Same objectives, different governance – How the Excellence Initiative and the Pact for Research and Innovation affect the German science system.
Möller, T. (2018).
Same objectives, different governance – How the Excellence Initiative and the Pact for Research and Innovation affect the German science system.
Journal for Research and Technology Policy Evaluation, 45, 4-8.
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EUROSTUDENT VI Overview and selected findings: Social and economic conditions of student life in Europe.
Hauschildt, K., Vögtle, E., & Gwosć, C. (2018).
EUROSTUDENT VI Overview and selected findings: Social and economic conditions of student life in Europe.
Bielefeld, Germany: W. Bertelsmann Verlag. https://doi.org/10.3278/104-274w
Abstract
This short report presents a condensed overview of the EUROSTUDENT Synopsis of Indicators - the central publication of the project and the result of the collaboration of a European-wide network including researchers, data collectors, representatives of national ministries, and other stakeholders. It comprises data from student surveys conducted in 28 countries in the European Higher Education Area during the sixth round of the EUROSTUDENT project.
This overview provides selected findings on topics such as characteristics of student populations, transition into and within higher education, study, working, and living conditions as well as international student mobility.
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Wissenschaft weltoffen kompakt 2018.
Deutscher Akademischer Austauschdienst & Deutsches Zentrum für Hochschul- und Wissenschaftsforschung (Hrsg.) - DZHW-Mitarbeiter(innen): Heublein, U., & Ebert, J. (2018).
Wissenschaft weltoffen kompakt 2018.
Daten und Fakten zur Internationalität von Studium und Forschung in Deutschland. Bielefeld: Bertelsmann.
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Der nachschulische Werdegang von Studienberechtigten - Ergebnisse des DZHW-Studienberechtigtenpanels.
Mentges, H., & Renneberg, A. (2018).
Der nachschulische Werdegang von Studienberechtigten - Ergebnisse des DZHW-Studienberechtigtenpanels.
In Bundesinstitut für Berufsbildung (Hrsg.), Datenreport zum Berufsbildungsbericht 2018. Informationen und Analysen zur Entwicklung der beruflichen Bildung (S. 256-263). Leverkusen: Verlag Barbara Budrich.
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Need for Support or Economic Competition? Implicit Associations with Immigrants during the 2015 Migrant Crisis.
Johann, D., & Thomas, K. (2018).
Need for Support or Economic Competition? Implicit Associations with Immigrants during the 2015 Migrant Crisis.
Research & Politics, 5(2).
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Data measurement in research information systems: metrics for the evaluation of data quality.
Azeroual, O., Saake, G., & Wastl, J. (2018).
Data measurement in research information systems: metrics for the evaluation of data quality.
Scientometrics, 4/2018, 1-20.
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The Effects of Using Business Intelligence Systems on an Excellence Management and Decision-Making Process by Start-up Companies: A Case Study.
Azeroual, O., & Theel, H. (2018).
The Effects of Using Business Intelligence Systems on an Excellence Management and Decision-Making Process by Start-up Companies: A Case Study.
International Journal of Management Science and Business Administration, 3/2018, 34-45.
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Ausstattungs-, Kosten- und Leistungsvergleich Universitäten 2016. Grunddatenbericht Europa-Universität Flensburg.
Deuse, C., & Jenkner, P. (2018).
Ausstattungs-, Kosten- und Leistungsvergleich Universitäten 2016. Grunddatenbericht Europa-Universität Flensburg.
Hannover: DZHW (nicht zur Veröffentlichung vorgesehen).
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Ausstattungs-, Kosten- und Leistungsvergleich Universitäten 2016. Grunddatenbericht Universität Lübeck.
Deuse, C., & Jenkner, P. (2018).
Ausstattungs-, Kosten- und Leistungsvergleich Universitäten 2016. Grunddatenbericht Universität Lübeck.
Hannover: DZHW (nicht zur Veröffentlichung vorgesehen).
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Analyzing data quality issues in research information systems via data profiling.
Azeroual, O., Saake, G., & Schallehn, E. (2018).
Analyzing data quality issues in research information systems via data profiling.
International Journal of Information Management, 4/2018, 50-56. https://doi.org/10.1016/j.ijinfomgt.2018.02.007
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Karriere mit Promotion. Zur Situation Promovierter innerhalb und außerhalb der Wissenschaft.
Briedis, K. (2018).
Karriere mit Promotion. Zur Situation Promovierter innerhalb und außerhalb der Wissenschaft.
Forschung und Lehre 25(4), 306-307.
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Funding model and creativity in science: Competitive versus block funding and status contingency effects.
Wang, J., Lee, Y., & Walsh, J. P. (2018).
Funding model and creativity in science: Competitive versus block funding and status contingency effects.
Research Policy, 47(6), 1070-1083. https://doi.org/10.1016/j.respol.2018.03.014
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Ausmaß, Entwicklung und Ursachen sozialer Ungleichheit beim Promotionszugang zwischen 1989-2009.
Jaksztat, S., & Lörz, M. (2018).
Ausmaß, Entwicklung und Ursachen sozialer Ungleichheit beim Promotionszugang zwischen 1989-2009.
Zeitschrift für Soziologie 47 (1), 46-64. https://doi.org/10.1515/zfsoz-2018-1003
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Excellence and Frontier Research as Travelling Concepts in Science Policymaking.
Flink, T., & Peter, T. (2018).
Excellence and Frontier Research as Travelling Concepts in Science Policymaking.
Minerva, 56(4), 431-452. https://doi.org/10.1007/s11024-018-9351-7
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A conceptual framework for clone detection using machine learning.
Ghofrani, J., Mohseni M., & Bozorgmehr, A. (2018).
A conceptual framework for clone detection using machine learning.
2017 IEEE 4th International Conference on Knowledge-Based Engineering and Innovation (KBEI). http://dx.doi.org/10.1109/KBEI.2017.8324908
Abstract
Code clones can happen in any software project. One of the challenges is that, code clones come in various forms which makes them hard to detect using standard templates. Due to this variety in structure and form of semantically similar clones, machine learning techniques are required to detect them. Recently in many domains, e.g., natural language processing, deep neural networks drew a lot of attention due to their accuracy. In this paper, we exploit the results of some convolutional neural networks for code summarization to find the code clones. We use the generated descriptions for two code snippets as a metric to measure the similarities between them. We propose a vector similarity measure to calculate a similarity indicator between th
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