Network-based ranking in social systems: three challenges

Ranking algorithms are pervasive in our increasingly digitized societies, with important real-world applications including recommender systems, search engines, and influencer marketing practices. From a network science perspective, network-based ranking algorithms solve fundamental problems related to the identification of vital nodes for the stability and dynamics of a complex system. Despite the ubiquitous and successful applications of these algorithms, we argue that our understanding of their performance and their applications to real-world problems face three fundamental challenges: (i) Rankings might be biased by various factors; (2) their effectiveness might be limited to specific problems; and (3) agents' decisions driven by rankings might result in potentially vicious feedback mechanisms and unhealthy systemic consequences. Methods rooted in network science and agent-based modeling can help us to understand and overcome these challenges.Comment: Perspective article. 9 pages, 3 figure

Review of Reactor Neutrino Oscillation Experiments

In this document we will review the current status of reactor neutrino oscillation experiments and present their physics potentials for measuring the $\theta_{13}$ neutrino mixing angle. The neutrino mixing angle $\theta_{13}$ is currently a high-priority topic in the field of neutrino physics. There are currently three different reactor neutrino experiments, \textsc{Double Chooz}, \textsc{Daya Bay} and \textsc{Reno} and a few accelerator neutrino experiments searching for neutrino oscillations induced by this angle. A description of the reactor experiments searching for a non-zero value of $\theta_{13}$ is given, along with a discussion of the sensitivities that these experiments can reach in the near future.Comment: 15 pages, 4 figure

The data producer’s right in digital agriculture: towards a ‘data farmer’s privilege’?

The paper aims at investigating the legal challenges, at the European Union level, related to access to non-personal data in the context of digital agriculture. The paper finds that a comprehensive legal framework for non-personal data in the EU is required in order to prevent unfair business practices and power abuse across the agrifood chain. In particular, the papers considers the possibility to design a ‘data producer’s privilege’, potentially following the pattern set out by the ‘farmer’s privilege’ in plant variety protection

Accounting Control Systems, Open Innovation and Sustainable Competitive Advantage

The purpose of the study is to study whether management accounting and control systems (MACS) and intellectual capital (IC) reflect the sustainability competitive advantage (SCA) of the companies concerned. Where a greater focus on open innovation occurs, it may require a different emphasis on management accounting practices compared to companies where they do not feature strongly. It is assumed to be important that management recognise and act on this in order to improve firms’ sustainability competitive advantage. This study is expected to show that the level of open innovation (OI), as expected to be a major source of corporate competitive advantage, influences the practice of management accounting and control systems and intellectual capital. Whilst the literatures place considerable attention on (close) innovation purposes, far less attention has been given so far to the implications of open innovation for managerial accounting practice. This research addresses this omission. The methodology of this study is a literature review.     Keywords: open innovation, management accounting and control systems, intellectual capital, sustainable competitive advantage, pharmaceutical company