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In this article, we investigate the role of keystone players and consider their impact in terms of innovation rate in the industry. To do so, we build a theoretical framework that considers the innovation rate in the context of an industry with one keystone player and then with multiple keystone players. The results are threefold. First, the presence of a keystone player is incredibly important for innovation on a market. Second, however, our results also show that biased market power in favor of the keystone player may hinder innovation in this industry, although the negative impact on the industry’s innovation rate may not be seen at first. Finally, we demonstrate that an industry obtains a higher innovation rate with multiple keystone players. This framework could inform decisions for the antitrust enforcers.

Education has been forever transformed in a span of a few short weeks. In this article, as professors at the crossroad between education and technology (and data science in particular), we want to discuss the potential impact of Covid-19 and highlight the need for public policy responses on learning and academic performance of pupils. Many troubling issues remain unanswered – are students who are suddenly forced into online education prepared for it? Do all have access to high-speed internet connection? Do all possess suitable computers to allow them to succeed? Do students belonging to wealthier families have an unfair advantage over the poorer families since they have more tech equipment? Are we experiencing a digital divide in education, which can be even beyond the traditional societal dimensions?

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In recent years, artificial intelligence - the ability of machines to demonstrate intelligence - has shaken up the technological world. Like the radar, AI helps in adding clarity to the unseen.

Ceci est un ouvrage d'exercices d’économie industrielle à destination des premiers et deuxièmes cycles universitaires qui repose également sur les techniques de science des données.

COVID-19 has forced a large part of the world to transition to digital tools rapidly. As candid observers, we are all stunned by the pace at which our various industries have transitioned from a brick and mortar-based office to remote work. Many of the reasons we were, as a society, resisting this digital switch have gone down to a lower priority level, replaced by the need to adapt to the new risk in town. Many thoughts have been produced recently about the benefits and challenges of this forced digital transition. We often expect governments to play a significant role in this transition. Governments help our societies through multiple vehicles, regulatory and financial (public expenditures, etc.). Something of particular interest to us amid all the announcements made by our governments is the fact that they emphasize the need for the digital transformation of our economies, but the risk is that governments may want to postpone their digital transformation. An apparent reason could be that they have other priorities right now with COVID-19, which we understand, but we somehow disagree with this argument. The digital transformation of governments goes beyond remote working.

Ceci est un ouvrage d’économie industrielle à destination des premiers et deuxièmes cycles universitaires qui repose également sur les techniques de science des données.

Integrate Git and GitHub into your daily work with R and R Markdown.

To investigate and evaluate the impact of global financial conditions on domestic credit growth, controlling for the Mundellian Trilemma configuration and several idiosyncratic factors.

We call for countries to develop comprehensive, place-sensitive economic diplomacy strategies that are built upon a careful empirical analysis of the differential consequences of distinct types of IB activities, and take the existence of GVCs as a starting point. Implementing such strategies will require countries to enhance their diagnostic tool kit, and – we acknowledge – it will require economic diplomats to have a more complex perspective on current global dynamics. We firmly believe that IB scholars can provide academic support in the process, particularly as the field deepens its interest on the policy dimension of IB research.

Learn the Distill Basics for scientific and technical writing, native to the web.

Rather than looking at the national aggregate data on innovation in general and R&D in particular, we chose to analyse the characteristics of the world’s 1,000 leading R&D companies. Very interesting questions have led to equally interesting answers: What are their home countries? What are the promising sectors? How do Canadian businesses rank? Is the Canadian economic and regulatory infrastructure conducive to the creation of Canadian leaders in R&D?

Machine learning is a new paradigm in Data Science. How can we use it to help us find new trends and explanations in migration datasets.

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In this article, we explore the contrast between the scientific publications about fracking and the potential questions about environmental and health impacts and the perception of the local population. The methodology used in this article is based on unstructured data from Twitter as well as scientific publications. NLP and sentiment analyses are used to extract polarity indices and sentiment categories. Mapping techniques are also extensively used to map all the shale gaz wells and the geo-located conversations on Twitter.

This document is the online appendix of the core article titled "Nigeria’s 2015 Presidential Election: A Spatial and Econometric Perspective Based on a Framing Strategy"