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Predictive task-based skills planning and development
Demographic change is leading to a change in the structure of work in public authorities. The number of employable people will go down, the workforce will become older and more heterogeneous, and it will become much more difficult to recruit newly qualified staff in competition with the private sector. In addition to demographic change, various changes (e.g. the introduction of new technologies to convert analogue processes into digital ones) and new tasks, as well as the digital transformation itself (i.e. the adaptation of entire business processes or models to reflect the digital changes) are leading to new ways of working in public authorities, which mandate that employees adapt quickly to these changes. The development of skills needs to be planned proactively to ensure the performance of the administration in the future. The project builds on this need by focusing on skills planning and development in public administrations. The aim of the project is to develop a basic methodological model for forecasting tasks and the associated skills requirements, which is specifically tailored to the differentiation in levels and tasks in public administrations.
Administration survey
The current research programme at the National Institute for Public Administration Germany includes undertaking an administrative survey for the public administration in Germany. This instrument for surveying public administration staff has already been established in other countries, including Australia, Canada, the United States and the United Kingdom. However, it has not yet been implemented systematically in Germany. While thematic or institutional surveys have been conducted, a comprehensive survey of administrative staff across different levels of administrative and policy areas has not yet been undertaken. The National Institute for Public Administration Germany administrative survey aims to fill this gap in the research landscape.
Knowledge management in public administration
To respond effectively to the systemic challenges of multidimensional transformation of the administration, it is essential to optimise existing governance resources. Knowledge represents one of these critical resources for managing a wide range of administrative tasks. In this way, knowledge helps to improve the capacity of the administration to act by enabling administrative staff to access relevant information, to check the quality of this information, to derive knowledge from it and to make decisions based on this knowledge on how to carry out their tasks. The aim of the research project is to develop a concept for integrated knowledge management in order to make existing knowledge available for administrative practice in the best possible way in the future.
Recruitment using public value strategies
The public sector faces increasing challenges in attracting and retaining sufficient numbers of skilled staff through traditional methods. In addition to the impact of demographic change, competition from the private sector for talent is also a concern. In this context, it is vital to identify strategies for attracting skilled professionals and motivating existing employees to remain in the public sector.
Municipal enterprises in the regime of the Data Use Act
In the context of local enterprises, the ability to mine data resources within and between organisations is becoming a critical aspect of the business model. In addition, the question of whether third parties should be allowed to use these data resources is an important point of consideration. The normative scope is determined by European and national regulations. The Open Data PSI Directive and its national implementation, the Data Use Act (DNG), establish two different legal regimes. Public bodies are subject to stricter rules than so-called public service companies. However, the essential question of which local enterprises are considered public service enterprises within the scope of the DNG and which are to be classified as public bodies remains partially unanswered by the DNG. This project will develop solutions to this problem.
The state and the metaverse: On the power to shape and organise the Internet of tomorrow
Much like the mythical island kingdom of Atlantis, the vision of the metaverse satisfies today's wanderlust. In the future, physical, augmented and virtual reality will merge to form a digital Atlantis. The 'New Internet' will be characterised overall by an unprecedented degree of decentralisation, interactivity and interoperability. The National Institute for Public Administration Germany project 'Metaversum' undertool pioneering work by exploring the infinite vastness of the 'New Internet' from the perspective of jurisprudence and science by highlighting not only existing regulatory requirements, but also – and in particular – regulatory gaps.
The police use of robots
The arsenal of the German police is increasingly expanding to include robotised quadrupeds: the ‘Spot’ model from Boston Dynamics, for example, delights millions of people with its dance choreographies and slapstick-like demo videos. These robots have now also been encountered by the population of Shanghai, New York, Los Angeles and Honolulu, as well as visitors to Singapore's parks - each time in the service of the police and regulatory authorities. Spot’ has also been deployed in Germany, after the state of North Rhine-Westphalia acquired two of them. The ‘Police Robots’ project looks at the use of police robots from a legal and ethical perspective.
Task focussing: Organisational and procedural aspects
The topic of task focussing in public administration is a prominent focus of the current research programme at the National Institute for Public Administration (NIPAG). The hierarchical line structure of public administration is proving to be inadequate in the context of new, complex tasks. The complexity and multidimensionality of the tasks and problems faced by public administrations are increasing, and the solutions to these problems require considerable effort under the use of existing resources. The resolution and management of such tasks could be significantly enhanced by collaboration between different departments and domains (to varying degrees), for example by using matrix structures with adaptive teams. Despite the inherent challenges, a greater emphasis on task orientation appears to be essential for an effective and forward-looking public administration. In this multi-year research initiative, the NIPAG is assessing and collecting data on the successful implementation of task-oriented working methods.
Evaluation of the Schleswig-Holstein Open Data Act (ODaG) for public administrative bodies
The Schleswig-Holstein Open Data Act (Offene-Daten-Gesetz - ODaG) for public administrative bodies came into force on 15 April 2022. The aim of the Act is to 'strengthen the free and unrestricted access of the public to all non-protected digital data'. The Act regulates the conditions for the provision of open data and defines the responsibilities of the lead agency. Section 7 of the ODaG stipulates an obligation to review the effects of the Act with scientific support four years after it comes into force and every four years thereafter. In this context, the National Institute for public Administration Germany was commissioned to prepare parts of the report on the first review of the Act after its entry into force on the basis of scientific standards.
New Work in public administration
New Work is an approach that describes the transformation of the modern workplace. It encompasses not only new forms and models of work, but also changes in social structures and the demands placed on employees. It therefore encompasses the organisational, societal and individual levels. The National Institute for Public Administration Germany is designing a tailor-made model project for the administrations in ministries to develop new forms and models of work with the help of New Work approaches. The implementation of the model in each participating ministry will be accompanied by empirical surveys. This will primarily allow rapid access to results and secondly deliver reliable conclusions for medium and long-term planning of work forms and models.
