The possible negative consequences of Artificial Intelligence (AI) have given rise to calls for public policy to ensure that it is safe, and to prevent improper use and misuse. Human-centered AI (HCAI) draws on ethical principles and puts forth actionable guidelines in this regard. So far...

In this paper, we present a German-language Twitter dataset related to the Covid-19 pandemic. We show how the R (R Core Team 2020) package rtweet (Kearney 2019) and a combination of keywords can be used to create the dataset and provide a way to rehydrate most of the tweets. The dataset consists...

In this paper, we present a German-language Twitter dataset related to the Covid-19 pandemic. We show how the R (R Core Team 2020) package rtweet (Kearney 2019) and a combination of keywords can be used to create the dataset and provide a way to rehydrate most of the tweets. The dataset consists...

This paper presents a new data set collected on representative samples across 6 countries: China, South Korea, Japan, Italy, the UK and the four largest states in the US. The information collected relates to work and living situations, income, behavior (such as social-distancing, hand-washing...

This paper explores how firms that lack expertise in machine learning (ML) can leverage the so-called AI flywheel effect. This effect designates a virtuous cycle by which, as an ML product is adopted and new user data are fed back to the algorithm, the product improves, enabling further...

Daten entwickeln sich rapide zu einer der wichtigsten Unternehmensressourcen. Immer mehr Unternehmen stellen sich die Frage, wie sie Daten gewinnbringend in ihrem Geschäft einsetzen können. In diesem Zusammenhang werden datengetriebene Geschäftsmodelle zunehmend zu einem...

The growth in energy demand and global concern about the environment has resulted in the drive towards alternative energy sources and consequently this research concerning solar energy harvesting of radiation received at the earth's surface. Analysis of solar radiation data is an important tool...

This paper explores how firms that lack expertise in machine learning (ML) can leverage the so-called AI Flywheel effect. This effect designates a virtuous cycle by which, as an ML product is adopted and new user data are fed back to the algorithm, the product improves, enabling further...

Ziel dieser Handreichung ist es, grundsätzliche Einstiegsfragen zum Thema Öffnen und Teilen von qualitativen Forschungsdaten zu beantworten. Dabei verstehen wir unter Öffnen und Teilen die Zugänglichmachung zur Sekundärnutzung für andere Forschende. In dieser Handreichung werden wir auf...

The international development community has used the World Bank's Statistical Capacity Index since its inception in 2004. The Sustainable Development Goals create new challenges for national statistical systems to produce high-quality and internationally comparable data. This paper reviews...

This paper presents a new data set collected on representative samples across 6 countries: China, South Korea, Japan, Italy, the UK and the four largest states in the US. The information collected relates to work and living situations, income, behavior (such as social-distancing, hand-washing...

As digital platforms provide consumers opportunities to interact with suppliers of goods and services through the internet, these platforms have radically transformed business activities as well as the nature of work. The disruptions from the novel corona virus pandemic also show how platforms...

This paper explores how firms that lack expertise in machine learning (ML) can leverage the so-called AI flywheel effect. This effect designates a virtuous cycle by which, as an ML product is adopted and new user data are fed back to the algorithm, the product improves, enabling further...

This paper explores how firms that lack expertise in machine learning (ML) can leverage the so-called AI Flywheel effect. This effect designates a virtuous cycle by which, as an ML product is adopted and new user data are fed back to the algorithm, the product improves, enabling further...

The Regional Trade Flows and Input output Data for Europe are constructed at the regional NUTS2 level with sectoral NACE2 detail and developed for spatial macroeconomic modelling and social-economic analysis for answering a wide-range of policy questions, including policies related to...

Datafication is not just the making of information, which, in one sense, human beings have been doing since the creation of symbols and writing. Rather, datafication is a contemporary phenomenon which refers to the quantification of human life through digital information, very often for economic...

Poverty is considered a key driver of civil conflict. However, this link has not yet been sufficiently investigated in the case of Syria, perhaps due to a lack of pre-conflict data. This article endeavours to fill this gap by computing poverty figures and uncovering some of Syria's poverty...

The international development community has used the World Bank’s Statistical Capacity Index since its inception in 2004. The Sustainable Development Goals create new challenges for national statistical systems to produce high-quality and internationally comparable data. This paper reviews...

In order for an organization to harness the most out of its knowledge fluxes, informational stocks and data bases it must focus its interest specifically in those areas. Within this paper we point out the idea that understanding knowledge types and knowledge processes may lead to great...

Poverty is considered a key driver of civil conflict. However, this link has not yet been sufficiently investigated in the case of Syria, perhaps due to a lack of pre-conflict data. This article endeavours to fill this gap by computing poverty figures and uncovering some of Syria's poverty...

From its inception, demand estimation has faced the problem of "many prices." While some aggregation across goods is always necessary, the problem of many prices remains even after aggregation. Although objects of interest may mostly depend on a few prices, many prices should be included to...

Digitization has changed economic activity in many ways. While digitization has contributed to a very dynamic development of markets and competition, concerns are also being expressed about powerful positions of some companies. The digital transformation poses new challenges for companies,...

The international development community has used the World Bank’s Statistical Capacity Index since its inception in 2004. The Sustainable Development Goals create new challenges for national statistical systems to produce high-quality and internationally comparable data. This paper reviews...