R. Mazloom, Hongmin Li, Doina Caragea, Cornelia Caragea, Muhammad Imran
{"title":"A Hybrid Domain Adaptation Approach for Identifying Crisis-Relevant Tweets","authors":"R. Mazloom, Hongmin Li, Doina Caragea, Cornelia Caragea, Muhammad Imran","doi":"10.4018/IJISCRAM.2019070101","DOIUrl":"https://doi.org/10.4018/IJISCRAM.2019070101","url":null,"abstract":"Huge amounts of data generated on social media during emergency situations is regarded as a trove of critical information. The use of supervised machine learning techniques in the early stages of a crisis is challenged by the lack of labeled data for that event. Furthermore, supervised models trained on labeled data from a prior crisis may not produce accurate results, due to inherent crisis variations. To address these challenges, the authors propose a hybrid feature-instance-parameter adaptation approach based on matrix factorization, k-nearest neighbors, and self-training. The proposed feature-instance adaptation selects a subset of the source crisis data that is representative for the target crisis data. The selected labeled source data, together with unlabeled target data, are used to learn self-training domain adaptation classifiers for the target crisis. Experimental results have shown that overall the hybrid domain adaptation classifiers perform better than the supervised classifiers learned from the original source data.","PeriodicalId":188673,"journal":{"name":"Int. J. Inf. Syst. Crisis Response Manag.","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127173906","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Discovering Requirements for the Technology Design to Support Disaster Resilience Analytics","authors":"K. Moore, Hemant Purohit","doi":"10.4018/IJISCRAM.2019070102","DOIUrl":"https://doi.org/10.4018/IJISCRAM.2019070102","url":null,"abstract":"Research on technology-assisted crisis management have been centered on tools to assist the response phase of a disaster. Through a semantic network analysis of concept relations in the titles of the publications, the authors found that many theoretical tools exist for disaster management but have not been operationalized to take a holistic approach toward technology for resilience. There is a lack of emphasis on the design of information and communication technologies, besides geographical information systems, to assist other phases of the crisis management cycle, particularly the preparedness and mitigation phases for resilience. By operationalizing the MOVE framework in a case study, the authors discover factors critical to the design of informatics and visualization tools to support resilience. This study concludes with a conceptual design framework “Digital Crow's Nest” to show feasibility of technology design for disaster resilience analytics using open data sources.","PeriodicalId":188673,"journal":{"name":"Int. J. Inf. Syst. Crisis Response Manag.","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126271156","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
M. Kraaij-Dirkzwager, L. Schol, T. Schuitmaker-Warnaar, A. Timen, J. E. Steenbergen
{"title":"Stakeholder Involvement in Outbreak Management: To Fear or Not to Fear?","authors":"M. Kraaij-Dirkzwager, L. Schol, T. Schuitmaker-Warnaar, A. Timen, J. E. Steenbergen","doi":"10.4018/IJISCRAM.2019070104","DOIUrl":"https://doi.org/10.4018/IJISCRAM.2019070104","url":null,"abstract":"Infectious diseases remain a threat to public health, requiring the coordinated action of many stakeholders. Little has been written about stakeholder participation and approaches to sharing information, in dynamic contexts and under time pressure as is the case for infectious disease outbreaks. Communicable-disease specialists fear that delays in implementing control measures may occur if stakeholders are not included in the outbreak-management process. Two case studies described in this article show how the needs of stakeholders may vary with time and that early sharing of information takes priority over shared decision-making. The stakeholders itemized their needs and potential contributions in order to arrive at the collective interest of outbreak management. For this, the results suggest the potential for improvement through development of “network governance” including the effective sharing of information in large networks with varying needs. Outbreaks in which conflicting perceptions may occur among the stakeholders require particular attention.","PeriodicalId":188673,"journal":{"name":"Int. J. Inf. Syst. Crisis Response Manag.","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114256942","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
M. Granåsen, Mari Olsén, Per-Anders Oskarsson, N. Hallberg
{"title":"Assessing Interorganizational Crisis Management Capability: A Systematic Literature Review","authors":"M. Granåsen, Mari Olsén, Per-Anders Oskarsson, N. Hallberg","doi":"10.4018/IJISCRAM.2019070103","DOIUrl":"https://doi.org/10.4018/IJISCRAM.2019070103","url":null,"abstract":"To strengthen the capability of societies to manage severe events, it is vital to understand what constitutes crisis management capability and how this can be assessed. The objective of this article is to explore how interorganizational crisis management capability has been assessed in the scientific literature. A systematic literature review was performed, resulting in a dataset of 83 publications. A thematic analysis resulted in nine themes of crisis management capability being identified, where interaction was the largest one. Analyses resulted in a comprehensive overview of assessment methods within the themes. The evaluation methods were mainly applied on real cases rather than exercises. The present article contributes with an increased understanding of how crisis management capability is evaluated, as well as applicability and limitations of different methodological approaches. This insight is essential in order to conduct a valid assessment of crisis management capability and design exercises that increase this capability.","PeriodicalId":188673,"journal":{"name":"Int. J. Inf. Syst. Crisis Response Manag.","volume":"88 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126158922","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Stephen Gichuhi Kimotho, Carolyne Nyaboe Nyarang'o
{"title":"Role of Social Media in Terrorism Crisis Communication: A Case of Westgate Mall Terror Attack in Nairobi","authors":"Stephen Gichuhi Kimotho, Carolyne Nyaboe Nyarang'o","doi":"10.4018/IJISCRAM.2019010104","DOIUrl":"https://doi.org/10.4018/IJISCRAM.2019010104","url":null,"abstract":"Terrorism targeting corporate bodies remains one the greatest risks to the most critical intangible asset of any organization: reputation. Thus, effective crisis communication is critical during and after terror crisis to mitigate further damage on the reputation. To date, many studies around the globe have tended to focus on the role of the traditional media during terror crisis, paying minimal attention to organisations' use of social media during terror crisis. Using a descriptive qualitative case study, this study examined the role of social media during 2013 Westgate Mall terror attack, in Nairobi, Kenya. Findings revealed that the Interior Ministry (IM) used Twitter as the preferred social media platform to communicate with various stakeholders. Accommodative crisis response strategies were the most used by the IM. However, the ministry was plagued with inaccuracies and inconsistencies in its responses on social media compromising reputation of the government further. Balancing the need for speedy response, accuracy and consistency, remained the greatest challenge for the IM.","PeriodicalId":188673,"journal":{"name":"Int. J. Inf. Syst. Crisis Response Manag.","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120972540","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Is Ubiquitous Technology for Needs Data Management a Game Changer in Humanitarian Arena?","authors":"Punya Prasad Sapkota, K. Siddiqi","doi":"10.4018/IJISCRAM.2019010105","DOIUrl":"https://doi.org/10.4018/IJISCRAM.2019010105","url":null,"abstract":"One in every 70 people around the world is caught up in a crisis (natural disasters, conflict, climate change, etc.) and urgently needs humanitarian assistance and protection according to the OCHA. The humanitarian community assists millions of people every year based on emerging humanitarian needs. Most of the time, the conditions inside the countries, once the humanitarian needs data is collected, are not very conducive and required simple ways to collect data like paper-based data collection with simple questions. This data is later entered into a database or spreadsheet using rigorous and time-consuming data entry efforts. Dynamic changes in needs of people; numbers of partners involved; the complexity of evolving processes; and emerging technologies over time has led to a change in processes for data collection and management. This article is an attempt to capture humanitarian data collection best practices and the use of different technologies in managing data to facilitate humanitarian needs assessment processes for the Syria crisis.","PeriodicalId":188673,"journal":{"name":"Int. J. Inf. Syst. Crisis Response Manag.","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130306571","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Philipp Hertweck, J. Moßgraber, Efstratios Kontopoulos, Panagiotis Mitzias, T. Hellmund, A. Karakostas, D. Hilbring, H. V. D. Schaaf, S. Vrochidis, Jan-Wilhelm Blume, Y. Kompatsiaris
{"title":"The Backbone of Decision Support Systems: The Sensor to Decision Chain","authors":"Philipp Hertweck, J. Moßgraber, Efstratios Kontopoulos, Panagiotis Mitzias, T. Hellmund, A. Karakostas, D. Hilbring, H. V. D. Schaaf, S. Vrochidis, Jan-Wilhelm Blume, Y. Kompatsiaris","doi":"10.4018/IJISCRAM.2018100104","DOIUrl":"https://doi.org/10.4018/IJISCRAM.2018100104","url":null,"abstract":"Understanding the current situation is critical in every natural disaster or crisis. Therefore, there is a need for accurate and up-to-date information about the scope, extent and impact of a disaster. The basis for this information is data that is available through a variety of sensors. Decision Support Systems (DSSs) support decision makers in disaster management, response, and recovery by providing early warnings, insights into the current situation and recommendations for mitigation actions. For this purpose, raw sensor data needs to be collected, analyzed, integrated, and its semantics need to be automatically understood by the system. This series of processes forms a generic sensor to decision chain. In this paper, we present solutions and technologies to integrate those steps seamlessly, also demonstrating how each step of the pipeline can be visualized.","PeriodicalId":188673,"journal":{"name":"Int. J. Inf. Syst. Crisis Response Manag.","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130559652","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Visualizing Humanitarian Logistics Performance: Design, Application and Evaluation of an IT-supported Balanced Scorecard Approach","authors":"A. Widera, Carsten Bubbich, B. Hellingrath","doi":"10.4018/IJISCRAM.2018100102","DOIUrl":"https://doi.org/10.4018/IJISCRAM.2018100102","url":null,"abstract":"Logistics management is crucial for the effectiveness and efficiency of humanitarian operations. Performance measurement enables practitioners to identify improvement potentials and management capabilities with regards to their logistics management tasks. While many performance measurement approaches for humanitarian logistics exist in the scientific domain, its applicability in the practitioner communities is rather low. Main reasons for this mismatch can be seen in rather few ready-to-use concepts and supporting information systems. In this article, the design, development, and evaluation of an information system for a Balanced Scorecard for humanitarian logistics is presented. The approach is embedded in the design science research framework following the agile programming methodology. The main characteristics of the server client architecture are described and reflected through experiences from formative and summative evaluations. The results stress the importance of the applied design approaches and support the closing of gaps between information systems designers and humanitarian practitioners.","PeriodicalId":188673,"journal":{"name":"Int. J. Inf. Syst. Crisis Response Manag.","volume":"452 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115290436","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
A. Musaev, Pezhman Sheinidashtegol, Elizabeth Conrad, S. Navathe
{"title":"Mining Twitter Data for Landslide Events Reported Worldwide","authors":"A. Musaev, Pezhman Sheinidashtegol, Elizabeth Conrad, S. Navathe","doi":"10.4018/IJISCRAM.2018100103","DOIUrl":"https://doi.org/10.4018/IJISCRAM.2018100103","url":null,"abstract":"The explosion of user generated content in social media published from mobile devices has led to the concept known as “citizen sensing.” Although English has been adopted by many as a de facto standard international language, reports about events, such as disasters, are frequently provided by citizens in their local language in addition to English. Attempting to integrate citizen reports from many languages is a significant challenge. This article describes the tools that address this challenge to enable the support of citizen-sensing of landslide events reported worldwide. Multilingual support is based on the first unified cross-lingual dataset of word vectors for representing texts in multiple languages. The classification model based on the proposed cross-lingual word vectors outperforms the “native” and “translated” approaches based on monolingual word vectors. Furthermore, it does not require the creation of a separate training set in a local language or its translation to English.","PeriodicalId":188673,"journal":{"name":"Int. J. Inf. Syst. Crisis Response Manag.","volume":"140 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121644743","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Hongmin Li, O. Sopova, Doina Caragea, Cornelia Caragea
{"title":"Domain Adaptation for Crisis Data Using Correlation Alignment and Self-Training","authors":"Hongmin Li, O. Sopova, Doina Caragea, Cornelia Caragea","doi":"10.4018/IJISCRAM.2018100101","DOIUrl":"https://doi.org/10.4018/IJISCRAM.2018100101","url":null,"abstract":"Domain adaptation methods have been introduced for auto-filtering disaster tweets to address the issue of lacking labeled data for an emerging disaster. In this article, the authors present and compare two simple, yet effective approaches for the task of classifying disaster-related tweets. The first approach leverages the unlabeled target disaster data to align the source disaster distribution to the target distribution, and, subsequently, learns a supervised classifier from the modified source data. The second approach uses the strategy of self-training to iteratively label the available unlabeled target data, and then builds a classifier as a weighted combination of source and target-specific classifiers. Experimental results using Naïve Bayes as the base classifier show that both approaches generally improve performance as compared to baseline. Overall, the self-training approach gives better results than the alignment-based approach. Furthermore, combining correlation alignment with self-training leads to better result, but the results of self-training are still better.","PeriodicalId":188673,"journal":{"name":"Int. J. Inf. Syst. Crisis Response Manag.","volume":"257 6","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113972168","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}