News

BERD@NFDI Scholarship Recipients: Nino Petriashvili

Nini Petriashvili, comes from Georgia, Tbilisi and is currently pursuing a Master’s degree in Political Science from the University of Manheim. She is a junior researcher at MZES, The Mannheim Center for European Social Research, where she examines East-West migration,
as well as the economic consequences and attitudes towards migrants. Before coming to Mannheim, she completed a master’s degree in political science at the CEU, Central European University, in Budapest. In terms of content, she is interested in political communication and election studies, how politicians use social media to influence voters and what effects fake news has on discourse With the GESIS summer school course “Data Science Techniques for Survey Researchers” she was able to acquire skills to be able to carry out her research on the topics successfully. Being particularly interested in text analysis and tools for scraping and analyzing big data, the course offered her the opportunity to improve her understanding and develop her practical skills.

Nino Petriashvili
Nino Petriashvili



Studentische Hilfskräfte (m/w/d) gesucht

Die Universitätsbibliothek Mannheim sucht zum 1. November 2022 studentische Hilfskräfte für die Mitarbeit in einem DFG-Forschungsprojekt.

BERD@NFDI ist ein Konsortium zum Aufbau einer leistungsstarken Plattform für die Sammlung, Verarbeitung, Analyse und Aufbewahrung von Unternehmens- und Wirtschaftsdaten und Teil der Nationalen Forschungsdateninfrastruktur (NFDI). Sie interessieren sich für Projektmanagement oder für Fragestellungen rund um Teaching und Education und haben Lust, in einem innovativen DFG-Projekt mitzuarbeiten? Dann bewerben Sie sich bis zum 21. September 2022!

Weitere Informationen entnehmen Sie bitte den Stellenausschreibungen:

Stellenausschreibung Projektmanagement (PDF, 311 KB)

Stellenausschreibung Teaching & Education (PDF, 316 KB)

Wir freuen uns auf Ihre Bewerbung!

Bitte beachten Sie, dass Gefährdungen der Vertraulichkeit und der unbefugte Zugriff Dritter bei einer Kommunikation per unverschlüsselter E-Mail nicht ausgeschlossen werden können.

BERD@NFDI Scholarship Recipients: Anja Heine

Anja Heine is an employee in a governmental statistics department and a part-time student at FernUniversität in Hagen, where she is pursuing a master’s degree in Political Science. She enjoys working with all kinds of data day to day and is very thankful to be provided with the opportunity to join GESIS Summerschool course Data Science Techniques for Survey Researchers funded by BERD@NFDI. She is happy to apply this course’s takeaways to a small-scale research project for her master thesis.

Anja Heine

BERD@NFDI Scholarship Recipients: Berfin Çakın

Berfin Çakın is a PhD candidate at the Faculty of Political Sciences, Istanbul Medeniyet University. She was a visiting doctoral student at Radboud University Nijmegen in the Netherlands. Her research interests lie in the fields of emotions, ontological insecurity and equality issues. She is currently working on her doctoral thesis entitled “Ontological Insecurities and Gendered Political Space in Malaysia and Turkey”. Her work has been published in the Journals Democratization, Political Studies Review, and Politics and the Life Science. She is highly motivated in the Data Science Techniques for Survey Researchers course gain hands-on experience with R+ to support their research on emotions versus gender politics and Methodologically optimize attitudes towards gender equality.

Berfin Çakın

BERD@NFDI Scholarship Recipients: Enshuai Yu

As PhD student in Accounting at Carroll School of Management at Boston College, United States he focusses on Corporate Disclosure, Information Intermediaries (Analysts, Media), Corporate Governance, and Managerial Incentives. In his studies, he is interested in using data science techniques such as machine learning and textual analysis to help generate new insights from unstructured data. He is very pleased to learn and enhance his skills in data acquisition, cleaning, and analyzing.

Enshuai Yu

BERD@NFDI Scholarship Recipients: Hafsteinn Einarsson

As postgraduate research student at the Department of Social Statistics of the University of Manchester he is pursuing a PhD in Social Statistics focuding on collecting representative survey data. In his studies, as well as in his prior work as a project manager, he became increasingly aware of the possibilities of using data science techniques to improve survey outcomes. He believes there is great potential in informing survey decisions through these methods but he mentiones that finding a course which systematically applies these techniques to survey research in particular is not easy. Therfor he is greatly appreciate being able to participate in the course Data Science Techniques for Survey Researchers and believes the instruction provides him with helpful information for his current projects and his future work.

Hafsteinn Einarsson

GESIS Summer School 2022 scholarship holders funded by BERND@NFDI

For the first time, international students could apply for a BERD@NFDI scholarship to participate in the online course “Data Science Techniques for Survey Researchers” of the GESIS Summer School in Survey Methodology 2022.

The objective of the course is to provide the participants with a state of the art understanding of important methods from the data science toolkit for collection and analysis in order to be able to apply these methods and techniques in their own research. Further details on the course program can be found here.

What is the ZBW’s contribution to BERD@NFDI?

ZBW, Zentralbibliothek für Wirtschaftswissenschaften / Leibniz-Informationszentrum Wirtschaft, is one of the information and IT infrastructure partners in BERD@NFDI. In its Open Science Magazine, the ZBW gives a brief overview of its contribution to the BERD consortium: https://open-science-future.zbw.eu/en/all-about-national-research-data-infrastructure-nfdi-2/

For more technical insights watch out the NFDI InfraTalk series on Monday, December 5th, 2022 on “Commercial cloud solutions for non-commercial RDM”.