@incollection{QuitzowBersalliLilliestametal.2023,
  author    = {Quitzow, Rainer and Bersalli, Germ{\´a}n and Lilliestam, Johan and Prontera, Andrea},
  title     = {Green recovery},
  series = {Handbook on European Union Climate Change Policy and Politics},
  booktitle = {Handbook on European Union Climate Change Policy and Politics},
  editor    = {Rayner, Tim and Szulecki, Kacper and Jordan, Andrew J. and Oberth{\"u}r, Sebastian},
  publisher = {Edward Elgar Publishing},
  isbn      = {978-1-78990-698-1},
  doi       = {10.4337/9781789906981.00039},
  pages     = {351 -- 366},
  year      = {2023},
  abstract  = {This chapter reviews how the European Union has fared in enabling a green recovery in the aftermath of the Covid-19 crisis, drawing comparisons to developments after the financial crisis. The chapter focuses on the European Commission and its evolving role in promoting decarbonisation efforts in its Member States, paying particular attention to its role in financing investments in low-carbon assets. It considers both the direct effects of green stimulus policies on decarbonisation in the EU and how these actions have shaped the capacities of the Commission as an actor in the field of climate and energy policy. The analysis reveals a significant expansion of the Commission's role compared to the period following the financial crisis. EU-level measures have provided incentives for Member States to direct large volumes of financing towards investments in climate-friendly assets. Nevertheless, the ultimate impact will largely be shaped by implementation at the national level.},
  language  = {en}
}
@book{MeinelGalbasHageboelling2023,
  author    = {Meinel, Christoph and Galbas, Michael and Hageb{\"o}lling, David},
  title     = {Digitale Souver{\"a}nit{\"a}t: Erkenntnisse aus dem deutschen Bildungssektor},
  number    = {156},
  publisher = {Universit{\"a}tsverlag Potsdam},
  address   = {Potsdam},
  isbn      = {978-3-86956-560-6},
  issn      = {1613-5652},
  doi       = {10.25932/publishup-59513},
  url       = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus4-595138},
  publisher      = {Universit{\"a}t Potsdam},
  pages     = {1 -- 29},
  year      = {2023},
  abstract  = {Digitale Technologien bieten erhebliche politische, wirtschaftliche und gesellschaftliche Chancen. Zugleich ist der Begriff digitale Souver{\"a}nit{\"a}t zu einem Leitmotiv im deutschen Diskurs {\"u}ber digitale Technologien geworden: das heißt, die F{\"a}higkeit des Staates, seine Verantwortung wahrzunehmen und die Bef{\"a}higung der Gesellschaft - und des Einzelnen - sicherzustellen, die digitale Transformation selbstbestimmt zu gestalten. Exemplarisch f{\"u}r die Herausforderung in Deutschland und Europa, die Vorteile digitaler Technologien zu nutzen und gleichzeitig Souver{\"a}nit{\"a}tsbedenken zu ber{\"u}cksichtigen, steht der Bildungssektor. Er umfasst Bildung als zentrales {\"o}ffentliches Gut, ein schnell aufkommendes Gesch{\"a}ftsfeld und wachsende Best{\"a}nde an hochsensiblen personenbezogenen Daten. Davon ausgehend beschreibt der Bericht Wege zur Entsch{\"a}rfung des Spannungsverh{\"a}ltnisses zwischen Digitalisierung und Souver{\"a}nit{\"a}t auf drei verschiedenen Ebenen - Staat, Wirtschaft und Individuum - anhand konkreter technischer Projekte im Bildungsbereich: die HPI Schul-Cloud (staatliche Souver{\"a}nit{\"a}t), die MERLOT-Datenr{\"a}ume (wirtschaftliche Souver{\"a}nit{\"a}t) und die openHPI-Plattform (individuelle Souver{\"a}nit{\"a}t).},
  language  = {de}
}
@book{MeinelGalbasHageboelling2023,
  author    = {Meinel, Christoph and Galbas, Michael and Hageb{\"o}lling, David},
  title     = {Digital sovereignty: insights from Germany's education sector},
  number    = {157},
  publisher = {Universit{\"a}tsverlag Potsdam},
  address   = {Potsdam},
  isbn      = {978-3-86956-561-3},
  issn      = {1613-5652},
  doi       = {10.25932/publishup-59772},
  url       = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus4-597723},
  publisher      = {Universit{\"a}t Potsdam},
  pages     = {1 -- 27},
  year      = {2023},
  abstract  = {Digital technology offers significant political, economic, and societal opportunities. At the same time, the notion of digital sovereignty has become a leitmotif in German discourse: the state's capacity to assume its responsibilities and safeguard society's - and individuals' - ability to shape the digital transformation in a self-determined way. The education sector is exemplary for the challenge faced by Germany, and indeed Europe, of harnessing the benefits of digital technology while navigating concerns around sovereignty. It encompasses education as a core public good, a rapidly growing field of business, and growing pools of highly sensitive personal data. The report describes pathways to mitigating the tension between digitalization and sovereignty at three different levels - state, economy, and individual - through the lens of concrete technical projects in the education sector: the HPI Schul-Cloud (state sovereignty), the MERLOT data spaces (economic sovereignty), and the openHPI platform (individual sovereignty).},
  language  = {en}
}
@article{SohstAcostamadiedoTjaden2023,
  author    = {Sohst, Rhea Ravenna and Acostamadiedo, Eduardo and Tjaden, Jasper},
  title     = {Reducing uncertainty in Delphi surveys},
  series = {Demographic research},
  volume    = {49},
  journal   = {Demographic research},
  publisher = {Max Planck Inst. for Demographic Research},
  address   = {Rostock},
  issn      = {2363-7064},
  doi       = {10.4054/DemRes.2023.49.36},
  pages     = {983 -- 1020},
  year      = {2023},
  abstract  = {Background: Following the rapid increase of asylum seekers arriving in the European Union in 2015/16, policymakers have invested heavily in improving their foresight and forecasting capabilities. A common method to elicit expert predictions are Delphi surveys. This approach has attracted concern in the literature, given the high uncertainty in experts' predictions. However, there exists limited guidance on specific design choices for future-related Delphi surveys. Objective: We test whether or not small adjustments to the Delphi survey can increase certainty (i.e., reduce variation) in expert predictions on immigration to the EU in 2030. Methods: Based on a two-round Delphi survey with 178 migration experts, we compare variation and subjective confidence in expert predictions and assess whether additional context information (type of migration flow, sociopolitical context) promotes convergence among experts (i.e., less variation) and confidence in their own estimates. Results: We find that additional context information does not reduce variation and does not increase confidence in expert predictions on migration. Conclusions: The results reaffirm recent concerns regarding the limited scope for reducing uncertainty by manipulating the survey setup. Persistent uncertainty may be a result of the complexity of migration processes and limited agreement among migration experts regarding key drivers. Contribution: We caution policymakers and academics on the use of Delphi surveys for eliciting expert predictions on immigration, even when conducted based on a large pool of experts and using specific scenarios. The potential of alternative approaches such as prediction markets should be further explored.},
  language  = {en}
}