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Author |
Jennings Anderson; Marina Kogan; Melissa Bica; Leysia Palen; Kenneth Anderson; Rebecca Morss; Julie Demuth; Heather Lazrus; Olga Wilhelmi |
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Title |
Far Far Away in Far Rockaway: Responses to Risks and Impacts during Hurricane Sandy through First-Person Social Media Narratives |
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Conference Article |
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Year |
2016 |
Publication |
ISCRAM 2016 Conference Proceedings ? 13th International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
ISCRAM 2016 |
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Keywords |
Crisis Informatics; Hurricane Sandy; Protective Decision Making; Risk Perception; Social Media; Twitter |
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Abstract |
When Hurricane Sandy swept over the US eastern seaboard in October 2012, it was the most tweeted about event at the time. However, some of the most affected areas were underrepresented in the social media conversation about Sandy. Here, we examine the hurricane-related experiences and behaviors shared on Twitter by residents of Far Rockaway, a New York City neighborhood that is geographically and socioeconomically vulnerable to disasters, which was significantly affected by the storm. By carefully filtering the vast Twitter data, we focus on 41 Far Rockaway residents who offer rich personal accounts of their experience with Sandy. Analyzing their first-person narratives, we see risk perception and protective decision-making behavior in their data. We also find themes of invisibility and neglect when residents expressed feeling abandoned by the media, the city government, and the overall relief efforts in the aftermath of Sandy. |
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Federal University of Rio de Janeiro |
Place of Publication |
Rio de Janeiro, Brasil |
Editor |
A. Tapia; P. Antunes; V.A. Bañuls; K. Moore; J. Porto |
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English |
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English |
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ISSN |
2411-3388 |
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978-84-608-7984-9 |
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Social Media Studies |
Expedition |
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Conference |
13th International Conference on Information Systems for Crisis Response and Management |
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no |
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Call Number |
ISCRAM @ idladmin @ |
Serial |
1388 |
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Author |
Venkata Kishore Neppalli; Murilo Cerqueira Medeiros; Cornelia Caragea; Doina Caragea; Andrea Tapia; Shane Halse |
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Title |
Retweetability Analysis and Prediction during Hurricane Sandy |
Type |
Conference Article |
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Year |
2016 |
Publication |
ISCRAM 2016 Conference Proceedings ? 13th International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
ISCRAM 2016 |
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Keywords |
Twitter; Retweetability Analysis; Retweetability Prediction; Hurricane Sandy; Disaster Events |
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Abstract |
Twitter is a very important source for obtaining information, especially during events such as natural disasters. Users can spread information in Twitter either by crafting new posts, which are called ?tweets,? or by using retweet mechanism to re-post the previously created tweets. During natural disasters, identifying how likely a tweet is to be highly retweeted is very important since it can help promote the spread of good information in a network such as Twitter, as well as it can help stop the spread of misinformation, when corroborated with approaches that identify trustworthy information or misinformation, respectively. In this paper, we present an analysis on retweeted tweets to determine several aspects affecting retweetability. We then extract features from tweets? content and user account information and perform experiments to develop models that automatically predict the retweetability of a tweet in the context of the Hurricane Sandy. |
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Publisher |
Federal University of Rio de Janeiro |
Place of Publication |
Rio de Janeiro, Brasil |
Editor |
A. Tapia; P. Antunes; V.A. Bañuls; K. Moore; J. Porto |
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English |
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English |
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ISSN |
2411-3388 |
ISBN |
978-84-608-7984-9 |
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Track |
Social Media Studies |
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Conference |
13th International Conference on Information Systems for Crisis Response and Management |
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no |
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Call Number |
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Serial |
1389 |
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Author |
Apoorva Chauhan; Amanda Lee Hughes |
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Title |
Online Mentioning Behavior during Hurricane Sandy: References, Recommendations, and Rebroadcasts |
Type |
Conference Article |
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Year |
2016 |
Publication |
ISCRAM 2016 Conference Proceedings ? 13th International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
ISCRAM 2016 |
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Keywords |
Crisis Informatics; Social Media; Emergency Management |
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Abstract |
Large-scale crisis events require coordination between the many responding stakeholders to provide timely, relevant, and accurate information to the affected public. In this paper, we examine how social media can support these coordinated public information efforts. This research considers how emergency responders mentioned different organizations, institutions, and individuals by examining the social media communications of police and fire departments during Hurricane Sandy. We find that these departments use mentions to reference other sources of information, recommend credible information and sources, and rebroadcast information. These mentions offer insight into how emergency responders fit within a broader crisis information network and the types of entities that responders trust and recommend to provide information to the public. |
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Publisher |
Federal University of Rio de Janeiro |
Place of Publication |
Rio de Janeiro, Brasil |
Editor |
A. Tapia; P. Antunes; V.A. Bañuls; K. Moore; J. Porto |
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English |
Summary Language |
English |
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ISSN |
2411-3388 |
ISBN |
978-84-608-7984-9 |
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Track |
Social Media Studies |
Expedition |
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Conference |
13th International Conference on Information Systems for Crisis Response and Management |
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Approved |
no |
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Call Number |
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Serial |
1390 |
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Author |
Elodie Fichet; John Robinson; Dharma Dailey; Kate Starbird |
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Title |
Eyes on the Ground: Emerging Practices in Periscope Use during Crisis Events |
Type |
Conference Article |
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Year |
2016 |
Publication |
ISCRAM 2016 Conference Proceedings ? 13th International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
ISCRAM 2016 |
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Keywords |
Social Media; Periscope; Twitter; Crisis Informatics; Emergency Management |
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Abstract |
This empirical analysis examines the use of the live-streaming application Periscope in three crises that occurred in 2015. Qualitative analyses of tweets relating to the Amtrak derailment in Philadelphia, Baltimore protests after Freddie Grey?s death, and Hurricane Joaquin flooding in South Carolina reveal that this recently deployed application is being used by both citizens and journalists for information sharing, crisis coverage and commentary. The accessibility and immediacy of live video directly from crisis situations, and the embedded chats which overlay on top of a video feed, extend the possibilities of real-time interaction between remote crowds and those on the ground in a crisis. These empirical findings suggest several potential challenges and opportunities for responders. |
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Publisher |
Federal University of Rio de Janeiro |
Place of Publication |
Rio de Janeiro, Brasil |
Editor |
A. Tapia; P. Antunes; V.A. Bañuls; K. Moore; J. Porto |
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English |
Summary Language |
English |
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ISSN |
2411-3388 |
ISBN |
978-84-608-7984-9 |
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Track |
Social Media Studies |
Expedition |
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Conference |
13th International Conference on Information Systems for Crisis Response and Management |
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Notes |
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Approved |
no |
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Call Number |
ISCRAM @ idladmin @ |
Serial |
1391 |
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Author |
Yuhong Li; Christopher Zobel |
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Title |
Small Businesses and Social Media Usage in the 2013 Colorado Floods |
Type |
Conference Article |
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Year |
2016 |
Publication |
ISCRAM 2016 Conference Proceedings ? 13th International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
ISCRAM 2016 |
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Keywords |
Social Media; Small Business; Recovery; Disaster |
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Abstract |
The recovery of small businesses from a disaster is critical to community recovery. Such businesses can be extremely vulnerable to disasters, particularly because they often occupy a single location and have a localized customer base. Although social media is an effective platform for information dissemination, and has been extensively used in a disaster context, the way in which small businesses use social media in this context, and the effectiveness of those efforts, are still not well understood. With this in mind, this paper uses the 2013 floods along the Front Range in Colorado as a case study to help improve our understanding of how small businesses use social media in disaster situations. Characterizing the organizations' behavior involves using both qualitative and quantitative approaches, and the paper focuses on an initial qualitative analysis. |
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Publisher |
Federal University of Rio de Janeiro |
Place of Publication |
Rio de Janeiro, Brasil |
Editor |
A. Tapia; P. Antunes; V.A. Bañuls; K. Moore; J. Porto |
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English |
Summary Language |
English |
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2411-3388 |
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978-84-608-7984-9 |
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Track |
Social Media Studies |
Expedition |
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Conference |
13th International Conference on Information Systems for Crisis Response and Management |
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Notes |
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Approved |
no |
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Call Number |
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Serial |
1392 |
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Author |
Pragna Debnath; Saniul Haque; Somprakash Bandyopadhyay; Siuli Roy |
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Title |
Post-disaster Situational Analysis from WhatsApp Group Chats of Emergency Response Providers |
Type |
Conference Article |
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Year |
2016 |
Publication |
ISCRAM 2016 Conference Proceedings ? 13th International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
ISCRAM 2016 |
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Abstract |
Use of social media has established itself as one of the important information carriers in the field of disaster management. However, use of Twitter and Facebook by victims, first responders and others generates information that is varied, unstructured and unreliable. On the other hand, NGOs, operating in the disaster area, are often involved in intra-organizational communication using messaging apps like WhatsApp, and their group interactions can help in gathering meaningful data for situational analysis and need assessment. Our focus is to automate the process of filtering relevant information, query-based clustering of pertinent information from a WhatsApp group conversation of a specific volunteer group, so that situation analysis and need assessment can be done more rapidly. We have evaluated our scheme using WhatsApp chat log of a medical volunteer group in two post-disaster scenarios and concluded that it can provide valuable insights about region-specific resource requirements and allocation for effective decision making. |
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Publisher |
Federal University of Rio de Janeiro |
Place of Publication |
Rio de Janeiro, Brasil |
Editor |
A. Tapia; P. Antunes; V.A. Bañuls; K. Moore; J. Porto |
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English |
Summary Language |
English |
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ISSN |
2411-3388 |
ISBN |
978-84-608-7984-9 |
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Track |
Social Media Studies |
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Conference |
13th International Conference on Information Systems for Crisis Response and Management |
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Notes |
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Approved |
no |
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Call Number |
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Serial |
1393 |
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Author |
Antonin Segault; Federico Tajariol; Yang Ishigaki; Ioan Roxin |
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Title |
#geiger 2: Developing Guidelines for Radiation Measurements Sharing on Social Media |
Type |
Conference Article |
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Year |
2016 |
Publication |
ISCRAM 2016 Conference Proceedings ? 13th International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
ISCRAM 2016 |
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Keywords |
Twitter; Nuclear Post-Accident; Radiation; Robots; Syntax |
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Abstract |
Radiation measurements are key information in post-nuclear accident situations. Automated Twitter accounts have been used to share the readings, but often in an incomplete way from the perspective of data sharing and risk communication between citizen and radiation experts. In this paper, we investigate the requirements for radiation measurements completeness, by analyzing the perceived usefulness of several metadata items that may go along the measurement itself. We carried out a benchmark of existing uses, and conducted a survey with both experts and lay citizens. We thus produced a set of guidelines regarding the metadata that should be used, and the way to publish it. |
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Publisher |
Federal University of Rio de Janeiro |
Place of Publication |
Rio de Janeiro, Brasil |
Editor |
A. Tapia; P. Antunes; V.A. Bañuls; K. Moore; J. Porto |
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English |
Summary Language |
English |
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ISSN |
2411-3388 |
ISBN |
978-84-608-7984-9 |
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Track |
Social Media Studies |
Expedition |
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Conference |
13th International Conference on Information Systems for Crisis Response and Management |
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Notes |
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Approved |
no |
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Call Number |
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Serial |
1394 |
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Author |
Shannon Daly; James A. Thom |
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Title |
Mining and Classifying Image Posts on Social Media to Analyse Fires |
Type |
Conference Article |
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Year |
2016 |
Publication |
ISCRAM 2016 Conference Proceedings ? 13th International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
ISCRAM 2016 |
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Keywords |
Flickr; Image Analytics; Geotags; Geocoding |
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Abstract |
We propose a methodology to study the occurrence of fires through image posts on Flickr; crowd-sourcing information from a noisy social media dataset can estimate the presence of fires. We collect several years worth of photos and associated metadata using fire-related search terms. We use an image classification model to detect geotagged photos that are further analysed to determine if a fire event did occur at a particular time and place. Furthermore, a case study investigates image features and spatio-temporal elements in the metadata, as well as location information contained in camera EXIF data. |
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Publisher |
Federal University of Rio de Janeiro |
Place of Publication |
Rio de Janeiro, Brasil |
Editor |
A. Tapia; P. Antunes; V.A. Bañuls; K. Moore; J. Porto |
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Language |
English |
Summary Language |
English |
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ISSN |
2411-3388 |
ISBN |
978-84-608-7984-9 |
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Track |
Social Media Studies |
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Conference |
13th International Conference on Information Systems for Crisis Response and Management |
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Notes |
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Approved |
no |
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Call Number |
ISCRAM @ idladmin @ |
Serial |
1395 |
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Author |
Muhammad Imran; Prasenjit Mitra; Jaideep Srivastava |
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Title |
Cross-Language Domain Adaptation for Classifying Crisis-Related Short Messages |
Type |
Conference Article |
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Year |
2016 |
Publication |
ISCRAM 2016 Conference Proceedings ? 13th International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
ISCRAM 2016 |
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Keywords |
Social Media; Tweets Classification; Domain Adaptation |
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Abstract |
Rapid crisis response requires real-time analysis of messages. After a disaster happens, volunteers attempt to classify tweets to determine needs, e.g., supplies, infrastructure damage, etc. Given labeled data, supervised machine learning can help classify these messages. Scarcity of labeled data causes poor performance in machine training. Can we reuse old tweets to train classifiers? How can we choose labeled tweets for training? Specifically, we study the usefulness of labeled data of past events. Do labeled tweets in different language help? We observe the performance of our classifiers trained using different combinations of training sets obtained from past disasters. We perform extensive experimentation on real crisis datasets and show that the past labels are useful when both source and target events are of the same type (e.g. both earthquakes). For similar languages (e.g., Italian and Spanish), cross-language domain adaptation was useful, however, when for different languages (e.g., Italian and English), the performance decreased. |
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Publisher |
Federal University of Rio de Janeiro |
Place of Publication |
Rio de Janeiro, Brasil |
Editor |
A. Tapia; P. Antunes; V.A. Bañuls; K. Moore; J. Porto |
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Language |
English |
Summary Language |
English |
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ISSN |
2411-3388 |
ISBN |
978-84-608-7984-9 |
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Track |
Social Media Studies |
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Conference |
13th International Conference on Information Systems for Crisis Response and Management |
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Notes |
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Approved |
no |
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Call Number |
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Serial |
1396 |
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Author |
Cornelia Caragea; Adrian Silvescu; Andrea Tapia |
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Title |
Identifying Informative Messages in Disasters using Convolutional Neural Networks |
Type |
Conference Article |
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Year |
2016 |
Publication |
ISCRAM 2016 Conference Proceedings ? 13th International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
ISCRAM 2016 |
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Keywords |
Informative Tweets Classification; Disaster Events; Convolutional Neural Networks |
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Abstract |
Social media is a vital source of information during any major event, especially natural disasters. Data produced through social networking sites is seen as ubiquitous, rapid and accessible, and it is believed to empower average citizens to become more situationally aware during disasters and coordinate to help themselves. However, with the exponential increase in the volume of social media data, so comes the increase in data that are irrelevant to a disaster, thus, diminishing peoples? ability to find the information that they need in order to organize relief efforts, find help, and potentially save lives. In this paper, we present an approach to identifying informative messages in social media streams during disaster events. Our approach is based on Convolutional Neural Networks and shows significant improvement in performance over models that use the ?bag of words? and n-grams as features on several datasets of messages from flooding events. |
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Publisher |
Federal University of Rio de Janeiro |
Place of Publication |
Rio de Janeiro, Brasil |
Editor |
A. Tapia; P. Antunes; V.A. Bañuls; K. Moore; J. Porto |
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Language |
English |
Summary Language |
English |
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ISSN |
2411-3388 |
ISBN |
978-84-608-7984-9 |
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Track |
Social Media Studies |
Expedition |
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Conference |
13th International Conference on Information Systems for Crisis Response and Management |
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Notes |
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Approved |
no |
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Call Number |
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Serial |
1397 |
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Author |
Emma Potter |
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Title |
Balancing conflicting operational and communications priorities: social media use in an emergency management organization |
Type |
Conference Article |
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Year |
2016 |
Publication |
ISCRAM 2016 Conference Proceedings ? 13th International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
ISCRAM 2016 |
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Keywords |
Emergency Management; Social Media; Internal Communication; Disasters; Ethnography |
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Abstract |
Social media are now widely used by affected members of the public during an emergency. As these platforms have become mainstream, governments have responded to the public?s expectation that information is available online, particularly during disasters. Emergency management organizations (EMOs) now widely use social media to communicate with the public alongside occasional intelligence gathering. While EMOs increasingly use social media, breakdowns in internal communication can inhibit the dissemination of timely information to their online followers. Drawing on a two-year ethnography at the Queensland Fire and Emergency Services (QFES), an Australian EMO, this paper outlines how the organization uses social media to disseminate information during emergencies and identifies the internal tensions around its use. These tensions include the prioritization of operational duties over public information responsibilities, and the difficulties around requesting and receiving information from operational personnel located on the ground. |
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Publisher |
Federal University of Rio de Janeiro |
Place of Publication |
Rio de Janeiro, Brasil |
Editor |
A. Tapia; P. Antunes; V.A. Bañuls; K. Moore; J. Porto |
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Language |
English |
Summary Language |
English |
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ISSN |
2411-3388 |
ISBN |
978-84-608-7984-9 |
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Track |
Social Media Studies |
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Conference |
13th International Conference on Information Systems for Crisis Response and Management |
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Approved |
no |
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Call Number |
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Serial |
1398 |
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Author |
Louis Ngamassi; Thiagarajan Ramakrishnan; Shahedur Rahman |
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Title |
Examining the Role of Social Media in Disaster Management from an Attribution Theory Perspective |
Type |
Conference Article |
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Year |
2016 |
Publication |
ISCRAM 2016 Conference Proceedings ? 13th International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
ISCRAM 2016 |
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Keywords |
Attribution Theory; Social Media; Disaster Management; Disaster Management Phases |
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Abstract |
This paper is related to the use of social media for disaster management by humanitarian organizations. The past decade has seen a significant increase in the use of social media to manage humanitarian disasters. It seems, however, that it has still not been used to its full potential. In this paper, we examine the use of social media in disaster management through the lens of Attribution Theory. Attribution Theory posits that people look for the causes of events, especially unexpected and negative events. The two major characteristics of disasters are that they are unexpected and have negative outcomes/impacts. Thus, Attribution Theory may be a good fit for explaining social media adoption patterns by emergency managers. We propose a model, based on Attribution Theory, which is designed to understand the use of social media during the mitigation and preparedness phases of disaster management. We also discuss the theoretical contributions and some practical implications. This study is still in its nascent stage and is research in progress. |
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Publisher |
Federal University of Rio de Janeiro |
Place of Publication |
Rio de Janeiro, Brasil |
Editor |
A. Tapia; P. Antunes; V.A. Bañuls; K. Moore; J. Porto |
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Language |
English |
Summary Language |
English |
Original Title |
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Series Editor |
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Series Title |
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Abbreviated Series Title |
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Series Volume |
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Series Issue |
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Edition |
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ISSN |
2411-3388 |
ISBN |
978-84-608-7984-9 |
Medium |
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Track |
Social Media Studies |
Expedition |
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Conference |
13th International Conference on Information Systems for Crisis Response and Management |
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Notes |
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Approved |
no |
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Call Number |
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Serial |
1399 |
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Author |
Briony Jennifer Gray |
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Title |
Social Media and Disasters: A New Conceptual Framework |
Type |
Conference Article |
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Year |
2016 |
Publication |
ISCRAM 2016 Conference Proceedings ? 13th International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
ISCRAM 2016 |
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Volume |
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Issue |
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Pages |
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Keywords |
Social Media; Conceptual Framework; Disaster Management; Web Accessibility; Information Reliability |
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Abstract |
Conceptual frameworks which seek to integrate social media uses into disaster management strategies are employed in a range of events. With continued variations to social media practices, developments in technology, and changes in online behaviors, it is imperative to provide conceptual frameworks which are relevant, current and insightful. This paper conceptualizes a range of recent literature through an inductive methodology, and presents the themes of Web accessibility and online information reliability as broad and emerging considerations for the identification of social media uses during disasters. It presents a new conceptual framework of current social media uses which may be used to supplement existing frameworks. The framework has been applied to a dataset of Tweets from the 2015 Nepal earthquake to demonstrate its validity. Suggestions for future applications are discussed. |
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Corporate Author |
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Thesis |
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Publisher |
Federal University of Rio de Janeiro |
Place of Publication |
Rio de Janeiro, Brasil |
Editor |
A. Tapia; P. Antunes; V.A. Bañuls; K. Moore; J. Porto |
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Language |
English |
Summary Language |
English |
Original Title |
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Series Editor |
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Series Title |
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Abbreviated Series Title |
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Series Volume |
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Edition |
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ISSN |
2411-3388 |
ISBN |
978-84-608-7984-9 |
Medium |
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Track |
Social Media Studies |
Expedition |
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Conference |
13th International Conference on Information Systems for Crisis Response and Management |
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Notes |
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Approved |
no |
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Call Number |
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Serial |
1400 |
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Author |
Daniel Link; Bernd Hellingrath; Jie Ling |
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Title |
A Human-is-the-Loop Approach for Semi-Automated Content Moderation |
Type |
Conference Article |
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Year |
2016 |
Publication |
ISCRAM 2016 Conference Proceedings ? 13th International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
ISCRAM 2016 |
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Volume |
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Issue |
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Pages |
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Keywords |
Disaster Management; Social Media Analysis; Human-Is-The-Loop; Content Moderation; Supervised Machine Learning |
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Abstract |
Online social media has been recognized as a valuable information source for disaster management whose volume, velocity and variety exceed manual processing capacity. Current machine learning systems that support the processing of such data generally follow a human-in-the-loop approach, which has several inherent limitations. This work applies the human-is-the-loop concept from visual analytics to semi-automate a manual content moderation workflow, wherein human moderators take the dominant role. The workflow is instantiated with a supervised machine learning system that supports moderators with suggestions regarding the relevance and categorization of content. The instantiated workflow has been evaluated using in-depth interviews with practitioners and serious games. which suggest that it offers good compatibility with work practices in humanitarian assessment as well as improved moderation quality and higher flexibility than common approaches. |
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Corporate Author |
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Thesis |
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Publisher |
Federal University of Rio de Janeiro |
Place of Publication |
Rio de Janeiro, Brasil |
Editor |
A. Tapia; P. Antunes; V.A. Bañuls; K. Moore; J. Porto |
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Language |
English |
Summary Language |
English |
Original Title |
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Series Editor |
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Series Title |
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Abbreviated Series Title |
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Series Volume |
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Series Issue |
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Edition |
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ISSN |
2411-3388 |
ISBN |
978-84-608-7984-9 |
Medium |
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Track |
Social Media Studies |
Expedition |
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Conference |
13th International Conference on Information Systems for Crisis Response and Management |
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Notes |
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Approved |
no |
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Call Number |
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Serial |
1401 |
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Author |
Jidi Zhao; Linlin Wang |
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Title |
Research on Public Opinion Propagation in Micro-Blogging Based on Epidemic Models |
Type |
Conference Article |
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Year |
2016 |
Publication |
ISCRAM 2016 Conference Proceedings ? 13th International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
ISCRAM 2016 |
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Volume |
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Issue |
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Pages |
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Keywords |
Mb-RP Model; Micro-Blogging; Public Opinion; Propagation Rules |
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Abstract |
Micro-blogging has become an important communication channel for public opinion topics with its own characteristics such as openness, timeliness and interactive and so on. Studying the propagation rules for public opinion topics in micro-blogging is important to monitor and understand Micro-blogging public opinion. In this paper, we study the spreading process of public opinion in micro-blogging, identify key elements in the process and propose an Mb-RP (Micro-blogging Read-Post) propagation model based on the traditional SIR (Susceptible- Infective-Recovered) epidemic model. Through statistical analysis of a case on Sina Weibo, we assign values to parameters in the model and conduct simulations. Simulation results show that the model established in this paper can well fit real data. Further study of the model indicates that, compared with the attention cycle and the average amount of readings per post, the forwarding rate has the most influence on Micro-blogging information propagation. |
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Corporate Author |
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Thesis |
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Publisher |
Federal University of Rio de Janeiro |
Place of Publication |
Rio de Janeiro, Brasil |
Editor |
A. Tapia; P. Antunes; V.A. Bañuls; K. Moore; J. Porto |
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Language |
English |
Summary Language |
English |
Original Title |
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Series Editor |
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Series Title |
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Abbreviated Series Title |
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Series Volume |
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Series Issue |
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Edition |
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ISSN |
2411-3388 |
ISBN |
978-84-608-7984-9 |
Medium |
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Track |
Social Media Studies |
Expedition |
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Conference |
13th International Conference on Information Systems for Crisis Response and Management |
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Notes |
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Approved |
no |
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Call Number |
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Serial |
1402 |
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Author |
Shane Errol Halse; Andrea Tapia; Anna Squicciarini; Cornelia Caragea |
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Title |
Tweet Factors Influencing Trust and Usefulness During Both Man-Made and Natural Disasters |
Type |
Conference Article |
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Year |
2016 |
Publication |
ISCRAM 2016 Conference Proceedings ? 13th International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
ISCRAM 2016 |
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Keywords |
Twitter; Sandy; Hurricane; Boston Bombing; Trust; Usefulness |
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Abstract |
To this date, research on crisis informatics has focused on the detection of trust in Twitter data through the use of message structure, sentiment, propagation and author. Little research has examined the usefulness of these messages in the crisis response domain. Toward detecting useful messages in case of crisis, in this paper, we characterize tweets, which are perceived useful or trustworthy, and determine their main features. Our analysis is carried out on two datasets (one natural and one man made) gathered from Twitter concerning hurricane Sandy in 2012 and the Boston Bombing 2013. The results indicate that there is a high correlation and similar factors (support for the victims, informational data, use of humor and type of emotion used) influencing trustworthiness and usefulness for both disaster types. This could have impacts on how messages from social media data are analyzed for use in crisis response. |
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Corporate Author |
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Thesis |
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Publisher |
Federal University of Rio de Janeiro |
Place of Publication |
Rio de Janeiro, Brasil |
Editor |
A. Tapia; P. Antunes; V.A. Bañuls; K. Moore; J. Porto |
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Language |
English |
Summary Language |
English |
Original Title |
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Series Editor |
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Series Title |
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Abbreviated Series Title |
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Series Volume |
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Series Issue |
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Edition |
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ISSN |
2411-3388 |
ISBN |
978-84-608-7984-9 |
Medium |
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Track |
Social Media Studies |
Expedition |
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Conference |
13th International Conference on Information Systems for Crisis Response and Management |
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Notes |
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Approved |
no |
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Call Number |
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Serial |
1403 |
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Author |
Andrea H. Tapia; Pedro Antunes; Victor A. Bañuls; Kathleen Moore; João Porto de Albuquerque |
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Title |
13th ISCRAM Conference Proceedings Introduction |
Type |
Conference Volume |
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Year |
2016 |
Publication |
ISCRAM 2016 Conference Proceedings � 13th International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
ISCRAM 2016 |
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Volume |
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Issue |
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Pages |
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Keywords |
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Abstract |
The theme of ISCRAM 2016 is Resilience. Resilience has become a popular topic in emergency response and crisis management. This edition will highlight the exploration of the various facets of resilience when applied to Crisis and Emergency Management. The purpose of ISCRAM 2016 is to stimulate discussions that enable the design of resilient systems in the domain of crisis management. |
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Corporate Author |
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Thesis |
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Publisher |
Federal University of Rio de Janeiro |
Place of Publication |
Rio de Janeiro, Brasil |
Editor |
A. Tapia; P. Antunes; V.A. Bañuls; K. Moore; J. Porto |
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Language |
English |
Summary Language |
English |
Original Title |
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Series Editor |
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Series Title |
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Abbreviated Series Title |
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Series Volume |
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Series Issue |
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Edition |
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ISSN |
2411-3388 |
ISBN |
978-84-608-7984-9 |
Medium |
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Track |
Proceeding |
Expedition |
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Conference |
13th International Conference on Information Systems for Crisis Response and Management |
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Notes |
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Approved |
no |
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Call Number |
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Serial |
1436 |
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Author |
Josiane Rodrigues Eugênio; Lutiane Queiroz de Almeida; Vinnícius Vale Dionízio França |
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Title |
Disaster risk indicators in Brazil: a case study in Rio Grande do Norte State |
Type |
Conference Article |
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Year |
2016 |
Publication |
ISCRAM 2016 Conference Proceedings ? 13th International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
ISCRAM 2016 |
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Volume |
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Issue |
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Pages |
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Keywords |
Guides; Instructions; Length; Conference Publications |
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Abstract |
The following paper provides a tool to help evaluate, visualize and communicate different levels of exposure, vulnerability and risk at a regional level in BrazilKeywords. The indices show that social vulnerability is a determining factor for high disaster risk values. |
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Corporate Author |
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Thesis |
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Publisher |
Federal University of Rio de Janeiro |
Place of Publication |
Rio de Janeiro, Brasil |
Editor |
A. Tapia; P. Antunes; V.A. Bañuls; K. Moore; J. Porto |
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Language |
English |
Summary Language |
English |
Original Title |
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Series Editor |
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Series Title |
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Abbreviated Series Title |
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Series Volume |
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Edition |
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ISSN |
2411-3388 |
ISBN |
978-84-608-7984-9 |
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Track |
Poster Session |
Expedition |
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Conference |
13th International Conference on Information Systems for Crisis Response and Management |
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Notes |
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Approved |
no |
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Call Number |
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Serial |
1419 |
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Author |
Avi Parush; Adva Springer; Ruth Livkind; Shani Laendler; Tal Solomon; Alex Nicola; Ksenia Kaganer |
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Title |
Simulator and Game-based Multi-level Training of Cognitive Skills and EMS Teamwork in Multi-casualty Incident Management |
Type |
Conference Article |
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Year |
2016 |
Publication |
ISCRAM 2016 Conference Proceedings ? 13th International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
ISCRAM 2016 |
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Abstract |
This paper introduces a simulator to train cognitive skills and teamwork of EMS teams engaged in a multi-casualty incident. It focuses on the multi-level EMS management of the incident: the collaborative training of the onsite paramedics and offsite dispatch operators in a flexible manner. The simulator?s configuration consists of two primary modules: 1. The multi-casualty incident site module, consisting of a fully interactive 3D serious game for a single trainee playing the role of the onsite paramedic in charge of managing the EMS; and 2. The EMS dispatch center module for two trainees, one playing the dispatch supervisor and the other playing a dispatch operator. This module includes also a situation display to facilitate situational awareness skills, predictive thinking, natural decision making, and team transactive memory systems. |
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Corporate Author |
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Thesis |
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Publisher |
Federal University of Rio de Janeiro |
Place of Publication |
Rio de Janeiro, Brasil |
Editor |
A. Tapia; P. Antunes; V.A. Bañuls; K. Moore; J. Porto |
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Language |
English |
Summary Language |
English |
Original Title |
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Series Editor |
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Abbreviated Series Title |
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Series Volume |
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Edition |
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ISSN |
2411-3388 |
ISBN |
978-84-608-7984-9 |
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Track |
Poster Session |
Expedition |
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Conference |
13th International Conference on Information Systems for Crisis Response and Management |
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Notes |
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Approved |
no |
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Call Number |
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Serial |
1420 |
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Author |
Jane Ciambele S. da Silva; Alyson Matheus C. Souza; Ademir Bezerra Silva Júnior; Ricardo Matos de Carvalho; Pitágoras José Bindé; Liam Bannon; Paulo Victor Carvalho |
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Title |
A community ergonomics framework for the development of early warning systems |
Type |
Conference Article |
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Year |
2016 |
Publication |
ISCRAM 2016 Conference Proceedings ? 13th International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
ISCRAM 2016 |
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Volume |
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Issue |
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Pages |
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Abstract |
The heavy rains that hit Natal city, Brazil, on June 14th, 2014, during the 2014 FIFA World Cup, caused an intense landslide in Mãe Luíza neighborhood, that resulted in a huge crater, affecting the life of 187 families, and 26 of them had their homes completely destroyed. It made explicit the weakness and unpreparedness of government and nongovernmental organizations and community to deal with crisis management. This paper highlights the relevance of a situated and participatory design framework for the development of an ICT solution for an early warning system for disaster situations to be used by members of communities and agents through low cost mobile devices. Community Ergonomics method was used to understand the community demands, to model the current early warning system, and finally to propose a new framework to develop and test a new early warning app for disaster risk and orientation during evacuation. It is expected that it will actually help to improve the global resilience of the city in face of the risks and disasters. |
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Thesis |
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Publisher |
Federal University of Rio de Janeiro |
Place of Publication |
Rio de Janeiro, Brasil |
Editor |
A. Tapia; P. Antunes; V.A. Bañuls; K. Moore; J. Porto |
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Language |
English |
Summary Language |
English |
Original Title |
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Series Editor |
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Abbreviated Series Title |
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Series Volume |
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Edition |
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ISSN |
2411-3388 |
ISBN |
978-84-608-7984-9 |
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Track |
Poster Session |
Expedition |
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Conference |
13th International Conference on Information Systems for Crisis Response and Management |
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Notes |
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Approved |
no |
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Call Number |
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Serial |
1421 |
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Author |
Boni Su; Hong Huang; Zhiqiang Wang; Nan Zhang; Wei Zhu; Xinfeng Wei |
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Title |
Urban pluvial flood risk assessment based on scenario simulation |
Type |
Conference Article |
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Year |
2016 |
Publication |
ISCRAM 2016 Conference Proceedings ? 13th International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
ISCRAM 2016 |
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Abstract |
In this study, urban pluvial flood risk is studied in an actual study area using scenario simulation method based on hydrodynamics. Real weather data and GIS (Geographic Information System) data are adopted to make the results reliable. A region in Haidian District of Beijing is selected as the study area. All the rainfall scenarios (about 200 scenarios) during an 8-year period (from January 1, 2008 to December 31, 2015) are obtained from hourly precipitation data. These rainfall scenarios are used as input for numerical simulations. Spatial-temporal distributions of water depth are obtained through numerical simulation base on SWEs (Shallow-Water Equations). GPU computing technique is applied to increase simulation speed greatly. Influence of rainfall parameters on flood water depth is analyzed. The results show that water depth becomes higher if rainfall duration and average rainfall intensity increase. Moreover, situation of water depth is not only related to overall parameters like rainfall duration or rainfall intensity, but also related to other details of rainfall. Water depth exceedance probability curves of every location and every building are obtained, and different characteristics of the curves are discussed. Finally, the effect of water depth exceedance probability curves of buildings on designing building foundation height is shown. This study is helpful to the risk assessments of urban pluvial flood. |
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Thesis |
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Publisher |
Federal University of Rio de Janeiro |
Place of Publication |
Rio de Janeiro, Brasil |
Editor |
A. Tapia; P. Antunes; V.A. Bañuls; K. Moore; J. Porto |
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Language |
English |
Summary Language |
English |
Original Title |
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Abbreviated Series Title |
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ISSN |
2411-3388 |
ISBN |
978-84-608-7984-9 |
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Track |
Poster Session |
Expedition |
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Conference |
13th International Conference on Information Systems for Crisis Response and Management |
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Notes |
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Approved |
no |
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Call Number |
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Serial |
1422 |
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Author |
Xia Wu; Yi Xiong |
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Title |
Computer-based scheme-making system of emergency maintenance for failure of oil and gas pipeline |
Type |
Conference Article |
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Year |
2016 |
Publication |
ISCRAM 2016 Conference Proceedings ? 13th International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
ISCRAM 2016 |
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Abstract |
Accident of oil and gas pipeline may result in enormous economic loss, great casualties and severe environmental pollution (Assael and Kakosimos, 2010). In the field of pipeline accident emergency, the Decision Support System (DSS) has been proposed to reduce the loss of an accident (Dey, 2001; Agbenowosi, 2000; Nataraj, 2005). However, their researches are mostly about risk management (Dey, 2001), materials scheduling (Agbenowosi, 2000), theory (Nataraj, 2005) and process of response, which are served for the decision-makers. In fact, though one of the most important steps of emergency response for accident of oil and gas pipeline is maintenance implemented, there is no enough attention paid on the maintenance scheme-making. |
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Thesis |
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Publisher |
Federal University of Rio de Janeiro |
Place of Publication |
Rio de Janeiro, Brasil |
Editor |
A. Tapia; P. Antunes; V.A. Bañuls; K. Moore; J. Porto |
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Language |
English |
Summary Language |
English |
Original Title |
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Series Editor |
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Abbreviated Series Title |
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ISSN |
2411-3388 |
ISBN |
978-84-608-7984-9 |
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Track |
Poster Session |
Expedition |
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Conference |
13th International Conference on Information Systems for Crisis Response and Management |
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Notes |
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Approved |
no |
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Call Number |
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Serial |
1423 |
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Author |
Christophe Viavattene; Simon McCarthy; Michelle Ferri; Martina Monego; Maurizio Mazzoleni |
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Title |
Evaluation of emergency protocols using agent-based approach |
Type |
Conference Article |
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Year |
2016 |
Publication |
ISCRAM 2016 Conference Proceedings ? 13th International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
ISCRAM 2016 |
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Pages |
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Keywords |
Disaster Operations Management; Response Resource Allocation Planning; Emergency Protocol; Agent-Based Modelling |
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Abstract |
Integrated flood risk management involves a large portfolio of options for mitigating risks that includes hard and soft structural, non-structural, and recovery responses. Non-structural responses include flood warnings, emergency services supported by individuals, collective actions and the use of resistance and resilience measures. Sufficient flood warning time, appropriate actions at desired locations and time are essential for effective and beneficial responses. From this perspective beside the management of the crisis itself, the level of preparedness including the evaluation of plans involving such responses (e.g. emergency protocols) also needs to be sufficient and, thus in the context of various event scenarios. |
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Publisher |
Federal University of Rio de Janeiro |
Place of Publication |
Rio de Janeiro, Brasil |
Editor |
A. Tapia; P. Antunes; V.A. Bañuls; K. Moore; J. Porto |
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Language |
English |
Summary Language |
English |
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Abbreviated Series Title |
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Edition |
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ISSN |
2411-3388 |
ISBN |
978-84-608-7984-9 |
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Track |
Poster Session |
Expedition |
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Conference |
13th International Conference on Information Systems for Crisis Response and Management |
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Notes |
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Approved |
no |
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Call Number |
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Serial |
1424 |
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Author |
Tommi Juhani Tapanainen; Olivier Lisein |
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Title |
IT manager leadership during crisis situations: Lessons from real-life crisis management in IT functions during natural disasters |
Type |
Conference Article |
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Year |
2016 |
Publication |
ISCRAM 2016 Conference Proceedings ? 13th International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
ISCRAM 2016 |
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Volume |
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Pages |
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Keywords |
Information Systems Managers; Crisis Management; Leadership; Natural Disasters |
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Abstract |
Natural disasters are destructive events, but can also give opportunities for learning in crisis management for organizational information technology (IT) functions. In their role as stewards of company data and IT, it is important that IT managers participate in crisis management activities. However, the role of IT managers in crisis management is not well understood, particularly in crisis response. An understanding on how IT managers lead during crisis situations, not only on how they prepare for these events, can help in devising recommendations and training that improves IT manager crisis response. |
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Publisher |
Federal University of Rio de Janeiro |
Place of Publication |
Rio de Janeiro, Brasil |
Editor |
A. Tapia; P. Antunes; V.A. Bañuls; K. Moore; J. Porto |
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Language |
English |
Summary Language |
English |
Original Title |
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Edition |
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ISSN |
2411-3388 |
ISBN |
978-84-608-7984-9 |
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Track |
Poster Session |
Expedition |
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Conference |
13th International Conference on Information Systems for Crisis Response and Management |
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Notes |
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Approved |
no |
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Call Number |
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Serial |
1425 |
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Author |
Suvodeep Mazumdar; Neil Ireson; Fabio Ciravegna |
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Title |
Decision Graphs: Managing Decisions for Emergencies |
Type |
Conference Article |
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Year |
2016 |
Publication |
ISCRAM 2016 Conference Proceedings ? 13th International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
ISCRAM 2016 |
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Abstract |
Emergencies are highly complex situations that require careful consideration of information collected from a variety of sources, by a variety of individuals and agencies. Good situation awareness provides the basis for a highly effective decision-making process requiring large volumes of real time information. Processing this is a highly complex task, and the dynamic nature of emergencies introduces further challenges. Over the years, several initiatives have attempted to address this complexity by proposing a variety of solutions that have contributed to a growing field of research. While progress toward decision-making support has been significant, the process of managing decisions has received less attention. To learn from decisions, there needs to be a process of collecting, curating and analyzing decision-making itself. Information being collected via a large number of resources needs to be formalized and interpreted by the decision maker, who in turn combines the information collected with their own knowledge and experience to make critical, and often life-saving decisions. Many of the decisions need to be taken instantaneously, while some need careful consultation and consideration, in collaboration with experts only once good situation awareness is achieved. This process of taking decisions based on evidence and personal experience is often lost, mostly due to lack of appropriate archiving mechanisms (e.g. not digitizing paper-based decisions or recording informal decisions). Therefore post-event analysis and auditing activities can lose track of how decisions were made, their associated evidences and rationale. Recording decisions in real-time, as they are taken, can provide a step change in the way decision support systems can aid future events or post-event analyses. We address this aspect of decision support by proposing a real-time decision capture and monitoring approach, Decision Graphs. At the core of Decision Graphs resides a decision management framework, employing semantic web techniques to organise decisions, as and when they are taken. While Semantic Web approaches have been employed in the past in Decision-Making for Emergency Response, management of decisions using Semantic Technologies has been largely limited. Lightweight decision loggers are deployed in a variety of ways ? mobile applications available for all types of mobile devices, web browser-based plugins, and a dedicated web site. The decision loggers capture decisions and all related evidence and rationale from the decision maker, and make them available to the decision management framework. Following an event, a decision maker can then retrieve all decisions via a web-based solution. In this poster, we first present requirements gathered from interviews with a variety of stakeholders. We then address this need and propose a decision management framework that employs a variety of pervasive lightweight decision loggers and semantic web technologies for enriching and organizing decisions. Finally, we present our visualisation mechanisms to help look up events and decisions, during follow-up post event analyses activities. |
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Corporate Author |
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Publisher |
Federal University of Rio de Janeiro |
Place of Publication |
Rio de Janeiro, Brasil |
Editor |
A. Tapia; P. Antunes; V.A. Bañuls; K. Moore; J. Porto |
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Language |
English |
Summary Language |
English |
Original Title |
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Series Editor |
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Series Title |
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Abbreviated Series Title |
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Series Volume |
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Series Issue |
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Edition |
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ISSN |
2411-3388 |
ISBN |
978-84-608-7984-9 |
Medium |
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Track |
Poster Session |
Expedition |
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Conference |
13th International Conference on Information Systems for Crisis Response and Management |
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Notes |
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Approved |
no |
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Call Number |
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Serial |
1426 |
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