Citizen Science Research Articles

Natural language processing analysis of the theories of people with multiple sclerosis about causes of their disease

BackgroundWhile potential risk factors for multiple sclerosis (MS) have been extensively researched, it remains unclear how persons with MS theorize about their MS. Such theories may affect mental health and treatment adherence. Using natural language processing techniques, we investigated large-scale text data about theories that persons with MS have about the causes of their disease. We examined the topics into which their theories could be grouped and the prevalence of each theory topic.MethodsA total of 486 participants of the Swiss MS Registry longitudinal citizen science project provided text data on their theories about the etiology of MS. We used the transformer-based BERTopic Python library for topic modeling to identify underlying topics. We then conducted an in-depth characterization of the topics and assessed their prevalence.ResultsThe topic modeling analysis identifies 19 distinct topics that participants theorize as causal for their MS. The topics most frequently cited are Mental Distress (31.5%), Stress (Exhaustion, Work) (29.8%), Heredity/Familial Aggregation (27.4%), and Diet, Obesity (16.0%). The 19 theory topics can be grouped into four high-level categories: physical health (mentioned by 56.2% of all participants), mental health (mentioned by 53.7%), risk factors established in the scientific literature (genetics, Epstein-Barr virus, smoking, vitamin D deficiency/low sunlight exposure; mentioned by 47.7%), and fate/coincidence (mentioned by 3.1%). Our study highlights the importance of mental health issues for theories participants have about the causes of their MS.ConclusionsOur findings emphasize the importance of communication between healthcare professionals and persons with MS about the pathogenesis of MS, the scientific evidence base and mental health.

Efficient extraction of textile dyes using reusable acrylic-based smart polymers

Water pollution from industrial or household waste, containing dyes from the textile industry, poses a significant environmental challenge requiring immediate attention. In this study, we have developed a crosslinked-smart-polymer film based on 2-(dimethylamino)ethyl methacrylate copolymerized with other hydrophilic and hydrophobic commercial monomers, and its efficacy in removing 21 different textile dyes was assessed. The smart polymer effectively interacts with and adsorbs dyes, inducing a noticeable colour change. UV-Vis spectroscopy analysis confirmed a removal efficiency exceeding 90 % for anionic dyes, with external diffusion identified as the primary influencing factor on process kinetics, consistent with both pseudo-first-order kinetics and the Crank-Dual model. Isothermal studies revealed distinct adsorption behaviors, with indigo carmine adhering to a Freundlich isotherm while others conformed to the Langmuir model. Permeation and fluorescence analyses corroborated isotherm observations, verifying surface adsorption. Significantly, our proof-of-concept demonstrated the resilience of the smart-film to common fabric softeners and detergents without compromising adsorption capacity. Additionally, the material exhibited reusability (for at least 5 cycles), durability, and good thermal and mechanical properties, with T5 and T10 values of 265 °C and 342 °C, respectively, a Tg of 168 °C, and a water swelling percentage of 54.3 %, thus confirming its stability and suitability for industrial application. Environmental implicationDyes released during laundry processes should be classified as "hazardous materials" owing to their significant toxicity towards aquatic organisms, with the potential to disrupt ecosystems and harm aquatic biodiversity. This paper discusses the development of a novel acrylic material in film form, engineered to extract toxic anionic dyes. This study directly contributes to mitigating the environmental impact associated with the fashion industry and the domestic use of textiles. It can be implemented on both an industrial and personal scale, thereby encouraging more sustainable practices and promoting collaborative citizen science efforts towards

The changing landscape with respect to scientific research and education for second-level students and how they can overlap: the Kefir4All example.

Have you ever deeply considered the intersections between research and education, particularly for second-level students? Traditionally, the convergence of these two realms is most often noted when considering the integration of research findings into educational practices or the involvement of, typically a small number, of students in research activities. While these practices have demonstrated efficacy, the fields of scientific research and education are evolving rapidly, necessitating a reevaluation of how we can optimize their convergence. In our discourse, we delve into these evolving trends, uncover the potential for greater integration, and, ultimately, enhance outcomes using the citizen science initiative Kefir4All as an illustrative example.

Formation of Competences of Librarian-Bibliographer — Popularizer of Open Science in Vocational Training

There is a lack of attention to the practical implementation by libraries of citizen science projects, science communication and popularization of open science, including outside the academic environment. This situation is due to their relatively recent appearance in the field of researchers’ attention, as well as to the insufficient formation of the necessary competencies among librarians (especially those who graduated before the introduction of competency-based bachelor’s degree programmes).The study aims to address two objectives: 1) identification of specific competences required for a popularizer of open science in a library; 2) development of a structural and functional model of formation of such competences in vocational training.The competences necessary for a librarian-bibliographer — popularizer of open science are proposed. They are related to project and communicative activities, social partnership, support of scientific research, formation and presentation of content, including media content. The methods of mass work are important, as well as the organization of multifunctional library space, its zoning and navigation in order to ensure the comfort of users needed for the organization of citizen science hubs or centers of scientific cooperation. The structural and functional model of formation of such competences in the framework of additional professional education is presented, taking into account the presence of the following factors: previous unsystematized knowledge, skills and abilities based on the librarian’s work experience; theoretical and practical training; application of the acquired knowledge, skills and abilities in practical activities immediately after successful completion of the advanced training course. Such realization is based both on the presence of external motivation of the librarian and on his/her knowledge of open science (most often related to the concept of open access) and principles of its functioning. Interactive forms and technologies are noted, including in the assessment phase, using remote working tools to keep the trainees motivated as well as integrating them into the open science environment. In addition, the specific working conditions of the librarian should be analyzed when selecting tasks — this can be a decisive factor in the personal interest of the learner. The basis for the implementation and testing of this approach is laid in three modules of the advanced training course “Library for Open Science” of the State Public Scientific and Technical Library of the Siberian Branch of the Russian Academy of Sciences. The results of the course show a high degree of development of skills linked to communication and project activities, but further adaptation of the material related to the legal framework is required.

Beyond texture: unveiling spiny crown-of-thorns starfish with multiresolution analysis

Coral reefs are essential ecosystems in the vast expanses of oceans, nurturing various forms of marine life within their vibrant and expansive structures. However, these underwater paradises suffer considerable threat from the population explosions of crown-of-thorns starfish (COTS), which detrimentally affect scleractinian corals across the Indo-Pacific region. This study addresses the early drawback of solely relying on texture analysis for COTS detection, recognizing the associated insufficiency due to variability in reef substrates. By integrating multiresolution analysis employing wavelet transform, edge information, and texture analysis using gray-level co-occurrence probability, this approach employs crucial Haralick features refined for pattern recognition. This enables a more detailed understanding of COTS traits, including the detection of the numerous sharp spines that cover their upper bodies. This approach considerably enhances classification reliability, making notable progress with an impressive accuracy of 95.00% using the eXtreme Gradient Boosting (XGBoost) Classifier. Moreover, this model streamlines processing requirements by increasing computational and memory efficiencies, making it more resource-efficient than the current models. This advancement enhances detection and opens avenues for early intervention and future research. Furthermore, integrating the model with underwater imagery could enable citizen science initiatives and autonomous underwater vehicle (AUV) surveys. Empowering trained volunteers and equipping AUVs with this technology could considerably expand coral reef monitoring efforts. Early COTS outbreak detection allows for shorter response times, potentially mitigating the damage and facilitating targeted conservation strategies.

A Sustainable mHealth Intervention to Promote Physical Activity for Healthy Aging: A Pilot Study of the “Every Walk You Take” Citizen Science Initiative

The objective of the Every Walk You Take initiative was to co-design and test, in a pilot study, a sustainable mHealth intervention prototype (mobile app) to promote physical activity. This prototype would help to identify the barriers to and facilitators of active living in individuals older than 55 years. A prototype of the intervention was co-designed by a community of stakeholders in Barcelona who were familiar with the social and economic burden of aging in high-income societies. The app’s functionalities included recommendations for healthy routes in the city (parks, pedestrian lanes, and streets) according to environmental variables (air quality and climate) and personal preferences (route difficulty, distance, and geolocation), and ecological momentary assessments (pictures and voice notes) were collected to identify the barriers to and facilitators of performing these routes. To test the app, a pilot study was conducted over two 7-day cycles with citizen scientists recruited at the life-long learning centers of two deprived neighborhoods in Barcelona. A total of 21 citizen scientists (mean age = 67 (standard deviation = 7)), 86% of them female, collected 112 comments and 48 pictures describing their perceived barriers to and facilitators of active living. Every Walk You Take is a new, validated, and sustainable mHealth intervention that is directly involved in health promotion, as it empowers the citizens of Barcelona to play an active role in their own healthcare. This intervention has the potential to be implemented in different cities around the world to collect information on the community determinants of health and health assets.

Validation of cheap axial passive sampler and procedure suitable for atmospheric NO2 community-based monitoring

Nitrogen dioxide (NO2) is an air pollutant highly impacting on human health, and its measurement is crucial for air quality assessment. Use of passive samplers for long-term large-scale monitoring is a reasonably reliable and economic alternative to more sophisticated and expensive equipment employed in active air sampling by environmental control authorities. In recent years the Citizen Science approach, based on low-cost devices, is spreading more and more in environmental control. Passive samplers available on the market (like the consolidated “Palmes” tubes) are often used in community-based monitoring campaigns. We describe validation of a new cheap axial diffusion tube for NO2 monitoring, used in combination with a new user-friendly App for smartphone that represents an innovation to speed up recording of geo-localization and exposition period data. Affordability and availability of materials, simple construction protocol and easy App procedure, allow possible self-production by school students and non-expert users, making the proposed tube a potential tool to realize extended Citizen Science monitoring campaigns. Accuracy within 25% and precision within 20%, evidenced in validation, show comparability of the tube performance with Palmes-type tubes and agreement with the official monitoring station results. Two small-scale trial monitoring campaigns, involving high school students, were performed to test the efficacy of the proposed “tube-App” system in combining educational impact and community value of air quality monitoring.

Micro-habitat shifts by butterflies foster conservation strategies to preserve pollinator diversity in a warming Mediterranean climate

The Butterfly Monitoring Scheme based on linear transects conducted by citizen scientists has become a fundamental indicator for understanding the impact of climate change on butterfly populations. A key finding is the fast poleward expansion of butterfly distributions in Europe, coupled with slower population declines in southern regions. Given that the Mediterranean region is a climate change hotspot, understanding the largely unknown mechanisms employed by butterflies to cope with increasing aridity is crucial for developing data-driven conservation strategies. To address this issue, we developed a monitoring approach based on 90 transects fully covering areas of 50 m × 50 m squares instead of linear paths. This enabled us to explore the fine-scale dynamics of 80 butterfly species and their association with vegetational units in the Mediterranean hills (∼800 m a.s.l. as maximum altitude) of the MAB UNESCO Reserve of Monte Peglia (Central Italy). We sampled the transects from April to October 2022 (the locally hottest summer of the last decade) and documented three main patterns: 1) butterfly richness and abundance correlate with environmental features and these relationships vary across seasons. Richer sites consisted of some 30 % of woodland and were those closer to water, mostly during summer (area-based analysis). 2) Environmental preferences vary with species traits. Specialist species and those adapted to colder climates and narrower temperature ranges were more abundant in higher altitudes sites, closer to water and with wider woodland coverage (fourth-quadrant analysis). 3) Although most species preferred meadows, when temperature increases, they increased their abundance in sites with wider tree coverage, closer to streams, and at higher altitude (species-based analysis). These dynamics demonstrate that butterflies opportunistically move to cooler micro-habitats to buffer elevated temperatures. This phenomenon potentially involves most of the community since the species showing significant effects encompass >80 % of the observed individuals. Our analysis introduces new dimensions to the niche of Mediterranean butterflies, highlighting the significance of shady micro-habitats, altitudinal ranges, and water streams. These factors are likely to become increasingly critical with rising aridity levels. By combining our findings with existing literature data, we have provided a protocol aimed at preserving Mediterranean butterflies within the resist-accept-direct framework.

Harmozica ravergiensis (Gastropoda: Hygromiidae) in Western Ukraine as part of anthropogenic expansion of its range

In September 2023, a large population of the Caucasian snail Harmozica ravergiensis was discovered in a newly built residential complex in Lviv. This is its second record in Western Ukraine, with an interval of almost 20 years, as well as the westernmost known locality of the species. Adults of H. ravergiensis from Lviv had larger shells compared to samples from other introduced Eastern European populations of this species, measured by us personally or described in the literature. Another 16 species of land molluscs, mostly alien to Ukraine or its western part, were found in Lviv together with H. ravergiensis. The latter includes a snail of Crimean origin, Monacha fruticola, which is still rarely recorded north of the steppe zone of Ukraine. In the studied area of Lviv, H. ravergiensis and M. fruticola often formed joint aggregations, which had never been observed before in Ukraine. Possible ways of penetration of H. ravergiensis and some other introduced molluscs into the studied area are discussed. Now H. ravergiensis is most often found in Eastern Ukraine, especially in the Donetsk region (the earliest known record dates back to 1990). There are also a few reliable finds in Western (since 2006) and Central (since 2015) Ukraine. In general, in the late 20th and early 21st centuries, the range of H. ravergiensis expanded significantly, reaching the Tver region of Russia in the north, the southern Ural in the northeast, Central Asia in the southeast, and Western Ukraine in the west. Here, we analyse for the first time the extent of this expansion based on personally studied material, published data, and images in two citizen science databases.

The role of citizen science in monitoring forest pests: A collaborative approach

Forests are complex ecosystems facing threats such as climate change and invasive pests. Climate change increases forest vulnerabilities through droughts and extreme weather, while invasive pests intensify these challenges. Traditional pest monitoring, once limited to experts, is being transformed by citizen science, engaging the public in research and monitoring. Projects like iNaturalist expand monitoring reach, enhance early pest detection, and foster environmental stewardship. Citizen scientists provide valuable data supporting rapid responses and collaboration with plant health specialists. Technologies like drones and environmental DNA empower volunteers and improve data accuracy. Despite limitations like species identification difficulties, comprehensive training and expert validation enhance data reliability. Case studies on tree health surveillance and Cerambyxcerdo management show citizen science's effectiveness in increasing surveillance and fostering community-based monitoring. Involving citizens in setting objectives and interpreting data creates impactful conservation outcomes. Integrating citizen and professional efforts ensures thorough monitoring and effective pest management, bridging the gap between research and practical conservation to promote sustainable forests. This article highlights the critical role of citizen science in forest health monitoring, emphasizing clear objectives, appropriate tools, and sustained public engagement. Keywords: Citizen Science, Forest health, Climate change, invasive pests.

HeartMath iBhubesi Tree Rhythm Project at Umhlanga Rocks South Africa

The HeartMath Tree Rhythm project is a citizen science interconnectivity initiative. Interconnectivity refers to the hypothesis that all life forms are interconnected via intersecting magnetic energy fields. HeartMath tree rhythm research complements the HeartMath Global Coherence Initiative (GCI) and Global Consciousness Project (GCI). Related websites are as follows: https://treerhythms.net/ https://www.heartmath.org/gci/gcms/live-data/ and https://gcp2.net The present contribution employs a narrative methodology to introduce the iBhubesi Tree Rhythm project at Umhlanga Rocks South Africa. The isiZulu term “iBhubesi” denotes an African lion. Ubuntu connotes humanity. Its deeper meaning is that we only become human through others (umuntu umuntu ngabantu), especially, ancestors, family and friends. African dialogue is epitomized by respectful greeting and openness in human relationships. Umhlanga Rocks iBhubhesi Mango has a unique ecological ancestry and eco-spiritual story. Mango trees are originally indigenous to India, its people and continent. They are also connected to everything else - nature, people, continents, planets and cosmos. The following contribution intends to unpack some universal, differential and unique aspects of this interconnectedness.

An update for Halyomorpha halys (Stål, 1855) (Hemiptera, Pentatomidae) distribution in Belgium

The brown marmorated stink bug, Halyomorpha halys, represents an important insect pest and subsequently an important agricultural threat due to its polyphagous feeding habits and adaptability to diverse climates. Native from East Asia, its recent establishment in various regions, including North America and Europe, has led to substantial yield losses and economic impacts, which highlight the need for comprehensive research efforts, based on data occurrence by combining those from expert entomologists and citizen scientists. We reported here 14 new occurrences of this insect pest in the three regions of Belgium. Then, these data were merged with data occurrences from other studies and GBIF datasets of Belgium. The combined dataset showed a peak of presence of Halyomorpha halys in October and a dominance of field observations from citizen scientists especially in the nothern part of Belgium, Flanders. Crowd-sourced data have provided valuable insights into the presence and distribution of Halyomorpha halys in Belgium. Given the importance of the generated dataset, it could be asserted that this pest is uniformly distributed across the entire country, which necessitates additional research to evaluate its impact on various crops.

A new combination for a neglected member of Linaria subsect. Versicolores (Plantaginaceae, Antirrhineae) endemic to the Algarve, Portugal

Linaria bimaculatacomb. et stat. nov., from the overlooked Central Algarve plant endemism centre, is here lectotypified and redescribed as a full species based on Linaria viscosa var. bimaculata, which was historically misidentified under allopatric L. spartea and L. viscosa. Traditional herbarium taxonomy and citizen science observations were combined to document the geographical range of the four species of Linaria subsect. Versicolores in the Algarve and amend an identification key for the Iberian clade of this subsection. Geographical patterns and morphological similarity suggest a sister relationship between L. bimaculata and L. algarviana, unveiling a new possible example of parallel speciation linked to a purple to yellow shift in corolla colour. Besides the yellow flowers, L. bimaculata differs from L. algarviana in the more elongate fertile stems and the invariably erect-patent corolla tube. It is assessed as Vulnerable (VU) according to the IUCN Categories and Criteria.

Assessing the scale and ecological impact of derelict and discarded fishing gear across Thailand via the MARsCI citizen science protocol

South-East Asia is among the least studied regions for the growing issue of marine debris pollution, despite being a major contributor towards global marine debris. In the present study, we provide the preliminary results from the MARsCI project, a survey protocol designed to utilise citizen science to facilitate data collection on the ecological impact of discarded fishing gear (DFG) in Thailand. Over a three-year period, 103 surveys were carried out across Thailand, resulting in impact assessment of 606 pieces of DFG. Our findings indicate corals are regularly impacted by DFG in Thai waters and that isolated marine habitats may be more severely impacted than near-shore sites. We further identify crabs, muricid snails, and demersal fish to be among the most regularly entangled animals. We discuss our findings in the context of earlier work from Thailand, and conduct a critical review of the protocol itself, identifying improvements for future efforts.

Citizen science for IceCube: Name that Neutrino

Name that Neutrino is a citizen science project where volunteers aid in classification of events for the IceCube Neutrino Observatory, an immense particle detector at the geographic South Pole. From March 2023 to September 2023, volunteers did classifications of videos produced from simulated data of both neutrino signal and background interactions. Name that Neutrino obtained more than 128,000 classifications by over 1800 registered volunteers that were compared to results obtained by a deep neural network machine-learning algorithm. Possible improvements for both Name that Neutrino and the deep neural network are discussed.

The implications of estimating rarity in Brazilian reptiles from GBIF data based on contributions from citizen science versus research institutions

AbstractUnderstanding the distribution of rare species is important for conservation prioritisation. Traditionally, museums and other research institutions have served as depositories for specimens and biodiversity information. However, estimating abundance from these sources is challenging due to spatiotemporally biased collection methods. For instance, large‐bodied reptiles that are found near research institutions or in popular, easily accessible sites tend to be overrepresented in collections compared to smaller species found in remote areas. Recently, a substantial number of observations have been amassed through citizen (or community) science initiatives, which are invaluable for monitoring purposes. Given the unstructured nature of this sampling, these datasets are often affected by biases, such as taxonomic, spatial and temporal preferences. Therefore, analysing data from these two sources can lead to different abundance estimates. This study compiled data on Brazilian reptile species from the Global Information Biodiversity Facility (GBIF). It employed a community‐ecology approach to analyse data from research institutions and citizen science initiatives, separately and collectively, to assess taxonomic and spatial species coverage and predict species rarity. Using a 1‐degree hexagonal grid, we analysed the spatial distribution of reptile communities and calculated rarity indices for 754 reptile species. Our findings reveal that 87 species were exclusively recorded in the citizen science subset, while 212 were recorded only by research institutions. The number of observations per species in the citizen science data followed a Gambin distribution, which aligns with the expected pattern of abundance in natural communities, unlike the data from research institutions. This suggests that citizen science data may be a more accurate source for estimating species abundance and rarity. The discrepancies in rarity classifications between the datasets were likely due to differences in sample size and potentially other sampling parameters. Nevertheless, combining data collected by both research institutions and citizen science initiatives can help to fill knowledge gaps in reptile species occurrence, thus enhancing the foundation for conservation efforts on a national scale.

Global gaps in citizen‐science data reveal the world's “lost” birds

Biodiversity knowledge gaps, which limit scientific research and conservation planning, are especially acute for the most poorly known organisms. Citizen science offers a powerful and effective means to fill these gaps. The recent growth of citizen‐science platforms has resulted in near‐complete coverage of global avian diversity (~11,849 species). Because shrinking knowledge gaps increasingly reveal meaningful absences, we evaluated the potential of citizen‐science data to establish “lost” bird taxa: those without documentation for more than 10 years. Collating more than 42 million photographic, audio, and video records returned 144 bird species (1.2%) as lost, the majority of which (62%) are in danger of extinction. The higher the coverage by citizen scientists and the longer the interval since their last documented record, the more likely that lost birds are to be imperiled. Our approach provides a data‐driven and reproducible method to identify lost species and elucidates high‐priority knowledge gaps to inform future conservation action.

Representing Neighborhood Health: Exploring Citizen Science as a Democratic Force

Representing Neighborhood Health: Exploring Citizen Science as a Democratic Force

Spatial prioritization of dugong habitats in India can contribute towards achieving the 30 × 30 global biodiversity target

Indian coastal waters are critical for dugong populations in the western Indian Ocean. Systematic spatial planning of dugong habitats can help to achieve biodiversity conservation and area-based protection targets in the region. In this study, we employed environmental niche modelling to predict suitable dugong habitats and identify influencing factors along its entire distribution range in Indian waters. We examined data on fishing pressures collected through systematic interview surveys, citizen-science data, and field surveys to demarcate dugong habitats with varying risks. Seagrass presence was the primary factor in determining dugong habitat suitability across the study sites. Other variables such as depth, bathymetric slope, and Euclidean distance from the shore were significant factors, particularly in predicting seasonal suitability. Predicted suitable habitats showed a remarkable shift from pre-monsoon in Palk Bay to post-monsoon in the Gulf of Mannar, indicating the potential of seasonal dugong movement. The entire coastline along the Palk Bay-Gulf of Mannar region was observed to be at high to moderate risk, including the Gulf of Mannar Marine National Park, a high-risk area. The Andaman Islands exhibited high suitability during pre- and post-monsoon season, whereas the Nicobar Islands were highly suitable for monsoon season. Risk assessment of modelled suitable areas revealed that < 15% of high-risk areas across Andaman and Nicobar Islands and Palk Bay and Gulf of Mannar, Tamil Nadu, fall within the existing protected areas. A few offshore reef islands are identified under high-risk zones in the Gulf of Kutch, Gujarat. We highlight the utility of citizen science and secondary data in performing large-scale spatial ecological analysis. Overall, identifying synoptic scale ‘Critical Dugong Habitats’ has positive implications for the country's progress towards achieving the global 30 × 30 target through systematic conservation planning.

Measuring metrics: what diversity indicators are most appropriate for different forms of data bias?

Biodiversity metrics have become a ubiquitous component of conservation assessments across scales. However, whilst indices have become increasingly widely used, their ability to perform in the face of different biases has remained largely untested under realistic conditions. Citizen science data are increasingly available, but present new challenges and biases, thus understanding how to use them effectively is essential. Here, we built a virtual world incorporating BirdLife data and accounting for their biases, then explored how well commonly‐used diversity metrics could estimate known values across a suite of representative scenarios. We used predictive modelling to model bird diversity globally and overcome biases using the approaches found most accurate in prior assessments. Performance was highly variable across the different types of biases, but in many instances Simpson's index performed best, followed by Hill numbers, whereas Pielou's index was almost universally worst. From standardised tests, we then applied these metrics to eBird data using 611 520 112 samples of 10 359 species of bird (around 88% of known species), to reconstruct global diversity patterns at five and ten km resolutions. However, when we mapped out diversity using Maxent based on these indices, Simpson's index generally over‐predicted diversity, whereas Hill numbers were more conservative. Based on an average of the better projected indices, one can map out diversity across resolutions and overcome biases accurately predicting diversity patterns even for data‐poor areas, but if a single metric is used, Hill numbers are most robust to bias. Going forward, this workflow will enable standardized best practices for diversity mapping based on a clear understanding of the performance of different metrics.