MIL OSI Translation. Region: Germany / Deutschland –
Source: Destatis Federal Statistical Office
Outstanding scientific work related to official statistics is awarded
Press release No. 463 from November 20, 2020
WIESBADEN – The Federal Statistical Office (Destatis) awarded the Gerhard Fürst Prize to four outstanding scientific works on November 19, 2020. Two works were awarded in the “Dissertation” category and two in the “Master / Bachelor thesis” category. With the prize, which has been awarded since 1999, the Federal Statistical Office honors outstanding scientific work that is closely related to official statistics.
Dr. Jonas Klingwort was awarded for his work at the University of Duisburg-Essen with Prof. Dr. Rainer Schnell’s dissertation on “Correcting Survey Measurement Error With Big Data from Road Sensors Through Capture-recapture” was awarded. The experts considered the theoretical foundation and first-time use of street sensor data to correct survey data to be particularly worthy of funding.
Prof. Dr. Natalia Rojas-Perilla was honored for her dissertation “The use of data-driven transformations and their applicability in small area estimation”. Your research area in the field of analysis of methods of the small-area procedure is of great practical relevance for statistical offices. The work was done at the Free University of Berlin with Prof. Dr. Timo Schmid.
Daniel Haake was honored for his master’s thesis on the topic of “Predicting break-ins with the help of machine learning algorithms”. This work shows that with the probability approach on which the work is based, future break-ins can be forecast within a shorter period of time. This represents a significant improvement over current approaches. He wrote his thesis at the Albstadt-Sigmaringen University of Applied Sciences with Prof. Dr. Andreas Knoblauch.
Jannik Schaller received the Gerhard Fürst Prize for his master’s thesis “Data fusion of EU-SILC and HBS: Comparison between Random Hot-Deck and Predictive Mean Matching in a simulation study”. With the optimized data fusion process used in the thesis, the information content of the merged data files could be significantly improved. The work was done by Prof. Dr. Martin Messingschlager at the Otto Friedrich University in Bamberg.
Both the theses in the “Dissertations” category and those in the “Master’s / Bachelor theses” category were considered by the expert panel of the Gerhard Fürst Prize to be equally outstanding and worthy of prizes.
The Federal Statistical Office carries out the awards on the recommendation of an independent panel of experts. Due to the corona pandemic, the award ceremony could only take place virtually this year. For the Federal Statistical Office, Dr. Daniel Vorgrimler, Head of the “Strategy and Planning, International Relations, Research and Communication” department, presented the award winner and the award winners with their certificates. The laudations for the award-winning work were given by the chairman of the panel of experts, Professor Dr. Walter Krämer (Technical University of Dortmund). In 2021, the award winners will report in detail on their work in the “WISTA – Wirtschaft und Statistics” magazine of the Federal Statistical Office.
The abstracts of the award-winning work as well as further details on the award of the Gerhard Fürst Prize are in the Internet offer of the Federal Statistical Office.
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EDITOR’S NOTE: This article is a translation. Apologies should the grammar and / or sentence structure not be perfect.