Lauren Bateman, & Erica Gralla. (2018). Evaluating Strategies for Intra-Organizational Information Management in Humanitarian Response. In Kees Boersma, & Brian Tomaszeski (Eds.), ISCRAM 2018 Conference Proceedings – 15th International Conference on Information Systems for Crisis Response and Management (pp. 145–157). Rochester, NY (USA): Rochester Institute of Technology.
Abstract: Information management is critical in humanitarian response, yet intra-organizational information management practices have not been well-studied. This paper evaluates several strategies for intra-organizational information management. An agent-based model represents the dynamics of information-gathering and -sharing, in order to examine the impact of each strategy on (1) the time required to acquire adequate information for decision-making and (2) the amount of excess information acquired in the process. The results show that holding regular information-sharing meetings significantly reduces the time to acquire adequate information, but does not reduce information overload; however, deploying an information management specialist reduces both time required and information overload. The results support recommendations for humanitarian organizations deciding how to improve their internal information management approaches.
|
|
Marc van den Homberg, Jannis Visser, & Maarten van der Veen. (2017). Unpacking Data Preparedness from a humanitarian prioritization perspective: towards an assessment framework at subnational level (eds Aurélie Montarnal Matthieu Lauras Chihab Hanachi F. B. Tina Comes, Ed.). Albi, France: Iscram.
Abstract: All too often the collection as well as analysis of data for humanitarian response only starts once a disaster hits. This paper proposes a framework to assess Data Preparedness on five dimensions: Data Sets, Data Services and Tooling, Data Governance, Data Literacy, and Networked Organizations for Data. We demonstrate for one dimension, i.e. Data Sets, how it can be quantified. First step is to determine which Data Sets must be collected before a disaster strikes so that as many as possible decision-makers' information needs are covered. Subsequently, a Data Sets Preparedness Index can be calculated based on Completeness, Recency and Accuracy & Reliability. We tested the index for Malawi and The Philippines and show how it can be used to direct data collection and determine when data analysis for e.g. predicting severity becomes meaningful. The index can be modified for reporting on global policies such as the Sustainable Development Goals.
|
|
Aladdin Shamoug, Stephen Cranefield, & Grant Dick. (2018). Information Retrieval for Humanitarian Crises via a Semantically Classified Word Embedding. In Kristin Stock, & Deborah Bunker (Eds.), Proceedings of ISCRAM Asia Pacific 2018: Innovating for Resilience – 1st International Conference on Information Systems for Crisis Response and Management Asia Pacific. (pp. 132–144). Albany, Auckland, New Zealand: Massey Univeristy.
Abstract: Decision-makers in humanitarian crisis need information to guide them in making critical decisions. Finding information in such environments is a challenging task. Therefore, decision-makers rely on domain experts who possess experience and knowledge from previous humanitarian crises to provide them with the information they need. In this paper, we explore the ability of the existing computing technologies to augment the capabilities of those experts and help decision-makers to make faster and better decisions. Among many computing technologies we have today, word embedding and the semantic web are able to support such augmentation of the domain expert. In this paper, we train a word embedding model using word2vec, transform words and terms from news archive to entities in domain ontology, annotate those entities with their equivalent concepts from upper ontologies, and reason about them using semantic similarity and semantic matching, to represent and retrieve knowledge, and answer questions of interest to decision-makers in humanitarian crises. The approach was evaluated by comparing the use of word embeddings with and without semantic classification for the retrieval of information about the current humanitarian crisis in Syria.
|
|
John Sabou, & Simeon Videlov. (2016). An Analysis on the Role of Trust in Digital Humanitarian Actor Networks. In A. Tapia, P. Antunes, V.A. Bañuls, K. Moore, & J. Porto (Eds.), ISCRAM 2016 Conference Proceedings ? 13th International Conference on Information Systems for Crisis Response and Management. Rio de Janeiro, Brasil: Federal University of Rio de Janeiro.
Abstract: This paper explores the difficulties of collaboration between Volunteer and Technical Communities (V&TCs) and Humanitarian Response Organisations (HROs). The phenomenon of digital volunteers and their role in collecting and analyzing social media data provided by disaster affected populations has brought unprecedented opportunities and challenges to the humanitarian system. Central to these processes are the risks and vulnerabilities that these transformations might bring to existing humanitarian actors. Thus, this paper draws upon the work of Anthony Giddens regarding trust to account for the ongoing relational dynamics, and the unpacking of both it's institutional and inter-personal dimensions. The paper identifies two major approaches underlying their collaborative efforts. The first approach concerns a top-down and centralized process of developing a institutionalized forms of interfacing; while the second concerns the development of interpersonal relational infrastructure.
|
|
Erica Gralla, Jarrod Goentzel, & Bartel Van de Walle. (2015). Understanding the information needs of field-based decision-makers in humanitarian response to sudden onset disasters. In L. Palen, M. Buscher, T. Comes, & A. Hughes (Eds.), ISCRAM 2015 Conference Proceedings ? 12th International Conference on Information Systems for Crisis Response and Management. Kristiansand, Norway: University of Agder (UiA).
Abstract: The development and spread of new technology and the internet has opened a new world of possibilities to gather data and create information in a crisis. However, it is not clear which information field managers require to make the best possible decisions. As a result, it is difficult for volunteers, technology developers, and others, to collect and analyze data that results in information that is accessible and actionable for decision makers. To understand the information requirements of humanitarian responders, a workshop was conducted, bringing together eighteen experienced humanitarian responders. The results of the workshop include preliminary frameworks for decisions and information requirements that are common during the initial phases of a sudden onset disaster. These frameworks will help volunteer and technical communities to understand the information field decision-makers require to make the best possible decisions.
|
|