27,237 research outputs found
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Patterns of contribution to citizen science biodiversity projects increase understanding of volunteers’ recording behaviour
The often opportunistic nature of biological recording via citizen science leads to taxonomic, spatial and temporal biases which add uncertainty to biodiversity estimates. However, such biases may also give valuable insight into volunteers’ recording behaviour. Using Greater London as a case-study we examined the composition of three citizen science datasets – from Greenspace Information for Greater London CIC, iSpot and iRecord - with respect to recorder contribution and spatial and taxonomic biases, i.e. when, where and what volunteers record. We found most volunteers contributed few records and were active for just one day. Each dataset had its own taxonomic and spatial signature suggesting that volunteers’ personal recording preferences may attract them towards particular schemes. There were also patterns across datasets: species’ abundance and ease of identification were positively associated with number of records, as was plant height. We found clear hotspots of recording activity, the 10 most popular sites containing open water. We note that biases are accrued as part of the recording process (e.g. species’ detectability) as well as from volunteer preferences. An increased understanding of volunteer behaviour gained from analysing the composition of records could thus enhance the fit between volunteers’ interests and the needs of scientific projects
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Exploring Engagement Characteristics and Behaviours of Environmental Volunteers
Environmental volunteering and environmental citizen science projects both have a pivotal role in civic participation. However, one of the common challenges is recruiting and retaining an adequate level of participant engagement to ensure the sustainability of these projects. Thus, understanding patterns of participation is fundamental to both types of projects. This study uses and builds on existing quantitative approaches used to characterise the nature of volunteer engagement in online citizen science projects, to see whether similar participatory patterns exist in offline environmental volunteering projects. The study uses activity records of environmental volunteers from a UK environmental charity “The Conservation Volunteers,” and focuses on three characteristics linked to engagement: longevity, frequency, and distance travelled. Findings show differences in engagement patterns and contributor activity between the three UK regions of Greater London, Greater Manchester, and Yorkshire. Cluster analysis revealed three main types of volunteer engagement profiles which are similar in scale across all regions, namely participants can be grouped into “One-Session,” “Short-Term,” and “Long-Term” volunteer. Of these, the “One-Session” volunteer accounted for the largest group of volunteers
Wildbook: Crowdsourcing, computer vision, and data science for conservation
Photographs, taken by field scientists, tourists, automated cameras, and
incidental photographers, are the most abundant source of data on wildlife
today. Wildbook is an autonomous computational system that starts from massive
collections of images and, by detecting various species of animals and
identifying individuals, combined with sophisticated data management, turns
them into high resolution information database, enabling scientific inquiry,
conservation, and citizen science.
We have built Wildbooks for whales (flukebook.org), sharks (whaleshark.org),
two species of zebras (Grevy's and plains), and several others. In January
2016, Wildbook enabled the first ever full species (the endangered Grevy's
zebra) census using photographs taken by ordinary citizens in Kenya. The
resulting numbers are now the official species census used by IUCN Red List:
http://www.iucnredlist.org/details/7950/0. In 2016, Wildbook partnered up with
WWF to build Wildbook for Sea Turtles, Internet of Turtles (IoT), as well as
systems for seals and lynx. Most recently, we have demonstrated that we can now
use publicly available social media images to count and track wild animals.
In this paper we present and discuss both the impact and challenges that the
use of crowdsourced images can have on wildlife conservation.Comment: Presented at the Data For Good Exchange 201
Participatory Patterns in an International Air Quality Monitoring Initiative
The issue of sustainability is at the top of the political and societal
agenda, being considered of extreme importance and urgency. Human individual
action impacts the environment both locally (e.g., local air/water quality,
noise disturbance) and globally (e.g., climate change, resource use). Urban
environments represent a crucial example, with an increasing realization that
the most effective way of producing a change is involving the citizens
themselves in monitoring campaigns (a citizen science bottom-up approach). This
is possible by developing novel technologies and IT infrastructures enabling
large citizen participation. Here, in the wider framework of one of the first
such projects, we show results from an international competition where citizens
were involved in mobile air pollution monitoring using low cost sensing
devices, combined with a web-based game to monitor perceived levels of
pollution. Measures of shift in perceptions over the course of the campaign are
provided, together with insights into participatory patterns emerging from this
study. Interesting effects related to inertia and to direct involvement in
measurement activities rather than indirect information exposure are also
highlighted, indicating that direct involvement can enhance learning and
environmental awareness. In the future, this could result in better adoption of
policies towards decreasing pollution.Comment: 17 pages, 6 figures, 1 supplementary fil
Using citizen science to monitor pollination services
1. Pollination by insects is a vital ecosystem service and the need for its assessment is increasing in recognition and political pressure, but there are currently no large-scale systematic monitoring schemes in place to measure the direct provision of this service.
2. This study tested a protocol for using a citizen science approach to quantify pollination service provision in gardens and allotments, requiring participants to grow Vica faba L. plants and carry out some simple manipulations of the pollination environment (flowers with bees excluded, flowers hand-pollinated, or flowers left for local pollinators to visit). Volunteers assessed yield in the three treatments.
3. Eighty participants from across the U.K. successfully completed all parts of the protocol; a further 93 participants were unsuccessful but actively engaged with the project.
4. Overall, the present results suggest that pollination services for V. faba are currently not limiting in gardens or allotments in the U.K. It is possible and cost-effective to recruit volunteers to collect data on pollination deficits using this protocol.
5. The approach used in this paper, which could readily be extended to incorporate other plant species reliant on different guilds of pollinators, is feasible for adoption as a national monitoring scheme for pollination services.
Key words. Bees, bumblebees, crop yield, ecosystem services, pollinator, urban, Viciafab
Understanding citizen science and environmental monitoring: final report on behalf of UK Environmental Observation Framework
Citizen science can broadly be defined as the involvement of volunteers in science. Over the past decade there has
been a rapid increase in the number of citizen science initiatives. The breadth of environmental-based citizen
science is immense. Citizen scientists have surveyed for and monitored a broad range of taxa, and also contributed
data on weather and habitats reflecting an increase in engagement with a diverse range of observational science.
Citizen science has taken many varied approaches from citizen-led (co-created) projects with local community
groups to, more commonly, scientist-led mass participation initiatives that are open to all sectors of society. Citizen
science provides an indispensable means of combining environmental research with environmental education and
wildlife recording.
Here we provide a synthesis of extant citizen science projects using a novel cross-cutting approach to objectively
assess understanding of citizen science and environmental monitoring including: 1. Brief overview of knowledge on the motivations of volunteers.
2. Semi-systematic review of environmental citizen science projects in order to understand the variety of
extant citizen science projects.
3. Collation of detailed case studies on a selection of projects to complement the semi-systematic review.
4. Structured interviews with users of citizen science and environmental monitoring data focussing on policy, in
order to more fully understand how citizen science can fit into policy needs.
5. Review of technology in citizen science and an exploration of future opportunities
Sharing news, making sense, saying thanks: patterns of talk on Twitter during the Queensland floods
Abstract: This paper examines the discursive aspects of Twitter communication during the floods in the summer of 2010–2011 in Queensland, Australia. Using a representative sample of communication associated with the #qldfloods hashtag on Twitter, we coded and analysed the patterns of communication. We focus on key phenomena in the use of social media in crisis communication: communal sense-making practices, the negotiation of participant roles, and digital convergence around shared events. Social media is used both as a crisis communication and emergency management tool, as well as a space for participants to engage in emotional exchanges and communication of distress.Authored by Frances Shaw, Jean Burgess, Kate Crawford and Axel Bruns
Characterising Volunteers' Task Execution Patterns Across Projects on Multi-Project Citizen Science Platforms
Citizen science projects engage people in activities that are part of a
scientific research effort. On multi-project citizen science platforms,
scientists can create projects consisting of tasks. Volunteers, in turn,
participate in executing the project's tasks. Such type of platforms seeks to
connect volunteers and scientists' projects, adding value to both. However,
little is known about volunteer's cross-project engagement patterns and the
benefits of such patterns for scientists and volunteers. This work proposes a
Goal, Question, and Metric (GQM) approach to analyse volunteers' cross-project
task execution patterns and employs the Semiotic Inspection Method (SIM) to
analyse the communicability of the platform's cross-project features. In doing
so, it investigates what are the features of platforms to foster volunteers'
cross-project engagement, to what extent multi-project platforms facilitate the
attraction of volunteers to perform tasks in new projects, and to what extent
multi-project participation increases engagement on the platforms. Results from
analyses on real platforms show that volunteers tend to explore multiple
projects, but they perform tasks regularly in just a few of them; few projects
attract much attention from volunteers; volunteers recruited from other
projects on the platform tend to get more engaged than those recruited outside
the platform. System inspection shows that platforms still lack personalised
and explainable recommendations of projects and tasks. The findings are
translated into useful claims about how to design and manage multi-project
platforms.Comment: XVIII Brazilian Symposium on Human Factors in Computing Systems
(IHC'19), October 21-25, 2019, Vit\'oria, ES, Brazi
Digital Innovation Through Partnership Between Nature Conservation Organisations and Academia : A Qualitative Impact Assessment
We would like to thank all interviewees for sharing their experiences of working with academics, and the guest editor and three anonymous reviewers for valuable comments on earlier versions of the work. The research in this paper is supported by the RCUK dot.rural Digital economy Research Hub, University of Aberdeen (Grant reference: EP/G066051/1).Peer reviewedPublisher PD
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