Collaborative Research Research Articles

Prehospital transcutaneous cardiac pacing in the United States: treatment epidemiology, predictors of treatment failure, and associated outcomes

ABSTRACT OBJECTIVES Transcutaneous cardiac pacing (TCP) is a potentially lifesaving therapy for patients who present in the prehospital setting with bradycardia that is causing hemodynamic compromise. Our objective was to examine the outcomes of patients who received prehospital TCP and identify predictors of TCP failure. METHODS We utilized the 2018-2021 ESO Data Collaborative public use research datasets for this study. All patients without a documented TCP attempt were excluded. Mortality was derived from hospital disposition data. TCP failure was defined as initiation of CPR following the first TCP attempt among patients who did not receive CPR prior to the first TCP attempt. Multivariable logistic regression models using age and sex as covariables were used to explore the association between prehospital vital signs and TCP failure. RESULTS During the study period, 13,270 patients received transcutaneous pacing and 2,560 of these patients had outcome data available. Overall, the mortality rate following TCP was 63.4%. Among patients who did not receive CPR prior to the first TCP attempt (n = 7,930), TCP failure (progression to cardiac arrest) occurred 20.4% of the time. Factors associated with TCP failure included increased body weight (>100 vs. 60-100 kg, aOR: 1.33 (1.15, 1.55)), a pre-pacing non-bradycardic heart rate (>50 vs. <40 bpm, aOR: 2.87 (2.39, 3.44)), and pre-TCP hypoxia (<80% vs. >90% SpO2, aOR: 6.01 (4.96, 7.29)). CONCLUSIONS Patients who undergo prehospital TCP are at high risk of mortality. Progression to cardiac arrest is common and associated with factors including increased weight, a non-bradycardic initial heart rate and pre-TCP hypoxia.

Knowledge domain and emerging trends in the rupture risk of intracranial aneurysms research from 2004 to 2023.

Intracranial aneurysms (IAs) pose significant health risks, attributable to their potential for sudden rupture, which can result in severe outcomes such as stroke and death. Despite extensive research, the variability of aneurysm behavior, with some remaining stable for years while others rupture unexpectedly, remains poorly understood. To employ bibliometric analysis to map the research landscape concerning risk factors associated with IAs rupture. A systematic literature review of publications from 2004 to 2023 was conducted, analyzing 3804 documents from the Web of Science Core Collection database, with a focus on full-text articles and reviews in English. The analysis encompassed citation and co-citation networks, keyword bursts, and temporal trends to delineate the evolution of research themes and collaboration patterns. Advanced software tools, CiteSpace and VOSviewer, were utilized for comprehensive data visualization and trend analysis. Analysis uncovered a total of 3804 publications on IA rupture risk factors between 2006 and 2023. Research interest surged after 2013, peaking in 2023. The United States led with 28.97% of publications, garnering 37706 citations. Notable United States-China collaborations were observed. Capital Medical University produced 184 publications, while Utrecht University boasted a citation average of 69.62 per publication. "World Neurosurgery" published the most papers, contrasting with "Stroke", the most cited journal. The PHASES score from "Lancet Neurology" emerged as a vital rupture risk prediction tool. Early research favored endovascular therapy, transitioning to magnetic resonance imaging and flow diverters. "Subarachnoid hemorrhage" stood out as a recurrent keyword. This study assesses global IA research trends and highlights crucial gaps, guiding future investigations to improve preventive and therapeutic approaches.

A synthesized field survey database of vegetation and active-layer properties for the Alaskan tundra (1972–2020)

Abstract. Studies in recent decades have shown strong evidence of physical and biological changes in the Arctic tundra, largely in response to rapid rates of warming. Given the important implications of these changes for ecosystem services, hydrology, surface energy balance, carbon budgets, and climate feedbacks, research on the trends and patterns of these changes is becoming increasingly important and can help better constrain estimates of local, regional, and global impacts as well as inform mitigation and adaptation strategies. Despite this great need, scientific understanding of tundra ecology and change remains limited, largely due to the inaccessibility of this region and less intensive studies compared to other terrestrial biomes. A synthesis of existing datasets from past field studies can make field data more accessible and open up possibilities for collaborative research as well as for investigating and informing future studies. Here, we synthesize field datasets of vegetation and active-layer properties from the Alaskan tundra, one of the most well-studied tundra regions. Given the potentially increasing intensive fire regimes in the tundra, fire history and severity attributes have been added to data points where available. The resulting database is a resource that future investigators can employ to analyze spatial and temporal patterns in soil, vegetation, and fire disturbance-related environmental variables across the Alaskan tundra. This database, titled the Synthesized Alaskan Tundra Field Database (SATFiD), can be accessed at the Oak Ridge National Laboratory Distributed Active Archive Center (ORNL DAAC) for Biogeochemical Dynamics (Chen et al., 2023: https://doi.org/10.3334/ORNLDAAC/2177).

Cell scientist to watch – Alexis Barr

ABSTRACT Alexis Barr is a Cancer Research UK (CRUK) Career Development Fellow at the Institute of Clinical Sciences (ICS), Imperial College London and Medical Research Council (MRC) Investigator at the MRC Laboratory of Medical Sciences (LMS). Alexis graduated in Natural Sciences from the University of Cambridge, UK, and then undertook a PhD at the CRUK Cambridge Institute, where she studied the role of centrosomes in mitotic spindle assembly under the supervision of Fanni Gergely. For her postdoctoral studies, Alexis moved to the Institute of Cancer Research in London, where she joined the team of Chris Bakal and was awarded a Pathway to Independence Fellowship. There, she investigated the mechanisms that control cell cycle entry using quantitative single-cell imaging. In 2018, Alexis was awarded a CRUK Career Development Fellowship to start her own research group at the ICS, to research the control of cell cycle entry and exit and how these pathways can be manipulated to treat cancer. She was awarded the 2024 Women in Cell Biology Early Career Medal by the British Society for Cell Biology (BSCB). We spoke with Alexis over Zoom to find out more about her career, her advice on collaborative research and her approaches to scientific mentorship.

Institutional Collaboration as a Panacea for Students’ Self-Employment in Tertiary Institutions in Bayelsa State, Nigeria

The study investigated institutional collaboration as a panacea for students’ self-employment in tertiary institutions in Bayelsa State, Nigeria. Three research questions were answered in the study. The study adopted convergent mixed method approach while the population of the study as all private employers of labour in small and medium scale businesses in Bayelsa State as well as Directors, lecturers and students in the various Entrepreneurship Centres across all the State owned tertiary institutions in Bayelsa State. The sample size for the study was 192 respondents consisting of three Directors, 30 CEOs of STEAM industries, 15 lecturers and 144 students within and around the selected institutions. Primary sources of data which were questionnaire (quantitative) and Key Informant Interview (qualitative) were used for data collection. Data collected quantitatively was analyzed using descriptive statistics such as frequency and percentage while the qualitative data was analyzed using thematic analysis. The result of the study indicated that funding and research collaborations were the major forms of institutional collaboration expected for students’ self-employment. There existed a high extent of collaboration in the areas of capacity building and programmes implementation. The strategies identified as vital to improving these collaborations included the clear definition of the responsibilities of all collaborating partners for improved students’ self-employment. The study recommended regular business meetings between these educational institutions and industry experts to deliberate on emerging issues that will enhance students’ self-employment in these institutions.

The Multi-Country Multi-City (MCC) Collaborative Research Network: novel study designs and methodological advancements for multicentric studies

The Multi-Country Multi-City (MCC) Collaborative Research Network: novel study designs and methodological advancements for multicentric studies

Interpretable machine learning model for early prediction of acute kidney injury in patients with rhabdomyolysis

Abstract Background Rhabdomyolysis (RM) is a complex set of clinical syndromes. RM-induced acute kidney injury (AKI) is a common illness in war and military operations. This study aimed to develop an interpretable and generalizable model for early AKI prediction in patients with RM. Methods Retrospective analyses were performed on 2 electronic medical record databases: the eICU Collaborative Research Database and the Medical Information Mart for Intensive Care III database. Data were extracted from the first 24 hours after patient admission. Data from the two datasets were merged for further analysis. The extreme gradient boosting (XGBoost) model with the Shapley additive explanation method (SHAP) was used to conduct early and interpretable predictions of AKI. Results The analysis included 938 eligible patients with RM. The XGBoost model exhibited superior performance (area under the receiver operating characteristic curve [AUC] = 0.767) compared to the other models (logistic regression, AUC = 0.711; support vector machine, AUC = 0.693; random forest, AUC = 0.728; and naive Bayesian, AUC = 0.700). Conclusion Although the XGBoost model performance could be improved from an absolute perspective, it provides better predictive performance than other models for estimating the AKI in patients with RM based on patient characteristics in the first 24 hours after admission to an intensive care unit. Furthermore, including SHAP to elucidate AKI-related factors enables individualized patient treatment, potentially leading to improved prognoses for patients with RM.

International Research Collaboration Challenges in the Household Air Pollution Intervention Network Trial - Managing Ethical, Community, and Logistical Considerations

International Research Collaboration Challenges in the Household Air Pollution Intervention Network Trial - Managing Ethical, Community, and Logistical Considerations

Recasting Klamath Dam Removal as Eco-Cultural Revitalization and Restorative Justice through Karuk Tribal Leadership

Moving from an era of dam building to dam removal brings additional perspectives to indigenous water governance and hydrosocial relations in the Klamath River Basin (US). This collaborative research initiative with the Karuk Tribe builds greater understanding of the sociocultural impacts of Klamath dam removal and river restoration through Karuk knowledge. Addressing a knowledge gap around the social dimensions of dam removal, we held focus groups and interviews with Karuk cultural practitioners, tribal leaders, and tribal youth in the six-month period leading up to demolition. Extending beyond a focus on infrastructure removal or single-species restoration, we consider how Indigenous environmental relations and cosmologies are embedded in dam removal and river restoration. Specifically, Karuk knowledge shifts the significance of dam removal by elucidating deeply interconnected ecological, cultural, and ceremonial relations that are co-constituted with the Klamath watershed, thereby recasting dam removal as a holistic eco-cultural revitalization initiative. This reconfigures dam removal goals to include improving community health and well-being, enhancing spiritual elements of river restoration, responding to colonial legacies, and engaging tribal youth. In the Klamath case, restorative justice becomes possible through Karuk participation in river restoration to facilitate the revitalization of reciprocal relations held between Karuk people and the Klamath River—including Karuk eco-cultural and ceremonial practices for restoring balance in the world.

School–University Partnership in Vietnam From School Teachers’ Perspectives

This article investigates partnership practices between initial teacher education (ITE) institutions in Vietnam using questionnaires and focused-group interviews. The results revealed that: (a) current partnerships mostly aimed at improving the professional capacity of school teachers and quality of student learning; (b) limited activities exist in collaborative research, curriculum development, and ITE; and (c) of different aspects of a partnership, more attention need to be paid to reviewing partnership directions, involving different stakeholders in the decision-making process, and creating opportunities for staff to work in each other's organization. The results of this study carry significant implications for the development, management, and support of partnership activities. Moreover, these findings have the potential to contribute to a broader international comprehension of partnership activities, particularly in contexts where knowledge in this area is limited.

Health policy and systems research priority-setting exercise in Ethiopia: a collaborative approach

IntroductionHealth policy and systems research (HPSR) is a multi-disciplinary approach of generating health system and policy-level evidence. Setting HPSR agendas is considered as an efficient strategy to map and identify policy and cost-effective research topics, but its practice in developing countries is limited. This paper aimed to conduct a collaborative health policy and system research priority-setting exercise in Ethiopia.MethodThe WHO’s plan, implement, publish, and evaluate (PIPE) framework and the Delphi technique were used to conduct the priority-setting exercise. The PIPE model was used to lead the priority-setting process from planning to evaluation, while the Delphi technique was used to run the rating and ranking exercise with the aim of reaching a consensus. Two rounds of expert panel workshops supplemented with an online survey were used for the HPSR agenda setting, rating and ranking purposes. Groups were formed using the WHO health system building blocks as a base framework to identify and prioritize the HPSR topics.ResultUnder 8 themes, 32 sub-themes and 182 HPSR topics were identified. The identified research themes include leadership management and governance, health policy, health information system, healthcare financing, human resource for health, medical products and supply, service delivery and cross-cutting issues.ConclusionsPriority HPSR topics focussing on national health priority issues were identified. The identified topics were shared with policymakers and academic and research institutions. Evidence generation on the identified priority topics will guide future research endeavours and improve evidence-informed decision-making practice, health system performance and national health goals and targets.

Lassa Fever: Critical Review and Prospects for Control.

Lassa Fever is a deadly viral haemorrhagic disease, causing annually several hundreds of deaths in West Africa. This zoonotic disease is primarily transmitted to humans by rodents of the genus Mastomys, even though other rodents reportedly carry the Lassa virus, while secondary interhuman transmission accounts for approximately 20% of cases. Although this disease has been endemic in rural zones of Nigeria, Sierra Leone, Liberfia, and Guinea for hundreds of years, it is also characterised by epidemic outbreaks in the dry season, responsible for heavy death tolls. No licensed vaccine or satisfying treatment is currently available. Disease management is hindered by the incomplete knowledge of the epidemiology and distribution of the disease, resulting from an inadequate health and surveillance system. Additional scientific constraints such as the genetic diversity of the virus and the lack of understanding of the mechanisms of immune protection complexify the development of a vaccine. The intricate socio-economic context in the affected regions, and the lack of monetary incentive for drug development, allow the disease to persist in some of West Africa's poorest communities. The increase in the number of reported cases and in the fatality rate, the expansion of the endemic area, as well as the threat Lassa Fever represents internationally should urge the global community to work on the disease control and prevention. The disease control requires collaborative research for medical countermeasures and tailored public health policies. Lassa Fever, created by the interconnection between animals, humans, and ecosystems, and embedded in an intricate social context, should be addressed with a 'One Health' approach. This article provides an overview of Lassa Fever, focusing on Nigeria, and discusses the perspectives for the control of disease.

Tracing the Evolution: A Comprehensive Bibliometric Analysis of Drug Interaction Clinical Studies.

This study aims to meticulously map the bibliometric landscape of drug-drug interactions (DDIs) in clinical research. This represents the first use of bibliometric analysis to comprehensively highlight the evolutionary trends and core themes in this critical field of pharmacology. An exhaustive bibliometric search was performed within the Web of Science Core Collection, aiming to comprehensively gather literature on DDIs in clinical settings. A combination of sophisticated analytical tools including DIKW, VOSviewer, and Citespace was utilized for an in-depth exploration of bibliometric patterns and trends. Of the 3421 initially identified articles, 2622 were considered relevant. The analysis revealed a marked escalation in DDIs publications, with a peak observed in 2020. Five principal thematic clusters emerged: Safety and Adverse Reactions, Drug Metabolism and Efficacy, Disease and Drug Treatment, Research Methods and Practices, and Special Populations and Combined Medication. Key insights included the escalating significance of drug metabolism in pharmacokinetics, heightened focus on cardiovascular and antiviral therapeutics, and the advancing frontier of personalized medicine. Additionally, the analysis underscored the necessity for strategic attention to vulnerable populations and innovative methodological approaches. This study calls for the global harmonization of research methods in DDIs clinical investigations, advocating for the integration of personalized medicine paradigms and the implementation of cutting-edge computational analytics. It highlights the imperative for inclusive and collaborative research approaches to adeptly address the intricate challenges of contemporary pharmacotherapy.

The Impact of Race, Ethnicity, and Sex on Fairness in Artificial Intelligence for Glaucoma Prediction Models

ObjectiveDespite advances in artificial intelligence (AI) in glaucoma prediction, most works lack multi-center focus and do not consider fairness concerning sex, race, or ethnicity. This study aims to examine the impact of these sensitive attributes on developing fair AI models that predict glaucoma progression to necessitating incisional glaucoma surgery. DesignDatabase study. Participants39,090 patients with glaucoma, as identified by International Classification of Disease codes from 7 academic eye centers participating in the Sight OUtcomes Research Collaborative (SOURCE). MethodsWe developed XGBoost models using three approaches: (1) excluding sensitive attributes as input features, (2) including them explicitly as input features, and (3) training separate models for each group. Model input features included demographic details, diagnosis codes, medications, and clinical information (intraocular pressure, visual acuity etc.), from electronic health records. The models were trained on patients from 5 sites (N=27,999) and evaluated on a held-out internal test set (N=3,499) and 2 external test sets consisting of N=1,550 and N=2,542 patients. Main Outcomes and MeasuresArea under the receiver operating characteristic curve (AUROC) and equalized odds on the test set and external sites. Results6,682 (17.1%) of 39,090 patients underwent glaucoma surgery with a mean age of 70.1 (std. 14.6) years, 54.5% female, 62.3% White, 22.1% Black and 4.7% Latinx/Hispanic. We found that not including the sensitive attributes led to better classification performance (AUROC: 0.77-0.82) but worsened fairness when evaluated on the internal test set. However, on external test sites, the opposite was true: including sensitive attributes resulted in better classification performance (AUROC: external #1 - (0.73-0.81), external #2 - (0.67-0.70)), but varying degrees of fairness for sex and race as measured by equalized odds. ConclusionsAI models predicting whether patients with glaucoma progress to surgery demonstrated bias with respect to sex, race, and ethnicity. The effect of sensitive attribute inclusion and exclusion on fairness and performance varied based on internal versus external test sets. Prior to deployment, AI models should be evaluated for fairness on the target population.

Researching Behind the Badge: Challenges and Politics for Emerging Scholars in Police Studies

This study aims to find that the organizational structure and culture of the police have a significant impact particularly in terms of facilitating access, ensuring research independence, and developing long-term relationships. Police research has enabled the integration of grounded theoretical findings with the practical application of police strategies. However, scholars in police studies, especially those new to research, often face intricate dynamics and limitations, particularly concerning police culture and organizational obstacles. This paper seeks to examine the challenges and political barriers that new researchers have when studying the police. Employing an empirical qualitative approach, this study combines semi-structured interviews with six researchers who have different levels of expertise in police research. Additionally, auto-ethnographic reflections offer a thorough understanding of the subject matter. The research findings suggest that the organizational structure and culture of the police have a significant impact on research, particularly in terms of facilitating access, ensuring research independence, and developing long-lasting connections. We conclude by proposing that establishing an effective research collaboration with the police necessitates finding a balance between the interests of academics and the police institution. To achieve this, we advocate implementing mentorship programs that pair experienced researchers with junior researchers and create collaborative infrastructure to help new scholars.

A Review on the Impact of Climate Change on Plant Pathogen Interactions

Climate change significantly affects plant-pathogen interactions, creating major challenges for global agriculture and food security. It alters pathogen distribution, biology, and life cycles, while also impacting plant physiology and defense mechanisms. Predictive models are crucial for forecasting pathogen spread under various climate scenarios, but they face limitations due to uncertainties and the complexity of biological interactions. Advances in biotechnology and genomics, including marker-assisted selection, gene editing, and the study of plant-microbe interactions, offer promising solutions for developing climate-resilient crops. Implementing sustainable agricultural practices, such as conservation agriculture, agroforestry, and efficient water management, is vital for enhancing resilience. Integrated Pest Management (IPM) strategies, which combine biological, cultural, and chemical methods, are essential for adaptive pest control. To support these efforts, policies and regulatory frameworks, incentive programs, and international cooperation are necessary to promote the widespread adoption of these practices. There are significant research gaps, especially in long-term monitoring and interdisciplinary studies, that are crucial for a comprehensive understanding of climate change's effects on agriculture. Addressing these challenges requires global collaborative research initiatives that facilitate the exchange of knowledge, resources, and technologies, advancing our understanding and mitigation of climate impacts on agriculture.

Epidemiology of Homebound Population Among Beneficiaries of a Large National Medicare Advantage Plan.

Interest in home-based care is increasing among Medicare Advantage (MA) plans. The epidemiology of homebound MA beneficiaries is unknown. To determine the prevalence, characteristics, predictors, health service use, and mortality outcomes of homebound beneficiaries of a large national MA plan. Cross-sectional. National MA plan. Humana MA beneficiaries in 2022 (n = 2 435 519). Homebound status was assessed via in-home assessment using previously defined categories: homebound (never or rarely left home in the past month), semihomebound (left home with assistance, had difficulty, or needed help leaving home), and not homebound. Demographic, clinical, health service use, and mortality outcomes were compared by homebound status. In 2022, the overall prevalence of homebound beneficiaries was 22.0% (8.4% of beneficiaries were homebound, and 13.6% were semihomebound). In adjusted models, female sex (odds ratio [OR], 1.36 [95% CI, 1.35 to 1.37), low-income status or dual eligibility for Medicare and Medicaid (OR, 1.56 [CI, 1.55 to 1.57]), dementia (OR, 2.36 [CI, 2.33 to 2.39]), and moderate to severe frailty (OR, 4.32 [CI, 4.19 to 4.45]) were predictive of homebound status. In multivariable logistic regression, homebound status was associated with increased odds of any emergency department visit (OR, 1.14 [ CI, 1.14 to 1.15]), any inpatient hospital admission (OR, 1.44 [CI, 1.42 to 1.46]), any skilled-nursing facility admission (OR, 2.18 [CI, 2.13 to 2.23]), and death (OR, 2.55 [CI, 2.52 to 2.58]). The study period overlapped the tail end of the COVID-19 pandemic, and data were derived from a single national MA plan, which limits generalizability. Overall homebound prevalence in a national MA plan was 22.0% and was independently associated with increased health service use and mortality. Study findings can inform strategic initiatives to identify and manage care for homebound beneficiaries. Humana, under a collaborative research agreement with Johns Hopkins University.

Reliability and consistency of the Japanese version of the Primary Lateral Sclerosis Functional Rating Scale

BackgroundPrimary lateral sclerosis (PLS) is an extremely rare condition; therefore, to date no clinical studies have been conducted. The Primary Lateral Sclerosis Functional Rating Scale (PLSFRS) was developed in the United States of America. The PLSFRS is a crucial assessment scale for international collaborative research and future clinical trials for PLS. It is useful for evaluating medical conditions through face-to-face assessments and telephone interviews such as when a face-to-face assessment is not possible due to disasters or the burden of hospital visits. This study assessed the reliability and consistency of in-person and telephone interviews using the Japanese version of the PLSFRS.MethodsWe enrolled 19 Japanese patients who met the specific criteria for inclusion at the six collaborating institutions. The PLSFRS assessments were performed by two evaluators at defined time points and analyzed for intra-rater and inter-rater reliability and consistency between the in-person and telephone interviews.ResultsThe Japanese version of the PLSFRS was developed by a specialized company and translator, and modified to consider the Japanese lifestyle through a consensus among motor neuron specialists. The quadratic-weighted kappa coefficients for the intra-rater and the inter-rater agreement were substantial (intra-rater: 0.691-1.000, inter-rater: 0.634-1.000). Moreover, the intraclass correlation coefficient for the PLSFRS total score was 0.997 (95% confidence interval, 0.992–0.999).ConclusionsThis study provides results regarding the Japanese version of the PLSFRS intra-rater and inter-rater reliability and consistency between in-person and telephone interviews.

Children and young people as research collaborators in a large-scale migration research project

In this paper we detail and contextualise the collaborative participatory research process developed throughout the IMMERSE research project which maps the integration of migrant children in education in Europe. We begin with a brief overview of IMMERSE and thereafter discuss the research design with reference to literature on collaborative research approaches and on working with children and young people’s research advisory groups. IMMERSE involved a large-scale data collection with over 24,000 children and young people in six countries and such large-scale data collection presents a challenging context in which to include children as collaborators and influencers in the research process. We demonstrate how, drawing on existing knowledge as well as our own experiences of working with children as research partners, we developed innovative ways of ensuring children’s voices were integral to and embedded in the research at various points of the process. Throughout the duration of the project, we developed several strategies to ensure that children were involved as research partners and influencers. To ensure children and young people’s active involvement and influence on the research, a Children and Young People’s Advisory Group was established at the beginning of IMMERSE which was composed of 18 migrant and refugee children resident in Ireland. This group acted as an expert group, to reflect on the experiences of migrant children and represent their peers in this process. In addition, children across the six IMMERSE countries were involved in the design and validation of the dashboard of socio-educational integration indicators and the ensuing research instruments.

Ethnographic Film, Fourth Cinema and Situated Knowledge Practices—from Colonial Film to Collaborative Research

The text attempts to understand the development of collaborative audiovisual knowledge practices in anthropology as situated and diffractive knowledge (Haraway, Barad, Smith). By considering specific stages in the history of collaborative and participatory projects, the article argues that collaborative filmmaking is not only a decentering of one-sided authorship and one-sided modes of representation, but also a media-specific form of knowledge that is bound to and embedded in social contexts. Through the example of colonial film, the article describes stations of demarcation and attempts to decolonize film. Current film experiments with marginalized groups have their origins in “shared anthropologies” (Rouch) and have further developed this approach through more consistent forms of Fourth Cinema and power sharing with Indigenous communities. Film is thus also able to depict amateur knowledge practices within collaborative research projects.