Local/Municipality

Hate Speech

Hate speech is commonly defined as any communication that attacks a person or a group because of its origin, colour, ethnicity, gender, sexual orientation, nationality, religion, or other characteristic. Due to the massive rise of user-generated web content, in particular on social media networks, the amount of hate speech is also steadily increasing. [1][2]

In: Trends

Technological Unemployment

Technological Unemployment is about the societal impacts of technologies. Danaher defines technological unemployment “as the replacement of human workers […] by technological alternatives (machines, computer programs, robots and so forth)”. Furthermore, he assumes that artificial intelligence and robots will take over the work of humans in future. This is one reason why technological developments often come with people´s fear of the consequences. Everything is automated to such an extent that human work is no longer needed. [1]

In: Trends

Smart Work

New technologies have great influence on work and work processes, as we know them today. For example, new technologies offer the possibility of mobile work, can optimise the work process and make it more economical. [1]

In: Trends

Lean Approach

Core idea of the lean approach is to maximise customer value and to focus on its key processes in order to continuously increase it through an optimum value creation process that has zero waste.
Lean thinking changes the focus of management from optimising separate technologies, assets, and vertical departments to optimise the flow of products and services through entire value streams that flow horizontally across technologies, assets, and departments. [1]

In: Trends

Evidence-based Policy

Evidence-based policy refers to policy decisions that are informed by objective evidence. Without evidence, policy-makers need to fall back on intuition, ideology, or conventional wisdom.
Originally, the concept has evolved in the medicine, encompassing the toolbox of quantitative experimental methods such as randomized controlled trials or quasi-experimental trials to support medical decisions.

In: Trends

Data Philanthropy

Data philanthropy is a kind of strategic partnership between private and public sector in which private companies donate data as a valuable resource for public benefit, i.e. for humanitarian, corporate, human rights, and academic use. [1]
However, there are numerous challenges to be mastered, such as competing tensions on data control and ownership, personal data protection and the lack of adequate frameworks for coordination and governance. [2]

 

In: Trends

Glocalization

Glocalization is an artificial word combining Globalization and Localization. It is a practice of conducting business according to both local and global considerations. The process allows integration of local markets into world markets in a business context. [1]
The concept can be transferred into a public sector context in the way that local levels of government need to be considered in higher-level policies.

 

In: Trends

Data Literacy/ Data Literacy Education

Data literacy is about the ability to handle data. It includes competences to collect, manage, evaluate and apply data in a critical manner. The public sector struggles with the growing skills gap, since data has become a central issue in our working environment, and the ability to understand and master the huge amounts of data available to the organisation is a key challenge. Key to this is establishing a culture of data literacy, meaning employees at all levels can access and have the ability to read, work, analyse and argue with data.

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E-Governance

Governance is a term that has a quite broad context and means in its core to shape or design areas of life. E-Governance (Electronic Governance) is devoted to the challenges of shaping life areas in face of digital revolution and information era and affects all sectors encompassing the public, private and civil sector. It also affects communication and exchange between the sectors.

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Data Governance

The Data Governance Institute defines Data Governance as a system of decision rights and accountabilities for information-related processes, executed according to agreed-upon models, which describe who can take what actions with what information, and when, under what circumstances, using what methods. It encompasses strategies and technologies used to make sure organisations data stays in compliance with regulatory and legal requirements.[1]

 

In: Trends