Blog


    Towards a multicentric quality framework for legal information portals: An application to the DACH region
    Article in Government Information Quarterly (GIQ).

    Legal Information Portals (LIPs) are central information offerings that give various user groups digital access to the law, including legislation, legal acts, or even court decisions. LIPs could provide access to complex legal content in a user-friendly yet accurate way, while exploiting the benefits of open data to enable easy access to legal content for other applications. However, the development of LIPs traditionally adheres to formal legal criteria, leaving users out in the cold. As a result, even the most modern LIPs fall short of providing a user-centric offering. To address this issue, we present a multicentric quality framework to help providers develop and evaluate LIPs by assessing their data quality, data portability, and usability. We apply the framework to the LIPs of Germany, Austria, and Switzerland (the DACH region: D: Deutschland [Germany], A: Austria, CH: Confoederatio Helvetica [Switzerland]) to illustrate its use and identify quality differences between their current systems. Our quality framework for LIPs helps decision-makers better understand and exploit the possibilities for the dissemination of legal information as part of their open justice initiatives. We contribute to the literature by complementing previous conceptual works with a concrete, comprehensive measurement schema that also serves as a basis for assessing user requirements and data portability configurations in other domains with high content complexity.

    Matt, C.; Eichel, F.; Bieri, M.; Pfäffli, D. (2023): Towards a multicentric quality framework for legal information portals: An application to the DACH region, Government Information Quarterly, 40(4), 101840 (DOI: 10.1016/j.giq.2023.101840).

    Putting Home Economics into Macroeconomics
    This package implements the RBC model of Greenwood et al. (1993) with Matlab and Dynare.

    Households spend approximately a quarter of their day working at home and thereby amounting to 20-50 percent of GNP. Therefore, by incorporating home pro- duction into a standard real business cycle (RBC) model Greenwood et al. (1993) can more accurately reproduce key macroeconomic characteristics, such as volatility, of the U.S. economy between 1947 and 1987. Find the code on GitHub and the outputs of the simulations here.

    Shelving or developing?
    This package implements the models of Fumagalli et al. (2020).

    With respect to traditional mergers, killer acquisitions trigger a new trade-off. On the one hand, the acquirer may decide to shelve the project of the potential entrant. On the other hand, the acquisition may allow for the development of a project that would otherwise never reach the market. Find an interactive visualization of the implementation on here.

    Rechtsinformationsportale und die digitale Bekanntgabe von Gesetzen
    Artikel in der JuristenZeitung (JZ).

    In Österreich und der Schweiz werden Gesetze schon lange im Internet bekannt gemacht. In Deutschland ist zu hoffen, dass die »eVerkündung« bald in Betrieb gehen kann. Die Zugänglichkeit von Informationen und die Informationsgewohnheiten der Bürger – beides Faktoren für die rechtswirksame Bekanntgabe von Gesetzen – haben sich im Zuge der Digitalisierung nämlich gewandelt. Dieser Wandel hat »Rechtsinformationsportale« hervorgebracht, die neue Möglichkeiten für die Rechtsanwendung eröffnen. Der Beitrag will dieses Phänomen aus interdisziplinärer und internationaler Perspektive beleuchten.

    Eichel, F.; Matt, C.; Pfäffli, D.; Bieri, M. (2022): Rechtsinformationsportale und die digitale Bekanntgabe von Gesetzen, JuristenZeitung, 77(13), pp. 639–648 (DOI: 10.1628/jz-2022-0218).

    Copying, acquisition and start-ups direction of innovation
    This package implements the models of Shelegia and Motta (2021).

    The models in Shelegia and Motta (2021) try to rationalize the so-called “Kill-Zone” for startup innovations. If you are interested in this topic have a look into the repository. The implementation was mentioned as well on Twitter (currently unavailable). Find an exemplary jupyter notebook about the paper on here.

    SBB-Opendata-Visualization
    Visualization of the delay for train connections of the SBB.

    During the course Opendata we developed a visualization to compare the delay of a SBB - connection to its rolling stock or the weather during the connection. Find the demo of the visualization under this link.