{"title":"Intelligent Pandemic Surveillance via Privacy-Preserving Crowdsensing.","authors":"Hafiz Asif, Periklis A Papakonstantinou, Stephanie Shiau, Vivek Singh, Jaideep Vaidya","doi":"10.1109/mis.2022.3145691","DOIUrl":"https://doi.org/10.1109/mis.2022.3145691","url":null,"abstract":"<p><p>Intelligently responding to a pandemic like Covid-19 requires sophisticated models over accurate real-time data, which is typically lacking at the start, e.g., due to deficient population testing. In such times, crowdsensing of spatially tagged disease-related symptoms provides an alternative way of acquiring real-time insights about the pandemic. Existing crowdsensing systems aggregate and release data for pre-fixed regions, e.g., counties. However, the insights obtained from such aggregates do not provide useful information about smaller regions - e.g., neighborhoods where outbreaks typically occur - and the aggregate-and-release method is vulnerable to privacy attacks. Therefore, we propose a novel differentially private method to obtain accurate insights from crowdsensed data for any number of regions specified by the users (e.g., researchers and a policy makers) without compromising privacy of the data contributors. Our approach, which has been implemented and deployed, informs the development of the future privacy-preserving intelligent systems for longitudinal and spatial data analytics.</p>","PeriodicalId":13160,"journal":{"name":"IEEE Intelligent Systems","volume":"37 4","pages":"88-96"},"PeriodicalIF":6.4,"publicationDate":"2022-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9718449/pdf/nihms-1837668.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9731179","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
IEEE Intelligent SystemsPub Date : 2018-01-01Epub Date: 2018-05-08DOI: 10.1109/MIS.2018.012001556
Amit Sheth, Utkarshani Jaimini, Hong Yung Yip
{"title":"How Will the Internet of Things Enable Augmented Personalized Health?","authors":"Amit Sheth, Utkarshani Jaimini, Hong Yung Yip","doi":"10.1109/MIS.2018.012001556","DOIUrl":"10.1109/MIS.2018.012001556","url":null,"abstract":"<p><p>The Internet of Things refers to network-enabled technologies, including mobile and wearable devices, which are capable of sensing and actuation as well as interaction and communication with other similar devices over the Internet. The IoT is profoundly redefining the way we create, consume, and share information. Ordinary citizens increasingly use these technologies to track their sleep, food intake, activity, vital signs, and other physiological statuses. This activity is complemented by IoT systems that continuously collect and process environment-related data that has a bearing on human health. This synergy has created an opportunity for a new generation of healthcare solutions.</p>","PeriodicalId":13160,"journal":{"name":"IEEE Intelligent Systems","volume":"33 1","pages":"89-97"},"PeriodicalIF":6.4,"publicationDate":"2018-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5993447/pdf/nihms967711.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"36209832","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Nhathai Phan, Javid Ebrahimi, Dave Kil, Brigitte Piniewski, Dejing Dou
{"title":"Topic-Aware Physical Activity Propagation in a Health Social Network.","authors":"Nhathai Phan, Javid Ebrahimi, Dave Kil, Brigitte Piniewski, Dejing Dou","doi":"10.1109/MIS.2015.92","DOIUrl":"https://doi.org/10.1109/MIS.2015.92","url":null,"abstract":"<p><p>Modeling physical activity propagation, such as physical exercise level and intensity, is the key to preventing the conduct that can lead to obesity; it can also help spread wellness behavior in a social network.</p>","PeriodicalId":13160,"journal":{"name":"IEEE Intelligent Systems","volume":"31 1","pages":"1541-1672"},"PeriodicalIF":6.4,"publicationDate":"2016-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1109/MIS.2015.92","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"34411772","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Opportunities for Operations Research in Medical Decision Making.","authors":"Sait Tunc, Oguzhan Alagoz, Elizabeth Burnside","doi":"","DOIUrl":"","url":null,"abstract":"","PeriodicalId":13160,"journal":{"name":"IEEE Intelligent Systems","volume":"29 3","pages":"59-62"},"PeriodicalIF":6.4,"publicationDate":"2014-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4296668/pdf/nihms613625.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"32983989","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Recent Advances in Computational Epidemiology.","authors":"Madhav Marathe, Naren Ramakrishnan","doi":"10.1109/MIS.2013.114","DOIUrl":"https://doi.org/10.1109/MIS.2013.114","url":null,"abstract":"Public health epidemiology aims to understand the spatiotemporal spread of diseases and to develop methods to control such spread. Computational epidemiology has become increasingly multidisciplinary and has led to novel computational methods for understanding and controlling spatiotemporal disease spread. Recent advances focus specifically on modeling, data mining, and inferential and planning questions.","PeriodicalId":13160,"journal":{"name":"IEEE Intelligent Systems","volume":"28 4","pages":"96-101"},"PeriodicalIF":6.4,"publicationDate":"2013-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1109/MIS.2013.114","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"32906212","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Laura Astolfi, Jlenia Toppi, Fabrizio De Vico Fallani, Giovanni Vecchiato, Febo Cincotti, Christopher T Wilke, Han Yuan, Donatella Mattia, Serenella Salinari, Bin He, Fabio Babiloni
{"title":"Imaging the Social Brain by Simultaneous Hyperscanning During Subject Interaction.","authors":"Laura Astolfi, Jlenia Toppi, Fabrizio De Vico Fallani, Giovanni Vecchiato, Febo Cincotti, Christopher T Wilke, Han Yuan, Donatella Mattia, Serenella Salinari, Bin He, Fabio Babiloni","doi":"10.1109/MIS.2011.61","DOIUrl":"https://doi.org/10.1109/MIS.2011.61","url":null,"abstract":"Advances in neuroelectric recordings and computational tools allow investigation of interactive brain activity and connectivity in a group of subjects engaged in social interactions.","PeriodicalId":13160,"journal":{"name":"IEEE Intelligent Systems","volume":"26 5","pages":"38-45"},"PeriodicalIF":6.4,"publicationDate":"2011-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1109/MIS.2011.61","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"30421549","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Learning Setting-Generalized Activity Models for Smart Spaces.","authors":"Diane J Cook","doi":"10.1109/MIS.2010.112","DOIUrl":"https://doi.org/10.1109/MIS.2010.112","url":null,"abstract":"<p><p>The data mining and pervasive computing technologies found in smart homes offer unprecedented opportunities for providing context-aware services, including health monitoring and assistance to individuals experiencing difficulties living independently at home. In order to provide these services, smart environment algorithms need to recognize and track activities that people normally perform as part of their daily routines. However, activity recognition has typically involved gathering and labeling large amounts of data in each setting to learn a model for activities in that setting. We hypothesize that generalized models can be learned for common activities that span multiple environment settings and resident types. We describe our approach to learning these models and demonstrate the approach using eleven CASAS datasets collected in seven environments.</p>","PeriodicalId":13160,"journal":{"name":"IEEE Intelligent Systems","volume":"2010 99","pages":"1"},"PeriodicalIF":6.4,"publicationDate":"2010-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1109/MIS.2010.112","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"29789963","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"The CKC Challenge: Exploring Tools for Collaborative Knowledge Construction.","authors":"Natalya F Noy, Abhita Chugh, Harith Alani","doi":"10.1109/MIS.2008.14","DOIUrl":"https://doi.org/10.1109/MIS.2008.14","url":null,"abstract":"<p><p>The great success of Web 2.0 is mainly fuelled by an infrastructure that allows web users to create, share, tag, and connect content and knowledge easily. The tools for developing structured knowledge in this manner have started to appear as well. However, there are few, if any, user studies that are aimed at understanding what users expect from such tools, what works and what doesn't. We organized the Collaborative Knowledge Construction (CKC) Challenge to assess the state of the art for the tools that support collaborative processes for creation of various forms of structured knowledge. The goal of the Challenge was to get users to try out different tools and to learn what users expect from such tools-features that users need, features that they like or dislike. The Challenge task was to construct structured knowledge for a portal that would provide information about research. The Challenge design contained several incentives for users to participate. Forty-nine users registered for the Challenge; thirty-three of them participated actively by using the tools. We collected extensive feedback from the users where they discussed their thoughts on all the tools that they tried. In this paper, we present the results of the Challenge, discuss the features that users expect from tools for collaborative knowledge constructions, the features on which Challenge participants disagreed, and the lessons that we learned.</p>","PeriodicalId":13160,"journal":{"name":"IEEE Intelligent Systems","volume":"23 1","pages":"64-68"},"PeriodicalIF":6.4,"publicationDate":"2008-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1109/MIS.2008.14","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"32221917","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}