Multiple Methodologies Research Articles

Introduction to the special issue on ‘new directions in understanding philanthropic activities’

Abstract The papers in this Special Issue contribute to a rich literature on the economics of charitable giving. They address several novel questions covering a wide range of open issues in the philanthropic realm. For example, many of our papers study what works and what does not work for a charitable organization to boost giving money or time. Other papers examine fundraising mechanisms and possible underlying motives shaping donors’ giving behaviour. Our papers combine multiple methodologies, such as theory, observational data as well as laboratory and field experiments, to address these issues. Taken together, our Special Issue offers novel insights and approaches in the field of charitable giving that will be of interest to academics and policymakers alike.

Vicenarian of workplace incivility: a bibliometric analysis and systematic review

PurposeThe purpose of this paper is twofold: first is to map and analyse prominent contributions, current dynamics, patterns, gaps and research prospects in the field of workplace incivility (WI); second is to provide a coherent theoretical research framework for future research.Design/methodology/approachThis study adopts a two-step analysis approach by combining bibliometric analysis and systematic literature review to explore the research topic of WI, besides, using multiple methodologies including bibliometric, network and content analyses.FindingsThis study found that L. M. Cortina and M. S. Hershcovis are the top two most influential authors among all authors in the sample publications. Journal of Occupational Health Psychology is one of the top-ranking journal that often publishes this topic of articles. USA and The Bowling Green State University are the most influential country and institutions, respectively. Besides, burnout and retention are also common keywords were identified based on keywords co-occurrence map, showing that WI has a major impact on burnout and employee retention. Based on the above analysis, this paper constructed a theoretical research framework of WI.Research limitations/implicationsThis paper only draw data from one database—Scopus—which cannot provide broad coverage of the research topic. WI research trends and trajectories may be assessed to enable academics and practitioners better understand the current and future trends and research directions. Future studies in this field might use the findings as a starting point to highlight the nature of the topic.Originality/valueThis study is the first to use an systematic literature review (SLR) to evaluate the association between WI and other organizational behaviour. The study contributions are fourfold, extending the work and overcoming the methodologies of prior research that only focussed on characteristics of incivility in nursing. In addition, this paper presents an in-depth analysis of this topic and provides a comprehensive theoretical research framework for future study.

Qualitative Research for Interdisciplinary Studies: Multiple Methodologies for Multiple Disciplines

The intent of research is to improve the lives of individuals and communities. Through qualitative research specifically, we can deepen our understanding of reality and investigate the nuances of how people experience and make meaning from it. Qualitative research, as a scientific approach, enables researchers to examine phenomena from the point of view of those who live it. Qualitative researchers seek to understand individuals’ experiences, perceptions, thoughts, and emotions that are constructed through social rules, cultural patterns shaped by the communities and societies in which they live. Although research objectives differ, qualitative research is defined by a systematic process of researchers' identifying and interrogating their positionality, subjectivities, and influential paradigms. In this introduction readers will note similar methodologies; however, these are presented in the context of multiple disciplines. This volume demonstrates the evolving interdisciplinarity of qualitative research methods that engages scholars in innovative conversation. This editorial offers a peek at the interdisciplinary potential of qualitative research. Such interdisciplinary prowess is found in Volume 16 of New Trends in Qualitative Research.

The impact of an educational intervention on physician leadership competencies among rural and remote primary care doctors in Aceh, Indonesia

PurposeThis study aims to examine how an educational intervention, using the lens of the LEADS framework, can influence the development of primary care doctors’ leadership skills in Aceh, Indonesia. In order to persevere in the face of inadequate resources and infrastructure, particularly in rural and remote settings of low- and middle‐income countries, physicians require strong leadership skills. However, there is a lack of information on leadership development in these settings.Design/methodology/approachThis study applied an educational intervention consisting of a two-day workshop. The authors evaluated the impact of the workshop on participants’ knowledge and skill by combining quantitative pre- and post-intervention questionnaires (based on Levels 1 and 2 of Kirkpatrick’s model) with qualitative post-intervention in-depth interviews, using a phenomenological approach and thematic analysis.FindingsThe workshop yielded positive results, as evidenced by participants’ increased confidence to apply and use the information and skills acquired during the workshop. Critical success factors were as follows: participants were curiosity-driven; the use of multiple learning methodologies that attracted participants; and the use of authentic scenarios as a critical feature of the program.Originality/valueThe intervention may offer a preliminary model for improving physician leadership skills in rural and remote settings by incorporating multiple teaching approaches and considering local cultural norms.

An Online Database of Benchmark Problems for Verification of Inverse Problems Computer Codes

Verification and validation are a fundamental step in the development process of computer codes, particularly when seeking to numerically evaluate physical phenomena. Multiple methodologies can be applied, one of which is the use of benchmark solutions. The field of inverse problems is no exception, for not only the forward problem must be verified and validated, but also the inversion technique (such as minimization methods, Bayesian inference, and level-set methods). To address the latter, this work outlines an online database of benchmark inverse problems, for the purposes of verifying computer codes for inverse problems. This online database provides test problems with suggested values for the exact parameters and regularization parameters, as well as synthetic data and their respective estimated values. Both parameter and function estimation problems are available. This database will be continuously updated over time, with new problems and/or solutions via different techniques. Users are also free to contribute with problems/solutions of their own. This data being freely and easily accessible online will be of great value for young and upcoming researchers in the field of inverse problems. The database can be accessed at http://inversetoolkit.uff.br/.

A late-surviving phytosaur from the northern Atlantic rift reveals climate constraints on Triassic reptile biogeography

BackgroundThe origins of all major living reptile clades, including the one leading to birds, lie in the Triassic. Following the largest mass extinction in Earth’s history at the end of the Permian, the earliest definite members of the three major living reptile clades, the turtles (Testudines), crocodylians and birds (Archosauria), and lizards, snakes, amphisbaenians, and Tuatara (Lepidosauria) appeared. Recent analyses of the Triassic reptile fossil record suggest that the earliest diversifications in all three of these clades were tightly controlled by abrupt paleoclimate fluctuations and concordant environmental changes. Yet, this has only been preliminarily tested using information from evolutionary trees. Phytosauria consists of superficially crocodylian-like archosaurs that either form the sister to the crown or are the earliest divergence on the crocodylian stem and are present throughout the Triassic, making this clade an excellent test case for examining this biogeographic hypothesis.ResultsHere, I describe a new phytosaur, Jupijkam paleofluvialis gen. et sp. nov., from the Late Triassic of Nova Scotia, Canada, which at that time sat in northern Pangaea near the northern terminus of the great central Pangean rift. As one of the northernmost occurrences of Phytosauria, J. paleofluvialis provides critical new biogeographic data that enables revised estimations of phytosaur historical biogeography along phylogenies of this clade built under multiple methodologies. Reconstructions of phytosaur historical biogeography based on different phylogenies and biogeographic models suggest that phytosaurs originated in northern Pangaea, spread southward, and then dispersed back northward at least once more during the Late Triassic.ConclusionsThe results presented in this study link phytosaur biogeography to major changes to Triassic global climate and aridity. Together with the earliest dinosaurs and several other reptile lineages, phytosaur diversification and migration appear to have been restricted by the formation and loss of arid belts across the Pangean supercontinent.

P-034 Clinical experience with expanded carrier screening results on a sperm donor applicant population

Abstract Study question What is the frequency of clinically significant results from expanded carrier screening (ECS) in a sperm donor applicant population and how should these be managed? Summary answer ECS results revealed clinically significant information for approximately 1 in 51 donor applicants, which warrant specific management considerations in the context of third-party reproduction. What is known already The American Society of Reproductive Medicine (ASRM) Practice Committee published guidance in January 2021 that outlines the recommended carrier screening approach for gamete donors. However, there is no additional direction related to results management including donor suitability, counseling, and informed consent. Prior studies have illustrated the high frequency of donors who are identified as carriers of one or more recessive disorders on an ECS panel; thus, excluding all prospective gamete donors identified as carriers for recessive conditions is not feasible or appropriate given the availability of reciprocal screening for the reproductive partner. Study design, size, duration A retrospective review of donor genetic screening records from July 2017 to December 2021 was performed. Relevant data was extracted and categorized by carrier screening result. Genetic counselors evaluated the health and reproductive risks to the potential donors (PDs) associated with being a carrier of a pathogenic mutation in each gene using published data, reference laboratory interpretations, and the professional health management guidelines. Participants/materials, setting, methods ECS was performed on sperm donor applicants as part of the routine donor qualification process. Testing was performed at an outside reference laboratory after participants provided written consent for genetic testing. The genes included on the ECS panel were analyzed using multiple methodologies. Specific methodologies varied based upon laboratory offerings at the time in which the potential donor entered the donor program. Main results and the role of chance A total of 966 PDs had ECS during the specified timeframe. Of these applicants, 19 total PDs (1.97%) were identified as having potentially significant health risks based on their ECS results. Of those 19 PDs, eleven were found to be either heterozygous or hemizygous for conditions that may convey significant health risks to carriers. Of these, nine were positive for a variant in a gene typically associated with an AR condition and two carried variants in genes associated with X-linked conditions. Eight additional PDs were found to be either compound heterozygous or homozygous for variants in a gene associated with an autosomal recessive condition. Limitations, reasons for caution Donor recruitment was limited to select major metropolitan areas in the U.S.; thus, donor applicants may not represent all ethnic groups or socioeconomic backgrounds. Additionally, this study described results from a single reference laboratory and does not illustrate the variation in ECS panels across genetic testing laboratories. Wider implications of the findings While this study examined ECS results in a donor applicant population, findings are also applicable to the general reproductive population and illustrate the necessity of informed consent and post-test counseling. In some cases, ECS may provide insight on potential future health risks and health management opportunities. Trial registration number Not applicable

Optimizing Neural Networks for Imbalanced Data

Imbalanced datasets pose pervasive challenges in numerous machine learning (ML) applications, notably in areas such as fraud detection, where fraudulent cases are vastly outnumbered by legitimate transactions. Conventional ML methods often grapple with such imbalances, resulting in models with suboptimal performance concerning the minority class. This study undertakes a thorough examination of strategies for optimizing supervised learning algorithms when confronted with imbalanced datasets, emphasizing resampling techniques. Initially, we explore multiple methodologies, encompassing Gaussian Naive Bayes, linear and quadratic discriminant analysis, K-nearest neighbors (K-NN), support vector machines (SVMs), decision trees, and multi-layer perceptron (MLP). We apply these on a four-class spiral dataset, a notoriously demanding non-linear classification problem, to gauge their effectiveness. Subsequently, we leverage the garnered insights for a real-world credit card fraud detection task on a public dataset, where we achieve a compelling accuracy of 99.937%. In this context, we compare and contrast the performances of undersampling, oversampling, and the synthetic minority oversampling technique (SMOTE). Our findings highlight the potency of resampling strategies in augmenting model performance on the minority class; in particular, oversampling techniques achieve the best performance, resulting in an accuracy of 99.928% with a significantly low number of false negatives (21/227,451).

Examining Seasonality in Tourism with Special Reference to the Recent Effects of Covid-19 – The Case of the Sopron-Fertő Tourism Destination (Hungary)

Abstract Seasonality, meaning that the vast majority of tourist locations do not distribute arrivals evenly throughout the year, in tourism, it is widely regarded as one of the most crucial problems for the majority of the world’s destinations, particularly in terms of sustainability. Nevertheless, despite its importance and that this unbalanced nature has become one of tourism’s most distinguishing characteristics, we can say that no globally comparable international measurement of seasonality is currently available. Based on the abovementioned phenomena, the main objective of the present study and research is to detect and analyse the tourism seasonality of a case study area, the Sopron-Fertő destination (Hungary), using multiple methodologies such as the Gini index, a representative consumer questionnaire and expert interviews. The analysis demonstrates seasonality in tourism demand between 2008–2021, based on which implications on product development and new directions and challenges, influenced by the most recent impacts of the COVID-19 pandemic, are revealed and suggested.

Airbnb’s Negative Externalities from the Consumer’s Perspective: How the Effects Influence the Booking Intention of Potential Guests

Local governments worldwide have been making efforts to regulate Airbnb and its negative externalities (NEs), as peer-to-peer (P2P) accommodations have grown exponentially. This study seeks to explore the perceptions of potential guests regarding the NEs of Airbnb accommodation by using a contextual approach and multiple methodologies to understand the effects of their choice. Through an experiment involving the collection of data on the responses of 296 participants from Taiwan’s post-Millennials and ordered probit model estimations, this study provides a quantitative analysis to distinguish the factors and NEs affecting the likelihood of choosing Airbnb. Under the circumstance where concern for NEs was not included, the results indicated that the accommodation environments and interactive experiences were among the significant Airbnb service features that attracted consumers. However, when NE factors were added a potential effect was identified, with the community environment and security assurances being factors that decreased the likelihood of choosing Airbnb. Previous experiences of staying in hotels were also found to reduce the acceptance of Airbnb as an accommodation mode. These research findings provide insights into Airbnb preferences which could assist in improving the administrative and managerial efforts of P2P accommodation platforms.

Peroxidase-Mimicking Ir-Te Nanorods for Photoconversion-Combined Multimodal Cancer Therapy.

Owing to multiple physicochemical properties, the combination of hybrid elemental compositions of nanoparticles can be widely utilized for a variety of applications. To combine pristine tellurium nanorods, which act as a sacrificing template, with another element, iridium-tellurium nanorods (IrTeNRs) were synthesized via the galvanic replacement technique. Owing to the coexistence of iridium and tellurium, IrTeNRs exhibited unique properties, such as peroxidase-like activity and photoconversion. Additionally, the IrTeNRs demonstrated exceptional colloidal stability in complete media. Based on these properties, the IrTeNRs were applied to in vitro and in vivo cancer therapy, allowing for the possibility of multiple therapeutic methodologies. The enzymatic therapy was enabled by the peroxidase-like activity that generated reactive oxygen species, and the photoconversion under 473, 660 and 808 nm laser irradiation induced cancer cell apoptosis via photothermal and photodynamic therapy.

An Ontology Development Methodology Based on Ontology-Driven Conceptual Modeling and Natural Language Processing: Tourism Case Study

Ontologies provide a powerful method for representing, reusing, and sharing domain knowledge. They are extensively used in a wide range of disciplines, including artificial intelligence, knowledge engineering, biomedical informatics, and many more. For several reasons, developing domain ontologies is a challenging task. One of these reasons is that it is a complicated and time-consuming process. Multiple ontology development methodologies have already been proposed. However, there is room for improvement in terms of covering more activities during development (such as enrichment) and enhancing others (such as conceptualization). In this research, an enhanced ontology development methodology (ON-ODM) is proposed. Ontology-driven conceptual modeling (ODCM) and natural language processing (NLP) serve as the foundation of the proposed methodology. ODCM is defined as the utilization of ontological ideas from various areas to build engineering artifacts that improve conceptual modeling. NLP refers to the scientific discipline that employs computer techniques to analyze human language. The proposed ON-ODM is applied to build a tourism ontology that will be beneficial for a variety of applications, including e-tourism. The produced ontology is evaluated based on competency questions (CQs) and quality metrics. It is verified that the ontology answers SPARQL queries covering all CQ groups specified by domain experts. Quality metrics are used to compare the produced ontology with four existing tourism ontologies. For instance, according to the metrics related to conciseness, the produced ontology received a first place ranking when compared to the others, whereas it received a second place ranking regarding understandability. These results show that utilizing ODCM and NLP could facilitate and improve the development process, respectively.

Comparison of optical and geochemical thermal maturity parameters over a stratigraphically controlled natural transect

Thermal maturity is a fundamental parameter in understanding organic matter evolution during the burial of sedimentary rocks. To this end, numerous optical and geochemical thermal maturity parameters have been proposed, most commonly applied are reflectance or programmed pyrolysis Tmax. Reflectance of vitrinite macerals, or increasingly commonly of solid bitumen macerals, is the classical and well-standardized technique in thermal maturity studies. However, this technique can be influenced by operator bias in acquisition and interpretation. The low cost and wide availability of programmed pyrolysis data has led to the adoption of Tmax as a primary thermal maturity proxy, particularly in industrial studies. However, programmed pyrolysis was originally conceived as a screening tool and significant inconsistencies of Tmax with thermal maturation have been reported.Detailed comparison of maturity proxies is often hampered by the availability of suitable sets of samples from a maturity gradient along uniform facies. Since many of these proxies are influenced by formation specific parameters, the most valuable comparisons must be made using stratigraphically and lithologically controlled sample sets, which are relatively rare. This work examines a natural thermal maturity transect, integrating multiple methodologies to give a detailed discussion of the applicability of optical and geochemically based thermal maturity indicators in the immature to early generation range. This study utilizes a stratigraphically constrained sample set of Upper Cretaceous strata in western Canada taken from 10 wells ranging in thermal maturity from approximately 0.2 to 0.8 %VRo and is based on application of three independent methodological approaches: reflectance measurements, Tmax, and hopanoid and steroid based molecular maturity ratios.Data and correlation equations between major thermal maturity indicators demonstrates solid bitumen reflectance at pre-oil window maturity levels lies along a continuum. Reporting values within somewhat inconsistent classification schemes of bituminite and solid bitumen maceral, as suggested in some recent studies, diminishes the applicability and usefulness of this parameter. Comparison of microscopy and pyrolysis-based maturity proxies with the diagenetic evolution of hopanoids and steroids revealed a robust covariance. Individual molecular maturity parameters are unsuitable to cover the full range of thermal maturity but the wide array of proxies applicable in narrower maturity ranges allows for an optimized selection of those parameters within a given maturity interval. Pyrolysis-derived Tmax and optical determination of OM properties are effective covering a wide range of conditions ranging from the eogenetic to catagenetic stages. Fluorescence analysis is most robust in the eogenetic to diagenetic stages, whereas reflectance measurements provide higher confidence levels at elevated diagenetic or catagenetic stages. Given the limitations of individual thermal maturity parameters, thermal maturity investigations following an integrative, multi-disciplinary approach will limit the impact of uncertainty from any one parameter, improving the odds of achieving a more reliable maturity assessment.

Introduction to Dinosaurs: New Ideas from Old Bones papers honoring Peter Dodson.

This special volume of The Anatomical Record honors the life-long commitment to anatomy and paleontology by Professor Peter Dodson (Emeritus, University of Pennsylvania). Peter's legacy is not only rooted in his own research interests, but also in the wealth of former students he mentored over his career, many of whom have made their own new contributions to the fields of anatomy and paleontology through original scientific investigation. Within these 18 scientific papers, which cover multiple taxa, multiple continents, and multiple methodologies, each of the contributors brought to this volume their own unique work that can be traced back to some form of inspiration by the honoree.

Low Leakage CMOS Design Technique with Stable State Retention

In this research, a new hybrid design technique for low-power complementary metal–oxide semiconductor (CMOS) circuits is proposed which utilizes the advantages of multiple design methodologies such as sleep-transistors, forced-stack, and variable-threshold CMOS (VTCMOS), and is integrated with a buffer circuit. Based on the proposed technique, the CMOS inverter and two-input NAND circuits are simulated in LTspice software using 16 nm high-performance (HP) and low-power (LP) predictive technology models (PTM). Upon comparison with available leakage reduction techniques, the proposed approach demonstrates considerably low power, delay and power delay product (PDP) while maintaining output-logic integrity. The impact of the process parameter, voltage, and temperature (PVT) variations are observed through Monte Carlo simulations, which depict that the proposed model provides uniform sensitivity in terms of the performance metrics within ±3σ statistical variations from the mean. The circuit area of the proposed technique is also estimated and compared with existing methods using the Cadence Virtuoso platform.

Comparative analysis of tissue-specific genes in maize based on machine learning models: CNN performs technically best, LightGBM performs biologically soundest.

Introduction: With the advancement of RNA-seq technology and machine learning, training large-scale RNA-seq data from databases with machine learning models can generally identify genes with important regulatory roles that were previously missed by standard linear analytic methodologies. Finding tissue-specific genes could improve our comprehension of the relationship between tissues and genes. However, few machine learning models for transcriptome data have been deployed and compared to identify tissue-specific genes, particularly for plants. Methods: In this study, an expression matrix was processed with linear models (Limma), machine learning models (LightGBM), and deep learning models (CNN) with information gain and the SHAP strategy based on 1,548 maize multi-tissue RNA-seq data obtained from a public database to identify tissue-specific genes. In terms of validation, V-measure values were computed based on k-means clustering of the gene sets to evaluate their technical complementarity. Furthermore, GO analysis and literature retrieval were used to validate the functions and research status of these genes. Results: Based on clustering validation, the convolutional neural network outperformed others with higher V-measure values as 0.647, indicating that its gene set could cover as many specific properties of various tissues as possible, whereas LightGBM discovered key transcription factors. The combination of three gene sets produced 78 core tissue-specific genes that had previously been shown in the literature to be biologically significant. Discussion: Different tissue-specific gene sets were identified due to the distinct interpretation strategy for machine learning models and researchers may use multiple methodologies and strategies for tissue-specific gene sets based on their goals, types of data, and computational resources. This study provided comparative insight for large-scale data mining of transcriptome datasets, shedding light on resolving high dimensions and bias difficulties in bioinformatics data processing.

USING MULTIPLE METHODOLOGIES TO EVALUATE GERIATRIC WORKFORCE DEVELOPMENT PROGRAMS: A FALL PREVENTION EXAMPLE

This paper highlights an effective model for evaluating geriatric workforce enhancement professional development programs, using multiple methodologies (i.e., quantitative and qualitative). An adaptation of Kirkpatrick's (1994; 2010) model of evaluation was implemented to assess the evidence-based fall prevention program delivered at a Program for All Inclusive Care for the Elderly site. The purpose of this paper is to describe the program's design, data collection activities and instruments, and findings, and also suggest strategies for successfully replicating the approach.

Consilience Across Multiple, Independent Genomic Data Sets Reveals Species in a Complex with Limited Phenotypic Variation.

Species delimitation in the genomic era has focused predominantly on the application of multiple analytical methodologies to a single massive parallel sequencing (MPS) data set, rather than leveraging the unique but complementary insights provided by different classes of MPS data. In this study, we demonstrate how the use of two independent MPS data sets, a sequence capture data set and a single-nucleotide polymorphism (SNP) data set generated via genotyping-by-sequencing, enables the resolution of species in three complexes belonging to the grass genus Ehrharta, whose strong population structure and subtle morphological variation limit the effectiveness of traditional species delimitation approaches. Sequence capture data are used to construct a comprehensive phylogenetic tree of Ehrharta and to resolve population relationships within the focal clades, while SNP data are used to detect patterns of gene pool sharing across populations, using a novel approach that visualizes multiple values of K. Given that the two genomic data sets are independent, the strong congruence in the clusters they resolve provides powerful ratification of species boundaries in all three complexes studied. Our approach is also able to resolve a number of single-population species and a probable hybrid species, both of which would be difficult to detect and characterize using a single MPS data set. Overall, the data reveal the existence of 11 and five species in the E. setacea and E. rehmannii complexes, with the E. ramosa complex requiring further sampling before species limits are finalized. Despite phenotypic differentiation being generally subtle, true crypsis is limited to just a few species pairs and triplets. We conclude that, in the absence of strong morphological differentiation, the use of multiple, independent genomic data sets is necessary in order to provide the cross-data set corroboration that is foundational to an integrative taxonomic approach. [Species delimitation; genotyping-by-sequencing; population structure; integrative taxonomy; cryptic species; Ehrharta (Poaceae).].

A new multidimensional group intervention for cognitive and psychosocial functioning for older adults: Background, content, and process evaluation.

An essential element of quality aging is the maintenance of cognitive and psychosocial functioning. The principal objective of the present paper was to present the theoretical framework, content and process evaluation of a newly developed multi-dimensional group intervention designed to strengthen/improve areas of cognitive and psychosocial functioning in adults over 65. The intervention implements multiple methodologies aiming to facilitate contextual integration of learned concepts and strategies derived from clinical psychology and rehabilitation. It moves seamlessly on the cognition-emotion axes and consists of five active ingredients selected to address challenges associated with aging: Memory Compensatory Strategies, Problem-Solving, Emotion Regulation, Mindfulness, and Locus of Control. Thirty participants joined the intervention group aged 65-75 years (M = 69.03; SD = 3.04). All 30 participants who were included in the intervention group completed the program. Results from the Participant Satisfaction Scale indicate that the program was perceived very positively by participants, who also reported implementing their newly learned strategies in activities of daily life. Furthermore, there was high correlation between internal locus of control and the learned strategies. The outcomes of this analysis indicate that the intervention is feasible and well tolerated by our target group. This multidimensional intervention may offer a valuable contribution to public health care and dementia prevention for older adults. [https://clinicaltrials.gov/ct2/results?cond=NCT01481246], identifier [NCT01481246].

Weaving Indigenous and Western ways of knowing in ecotoxicology and wildlife health: a review of Canadian studies

Western-trained, non-Indigenous researchers in Canada have an ethical responsibility to collaborate with Indigenous Peoples and to re-envision the scientific research process through the lens of reconciliation. The health of the natural environment has long been a concern to both Indigenous and non-Indigenous Peoples, and weaving different ways of knowing could provide a path forward to address critical wildlife health concerns. Here, we conducted a review of the peer-reviewed and grey literature that claims to weave Indigenous and Western ways of knowing in ecotoxicology and wildlife health in Canada, coding for background information, wildlife health stressors, research methods, Indigenous participation, and research outcomes. Seventeen studies met the inclusion criteria, the majority of which were published since 2015 and took place in Canada’s North. Research collaborations were often between First Nations or Inuit knowledge holders (most frequently, active harvesters and Elders) and Western-trained, non-Indigenous academics. Most studies were initiated by mutual agreement between community partners and researchers, but no study was “Indigenous-led” at any stage of research. Studies investigated environmental contaminants and health-related topics in a range of wildlife, usually traditional subsistence species. The most commonly studied disease was avian cholera, and the most studied class of toxicants was metals and trace elements. Indigenous knowledge was primarily collected via interviews. Studies often used multiple methodologies to braid or weave knowledge, but the most frequently used methodology was community-based participatory research. To provide a more holistic understanding of the process of weaving knowledge, we conducted an in-depth examination, applying a decolonizing lens, of two exemplar cases of collaborative research with Indigenous communities. This exploration led to the conclusion that research that weaves ways of knowing must not be approached with a “one-size-fits-all” mindset, but instead should emphasize relationship building, continuous engagement, and ethical practices. By adopting such practices, Western-trained, non-Indigenous academics can better address critical wildlife health concerns while contributing meaningfully to advancing healing and reconciliation with Indigenous Peoples.