Tag Archives: policy making

Why policy advocates should pay more attention to data visualization?

This article was originally published on PolicyHub (September 12, 2017). 
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Digital age is characterized by growing challenge: how to ensure that the produced information reach intended audience, considering immense amount of information that are daily disseminated and circulating on the web? How to ensure that the information is properly decoded having in mind that information overload is narrowing our time for information processing and reducing our commitment to particular content? Decentralization (and democratization) of information and knowledge production, due to emergence of contemporary information and communication technologies (ICT), especially of the so-called new media — i.e. media that supports interactive, two-way and networked communication, such as social networks, blogs etc. — has resulted in ‘content explosion’. Every person with access to internet has the opportunity to create and share information. In that sense, contemporary ICT allows relatively simple, quick and cheap content creation.

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Data Science: The Next Frontier for Data-Driven Policy Making?

This article was originally published on PolicyHub (July 3, 2017).

The rapid development of information and communication technologies (ICT) is significantly changing our data landscape, and influences everything – from our daily lives, to business, science and public governance.

Data explosion is the term that describes the contemporary state of data production. New (and usually networked) ICT devices (so-called new mediainternet of things) are just some of the factors that have contributed to the growing volume and variety of available data. Almost every person, company, organization or institution produces data on a daily basis, using computers, smart phones, smart TVs, self-driving cars, different equipment etc. Some estimations suggest a 4,300% increase in annual data generation by 2020, meaning that data production will be 44 times greater in 2020 than it was in 2009.

In that sense, the new technologies that have emerged have created the possibility – and also the need – for more sophisticated manipulation and analysis of data. However, coping with data has become increasingly challenging. The new data reality brings many challenges for traditional approaches to empirical research and data analysis, making it clear that the ‘new reality’ cannot be met without new, technology-driven, techniques. On the other hand, awareness of new technological capacities and opportunities is creating growing demand for more sophisticated forms of data usage such as real-time analytics, automated data processing and decision-making through machine learning and the like.

This gap between the new opportunities that have emerged from contemporary data and the technology landscape, and the old analytical techniques, has recently been filled with so-called data science. Continue reading Data Science: The Next Frontier for Data-Driven Policy Making?