ExSciTecH: Expanding volunteer computing to Explore Science, Technology, and Health

Michael Matheny, S. Schlachter, L. M. Crouse, E. T. Kimmel, Trilce Estrada, Marcel Schumann, R. Armen, G. Zoppetti, M. Taufer
{"title":"ExSciTecH: Expanding volunteer computing to Explore Science, Technology, and Health","authors":"Michael Matheny, S. Schlachter, L. M. Crouse, E. T. Kimmel, Trilce Estrada, Marcel Schumann, R. Armen, G. Zoppetti, M. Taufer","doi":"10.1109/eScience.2012.6404451","DOIUrl":null,"url":null,"abstract":"This paper presents ExSciTecH, an NSF-funded project deploying volunteer computing (VC) systems to Explore Science, Tecenology, and Health. ExSciTecH aims at radically transforming VC systems and the volunteer's experience. To pursue this goal, ExSciTecH integrates and uses gameplay environments into BOINC, a well-known VC middleware, to involve the volunteers not only for simply donating idle cycles but also for actively participating in scientific discovery, i.e., generating new simulations side by side with the scientists. More specifically, ExSciTecH plugs into the BOINC framework extending it with two main gaming components, i.e., a learning component that includes a suite of games for training users on relevant biochemical concepts, and an engaging component that includes a suite of games to engage volunteers in drug design and scientific discovery. We assessed the impact of a first implementation of the learning game on a group of students at the University of Delaware. Our tests clearly show how ExSciTecH can generate higher levels of enthusiasm than more traditional learning tools in our students.","PeriodicalId":6364,"journal":{"name":"2012 IEEE 8th International Conference on E-Science","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2012-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 IEEE 8th International Conference on E-Science","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/eScience.2012.6404451","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3

Abstract

This paper presents ExSciTecH, an NSF-funded project deploying volunteer computing (VC) systems to Explore Science, Tecenology, and Health. ExSciTecH aims at radically transforming VC systems and the volunteer's experience. To pursue this goal, ExSciTecH integrates and uses gameplay environments into BOINC, a well-known VC middleware, to involve the volunteers not only for simply donating idle cycles but also for actively participating in scientific discovery, i.e., generating new simulations side by side with the scientists. More specifically, ExSciTecH plugs into the BOINC framework extending it with two main gaming components, i.e., a learning component that includes a suite of games for training users on relevant biochemical concepts, and an engaging component that includes a suite of games to engage volunteers in drug design and scientific discovery. We assessed the impact of a first implementation of the learning game on a group of students at the University of Delaware. Our tests clearly show how ExSciTecH can generate higher levels of enthusiasm than more traditional learning tools in our students.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
ExSciTecH:扩大志愿者计算探索科学、技术和健康
本文介绍了ExSciTecH,一个由美国国家科学基金会资助的项目,部署志愿计算(VC)系统来探索科学、技术和健康。ExSciTecH旨在从根本上改变VC系统和志愿者的体验。为了实现这一目标,ExSciTecH将游戏环境整合并使用到著名的VC中间件BOINC中,让志愿者不仅可以简单地捐赠空闲周期,还可以积极参与科学发现,即与科学家一起生成新的模拟。更具体地说,ExSciTecH插入BOINC框架,通过两个主要的游戏组件扩展它,即,一个学习组件,包括一套游戏,用于培训用户相关的生化概念,以及一个吸引组件,包括一套游戏,参与药物设计和科学发现的志愿者。我们在特拉华大学的一组学生中评估了第一次实施学习游戏的影响。我们的测试清楚地表明,与传统的学习工具相比,ExSciTecH可以在学生中产生更高水平的热情。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Scientific Workflow Interchanging through Patterns: Reversals and Lessons Learned Shape Analysis Using the Spectral Graph Wavelet Transform Provenance analysis: Towards quality provenance Fast confidential search for bio-medical data using Bloom filters and Homomorphic Cryptography Calibration of watershed models using cloud computing
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1