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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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.
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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.
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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, 46–64.
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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.
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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).
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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Portfolio Evaluation FWF International Programmes. Final report.
Degelsegger-Marquéz, A., Wagner, I., Kroop, S., Rigby, J., Cox, D., Hinze, S., ... & Adams, J. (2018).
Portfolio Evaluation FWF International Programmes. Final report.
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New Evidence on the Effects of the Shortened School Duration in the German States: An Evaluation of Postsecondary Education Decisions.
Meyer, T., Thomson, S. L., & Schneider, H. (2018).
New Evidence on the Effects of the Shortened School Duration in the German States: An Evaluation of Postsecondary Education Decisions.
German Economic Review, Early View.
Abstract
Most German states have recently reduced the duration of university preparatory schooling from 13 to 12 years without changing the graduation requirements. We use nationwide data on high school graduates and the different timing of reform introduction in the federal states to identify the effects on post‐secondary education decisions and to evaluate potential effect mechanisms. The results show that university enrolment of female students decreased in the first year after graduation in all analyzed states, whereas participation in voluntary service or staying abroad increased. Furthermore, students from non‐academic families are more affected than students from an academic family background
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A conceptual framework for studying science research careers.
Cañibano, C., Woolley, R., Iversen, E. J., Hinze, S., Hornbostel, S., & Tesch, J. (2018).
A conceptual framework for studying science research careers.
The Journal of Technology Transfer. Advance online publication.
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EUROSTUDENT VI Synopsis of Indicators: Social and Economic Conditions of Student Life in Europe.
DZHW (Hrsg.), Hauschildt, K., Vögtle, E., Gwosć, C. (2018).
EUROSTUDENT VI Synopsis of Indicators: Social and Economic Conditions of Student Life in Europe.
EUROSTUDENT VI Synopsis of Indicators. Hannover: DZHW.
ISBN 978-3-7639-5913-6
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Die wirtschaftliche und soziale Lage der Studierenden in Potsdam 2016. Regionalauswertung der 21. Sozialerhebung durchgeführt vom DZHW für das Studentenwerk Potsdam.
Schirmer (2018).
Die wirtschaftliche und soziale Lage der Studierenden in Potsdam 2016. Regionalauswertung der 21. Sozialerhebung durchgeführt vom DZHW für das Studentenwerk Potsdam.
Potsdam: Studentenwerk Potsdam.
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Bildung und Qualifikation als Grundlage der technologischen Leistungsfähigkeit Deutschlands 2018.
Gehrke, B., & Kerst, C. (2018).
Bildung und Qualifikation als Grundlage der technologischen Leistungsfähigkeit Deutschlands 2018.
Studien zum deutschen Innovationssystem, Nr. 1-2018. Berlin: EFI.
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Wer nimmt ein duales Studium auf? Ergebnisse einer Befragung von Studienberechtigten des Schulabschlussjahrgangs 2015.
Woisch, A., Renneberg, A., Mentges, H. (2018).
Wer nimmt ein duales Studium auf? Ergebnisse einer Befragung von Studienberechtigten des Schulabschlussjahrgangs 2015.
(DZHW Brief 2|2018). Hannover: DZHW.
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