The Digital Services Act (DSA) is the most ambitious effort taken by liberal democratic nations to regulate social media platforms. One of the main ways it does this is by establishing various transparency obligations applicable to all platforms and search engines, as well as a specific...

The Digital Services Act (DSA) is the most ambitious effort taken by liberal democratic nations to regulate social media platforms. One of the main ways it does this is by establishing various transparency obligations applicable to all platforms and search engines, as well as a specific...

Das FDZ Ruhr am RWI stellt Preisindizes für Wohnungen und Häuser (Vermietung und Verkauf) in Deutschland ab dem Jahr 2008 zur Verfügung. Die Preisindizes basieren auf dem Immobiliendatensatz RWI-GEO-RED, der Immobilienangebote von ImmoScout24 zusammenfasst. Wir führen drei Arten von...

The FDZ Ruhr provides a dataset on commercial real estate advertisements in Germany, drawing from information obtained from the internet platform ImmoScout24. The dataset encompasses a wide range of real estate types, including but not limited to offices, retail, and hotels. It is important to...

The FDZ Ruhr provides a dataset on commercial real estate advertisements in Germany, drawing from information obtained from the internet platform ImmoScout24. The dataset encompasses a wide range of real estate types, including but not limited to offices, retail, and hotels. It is important to...

Das FDZ Ruhr stellt einen Datensatz zu gewerblichen Immobilienanzeigen in Deutschland zur Verfügung, der auf Informationen der Internetplattform ImmoScout24 beruht. Der Datensatz umfasst ein breites Spektrum an Immobilienarten, unter anderem Büros, Einzelhandel und Hotels. Es ist wichtig zu...

Despite its growing success, open banking (OB) struggles to present a coherent identity. Indeed, despite its widespread adoption around the world, various models can be identified based on rationales, the nature of data-sharing obligations, and the standardisation process. Against this...

Artificial intelligence has evolved from early concepts like Turing's machine to today's advanced vision, machine learning and neural networks. AI revolutionizes various industries: manufacturing processes, financial services, healthcare and energy management. These applications highlight AI's...

Most political systems consist of multiple layers. Yet datasets are predominantly situated at a single territorial tier, encouraging methodological nationalism, regionalism, and localism. We present three new integrated datasets that include electoral, institutional, ideological, and government...

Leveraging data is becoming increasingly important for businesses. However, this transformation can be complex, as it requires a vast array of social and technical capabilities. To generate consensus in this domain, this study examines data & analytics maturity models by analyzing their...

The growing relevance of artificial intelligence (AI) and data in digital platform ecosystems shapes value creation, recently discussed by scholars as data network effects. Complementors significantly contribute to the value that consumers derive from a platform through its offerings. The...

In this article, the authors identify and explore the phenomenon of consumer cyborgification and ask what the legal and ethical implications of this emerging trend are. They consider whether fundamental legal principles, concepts, and assumptions in various EU acts and directives are adequate to...

This paper investigates whether investments in data affect firms' R&D and whether the two are productivity-enhancing complements. We conceptualise and test whether investments in data reduce market uncertainty, thereby mitigating the inherent uncertainty of R&D and enhancing research and...

Macroeconomic data releases are very important benchmarks of the economy. Therefore, the vast majority of financial market analysts and traders closely monitor both the projected estimates and, the intuitively more impactful actual values. In this research, we focus on the uncertainty associated...

The COVID-19 pandemic exposed significant weaknesses in Germany's ability to generate timely, equity-sensitive evidence at the household level. While national surveillance systems produced daily counts of confirmed cases, hospitalisations, and deaths, they offered little insight into the social...

Despite its growing success, open banking (OB) struggles to present a coherent identity. Indeed, despite its widespread adoption around the world, various models can be identified based on rationales, the nature of data-sharing obligations, and the standardisation process. Against this...

This paper investigates whether investments in data affect firms’ R&D and whether the two are productivity-enhancing complements. We conceptualise and test whether investments in data reduce market uncertainty, thereby mitigating the inherent uncertainty of R&D and enhancing research and...

Leveraging data is becoming increasingly important for businesses. However, this transformation can be complex, as it requires a vast array of social and technical capabilities. To generate consensus in this domain, this study examines data & analytics maturity models by analyzing their...

This research note presents an open-source version of the ParlGov website and discusses the state of cross-national data on parties, elections, and cabinets. The ParlGov project is a prominent political science data infrastructure with information for EU and OECD democracies since 1900. The data...

4 Preliminary concepts on quantitative risk measurement 1.1 Risk measurement - Theory 1.1.1 First de_nitions 1.1.2 Properties for risk measures 1.2 Risk measurement - Practice 1.2.1 `Liability side' versus `asset side' perspectives 1.2.2 Some misunderstandings to be avoided in practice 1.3...

Algorithm- and data-based recommendation systems (DARS) have become a central component of the digital economy, shaping how users access, evaluate, and consume information and goods. These systems encompass both search rankings tailored to estimated user preferences and direct recommendations...

Algorithm- and data-based recommendation systems (DARS) have become a central component of the digital economy, shaping how users access, evaluate, and consume information and goods. These systems encompass both search rankings tailored to estimated user preferences and direct recommendations...

Das Wärme- und Wohnen-Panel ist eine jährliche Befragungsreihe zur Wärmewende mit rund 15.000 teilnehmenden Haushalten in Deutschland. Die Befragung, die im Rahmen des vom Bundesministerium für Bildung und Forschung (BMBF) geförderten Kopernikus-Projekts Ariadne (siehe...

Das FDZ Ruhr am RWI stellt Preisindizes für Wohnungen und Häuser (Vermietung und Verkauf) in Deutschland ab dem Jahr 2008 zur Verfügung. Die Preisindizes basieren auf dem Immobiliendatensatz RWI-GEO-RED, der Immobilienangebote von ImmoScout24 zusammenfasst. Wir führen drei Arten von...

In this work, we problematize the issue of the statistical visibility of the trans population in the federal government's databases and administrative records. To the extent that it is represented through informational traces or vestiges, this segment encounters problems about population...

In this work, we problematize the issue of the statistical visibility of the trans population in the federal government's databases and administrative records. To the extent that it is represented through informational traces or vestiges, this segment encounters problems about population...