RAMPVIS: Answering the challenges of building visualisation capabilities for large-scale emergency responses

The effort for combating the COVID-19 pandemic around the world has resulted in a huge amount of data, e.g., from testing, contact tracing, modelling, treatment, vaccine trials, and more. In addition to numerous challenges in epidemiology, healthcare, biosciences, and social sciences, there has been an urgent need to develop and provide visualisation and visual analytics (VIS) capacities to support emergency responses under difficult operational conditions. In this paper, we report the experience of a group of VIS volunteers who have been working in a large research and development consortium and providing VIS support to various observational, analytical, model-developmental, and disseminative tasks. In particular, we describe our approaches to the challenges that we have encountered in requirements analysis, data acquisition, visual design, software design, system development, team organisation, and resource planning. By reflecting on our experience, we propose a set of recommendations as the first step towards a methodology for developing and providing rapid VIS capacities to support emergency responses

RAMPVIS: Answering the Challenges of Building Visualisation Capabilities for Large-scale Emergency Responses

The effort for combating the COVID-19 pandemic around the world has resulted in a huge amount of data, e.g., from testing, contact tracing, modelling, treatment, vaccine trials, and more. In addition to numerous challenges in epidemiology, healthcare, biosciences, and social sciences, there has been an urgent need to develop and provide visualisation and visual analytics (VIS) capacities to support emergency responses under difficult operational conditions. In this paper, we report the experience of a group of VIS volunteers who have been working in a large research and development consortium and providing VIS support to various observational, analytical, model-developmental, and disseminative tasks. In particular, we describe our approaches to the challenges that we have encountered in requirements analysis, data acquisition, visual design, software design, system development, team organisation, and resource planning. By reflecting on our experience, we propose a set of recommendations as the first step towards a methodology for developing and providing rapid VIS capacities to support emergency responses

BRIDGING THE GAP BETWEEN TECHNOLOGY AND SCIENCE WITH EXAMPLES FROM ECOLOGY AND BIODIVERSITY

Early informatics focused primarily on the application of technology and computer science to a specific domain; modern informatics has broadened to encompass human and knowledge dimensions. Application of technology is but one aspect of informatics. Understanding domain members’ issues, priorities, knowledge, abilities, interactions, tasks and work environments is another aspect, and one that directly impacts application success. Involving domain members in the design and development of technology in their domain is a key factor in bridging the gap between technology and science. This user-centered design (UCD) approach in informatics is presented via an ecoinformatics case study in three areas: collaboration, usability, and education and training

Exploratory Competitive Intelligence through Task Complexity Analysis

As one of the major resources for competitive intelligence (CI), the Internet not only provides a large amount of public data but also exposes a variety of business relations that may not otherwise be well-known. However, finding such information can be tedious and time-consuming for end-users without proper tools or expertise. In this paper, we examine the nature of CI tasks, classify and decompose them based on task complexity theories, and propose norms for a context-based approach to retrieve CI data. Our study provides a framework to further explore the relationships among CI tasks, interactive search, and context-based search systems design

Gender-Inclusive Requirements Engineering

Publisher Copyright: © 2022 The Author(s)Gender inclusion is fundamental to a prosperous society, but inequality and exclusion persist in various sectors of it. One of them is the ICT field, which is still struggling to represent the diversity of those it serves. The lack of diversity and power imbalance in software development affects the produced systems, that, instead of advancing gender inclusion, create new barriers in achieving it. Although considered neutral, software does not equally serve everyone who depends on it, favoring characteristics that are statistically more observed in those that are represented during development. As software development teams are predominantly male, it is not surprising that existing systems favor characteristics that are statistically more observed in men over characteristics observed in other genders. As technologies rapidly evolve and revolutionize the way we live, addressing this problem becomes urgent to ensure that these systems benefit everyone, regardless of their gender. As a first step towards this goal, we performed a systematic mapping study on gender issues in software engineering whose results indicated that gender impacts development and systems, but there are limited approaches for addressing it in Requirements Engineering. This study served as the foundation for proposing a conceptual model for gender-inclusive requirements. Its main objective is to facilitate discussion and analysis of gender and related concepts in the elicitation process to include them in the specification of requirements. In this paper, we extend this work by illustrating the concepts with an example, by presenting a process for using the knowledge of the model and a prototype tool that implements it, and by discussing an evaluation with 31 participants of the conceptual model's usefulness, difficulty of understanding, strengths and weaknesses, use and recommendation, and finally, its components. The results were positive as both novices and experts in conceptual modeling considered the model useful, provided comprehensive feedback on its strengths but also suggestions for improvement, and most answered positively to the questions about whether they would use and recommend it.publishersversionpublishe

Models and Modelling between Digital and Humanities: A Multidisciplinary Perspective

This Supplement of Historical Social Research stems from the contributions on the topic of modelling presented at the workshop “Thinking in Practice”, held at Wahn Manor House in Cologne on January 19-20, 2017. With Digital Humanities as starting point, practical examples of model building from different disciplines are considered, with the aim of contributing to the dialogue on modelling from several perspectives. Combined with theoretical considerations, this collection illustrates how the process of modelling is one of coming to know, in which the purpose of each modelling activity and the form in which models are expressed has to be taken into consideration in tandem. The modelling processes presented in this volume belong to specific traditions of scholarly and practical thinking as well as to specific contexts of production and use of models. The claim that supported the project workshop was indeed that establishing connections between different traditions of and approaches toward modelling is vital, whether these connections are complementary or intersectional. The workshop proceedings address an underpinning goal of the research project itself, namely that of examining the nature of the epistemological questions in the different traditions and how they relate to the nature of the modelled objects and the models being created. This collection is an attempt to move beyond simple representational views on modelling in order to understand modelling processes as scholarly and cultural phenomena as such

RAMPVIS: Answering the Challenges of Building Visualisation Capabilities for Large-scale Emergency Responses

The effort for combating the COVID-19 pandemic around the world has resulted in a huge amount of data, e.g., from testing, contact tracing, modelling, treatment, vaccine trials, and more. In addition to numerous challenges in epidemiology, healthcare, biosciences, and social sciences, there has been an urgent need to develop and provide visualisation and visual analytics (VIS) capacities to support emergency responses under difficult operational conditions. In this paper, we report the experience of a group of VIS volunteers who have been working in a large research and development consortium and providing VIS support to various observational, analytical, model-developmental, and disseminative tasks. In particular, we describe our approaches to the challenges that we have encountered in requirements analysis, data acquisition, visual design, software design, system development, team organisation, and resource planning. By reflecting on our experience, we propose a set of recommendations as the first step towards a methodology for developing and providing rapid VIS capacities to support emergency responses