GRAPP & IVAPP 2012: Proceedings of the International Conference on Computer Graphics Theory and Applications and International Conference on Information Visualization Theory and Applications

This book contains the proceedings of the International Conference on Computer Graphics Theory and Applications (GRAPP 2012) and of the International Conference on Information Visualization Theory and Applications (IVAPP 2011) which were organized and sponsored by the Institute for Systems and Technologies of Information, Control and Communication (INSTICC). We hope that the proceedings here published, demonstrate new and innovative solutions, and highlight technical problems in each field that are challenging and worthwhile. Thus, GRAPP and IVAPP were organized to promote a discussion forum between researchers, developers, manufactures and end-users, about the conferences research topics and to establish guidelines in the developing of more advanced solutions. We received a high number of paper submissions for this edition of GRAPP, 116 in total, with contributions from all five continents which attest to the success and global dimension of GRAPP. To evaluate each submission, we used a double-blind evaluation method and each paper was reviewed by at least two experts from the International Program Committee. In the end, 20 papers were selected for publication as full papers, 35 papers were accepted for short presentation and 23 were accepted for poster presentation. The result was an oral-paper acceptance ratio of 47% and a high-quality program that is attractive to experts from Computer Graphics area. A high number of paper submissions for this edition of IVAPP was also received, 66 in total, with contributions from all five continents which attest to the success and global dimension of IVAPP. 12 papers were selected for publication as full papers, 7 papers were accepted for short presentation and 15 were accepted for poster presentation. The result was an oral-paper acceptance ratio of 29% and a high-quality program that is attractive to experts from Information Visualization area. We hope that these Conference Proceedings, submitted for indexation by Thomson Reuters Conference Proceedings Citation Index, INSPEC, DBLP and EI, may help the Computer Graphics community to find interesting research work. Furthermore, a short list of presented papers will be selected to be expanded into a forthcoming book of VISIGRAPP Selected Papers to be published by Springer during 2012. Moreover, the conference also featured a number of keynote lectures delivered by internationally well known experts thus contributing to increase the overall quality of the conference and to provide a deeper understanding of the conference interest fields. In order to promote the development of professional networks the organizing committee has prepared a Conference Dinner in the evening of February 25th. We hope that you enjoy this exciting conference and have an unforgettable stay in the beautiful city of Rome, Italy. Finally, we would like to express our thanks, first of all, to the authors of the technical papers, whose work and dedication make possible to put together a program that we believe very exciting and of high technical quality. Next, we would like to thank all the members of the program committee and auxiliary reviewers, who helped us with their expertise and time. We would also like to thank the invited speakers for their invaluable contribution and for sharing their vision in their talks. Special thanks should be addressed to the INSTICC Steering Committee whose invaluable work made possible this event. We wish you all an exciting conference and an unforgettable stay in Rome, Italy. We hope to meet you again for the next edition of GRAPP and IVAPP, details of which will be shortly available at http://www.grapp.visigrapp.org and http://www.ivapp.visigrapp.org

Substance Use Disorder and Heredity: It\u27s a Family Disease

Join the NNLM NER for a special webinar that explores the many facets of substance use disorder in teens through a candid interview about Substance Use Disorder with a Worcester, Massachusetts Recovery High School student, her father, and her grandmother. Three generations of this family have been affected by addiction. Hear in their own words as they share their family’s story of addiction. Worcester Recovery High School Clinician Alyssa Richard-Figueroa, Principal Mary Ellen McGorry and UMass Internal Medicine Physician Dr. Margret Chang share their expertise and commentary as we learn from this family about how early exposure to addictive substances, genetic predisposition, trauma, peer pressure, and mental health contribute to the complicated disease of substance use disorder. Learning Objectives: Become familiar with the resources for Substance Use Disorder NLM and partner organizations offer such as MedlinePlus, Drug Information Portal and Pillbox. Learn what a Recovery High School is. Identify the root causes of addiction. Explain the roles of genetic predisposition and choice in the disease of addiction Understand how public schools can be where teens first obtain addictive substances and develop a substance use disorder. Formulate a plan to address peer pressure and addictive substance use. Learn how to provide support and resources to students using addictive substances in public school settings. Recognize how to be more effective in the prevention and treatment of addiction as a parent, healthcare provider, librarian, educator, first responder and law enforcement professional when engaging with someone with a substance use disorder

A provenance task abstraction framework

Visual analytics tools integrate provenance recording to externalize analytic processes or user insights. Provenance can be captured on varying levels of detail, and in turn activities can be characterized from different granularities. However, current approaches do not support inferring activities that can only be characterized across multiple levels of provenance. We propose a task abstraction framework that consists of a three stage approach, composed of (1) initializing a provenance task hierarchy, (2) parsing the provenance hierarchy by using an abstraction mapping mechanism, and (3) leveraging the task hierarchy in an analytical tool. Furthermore, we identify implications to accommodate iterative refinement, context, variability, and uncertainty during all stages of the framework. A use case describes exemplifies our abstraction framework, demonstrating how context can influence the provenance hierarchy to support analysis. The paper concludes with an agenda, raising and discussing challenges that need to be considered for successfully implementing such a framework

A novel approach to task abstraction to make better sense of provenance data

Working Group Report in 'Provenance and Logging for Sense Making' report from Dagstuhl Seminar 18462: Provenance and Logging for Sense Making, Dagstuhl Reports, Volume 8, Issue 1

Future Challenges and Unsolved Problems in Multi-field Visualization

Evaluation, solved and unsolved problems, and future directions are popular themes pervading the visualization community over the last decade. The top unsolved problem in both scientific and information visualization was the subject of an IEEE Visualization Conference panel in 2004. The future of graphics hardware was another important topic of discussion the same year. The subject of how to evaluate visualization returned a few years later. Chris Johnson published a list of 10 top problems in scientific visualization research. This was followed up by report of both past achievements and future challenges in visualization research as well as financial support recommendations to the National Science Foundation (NSF) and National Institute of Health (NIH). Chen recently published the first list of top unsolved information visualization problems. Future research directions of topology-based visualization was also a major theme of a workshop on topology-based methods. Laramee and Kosara published a list of top future challenges in human-centered visualization

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