Citizen Social Lab: A digital platform for human behaviour experimentation within a citizen science framework

Cooperation is one of the behavioral traits that define human beings, however we are still trying to understand why humans cooperate. Behavioral experiments have been largely conducted to shed light into the mechanisms behind cooperation and other behavioral traits. However, most of these experiments have been conducted in laboratories with highly controlled experimental protocols but with varied limitations which limits the reproducibility and the generalization of the results obtained. In an attempt to overcome these limitations, some experimental approaches have moved human behavior experimentation from laboratories to public spaces, where behaviors occur naturally, and have opened the participation to the general public within the citizen science framework. Given the open nature of these environments, it is critical to establish the appropriate protocols to maintain the same data quality that one can obtain in the laboratories. Here, we introduce Citizen Social Lab, a software platform designed to be used in the wild using citizen science practices. The platform allows researchers to collect data in a more realistic context while maintaining the scientific rigour, and it is structured in a modular and scalable way so it can also be easily adapted for online or brick-and-mortar experimental laboratories. Following citizen science guidelines, the platform is designed to motivate a more general population into participation, but also to promote engaging and learning of the scientific research process. We also review the main results of the experiments performed using the platform up to now, and the set of games that each experiment includes. Finally, we evaluate some properties of the platform, such as the heterogeneity of the samples of the experiments and their satisfaction level, and the parameters that demonstrate the robustness of the platform and the quality of the data collected.Comment: 17 pages, 11 figures and 4 table

Methodological and conceptual limitations in exercise addiction research

The aim of this brief analytical review is to highlight and disentangle research dilemmas in the field of exercise addiction. Research examining exercise addiction is primarily based on self-reports, obtained by questionnaires (incorporating psychometrically validated instruments), and interviews, which provide a range of risk scores rather than diagnosis. Survey methodology indicates that the prevalence of risk for exercise addiction is approximately 3 percent among the exercising population. Several studies have reported a substantially greater prevalence of risk for exercise addiction in elite athletes compared to those who exercise for leisure. However, elite athletes may assign a different interpretation to the assessment tools than leisure exercisers. The present paper examines the: 1) discrepancies in the classification of exercise addiction; 2) inconsistent reporting of exercise addiction prevalence; and 3) varied interpretation of exercise addiction diagnostic tools. It is concluded that there is the need for consistent terminology, to follow-up results derived from exercise addiction instruments with interviews, and to follow a theory-driven rationale in this area of research

The weight-inclusive vs. weight-normative approach to health: Evaluating the evidence for prioritizing well-being over weight

Using an ethical lens, this review evaluates two methods of working within patient care and public health: the weight-normative approach (emphasis on weight and weight loss when defining health and well-being) and the weight-inclusive approach (emphasis on viewing health and well-being as multifaceted while directing efforts toward improving health access and reducing weight stigma). Data reveal that the weight-normative approach is not effective for most people because of high rates of weight regain and cycling from weight loss interventions, which are linked to adverse health and well-being. Its predominant focus on weight may also foster stigma in health care and society, and data show that weight stigma is also linked to adverse health and well-being. In contrast, data support a weight-inclusive approach, which is included in models such as Health at Every Size for improving physical (e.g., blood pressure), behavioral (e.g., binge eating), and psychological (e.g., depression) indices, as well as acceptability of public health messages. Therefore, the weight-inclusive approach upholds nonmaleficience and beneficience, whereas the weight-normative approach does not. We offer a theoretical framework that organizes the research included in this review and discuss how it can guide research efforts and help health professionals intervene with their patients and community

Empowering Users to Detect Data Analytics Discriminatory Recommendations

Notwithstanding the various benefits ascribed to using Data Analytics (DA) tools in support of decision-making, they have been blamed for their potential to generate discriminatory outputs. Although several purely technical methods have been proposed to help with this issue, they have proven to be inadequate. In this research-in-progress paper, we aim to address this gap by helping users detect discrimination, if any, in DA recommendations. By drawing upon the moral intensity literature and the literature on explaining black box models, we propose two decisional guidance mechanisms for DA users: (i) aggregated demographic information about the data subjects (ii) information on the variables that drive the DA output and the extent of their contribution along with information about demographics of the data set being analyzed. We suggest that these mechanisms can help decrease users’ readily acceptance of discriminatory DA recommendations. Moreover, we outline an experimental methodology to test our hypotheses

Reinforcement learning accounts for moody conditional cooperation behavior:experimental results

In social dilemma games, human participants often show conditional cooperation (CC) behavior or its variant called moody conditional cooperation (MCC), with which they basically tend to cooperate when many other peers have previously cooperated. Recent computational studies showed that CC and MCC behavioral patterns could be explained by reinforcement learning. In the present study, we use a repeated multiplayer prisoner’s dilemma game and the repeated public goods game played by human participants to examine whether MCC is observed across different types of game and the possibility that reinforcement learning explains observed behavior. We observed MCC behavior in both games, but the MCC that we observed was different from that observed in the past experiments. In the present study, whether or not a focal participant cooperated previously affected the overall level of cooperation, instead of changing the tendency of cooperation in response to cooperation of other participants in the previous time step. We found that, across different conditions, reinforcement learning models were approximately as accurate as a MCC model in describing the experimental results. Consistent with the previous computational studies, the present results suggest that reinforcement learning may be a major proximate mechanism governing MCC behavior

ILR Faculty Publications 2007-08

The production of scholarly research continues to be one of the primary missions of the ILR School. During a typical academic year, ILR faculty members published or had accepted for publication over 25 books, edited volumes, and monographs, 170 articles and chapters in edited volumes, numerous book reviews. In addition, a large number of manuscripts were submitted for publication, presented at professional association meetings, or circulated in working paper form. Our faculty's research continues to find its way into the very best industrial relations, social science and statistics journals.Faculty_Publications_2007_08.pdf: 39 downloads, before Oct. 1, 2020

A Critique and Reframing of Personality in Labour Market Theory: Locus of Control and Labour Market Outcomes

This article critically examines the theoretical arguments that underlie the literature linking personality traits to economic outcomes and provides empirical evidence indicating that labour market outcomes influence personality outcomes. Based on data from the German Socio-Economic Panel, we investigated the extent to which gender differences occur in the processes by which highly positive and negative labour market outcomes are determined and in the processes underlying the development of one particular aspect of personality, locus of control. Gender differences were more pronounced in the results for years in managerial/ leadership positions than for locus of control. Negative labour market states were also marked by gender differences. We conclude by arguing that an explicitly value-laden analysis of the rewards associated with personality within the labour market could expose areas where the gendered nature of rewards by personality serves to perpetuate power relationships within the labour market.

A Critique and Reframing of Personality in Labour Market Theory: Locus of Control and Labour Market Outcomes

This article critically examines the theoretical arguments that underlie the literature linking personality traits to economic outcomes and provides empirical evidence indicating that labour market outcomes influence personality outcomes. Based on data from the German Socio-Economic Panel, we investigated the extent to which gender differences occur in the processes by which highly positive and negative labour market outcomes are determined and in the processes underlying the development of one particular aspect of personality, locus of control. Gender differences were more pronounced in the results for years in managerial/ leadership positions than for locus of control. Negative labour market states were also marked by gender differences. We conclude by arguing that an explicitly value-laden analysis of the rewards associated with personality within the labour market could expose areas where the gendered nature of rewards by personality serves to perpetuate power relationships within the labour market.labour market theory, power, gender, personality traits, locus of control, SOEP

Would empowering women initiate the demographic transition in least-developed countries?

We examine the pathways by which gender inequality affects fertility and hampers growth. We introduce several dimensions of gender inequality into a 2-sex OLG model with a non-unitary representation of household decision-making. We characterize a Malthusian corner regime which is characterized by strong gender inequality in education and high fertility. We find both in theory and in the data that reducing the social and institutional gender gap does not help to escape from this regime while reducing the wage gender gap lowers fertility only in countries which have already escaped from it. The key policies to ease out the countries in the Malthusian regime are to promote mother's longevity and to curb infant mortality. In the interior regime, parents consider the impact of their children education on the expected intra-household bargaining position in their future couple. Education could thus compensate against the institutional and social gender gap that still exists in developed countries.gender gap, fertility, education, household bargaining.