with their publication and peer review information gathered from Scopus and Publons/Web of Science. We find that age, gender, and some dimensions of academics' strategic research agendas are important predictors of peer review engagement. We also find that academic inbreeding along the educational path has a negative association with the quality of peer-review activities. However, we find no statistically significant results concerning academic inbreeding related to the professional trajectory and peer review engagement and quality. Equally importantly, our results suggest that although the activities of publishing and peer reviewing are closely associated, peer review tends to be ancillary to publishing, rather than the other way around. Furthermore, the greater the perceived availability of resources, including research funding throughout an academic's career, the greater the focus is on publishing and the less the focus is on peer reviewing. These findings are discussed in relation to the current valuation of publication versus peer reviewing in terms of scientific and academic career recognition. [ABSTRACT FROM AUTHOR]

Recent advances in artificial intelligence (AI) have introduced transformative capabilities that are revolutionizing the process of scientific research and communication. AI tools can assist researchers in designing studies, analyzing data, and drafting manuscripts, enhancing both efficiency and analytical rigor. This allows researchers to focus cognitive resources on higher-level conceptualization and interpretation. Furthermore, AI holds promise for steering research towards more impactful directions by aiding in the identification of critical knowledge gaps and research questions with potential societal benefits. Collaboration platforms powered by AI facilitate connections between researchers across domains and institutions, accelerating discovery and promoting convergence around global health priorities. However, responsible development and application of AI in research is essential. Transparency, explainability, data privacy, and human oversight must remain priorities to ensure ethical AI practices. While AI offers transformative capabilities, researchers must maintain agency and responsibility over the scientific process. With thoughtful governance and participatory design, AI can become a powerful tool for advancing science in the service of society. Overall, AI ushers in new potentials for improving the rigor, relevance, and reach of scientific inquiry. Yet realization of this potential necessitates proactive efforts to address emerging risks and challenges. [ABSTRACT FROM AUTHOR]

AI shaming refers to the practice of criticizing or looking down on individuals or organizations for using AI to generate content or perform tasks. AI shaming has emerged as a recent phenomenon in academia. This paper examines the characteristics, causes, and effects of AI shaming on academic writers and researchers. AI shaming often involves dismissing the validity or authenticity of AI-assisted work, suggesting that using AI is deceitful, lazy, or less valuable than human-only efforts. The paper identifies various profiles of individuals who engage in AI shaming, including traditionalists, technophobes, and elitists, and explores their motivations. The effects of AI shaming are multifaceted, ranging from inhibited technology adoption and stifled innovation to increased stress among researchers and missed opportunities for efficiency. These consequences may hinder academic progress and limit the potential benefits of AI in research and scholarship. Despite these challenges, the paper argues that academic writers and researchers should not be ashamed of using AI when done responsibly and ethically. By embracing AI as a tool to augment human capabilities and by being transparent about its use, academic writers and researchers can lead the way in demonstrating responsible AI integration. [ABSTRACT FROM AUTHOR]

Socio-emotional skills (SES) enable the comprehensive development of individuals. This article summarizes a review of publications collected in different academic databases and search engines related to SES and their relationship with education. The qualitative methodology of this study allowed selecting 104 publications, which revealed a growing research interest in SES since 2013, mainly in Europe and South America. 68% of the publications are from the educational field and 18% suggest that SES-aligned curricula improve students’ emotional well-being and academic performance. Although the definition of SES found in the publications analyzed is polysemic, they share certain common elements can be related. For this reason, we proposed grouping them into three approaches, described in the final section. The results of the review highlight the versatility and importance of SES in educational environments and validates the premise that they are essential elements. The article concludes that it is necessary to promote research on SES in the educational sector, given its comprehensive nature within school learning. It also proposes strategies for its correct measurement in accordance with the context and following a multidisciplinary approach, that is, one that encompasses not only pedagogy, but also psychology, sociology, communication, among other disciplines.

Objective: The study aims to investigate what design practitioners and healthcare facility managers deem as important benchmarking metrics worldwide, investigating country differences in benchmarking usage and which metrics are prioritized. Background: Benchmarking is a regular practice in the healthcare sector, both for clinical and managerial aspects to compare, measure, and improve standardized processes. However, limited knowledge is available about benchmarking procedures in hospital planning, design, and construction. Methods: A web-based survey was designed, revised, and pilot-tested in five countries; it was adjusted according to local experts' suggestions and submitted globally via SoSci multilingual platform to persons involved in hospital design, research, construction, and facility management. It was composed of closed questions on 5-point Likert-type scale ranking frequency or importance and open-ended questions divided into six sections. Two hundred and eighty full responses have been collected. Statistical analysis was performed via PowerBI and R-Studio, while qualitative analysis was performed via MAXQDA. Results: The findings reported allow for both specific insights per each country or category as well as enabling general considerations of a practice that is becoming always more international with 30%–50% of respondents working in the international context. The evaluation of the survey highlights the most important benchmarks, among others. For example, for respondents from the top five countries (Sweden, Spain, Germany, Italy, and the United States), the most important metric for benchmark comparability is whether the project was new construction, new construction attached to an existing hospital, or interior renovation. Construction date, client type (public vs. private), and country of location were also generally rated as the most important metrics by respondents. Other metrics that were consistently rated as important globally included inpatient unit layout, walking distances, number of floors, and whether all patient rooms are private. Space-related metrics are considered very important elements in the design and planning of healthcare facilities worldwide. Regarding cost-related metrics, all countries consider the ratio construction cost per building gross area as the most important. Conclusions: Benchmarking emerges as a relevant tool for hospital design and planning as it can support efficiency, standardization, and confidence; currently, benchmarking is still underutilized due to the challenge of international comparison, access to data outside each specific company, and variation design metrics nationally. Benchmarking strategies should be further investigated to support knowledge exchange and to ensure reliable and comparable information globally. [ABSTRACT FROM AUTHOR]

In the landscape of academic research and citation practices, the emergence of ChatGPT, an artificial intelligence language model developed by OpenAI, represents a transformative leap forward. This paper delves into the multifaceted role of ChatGPT in revolutionizing scholarly endeavors beyond mere plagiarism detection. We explore how ChatGPT facilitates research collaboration, streamlines literature reviews, and assists in proper citation practices. By harnessing ChatGPT's contextual understanding and vast knowledge repository, social work researchers can unlock new avenues of creativity and efficiency in knowledge acquisition and dissemination. Moreover, this paper discusses the ethical considerations surrounding the integration of AI in academia and underscores the need for guidelines and education to ensure responsible usage. Ultimately, ChatGPT stands at the forefront of a technological revolution, empowering social work researchers to push the boundaries of knowledge acquisition and dissemination in unprecedented ways. [ABSTRACT FROM AUTHOR]

This inquiry unveiled the potential of ChatGPT as a viable alternative to traditional citation generator. Findings showed the substantial potential and reliability of the chatbot as a citation formatting tool. Notably, the study revealed ChatGPT's remarkable accuracy in configuring reference citations for journal articles and books across a range of styles, including APA 7, MLA 9, IEEE, and Harvard. Furthermore, the tool demonstrated proficiency in organizing in-text citations for multiple references. Despite the commendable performance of ChatGPT, manual editing remains essential for the final verification of the references to ensure the utmost accuracy and credibility of sourced materials. [ABSTRACT FROM AUTHOR]

Copyright of Profil súèasného výtvarného umenia / Contemporary Art Magazine is the property of Kruh Sucasneho Umenia Profil and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of New Architecture is the property of New Architecture Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Historia y Memoria de la Educación is the property of Historia y Memoria de la Educacion and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

The study investigates perceptions of students of education sciences in Romania concerning issues related to research ethics, starting from recent opinions that consider the lack of adequate training in this field as a threat to higher education. The purpose of this paper is to contribute to a better knowledge of the training stage of which Bachelor, Master and doctorate students are undertaking. Respondents were invited to take part in a survey that included items that asked their opinion on the place of research ethics in the university curriculum, the need for a support person on research ethics issues, the importance of respecting research ethics for involvement in a research project, and the relationship between academic ethics and research ethics. The results show that students' perception of the importance of research ethics positively changes with the level of studies. Doctoral students appreciate the support of an ethics advisor and significantly value the ethics component of a research project. Compliance with university ethics norms and compliance with research ethics is statistically significant in two of the three analyzed situations. The research shows the need for reconsideration at the institutional level to identify new training pathways in student research ethics. [ABSTRACT FROM AUTHOR]

This study critically evaluates gender assignment methods within academic contexts, employing a comparative analysis of diverse techniques, including a SVM classifier, gender-guesser, genderize.io, and a Cultural Consensus Theory based classifier. Emphasizing the significance of transparency, data sources, and methodological considerations, the research introduces nomquamgender, a cultural consensus-based method, and applies it to Teseo, a Spanish dissertation database. The results reveal a substantial reduction in the number of individuals with unknown gender compared to traditional methods relying on INE data. The nuanced differences in gender distribution underscore the importance of methodological choices in gender studies, urging for transparent, comprehensive, and freely accessible methods to enhance the accuracy and reliability of gender assignment in academic research. After reevaluating the problem of gender imbalances in the doctoral system we can conclude that it's still evident although the trend is clearly set for its reduction. Finaly, specific problems related to some disciplines, including STEM fields and seniority roles are found to be worth of attention in the near future. [ABSTRACT FROM AUTHOR]

Copyright of Journal of Education Research (1680-6360) is the property of Angle Publishing Co., Ltd. and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

In this study, the narrative literature review methodology was assigned to interrogate the western intellectual hegemony and the challenges in academic research in sub-Saharan Africa. The Marxist dependency theory of knowledge was commissioned as the lens for analysis. Despite the presence of vast literature indicating that sub-Saharan Africa is submerged in chronic challenges ranging from poverty and hunger to poor health services, this study found that the region continuously lags behind in knowledge production. The factors that facilitate western intellectual hegemony and stunted knowledge production are linked to knowledge imperialism and the digital divide. The study proffered strategies to reduce Western intellectual hegemony, such as investment in infrastructure and training that focus on decolonisation and empowerment of chronically disadvantaged African academics, such as women and early-career researchers. [ABSTRACT FROM AUTHOR]

We use data from 30 countries and find that the more women in a discipline, the lower quality the research in that discipline is evaluated to be and the lower the funding success rate is. This affects men and women, and is robust to age, number of research outputs, and bibliometric measures where such data are available. Our work builds on others’ findings that women’s work is valued less, regardless of who performs that work.

Aim: Understanding the factors that influence the probability of endocrinology thesis publication can guide aspiring researchers in their academic pursuits. This study aimed to assess the publication rate of endocrinology theses and identify the factors that affect thesis publication. Methods: Endocrinology theses between January 1980 and April 2023 were assessed. The publication rates of theses and those published in journals indexed in SCIE and Scopus were examined. The thesis topics, study design, institution, index of the journal, author’s number of first-author publications, H-index, and number of publications by thesis advisors were analyzed to determine their impact on the likelihood of publication. Results: Out of 277 theses, 142 (51.3%) of them had been published in international or national journals. One hundred seventeen (42.2%) were published in SCIE/Scopus indexed journals. A relationship was found between the thesis having a publication and that being conducted in a training and research hospital, a higher number of first-author publications, and a more recent year of the thesis. The H-index of thesis advisors for theses published in SCIE/Scopus-indexed journals was significantly higher (p=0.029). Conclusion: The rate of publication in international peer-reviewed journals for endocrinology theses was higher than the national average. However, there are still many theses waiting to be published. Enhancing the publication rate of endocrinology theses requires a systematic approach that addresses the identified factors affecting publication probability.

AI has emerged as a revolutionary technology in the pharmaceutical and biomedical fields. This review explores its transformative role, particularly in drug development, the discovery of future interventions in the pharmaceutical sector. By leveraging AI, these processes have become more efficient, cost-effective, and capable of delivering personalized medicine to individual patients. Moreover, AI’s potential in disease prevention and outbreak prediction is promising, as it can analyze vast datasets to identify crucial patterns and trends, leading to targeted interventions for combating diseases. In biomedical research, AI has proven highly beneficial, especially in genomics, proteomics, and metabolomics, where it enables researchers to comprehensively analyze complex biological data, uncovering new insights and accelerating scientific discoveries. The impact of AI is also evident in the patient-physician interface, as it enhances diagnostic accuracy and treatment efficiency, ultimately improving patient care.

Copyright of Rare Metals is the property of Springer Nature and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

This study is aimed at exploring the impact of artificial intelligence (AI) on academic research by conducting a focus group research strategy. The focus group consists of individuals who are actively involved in academic research and have experience working with AI technologies. The purpose of the focus group is to gather in-depth insights into how AI has influenced research methodologies, findings, and overall knowledge creation. The study will begin by identifying seven participants through purposive sampling, with an aim of recruiting a diverse group of individuals from various academic disciplines. Purposive sampling, also known as selective sampling, enhances the study's validity by ensuring that the sample consists of individuals with a high level of expertise in the subject matter. Seven is large enough to generate a diverse range of perspectives and experiences and small enough to ensure that every participating academic researcher has a chance to contribute to the conversation. The focus group is conducted using a Zoom video conferencing to gather academics from different institutions across the world. It also eliminates distance issue required for conducting an in-person session. This provides opportunity to cover a wide array research specialization representation. Data analysis is conducted using a thematic analysis approach, with a focus on identifying key themes and patterns that emerge from the data. The findings of this study contribute to a better understanding of the impact of AI on academic research and provide insights into the potential future direction of AI in academic research. While the study is aimed at providing practical recommendations for researchers who are interested in incorporating AI into their research practices, it also ignites the conversation on future incorporation of technologies into academic research activity. [ABSTRACT FROM AUTHOR]

Simple Summary: In the present framework of constraints on healthcare budgets, an assessment of costs of antineoplastic drugs is a crucial step in contributing to the sustainability of public-payer systems. This study evaluated the characteristics of cancer clinical trials and potential drug cost avoidance in a large population of adult cancer patients with solid tumors enrolled in clinical trials over a 10-year period (2010–2019). These trials were conducted at the Medical Oncology Department of Vall d'Hebron University Hospital in Barcelona (Spain), one of the largest tertiary care centers in the country. Based on the data of 2930 clinical trials with 10,488 participants, it was found that the total cost of antineoplastic drugs supplied by sponsors in the clinical trials setting was EUR 107,306,084, with a potential cost savings of EUR 92,662,609. Participation in sponsored clinical trials in which drugs are provided free of charge yields considerable cost savings, with benefits in clinical strategies to reduce drug expenditures. The objective of this single-center retrospective study was to describe the clinical characteristics of adult patients with solid tumors enrolled in cancer clinical trials over a 10-year period (2010–2019) and to assess drug cost avoidance (DCA) associated with sponsors' contributions. The sponsors' contribution to pharmaceutical expenditure was calculated according to the actual price (for each year) of pharmaceutical specialties that the Vall d'Hebron University Hospital (HUVH) would have had to bear in the absence of sponsorship. A total of 2930 clinical trials were conducted with 10,488 participants. There were 140 trials in 2010 and 459 in 2019 (228% increase). Clinical trials of high complexity phase I and basket trials accounted for 34.3% of all trials. There has been a large variation in the pattern of clinical research over the study period, whereas, in 2010, targeted therapy accounted for 79.4% of expenditure and cytotoxic drugs for 20.6%; in 2019, immunotherapy accounted for 68.4%, targeted therapy for 24.4%, and cytotoxic drugs for only 7.1%. A total of four hundred twenty-one different antineoplastic agents were used, the variability of which increased from forty-seven agents in 2010, with only seven of them accounting for 92.8% of the overall pharmaceutical expenditure) to three hundred seventeen different antineoplastic agents in 2019, with thirty-three of them accounting for 90.6% of the overall expenditure. The overall expenditure on antineoplastic drugs in clinical care patients not included in clinical trials was EUR 120,396,096. The total cost of antineoplastic drugs supplied by sponsors in a clinical trial setting was EUR 107,306,084, with a potential DCA of EUR 92,662,609. Overall, clinical trials provide not only the best context for the progress of clinical research and healthcare but also create opportunities for reducing cancer care costs. [ABSTRACT FROM AUTHOR]

Gender disparities have long existed in radiology. The COVID-19 pandemic disrupted research activities worldwide and have impacted gender disparities across medical specialties. This study investigates the effect of the COVID-19 pandemic on gender disparities in radiology academic authorship. A retrospective observational study was conducted using data from 110 843 global and 23 977 US radiology articles. The gender of authors was determined using an automated gender inference tool. Descriptive statistics were applied to explore authorship changes overall globally, in the US as well as across countries and states. Female first-authorship increased globally from 16.9% to 17.6% (p < 0.001), and in the US, from 19.0% to 19.6% (p = 0.19) in the peri-COVID period. The combined female percentage increased from 19.7% to 20.0% globally (p = 0.021), and from 20.2% to 21.1% in the US (p = 0.006). Country-level analysis revealed significant increases in female authorship in Colombia, Denmark, Egypt, France, India, and Japan, while New Zealand demonstrated a decrease in female authorship. In the US, Florida, Indiana, Louisiana, Massachusetts, and Ohio experienced increases in female authorship, whereas South Carolina demonstrated a decrease in female authorship. In contrast with other medical fields, the study demonstrates that radiology experienced a slight increase in female authorship in radiology research globally and in the US during the COVID period. While the pandemic may have influenced these findings, further research is needed to establish regional causal relationships and identify best practices for promoting gender equity in radiology research. [ABSTRACT FROM AUTHOR]

Copyright of Apotheke is the property of Universidade do Estado de Santa Catarina and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

AI has emerged as a revolutionary technology in the pharmaceutical and biomedical fields. This review explores its transformative role, particularly in drug development, the discovery of future interventions in the pharmaceutical sector. By leveraging AI, these processes have become more efficient, cost-effective, and capable of delivering personalized medicine to individual patients. Moreover, AI's potential in disease prevention and outbreak prediction is promising, as it can analyze vast datasets to identify crucial patterns and trends, leading to targeted interventions for combating diseases. In biomedical research, AI has proven highly beneficial, especially in genomics, proteomics, and metabolomics, where it enables researchers to comprehensively analyze complex biological data, uncovering new insights and accelerating scientific discoveries. The impact of AI is also evident in the patient-physician interface, as it enhances diagnostic accuracy and treatment efficiency, ultimately improving patient care. [ABSTRACT FROM AUTHOR]

ChatGPT, an artificial intelligence large language model, took the world by storm in November 2022. Its launch was met with excitement, and it garnered over 1 million users within the first five days of its release, surpassing social media giants like Facebook, Instagram, Twitter and even the top search engine, Google. Having been trained on volumes of data, ChatGPT has displayed the ability to produce human-like responses to questions. Concerns have been raised among members of the academic and research community regarding the ethical usage of ChatGPT and language models in education and academic/scientific research. This paper examines the development and rise of ChatGPT and similar AI tools, their pros and cons, their impact on academic research and possible intellectual property conflicts. It concludes that ChatGPT and language models are here to stay and makes recommendations for its ethical usage to prevent and detect plagiarism and protect intellectual property rights. [ABSTRACT FROM AUTHOR]

Aim: Understanding the factors that influence the probability of endocrinology thesis publication can guide aspiring researchers in their academic pursuits. This study aimed to assess the publication rate of endocrinology theses and identify the factors that affect thesis publication. Methods: Endocrinology theses between January 1980 and April 2023 were assessed. The publication rates of theses and those published in journals indexed in SCIE and Scopus were examined. The thesis topics, study design, institution, index of the journal, author's number of first-author publications, H-index, and number of publications by thesis advisors were analyzed to determine their impact on the likelihood of publication. Results: Out of 277 theses, 142 (51.3%) of them had been published in international or national journals. One hundred seventeen (42.2%) were published in SCIE/Scopus indexed journals. A relationship was found between the thesis having a publication and that being conducted in a training and research hospital, a higher number of first-author publications, and a more recent year of the thesis. The H-index of thesis advisors for theses published in SCIE/Scopus-indexed journals was significantly higher (p=0.029). Conclusion: The rate of publication in international peer-reviewed journals for endocrinology theses was higher than the national average. However, there are still many theses waiting to be published. Enhancing the publication rate of endocrinology theses requires a systematic approach that addresses the identified factors affecting publication probability. [ABSTRACT FROM AUTHOR]

For more than six decades, creativity has been the cornerstone of diverse scientific disciplines, including psychology, sociology, and organizational behavior (OB) studies. Its fundamental role in guiding business prospects, driving development, and fueling economic growth has made it an essential research theme in many fields. Yet, despite its importance, scholars within the information systems (IS) discipline have highlighted the significant lack of attention paid to this concept in their research. The transformative role creativity plays in contemporary business environments, along with the ever-present need to innovate, compete, and grow, sparked our curiosity. Is creativity still an understudied area in the IS discipline, as it was 10 years ago? Our goal was not simply to examine the current state of creativity studies within the IS field, but to chart its evolution from 2010 to the present day. Through a comprehensive systematic literature review, we scrutinized papers from prestigious journals and proceedings of acclaimed conferences within the IS field. The findings map out the trajectory of creativity studies, yet also point to an emerging research gap. Accordingly, the paper provides invaluable insights into future research directions, emphasizing the need to fill the creativity studies void within the discipline of IS. [ABSTRACT FROM AUTHOR]

This paper explores the multifaceted relationship between Artificial Intelligence (AI) and academic research, emphasizing its potential to enhance productivity, efficiency, and innovation while also addressing ethical considerations. Beginning with an overview of AI's transformative impact on various aspects of research, including data analysis, literature reviews, and experimental design, the discussion delves into the opportunities and challenges associated with AI integration. Recommendations for maximizing AI's productivity benefits include investing in AI literacy and interdisciplinary collaboration, as well as establishing clear ethical guidelines and regulatory frameworks. While concerns about algorithmic bias, data privacy, and responsible AI use are acknowledged, the overarching narrative suggests that AI has the capacity to revolutionize research practices and drive positive change. By leveraging AI effectively and ethically, researchers can streamline processes, accelerate discovery, and ultimately advance knowledge and innovation across diverse fields and disciplines. This abstract encapsulates the nuanced exploration of AI's role in academic research, highlighting its potential to shape the future of scholarly inquiry while underscoring the importance of ethical considerations and responsible AI deployment.

This article examines the use of and opinions about academic research by US-based legal interpreters. It analyses the responses of 233 practising interpreters to an online survey. The survey explored: (1) tools and practices employed for problem solving and skill building; (2) access to and use of academic research; (3) factors affecting use of research; (4) goals and expectations regarding academic research; and (5) the potential role of different stakeholders (interpreters, researchers, educators, and professional associations) in conducting and disseminating research. Results reveal interpreters’ limited awareness of the concept of academic research and the current state of the art in legal interpreting. Respondents cite a neglect of professional needs in existing studies and inaccessible formats as major reasons for their lack of engagement. However, they recognize academic research as a valuable tool for enhancing practice and educating legal actors about interpreting. They express interest in furthering their knowledge of interpreting techniques, language and communication issues (particularly legal discourse), the physiological and psychological effects of interpreting, and work-related matters. They suggest closer collaboration between researchers and practitioners in conceptualising and developing empirical studies, and in disseminating findings beyond traditional academic formats.

Background: Artificial intelligence is already altering the world and raising important questions for society, the economy, and governance. Scholars have largely focused on the utility of AI for human existence. Limited scholarly works seem to specifically address the potential and the adverse effects of AI-dominated use in the area of academic research. Objective: This paper attempts to reflect on the implications of the adoption of Artificial Intelligence (AI) in academic research. Specifically, it examines the potential and possible threats of AI to academic research. Methodology: The paper adopted an exploratory research approach that seeks to explore the emerging AI relationship with academic research to stimulate further study in the new field. Data were collected through a literature search to support the polemic discussion of the issues raised. Results: The paper posits that Artificial Intelligence’s dominant use in academic research has the potential to analyse large datasets with speed and ease, reduce plagiarism, and improve literature review. However, it is likely to limit critical thinking, academic creativity, and the creation of indolence among academics and can also induce machine-mediated plagiarism, known as AIgiarism. Conclusion: The paper concludes that though the application of Artificial Intelligence presents some advantages in the field of education, unethical reliance on it diminishes human creativity in scholarship and formerly recognises indolence in academic activities. Unique contribution: The paper has articulated a discussion that can inform ethical and legal framework on the application of Artificial Intelligence in academic research. Recommendation: AI tools need to be developed to distinguish between AI-supported research write-ups and human-written papers. This is important to discourage AIgiarism (plagiarism), which is inevitably thrown up by intelligent software applications.

This paper presents a comparative analysis of the sustainability aspects between print and electronic journals. A narrative synthesis is presented under the three key areas of environmental impact, social impact, and impact on research practices. Over the past decades, the gradual transition from print to electronic media has facilitated greater global access to academic research, reshaped research methodologies through innovative tools and systems, and arguably, reduced the ecological footprint of academia. • Narrative review of literature comparing the various sustainability aspects of electronic versus print media • The digital format has a variety of benefits including wider accessibility, multimedia features, research tools, and potentially has a more favourable ecological impact. • The print format has some unique advantages such as offline access, less eye strain, and the ability to reuse and recycle media. [ABSTRACT FROM AUTHOR]

Introduction: ChatGPT, a recently released chatbot from OpenAI, has found applications in various aspects of life, including academic research. This study investigated the knowledge, perceptions, and attitudes of researchers towards using ChatGPT and other chatbots in academic research. Methods: A pre-designed, self-administered survey using Google Forms was employed to conduct the study. The questionnaire assessed participants' knowledge of ChatGPT and other chatbots, their awareness of current chatbot and artificial intelligence (AI) applications, and their attitudes towards ChatGPT and its potential research uses. Results: Two hundred researchers participated in the survey. A majority were female (57.5%), and over two-thirds belonged to the medical field (68%). While 67% had heard of ChatGPT, only 11.5% had employed it in their research, primarily for rephrasing paragraphs and finding references. Interestingly, over one-third supported the notion of listing ChatGPT as an author in scientific publications. Concerns emerged regarding AI's potential to automate researcher tasks, particularly in language editing, statistics, and data analysis. Additionally, roughly half expressed ethical concerns about using AI applications in scientific research. Conclusion: The increasing use of chatbots in academic research necessitates thoughtful regulation that balances potential benefits with inherent limitations and potential risks. Chatbots should not be considered authors of scientific publications but rather assistants to researchers during manuscript preparation and review. Researchers should be equipped with proper training to utilize chatbots and other AI tools effectively and ethically. [ABSTRACT FROM AUTHOR]

In the context of the COVID-19 pandemic, gaining insights into how academia has responded to this urgent challenge is of great significance. This article presents academic response patterns at a global, regional and national level from an analysis of publication volume versus reported cases of COVID-19, scientific collaboration and research focus. We also compare academic activity associated with this newly emerging infection to that related to long-standing infections. Our results show that the research community has responded quickly to COVID-19. The highly developed countries, which have the highest number of confirmed cases, are also the major academic contributors. National-level analysis reveals diverse response patterns from different countries. Specifically, academic research in the United Kingdom remained at a relatively constant level throughout the whole year (2020), while the global share of China's research output was prone to shift as its domestic pandemic status changed. Strong alliances have formed among countries with academic capabilities in response to the COVID-19 pandemic. The distribution of disciplines is relatively decentralised, indicating that a diverse and broad knowledge base contributes to the COVID-19 literature. Most of the analysed countries show dynamic patterns of research focus that vary over time as the pandemic evolves, except India. As one of the world's biggest suppliers of vaccines, India makes consistent efforts on vaccine research, especially those related to pharmaceutical preparations. Our findings may serve as resources for fostering strategies to respond to future threats of pandemics. [ABSTRACT FROM AUTHOR]