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A Model for Aggregating Contributions of Synergistic Crowdsourcing Workflows

Yili Fang, Hailong Sun, Richong Zhang, Jinpeng Huai, Yongyi Mao
2014 PROCEEDINGS OF THE THIRTIETH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE AND THE TWENTY-EIGHTH INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE  
the best workflow without integrating the contributions of all workflows, which potentially results in extra costs for more iterations.  ...  However, for complex crowdsourcing tasks that consists of a certain number of subtasks under some specific constraints, but cannot be split into subtasks to be crowdsourced, the approach merely considers  ...  Conclusions In this paper, we propose a novel assembly model to aggregate contributions of synergistic crowdsourcing workflows, and leverage POMDP method to control the quality of iterated workflows.  ... 
doi:10.1609/aaai.v28i1.9091 fatcat:a7ruhtqkhff33mbcafwkgdad4y

Dynamically Switching between Synergistic Workflows for Crowdsourcing

Christopher Lin, Mausam Mausam, Daniel Weld
2021 PROCEEDINGS OF THE THIRTIETH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE AND THE TWENTY-EIGHTH INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE  
We show that alternative workflows can compose synergistically to yield much higher quality output. We formalize the insight with a novel probabilistic graphical model.  ...  Surprisingly, this seemingly natural design paradigm does not achieve the full potential of crowdsourcing. In particular, using a single workflow (even the best) to accomplish a task is suboptimal.  ...  We thank Trey Smith for making ZMDP available and Jacob Whitehill for making the software for GLAD available.  ... 
doi:10.1609/aaai.v26i1.8121 fatcat:nmq5lcwaabhvblntuyolchogua

Harnessing the Heart of Big Data

Sarah B. Scruggs, Karol Watson, Andrew I. Su, Henning Hermjakob, John R. Yates, Merry L. Lindsey, Peipei Ping
2015 Circulation Research  
Acknowledgments We thank Dr Ding Wang at UCLA for help in preparing the figures and Dr Edward Lau at UCLA for his critical input on the content.  ...  Sources of Funding This work was supported in part by the National Institutes of Health U54 GM114833 (to Dr Ping, Dr Watson, Dr Lindsey, Dr Su, H.  ...  Moreover the workflow is intuitive and generalizable; it is user-friendly, yet powerful enough for a broad range of biomedical applications.  ... 
doi:10.1161/circresaha.115.306013 pmid:25814682 pmcid:PMC4721634 fatcat:levyt7lpqvgxrpt6nccvcqqoiq

Extending the Boundaries of Cancer Therapeutic Complexity with Literature Data Mining [article]

Danna Niezni, Hillel Taub-Tabib, Yuval Harris, Hagit Sason-Bauer, Yakir Amrusi, Dana Azagury, Maytal Avrashami, Shaked Launer-Wachs, Jon Borchardt, M Kusold, Aryeh Tiktinsky, Tom Hope (+2 others)
2022 bioRxiv   pre-print
To conclude, we propose a new tool and workflow to handle the vast complexity space of combinatorial cancer treatment facilitate further evaluation of HCCT in experimental cancer research.  ...  In this paper, we develop a path to extend the boundaries of complexity in combinatorial cancer treatments using text data mining (TDM).  ...  Good et al. demonstrated crowdsourcing usage for prognosis modeling case 20 .  ... 
doi:10.1101/2022.05.03.490286 fatcat:slxff5guwvdphehd6musqo262a

Knowledge Management and Problem Solving in Real Time: The Role of Swarm Intelligence

Chris W Callaghan
2016 Interdisciplinary Journal of Information, Knowledge, and Management  
and to offer a model of real-time problem solving based on a synthesis of the literature.  ...  This synthesis seeks to offer useful insights into the research process, by offering a perspective of what maximized collaboration, as a system, implies for real-time problem solving.  ...  and autonomy-related payoffs for contributors to choose the nature of their contribution to crowdsourced contributions (Malone et al., 2011 ).  ... 
doi:10.28945/3528 fatcat:q2ymtymjnfdrlhptfcx54ja2ci

Collaborative crowdsourcing with crowd4U

Kosetsu Ikeda, Atsuyuki Morishima, Habibur Rahman, Senjuti Basu Roy, Saravanan Thirumuruganathan, Sihem Amer-Yahia, Gautam Das
2016 Proceedings of the VLDB Endowment  
While crowdsourcing has been used successfully in many applications, collaboration is essential for achieving a high quality outcome for a number of emerging applications such as text translation, citizen  ...  We demonstrate Crowd4U, a volunteer-based system that enables the deployment of diverse crowdsourcing tasks with complex data-flows, in a declarative manner.  ...  The work of Habibur Rahman and Gautam Das was partially supported by National Science Foundation under grant 1344152, Army Research Office under grant W911NF-15-1-0020 and a grant from Microsoft Research  ... 
doi:10.14778/3007263.3007293 fatcat:ohgoa4gsh5hdzgp44njui22cka

Collective hybrid intelligence: towards a conceptual framework

Morteza Moradi, Mohammad Moradi, Farhad Bayat, Adel Nadjaran Toosi
2019 International Journal of Crowd Science  
Findings The paper describes the conceptual architecture, workflow and schematic representation of a new hybrid computing concept.  ...  Instead, to compensate for the weakness of machines in some (mostly cognitive) tasks, the idea of putting human in the loop has been introduced and widely accepted.  ...  Specifically, some mechanisms are required for distributed task management, result aggregation, integration and validation. The general workflow of such a system can be described as follows.  ... 
doi:10.1108/ijcs-03-2019-0012 fatcat:jhj7uy6zbjf2njvlujwc5nv7ge

POMDP-based control of workflows for crowdsourcing

Peng Dai, Christopher H. Lin, Mausam, Daniel S. Weld
2013 Artificial Intelligence  
between alternate workflows for a task.  ...  In this paper we show the value of decision-theoretic techniques for the problem of optimizing workflows used in crowdsourcing.  ...  Conversations with Lydian Chilton and Greg Little informed our thoughts on crowdsourcing.  ... 
doi:10.1016/j.artint.2013.06.002 fatcat:3h22yubrl5blzcbbfidjrvy44y

A community computational challenge to predict the activity of pairs of compounds

Mukesh Bansal, Jichen Yang, Charles Karan, Michael P Menden, James C Costello, Hao Tang, Guanghua Xiao, Yajuan Li, Jeffrey Allen, Rui Zhong, Beibei Chen, Minsoo Kim (+12 others)
2014 Nature Biotechnology  
Thus, there is a need for new methods to predict compound synergy from molecular profiles of single compound activity, as well as for assays designed to objectively and systematically evaluate the accuracy  ...  The goal of combination therapy is thus to attain a synergistic or at least an additive yet complementary effect. Most approaches to identify synergistic compound pairs are still exploratory 13, 14 .  ...  This provides a practical approach to implement multimethod integration as a crowdsourcing activity.  ... 
doi:10.1038/nbt.3052 pmid:25419740 pmcid:PMC4399794 fatcat:p4kika55dvd2djb3hqzmwq6hr4

Crowdsourcing biomedical research: leveraging communities as innovation engines

Julio Saez-Rodriguez, James C. Costello, Stephen H. Friend, Michael R. Kellen, Lara Mangravite, Pablo Meyer, Thea Norman, Gustavo Stolovitzky
2016 Nature reviews genetics  
Crowdsourcing the analysis of complex and massive data has emerged as a framework to find robust methodologies.  ...  The generation of large-scale biomedical data is creating unprecedented opportunities for basic and translational science.  ...  Aghaeepour Zach for information on the crowdsourcing efforts they organized.  ... 
doi:10.1038/nrg.2016.69 pmid:27418159 pmcid:PMC5918684 fatcat:tap77ocblrbydl3fc6connsnwi

Human Computation and Convergence [article]

Pietro Michelucci
2015 arXiv   pre-print
These new, collective systems will exhibit an unprecedented degree of predictive accuracy in modeling physical and techno-social processes, and may ultimately coalesce into a single unified predictive  ...  synergistically into increasingly integrated and complex information processing systems.  ...  The affordances of such runaway complexity are difficult to anticipate, but it is conceivable that such a system will become increasingly aware, intelligent, and influential.  ... 
arXiv:1503.05959v2 fatcat:tkczofp5snbbdnkozgns7jtupm

Synergistic Sharing of Data and Tools to Enable Team Science [article]

Ross Mounce, Daniel Janies
2014 Zenodo  
In conclusion, we make suggestions for progress in synergistic sharing to enable team science  ...  Our goals are to compare and contrast examples of workflow efforts in the context of team science that have been heavily funded by governments (i.e. infectious disease genomics) with efforts that have  ...  FIGURE 18.1Diagram of the interactions of the users, applications, data, services, and computing resources put together to enable a workflow for genetic surveillance of infectious diseases.  ... 
doi:10.5281/zenodo.5886794 fatcat:2hyxeie5tfezjgehb5gdxkrw74

Citizens AND HYdrology (CANDHY): conceptualizing a transdisciplinary framework for citizen science addressing hydrological challenges

Fernando Nardi, Christophe Cudennec, Tommaso Abrate, Candice Allouch, Antonio Annis, Thaine Herman Assumpção, Alice H. Aubert, Dominique Berod, Alessio Maria Braccini, Wouter Buytaert, Antara Dasgupta, David M. Hannah (+10 others)
2020 Hydrological Sciences Journal  
Our goal is to conceptualize a transdisciplinary framework for valuing citizen science and advancing the hydrological sciences.  ...  Moreover, general conceptual frameworks are unavailable, preventing the widespread uptake of citizen science approaches for more participatory cross-sectorial water governance.  ...  To become a CANDHY friend -a member of the working group -and stay up to date, please visit the webpage https://iahs.info/Commissions-W-Groups/Working-Groups/Candhy.do  ... 
doi:10.1080/02626667.2020.1849707 fatcat:tlju5y5yybglrgq6nko2rt75om

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  
It is preceded by an editorial account of efforts to build broad U.S. federal government support for citizen science.  ...  Below we include a verbatim copy of our response to this invitation, submitted on September 8, 2020.  ...  We respectfully suggest the following edits, in addition to the comments above: 1 With respect to objective "d", citizen science, crowdsourcing, and related approaches may contribute to a wide range of  ... 
doi:10.15346/hc.v8i1.130 dblp:journals/hc/ShanleyMTWDACH21 fatcat:wouazbg6f5h6xoqhtypyx22apq

Understanding Human-Machine Networks: A Cross-Disciplinary Survey [article]

Milena Tsvetkova, Taha Yasseri, Eric T. Meyer, J. Brian Pickering, Vegard Engen, Paul Walland, Marika Lüders, Asbjørn Følstad, and George Bravos
2017 arXiv   pre-print
We systematically select literature on each of these types and review it with a focus on implications for designing HMNs.  ...  Such human-machine networks (HMNs) are embedded in the daily lives of people, both for personal and professional use. They can have a significant impact by producing synergy and innovations.  ...  For instance, Murray-Rust et al. [2014] present models and techniques for coordination of human workers in crowdsourced software development environments.  ... 
arXiv:1511.05324v2 fatcat:ixawl5uo4rd5tbewgcpz3as4pm
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