Author: Thomas J. Lampoltshammer

WE ARE HIRING – Full-time Researcher

Our team wants you!uncle_sam_28pointing_finger29

You think that public administration could do better? You see technological potential as being grossly grossly  neglected? You have big ideas of how technology can contribute to deliver improved services for the benefit of all, to make countries greener, cities smarter, and people happier?

We are interested!

You have a technical background, with experience in programming and databases? You are not afraid of UML, metadata and data modelling? You always wanted to get deep into linked (open) data and semantics? You find requirements engineering to be a piece of cake?

We should definitely talk!

The Department for E-Governance and Administration at Danube University Krems / Austria (EU) is looking for an enthusiastic new colleague to improve public governance through the widespread application of technology.

We are the leading Austrian research institution for public governance, with long-lasting collaborations within the international research community, industry, as well as within public administration; including the Austrian Chancellery, the Federal Ministry of Finance, the Federal Ministry for Digital and Economic Affairs, the Federal Ministry of the Interior, the City of Vienna, or the Austrian Federal Computing Centre. The Department for E-Governance and Administration also hosts, together with the Federal Ministry for the Civil Service and Sport, the GovLabAustria, an innovation lab for the public sector.

You bring:

  • Graduate in Computer Science, (business) informatics or any other study with a clear and demonstrable focus on ICT
  • Master’s level or higher degree (or equivalent qualification)
  • A deep interest to perform research on the intersection between public administration, science, industry, and society
  • A deep understanding of data driven-approaches, process design, and digital transformation
  • The ability to identify problems on your own and provide solutions to them
  • You enjoy working with collaborative technologies, also remotely
  • Teamwork and constant exchange come naturally to you
  • Excellent English, written and spoken

Would be nice:

  • You possess experience working in a scientific environment
  • You have been part of an international research project already
  • First-hand experience in scientific publishing and writing research grant proposals

You will get:

  • Regular, project-based employee contract, starting 15.04.2019, limited to 30.9.2020 but with the clear intention for extension.
  • 2.738,91 EUR gross per month with 38.5h/week (W3/1 according to the Work and Remuneration Regulations – DBO of Danube University Krems) – we are willing to pay a higher salary according to qualifications and training.
  • Social amenities on the Campus Krems with a highly international and welcoming atmosphere.  
  • Excellent business contacts to high-ranked public sector officials as well as international research networks.
  • A beautiful work place within the UNESCO world heritage region of the Wachau.

Scope of project “ManyLaws”, in which you will work:

The project aims to deliver a set of novel services for citizens, businesses, and administrations of the European Union, built upon text mining, advanced processing and semantic analysis of legal information. To achieve this, ManyLaws will access big legal data currently produced and published in multiple national or EU public data sources (e.g., EUR-Lex, NOMOS), link it and transform it to structured open datasets. By combining data coming from a multiplicity of sources, ManyLaws aims to achieve seamless and inclusive access to legal information across EU and improve the efficacy of decision-making in legislative procedures operated by public bodies. Furthermore, the activity will cater for making available the total of semantically annotated input data, intermediate data sets, and output results through the European Data Portal.

For further information, please contact Ass.-Prof. Dr. Thomas Lampoltshammer via mail: thomas.lampoltshammer@donau-uni.ac.at

The team of the Department for E-Governance and Administration is looking forward to meeting you!

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We’re hiring!

Our team wants you!uncle_sam_28pointing_finger29

For reinforcing our team at the Department for E-Governance and Administration at the Faculty of Business and Globalization, we are searching for a highly motivated researcher for a non-tenured position.

For a non-tenured faculty position, responsibilities include collaborating on informatics/social sciences projects in multidisciplinary teams, supervising students during their Master’s thesis, teaching courses, and participating in service activities as well as in the development and/or expansion of national and European research activities. Rank is open based on qualifications.

This is a full-time, 3-years, non-tenure track appointment (limited until September 30th, 2019) with possible extension depending on funding and performance. 

Required Qualifications for Non-Tenured Position:

  • Master’s and/or doctoral degree (Ph.D.) in Informatics (preferably Business-, or Legal informatics), Information Science or suitable combination of disciplines (Social Sciences and/or Legal Sciences within Informatics background).

Desired Qualifications for Non-Tenured Position:

  • Experienced in and active contributions to national and/or European/international research projects
  • Experienced in and active contributions to scientific publications and dissemination
  • Ability to teach and supervise students
  • High personal interest in the research areas E-Democracy, E-Government, E-Participation, Open Data, Data-driven administration/politics etc.
  • Hands-on programming skills (e.g., Java, C#, Python, JS)
  • Skills in qualitative and quantitative research methodologies
  • Expertise in data architectural design and analysis as well as in governance frameworks
  • Ability to work collaboratively within an interdisciplinary team that includes computer/social scientists, legal experts, faculty, and staff
  • Willingness to travel
  • Excellent English language proficiency (German language proficiency is beneficial but not mandatory)

Initial closing date for this position is October 2nd, 2016. Electronic applications are preferred. Applicants are asked to email/send the following items with the application code “1659_GOV“ to the human resources department under the following address: “Personalabteilung der Donau-Universität Krems”, Dr.-Karl-Dorrek-Straße 30, A-3500 Krems, Katharina Markl at katharina.markl@donau-uni.ac.at:

  • A letter of interest including the name of the position for which you are applying
  • Your qualifications and experience as it relates to the position
  • Teaching and research statement
  • Curriculum vitae including a list of publications

Please be prepared to provide letters of recommendation on request. The minimum monthly salary according to the university’ s remuneration system (W3/1) is EUR 2.642,05 gross for 38.5h/week. The actual salary may vary depending on the candidate’s experience and qualification.

The Danube University Krems is an equal opportunity employer. All qualified applicants will be considered without regard to race, color, sex, religion, national origin, disability, or any other basis protected by law.

Open Data, Transparency and Open Innovation #cedem16

CeDEM16
CeDEM – the international Conference for e-Democracy and Open Government – brings together e-democracy, e-participation and open government specialists working in academia, politics, government and business to critically analyse the innovations, issues, ideas and challenges in the networked societies of the digital age. The CeDEM16 will be held from May 18th to May 20th 2016 at the Danube University Krems.

» More about the CeDEM16
» All CeDEM16 Sessions

Open Data, Transparency and Open Innovation

Using Open Research Data for Public Policy Making: Opportunities of Virtual Research Environments (Anneke Zuiderwijk, Keith Jeffery, Daniele Bailo and Yi Yin)

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Scientists are looking for ways to publish their data and meet people that are searching for data to use for their applications. Usually these do not come together at the same place. Therefore, the need arises regarding Research Infrastructures and Virtual Research Environments (VRE).

These introduced environments offer:

  • Data, Tools, Resource/infrastructure, Collaboration and co-operation between researchers
  • Collaboration and co-operation between researchers on intra/inter institutional levels
  • Preservation of data and the associated outputs

The overall idea is to combine data from different domains in order to foster multidisciplinary research.

Yet there still exist challenges and open issues regarding the realisation of this concept:

  • Open issues
    • Data context is essential (esp. as certain disciplines have spec. methods, approaches
    • Heterogeneity in terms of semantics (concepts and terms treated differently in different disciplines)
    • User experience in terms of data acquisition
    • Fast updates to reflect current status quo/state-of-the-art
    • Data quality affects all methods and results based on the outcomes
    • Data privacy including researchers and individuals is important
    • Software issues in terms of compatibility
  • What are the requirements for a VRE combination of existing infrastructures
  • Fusion of OGD with ORD
  • General Empowerment of multidisciplinary research

Derived from a case study from the field of earth sciences, the following 13 requirements are crucial regarding the instantiation of a VRE:

  • Data storage
  • Data accessing
  • Data computational services
  • Data curation
  • Data cataloguing
  • Linkage between VREs
  • User identification
  • Researcher or community collaboration support
  • User communities training and support services
  • Service interface
  • Simplicity and ease of use
  • Accounting service
  • Sustainable business model for long-term operation of a VRE

Regarding future developments, promotion, and adoption of VREs, it will be necessary to not only intensify the

Presentation slides

Towards a Linked Data Publishing Methodology (Eduard Klein, Adrian Gschwend and Alessia C. Neuroni)

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Businesses and organisations struggle with the existence of legacy data (events, pois, glam data) in their repositories, as these affect the applicability of tools and techniques in terms of compatibility throughout the entire data life-cycle. Linked data approaches can help not only regarding the interconnection of data, but also regarding general integration aspects and the overall enrichment strategy.

Overall the two most important aspects are:

  • Higher usability
  • Creation of sustainability

Klein et al. have therefore developed a methodology, which is dedicated to sketching the necessary steps in conjunction with the associated affordances to ease the planning and implementation of linked data approaches. The main goals of this methodology are:

  • Re-use of linked data publishing process
  • Completeness (of planning) necessary project skills
  • Documentation of essential tasks to help answering:
    • How long will it take to develop use cases with this platform
    • Necessary technical skills
  • Better estimation for future projects

The seven steps of the suggested Linked Data Publishing Methodology (LIDAPUME) are:

  • Stakeholder analysis
  • Requirements analysis
  • Use case development
  • Data identification
  • Data modeling
  • Transformation configuration
  • Data processing

It will take several iterations of discussion regarding the above-mentioned steps to achieve a final result for a particular application. At the moment, the developed methodology is tested in several projects regarding applicability. The feedback from the project participants can then be used to not only refine the methodology, but also – over time – to derive templates for particular application/data cases, which in turn will speed up the entire process and will provide better means of sustainability.

Presentation slides

Measuring the Promise of Open Data: Development of the Impact Monitoring Framework (Matthias Stürmer and Marcus M. Dapp)

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Currently, the movement of Open (Gov) Data is getting more and more momentum, which is reflected in the increasing numbers of open data portals. However, the overall status of Open Data has yet to be assessed, together with the actual impact that is created by publishing Open Data. At the moment, there exist no real systematic approaches to assess the before-mentioned impact, nor are there suitable tools available. There are already organisations working towards potential solutions regarding these issues such as the ODI, but this is more towards experts “personal” views. Coming from the other side of perspective, barcamps and hackathons are bringing together people and data, yet it is -again- hard to assess the exact impact of open data during these events. Also when taking a closer look at the Open Data and Open Source community, time and resources spend by the people involved are not or hardly available, as a lot of interaction happens on an anonymous basis. The overall question remains: were the people and the spend resources actually worth it?

The framework presented by Matthias Stürmer and Marcus M. Dapp builds upon the concept of Social Return on Investment (SROI), related towards the theory of change, which was adapted to represent a Theory of Change for Open Gov Data. 

The main steps of this framework include:

  • Input: all resources such as money, people equipment and facilities; native proprietary data;
  • Output: direct and tanglible deliverables
  • Outcome (Value chain): all direct and indirect consequences of reuse of open data
  • Impact: results that occur due to the release of open data

These steps are then combined with 14 high-value data categories from the G8 open data charter:

  1. Companies
  2. Crime and Justice
  3. Earth observation
  4. Education
  5. Energy and Environment
  6. Finances and contracts
  7. Geospatial
  8. Global development
  9. Government accountability and democracy
  10. Health
  11. Science and Research
  12. Statistics
  13. Social mobility and welfare
  14. Transport and Infrastructure

The resulting methodology can be used, e.g., for a retrospective analysis of open data activities. The derived knowledge and experience can then be used to develop a release plan for open data, predicting benefits and impacts from related actions. Furthermore, the presented framework can serve as a monitoring instance, which can show the impact caused over time. While the framework in its current state is not yet complete, the first conceptual steps are complete and the project can now proceed to the second phase, where it will be tested on real use-cases (finished projects) as well as on future endeavours in the realm of open data.

Presentation Slides

 

Wir wachsen und suchen Dich!

uncle_sam_28pointing_finger29Wir verstärken unser Team am Department für E-Governance in Wirtschaft und Verwaltung an der Fakultät für Wirtschaft und Globalisierung der Donau-Universität Krems. Hierfür suchen wir eine/n hochmotivierte/n wissenschaftliche/n MitarbeiterIn.

Der Aufgabenbereich für eine/n wissenschaftliche/n MitarbeiterIn umfasst die Zusammenarbeit an Informatik- und Sozialwissenschaftlichen Forschungsprojekten in multi- disziplinären Teams, die Betreuung von Studierenden bei ihrer Master-Arbeit, das Abhalten von Lehrveranstaltungen sowie die Unterstützung in administrativen Aufgaben. Darüberhinaus gehören die (Weiter-)Entwicklung von nationalen und europäischen Forschungsprojekten zu Deinen Aufgaben.

Die Stelle ist vorläufig auf 1 Jahr befristet (Ende 28.02.2017). Bei entsprechender Leistung und vorhandener Finanzierung ist eine Verlängerung möglich.

Geforderte Qualifikationen:

  • Masterabschluss und/oder Doktorat in Informatik (vorzugsweise in Wirtschafts-, Geo- oder Rechtsinformatik)
  • Die Fähigkeit gemeinsam in einem interdisziplinären Team aus InformatikerInnen, SozialwissenschaftlerInnen, RechtsexpertInnen und Administration arbeiten zu können

Gewünschte Qualifikationen:

  • Aktive Beteiligung an nationalen und europäischen Forschungsprojekten
  • Aktive Beteiligung an wissenschaftlichen Publikationen
  • Erfahrung in der Lehre und Betreuung von Studierenden
  • Praktische Erfahrungen in der Programmierung (z.B., Java, C#, Python, JS)
  • Kenntnisse in qualitativen und quantitativen Forschungsmethoden
  • Know-how im Design von Daten-Modellen und –Architekturen sowie bzgl. Governance-Frameworks
  • Reisebereitschaft
  • Exzellente Deutsch- und Englischkenntnisse

Vorläufiger Bewerbungsschluss ist der 31. März, 2016. Elektronische Bewerbungen werden bevorzugt. BewerberInnen werden gebeten, folgende Unterlagen mit dem Ausschreibungscode „1620_EGOV“ an die Personalabteilung der Donau-Universität Krems unter folgender Adresse zu schicken: “Personalabteilung der Donau-Universität Krems”, Dr.- Karl-Dorrek-Straße 30, A-3500 Krems, Katharina Markl unter katharina.markl@donau- uni.ac.at:

  • Aussagekräftiges Bewerbungsschreiben
  • Nachweis der Erfahrung und Qualifikation für die angestrebte Stelle
  • Angaben zur Lehr- und Forschungserfahrung (wenn vorhanden)
  • Lebenslauf (inkl. Publikationsliste, wenn vorhanden)

Empfehlungsschreiben sollten bei Anfrage bereitgestellt werden können. Menschen mit Behinderung, welche die geforderten Qualifikationskriterien erfüllen, werden ausdrücklich zur Bewerbung aufgefordert und besonders berücksichtigt.

Die Mindesteinstufung entsprechend der Dienst- und Besoldungsordnung der Donau- Universität Krems (W3/1) beträgt EUR 2.642,05 brutto für 38,5 Stunden/Woche.