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1. Global mosquito observations dashboard (GMOD): creating a user-friendly web interface fueled by citizen science to monitor invasive and vector mosquitoes

   https://doi.org/10.1186/s12942-023-00350-7  

   Uelmen, Jr., Johnny A. ; Clark, Andrew ; Palmer, John ; Kohler, Jared ; Van Dyke, Landon C. ; Low, Russanne ; Mapes, Connor D. ; Carney, Ryan M. ( October 2023 , International Journal of Health Geographics)

   Mosquitoes and the diseases they transmit pose a significant public health threat worldwide, causing more fatalities than any other animal. To effectively combat this issue, there is a need for increased public awareness and mosquito control. However, traditional surveillance programs are time-consuming, expensive, and lack scalability. Fortunately, the widespread availability of mobile devices with high-resolution cameras presents a unique opportunity for mosquito surveillance. In response to this, the Global Mosquito Observations Dashboard (GMOD) was developed as a free, public platform to improve the detection and monitoring of invasive and vector mosquitoes through citizen science participation worldwide.

   GMOD is an interactive web interface that collects and displays mosquito observation and habitat data supplied by four datastreams with data generated by citizen scientists worldwide. By providing information on the locations and times of observations, the platform enables the visualization of mosquito population trends and ranges. It also serves as an educational resource, encouraging collaboration and data sharing. The data acquired and displayed on GMOD is freely available in multiple formats and can be accessed from any device with an internet connection.

   Since its launch less than a year ago, GMOD has already proven its value. It has successfully integrated and processed large volumes of real-time data (~ 300,000 observations), offering valuable and actionable insights into mosquito species prevalence, abundance, and potential distributions, as well as engaging citizens in community-based surveillance programs.

   GMOD is a cloud-based platform that provides open access to mosquito vector data obtained from citizen science programs. Its user-friendly interface and data filters make it valuable for researchers, mosquito control personnel, and other stakeholders. With its expanding data resources and the potential for machine learning integration, GMOD is poised to support public health initiatives aimed at reducing the spread of mosquito-borne diseases in a cost-effective manner, particularly in regions where traditional surveillance methods are limited. GMOD is continually evolving, with ongoing development of powerful artificial intelligence algorithms to identify mosquito species and other features from submitted data. The future of citizen science holds great promise, and GMOD stands as an exciting initiative in this field.

    

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2. TreeSnap: A citizen science app connecting tree enthusiasts and forest scientists

   https://doi.org/10.1002/ppp3.41  

   Crocker, Ellen ; Condon, Bradford ; Almsaeed, Abdullah ; Jarret, Benjamin ; Nelson, C. Dana ; Abbott, Albert G. ; Main, Doreen ; Staton, Margaret ( June 2019 , PLANTS, PEOPLE, PLANET)

   The scientists that study and work to improve forest health need information on where pests and diseases are spreading, as well as where healthy, resilient trees remain. TreeSnap is a citizen science project and mobile app created to meet this need by enabling citizens to easily submit global positioning system (GPS) locations, photos, and observational information about trees of interest to scientists. The app was designed and built to ensure that the data being collected directly helps scientists engaged in a number of forest health research activities, including studying the genetic diversity of tree species, breeding trees, and monitoring tree health.

    

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3. Citizen science across ages, cultures, and learning environments in Alaska

   Spellman, K.V. ; Shaw, J.D. ; Villano, C.P. ; Mulder, C.P.H. ; Sparrow, E.B. ; Cost, D. ( May 2019 , Rural connections)

   Building community with rural and underrepresented groups has been a challenge in the field of citizen science. At the University of Alaska Fairbanks, a team of scientists, educators, Extension professionals, and evaluators have joined efforts to take on this challenge across Alaska. The goals for Arctic Harvest-Public Participation in Scientific Research are to: 1) investigate how shifts in environmental conditions affect the fate of subsistence berries and timing of berry loss from plants in fall and winter across Alaska; and 2) improve the participation in and effectiveness of citizen science across diverse audiences, particularly at high latitudes where a high proportion of communities have populations underrepresented in STEM. We present the assets that collaboration across a land grant university brought to the table, and the Winterberry Citizen Science program design elements we have developed to engage our 1080+ volunteer berry citizen scientists ages three through elder across urban and rural, Indigenous and non-Indigenous, and formal and informal learning settings. Our interdisciplinary team developed and implemented a program that provides in-person or online support for berry monitoring and data collection, and accommodates different age levels and settings. We also developed and tested an innovative program model that weaves storytelling throughout the citizen science learning cycle, from berries stories from the larger community, to stories of the citizen science process, to stories developed from berry data being collected and applied to future scenarios in a changing climate. The variety of program modifications we created have been highly effective helping reach a variety of settings and age levels. In both informal and formal learning environments in our first two years of the program we have had 568 pre-K and elementary-aged (age 3-12), 424 secondary-aged (age 12-18) youth participants and 107 adults (ages 18+), with 44% of participants coming from groups underrepresented in STEM, and 100% of groups completing berry monitoring throughout the fall. These results highlight the importance of designing the citizen science program with cultural relevance, program delivery options, and relationships between participants and scientists, while remaining committed to making a substantial scientific contribution. 

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4. Using existing infrastructure as ground control points to support citizen science coastal UAS monitoring programs

   https://doi.org/10.3389/fenvs.2023.1101458  

   Rabins, Lucas F. ; Theuerkauf, Ethan J. ; Bunting, Erin L. ( March 2023 , Frontiers in Environmental Science)

   James Kevin Summers, United States (Ed.)

   Recent publications have described the ability of citizen scientists to conduct unoccupied aerial system (UAS) flights to collect data for coastal management. Ground control points (GCPs) can be collected to georeference these data, however collecting ground control points require expensive surveying equipment not accessible to citizen scientists. Instead, existing infrastructure can be used as naturally occurring ground control points (NGCPs), although availably of naturally occurring ground control point placement on such infrastructure differs from published best practices of ground control point placement. This study therefore evaluates the achievable accuracy of sites georeferenced with naturally occurring ground control points through an analysis of 20 diverse coastal sites. At most sites naturally occurring ground control points produced horizontal and vertical root mean square errors (RMSE) less than 0.060 m which are similar to those obtained using traditional ground control points. To support future unoccupied aerial system citizen science coastal monitoring programs, an assessment to determine the optimal naturally occurring ground control point quantity and distribution was conducted for six coastal sites. Results revealed that generally at least seven naturally occurring ground control points collected in the broadest distribution across the site will result in a horizontal and vertical root mean square errors less than 0.030 m and 0.075 m respectively. However, the relationship between these placement characteristics and root mean square errors was poor, indicating that georeferencing accuracy using naturally occurring ground control points cannot be optimized solely through ideal quantity and distribution. The results of these studies highlight the value of naturally occurring ground control points to support unoccupied aerial system citizen science coastal monitoring programs, however they also indicate a need for an initial accuracy assessment of sites surveyed with naturally occurring ground control points at the onset of such programs.

    

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5. Antipredator behaviors in urban settings: Ecological experimentation powered by citizen science

   https://doi.org/10.1002/ece3.9269  

   Zuckerberg, Benjamin ; McCabe, Jennifer D. ; Gilbert, Neil A. ( September 2022 , Ecology and Evolution)

   Animal behaviors are often modified in urban settings due to changes in species assemblages and interactions. The ability of prey to respond to a predator is a critical behavior, but urban populations may experience altered predation pressure, food supplementation, and other human‐mediated disturbances that modify their responsiveness to predation risk and promote habituation.

   Citizen‐science programs generally focus on the collection and analysis of observational data (e.g., bird checklists), but there has been increasing interest in the engagement of citizen scientists for ecological experimentation.

   Our goal was to implement a behavioral experiment in which citizen scientists recorded antipredator behaviors in wild birds occupying urban areas. In North America, increasing populations ofAccipiterhawks have colonized suburban and urban areas and regularly prey upon birds that frequent backyard bird feeders. This scenario, of an increasingly common avian predator hunting birds near human dwellings, offers a unique opportunity to characterize antipredator behaviors within urban passerines.

   For two winters, we engaged citizen scientists in Chicago, IL, USA to deploy a playback experiment and record antipredator behaviors in backyard birds. If backyard birds maintained their antipredator behaviors, we hypothesized that birds would decrease foraging behaviors and increase vigilance in response to a predator cue (hawk playback) but that these responses would be mediated by flock size, presence of sentinel species, body size, tree cover, and amount of surrounding urban area.

   Using a randomized control–treatment design, citizen scientists at 15 sites recorded behaviors from 3891 individual birds representing 22 species. Birds were more vigilant and foraged less during the playback of a hawk call, and these responses were strongest for individuals within larger flocks and weakest in larger‐bodied birds. We did not find effects of sentinel species, tree cover, or urbanization.

   By deploying a behavioral experiment, we found that backyard birds inhabiting urban landscapes largely maintained antipredator behaviors of increased vigilance and decreased foraging in response to predator cues. Experimentation in citizen science poses challenges (e.g., observation bias, sample size limitations, and reduced complexity in protocol design), but unlike programs focused solely on observational data, experimentation allows researchers to disentangle the complex factors underlying animal behavior and species interactions.

    

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