Online Citizen Science Platform Research Articles

Comparison of speech and music input in North American infants' home environment over the first 2 years of life.

Infants are immersed in a world of sounds from the moment their auditory system becomes functional, and experience with the auditory world shapes how their brain processes sounds in their environment. Across cultures, speech and music are two dominant auditory signals in infants' daily lives. Decades of research have repeatedly shown that both quantity and quality of speech input play critical roles in infant language development. Less is known about the music input infants receive in their environment. This study is the first to compare music input to speech input across infancy by analyzing a longitudinal dataset of daylong audio recordings collected in English-learning infants' home environments, at 6, 10, 14, 18, and 24 months of age. Using a crowdsourcing approach, 643 naïve listeners annotated 12,000 short snippets (10 s) randomly sampled from the recordings using Zooniverse, an online citizen-science platform. Results show that infants overall receive significantly more speech input than music input and the gap widens as the infants get older. At every age point, infants were exposed to more music from an electronic device than an in-person source; this pattern was reversed for speech. The percentage of input intended for infants remained the same over time for music while that percentage significantly increased for speech. We propose possible explanations for the limited music input compared to speech input observed in the present (North American) dataset and discuss future directions. We also discuss the opportunities and caveats in using a crowdsourcing approach to analyze large audio datasets. A video abstract of this article can be viewed at https://youtu.be/lFj_sEaBMN4.

Quantifying How Natural History Traits Contribute to Bias in Community Science Engagement: A Case Study Using Orbweaver Spiders

Online citizen science platforms can be crucial to the scientific and regulatory community, but inherent biases based on organism traits can influence the likelihood of a species being reported and accurately identified. We explored how traits of orb weaving spiders impact data in iNaturalist, using the invasive Jorō spider as a case study. This species is an outlier among orbweavers due to its large size and bright coloration, and was the most frequently reported species, with the most identifications and research-grade observations. It was also reported by less experienced users on average, highlighting its potential role as a gateway species into community science participation. This bias towards large, flashy orbweaver species suggests underrepresentation of smaller, drab species. Given the increasing importance of open access digital biodiversity records, we encourage researchers to engage more with the iNaturalist community and contribute their expertise in improving the data quality wherever possible.

Diet and bird-plant interaction networks based on citizen science data in Lima, Peru: exotic and native species are important

ABSTRACT We compiled bird feeding records in Lima City (Peru) through an in-depth review of online citizen science platforms. Additionally, we analyzed bird-plant interaction networks to assess how the origin status of bird and plant species, as well as species with ornithophilous flowers, contribute to structuring those interactions. The compiled records encompassed 43 bird species and 96 food resources. The native Amazilis amazilia and the exotic Forpus coelestis were the most recorded birds, accounting for 21.5% and 9.9% of the total feeding records, respectively. Plants were the most frequent resource, making up 82.7% of feeding records, while the rest corresponded to insects, fish, and other uncommon cases. Nectarivory and frugivory were the main bird-plant interactions observed. Interaction network analyses for general bird-plant interactions and nectarivory interactions did not show significant modular or nested structures in either case and were highly disconnected. At the species level, the measure of centrality did not significantly differ between exotic and native plants, as well as birds. This suggests that these groups contribute almost equally to maintaining bird-plant interactions. However, for nectarivory interactions, plants with ornithophilous flowers had greater importance in the network, as indicated by their higher centrality values.

How to co-create content moderation policies: the case of the AutSPACEs project

Abstract The moderation of user-generated content on online platforms remains a key solution to protecting people online, but also remains a perpetual challenge as the appropriateness of content moderation guidelines depends on the online community that they aim to govern. This challenge affects marginalized groups in particular, as they more frequently experience online abuse but also end up falsely being the target of content-moderation guidelines. While there have been calls for democratic, community-moderation, there has so far been little research into how to implement such approaches. Here, we present the co-creation of content moderation strategies with the users of an online platform to address some of these challenges. Within the context of AutSPACEs—an online citizen science platform that aims to allow autistic people to share their own sensory processing experiences publicly—we used a community-based and participatory approach to co-design a content moderation solution that would fit the preferences, priorities, and needs of its autistic user community. We outline how this approach helped us discover context-specific moderation dilemmas around participant safety and well-being and how we addressed those. These trade-offs have resulted in a moderation design that differs from more general social networks in aspects such as how to contribute, when to moderate, and what to moderate. While these dilemmas, processes, and solutions are specific to the context of AutSPACEs, we highlight how the co-design approach itself could be applied and useful for other communities to uncover challenges and help other online spaces to embed safety and empowerment.

UPDATE OF THE ALIEN DISTRIBUTION OF THE JASMINE LACEBUG THROUGH A CITIZEN-SCIENCE APPROACH

Alien lacebugs have been recorded in most Mediterranean countries and, in Italy, in several western coastal regions. In this work, we collected new data on the jasmine lacebug Corythauma ayyari through a citizen-science approach. We reported for the first time its presence in three new Italian regions (Lombardy, Piedmont, and Marche), as well as in the hinterland areas of Israel, France, and Spain, up to over 220 km from the nearest coastal area. Through molecular analyses based on the mitochondrial gene of cytochrome oxidase I, we identified three new mitochondrial haplotypes in Italy, suggesting the possibility of recent introductions through plant trading. The increased distribution range towards the European hinterlands by C. ayyari needs to be monitored, as these introduced aliens are responsible for severe impacts on ornamental plants. Furthermore, improved controls in port areas should be recommended to prevent new invasions. We strongly recommend using multi-taxon, pan-continental platforms of citizen-science to collect data and keep the distribution of alien species updated. Key Words: Corythauma ayyari; Mediterranean basin; mitochondrial DNA; online citizen-science platforms; Tingidae.

A Jupiter-family Comet Discovery via Citizen Science: 2005 XR132

We report the discovery of cometary activity associated with minor planet 2005 XR132, a finding facilitated by our NASA Partner program Active Asteroids, hosted on the Zooniverse online Citizen Science platform. Volunteers identified activity in a Dark Energy Camera image of 2005 XR132 from UT 2021 March 26, and our own investigation uncovered additional images of activity in Zwicky Transient Facility data spanning UT 2021 January 3 through March 31. 2005 XR132 has a semimajor axis a = 3.760 au, eccentricity e = 0.432, inclination i = 14.°474, and a Tisserand parameter with respect to Jupiter of T J = 2.869, and thus is dynamically classified as a Jupiter-family comet.

Accurate detection and identification of insects from camera trap images with deep learning

Reported insect declines have dramatically increased the global demand for standardized insect monitoring data. Image-based monitoring can generate such data cost-efficiently and non-invasively. However, extracting ecological data from images is more challenging for insects than for vertebrates because of their small size and great diversity. Deep learning facilitates fast and accurate insect detection and identification, but the lack of training data for coveted deep learning models is a major obstacle for their application. We present a large annotated image dataset of functionally important insect taxa. The primary dataset consists of 29,960 annotated insects representing nine taxa including bees, hoverflies, butterflies and beetles across more than two million images recorded with ten time-lapse cameras mounted over flowers during the summer of 2019. The insect image dataset was extracted using an iterative approach: First, a preliminary detection model identified candidate insects. Second, candidate insects were manually screened by users of an online citizen science platform. Finally, all annotations were quality checked by experts. We used the dataset to train and compare the performance of selected You Only Look Once (YOLO) deep learning algorithms. We show that these models detect and classify small insects in complex scenes with unprecedented accuracy. The best performing YOLOv5 model consistently identifies nine dominant insect species that play important roles in pollination and pest control across Europe. The model reached an average precision of 92.7% and recall of 93.8% in detection and classification across species. Importantly, when presented with uncommon or unclear insects not seen during training, our model detects 80% of individuals and usually interprets them as closely related species. This is a useful property to (1) detect rare insects for which training data are absent, and (2) generate new training data to correctly identify those insects in future. Our camera system, dataset and deep learning framework show promising results in non-destructive monitoring of insects. Furthermore, resulting data are useful to quantify phenology, abundance, and foraging behaviour of flower-visiting insects. Above all, this dataset represents a critical first benchmark for future development and evaluation of deep learning models for insect detection and identification.

Solitary, in the night, it goes: summary of records and range expansion of the common genet in Italy

Abstract The common genet Genetta genetta is a small carnivoran mammal with a wide distribution range covering most of Africa. This species has been introduced to the Iberian Peninsula over 1000 years ago, and then it has spread throughout most of France, reaching Switzerland and North-Western Italy. In this note, we summarised the distribution of the common genet, in Italy, by reviewing grey/scientific literature and records available on online citizen-science platforms. We collected a total of 39 confirmed records, mainly from latrines and killed individuals, which showed that the species, present almost during all the year, has increased its range since the previous summary of 2008.

Disaster, Infrastructure and Participatory Knowledge: The Planetary Response Network

There are many challenges involved in online participatory humanitarian response. We evaluate the Planetary Response Network (PRN), a collaboration between researchers, humanitarian organizations, and the online citizen science platform Zooniverse. The PRN uses satellite and aerial image analysis to provide stakeholders with high-level situational awareness during and after humanitarian crises. During past deployments, thousands of online volunteers have compared pre- and post-event satellite images to identify damage to infrastructure and buildings, access blockages, and signs of people in distress. In addition to collectively producing aggregated “heat maps” of features that are shared with responders and decision makers, individual volunteers may also flag novel features directly using integrated community discussion software. The online infrastructure facilitates worldwide participation even for geographically focused disasters; this widespread public participation means that high-value information can be delivered rapidly and uniformly even for large-scale crises. We discuss lessons learned from deployments, place the PRN’s distributed online approach in the context of more localized efforts, and identify future needs for the PRN and similar online crisis-mapping projects. The successes of the PRN demonstrate that effective online crisis mapping is possible on a generalized citizen science platform such as the Zooniverse.

Bird Communities and Their Conservation Priorities are Better Understood through the Integration of Traditional and Citizen Science Data: An Example from Brazilian Atlantic Forest

The status of endemic and threatened birds of the Brazilian Atlantic Forest remains poorly understood. Citizen science offers information that helps fill this gap. In southern Brazil, traditional science was carried out in 15 of 50 municipalities in western Paraná state, reporting 82 endemic and 25 threatened species in a total of 467. WikiAves, the most popular, photography-based online citizen science platform in Brazil, whose users are not trained to collect data, reported 56 endemic and 11 threatened species in a total of 430 in 48 municipalities. Together, the 512 species is 92% of the expected 558, and all endemic and threatened species reported in WikiAves were reported by traditional scientists. Traditional scientists studied in protected areas, provided a list of species, and reported > 200 species in 4 municipalities, endemic species in 14, and threatened species in 11. The number of species reported correlated with the number of studies in the municipality. Citizen scientists tended to photograph target species, and reported > 200 species in 2 municipalities, endemic species in 31, and threatened in 12. The number of records was correlated with population of the municipality. Traditional scientists tend to test hypotheses and use appropriate methods. Citizen scientists seem to photograph close to home, without using scientific methods. We offer suggestions to better integrate traditional and citizen science data; each adds information useful for both, improving both of their contributions to science and conservation.

Content-oriented or persona-oriented? A text analytics of endorsement strategies on public willingness to participate in citizen science

This paper applies text analytics to study how the orientation of an endorsement strategy affects the public's willingness to participate in citizen science projects. Using 850 citizen science projects with 1,243 endorsements from an online citizen science platform Experiment.com as corpus, the orientation of the endorsement strategies is detected using the naïve Bayesian inference model with a Laplace estimator. Our results inform that 39% of the endorsements are persona-oriented while 61% are content-oriented. A persona-oriented endorsement strategy draws more participants but reduces the per capita invested. A content-oriented endorsement strategy has the opposite effect. Further, the project initiator's identity strengthens or weakens the effect of the endorsement orientation strategy. In the number of participants model, the projects initiated by the professional scientists and research students are positively moderated by persona-orientation endorsements, whereas the projects initiated by the amateur researchers are negatively moderated. The converse holds for the per capita invested model.

Gender Imbalance and Spatiotemporal Patterns of Contributions to Citizen Science Projects: The Case of Zooniverse

Citizen Science is research undertaken by professional scientists and members of the public collaboratively. Despite numerous benefits of citizen science for both the advancement of science and the community of the citizen scientists, there is still no comprehensive knowledge of patterns of contributions, and the demography of contributors to citizen science projects. In this paper we provide a first overview of spatiotemporal and gender distribution of citizen science workforce by analyzing 54 million classifications contributed by more than 340 thousand citizen science volunteers from 198 countries to one of the largest online citizen science platforms, Zooniverse. First we report on the uneven geographical distribution of the citizen scientist and model the variations among countries based on the socio-economic conditions as well as the level of research investment in each country. Analyzing the temporal features of contributions, we report on high “burstiness” of participation instances as well as the leisurely nature of participation suggested by the time of the day that the citizen scientists were the most active. Finally, we discuss the gender imbalance among online citizen scientists (about 30% female) and compare it with other collaborative projects as well as the gender distribution in more formal scientific activities. Online citizen science projects need further attention from outside of the academic community, and our findings can help attract the attention of public and private stakeholders, as well as to inform the design of the platforms and science policy making processes.

CHECKLIST OF MACRO-INVERTEBRATES OF THE SPECIAL CONSERVA-TION AREA “POGGI DI PRATA” (GROSSETO, CENTRAL ITALY)THROUGH A CITIZEN-SCIENCE AND EXPERT-BASED APPROACH

The assessment of species composition in a certain area may become outdated over time due to community dynamics including species range expansion, but also to local extinctions, species introductions and taxonomic redefinition. Therefore, updated checklists are required for animal conservation and management. Exhaustive checklists of invertebrate species may be challenging, as species determination often requires the analysis by specialists, but they are fundamental for local conservation practices. In this work, we provided an annotated preliminary checklist of invertebrates of the Special Conservation Area “Poggi di Prata” (province of Grosseto, southern Tuscany), detected through field samplings with experts, and a permanent Bioblitz set out on an online citizen-science platform (iNaturalist.org). The final dataset(1898-2020)included 329records of 282 species (217insects, 34gastropods, 30arachnids and 1 chilopod). Most records were uploaded on iNaturalist (about 56.5%), others came from observations or sampling collections(37%) and were determined by specialists. Only the remaining 6.5% of records came from published studies. Three species were protected by the Habitat Directive, 15 by the Tuscan Regional Law. We also detected two endemic or near-endemic taxa of this area: the beetle Paramaurops diecki massetanus and the land snail Marmorana saxetana. The unexpected (Italian southernmost) record of Gaurotes virginea needs to be deepened. Furthermore, 12 alien species, including insects affecting human economy and wellness (e.g., Rhinchophorous ferrugineus, Aedes albopictus, Halyomorpha halys, Dryocosmus kuriphilus and Cydalima perspectalis), were also detected. With our work, we confirmed that citizen-science platforms (e.g. iNaturalist) are valuable tools, complementary to field-work by specialists, to map local biodiversity and they may help to improve biogeographical knowledge.

Crowdsourcing citation-screening in a mixed-studies systematic review: a feasibility study

BackgroundCrowdsourcing engages the help of large numbers of people in tasks, activities or projects, usually via the internet. One application of crowdsourcing is the screening of citations for inclusion in a systematic review. There is evidence that a ‘Crowd’ of non-specialists can reliably identify quantitative studies, such as randomized controlled trials, through the assessment of study titles and abstracts. In this feasibility study, we investigated crowd performance of an online, topic-based citation-screening task, assessing titles and abstracts for inclusion in a single mixed-studies systematic review.MethodsThis study was embedded within a mixed studies systematic review of maternity care, exploring the effects of training healthcare professionals in intrapartum cardiotocography. Citation-screening was undertaken via Cochrane Crowd, an online citizen science platform enabling volunteers to contribute to a range of tasks identifying evidence in health and healthcare. Contributors were recruited from users registered with Cochrane Crowd. Following completion of task-specific online training, the crowd and the review team independently screened 9546 titles and abstracts. The screening task was subsequently repeated with a new crowd following minor changes to the crowd agreement algorithm based on findings from the first screening task. We assessed the crowd decisions against the review team categorizations (the ‘gold standard’), measuring sensitivity, specificity, time and task engagement.ResultsSeventy-eight crowd contributors completed the first screening task. Sensitivity (the crowd’s ability to correctly identify studies included within the review) was 84% (N = 42/50), and specificity (the crowd’s ability to correctly identify excluded studies) was 99% (N = 9373/9493). Task completion was 33 h for the crowd and 410 h for the review team; mean time to classify each record was 6.06 s for each crowd participant and 3.96 s for review team members. Replicating this task with 85 new contributors and an altered agreement algorithm found 94% sensitivity (N = 48/50) and 98% specificity (N = 9348/9493). Contributors reported positive experiences of the task.ConclusionIt might be feasible to recruit and train a crowd to accurately perform topic-based citation-screening for mixed studies systematic reviews, though resource expended on the necessary customised training required should be factored in. In the face of long review production times, crowd screening may enable a more time-efficient conduct of reviews, with minimal reduction of citation-screening accuracy, but further research is needed.

COVID-19 pandemic drives changes in participation in citizen science project “City Nature Challenge” in Tokyo

The COVID-19 pandemic has changed the way large citizen science events can be carried out—reducing gatherings of large groups and shifting toward individual, small-group, and online participation. This paper aims to describe changes in participant engagement in the City Nature Challenge (CNC) in Tokyo. The CNC is a four-day international event held in April to document biodiversity in cities using an online citizen science platform, iNaturalist. To assess the impact of COVID-19, we compared the number of participants, observations, species, and identification rates in 2019 (pre-pandemic) and 2020 (during the pandemic). We also used cluster analysis to elucidate participation patterns, and we assessed changes in the geographical distribution of observation sites. The results showed: (1) the number of participants and observations decreased by 63% and 68%, respectively; however, the number of species was almost the same in the two years, and the identification rate increased 154% in 2020 relative to 2019. (2) The most enthusiastic participants contributed in similar amounts in 2019 and 2020, but participation by less enthusiastic volunteers drastically declined. (3) The spatial distribution of observation sites changed from cluster-like to scattered. Understanding participant engagement during the pandemic could help to improve data quality, reduce geographical bias in observations, maintain records, and recruit more users in future years. Online citizen science could provide opportunities for many citizens to get outside and participate in conservation science during and after the pandemic.

Potentials and Pitfalls of Mapping Nature-Based Solutions with the Online Citizen Science Platform ClimateScan

Online knowledge-sharing platforms could potentially contribute to an accelerated climate adaptation by promoting more green and blue spaces in urban areas. The implementation of small-scale nature-based solutions (NBS) such as bio(swales), green roofs, and green walls requires the involvement and enthusiasm of multiple stakeholders. This paper discusses how online citizen science platforms can stimulate stakeholder engagement and promote NBS, which is illustrated with the case of ClimateScan. Three main concerns related to online platforms are addressed: the period of relevance of the platform, the lack of knowledge about the inclusiveness and characteristics of the contributors, and the ability of sustaining a well-functioning community with limited resources. ClimateScan has adopted a “bottom–up” approach in which users have much freedom to create and update content. Within six years, this has resulted in an illustrated map with over 5000 NBS projects around the globe and an average of more than 100 visitors a day. However, points of concern are identified regarding the data quality and the aspect of community-building. Although the numbers of users are rising, only a few users have remained involved. Learning from these remaining top users and their motivations, we draw general lessons and make suggestions for stimulating long-term engagement on online knowledge-sharing platforms.

Chimpanzee identification and social network construction through an online citizen science platform.

Citizen science has grown rapidly in popularity in recent years due to its potential to educate and engage the public while providing a means to address a myriad of scientific questions. However, the rise in popularity of citizen science has also been accompanied by concerns about the quality of data emerging from citizen science research projects. We assessed data quality in the online citizen scientist platform Chimp&See, which hosts camera trap videos of chimpanzees (Pan troglodytes) and other species across Equatorial Africa. In particular, we compared detection and identification of individual chimpanzees by citizen scientists with that of experts with years of experience studying those chimpanzees. We found that citizen scientists typically detected the same number of individual chimpanzees as experts, but assigned far fewer identifications (IDs) to those individuals. Those IDs assigned, however, were nearly always in agreement with the IDs provided by experts. We applied the data sets of citizen scientists and experts by constructing social networks from each. We found that both social networks were relatively robust and shared a similar structure, as well as having positively correlated individual network positions. Our findings demonstrate that, although citizen scientists produced a smaller data set based on fewer confirmed IDs, the data strongly reflect expert classifications and can be used for meaningful assessments of group structure and dynamics. This approach expands opportunities for social research and conservation monitoring in great apes and many other individually identifiable species.

Plants meet machines: Prospects in machine learning for plant biology

Plants meet machines: Prospects in machine learning for plant biology

The Role of Forest Elephants in Shaping Tropical Forest\u2013Savanna Coexistence

Forest edges that border savanna are dynamic features of tropical landscapes. Although the role of fire in determining edge dynamics has been relatively well explored, the role of mega-herbivores, specifically elephants, has not received as much attention. We investigated the role of forest elephants in shaping forest edges of the forest–savanna mosaic in Lopé National Park, Gabon. Using forty camera traps, we collected 1.2 million images between May 2016 and June 2017. These images were classified by over 10,000 volunteers through an online citizen science platform. These data were combined with a 33-year phenology dataset on elephant-favoured fruiting tree species, and field measurements of elephant browsing preferences and damage. Our results showed a strong relationship between forest elephant density at the forest edge and fruit availability. When fruit availability was high, elephant density at the edge reached values nearly double the highest densities ever reported in any other part of the landscape (7.5 elephants km−2 in this study vs the previous highest estimate of 4 elephants km−2). The highest elephant densities occurred at the end of the dry season, but even outside of this high density period elephant density at the forest edge (2.4 elephants km−2) was more than double what other studies estimate for forest interiors with low human hunting pressure (1 elephant km−2). We found forest elephants to be selective browsers, but their browsing was non-destructive (in contrast to savanna elephants) and had little effect on tree size demography. Elephant paths acted as firebreaks during savanna burning, making them inadvertent protectors of the fire-sensitive forest and contributing to the stabilising feedbacks that allow forest and savanna to coexist in tropical landscapes.

Green Pioneers: Raising awareness of invasive plants for all ages

When researchers and managers are asked to rank the issues that prevent adequate control of invasive species, lack of public awareness is at the top of the list (Dehnen‐Schmutz et al. 2018). It is therefore imperative to raise the general public's awareness of the potential risks of introducing alien species into the wild. Green Pioneers, a citizen science project funded by the Flemish Government, (Fig. 1) aims to address this issue in Belgium, across age groups. The project aims to Create awareness on invasive species, highlighting how invasions can be avoided and how to mitigate their impact. Improve communication between citizens and scientists on conservation and invasive plant species. Augment the quality and quantity of data on invasive species. Create awareness on invasive species, highlighting how invasions can be avoided and how to mitigate their impact. Improve communication between citizens and scientists on conservation and invasive plant species. Augment the quality and quantity of data on invasive species. The project is developing three kinds of activity, specifically to attract a broad demographic: - 'Young Pioneers', by developing tools for teachers in science, technology, engineering and mathemathics for school children from 12-15 years old. - 'Online Pioneers', through our online citizen science platform DoeDat.be, by helping with the transcription of label information on herbarium specimens, - and 'Visiteers', by inviting companies and working age people to help us in the collection and to inform them about invasive species. Finally, we will be organizing a BioBlitz in spring 2020 at Meise Botanic Garden where we will celebrate plants and all our Green Pioneers, while also spreading the message of invasive plant awareness. During our 48 hour BioBlitz, scientists, volunteers and citizens are workig together to survey the biodiversity of our Botanic Garden. Ultimately, Green Pioneers aim to encourage recording of alien species by amateur botanists and create a generation of responsible gardeners who understand the consequences of releasing invasive alien plants into the wild.