Applying Quadratic Scoring Rule transparently in multiple choice settings: A note

The quadratic scoring rule (QSR) is often used to guarantee an incentive compatible elicitation of subjective probabilities over events. Experimentalists have regularly not been able to ensure that subjects fully comprehend the consequences of their actions on payoffs given the rules of the games. In this note, we present a procedure that allows the transparent use of the QSR even in multiple-choice scenarios. For that purpose, two methodological means are applied: an alternative representation of the score and a short learning period to familiarize subjects with the payoff mechanism. The results suggest that both means were necessary and successful in facilitating subjects' understanding of the rule.Quadratic scoring rule, experimental methodology, experimental design

Applying Quadratic Scoring Rule transparently in multiple choice settings: A note

The quadratic scoring rule (QSR) is often used to guarantee an incentive compatible elicitation of subjective probabilities over events. Experimentalists have regularly not been able to ensure that subjects fully comprehend the consequences of their actions on payoffs given the rules of the games. In this note, we present a procedure that allows the transparent use of the QSR even in multiple-choice scenarios. For that purpose, two methodological means are applied: an alternative representation of the score and a short learning period to familiarize subjects with the payoff mechanism. The results suggest that both means were necessary and successful in facilitating subjects’ understanding of the rule.quadratic scoring rule, belief elicitation, saliency, experiment

Applying quadratic scoring rule transparently in multiple choice setting: a note

The quadratic scoring rule (QSR) is often used to guarantee an incentive compatible elicitation of subjective probabilities over events. Experimentalists have regularly not been able to ensure that subjects fully comprehend the consequences of their actions on payoffs given the rules of the games. In this note, we present a procedure that allows the transparent use of the QSR even in multiple-choice scenarios. For that purpose, two methodological means are applied: an alternative representation of the score and a short learning period to familiarize subjects with the payoff mechanism. The results suggest that both means were necessary and successful in facilitating subjects’ understanding of the rule

3D Visualization, Skeletonization and Branching Analysis of Blood Vessels in Angiogenesis

Angiogenesis is the process of new blood vessels growing from existing vasculature. Visualizing them as a three-dimensional (3D) model is a challenging, yet relevant, task as it would be of great help to researchers, pathologists, and medical doctors. A branching analysis on the 3D model would further facilitate research and diagnostic purposes. In this paper, a pipeline of vision algorithms is elaborated to visualize and analyze blood vessels in 3D from formalin-fixed paraffin-embedded (FFPE) granulation tissue sections with two different staining methods. First, a U-net neural network is used to segment blood vessels from the tissues. Second, image registration is used to align the consecutive images. Coarse registration using an image-intensity optimization technique, followed by finetuning using a neural network based on Spatial Transformers, results in an excellent alignment of images. Lastly, the corresponding segmented masks depicting the blood vessels are aligned and interpolated using the results of the image registration, resulting in a visualized 3D model. Additionally, a skeletonization algorithm is used to analyze the branching characteristics of the 3D vascular model. In summary, computer vision and deep learning is used to reconstruct, visualize and analyze a 3D vascular model from a set of parallel tissue samples. Our technique opens innovative perspectives in the pathophysiological understanding of vascular morphogenesis under different pathophysiological conditions and its potential diagnostic role

Psychologische Mechanismen in der strategischen Interaktion unter Unsicherheit

Diese Dissertation umfasst drei eigenständige Essays, die sich mit den psychologischen Mechanismen in strategischer Interaktion beschäftigen. Ökonomische Theorien werden hierbei aus einer empirischen Perspektive untersucht. Das erste Essay ist eine Studie zum Zusammenhang zwischen sozialen Präferenzen und individuellen Unterschieden in den Dispositionen ‚Theory of Mind‘ und Empathie. Dies wird anhand eines Laborexperiments untersucht. Das zweite Essay beschäftigt sich mit der Rolle von exogenem Risiko in einem sozialen Dilemma in einem Laborexperiment. Im dritten Essay werden Preisstrategien von Gebrauchtwagenhändler und in wie weit diese auf leicht zugängliche Markinformationen zurückgreifen untersucht. Dies wird anhand von Interviews und Daten aus einem Online Gebrauchtwagenmarkt gemacht.This dissertation consists of three self-contained essays concerned with psychological mechanisms in strategic interaction. This is examined from an empirical perspective shedding light on economic theories. The first essay investigates the relationship between social preferences and individual differences in dispositions for theory of mind and empathy using a laboratory experiment. The second essay examines the role of risky outcomes in a social dilemma. The third essay investigates the pricing strategies of used car dealers and to what extent they make use of readily available market information. The data stems from interviews with dealers and data from an online used car market

C. Y. A.: frequency and causes of defensive decisions in public administration

Abstract Defensive decision making occurs when a manager ranks an option as the best for the organization yet deliberately chooses a second-best option that protects him or herself against negative consequences. We study 950 managers in a public administration to analyze the frequency and causes of defensive decisions. We find that at each hierarchy level defensive decisions are widespread. On average, 2.5 out of the 10 most important decisions respondents made within the last 12 months were defensive. Overall, 80% of managers indicated that they made at least one defensive decision and 17% even stated that at least half of their decisions were defensive. We identify as a major cause a team’s approach to failure, that is, whether the reaction to failure is to seek someone to blame as opposed to identifying the underlying causes in order to learn how to prevent similar failures in the future. Given that managers are often confronted with an uncertain environment where a positive outcome cannot be ascertained, such an approach to failure can lead to a severe decline in the performance of the organization

Cooperation in Risky Environments: Decisions from Experience in a Stochastic Social Dilemma

Often in cooperative situations, many aspects of the decisionmaking environment are uncertain. We investigate how cooperation is shaped by the way information about risk is presented (from description or from experience) and by differences in risky environments. Drawing on research from risky choice, we compare choices in stochastic social dilemmas to those in lotteries with equivalent levels of risk. Cooperation rates in games vary with different levels of risk across decision situations with the same expected outcomes, thereby mimicking behavior in lotteries. Risk presentation, however, only affected choices in lotteries, not in stochastic games. Process data suggests that people respond less to probabilities in the stochastic social dilemmas than in the lotteries. The findings highlight how an uncertain environment shapes cooperation and call for models of the underlying decision processes