Methodological Gaps Research Articles

Language Ideologies and Identity Construction in Immigrant Communities

Purpose: This study sought to explore language ideologies and identity construction in immigrant communities. Methodology: The study adopted a desktop research methodology. Desk research refers to secondary data or that which can be collected without fieldwork. Desk research is basically involved in collecting data from existing resources hence it is often considered a low cost technique as compared to field research, as the main cost is involved in executive’s time, telephone charges and directories. Thus, the study relied on already published studies, reports and statistics. This secondary data was easily accessed through the online journals and library. Findings: The findings reveal that there exists a contextual and methodological gap relating to language ideologies and identity construction in immigrant communities. Preliminary empirical review revealed that dominant language beliefs significantly impacted how immigrants navigated their identities, often pressuring them to assimilate linguistically at the expense of their native languages and cultures. Immigrants employed various strategies, such as forming ethnic enclaves and participating in cultural events, to maintain their linguistic heritage. The study highlighted the crucial role of educational institutions and inclusive policies in supporting bilingualism and multiculturalism, which were essential for the social integration and identity preservation of immigrants. Ultimately, it emphasized the need for concerted efforts from policymakers, educators, and community organizations to promote linguistic diversity and cultural heritage to enhance the well-being and cohesion of immigrant communities. Unique Contribution to Theory, Practice and Policy: The Social Identity Theory, Bourdieu's Theory of Habitus and Cultural Capital and Critical Race Theory may be used to anchor future studies on language ideologies and identity construction in immigrant communities. The study recommended incorporating intersectional approaches into theoretical frameworks to better capture the dynamic nature of identity formation. It advised educators to adopt inclusive pedagogical strategies that value linguistic diversity and suggested training programs to enhance cultural competence. Policy recommendations included implementing bilingual and multilingual education programs, combating linguistic discrimination, and promoting linguistic diversity in public spaces. The study contributed to theory by integrating concepts of linguistic capital into social identity theories, offered practical guidance for supporting immigrant populations, and advocated for systemic policy changes to create a more equitable and inclusive society.

The Impact of Edge Computing on Real-Time Data Processing

Purpose: The study sought to explore the impact of edge computing on real-time data processing. Methodology: The study adopted a desktop research methodology. Desk research refers to secondary data or that which can be collected without fieldwork. Desk research is basically involved in collecting data from existing resources hence it is often considered a low cost technique as compared to field research, as the main cost is involved in executive’s time, telephone charges and directories. Thus, the study relied on already published studies, reports and statistics. This secondary data was easily accessed through the online journals and library. Findings: The findings reveal that there exists a contextual and methodological gap relating to the impact of edge computing on real-time data processing. Preliminary empirical review reveled that edge computing significantly reduced latency and enhanced efficiency in real-time data processing across various industries by bringing computational resources closer to data sources. It highlighted the technology's ability to handle large volumes of IoT-generated data, improve security by localizing data processing, and drive innovation and economic growth through new applications and services. Edge computing's decentralized approach proved essential for reliable and robust data handling, particularly in critical sectors like healthcare and finance, ultimately solidifying its importance in the digital transformation landscape. Unique Contribution to Theory, Practice and Policy: The Diffusion of Innovations Theory, Resource-Based View (RBV) and Sociotechnical Systems Theory may be used to anchor future studies on edge computing on real-time data processing. The study recommended expanding theoretical frameworks to include the unique aspects of edge computing, investing in robust edge infrastructure, and developing standardized protocols and best practices. It emphasized the need for government incentives and supportive regulatory frameworks to promote adoption, and suggested that academic institutions incorporate edge computing into curricula. Additionally, the study called for ongoing research to address emerging challenges and opportunities, ensuring continuous advancement and effective implementation of edge computing technologies.

Pragmatic Competence in Second Language Learners

Purpose: The general objective of the study was to analyze pragmatic competence in second language learners. Methodology: The study adopted a desktop research methodology. Desk research refers to secondary data or that which can be collected without fieldwork. Desk research is basically involved in collecting data from existing resources hence it is often considered a low cost technique as compared to field research, as the main cost is involved in executive’s time, telephone charges and directories. Thus, the study relied on already published studies, reports and statistics. This secondary data was easily accessed through the online journals and library. Findings: The findings reveal that there exists a contextual and methodological gap relating to pragmatic competence in second language learners. Preliminary empirical review revealed that pragmatic competence is crucial for effective communication in a second language, often lacking in learners despite their grammatical proficiency. Explicit instruction in pragmatic norms and strategies significantly improved learners' communication abilities. Cultural immersion and authentic language use were found essential for developing practical pragmatic skills. The study also highlighted the importance of considering individual differences, such as motivation and language aptitude, to tailor instruction and enhance pragmatic training effectively. Unique Contribution to Theory, Practice and Policy: The Speech Act Theory, Politeness Theory and Socio-Cultural Theory may be used to anchor future studies on pragmatic competence in second language learners. The study highlighted the need for a broader theoretical understanding that integrates sociolinguistics and cognitive sciences, recommended incorporating pragmatic skills into language curricula through authentic dialogues and interactive activities, and advocated for policies that prioritize pragmatic competence in language proficiency standards and assessments. It emphasized the importance of cross-cultural awareness and recommended collaborative efforts among educators, researchers, and policymakers to develop comprehensive frameworks. The study also suggested ongoing research to monitor the effectiveness of these changes and adapt educational practices accordingly.

Synthesis of sexual selection: a systematic map of meta-analyses with bibliometric analysis.

Sexual selection has been a popular subject within evolutionary biology because of its central role in explaining odd and counterintuitive traits observed in nature. Consequently, the literature associated with this field of study became vast. Meta-analytical studies attempting to draw inferences from this literature have now accumulated, varying in scope and quality, thus calling for a synthesis of these syntheses. We conducted a systematic literature search to create a systematic map with a report appraisal of meta-analyses on topics associated with sexual selection, aiming to identify the conceptual and methodological gaps in this secondary literature. We also conducted bibliometric analyses to explore whether these gaps are associated with the gender and origin of the authors of these meta-analyses. We included 152 meta-analytical studies in our systematic map. We found that most meta-analyses focused on males and on certain animal groups (e.g. birds), indicating severe sex and taxonomic biases. The topics in these studies varied greatly, from proximate (e.g. relationship of ornaments with other traits) to ultimate questions (e.g. formal estimates of sexual selection strength), although the former were more common. We also observed several common methodological issues in these studies, such as lack of detailed information regarding searches, screening, and analyses, which ultimately impairs the reliability of many of these meta-analyses. In addition, most of the meta-analyses' authors were men affiliated to institutions from developed countries, pointing to both gender and geographical authorship biases. Most importantly, we found that certain authorship aspects were associated with conceptual and methodological issues in meta-analytical studies. Many of our findings might simply reflect patterns in the current state of the primary literature and academia, suggesting that our study can serve as an indicator of issues within the field of sexual selection at large. Based on our findings, we provide both conceptual and analytical recommendations to improve future studies in the field of sexual selection.

Dry Needling and Acupuncture for Scars-A Systematic Review.

Objectives: This research aims to synthesize existing data on the evidence gap in scar treatment and evaluate the effectiveness of acupuncture and dry needling in treating scars and related symptoms. Methods: The article adhered to the PRISMA 2020 statement for recommended reporting elements in systematic reviews. The inclusion criteria followed the PICO methodology. The literature search was conducted using databases including PubMed, Cochrane Library, Semantic Scholar, Europe PubMed Central, and Google Scholar. Studies on acupuncture and dry needling for scar treatment were included. Because of the diversity of the studies' results and methodologies, a systematic review was conducted to organize and describe the findings without attempting a numerical synthesis. Results: Nineteen studies relevant to the article's theme were identified, with eleven selected for detailed review. The studies included two case reports on dry needling, one case series on dry needling, five case reports on acupuncture, two randomized controlled trials on acupuncture, and one case report on Fu's subcutaneous needling. A quality assessment was conducted using the JBI CAT and PEDro scales. Four case reports scored 7 points, one case scored 8 points, three cases were rated 6 points or lower, the case series was rated 6 points, and the randomized controlled trials scored 8 and 5 points. Most studies demonstrated a desired therapeutic effect in scar treatment with acupuncture and dry needling, but the level of evidence varied across studies. The analysis does not conclusively support the use of acupuncture and dry needling to improve scar conditions. Conclusions: Although dry-needling and acupuncture techniques are popular in physiotherapy, adequate scientific evidence is currently not available to support their effectiveness in scar treatment. There are gaps in the research methodology, a lack of randomized trials, and significant heterogeneity in the assessment of effects.

A sequential, multiple assignment, randomized trial design with a tailoring function.

We present a trial design for sequential multiple assignment randomized trials (SMARTs) that use a tailoring function instead of a binary tailoring variable allowing for simultaneous development of the tailoring variable and estimation of dynamic treatment regimens (DTRs). We apply methods for developing DTRs from observational data: tree-based regression learning and Q-learning. We compare this to a balanced randomized SMART with equal re-randomization probabilities and a typical SMART design where re-randomization depends on a binary tailoring variable and DTRs are analyzed with weighted and replicated regression. This project addresses a gap in clinical trial methodology by presenting SMARTs where second stage treatment is based on a continuous outcome removing the need for a binary tailoring variable. We demonstrate that data from a SMART using a tailoring function can be used to efficiently estimate DTRs and is more flexible under varying scenarios than a SMART using a tailoring variable.

Gaining English and other foreign languages through immersion: lessons from Indonesian polyglots

ABSTRACT Although there has been much research on second language learning, minimal literature reports how language learners learn multiple foreign languages through immersion. Further, a majority of these previous studies have been conducted using exclusively quantitative methods. In response to these empirical and methodological gaps, the current study adopts a qualitative case study to investigate how polyglots immerse themselves in particular settings during their path of learning multiple foreign languages. I collected data through demographic questionnaires and semi-structured interviews obtained from Indonesian polyglots. Findings indicated that polyglots learn multiple foreign languages through immersion contexts by using the target language in content-based language learning, mingling abroad in the target language, participating in a community of practice, and engaging the target language in social networks. The findings of this study also suggest that other language learners can adapt to the ways polyglots learn foreign languages through immersion.

Screen exposure, mental health and emotional well-being in the adolescent population: is it time for governments to take action?

During the last decade, a multitude of epidemiological studies with different designs have been published assessing the association between the use of digital media and psychological well-being, including the incidence...

Zoning of Degraded Areas Suitable for Implementation of Renewable Energy Generation Systems: Systematic Review

Objective: The objective of this study is to investigate and carry out a systematic review of the literature, with the aim of delving deeper into the topic of zoning and selection of areas for the implementation of renewable energy generating plants. Theoretical Framework: In this topic, the main concepts and theories that underpin the research are presented. The elaboration of the research protocol in four stages: elaboration of questions, choice of databases, definition of the search strategy and inclusion/exclusion criteria, providing a solid basis for understanding the context of the investigation. Method: The methodology adopted for this research comprises the choice of databases and definition of the search string based on the research protocol. Data collection was made by searching Scopus, Science Direct, Web of Science and Energy Citations Database - OSTI. Results and Discussion: The results obtained revealed that 309 studies met the research protocol, of which only 29 studies, after reading the abstract, were ready for the full article reading stage. Seven of these were accepted as relevant to the objective, being classified as accepted and participating in the information gathering to meet the proposed objective. Research Implications: The practical and theoretical implications of this research are discussed, providing insights into how the results can be applied or influence practices in the field of georeferencing. These implications may include public and private enterprises that aim for a less environmentally aggressive methodology for selecting sites for renewable energy generation. Originality/Value: This study contributes to the literature by showing the most relevant points and the main gaps in current selection methodologies. The relevance and value of this research are highlighted by representing a new way of thinking about choosing new locations for power plants.

Selected Pearls Indicators for Enhancing Financial Performance of Deposit Taking Savings and Credit Co-Operative Societies in Kenya

Even though DT-SACCOs in Kenya work extremely hard, their financial performance is greatly impacted by deteriorating level of capital sufficiency, liquidity, and asset quality which adversely affects their financial performance significantly. To address these issues, WOCCU has recommended the PEARLS framework to assist DT-SACCOS in mitigating credit risk management problems that are harming financial performance. In spite of an abundance of research on PEALRS and financial performance, conclusive findings about PEARLS's effect on DT-SACCOs' financial performance in Kenya remain to be seen. This is because majority of empirical study have conceptual gaps while some have contextual gaps and methodological gaps in addition to inconsistent result. The current study assessed PEARLS indicators which were observed as affecting the financial performance of Kenyan DT-SACCOs in an effort to close the knowledge gap. The specific objective to guide the study has been to find out the effect of; protection, effective financial structures, asset quality, and liquidity affect financial performance of Kenyan Deposit Taking Savings and credit co-operative societies. The research used a quantitative approach, which led to the adoption of the positivist paradigm and a correlational research design. The 176 DT-SACCOs that operated in Kenya between 2018 and 2022 were the target population. The study concludes that; protection has a statistically significant positive effect, effective financial structure among Kenyan DT-SACCOs has a statistically positive effect, assets quality has a statistically significant positive effect and liquidity has a positive effect on financial performance of Kenyan DT-SACCOs.

Personalization of the Car-Sharing Fleet Selected for Commuting to Work or for Educational Purposes—An Opportunity to Increase the Attractiveness of Systems in Smart Cities

Car-sharing services, which provide short-term vehicle rentals in urban centers, are rapidly expanding globally but also face numerous challenges. A significant challenge is the effective management of fleet selection to meet user expectations. Addressing this challenge, as well as methodological and literature gaps, the objective of this article is to present an original methodology that supports the evaluation of the suitability of vehicle fleets used in car-sharing systems and to identify the vehicle features preferred by users necessary for specific types of travel. The proposed methodology, which incorporates elements of transportation system modeling and concurrent analysis, was tested using a real-world case study involving a car-sharing service operator. The research focused on the commuting needs of car-sharing users for work or educational purposes. The study was conducted for a German car-sharing operator in Berlin. The research was carried out from 1 January to 30 June 2022. The findings indicate that the best vehicles for the respondents are large cars representing classes D or E, equipped with a combustion engine with a power of 63 to 149 kW, at least parking sensors, navigation, hands-free, lane assistant, heated seats, and high safety standards as indicated by Euro NCAP ratings, offered at the lowest possible rental price. The results align with market trends in Germany, which focus on the sale of at least medium-sized vehicles. This suggests a limitation of small cars in car-sharing systems, which were ideologically supposed to be a key fleet in those kinds of services. The developed methodology supports both system operators in verifying whether their fleet meets user needs and urban policymakers in effectively managing policies towards car-sharing services, including fleet composition, pricing regulations, and vehicle equipment standards. This work represents a significant step towards enhancing the efficiency of car-sharing services in the context of smart cities, where personalization and optimizing transport are crucial for sustainable development.

Examining Chinese university students’ English speaking enjoyment: Scale development and validation

Grounded in the process component model of emotion and a mixed-methods approach, this study developed the English Speaking Enjoyment Scale to fill the methodological gap in measuring enjoyment in foreign language speaking. The participants were three groups of Chinese university students of English. The first group of students (n = 53) participated in an open-ended survey aiming to elicit affective, cognitive, motivational, expressive, physiological, and other responses to enjoyment in English speaking. Thematic analysis of the collected qualitative data yielded 26 themes. The preliminary English Speaking Enjoyment Scale was created based on the first 13 themes and was examined in exploratory factor analysis (n = 466) and then confirmatory factor analysis (n = 535). A 12-item instrument was achieved, which constituted two subscales—the English Speaking Enjoyment Indications-Stable Subscale (nine items) and the English Speaking Enjoyment Indications-Dynamic Subscale (three items). Both the scale and subscales indicated good psychometric properties. Based on this, we argued that the English Speaking Enjoyment Scale is a sound scale to measure the target construct. The scale's similarities and differences in contrast to existing measures of domain-specific foreign language enjoyment are also discussed. Implications of the findings are put forward.

Symptom propagation in respiratory pathogens of public health concern: a review of the evidence.

Symptom propagation occurs when the symptom set an individual experiences is correlated with the symptom set of the individual who infected them. Symptom propagation may dramatically affect epidemiological outcomes, potentially causing clusters of severe disease. Conversely, it could result in chains of mild infection, generating widespread immunity with minimal cost to public health. Despite accumulating evidence that symptom propagation occurs for many respiratory pathogens, the underlying mechanisms are not well understood. Here, we conducted a scoping literature review for 14 respiratory pathogens to ascertain the extent of evidence for symptom propagation by two mechanisms: dose-severity relationships and route-severity relationships. We identify considerable heterogeneity between pathogens in the relative importance of the two mechanisms, highlighting the importance of pathogen-specific investigations. For almost all pathogens, including influenza and SARS-CoV-2, we found support for at least one of the two mechanisms. For some pathogens, including influenza, we found convincing evidence that both mechanisms contribute to symptom propagation. Furthermore, infectious disease models traditionally do not include symptom propagation. We summarize the present state of modelling advancements to address the methodological gap. We then investigate a simplified disease outbreak scenario, finding that under strong symptom propagation, isolating mildly infected individuals can have negative epidemiological implications.

Comparative safety performance of autonomous- and human drivers: A real-world case study of the Waymo Driver

After several years of public road testing, the commercial deployment of fully autonomous vehicles—or Automated Driving Systems (ADS)—is poised to scale substantially following significant technological advancements and recent regulatory approvals. However, the fundamental question of whether an ADS is safer than its human counterparts remain largely unsolved due to several challenges in establishing an appropriate real-world safety comparison method. As scaling ensues, the lack of an established method can contribute to misinterpretations or uncertainties regarding ADS safety and impede the continuous and consistent assessment of ADS performance. This study introduces three research developments to define a robust and replicable safety comparison method to address this critical methodological gap. First, we introduce the use of liability insurance claims data to measure the comparative safety between ADS and human drivers. Second, we use Swiss Re insurance claims data to establish the first zip code- and responsibility-calibrated human performance benchmark, composed of over 600,000 private passenger vehicle claims and 125 billion miles of driving exposure. Third, we perform a case study by applying the developed baseline to evaluate the safety impact of the Waymo Driver. We find that when benchmarked against zip code-calibrated human baselines, the Waymo Driver significantly improves safety towards other road users. The comparison method established in this study can be replicated for other regions or ADS deployments to aid the decision-making of ADS safety stakeholders such as regulators, and instill trust in the general public.

From Seeing to Understanding: The Conceptual Metaphor UNDERSTANDING IS LIGHT in Julian of Norwich’s “Revelations of Divine Love”

RESEARCH OBJECTIVE: The article discusses the interplay between language, cognition and culture from a cognitive diachronic perspective, focusing on the relation between religion and metaphorical thought. It investigates the role of the conceptual metaphor UNDERSTANDING IS LIGHT in religious discourse, using the example of The Revelations of Divine Love, written by Julian of Norwich, a late medieval anchoress. THE RESEARCH PROBLEM AND METODS: The paper draws on the Extended Conceptual Metaphor approach, Zoltán Kövecses’s elaboration of the Conceptual Metaphor Theory (CMT). The universalist bias of CMT means that the theory tends to ignore the sociocultural context of historical data, prioritising the influence of universal human embodiment on metaphorical thought. Using Kövecses’s approach, the paper shows how the gap in CMT methodology may be bridged to yield more reliable results. THE PROCESS OF ARGUMENTATION: The present study connects Kövecses’s approach to Cognitive Linguistic research into sociocultural situatedness. To exemplify the problem, the analysis examines the cognitive‑cultural underpinnings of Julian’s use of the metaphor UNDERSTAND‑ ING IS LIGHT. RESEARCH RESULTS: The analysis shows that the metaphorical conceptualisation pattern may well derive from Julian’s sociocultural situatedness. The paper indicates that the anchoress’s metaphorical thought should be seen as embedded in the late medieval sociocultural context, rather than being considered solely in terms of universal aspects of embodiment. CONCLUSIONS, RECOMMENDATIONS AND THE APPLICATIVE VALUE OF RESEARCH: The study concludes that the idea of sociocultural situatedness may be pivotal in the analyses of historical texts. It seems important to incorporate this idea into Kövecses’s approach, which may inform the methodology of cognitive diachronic research into metaphorical conceptualisations. Furthermore, the results may be applied to teaching students how to approach historical texts, helping them gain a better understanding of the relation between metaphorical thought and culture.

Effect of Sampling Rate, Filtering, and Torque Onset Detection on Quadriceps Rate of Torque Development and Torque Steadiness.

Quadriceps rate of torque development (RTD) and torque steadiness are valuable metrics for assessing explosive strength and the ability to control force over a sustained period of time, which can inform clinical assessments of knee function. Despite their widespread use, there is a significant gap in standardized methodology for measuring these metrics, which limits their utility in comparing outcomes across different studies and populations. To address these gaps, we evaluated the influence of sampling rates, signal filtering, and torque onset detection on RTD and torque steadiness. Twenty-seven participants with a history of a primary anterior cruciate ligament reconstruction (N = 27 (11 male/16 female), age = 23 ± 8 years, body mass index = 26 ± 4 kg/m2) and thirty-two control participants (N = 32 (13 male/19 female), age = 23 ± 7 years, body mass index = 23 ± 3 kg/m2) underwent isometric quadriceps strength testing, with data collected at 2222 Hz on an isokinetic dynamometer. The torque-time signal was downsampled to approximately 100 and 1000 Hz and processed using a low-pass, zero-lag Butterworth filter with a range of cutoff frequencies spanning 10-200 Hz. The thresholds used to detect torque onset were defined as 0.1 Nm, 1 Nm, and 5 Nm. RTD between 0 and 100 ms, 0 and 200 ms, and 40-160 ms was computed, as well as absolute and relative torque steadiness. Relative differences were computed by comparing all outcomes to the "gold standard" values computed, with a sampling rate of 2222 Hz, a cutoff frequency in the low-pass filter of 150 Hz, and torque onset of 1 Nm, and compared utilizing linear mixed models. While all combinations of signal collection and processing parameters reached statistical significance (p < 0.05), these differences were consistent between injured and control limbs. Additionally, clinically relevant differences (+/-10%) were primarily observed through torque onset detection methods and primarily affected RTD between 0 and 100 ms. Although measurements of RTD and torque steadiness were generally robust against diverse signal collection and processing parameters, the selection of torque onset should be carefully considered, especially in early RTD assessments that have shorter time epochs.

Impact of Pre-Sleep Visual Media Exposure on Dreams: A Scoping Review.

A body of experimental research has aimed to investigate processes underlying dream formation by examining the effects of a range of pre-sleep stimuli and events on subsequent dream content. Given its ever-growing presence and salience in people's everyday lives, pre-sleep media consumption stands out as a key variable that could influence people's dreams. We conducted a scoping review to evaluate the experimental evidence of the effects of pre-sleep exposure to visual media on dream content. A systematic search on PubMed, PsycInfo, and Web of Science using terms related to moving visual media and dreams yielded 29 studies meeting the inclusion criteria. Overall, we found modest yet varied effects of pre-sleep exposure to visual media on dream content, with rates of stimulus-related incorporation ranging from 3% to 43% for REM dream reports, 4% to 30% for NREM sleep mentation reports, and between 11% and 35% for home dream reports. Our review highlights the large methodological heterogeneity and gaps across studies, the general difficulty in influencing dream content using pre-sleep exposure to visual media, and suggests promising venues for future research to advance our understanding of how and why digital media may impact people's dreams.

Current insights into the effects of cationic biocides exposure on Enterococcus spp.

Cationic biocides (CBs), such as quaternary ammonium compounds and biguanides, are critical for controlling the spread of bacterial pathogens like Enterococcus spp., a leading cause of multidrug-resistant healthcare-associated infections. The widespread use of CBs in recent decades has prompted concerns about the potential emergence of Enterococcus spp. populations exhibiting resistance to both biocides and antibiotics. Such concerns arise from their frequent exposure to subinhibitory concentrations of CBs in clinical, food chain and diverse environmental settings. This comprehensive narrative review aimed to explore the complexity of the Enterococcus' response to CBs and of their possible evolution toward resistance. To that end, CBs' activity against diverse Enterococcus spp. collections, the prevalence and roles of genes associated with decreased susceptibility to CBs, and the potential for co- and cross-resistance between CBs and antibiotics are reviewed. Significant methodological and knowledge gaps are identified, highlighting areas that future studies should address to enhance our comprehension of the impact of exposure to CBs on Enterococcus spp. populations' epidemiology. This knowledge is essential for developing effective One Health strategies that ensure the continued efficacy of these critical agents in safeguarding Public Health.

Co-creating a global shared research agenda on violence against women in low- and middle-income countries

BackgroundDespite a large growth in evidence on violence against women (VAW) over the last 25 years, VAW persists, as do gaps in the field’s knowledge of how to prevent and respond to it. To ensure that research on VAW in low- and middle-income countries (LIMCs) is addressing the most significant gaps in knowledge, and to prioritise evidence needs to reduce VAW and better support victims/survivors, the Sexual Violence Research Initiative (SVRI) and Equality Institute (EQI) led a process of developing a global shared research agenda (GSRA) on VAW in LMICs.MethodsThe GSRA was developed through a six-stage adaptation of the Child Health and Nutrition Research Initiative (CHNRI) method, which draws on the principle of the ‘wisdom of the crowd’. These steps included: a review of the literature on VAW in LMICs and development of domains; the generation of research questions within four domains by an Advisory Group; the consolidation of research questions; scoring of research questions by a Global Expert Group and the Advisory Group according to three criteria (applicability, effectiveness and equity); consultation and validation of the findings with the Advisory Group; and wide dissemination of the findings.ResultsThe highest ranked research questions in the GSRA pertain to the domain of Intervention research, with some highly ranked questions also pertaining to the domain of Understanding VAW in its multiple forms. Questions under the other two domains, Improving existing interventions, and Methodological and measurement gaps, were not prioritised as highly by experts. There was strong consistency in top ranked research questions according to experts’ characteristics, albeit with some important differences according to experts’ gender, occupation and geographical location.ConclusionsThe GSRA findings suggest that currently the VAW field is shifting towards intervention research after several decades of building evidence on understanding VAW, including prevalence, drivers and impacts of violence. The findings also suggest a strong emphasis on under-served populations, and under-researched forms of VAW. Future priority setting exercises in LMICs that seek to decolonise knowledge should ensure that methodologies, and modalities of engagement, put diverse voices at the centre of engagement.Trial registration Not applicable

Economic valuation of Harmful Algal Blooms (HAB): Methodological challenges, policy implications, and an empirical application

This paper presents a literature review on the economic valuation of Harmful Algal Bloom (HAB) impacts, identifying methodological challenges, policy implications, and gaps. Unlike previous literature reviews, we are particularly interested in determining whether the economic valuations of HABs have included a policy analysis. Our paper provides a conceptual framework that allows us to evaluate whether applications of economic studies of HABs are consistent with a well-defined economic welfare analysis. It links methodologies and techniques with welfare measures, data types, and econometric methods. Based on this literature review, we present an example of economic valuation that closes the gap between policy analysis and valuation methodology. We use a stated preferences study to estimate a “seafood price premium” to create a fund to support monitoring systems and for damage compensation to producers in the presence of HABs. Results show that most economic studies on HAB valuation do not consider any cost-benefit analysis of a defined policy intervention. The predominant economic valuation methodology uses market information to estimate a proxy for welfare measure of the impact of HABs (loss revenue, sales, exports). Moreover, nonuse and indirect use values are ignored in the literature, while stated preference methodologies are underrepresented. Finally, results from 1293 surveys found that people are willing to pay an increase in the price of mussels to support a policy that informs on HAB. However, the lack of institutional trust affects the probability of paying negatively.