Virtual Astronomy, Information Technology, and the New Scientific Methodology

All sciences, including astronomy, are now entering the era of information abundance. The exponentially increasing volume and complexity of modern data sets promises to transform the scientific practice, but also poses a number of common technological challenges. The Virtual Observatory concept is the astronomical community's response to these challenges: it aims to harness the progress in information technology in the service of astronomy, and at the same time provide a valuable testbed for information technology and applied computer science. Challenges broadly fall into two categories: data handling (or "data farming"), including issues such as archives, intelligent storage, databases, interoperability, fast networks, etc., and data mining, data understanding, and knowledge discovery, which include issues such as automated clustering and classification, multivariate correlation searches, pattern recognition, visualization in highly hyperdimensional parameter spaces, etc., as well as various applications of machine learning in these contexts. Such techniques are forming a methodological foundation for science with massive and complex data sets in general, and are likely to have a much broather impact on the modern society, commerce, information economy, security, etc. There is a powerful emerging synergy between the computationally enabled science and the science-driven computing, which will drive the progress in science, scholarship, and many other venues in the 21st century

Citizen-led Work using Social Computing and Procedural Guidance

Online platforms enable people to interact with friends, family, and the world at large. How might people go beyond sharing stories and ideas to building and testing theories in the real world? While many are motivated to dig deeper into their lived experience, limited expertise and lack of platform support make complex activities like experimentation dauntingly hard. Novices benefit greatly from expert guidance: this thesis advocates baking the guidance into the interface itself.This dissertation introduces procedural guidance to build just-in-time expertise for difficult tasks. Procedural guidance has multiple advantages: it is minimal, leverages teachable moments, and can be ability-specific. This dissertation instantiates this insight of procedural guidance through a sequence of increasingly complex social computing systems: Gut Instinct for curating ideas, Docent for generating hypotheses, and Galileo for citizen-led experiments.Gut Instinct hosts online learning materials and enables people to collaboratively brainstorm potential influences on people’s microbiome. Docent explicitly teaches people to create hypotheses by combining personal insights and online learning with task-specific scaffolding. Finally, Galileo reifies experimentation in the software, provides multiple roles for contribution, and automatically manages interdependencies. Multiple evaluations—controlled experiments and field deployments with online communities including American Gut participants—demonstrate that procedural guidance enables people to transform intuitions to hypotheses and structurally-sound experiments. By enabling people to draw on lived experience, this dissertation harbingers a future where people can convert their intuitions to actionable plans and implement these plans with online communities. This dissertation concludes by discussing opportunities for complex work using social computing platforms

Precedent-Oriented Experimenting in Designing of Software Intensive Systems

The paper presents a precedent-oriented approach to experimenting with programmable units of developer’sactivity in conceptual designing of Software Intensive Systems (SIS). The reuse of any such a unit is being implemented as atypical work of a designer in accordance with the definite technique which is previously programmed. The offered approachis coordinated with simplifying the complexity on the base of interactions of designers with the accessible experience thekernel of which consists of models of assets included into Experience Base. The simplifying is being achieved by the use ofthe specialized pseudo-code language in programming of assets for their reuse by designers.Keywords/Index Terms— conceptual designing, pseudo-code language, programming, precedent-oriented approach,software intensive systems

Experiences of aiding autobiographical memory using the sensecam

Human memory is a dynamic system that makes accessible certain memories of events based on a hierarchy of information, arguably driven by personal significance. Not all events are remembered, but those that are tend to be more psychologically relevant. In contrast, lifelogging is the process of automatically recording aspects of one's life in digital form without loss of information. In this article we share our experiences in designing computer-based solutions to assist people review their visual lifelogs and address this contrast. The technical basis for our work is automatically segmenting visual lifelogs into events, allowing event similarity and event importance to be computed, ideas that are motivated by cognitive science considerations of how human memory works and can be assisted. Our work has been based on visual lifelogs gathered by dozens of people, some of them with collections spanning multiple years. In this review article we summarize a series of studies that have led to the development of a browser that is based on human memory systems and discuss the inherent tension in storing large amounts of data but making the most relevant material the most accessible

Research and Education in Computational Science and Engineering

Over the past two decades the field of computational science and engineering (CSE) has penetrated both basic and applied research in academia, industry, and laboratories to advance discovery, optimize systems, support decision-makers, and educate the scientific and engineering workforce. Informed by centuries of theory and experiment, CSE performs computational experiments to answer questions that neither theory nor experiment alone is equipped to answer. CSE provides scientists and engineers of all persuasions with algorithmic inventions and software systems that transcend disciplines and scales. Carried on a wave of digital technology, CSE brings the power of parallelism to bear on troves of data. Mathematics-based advanced computing has become a prevalent means of discovery and innovation in essentially all areas of science, engineering, technology, and society; and the CSE community is at the core of this transformation. However, a combination of disruptive developments---including the architectural complexity of extreme-scale computing, the data revolution that engulfs the planet, and the specialization required to follow the applications to new frontiers---is redefining the scope and reach of the CSE endeavor. This report describes the rapid expansion of CSE and the challenges to sustaining its bold advances. The report also presents strategies and directions for CSE research and education for the next decade.Comment: Major revision, to appear in SIAM Revie

Action Research : the first steps to start up a pilot experiment in heritage education

Peer-reviewedLes relacions entre els museus i les escoles canvien amb l'ús d'internet. Volem analitzar com aquestes noves relacions tenen lloc a una escala nacional. És important analitzar aquestes noves relacions possibles, que són producte de canvis socials i tecnològics, ja que permeten noves interaccions i participació, al mateix temps que demanen canvis en les formes d'organització, la gestió de recursos web i els models d'ensenyament i aprenentatge. Concretament, les xarxes d'aprenentatge poden establir una nova forma de relació entre els museus i les escoles, i els recursos educatius en línia amb contingut sobre patrimoni cultural poden oferir oportunitats d'aprenentatge i recursos de coneixement més enllà dels límits de l'ensenyament formal. Tanmateix, calen projectes experimentals per a efectuar proves i veure com aquests tipus de pràctiques d'ensenyament i aprenentatge funcionaran en un context social i cultural concret. Així, doncs, la recerca activa pot contribuir al desenvolupament d'una experiència d'aprenentatge, basat en la reflexió i l'acció. L'objectiu d'aquesta experimentació és obtenir un model de treball i millors pràctiques per a aprendre i ensenyar en xarxes d'aprenentatge formades per gestors, professors i estudiants de patrimoni en què els membres produeixin i utilitzin recursos educatius en línia amb contingut de patrimoni cultural. Els resultats d'aquest projecte empíric seran comprovats amb resultats de la primera part metodològica de la tesi doctoral per a obtenir un model que es pugui exportar a altres contextos.Las relaciones entre los museos y las escuelas cambian con el uso de internet. Queremos analizar cómo estas nuevas relaciones tienen lugar a una escala nacional. Es importante analizar estas posibles nuevas relaciones, que son producto de cambios sociales y tecnológicos, ya que permiten nuevas interacciones y participación, a la vez que requieren cambios en las formas de organización, la gestión de recursos web y los modelos de enseñanza y aprendizaje. Concretamente, las redes de aprendizaje pueden establecer una nueva forma de relación entre los museos y las escuelas, y los recursos educativos en línea con contenido de patrimonio cultural pueden ofrecer oportunidades de aprendizaje y recursos de conocimiento más allá de los límites de la enseñanza formal. No obstante, existe una necesidad de proyectos experimentales para realizar pruebas para ver cómo estos tipos de prácticas de enseñanza y aprendizaje funcionarán en un contexto social y cultural concreto. Así pues, la investigación-acción puede contribuir al desarrollo de una experiencia de aprendizaje, basado en la reflexión y las acciones. El objetivo de esta experimentación es obtener un modelo de trabajo y mejores prácticas para el aprendizaje y la enseñanza en redes de aprendizaje formadas por gestores, profesores y estudiantes del patrimonio en las que los miembros produzcan y utilicen recursos en línea con contenido de patrimonio cultural. Los resultados de este proyecto de investigación empírico serán comparados con los resultados de la primera parte metodológica de la tesis doctoral para obtener un modelo que pueda ser exportado a otros contextos.The relationships between museums and schools are changing through the use of internet. We want to analyse how these new relationships occur at a national level. It is important to analyse these possible new relationships, which are the product of social and technological changes. They allow for new interactions and participation whilst requiring changes in the forms of organisation, web resource management, and teaching and learning models. Specifically, learning networks can establish a new form of relationship between museums and schools and educational online resources with cultural heritage content can offer learning opportunities and knowledge resources beyond the boundaries of formal education. However, there is a need for experimental projects to test the evidence and to see how these kinds of teaching and learning practices will work within a concrete social and cultural context. Thus, Action Research can contribute to the development of a learning experience, based on reflection and actions. The aim of this experimentation is to obtain a working model and best practices for learning and teaching in learning networks shaped by heritage managers, teachers and students where the members produce and use educational online resources with cultural heritage content. The results of this empirical research project will be compared with results from the first methodological part of the PhD thesis to obtain a model that can be exported to other contexts

'Follow the innovation' - a joint experimentation and learning approach to transdisciplinary innovation research

The ZEF-UNESCO project on Sustainable Management of Land and Water Resources in Uzbekistan addresses the environmental, social and economic problems in the Khorezm province, located within the so-called Aral Sea Zone in Uzbekistan. Currently in its seventh year (third phase), the project aims “to provide sustainable solutions to the Aral Sea region through a holistic approach, combining technology, policy and institutional options developed in cooperation with local and international stakeholders” as stated on the project website. Consequently, the mutually enriching interplay of multiple disciplines is a precondition for a successful project. Inter- and eventually transdisciplinary research, rather than the mere co-existence of different disciplines captured under the notion of ‘multidisciplinarity’ is the chosen and actively facilitated approach. A work package is specifically designed to foster the creation of inter- and transdisciplinary research teams around innovation packages developed by the project and identified as possessing ‘plausible promises’ to take hold in the Khorezm agricultural system. To trigger and sustain this process, a stepwise approach is taken. In a workshop series, four ‘Follow the Innovation (FTI)’ teams of scientists surrounding innovations were formed, roadmaps prepared and a set of tools and skills for stakeholder interaction taught. A participatory joint experimentation and learning approach was chosen to validate innovations in the farmer’s setting. Between the workshops, all four FTI teams are supported and accompanied by a full-time FTI facilitator in their stakeholder outreach and designing and implementing processes of joint experimentation and learning with stakeholders. After the first steps of stakeholder involvement are made and contacts well established, the stakeholders, as partners take part in all following training workshops. Here the further processes of testing, experimenting and jointly adapting the developed innovation packages to match the local needs as well as bio-physical and socio-economic environments are jointly designed with the partners. Additionally this process is continuously monitored, documented, critically discussed and adjusted accordingly by all partners. This paper seeks to illustrate and discuss the experiences collected so far in nurturing a transdisciplinary process of joint experimentation and learning between researchers and local stakeholders, each in their behaviours, attitudes and actions shaped by the context and culture of their places of origin. These include amongst others the academic disciplines of the researchers, the research project, the local Uzbek setting, shaped by strong hierarchical structures and a post-soviet system of knowledge governance. Thus, diverse forms and contents of knowledge, carried by uniquely socialised actors, shall be mutually exchanged and lead to the joint development of new knowledge, to innovations that ‘make sense’ in the rural setting of Khorezm/Uzbekistan. The process design, its strengths and weaknesses are outlined and recommendations for improvement discussed