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Federated Learning in the Lens of Crowdsourcing

Yongxin Tong, Yansheng Wang, Dingyuan Shi
2020 IEEE Data Engineering Bulletin  
In this article, we highlight the core issues in federated learning in the lens of crowdsourcing, including privacy and security, incentive mechanism, communication optimization and quality control.  ...  We expect to inspire the design of federated learning systems with existing crowdsourcing techniques.  ...  In this paper, we propose to understand federated learning from the lens of crowdsourcing.  ... 
dblp:journals/debu/TongWS20 fatcat:6f474mtflfhuffshqltimek5zm

Public Comment on Draft NOAA Citizen Science Strategy

Lea Shanley, Pietro Michelucci, Krystal S. Tsosie, George Wyeth, Julia Kumari Drapkin, Krystal Azelton, Darlene Cavalier, Jason Holmberg
2021 Human Computation  
EDITORIAL The U.S. National Oceanic and Atmospheric Administration (NOAA) published a draft citizen science strategy in the fall of 2020 and invited public comments through the Federal Register.  ...  This guest editorial briefly describes a history of activities related to encouraging the U.S. federal government to use and support citizen science, and presents the recent public comments that we submitted  ...  The workshop also resulted in the formal establishment of the Federal Community of Practice for Crowdsourcing and Citizen Science (FedCCS) in January 2014.  ... 
doi:10.15346/hc.v8i1.130 dblp:journals/hc/ShanleyMTWDACH21 fatcat:wouazbg6f5h6xoqhtypyx22apq

Crowdsourcing On-street Parking Space Detection [article]

Ruizhi Liao, Cristian Roman, Peter Ball, Shumao Ou, Liping Chen
2016 arXiv   pre-print
As the number of vehicles continues to grow, parking spaces are at a premium in city streets.  ...  In the wake of recent trend to build convenient, green and energy-efficient smart cities, we rethink common techniques adopted by high-profile smart parking systems, and present a user-engaged (crowdsourcing  ...  In our test, we repeatedly circled the two streets to emulate the crowdsourcing approach. The algorithm takes the drive-test trace as inputs and scans the data in sequence.  ... 
arXiv:1603.00441v1 fatcat:5c6kulc23nemzloosejsrrlioi

It Takes a Village: Using a Crowdsourced Approach to Investigate Organic Matter Composition in Global Rivers Through the Lens of Ecological Theory

Mikayla A. Borton, Sarah M. Collins, Emily B. Graham, Vanessa A. Garayburu-Caruso, Amy E. Goldman, Michaela de Melo, Lupita Renteria, James C. Stegen, WHONDRS Crowdsourced Consortium
2022 Frontiers in Water  
We leverage community-generated data from the Worldwide Hydrobiogeochemistry Observation Network for Dynamic River Systems (WHONDRS) consortium to study organic matter composition through the lens of ecological  ...  The use of a shared dataset across articles not only lowers barriers for broad participation by not requiring generation of new data, but also provides unique opportunities for emergent learning by connecting  ...  This requirement was needed to remain in compliance with federal law, but inherently decreased inclusiveness of the sampling campaign.  ... 
doi:10.3389/frwa.2022.870453 doaj:19babe07bd044a9d8316ae0f84017aa4 fatcat:k4whcqu5wbgfdky7e65esgi6o4

The effect of crowdsourcing on organizational learning: Evidence from local governments

Regina Lenart-Gansiniec
2021 Government Information Quarterly  
A B S T R A C T Modern local governments must learn in order to deal effectively with the growing pressures of a rapidly changing environment.  ...  Based on organizational learning perspective, this study develops a multi-level model of learning from crowdsourcing and a joint relationship between crowdsourcing and organizational learning in local  ...  Acknowledgments The author would like to kindly thank the Editors and Reviewers of the paper for their comments and help in the review process.  ... 
doi:10.1016/j.giq.2021.101593 fatcat:rv2kpje67fhdjbxvznzifntxbi

Introduction to Internal Crowdsourcing: Theoretical Foundations and Practical Applications [chapter]

Hannah Ulbrich, Marco Wedel, Hans-Liudger Dienel
2020 Business Rule-Oriented Conceptual Modeling  
AbstractThe research landscape in the area of forecasting and assessing working conditions has become increasingly difficult to understand.  ...  Ultimately, for the majority of the population and the (welfare) state, work remains the necessary prerequisite for financially securing their livelihoods.  ...  Acknowledgements The goal of this book is to advance the state of Internal Crowdsourcing theory and its application knowledge.  ... 
doi:10.1007/978-3-030-52881-2_1 fatcat:ipk3u3ol6jdajdxc67whp5ljga

The Challenges of Challenge.Gov: Adopting Private Sector Business Innovations in the Federal Government

Ines Mergel, Stuart I. Bretschneider, Claudia Louis, Jason Smith
2014 2014 47th Hawaii International Conference on System Sciences  
As part of the Open Government Initiative in the U.S. federal government, the White House has introduced a new policy instrument called "Challenges and Prizes", implemented as that allows  ...  Here we first define the underlying theoretical concepts of OI, crowdsourcing and contests and apply them to the existing theory of publicness and the creation of public goods.  ...  The objective of these efforts is to enhance the "innovativeness" of the federal government in an effort to enhance performance.  ... 
doi:10.1109/hicss.2014.262 dblp:conf/hicss/MergelBLS14 fatcat:gytzrvxvyjfwrpy34r2pnkc42u

Human Computations in Citizen Crowds: A Knowledge Management Solution Framework

Nadeem Kafi, Zubair Ahmed Shaikh Shaikh, Muhammad Shahid Shaikh
2018 Mehran University Research Journal of Engineering and Technology  
of that knowledge in academic settings.  ...  In this paper, we present an attempt to create a framework by implementing a simple solution, called ExamCheck, to focus on the generation of knowledge, feedback on that knowledge and recording the results  ...  Muhammad Nauman Durrani, for participating in various discussions on different aspect of this paper, and students for their help while prototyping the web application.  ... 
doi:10.22581/muet1982.1803.06 fatcat:25w52kkwrreevpycbxvyqtmmgi

Approaching healthcare delivery through a new lens: a crowdsourcing challenge to identify health-related social innovations to increase universal health coverage in Nigeria

Obinna Ikechukwu Ekwunife, Chinyere Ukamaka Onubogu, Ogechukwu Benedicta Aribodor, Kingsley Chike Anigbogu, Uchenna Chukwunonso Ogwaluonye, Chinyelu Angela Ekwunife, Chinyere Stella Okunna, Obioma Nwaorgu
2022 BMJ Innovations  
The crowdsourcing challenge was hosted by SIHI Nigeria, based at the Nnamdi Azikiwe University, Awka, Nigeria.ResultSeventeen innovations were received in the crowdsourcing challenge.  ...  The six-stage process of the crowdsourcing challenge contest included: (1) selection of challenge focus, (2) organising community steering group, (3) engaging the community to contribute, (4) receiving  ...  Finally, we wish to acknowledge the expert panellists who reviewed the innovations and Anambra State Ministry of Health for facilitating some of our activities during the crowdsourcing challenge.  ... 
doi:10.1136/bmjinnov-2021-000869 fatcat:w3ahv4gu2jhm5bw2oi3n5oakk4

Intelligence and Information Gathering Through Deliberative Crowdsourcing

Benjamin Y. Clark, Nicholas Zingale, Joseph Logan
2017 Journal of Public and Nonprofit Affairs  
This article examines how the wisdom of the crowds can be used in a deliberative manner to extract new knowledge through crowdsourcing.  ...  We will specifically examine cases of intelligence and information gathering through the analysis of a suspected nuclear reactor in Syria and the use of the crowd in mapping unknown or rapidly changing  ...  Disclosure Statement The authors declare that there are no conflicts of interest that relate to the research, authorship, or publication of this article.  ... 
doi:10.20899/jpna.3.1.55-78 fatcat:332ldzjzdfdqbiw4cvr262dniy

Introduction to Media Literacy History

Sarah Evelyn
2014 Journal of Media Literacy Education  
in others, and drive investigation into understanding the relationships of the facets and fundamentals of media literacy from past to present and into the future.  ...  Beyond forging connections of the past to the present, exploring the history of the field can deepen intellectual curiosity and understanding for those who work in media literacy education, ignite interest  ...  Focusing on the work of Len Masterman, this paper explores the development and the application of the core concepts of media literacy in Canada, Britain, and in the United States.  ... 
doi:10.23860/jmle-2016-06-02-1 fatcat:bc77hbqaojeazmxl6vrxd5ajg4

Design Principles and a Conceptual Framework for Crowd Teamwork Systems

Haoyu Xie, Alessandro Checco, Efpraxia D. Zamani
2021 Pacific Asia Conference on Information Systems  
Workers in crowdsourcing platforms suffer from poor working conditions, including low hourly income and difficulty in communicating with job requesters.  ...  Following the Design Science Research Methodology (DSRM), this study aims to develop the design principles and a conceptual framework for the information systems that allow microtask workers to collaborate  ...  However, about 96% of workers on MTurk earn below the U.S. federal minimum wage (Hara et al. 2018) .  ... 
dblp:conf/pacis/XieCZ21 fatcat:n65jb46gf5appaykub5g5vlzkq

Q&A. How Do Digital Platforms for Ideas, Technologies, and Knowledge Transfer Act as Enablers for Digital Transformation?

Mokter Hossain, Astrid Lassen
2017 Technology Innovation Management Review  
ISPIM ( -the International Society for Professional Innovation Management -is a network of researchers, industrialists, consultants, and public bodies who share an interest in innovation  ...  Acknowledgements This Q&A was developed from a paper presented at the ISPIM Innovation Conference in Vienna, Austria, June 18-21, 2017.  ...  It is important to explore digital platforms from the lens of digital transformation.  ... 
doi:10.22215/timreview/1106 fatcat:almmysalebcg7co3xgv6m7iagq

TWEET-FID: An Annotated Dataset for Multiple Foodborne Illness Detection Tasks [article]

Ruofan Hu, Dongyu Zhang, Dandan Tao, Thomas Hartvigsen, Hao Feng, Elke Rundensteiner
2022 arXiv   pre-print
A comprehensive set of results for these tasks leveraging state-of-the-art single- and multi-task deep learning methods on the TWEET-FID dataset are provided.  ...  To accelerate the development of machine learning-based models for foodborne outbreak detection, we thus present TWEET-FID (TWEET-Foodborne Illness Detection), the first publicly available annotated dataset  ...  We thank Mengrui Luo for her assistance in implementing the crowdsourcing interface for this study. References Devlin, J., Chang, M.-W., Lee, K., and Toutanova, K. (2018).  ... 
arXiv:2205.10726v2 fatcat:kemyrw4xmvamvi4tcdonztvvbi

epiDAMIK 5.0

Bijaya Adhikari, Amulya Yadav, Sen Pei, Ajitesh Srivastava, Sarah Kefayati, Alexander Rodríguez, Marie-Laure Charpignon, Anil Vullikanti, B. Aditya Prakash
2022 Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining  
We aim to promote and raise the profile of the emerging research area of data-driven and computational epidemiology, and create a venue for presenting stateof-the-art and in-progress results-in particular  ...  Our target audience consists of data mining and machine learning researchers from both academia and industry who are interested in epidemiological and public-health applications of their work, and practitioners  ...  In general, these lead to interesting and useful discussions, which in our case are specifically important in bringing the fields of data science, machine learning and epidemiology together.  ... 
doi:10.1145/3534678.3542917 fatcat:2j4xt2n765fujanxpq42qq6xv4
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