Contemporary Dutch Museums in a Post-Covid Era

During the current outbreak of the Covid-19 pandemic, museums around the world have been forced to close their doors. Yet, responding to Covid-19 is just one of the challenges they are currently facing. In the aftermath of unprecedented times, international museum leaders are facing numerous obstacles and innovations. The debate about their future has become increasingly heated (Herwitz, 2021; Szántó 2020). The aim of this research is to consider different developments in the museum world, with an emphasis on the developments in the Netherlands

The period-index problem and Hodge theory

Conditional on the Lefschetz standard conjecture in degree 2, we prove that the index of a Brauer class on a smooth projective variety divides a fixed power of its period, uniformly in smooth families. In the other direction, we reinterpret in more classical terms recent work of Hotchkiss which gives Hodge-theoretic lower bounds on the index of Brauer classes. We also prove versions of our results over arbitrary algebraically closed base fields, and as an application construct qualitatively new counterexamples to the integral Tate conjecture.Comment: 35 page

From Apathy to Algoactivism: Worker Resistance to Algorithmic Control in Food Delivery Platforms

Platforms in the gig economy rely on algorithmic control to manage their workforce, but recent scientific evidence has shown that workers have begun to resist this control. Due to lacking focus and limited empirical data, the phenomenon of worker resistance to algorithmic control is still insufficiently understood. Based on a topic modeling approach with over 2 million text documents extracted from Reddit forums of different food-delivery platforms, we identify 14 resistance actions showing how food-delivery workers resist algorithmic control. Our study contributes to current research by expanding the understanding of resistance to algorithmic control in the gig economy, showing what resistant actions workers take, and discussing the concepts of individual opacity and collective knowledge as possible escalators and de-escalators of this resistance

The Good, the Bad, and the Missing: Topic Modeling Analysis of User Feedback on Digital Wellbeing Features

Digital wellbeing features could potentially help users mitigate unintended effects of IT use such as smartphone addiction. However, knowledge about users’ perceptions of such features is still scarce. To bridge this gap, we applied structural topic modeling to analyze user reviews of 93 digital wellbeing apps from the Google Play Store. Our findings revealed three promising research areas: (1) mitigation mechanisms associated with self-monitoring, goal advancement, and change UI features, (2) the relationship between restrictiveness of block features, user characteristics, and addiction levels, and (3) the association of gamification with other features to promote behavior change. We also highlight the advantages of using structural topic modeling to analyze a large body of app reviews. Finally, we provide developers of digital wellbeing apps with feature requests extracted from the reviews

Revealing the Voices of Resistance: A Q-Methodology Study on Platform Workers in the Gig Economy

While algorithmic management generates several benefits for platform companies, it emanates several issues for workers, which they perceive as threats triggering different forms of resistance behaviors. Although recent studies identify these issues and resistance behaviors, the perspective of the actual subject of resistance, i.e., the gig worker or group of gig workers with resistant behaviors, is yet not well understood. By adopting a Q-methodology mixed-method approach this study tries to identify resistance types of gig workers, explore their characteristics and similarities, and therefore give a voice to the subject of resistance. Based on 21 threats and 14 resistance behaviors, identified in a literature review, we develop a Q-set containing 35 statements, which will be used for data collection with the goal of revealing the richness of the resistance phenomenon in the context of work in the gig economy