Between vision and practice:lack of alignment between AI strategies and energy regulations in the Dutch electricity sector

Different governmental institutions are publishing more and more visions, strategies, or proposed regulations related to artificial intelligence. This paper analyses how these visions or proposed regulations are put into practice. To this end, the proposed European Union Artificial Intelligence Act, the Dutch artificial intelligence strategy and the proposed new Dutch energy law are compared. Even though the new Dutch energy law was created parallel and published after the European Union Artificial Intelligence Act, it does not take into account the use of artificial intelligence in the electricity actor. Similarly, the focus points of the Dutch artificial intelligence strategy are ignored in the new Dutch energy law. Two issues emerge from this. First, it is questionable if and how visions, strategies and proposed regulations related to AI are translated into different sectors and related practices. Second, as the different acts and proposed regulations do not communicate or overlap, gaps develop between the different policies. It is unclear which institutions will fill in these gaps

Publication strategies and Open Science: a concealed conflict?:Blog

Over the past few years, the attention for Open Science has increased. Many University publication strategies, however, do not reflect this development. Research metrics (e.g. Journal Impact Factor, Eigenfactor score or Article Influence Score) are still at the core of such strategies, limiting academics in the way they are able to match their scholarly output(s) with open science principles. Instead, publication strategies could consider adopting a broader perspective

Public Values in Power:An Exploratory Framework Applied to the Case of the Netherlands

Artificial intelligence is increasingly applied in electricity systems. This development results in opportunities and pressures for incorporating public values. Public governments can steer the implementation of AI to safeguard certain values. To understand what values might be pressing to cover, this paper maps the visions of various actors in the Dutch electricity system regarding which public values should be safeguarded. For this analysis, actors in different elements of the electricity system were interviewed, and a narrative analysis of grey material published by several of these actors was conducted. Multiple actors within the electricity system identified sustainability, reliability, affordability, equity and equality, and balances of power as important values to prioritize. This does not mean other values can be disregarded. At its core, identification and non-identification indicate which public values are present and absent in the current debate about the future Dutch electricity system

Feedback on the roadmap for the "EU action plan Digitalising the energy sector"

Feedback reference: F2670225 Initiative: Digitalising the energy sector – EU action plan Feedback on Roadmap

A tailored solver for bifurcation analysis of ocean-climate models

In this paper, we present a new linear system solver for use in a fully-implicit ocean model. The new solver allows to perform bifurcation analysis of relatively high-resolution primitive-equation ocean-climate models. It is based on a block-ILU approach and takes special advantage of the mathematical structure of the governing equations. In implicit models Jacobian matrices have to be constructed. Analytical construction is hard for complicated but more realistic representations of mixing. This is overcome by evaluating the Jacobian in part numerically. The performance of the new implicit ocean model is demonstrated using (i) a high-resolution model of the wind-forced double-gyre flow problem in a (relatively small) midlatitude spherical basin, and (ii) a medium-resolution model of thermohaline and wind-driven flows in an Atlantic size single-hemispheric basin.

Landmark detection in 2D bioimages for geometric morphometrics: a multi-resolution tree-based approach

The detection of anatomical landmarks in bioimages is a necessary but tedious step for geometric morphometrics studies in many research domains. We propose variants of a multi-resolution tree-based approach to speed-up the detection of landmarks in bioimages. We extensively evaluate our method variants on three different datasets (cephalometric, zebrafish, and drosophila images). We identify the key method parameters (notably the multi-resolution) and report results with respect to human ground truths and existing methods. Our method achieves recognition performances competitive with current existing approaches while being generic and fast. The algorithms are integrated in the open-source Cytomine software and we provide parameter configuration guidelines so that they can be easily exploited by end-users. Finally, datasets are readily available through a Cytomine server to foster future research