Article
Remote Sensing
Xiao Huang, Di Yang, Yaqian He, Peder Nelson, Russanne Low, Shawna McBride, Jessica Mitchell, Michael Guarraia
Summary: This study assessed the efficacy of the GLOBE Observer Land Cover program's multi-directional data-collecting protocol and found that multi-directional views benefit land cover classification. They developed a classification framework using various deep learning architectures and observed that classification performance improved when more directional views were involved.
INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION
(2023)
Review
Endocrinology & Metabolism
Jacqueline Monaghan, Kathryn Backholer, Amy-Louise McKelvey, Rebecca Christidis, Ann Borda, Cobi Calyx, Alessandro Crocetti, Christine Driessen, Christina Zorbas
Summary: Globally, there is inadequate adoption and implementation of policies to improve food environments and prevent weight gain. Monitoring dynamic food environments is complex, but crowdsourcing can increase data collection by engaging citizens. A scoping review identified 42 articles, which showed that photovoice techniques were commonly used to understand access to healthy food, while some studies developed apps for price and nutritional data collection. Crowdsourced data from engaging priority populations have potential to improve public and policy engagement with equitable food policy actions.
Article
Multidisciplinary Sciences
Carl Salk, Elena Moltchanova, Linda See, Tobias Sturn, Ian McCallum, Steffen Fritz
Summary: Involving the public in image classification tasks is a way to complete tasks and promote citizen involvement in science. This paper develops a system to confidently classify images and remove them from tasks based on volunteer contributions and certainty thresholds.
Article
Mathematics
Jesus Cerquides, Mehmet Oguz Mulayim, Jeronimo Hernandez-Gonzalez, Amudha Ravi Shankar, Jose Luis Fernandez-Marquez
Summary: Over the past decade, hundreds of thousands of volunteers have contributed to science through citizen science, but little attention has been paid to data quality issues. This study proposes a probabilistic methodology for evaluating the accuracy of labeling data obtained through crowdsourcing in citizen science and demonstrates how this methodology can be practically applied through a comparison of earthquake data from different citizen science communities.
Article
Environmental Sciences
Linda See, Juan Carlos Laso Bayas, Myroslava Lesiv, Dmitry Schepaschenko, Olga Danylo, Ian McCallum, Martina Duerauer, Ivelina Georgieva, Dahlia Domian, Dilek Fraisl, Gerid Hager, Santosh Karanam, Inian Moorthy, Tobias Sturn, Anto Subash, Steffen Fritz
Summary: The development of the crowdsourcing platform Geo-Wiki has addressed the lack of reference data for remote sensing products. By involving citizens in crowdsourcing campaigns, large amounts of data have been collected for land cover and land use research, resulting in significant scientific advances.
ENVIRONMENTAL RESEARCH LETTERS
(2022)
Article
Environmental Studies
Mohammad Naghavi, Ali A. Alesheikh, Farshad Hakimpour, Mohammad H. Vahidnia, Alireza Vafaeinejad
Summary: The importance of establishing and recording legal ownership of property and land has been recognized by the general public and land administration organizations. Developing countries have recently adopted public participation methods to create land ownership records. This study focuses on designing and developing a model called Volunteered Rights-based Spatial Data Infrastructure (VRSDI) based on the Spatial Data Infrastructure (SDI) and volunteered geographic information (VGI). The findings suggest that this approach can lead to integrated land management by involving citizens and the government.
Article
Remote Sensing
Giles Foody, Gavin Long, Michael Schultz, Ana-Maria Olteanu-Raimond
Summary: The potential of citizens as a source of geographical information has been recognized and has grown recently due to affordable location aware devices and internet data sharing. This article shares experiences and learnings from the LandSense project, aimed at further developing citizen science within Earth observation and addressing environmental challenges. The focus is on quality assurance of citizen generated data on land use and cover, particularly to support analyses of remotely sensed data and products, providing good practice advice for future studies and maximizing the potential of citizens as a source of volunteered geographical information (VGI).
GEO-SPATIAL INFORMATION SCIENCE
(2022)
Article
Humanities, Multidisciplinary
Mara Balestrini, Alexander Kotsev, Marisa Ponti, Sven Schade
Summary: The increase in projects producing citizen-generating data over the past decade has been significant, with many initiatives relying on multi-actor collaboration and support from NGOs, public sector, businesses, and community-based organizations. Challenges related to capacity building and sustainability should be addressed to ensure the effectiveness and quality of collected data in these projects.
HUMANITIES & SOCIAL SCIENCES COMMUNICATIONS
(2021)
Article
Ecology
Heather A. Fischer, Leah R. Gerber, Elizabeth A. Wentz
Summary: Contributory citizen science programs can generate vast amounts of ecological monitoring data, but scientists have doubts about the data quality. Existing methods mainly focus on internal data quality, which may not be usable for third-party scientists. Using the STAAq assessment approach can evaluate the fitness of datasets for addressing particular research or monitoring questions.
FRONTIERS IN ECOLOGY AND EVOLUTION
(2021)
Article
Environmental Sciences
D. Fraisl, L. See, T. Sturn, S. MacFeely, A. Bowser, J. Campbell, I Moorthy, O. Danylo, I McCallum, S. Fritz
Summary: SDGs serve as a universal agenda for addressing global challenges, while official statistics may not be sufficient to provide all necessary data. Citizen science, such as the Picture Pile tool, offers a potential solution to complement traditional data sources for monitoring progress towards the SDGs. Collaboration and development are needed to fully utilize and showcase the potential of citizen science tools like Picture Pile for SDG monitoring.
ENVIRONMENTAL SCIENCE & POLICY
(2022)
Article
Environmental Sciences
Aikaterini Karagiannopoulou, Athanasia Tsertou, Georgios Tsimiklis, Angelos Amditis
Summary: Recent advances in Earth Observation have highlighted the importance of Citizen Science in providing information for the SDGs and climate neutrality targets. However, models and tools that assimilate these data sources have not been thoroughly investigated. This literature review aims to address this gap and discuss the benefits and future directions. The review found a preference for multispectral satellite sensors and highlighted the potential of passive crowdsensing observations. Additionally, the review emphasized the importance of citizen engagement and the use of scalable models in achieving a climate-neutral Earth.
Article
Biology
Corey T. Callaghan, Alistair G. B. Poore, Thomas Mesaglio, Angela T. Moles, Shinichi Nakagawa, Christopher Roberts, Jodi J. L. Rowley, Adriana VergEs, John H. Wilshire, William K. Cornwell
Summary: Citizen science is playing an increasingly important role in biodiversity research, but is underrepresented in current research papers. Three frontiers of citizen science research are proposed, including sampling undersampled areas, utilizing the unique abilities of citizen science, and reducing biases in global biodiversity data sets. The contribution of citizen science to understanding key biodiversity questions should be fully realized.
Editorial Material
Computer Science, Information Systems
Sultan Kocaman, Sameer Saran, Murat Durmaz, Senthil Kumar
Summary: This article introduces the importance of citizen science and geospatial capacity building, emphasizing their roles and advantages in geospatial data-related work, and points out future research directions, including data quality, ontology studies, development of tools based on machine learning and artificial intelligence, and open science and open data practices.
ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION
(2021)
Article
Environmental Sciences
M. van der Velde, H. Goeau, P. Bonnet, R. d'Andrimont, M. Yordanov, A. Affouard, M. Claverie, B. Czucz, N. Elvekjaer, L. Martinez-Sanchez, X. Rotllan-Puig, A. Sima, A. Verhegghen, A. Joly
Summary: We have developed a new application called Pl@ntNet Crops that can recognize 218 species of cultivated crops on geo-tagged photos. The app utilizes over 750k photos collected by Pl@ntNet users and is enriched by data from the European Union's LUCAS survey. By setting a threshold of >0.5 on the Pl@ntNet prediction probabilities, 70,170 LUCAS photos representing 101 species were added to the app with an accuracy of 0.9.
ENVIRONMENTAL RESEARCH LETTERS
(2023)
Review
Health Care Sciences & Services
Anna H. Noel-Storr, Patrick Redmond, Guillaume Lame, Elisa Liberati, Sarah Kelly, Lucy Miller, Gordon Dooley, Andy Paterson, Jenni Burt
Summary: Crowdsourcing, particularly through platforms like Cochrane Crowd, shows promise in accurately screening citations for systematic reviews, with non-specialists exhibiting high sensitivity and specificity in identifying relevant studies. Customized training and further research are needed to optimize the efficiency and accuracy of this approach.
BMC MEDICAL RESEARCH METHODOLOGY
(2021)
Article
Ecology
Margaret Kosmala, Andrea Wiggins, Alexandra Swanson, Brooke Simmons
FRONTIERS IN ECOLOGY AND THE ENVIRONMENT
(2016)
Article
Biology
Andrea Wiggins, Rick Bonney, Gretchen Lebuhn, Julia K. Parrish, Jake F. Weltzin
Article
Zoology
Julia K. Parrish, Hillary Burgess, Jake F. Weltzin, Lucy Fortson, Andrea Wiggins, Brooke Simmons
INTEGRATIVE AND COMPARATIVE BIOLOGY
(2018)
Article
Ethics
Andrea Wiggins, John Wilbanks
AMERICAN JOURNAL OF BIOETHICS
(2019)
Review
Chemistry, Multidisciplinary
Antonio Correia, Andrea Grover, Daniel Schneider, Ana Paula Pimentel, Ramon Chaves, Marcos Antonio de Almeida, Benjamim Fonseca
Summary: With the increasing prevalence of AI in various fields, the role of crowdsourcing has become crucial for scaling up data-driven algorithms. However, there is a lack of systematic examination of the interaction between crowds and machines. This article proposes an analytical framework for studying crowd-machine interaction, aiming to uncover the enduring aspects of human-centered AI design.
APPLIED SCIENCES-BASEL
(2023)
Article
Economics
Susanne Beck, Carsten Bergenholtz, Marcel Bogers, Tiare-Maria Brasseur, Marie Louise Conradsen, Diletta Di Marco, Andreas P. Distel, Leonhard Dobusch, Daniel Doerler, Agnes Effert, Benedikt Fecher, Despoina Filiou, Lars Frederiksen, Thomas Gillier, Christoph Grimpe, Marc Gruber, Carolin Haeussler, Florian Heigl, Karin Hoisl, Katie Hyslop, Olga Kokshagina, Marcel LaFlamme, Cornelia Lawson, Hila Lifshitz-Assaf, Wolfgang Lukas, Markus Nordberg, Maria Theresa Norn, Marion Poetz, Marisa Ponti, Gernot Pruschak, Laia Pujol Priego, Agnieszka Radziwon, Janet Rafner, Gergana Romanova, Alexander Ruser, Henry Sauermann, Sonali K. Shah, Jacob F. Sherson, Julia Suess-Reyes, Christopher L. Tucci, Philipp Tuertscher, Jane Bjorn Vedel, Theresa Velden, Roberto Verganti, Jonathan Wareham, Andrea Wiggins, Sunny Mosangzi Xu
Summary: Openness and collaboration in scientific research are gaining increasing attention. However, a lack of common understanding due to disciplinary boundaries and disconnected research streams presents a challenge. To address this, a unifying Open Innovation in Science (OIS) Research Framework is proposed, capturing the antecedents, contingencies, and consequences of open and collaborative practices in generating and disseminating scientific insights for innovation. The framework highlights factors at individual, team, organization, field, and societal levels, serving as a basis for future research, policy discussions, and guidance for scientists and practitioners.
INDUSTRY AND INNOVATION
(2022)
Article
Computer Science, Information Systems
Sihem Amer-Yahia, Senjuti Basu Roy, Lei Chen, Atsuyuki Morishima, James Abello Monedero, Pierre Bourhis, Francois Charoy, Marina Danilevsky, Gautam Das, Gianluca Demartini, Abhishek Dubey, Shady Elbassuoni, David Gross-Amblard, Emilie Hoareau, Munenari Inoguchi, Jared Kenworthy, Itaru Kitahara, Dongwon Lee, Yunyao Li, Ria Mae Borromeo, Paolo Papotti, Raghav Rao, Sudeepa Roy, Pierre Senellart, Keishi Tajima, Saravanan Thirumuruganathan, Marion Tommasi, Kazutoshi Umemoto, Andrea Wiggins, Koichiro Yoshida
Proceedings Paper
Computer Science, Cybernetics
Vinod Ahuja, Andrea Wiggins, Shivani Mudhelli
CONFERENCE COMPANION PUBLICATION OF THE 2019 COMPUTER SUPPORTED COOPERATIVE WORK AND SOCIAL COMPUTING (CSCW'19 COMPANION)
(2019)
Proceedings Paper
Computer Science, Software Engineering
Holly Rosser, Andrea Wiggins
COMPANION OF THE 2018 ACM CONFERENCE ON COMPUTER SUPPORTED COOPERATIVE WORK AND SOCIAL COMPUTING (CSCW'18)
(2018)
Article
Biodiversity Conservation
Brian L. Sullivan, Tina Phillips, Ashley A. Dayer, Christopher L. Wood, Andrew Farnsworth, Marshall J. Iliff, Ian J. Davies, Andrea Wiggins, Daniel Fink, Wesley M. Hochachka, Amanda D. Rodewald, Kenneth V. Rosenberg, Rick Bonney, Steve Kelling
BIOLOGICAL CONSERVATION
(2017)
Article
Biodiversity Conservation
Duncan C. McKinley, Abe J. Miller-Rushing, Heidi L. Ballard, Rick Bonney, Hutch Brown, Susan C. Cook-Patton, Daniel M. Evans, Rebecca A. French, Julia K. Parrish, Tina B. Phillips, Sean F. Ryan, Lea A. Shanley, Jennifer L. Shirk, Kristine F. Stepenuck, Jake F. Weltzin, Andrea Wiggins, Owen D. Boyle, Russell D. Briggs, Stuart F. Chapin, David A. Hewitt, Peter W. Preuss, Michael A. Soukup
BIOLOGICAL CONSERVATION
(2017)
Proceedings Paper
Computer Science, Information Systems
Edith Law, Alex C. Williams, Jennifer Shirk, Andrea Wiggins, Jonathan Brier, Jenny Preece, Greg Newman
CSCW'17: COMPANION OF THE 2017 ACM CONFERENCE ON COMPUTER SUPPORTED COOPERATIVE WORK AND SOCIAL COMPUTING
(2017)
Proceedings Paper
Computer Science, Interdisciplinary Applications
Edith Law, Krzysztof Z. Gajos, Andrea Wiggins, Mary L. Gray, Alex Williams
CSCW'17: PROCEEDINGS OF THE 2017 ACM CONFERENCE ON COMPUTER SUPPORTED COOPERATIVE WORK AND SOCIAL COMPUTING
(2017)
Proceedings Paper
Computer Science, Cybernetics
Andrea Wiggins, Yurong He
ACM CONFERENCE ON COMPUTER-SUPPORTED COOPERATIVE WORK AND SOCIAL COMPUTING (CSCW 2016)
(2016)
