Halloween, Organization, and the Ethics of Uncanny Celebration

This article examines the relationship between organizational ethics, the uncanny, and the annual celebration of Halloween. We begin by exploring the traditional and contemporary organizational function of Halloween as ‘tension-management ritual’ (Etzioni, Sociol Theory 18(1):44–59, 2000) through which collective fears, anxieties, and fantasies are played out and given material expression. Combining the uncanny with the folkloric concept of ostension, we then examine an incident in which UK supermarket retailers made national news headlines for selling offensive Halloween costumes depicting ‘escaped mental patients’. Rather than treating this incident as a problem of moral hygiene—in which products are removed, apologies made, and lessons learned—we consider the value of Halloween as a unique and disruptive ethical encounter with the uncanny Other. Looking beyond its commercial appeal and controversy, we reflect on the creative, generous, and disruptive potential of Halloween as both tension-management ritual and unique organizational space of hospitality through which to receive and embrace alterity and so discover the homely within the unheimlich

A unified framework for estimating parameters of kinetic biological models

Utilizing kinetic models of biological systems commonly require computational approaches to estimate parameters, posing a variety of challenges due to their highly non-linear and dynamic nature, which is further complicated by the issue of non-identifiability. We propose a novel parameter estimation framework by combining approaches for solving identifiability with a recently introduced filtering technique that can uniquely estimate parameters where conventional methods fail. This framework first conducts a thorough analysis to identify and classify the non-identifiable parameters and provides a guideline for solving them. If no feasible solution can be found, the framework instead initializes the filtering technique with informed prior to yield a unique solution.publishe