Information technology networked system for student mobility support

Purpose - This paper presents an IT system - Student Connectivity Module (SCM) - designed for support of administration of student exchange between universities in different countries, developed under the EU 7th Framework Programme. This paper aims to share the acquired knowledge on existing difficulties in mobility management, propose solutions to those problems, and present results of system validation using its prototype deployed at two universities. Design/methodology/approach - Prior to the system design, the needs, plans and expectations concerning the academic IT services were surveyed among 100 universities. On this basis, in close with prospective system users, an original peer-to-peer system was developed using top-down model-driven and agile software development techniques. Findings - The barriers to effective interoperation of academic information systems were revealed: 1) diversity and heterogeneity of campus IT solutions, 2) differences in patterns of international student mobility flow, 3) diversity in national personal data protection policies, 4) lack of standards for e-data exchange. The SCM system overcomes these problems by adopting platform-independent IT solutions, Web-Services, a network of trusted authority servers, and a novel “quasi-standard” solution for e-data exchange, with the use of home university campus cards to access facilities at host institutions. Originality - The management of foreign student exchange is a complicated process. It involves students, faculty, administrative staff and external institutions. To our knowledge, there is no other comprehensive networked IT system available to facilitate administration of student mobility, make it better controlled, less laborious and faster, in a secure way. Our IT solution contributes to overcoming the current barriers to academic mobility within Europe and elsewhere

The Case for Developing and Deploying an Open Source Electronic Logistics Management Information System

Summarizes efforts to strengthen health information systems in low- and lower-middle-income countries, including development of common requirements. Outlines models for collaboration among stakeholders, national leaders, and health information users

MILO: Models of innovation in learning online at Key Stage 3 and 14-19: Final report

The report presents and analyses eight case studies, which reflect a wide range of models of online learning, each of which has been developed for specific reasons, largely in relation to visions of how technology can transform learning, but also to solve practical problems such as re-engaging disaffected learners and coping with rising pupil numbers

High-Performance Cloud Computing: A View of Scientific Applications

Scientific computing often requires the availability of a massive number of computers for performing large scale experiments. Traditionally, these needs have been addressed by using high-performance computing solutions and installed facilities such as clusters and super computers, which are difficult to setup, maintain, and operate. Cloud computing provides scientists with a completely new model of utilizing the computing infrastructure. Compute resources, storage resources, as well as applications, can be dynamically provisioned (and integrated within the existing infrastructure) on a pay per use basis. These resources can be released when they are no more needed. Such services are often offered within the context of a Service Level Agreement (SLA), which ensure the desired Quality of Service (QoS). Aneka, an enterprise Cloud computing solution, harnesses the power of compute resources by relying on private and public Clouds and delivers to users the desired QoS. Its flexible and service based infrastructure supports multiple programming paradigms that make Aneka address a variety of different scenarios: from finance applications to computational science. As examples of scientific computing in the Cloud, we present a preliminary case study on using Aneka for the classification of gene expression data and the execution of fMRI brain imaging workflow.Comment: 13 pages, 9 figures, conference pape

Encourage. Empowering People. Annual Report 2012

Peter Löscher, President of the Siemens Stiftung Board of Trustees, on behalf of the Board: Siemens Stiftung aims to contribute to positive changes in society with technical solutions, concrete concepts, and platforms for knowledge transfer. Cooperating with various stakeholders is a fundamental requirement for increasing the impact of its projects and anchoring them for the long term. For that reason, Siemens Stiftung seeks to cooperate with other foundations and non-governmental organizations as well as with government institutions, businesses, and the scientific community. Partnerships allow complementary approaches, skills, and resources to be bundled and sustainable programs to be developed. The previous fiscal year, in particular, delivers impressive examples of how such partnership models can increase the effectiveness of project work