Final Report of the ModSysC2020 Working Group - Data, Models and Theories for Complex Systems: new challenges and opportunities

Final Report of the ModSysC2020 Working Group at University Montpellier 2At University Montpellier 2, the modeling and simulation of complex systems has been identified as a major scientific challenge and one of the priority axes in interdisciplinary research, with major potential impact on training, economy and society. Many research groups and laboratories in Montpellier are already working in that direction, but typically in isolation within their own scientific discipline. Several local actions have been initiated in order to structure the scientific community with interdisciplinary projects, but with little coordination among the actions. The goal of the ModSysC2020 (modeling and simulation of complex systems in 2020) working group was to analyze the local situation (forces and weaknesses, current projects), identify the critical research directions and propose concrete actions in terms of research projects, equipment facilities, human resources and training to be encouraged. To guide this perspective, we decomposed the scientific challenge into four main themes, for which there is strong background in Montpellier: (1) modeling and simulation of complex systems; (2) algorithms and computing; (3) scientific data management; (4) production, storage and archiving of data from the observation of the natural and biological media. In this report, for each theme, we introduce the context and motivations, analyze the situation in Montpellier, identify research directions and propose specific actions in terms of interdisciplinary research projects and training. We also provide an analysis of the socio-economical aspects of modeling and simulation through use cases in various domains such as life science and healthcare, environmental science and energy. Finally, we discuss the importance of revisiting students training in fundamental domains such as modeling, computer programming and database which are typically taught too late, in specialized masters

The needs of industry and future technologies landscapes and the resultant requirements for the graduate profile

This report presents current and future technology landscapes that can be affected by design for all in the field of ICT, and how these landscapes can affect the future graduate profile. It also presents an overview of current industry awareness about the topic, and a summary of the industry needs

Intelligence Augmentation: Towards Building Human-Machine Symbiotic Relationship

Artificial intelligence, which people originally modeled after human intelligence, has made significant advances in recent years. These advances have caused many to fear that machines will surpass human intelligence and dominate humans. Intelligence augmentation (IA) has the potential to turn the tension between the two intelligence types into a symbiotic one. Although IA has not gained momentum until recent years, the idea that machines can amplify human abilities has existed for many decades. Expanded from a panel discussion on Intelligence Augmentation at the 2020 International Conference of Information Systems (ICIS), we define IA in light of its history and evolution and classify IA based on its capabilities, roles, and responsibilities. Based on reviewing the IA literature in terms of research themes, enabling technology, and applications, we identify key research issues, challenges, and future opportunities

Architecture of participation : the realization of the Semantic Web, and Internet OS

Thesis (S.M.)--Massachusetts Institute of Technology, System Design and Management Program, February 2008.Includes bibliographical references (p. 65-68).The Internet and World Wide Web (WWW) is becoming an integral part of our daily life and touching every part of the society around the world including both well-developed and developing countries. The simple technology and genuine intention of the original WWW, which is to help researchers share and exchange information and data across incompatible platforms and systems, have evolved into something larger and beyond what one could conceive. While WWW has reached the critical mass, many limitations are uncovered. To address the limitations, the development of its extension, the Semantic Web, has been underway for more than five years by the inventor of WWW, Tim Berners-Lee, and the technical community. Yet, no significant impact has been made. Its awareness by the public is surprisingly and unfortunately low. This thesis will review the development effort of the Semantic Web, examine its progress which appears lagging compared to WWW, and propose a promising business model to accelerate its adoption path.by Shelley Lau.S.M

Identifying core knowledge and skill sets for model curricula: update

This deliverable presents state of the art in curriculum development work, and compares IDCnet to it. Next it discusses the methodology followed to identify key knowledge and skill sets for Design for All. The categories of knowledge thus identified are organised into a taxonomy with examples given for each category and subcategory along with a set of learning outcomes. The purpose of the taxonomy is to structure the knowledge. As this deliverable was a ‘living’ document, and as further activities have taken place since this deliverable was first submitted, this version includes a substantially expanded chapter 5, incorporating comments from: the project review process; the new members of IDCnet; the second IDCnet workshop; as well as comments received from colleagues in response to dissemination activities at conferences. The categories and subcategories of the taxonomy remain unchanged, but further topics and examples have been added to illustrate and clarify the use and range of each category. Finally, the next steps in the IDCnet WP3 strategy are briefly described

Essential competencies of exceptional professional software engineers

Department Head: Rodney R. Oldehoeft.1991 Fall.Includes bibliographical references (pages 141-144).This dissertation presents a differential study of exceptional and non-exceptional professional software engineers in the work environment. The first phase of the study reports an in-depth review of 20 engineers. The study reports biographical data, Myers-Briggs Type Indicator test results, and Critical Incident Interview data for 10 exceptional and 10 non-exceptional subjects. Phase 1 concludes with a description of 38 essential competencies of software engineers. Phase 2 of this study surveys 129 engineers. Phase 2 reports biographical data for the sample and concludes that the only simple demographic predictor of performance is years of experience in software. This variable is able to correctly classify 63% of the cases studied. Phase 2 also has the participants complete a Q-Sort of the 38 competencies identified in Phase 1. Nine of these competencies are differentially related to engineer performance. A10 variable Canonical Discriminant Function is derived which is capable of correctly classifying 81% of the cases studied. This function consists of three biographical variables and seven competencies. The competencies related to Personal Attributes and Interpersonal Skills are identified as the most significant factors contributing to performance differences

Northern Sparks

An “episode of light” in Canada sparked by Expo 67 when new art forms, innovative technologies, and novel institutional and policy frameworks emerged together. Understanding how experimental art catalyzes technological innovation is often prized yet typically reduced to the magic formula of “creativity.” In Northern Sparks, Michael Century emphasizes the role of policy and institutions by showing how novel art forms and media technologies in Canada emerged during a period of political and social reinvention, starting in the 1960s with the energies unleashed by Expo 67. Debunking conventional wisdom, Century reclaims innovation from both its present-day devotees and detractors by revealing how experimental artists critically challenge as well as discover and extend the capacities of new technologies. Century offers a series of detailed cross-media case studies that illustrate the cross-fertilization of art, technology, and policy. These cases span animation, music, sound art and acoustic ecology, cybernetic cinema, interactive installation art, virtual reality, telecommunications art, software applications, and the emergent metadiscipline of human-computer interaction. They include Norman McLaren's “proto-computational” film animations; projects in which the computer itself became an agent, as in computer-aided musical composition and choreography; an ill-fated government foray into interactive networking, the videotext system Telidon; and the beginnings of virtual reality at the Banff Centre. Century shows how Canadian artists approached new media technologies as malleable creative materials, while Canada undertook a political reinvention alongside its centennial celebrations. Northern Sparks offers a uniquely nuanced account of innovation in art and technology illuminated by critical policy analysis

Industry–Academia Research Collaboration and Knowledge Co-creation: Patterns and Anti-patterns

Increasing the impact of software engineering research in the software industry and the society at large has long been a concern of high priority for the software engineering community. The problem of two cultures, research conducted in a vacuum (disconnected from the real world), or misaligned time horizons are just some of the many complex challenges standing in the way of successful industry–academia collaborations. This article reports on the experience of research collaboration and knowledge co-creation between industry and academia in software engineering as a way to bridge the research–practice collaboration gap. Our experience spans 14 years of collaboration between researchers in software engineering and the European and Norwegian software and IT industry. Using the participant observation and interview methods, we have collected and afterwards analyzed an extensive record of qualitative data. Drawing upon the findings made and the experience gained, we provide a set of 14 patterns and 14 anti-patterns for industry–academia collaborations, aimed to support other researchers and practitioners in establishing and running research collaboration projects in software engineering.publishedVersio