Subjective access barriers to public transport are often the result of insufficient knowledge of how to use the electronic systems (ticket machines) which are becoming increasingly common at railway stations as well as the result of the complexity of these systems (fare structures). The hardware and software components used in self-service machines can raise additional barriers for people with restricted mobility or people who have a low affinity for technology. The InnoMat2 research project seeks to develop a prototype of a new ticket machine which offers maximum support to the target groups (including people with low technical affinity and those with limited mobility). The goal is to combine a high level of user friendliness with the complexity of the fare structure in future machine generations.

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The research project *VIENA* (Visual Enterprise Network Analytics) aims to develop and test a prototype software of visual network analysis that will be capable to support organizational consulting services. As its focus will be the visualization of change, its main purpose is the display and evaluation of change management processes. Building upon concepts and methods of Dynamical Network Analysis (DNA) the interactive visual exploration and analysis of teams and organizations over different periods of time should be enhanced. The complex data and information sets, that get structured and illustrated by DNA-methods, will be further processed by Visual Analytics techniques, so that interactive explorations of influencing change factors will be possible. The development of a user-friendly interface should enable also non-professional users to visually analyze and explore complex networks and their dynamics.

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Subjective access barriers to public transport are often the result of insufficient knowledge of how to use the electronic systems (ticket machines) which are becoming increasingly common at railway stations and of the complexity of these systems (fare structures). The hardware and software used in self-service machines can also raise additional barriers for people with restricted mobility or who have a low affinity for technology. The InnoMat research project seeks to identify how new machines should be designed to best meet the needs of their diverse user groups. Managed by ÖBB Personenverkehr AG, the Deptartment for Knowledge and Communication Management (KnowComm), PL.O.T. EDV-Planungs- und Handels Ges.m.b.H. and AlliedPanels Entwicklungs- und Produktions GmbH are developing the framework for a new generation of rail ticket vending machines.

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Subjective access barriers to public transport are often the result of insufficient knowledge of how to use the electronic systems (ticket machines) which are becoming increasingly common at railway stations and of the complexity of these systems (fare structures). The hardware and software used in self-service machines can also raise additional barriers for people with restricted mobility or who have a low affinity for technology. The InnoMat research project seeks to identify how new machines should be designed to best meet the needs of their diverse user groups. Managed by ÖBB Personenverkehr AG, the Deptartment for Knowledge and Communication Management (KnowComm), PL.O.T. EDV-Planungs- und Handels Ges.m.b.H. and AlliedPanels Entwicklungs- und Produktions GmbH are developing the framework for a new generation of rail ticket vending machines.

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The objective of PROLIX (PRocess Oriented Learning and Information eXchange) is to align learning with business processes in order to enable organisations to faster improve the competencies of their employees according to continuous changes of business requirements. To reach this goal, PROLIX develops an open, integrated reference architecture for process-oriented learning and information exchange. The project is funded by the 6th EU Framework Programme „Information Society Technology“.

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INfrastructure and SAFETY: IN-SAFETY is a multifaceted research project to enhance the self-explanatory and forgiving nature of roads. It aims at using intelligent and intuitive combinations of new technologies and traditional infrastructure best practice solutions to improve the common safety standard of the European road-network and its transnational traffic-system. In accordance with this goal central fields of study are the development and optimization of traditional traffic signs and modern road information systems. Managed by the Hellenic Institute of Transport (CERTH/ HIT) the research is undertaken by 30 Partners and key subcontractors from 12 European countries. Pilots are realised and tested in 4 inter-related pan European pilots, covering all road types and including among others key drivers' cohorts, such as tourists, elderly and novice drivers.

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Studies confirm that barriers and “male” structures make the path to scientific management positions much longer for women than for their male colleagues. As a result, many women are systematically lost to science in the course of their career – a phenomenon which is known to the research as a “leaky pipeline”. In cooperation with five partner institutes from Poland, Finland, Austria, the Netherlands and Bulgaria and also – for the first time – in interdisciplinary collaboration with four departments of Danube University Krems, a specific training programme for the participants is developed, combined with a mentoring and coaching programme. Coordinated by KnowComm the two-year EU project aimed in particular at women researchers from engineering and science in the pre- and post-doctoral phase.

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