Project description:With breakthroughs in Natural Language Processing and Artificial Intelligence (AI), the usage of Large Language Models (LLMs) in academic research has increased tremendously. Models such as Generative Pre-trained Transformer (GPT) are used by researchers in literature review, abstract screening, and manuscript drafting. However, these models also present the attendant challenge of providing ethically questionable scientific information. Our study provides a snapshot of global researchers' perception of current trends and future impacts of LLMs in research. Using a cross-sectional design, we surveyed 226 medical and paramedical researchers from 59 countries across 65 specialties, trained in the Global Clinical Scholars' Research Training certificate program of Harvard Medical School between 2020 and 2024. Majority (57.5%) of these participants practiced in an academic setting with a median of 7 (2,18) PubMed Indexed published articles. 198 respondents (87.6%) were aware of LLMs and those who were aware had higher number of publications (p < 0.001). 18.7% of the respondents who were aware (n = 37) had previously used LLMs in publications especially for grammatical errors and formatting (64.9%); however, most (40.5%) did not acknowledge its use in their papers. 50.8% of aware respondents (n = 95) predicted an overall positive future impact of LLMs while 32.6% were unsure of its scope. 52% of aware respondents (n = 102) believed that LLMs would have a major impact in areas such as grammatical errors and formatting (66.3%), revision and editing (57.2%), writing (57.2%) and literature review (54.2%). 58.1% of aware respondents were opined that journals should allow for use of AI in research and 78.3% believed that regulations should be put in place to avoid its abuse. Seeing the perception of researchers towards LLMs and the significant association between awareness of LLMs and number of published works, we emphasize the importance of developing comprehensive guidelines and ethical framework to govern the use of AI in academic research and address the current challenges.
Project description:The success of a scientist depends on their production of scientific papers and the impact factor of the journal in which they publish. Because most major scientific journals are published in English, success is related to publishing in this language. Currently, 98% of publications in science are written in English, including researchers from English as a Foreign Language (EFL) countries. Colombia is among the countries with the lowest English proficiency in the world. Thus, understanding the disadvantages that Colombians face in publishing is crucial to reducing global inequality in science. This paper quantifies the disadvantages that result from the language hegemony in scientific publishing by examining the additional costs that communicating in English creates in the production of articles. It was identified that more than 90% of the scientific articles published by Colombian researchers are in English, and that publishing in a second language creates additional financial costs to Colombian doctoral students and results in problems with reading comprehension, writing ease and time, and anxiety. Rejection or revision of their articles because of the English grammar was reported by 43.5% of the doctoral students, and 33% elected not to attend international conferences and meetings due to the mandatory use of English in oral presentations. Finally, among the translation/editing services reviewed, the cost per article is between one-quarter and one-half of a doctoral monthly salary in Colombia. Of particular note, we identified a positive correlation between English proficiency and higher socioeconomic origin of the researcher. Overall, this study exhibits the negative consequences of hegemony of English that preserves the global gap in science. Although having a common language is important for science communication, generating multilinguistic alternatives would promote diversity while conserving a communication channel. Such an effort should come from different actors and should not fall solely on EFL researchers.
Project description:Academic journals provide a key quality-control mechanism in science. Yet, information asymmetries and conflicts of interests incentivize scientists to deceive journals about the quality of their research. How can honesty be ensured, despite incentives for deception? Here, we address this question by applying the theory of honest signaling to the publication process. Our models demonstrate that several mechanisms can ensure honest journal submission, including differential benefits, differential costs, and costs to resubmitting rejected papers. Without submission costs, scientists benefit from submitting all papers to high-ranking journals, unless papers can only be submitted a limited number of times. Counterintuitively, our analysis implies that inefficiencies in academic publishing (e.g., arbitrary formatting requirements, long review times) can serve a function by disincentivizing scientists from submitting low-quality work to high-ranking journals. Our models provide simple, powerful tools for understanding how to promote honest paper submission in academic publishing.
Project description:ObjectivesThe University of Minnesota (UMN) Health Sciences Libraries conducted a needs assessment of public health researchers as part of a multi-institutional study led by Ithaka S+R. The aims of the study were to capture the evolving needs, opportunities, and challenges of public health researchers in the current environment and provide actionable recommendations. This paper reports on the data collected at the UMN site.MethodsParticipants (n=24) were recruited through convenience sampling. One-on-one interviews, held November 2016 to January 2017, were audio-recorded. Qualitative analyses were conducted using NVivo 11 Pro and were based on the principles of grounded theory.ResultsThe data revealed that a broad range of skill levels among participants (e.g., literature searching) and areas of misunderstanding (e.g., current publishing landscape, open access options). Overall, data management was an afterthought. Few participants were fully aware of the breadth of librarian knowledge and skill sets, although many did express a desire for further skill development in information science.ConclusionsLibraries can engage more public health researchers by utilizing targeted and individualized marketing regarding services. We can promote open science by educating researchers on publication realities and enhancing our data visualization skills. Libraries might take an institution-wide leadership role on matters of data management and data policy compliance. Finally, as team science emerges as a research priority, we can offer our networking expertise. These support services may reduce the stresses that public health researchers feel in the current research environment.
Project description:The Chinese international students are often portrayed in a monolithic manner in popular discourse. To offer a more comprehensive and critical representation of the Chinese international students, this paper conducts a thematic narrative review of 128 English-language and 74 Chinese-language peer-reviewed articles published between 2015 and 2020. Drawing on post-colonial theories, this review identifies four subject positions portrayed of the Chinese international students: the (1) neoliberal, (2) political, (3) pedagogic and (4) racialised subjects. This paper celebrates heartening developments in the literature which affirms Chinese international students’ epistemic contributions, legitimate pedagogic needs, notable heterogeneity and wide-ranging political, cultural and pedagogic agencies. It also highlights how aspects of these subject positions have exercised epistemic injustice on the Chinese international students. Meanwhile, it pinpoints the Chinese international students’ acquiescence in exacerbating global education inequalities. Among the first to bring the dominant English-language and ‘local’ perspectives of Chinese-language literature in dialogue, this article notes divergent focuses and indicates unique contributions to historicising research on Chinese international students made by the latter. This article challenges popular perceptions of Chinese international students, questions production of knowledge, and pinpoints future research directions. Supplementary Information The online version contains supplementary material available at 10.1007/s12564-021-09731-8.
Project description:Introduction and objectiveScientific reporting on major incidents, mass-casualty incidents (MCIs), and disasters is challenging and made difficult by the nature of the medical response. Many obstacles might explain why there are few and primarily non-heterogenous published articles available. This study examines the process of scientific reporting through first-hand experiences from authors of published reports. It aims to identify learning points and challenges that are important to address to mitigate and improve scientific reporting after major incidents.MethodsThis was a qualitative study design using semi-structured interviews. Participants were selected based on a comprehensive literature search. Ten researchers, who had published reports on major incidents, MCIs, or disasters from 2013-2018 were included, of both genders, from eight countries on three continents. The researchers reported on large fires, terrorist attacks, shootings, complex road accidents, transportation accidents, and earthquakes.ResultsThe interview was themed around initiation, workload, data collection, guidelines/templates, and motivation factors for reporting. The most challenging aspects of the reporting process proved to be a lack of dedicated time, difficulties concerning data collection, and structuring the report. Most researchers had no prior experience in reporting on major incidents. Guidelines and templates were often chosen based on how easily accessible and user-friendly they were.Conclusion and relevanceThere are few articles presenting first-hand experience from the process of scientific reporting on major incidents, MCIs, and disasters. This study presents motivation factors, challenges during reporting, and factors that affected the researchers' choice of reporting tools such as guidelines and templates. This study shows that the structural tools available for gathering data and writing scientific reports need to be more widely promoted to improve systematic reporting in Emergency and Disaster Medicine. Through gathering, comparing, and analyzing data, knowledge can be acquired to strengthen and improve responses to future major incidents. This study indicates that transparency and willingness to share information are requisite for forming a successful scientific report.
Project description:The neural basis of language switching, especially endogenous language control, remains largely unclear. We used a cue-stimulus paradigm and measured behavioral indices and scalp event-related potentials to investigate the endogenous control of switching between Chinese and English. In the experiment, unbalanced Chinese (L1) - English (L2) speakers named pictures in L1 or L2 according to an auditory cue presented 700 ms (cue-stimulus interval) before the picture onset. The reaction time (RT) was longer in the switch condition and the switch cost (difference of RTs between switch and repeat conditions) of L1 (L2→L1) was greater than L2 (L1→L2). P2 component elicited by the cue onset showed the neural switch cost of L1 at the frontocentral regions, with a leftward distribution, but not the switch cost of L2. The greater switch cost of L1 in behavioral responses and neural activity suggests that the frontocentral areas play an important role in endogenous language control, and switching back to the native language might require more endogenous control.
Project description:BackgroundLanguage concordance can increase access to care for patients with language barriers and improve patient health outcomes. However, systematically assessing and tracking physician non-English language skills remains uncommon in most health systems. This is a missed opportunity for health systems to maximize language-concordant care.ObjectiveTo determine barriers and facilitators to participation in non-English language proficiency assessment among primary care physicians.DesignQualitative, semi-structured interviews.ParticipantsEleven fully and partially bilingual primary care physicians from a large academic health system with a language certification program (using a clinician oral proficiency interview).ApproachInterviews aimed to identify barriers and facilitators to participation in non-English language assessment. Two researchers independently and iteratively coded transcripts using a thematic analysis approach with constant comparison to identify themes.Key resultsMost participants were women (N= 9; 82%). Participants reported proficiency in Cantonese, Mandarin, Russian, and Spanish. All fully bilingual participants (n=5) had passed the language assessment; of the partially bilingual participants (n=6), four did not test, one passed with marginal proficiency, and one did not pass. Three themes emerged as barriers to assessment participation: (1) beliefs about the negative consequences (emotional and material) of not passing the test, (2) time constraints and competing demands, and (3) challenging test format and structure. Four themes emerged as facilitators to increase assessment adoption: (1) messaging consistent with professional ethos, (2) organizational culture that incentivizes certification, (3) personal empowerment about language proficiency, and (4) individuals championing certification.ConclusionsTo increase language assessment participation and thus ensure quality language-concordant care, health systems must address the identified barriers physicians experience and leverage potential facilitators. Findings can inform health system interventions to standardize the requirements and process, increase transparency, provide resources for preparation and remediation, utilize messaging focused on patient care quality and safety, and incentivize participation.
Project description:This study aimed to investigate the challenges refugee children face in learning the English language from teachers' perspectives and the challenges of refugees' English language teachers in Jordan. To achieve this aim, a quantitative approach was implemented using a questionnaire. The findings from this study suggest that refugee teachers' acknowledge that they face challenges teaching refugees in terms of cultural competency, preparation, self-efficacy, and practices they implement, and refugee children face linguistic and psychological challenges in learning English. This study attempted to find out the relationship between teachers' preparation and their cultural competency, self-efficacy, and practices they implement and then the relationship between refugees' psychological needs and linguistic challenges, respectively, and teachers' self-efficacy, cultural competency, and practices. Results revealed several significant relationships between challenges and presented them in a model.
Project description:In this work we investigate how models with advanced natural language processing capabilities can be used to reduce the time-consuming process of writing and revising scholarly manuscripts. To this end, we integrate large language models into the Manubot publishing ecosystem to suggest revisions for scholarly text. We tested our AI-based revision workflow in three case studies of existing manuscripts, including the present one. Our results suggest that these models can capture the concepts in the scholarly text and produce high-quality revisions that improve clarity. Given the amount of time that researchers put into crafting prose, we anticipate that this advance will revolutionize the type of knowledge work performed by academics.