Christian P. Geiger

Bio: Christian P. Geiger is an academic researcher from Zeppelin University. The author has contributed to research in topics: Public sector & Public interest. The author has an hindex of 2, co-authored 4 publications receiving 85 citations.

Open Government and (Linked) (Open) (Government) (Data)

Abstract: This article explores the opening and the free usage of stored public sector data, supplied by state. In the age of Open Government and Open Data it’s not enough just to put data online. It should be rather weighed out whether, how and which supplied public sector data can be published. Open Data are defined as stored data which could be made accessible in a public interest without any restrictions for usage and distribution. These Open Data can possibly be statistics, geo data, maps, plans, environmental data and weather data in addition to materials of the parliaments, ministries and authorities. The preparation and the free access to existing data permit varied approaches to the reuse of data, discussed in the article. In addition, impulses can be given for Open Government – the opening of state and administration, to more transparency, participation and collaboration as well as to innovation and business development. The Open Data movement tries to get to the bottom of current publication processes in the public sector which could be formed even more friendly to citizens and enterprises.

Munich Open Government Day — bürgerschaftliches Engagement im Web 2.0

Abstract: Mit dem »Web 2.0« wird »Open Government« als politisches und gesellschaftliches Paradigma ermoglicht. Ziele sind eine neue Transparenz des Staates und innovative Formen der Burgerbeteiligung bis zur Einbindung des Burgers in die kooperative Erbringung ehemals staatlicher Leistungen. Voraussetzungen dieser Zusammenarbeit sind eine Offnung von Staat und Verwaltung, der konstruktive Dialog und die Moglichkeit der maschinellen Nutzung frei verfugbarer offentlicher Daten. Am Pilotprojekt »Munich Open Government Day« werden Herausforderungen, Losungsansatze und Standardisierungsvarianten illustriert.

Bürger.Macht.Staat Integration von Bürgern und Gesellschaft in den Staat

Abstract: 11. April 2020. 06:15 Uhr. Franz steht mude am Bahnsteig. Er pendelt. Jeden Tag. Mit dem Zug. Einfache Strecke Stuttgart – Ulm. 28 Minuten benotigt er. Fruher waren es noch 54 Minuten. Das Gedrange am Bahnsteig ist weniger geworden. Es ist dem neu eroffneten Bahnhof geschuldet. Stuttgart 21. Seine Frau hat ihm geraten, eines der neuen Elektroautos zu kaufen. Franz wohnt im Stadtkern von Stuttgart. Neues Rosensteinviertel. Kaum Parkplatze

Gedanken zur Überwindung von Distanzen durch Open Government: Wenn Bürger und Staat auf Augenhöhe kommunizieren und handeln

Abstract: Die derzeitige globale Finanz- und Wirtschaftskrise fuhrt zu nachhaltigen Veranderungen. Politik und Verwaltung stosen an ihre finanziellen Grenzen. Es wurden Schulden angehauft, die den Handlungsspielraum fur nachfolgende Generationen erheblich einschranken.

Innovation with open data: Essential elements of open data ecosystems

Abstract: Open data ecosystems are expected to bring many advantages, such as stimulating citizen participation and innovation. However, scant attention has been given to what constitutes an open data ecosystem. The objective of this paper is to provide an overview of essential elements of open data ecosystems for enabling easy publication and use of open data. To achieve this objective, the literature has been reviewed and a scenario about the publication and use of open data has been analyzed. It was found that various applications, tools and portals are available which together can form an ecosystem. The best functionalities of this ecosystem can be selected and utilized by open data providers and users. To create an open data ecosystem at least four key elements should be captured, namely, 1) releasing and publishing open data on the internet, 2) searching, finding, evaluating and viewing data and their related licenses, 3) cleansing, analyzing, enriching, combining, linking and visualizing data and 4) interpreting and discussing data and providing feedback to the data provider and other stakeholders. Furthermore, to integrate the ecosystem elements and to let them act as an integrated whole, there should be three additional elements 5) user pathways showing directions for how open data can be used, 6) a quality management system and 7) different types of metadata to be able to connect the elements.

Open Government: Origin, Development, and Conceptual Perspectives

Abstract: The term “open government” is frequently used in practice and science. Since President Obama’s Memorandum for the Heads of Executive Departments and Agencies in March 2009, open government has attracted an enormous amount of public attention. It is applied by authors from diverse areas, leading to a very heterogeneous comprehension of the concept. Against this background, this article screens the current open government literature to deduce an integrative definition of open government. Furthermore, this article analyzes the empirical and conceptual literature of open government to deduce an open government framework. In general, this article provides a clear understanding of the open government concept.

Is the demographic dividend an education dividend

Abstract: The effect of changes in age structure on economic growth has been widely studied in the demography and population economics literature. The beneficial effect of changes in age structure after a decrease in fertility has become known as the "demographic dividend." In this article, we reassess the empirical evidence on the associations among economic growth, changes in age structure, labor force participation, and educational attainment. Using a global panel of countries, we find that after the effect of human capital dynamics is controlled for, no evidence exists that changes in age structure affect labor productivity. Our results imply that improvements in educational attainment are the key to explaining productivity and income growth and that a substantial portion of the demographic dividend is an education dividend.

Special issue on innovation through open data: a review of the state-of-the-art and an emerging research agenda: guest editors' introduction

Abstract: For decades good governance scholarship has focused attention on the importance of government openness [26], [34]. Since the 1960s, Freedom of Information (FOI) legislation has formed the backbone of institutional support for opening information and documents [76] and participatory processes [4], [79]. However, FOI represents a passive approach to releasing information. Persons or organizations must still request the information they want, referred to casually, as freedom of information requests. Since the 1990s, publishing documents on websites or using communication technologies to engage citizens in participation processes has signaled a more proactive approach to releasing government information and political engagement. Since 2003, governments have re-envisioned their passive and proactive approaches to include an open data agenda, [18], [62], where publishing documents and data in open formats, [35], [63] is the preferred way. Collectively, these developments have forged the basis for what has been commonly referred to as the open government and data movements [30]. Open data practices and policies are praised for their potential to generate public value, particularly through innovation, economic growth, and transparency, [5], [9], [18], [21], [81]. The nature and character of open data has been hailed for its innovative capacity and transformative power [19], [35], [40], [45], [80]. Various studies have confirmed that proactively releasing public and private data in open formats creates considerable benefits for citizens, researchers, companies and other stakeholders, such as business creation or having the ability to understand public or private problems in new ways through advanced data analytics, [5], [9], [18], [21], [81]. Only a handful of articles examine both the unintended consequences and negative side effects of opening data, [33] and the underlying causal mechanisms that actually lead to the desired open data benefits [5]. Open data research is still in its infancy, and as a result, the extant literature uses limited application and development of theory toward understanding the open data phenomenon. While scholars acknowledge diverse perspectives, it is not clear which theories are most relevant, nor whether a single or integrated theory is needed. This special issue is part of a series of two special issues about open data. This issue focuses on the relationship between innovation and open data, while the second special issue emphasizes research on open data related to transparency and open data policies. To realize the practical benefits of this transformative practice and to develop theory, more research needs to focus on understanding how innovation occurs through open data activities. The papers in this special issue begin to address this gap. The introductory article discusses the state-of-the-art with respect to understanding the context of open data innovation, developments, challenges and barriers, presents an overview of open data research and outlines emerging research directions.