This study uses the Planned Risk Information Seeking Model (PRISM) to estimate the public's information seeking and avoidance intentions during the COVID-19 outbreak based on an online sample of 1031 Chinese adults and provides support for the applicability of PRISM framework in the situation of a novel high-level risk. The results indicate that information seeking is primarily directed by informational subjective norms (ISN) and perceived seeking control (PSC), while the (...) main predictors of information avoidance include ISN and attitude toward seeking. Because ISN are the strongest predictor of both information seeking and avoidance, the way the public copes with COVID-19 information may be strongly affected by individuals' social environment. Furthermore, a significant relationship between risk perception and affective risk response is identified. Our results also indicate that people who perceive greater knowledge of COVID-19 are more likely to report greater knowledge insufficiency, which results in less information avoidance. (shrink)

Information avoidance is a prevalent communication phenomenon that is less well understood than information seeking. The present study adopts a social-normative perspective on information avoidance as social norms are powerful drivers of behaviors. We aim to separate various types of avoidance-related norms and examine how they relate to information avoidance intentions about the COVID-19 vaccination. Our online survey of a stratified sample of the German population (N = 1,508) revealed that there are personal and societal-level (...) injunctive, descriptive and subjective norms. Except for societal-level descriptive norms, all norms were related to increased avoidance intention. Personal-level norms were revealed to be more important than societal-level norms in predicting avoidance behaviors. (shrink)

Civil Protection and disaster risk specific agencies legally responsible to enhance individual and community resilience, still utilize in their risk and crisis communication efforts, the “deficit model” even though its basic assumption and approach have been criticized. Recent studies indicate that information seeking behavior is not necessarily a measure of enhanced individual preparedness. A qualitative change from “blindly” following directions to practicing emergency planning and becoming your own disaster risk manager is required. For pandemics, (...) the challenge is even more complicated due to their unique characteristics. Community based exercises, a framework concept encompassing a variety of interactive activities, have recently started being utilized to develop resilience amongst citizens. Existing models of resilience can pinpoint to the required knowledge, skills and attitude. Research in the factors influencing behavioral change could offer new understanding of the interplay between cognitive and demographic drivers/factors of resilience. Such knowledge could be utilized for setting targeted objectives, developing appropriate activities and the corresponding training for the CBEx facilitators. Despite the importance of preparation, the current covid-19 crisis indicates that high levels of adaptive resilience can be displayed even in the absence of any risk communication effort beforehand by utilizing a pre-existing collective understanding of the system situation. (shrink)

Although various studies have shown thatfarmers believe there is the need for a producer-ledinitiative to address the environmental problems fromagriculture, farmers in several Canadian provinceshave been reluctant to widely participate inEnvironmental Farm Plan (EFP) programs. Few studieshave examined the key issues associated with adoptingEFP programs based on farmers', as opposed to policymakers', perspectives on why producers are reluctantto participate in the program. A study adapting VanRaaij's (1981) conceptual model of the decision-makingenvironment of the firm, and prospect theory on valuefunctions (...) associated with the gains and losses fromrisky choices can be used to characterize how farmersperceive potential risks in environmental farmplanning. This framework can be used to assert thatfarmers are concerned about risks of public disclosureof potentially incriminating environmental informationfrom farms because the EFP program requirements foridentification and extensive documentation of farminformation is perceived by farmers as facilitatingthe accessibility of environmental information to thepublic, and public investigative efforts. Although theEFP program does not explicitly generate informationabout the environmental conditions of a farm nor thedisclosure of such information to the public, itcreates the possibility of generating and divulgingpotentially incriminating information that the farmermay want to treat as confidential. Yet, alone, theserisks of public disclosure concerns should not preventfarmers from participating in the EFP. Awareness ofand participation in environmental farm planning canbe increased if farmers and policy makers understandwhat the risks are, and how they arise. Aspects of theEFP process that have the potential to generate riskof public disclosure concerns relate to farm reviews,documentation and record keeping, and correctiveaction plans. There are legal and policy instrumentsthat can offer various forms of protection and helpminimize such risks, and these need to be assessed. (shrink)

Management of modern economic systems in the context of increasing influence of different types of risks requires significant improvement. Among such systems are logistics systems, which play an important role in the optimization of economic processes and require the use of information technology, which will facilitate faster and more accurate management decisions making. The purpose of scientific work is to develop a new approach to risk management of logistics systems, which will allow to plan more effectively, evaluate and (...) control logistics processes by using information technology. To ensure more flexible risk management, it is possible to change the parameters and configuration of the recommended model in accordance with the conditions of its formation. (shrink)

Which artificial intelligence (AI) systems are agents? To answer this question, I propose a multidimensional account of agency. According to this account, a system's agency profile is jointly determined by its level of goal-directedness and autonomy as well as is abilities for directly impacting the surrounding world, long-term planning and acting for reasons. Rooted in extant theories of agency, this account enables fine-grained, nuanced comparative characterizations of artificial agency. I show that this account has multiple important virtues and is more (...) informative than alternatives. More speculatively, it may help to illuminate two important emerging questions in AI ethics: 1. Can agency contribute to the moral status of non-human beings, and how? 2. When and why might AI systems exhibit power-seeking behaviour and does this pose an existential risk to humanity? (shrink)

Since the COVID-19 pandemic, the tourism economy has been seriously affected. China has implemented a direct traveling management mechanism and recovered from the pandemic faster than the rest of the world. However, the COVID-19 situation is complicated and uncontrollable because of the available unclear information including difficult medical terminologies. This study attempts to find the determinants of the travel intention of China’s tourists in the post-COVID-19 epidemic. Along with information overload and perception risk, an expanded research (...) class='Hi'>model of the Theory of Planned Behavior was employed to propose the theoretical framework of this study. A survey was conducted among 518 tourists who spend their holiday in Hainan, which is a popular tourist destination in China. The empirical results show that information overload positively and significantly impacted perceived risk. Furthermore, perceived risk negatively affects the intention to travel. Perceived risk also negatively affected the attitude toward traveling. However, response self-efficacy did not have a significant effect on the intention to travel. Finally, based on the analysis results, this study proposes relevant research contributions and practical recommendations with management implications for the travel industries. (shrink)

Behavioral Finance is an evolving field that studies how psychological factors affect decision making under uncertainty. This study seeks to find the influence of certain identified behavioral financial biases on the decision-making process of investors in developing countries. This research examines the moderating effect of Information asymmetry on the two most important and commonly used cognitive biases, namely Anchoring bias and Optimism bias and decision making and investigates whether Risk perception mediates the relationship between them or not. Quantitative (...) research has been conducted using a structured questionnaire for data collection. After completing the pilot study, a questionnaire was designed and sent to investors via online channels. Data has been collected from 317 real estate investors. Mediation analysis has been performed using model 4 and moderation analysis by applying model 15 of Process Macros for the interaction effect. The study investigated that both cognitive biases have a significant positive effect on investors’ decisions and Risk perception also significantly mediates the relationship between them. Consistency with other studies suggests that Information asymmetry has a significant moderating effect. The proposed conceptual model provides insight into how investors’ decisions are influenced by behavioral biases in the real estate sector and enhances the understanding of cognitive biases in the real estate sector. This study is recommended for real estate investors and policymakers of emerging and developed countries. The current study is the first of its kind, focusing on cognitive biases on investment decisions with mediating role of Risk perception and the moderating effect of Information asymmetry. (shrink)

Explainable artificial intelligence has become a vitally important research field aiming, among other tasks, to justify predictions made by intelligent classifiers automatically learned from data. Importantly, efficiency of automated explanations may be undermined if the end user does not have sufficient domain knowledge or lacks information about the data used for training. To address the issue of effective explanation communication, we propose a novel information-seeking explanatory dialogue game following the most recent requirements to automatically generated explanations. Further, (...) we generalise our dialogue model in form of an explanatory dialogue grammar which makes it applicable to interpretable rule-based classifiers that are enhanced with the capability to provide textual explanations. Finally, we carry out an exploratory user study to validate the corresponding dialogue protocol and analyse the experimental results using insights from process mining and argument analytics. A high number of requests for alternative explanations testifies the need for ensuring diversity in the context of automated explanations. (shrink)

An online world exists in which businesses have become burdened with managerial and legal duties regarding the seeking of informed consent and the protection of privacy and personal data, while growing public cynicism regarding personal data collection threatens the healthy development of marketing and e-commerce. This research seeks to address such cynicism by assisting organisations to devise ethical consent management processes that consider an individual’s attitudes, their subjective norms and their perceived sense of control during the elicitation of consent. (...) It does so by developing an original conceptual model for online informed consent, argued through logical reasoning, and supported by an illustrative example, which brings together the autonomous authorisation (AA) model of informed consent and the theory of planned behaviour (TPB). Accordingly, it constructs a model for online informed consent, rooted in the ethic of autonomy, which employs behavioural theory to facilitate a mode of consent elicitation that prioritises users’ interests and supports ethical information management and marketing practices. The model also introduces a novel concept, the informed attitude, which must be present for informed consent to be valid. It also reveals that, under certain tolerated conditions, it is possible for informed consent to be provided unwillingly and to remain valid: this has significant ethical, information management and marketing implications. (shrink)

Planned home birth has been considered by some to be consistent with professional responsibility in patient care. This article critically assesses the ethical and scientific justification for this view and shows it to be unjustified. We critically assess recent statements by professional associations of obstetricians, one that sanctions and one that endorses planned home birth. We base our critical appraisal on the professional responsibility model of obstetric ethics, which is based on the ethical concept of medicine from (...) the Scottish and English Enlightenments of the 18th century. Our critical assessment supports the following conclusions. Because of its significantly increased, preventable perinatal risks, planned home birth in the United States is not clinically or ethically benign. Attending planned home birth, no matter one’s training or experience, is not acting in a professional capacity, because this role preventably results in clinically unnecessary and therefore clinically unacceptable perinatal risk. It is therefore not consistent with the ethical concept of medicine as a profession for any attendant to planned home birth to represent himself or herself as a “professional.” Obstetric healthcare associations should neither sanction nor endorse planned home birth. Instead, these associations should recommend against planned home birth. Obstetric healthcare professionals should respond to expressions of interest in planned home birth by pregnant women by informing them that it incurs significantly increased, preventable perinatal risks, by recommending strongly against planned home birth, and by recommending strongly for planned hospital birth. Obstetric healthcare professionals should routinely provide excellent obstetric care to all women transferred to the hospital from a planned home birth. The professional responsibility model of obstetric ethics requires obstetricians to address and remedy legitimate dissatisfaction with some hospital settings and address patients’ concerns about excessive interventions. Creating a sustained culture of comprehensive safety, which cannot be achieved in planned home birth, informed by compassionate and respectful treatment of pregnant women, should be a primary focus of professional obstetric responsibility. (shrink)

Drawn upon optimum stimulation level theory, and in view of the impact of mobile terminal usage on tourist decision-making, the present study aims to investigate how personality influences tourist trip planning behavior in the mobile era. A sample of 344 respondents in China completed measures of sensation seeking, travel risk perception, smartphone usage, as well as tourist planfulness. Results indicated that sensation seeking was negatively associated with tourist planfulness and travel risk perception partially mediated this association. (...) Besides, both the direct effect of sensation seeking on tourist planfulness and the indirect effect of travel risk perception were moderated by smartphone usage, in that these effects were stronger for tourists with a high-level of smartphone usage than those with low-level smartphone usage. This study can significantly advance existing research on tourist behavior from the perspective of personality and reconfiguring our traditional understanding on tourist decision-making in the mobile era. Our study may also provide indicative support for theoretical perspective that information technology is changing customer behavior. (shrink)

This poster presents results from applying agent-based modeling to an exploration of risk attitudes and rational decision making in the context of group interaction. We are also interested in the place of agent-based modeling and computational philosophy within the computational humanities. Computational philosophy has not typically been included in Digital Humanities; computational work has been done using philosophy texts as a source for analysis (Kinney 2022; Malaterre et al. 2021; Fletcher et al. 2021; Zahorec et al. 2022), but there (...) are few examples of philosophical arguments being made based on computation (Zahorec et al. 2022). Modeling is largely accepted as a computational humanist method (McCarty 2004; So 2022), but typically models are based on data rather than designed simulations as a method analogous to a thought experiment (Mayo-Wilson / Zollman 2021). Agent-based modeling is not as common in computational humanities, but we are interested in its potential; for instance, see work modeling correspondence networks to better understand lost information and biases in correspondence data sets (Buarque / Vogl 2023), or work simulating past human societies (Romanowska et al. 2021). Our project explores Lara Buchak’s theory of risk-weighted rational decision making by extending it to the context of group populations and interactions. Buchak has proposed risk-weighted expected utility maximization, which incorporates individual risk attitudes into the standard expected utility (EU) calculation based on utility and probability of outcomes (Buchak 2017). This theory provides an explanation for differences of behavior seen in human populations, while still allowing those different choices to be rational. Buchak’s theory has previously only been applied to individual decision making; our work uses agent-based modeling to develop and analyze simulations which incorporate a variety of risk attitudes (risk avoidance and risk seeking) into game theoretic interactions. This project is a collaboration between a philosopher and a research software engineer; we have worked together to develop simulations that implement agents with risk attitudes making risky choices. This presentation focuses on results from an implementation of a hawk/dove game with multiple risk attitudes and risk attitude adjustment. In the hawk/dove game cooperation, or playing dove, is better for the population, but acting aggressively, or playing hawk, is better for an individual if they are in a neighborhood of doves. To set up the game, we place agents on a grid and have them play against each of their neighbors, and accumulate payoffs based on the success of their plays. We define risk attitudes 0 through 9, where that number corresponds to the minimum number of neighbors playing dove for an agent to play hawk. An agent with risk attitude 0 is most risk seeking and always plays hawk; an agent with risk attitude 1 will play hawk if at least one neighbor plays dove; an agent with risk attitude 9 always takes the safe choice and plays dove; an agent with risk attitude 4 or 5 is risk neutral (breaking ties in different ways), which corresponds to expected utility. In this simulation we randomly set agent initial risk attitudes, and then every ten rounds agents compare their payoffs with their neighbors and adopt the most successful risk attitude in their neighborhood. The simulation is coded to stop once risk attitude adjustments stabilize. We define 13 different population states based on primary and second majority of risk averse, risk inclined, or risk moderate, and analysis of over 1 million runs indicate that while it’s more likely to stabilize with the population having become majority risk inclined, that is not the only outcome; we also see cases where the population stabilizes as risk neutral, risk avoidant, and many cases with no clear majority. This diversity of stable populations provides support for the argument that no one risk attitude is uniquely rational, but rather that risk attitudes are conventional. This matches what we observe in the real world: that different populations have different risk attitudes. Our simulations include numerous parameters to vary grid size; adjustment frequency, strategy, and wealth comparison; neighborhood sizes for observing previous choice, playing against, and comparing payoffs for adjusting risk attitudes; and different distributions for initializing risk attitudes. Analysis of parameters and adjusted risk attitudes shows that the strongest correlations are the initial distribution of risk attitudes, which tend to be preserved. * * * This poster was accepted and presented at the DH2024 conference in Washington, D.C. (shrink)

The financial risk information diffuses through various kinds of social networks, such as Twitter and Facebook. Individuals transmit the financial risk information which can migrate among different platforms or forums. In this paper, we propose a financial risk information spreading model on metapopulation networks. The subpopulation represents a platform or forum, and individuals migrate among them to transmit the information. We use a discrete-time Markov chain approach to describe the spreading dynamics’ evolution (...) and deduce the outbreak threshold point. We perform numerical simulation on artificial networks and discover that the financial risk information can be promoted once increasing the information transmission probability and active subpopulation fraction. The weight variance and migration probability cannot significantly affect the financial risk spreading size. The discrete-time Markov chain approach can reasonably predict the above phenomena. (shrink)

Often in insurance decision making, there are risk factors on which the insurer has an informational advantage over the consumer. But when the insurer sets and posts a premium for the consumer to consider, the consumer can potentially use the premium as an informational cue for the loss probability, and thereby to reduce the insurer’s informational advantage. We study, by means of a behavioral model, how consumers would use the premium as an informational cue in such contexts. The (...) belief formation process in our model assumes that both prior knowledge and the premium might have an impact on the consumer’s estimate of the loss probability. Moreover, the premium impacts the estimate through an anchoring-and-adjustment process. The model potentially leads to violations of rational expectations, with which the consumer overestimates the loss probability beyond what could be inferred from the premium, given the premise that the insurer must seek to break even or earn an expected profit. Our model analysis moreover implies that the frequency of such violations is non-increasing as the premium increases. Last, the model implies a generally inverted-U relationship between insurance demand and the premium so that the demand is upward sloping at low premium levels and downward sloping at high premium levels. A pilot field study and a laboratory experiment provide robust evidence for our model implications and calibrations for its parameters. (shrink)

There are complex considerations when planning to disclose an attenuated psychosis syndrome diagnosis. In this review, we evaluate ethical, legal, and clinical perspectives as well as caveats related to full, non- and partial disclosure strategies, discuss societal implications, and provide clinical suggestions. Each of the disclosure strategies is associated with benefits as well as costs/considerations. Full disclosure promotes autonomy, allows for the clearest psychoeducation about additional risk factors, helps to clarify and/or correct previous diagnoses/treatments, facilitates early intervention and bolsters (...) communication between providers but there are important considerations involving heritability, comorbidity, culture, and stigma. Non-disclosure advances nonmaleficence by limiting stigma and stress, and confusion in a sensitive developmental period but is complicated by varying patient preferences and the possibility that, as new treatments without adverse effects become available, the risk with false positives no longer justifies the accompanying loss of autonomy. Partial disclosure balances ethical considerations by focusing on symptoms instead of labels, but evidence that laypersons may interpret this information as a pseudo-diagnosis and that symptoms alone also contribute to stigma limits the efficacy of this approach. In addition, there are notable societal considerations relating to disclosure involving conservatorship, the reach of insurance companies, and discrimination. We advocate a hybrid approach to disclosure and recommend future research aimed at understanding the effects of stigma on clinical course and a renewed focus on those help-seeking cases that do not transition but remain clinically relevant. (shrink)

When developing computational models to analyze the tradeoffs between climate risk management strategies (i.e., mitigation, adaptation, or geoengineering), scientists make explicit and implicit decisions that are influenced by their beliefs, values and preferences. Model descriptions typically include only the explicit decisions and are silent on value judgments that may explain these decisions. Eliciting scientists’ mental models, a systematic approach to determining how they think about climate risk management, can help to gain a clearer understanding of their modeling (...) decisions. In order to identify and represent the role of values, beliefs and preferences on decisions, we used an augmented mental models research approach, namely values-informed mental models (ViMM). We conducted and qualitatively analyzed interviews with eleven climate risk management scientists. Our results suggest that these scientists use a similar decision framework to each other to think about modeling climate risk management tradeoffs, including eight specific decisions ranging from defining the model objectives to evaluating the model’s results. The influence of values on these decisions varied between our scientists and between the specific decisions. For instance, scientists invoked ethical values (e.g., concerns about human welfare) when defining objectives, but epistemic values (e.g., concerns about model consistency) were more influential when evaluating model results. ViMM can (i) enable insights that can inform the design of new computational models and (ii) make value judgments explicit and more inclusive of relevant values. This transparency can help model users to better discern the relevance of model results to their own decision framing and concerns. (shrink)

BackgroundHealth data holds great potential for improved treatments. Big data research and machine learning models have been shown to hold great promise for improved diagnostics and treatment planning. The potential is tied, however, to the availability of personal health data. In recent years, it has been argued that data from health records should be available for health research, and that individuals have a duty to make the data available for such research. A central point of debate is whether such secondary (...) use of health data requires informed consent.Main bodyIn response to recent writings this paper argues that a requirement of informed consent for health record research must be upheld. It does so by exploring different contrasting notions of the duty of easy rescue and arguing that none of them entail aperfectduty to participate in health record research. In part because the costs of participation cannot be limited to 1) the threat of privacy breaches, but includes 2) the risk of reduced trust and 3) suboptimal treatment, 4) stigmatization and 5) medicalisation, 6) further stratification of solidarity and 7) increased inequality in access to treatment and medicine. And finally, it defends the requirement of informed consent by arguing that the mere possibility of consent bias provides a rather weak reason for making research participation mandatory, and that there are strong, independent reasons for making.ConclusionArguments from the duty of easy rescue in combination with claims about little risk of harm and potential consent bias fail to establish not only aperfectduty to participate in health record research, but also that participation in such research should be mandatory. On the contrary, an analysis of these arguments indicates that the duty to participate in research is most adequately construed as animperfectduty, and reveals a number of strong reasons for insisting that participation in health records research is based on informed consent. (shrink)

In response to the continued expansion of “red flag” laws allowing broader classes of people to petition a court for the removal of firearms from individuals who exhibit dangerous conduct, this paper argues that state laws should adopt a double-filter provision that balances individual rights and government public safety interests. The main component of such a provision is a special statutory category — “reporting party” — that enables a broader social network, such as co-workers or school administrators, to request that (...) a law enforcement officer file a petition for an Extreme Risk Protection Order. A double-filter provision would not give reporting parties a right to file a court petition directly. Instead, parties would file a request for petition with law enforcement officers, who must seek an ERPO from the court if they find the reporting party's information credible. That information is then transmitted to the court as a sworn affidavit of the reporting party. The goal is to facilitate a balanced policy model that widens the reporting circle in order to feed more potentially life-saving information into the system, mitigates the risk of erroneous deprivation of constitutionally protected due process and Second Amendment rights. (shrink)

People seeking asylum are at risk of receiving poorer quality healthcare due, in part, to racist and discriminatory attitudes, behaviours and policies in the health system. Despite fleeing war and conflict; exposure to torture and traumatic events and living with uncertainty; people seeking asylum are at high‐risk of experiencing long‐term poor physical and mental health outcomes in their host country. This article aims to raise awareness and bring attention to some common issues people seeking asylum (...) face when seeking healthcare in high‐income countries where the health system is dominated by a Western biomedical view of health. Clinical case scenarios are used to highlight instances of racist healthcare policies and practices that create and maintain ongoing health disparities; limited access to culturally and linguistically appropriate health services, and lack of trauma‐informed approaches to care. Nurses and midwives can play an important role in countering racism in healthcare settings; by identifying and calling out discriminatory practice and modelling tolerance, respect and empathy in daily practice. We present recommendations for individuals, organisations and governments that can inform changes to policies and practices that will reduce racism and improve health equity for people seeking asylum. (shrink)

Findings about the desire for health-risk information are heterogeneous and sometimes contradictory. In particular, they seem to be at variance with established psychological theories of information-seeking behavior.The present paper posits the decision about treating illness with medicine as the causal determinant for the expected net value of information, and attempts to explain idiosyncrasies in information-seeking behavior by using the notion of decision sensitivity to incoming information.Furthermore, active information avoidance is explained by (...) modeling the expected emotional distress potentially brought about by “bad news” as a disutility factor in pay-off maximization.In this context two notions of uncertainty are distinguished: an epistemic uncertainty related to the prognostic probability assigned to the risk, and an emotional uncertainty related to the expected damage. Health-risk information can both reduce epistemic and increase emotional uncertainty, giving rise to idiosyncratic processing strategies. (shrink)

The digital shift leads to increasing changes. Employees can deal with changes through informal learning that enables needs-based development. For successful informal learning, self-regulated learning is crucial, i.e., to set goals, plan, apply strategies, monitor, and regulate learning for example by applying resource strategies. However, existing SRL models all refer to formal learning settings. Because informal learning differs from formal learning, this study investigates whether SRL models can be transferred from formal learning environments into informal work settings. More precisely, are (...) all facets relevant, and what are the relational patterns? Because informal workplace learning occurs through interaction with the context, this study investigates the influence of context, i.e., organizational learning culture and job characteristics on SRL. Structural equation modeling of N = 170 employees in various industries showed the relevance of the self-reported metacognitive strategies planning, monitoring, and regulation; the resource strategies help-seeking and effort regulation; and deep processing strategy elaboration. However, there was no evidence for organization strategies. The learning strategies were associated with self-efficacy and mastery-approach goal orientation. Regarding context, results supported indirect effects over self-motivational beliefs of learning strategies. Organizational learning culture was connected with mastery-approach goal orientation, whereas job characteristics autonomy and feedback were related to self-efficacy, which were again related to SRL strategies. Therefore, context can empower employees not only to accomplish their tasks but to develop themselves by applying SRL strategies. The results are discussed, and practical implications are outlined. (shrink)

Intervening on causal systems can illuminate their underlying structures. Past work has shown that, relative to adults, young children often make intervention decisions that appear to confirm a single hypothesis rather than those that optimally discriminate alternative hypotheses. Here, we investigated how the ability to make informative causal interventions changes across development. Ninety participants between the ages of 7 and 25 completed 40 different puzzles in which they had to intervene on various causal systems to determine their underlying structures. Each (...) puzzle comprised a three‐ or four‐node computer chip with hidden wires. On each trial, participants viewed two possible arrangements of the chip's hidden wires and had to select a single node to activate. After observing the outcome of their intervention, participants selected a wire configuration and rated their confidence in their selection. We characterized participant choices with a Bayesian measurement model that indexed the extent to which participants selected nodes that would best disambiguate the two possible causal structures versus those that had high causal centrality in one of the two causal hypotheses but did not necessarily discriminate between them. Our model estimates revealed that the use of a discriminatory strategy increased through early adolescence. Further, developmental improvements in intervention strategy were related to changes in the ability to accurately judge the strength of evidence that interventions revealed, as indexed by participants' confidence in their selections. Our results suggest that improvements in causal information‐seeking extend into adolescence and may be driven by metacognitive sensitivity to the efficacy of previous interventions in discriminating competing ideas. (shrink)

This article describes a case study in which community consultation was used to assist in the preparation of a research project on viewing self in the mirror after mastectomy. Breast cancer survivors, nurses, and other health care professionals were consulted using a variety of interactive modalities. Over a period of three months, pre-research planning information was obtained from participants. A descriptive qualitative design was used to analyze the data. The ethical goals of community consultation provided the framework for dialogue (...) and the synthesis of information. During this project, the potential benefits of the proposed research study were explored. Possible risks to future participants were discussed, and recommendations for participant protection suggested. Community members provided insight into the legitimacy of the study. Community consultation is a tool that researchers may consider when designing studies. (shrink)

Response to wrongdoing is modeled as a decision process in an organizational context. The model is grounded in theory of risk, ambiguity, and informational influences on decision making. Time pressure, inadequate information and coworker influences are addressed. Along the way, a handful of propositions are provided which emphasize influences on the actual choice between response options.

In lieu of an abstract, here is a brief excerpt of the content:Adjudicating the Debate Over Two Models of Nature AppreciationSheila Lintott (bio)It seems commonplace to point out that we aesthetically appreciate a wide variety of objects: that is, art objects are not the only good candidates for aesthetic appreciation.1 We know from experience that one can aesthetically appreciate not only Georgia O'Keefe's White Trumpet Flower, but also a white trumpet flower. Similarly, we can aesthetically appreciate both a pictorial representation (...) of the human form and that form instantiated in certain prime specimens. We do so, moreover, without classifying either flowers or human beings as art objects. Yet, the paradigm of aesthetic appreciation today, in both everyday life and in educative contexts, is the appreciation of art, which explains why we tend to try to understand what makes aesthetic appreciation appropriate in terms of what makes art appreciation appropriate. This approach may not be entirely mistaken, for beginning with the familiar is always a good plan. However, it must be done with care, otherwise important differences between our relationships with the art we appreciate and with the nature we appreciate may be overlooked, thereby obscuring salient differences in the appreciation of each.In this essay, I focus on the issue of the appropriate aesthetic appreciation of nature and offer an overview of a contemporary debate on the topic. I begin with a general discussion of art and nature appreciation. I then summarize Kendall Walton's theory of appropriate art appreciation and explain his skepticism regarding the possibility of appropriate and inappropriate nature appreciation. Next, I discuss two models according to which Walton is mistaken, as the philosophers who present these models, Allen Carlson and Noël Carroll, do so to illustrate how nature appreciation can be properly considered appropriate or inappropriate. It may seem that given the recent proliferation of models of nature appreciation, the last thing we should seek is yet another model. However, in the end, I shall argue the need for a new and different kind of model, one that is a revisionist and extensionist model of nature appreciation. [End Page 52]Art and Nature AppreciationConcerning the perceptual activity of the audience, how we ought to appreciate artworks is largely uncontroversial. Perhaps this is why Carlson opens his attempt to understand the aesthetic appreciation of nature with a presentation of the aesthetic appreciation of art, explaining that "with art objects there is a straightforward sense in which we know both what and how to aesthetically appreciate."2 Although not all artworks offer "straightforward" examples of aesthetic appreciation, Carlson's general point is reasonably motivated. As Kendall Walton succinctly explains: "Paintings and sculptures are to be looked at; sonatas and songs are to be heard. What is important about these works of art, as works of art, is what can be seen or heard in them."3 That we ought to look at paintings and listen to sonatas seems obvious for at least two reasons. First, via formal education and informal interactions, we have grown familiar with the conventions of art appreciation; second, such conventions find experiential reinforcement when, for example, our auditory sense is tickled by a Mozart concerto.4Underlying our relative lack of confidence when it comes to nature appreciation is the obvious fact that nature, unlike art, is not an artifact. Nature was not made by beings like us; it was made neither for our use, nor for our entertainment, nor for our appreciation.5 As Carlson puts it, "art objects are our own creations; it is for this reason that we know what is and what is not part of a work, which of its aspects are of aesthetic significance, and how to appreciate them" (ANE, 41). We need, therefore, a model of nature appreciation that will serve as a source of education regarding how best to appreciate nature and will offer the confidence we lack and the guidance we seek.It might seem that we should simply apply our knowledge of art to nature appreciation — that is, appreciate nature as if it were art. However, as numerous philosophers have noticed, this approach is mistaken.6 The mistake is both theoretical and practical. Theoretically, it is a category error... (shrink)

Mounting evidence shows that zero-tolerance policies, suspensions, and restrictive security policies fail to improve school safety and student behaviors, and are linked with increased risk of dropping out. Minority students are suspended at disproportionate rates, and over a million cases of corporal punishment are reported each year. Against this dismal backdrop, David Dupper presents a transformative new model of school discipline that is preventive, proactive, and relationship-based. Unlike traditional punitive and exclusionary practices, the model developed in this (...) Workshop volume focuses on enhancing students' connection to school through building relationships and bolstering social skills. Drawing on the latest research about what works, and what doesn't, this highly practical guide catalogs an array of proven and promising practices designed to engage, instead of exclude, students. Rather than illustrate a one-size-fits-all approach, it guides practitioners and administrators in identifying their school's unique needs and selecting appropriate strategies for use at the universal, targeted, and remedial levels. A five-step strategic planning model helps schools transition toward a holistic, relationship-based approach to discipline.Boxes, bullets, evidence summaries, and practice tips make this an accessible, forward-thinking resource for school personnel seeking to engage students and reduce behavior problems in the most effective, pragmatic, and cost-efficient manner possible. (shrink)

The study aimed to identify the role of administrative procedures and systems in enhancing the performance of the educational institutions in the Islamic University in Gaza. To achieve the research objectives, the researchers used the analytical descriptive approach to collect information. The researchers used the questionnaire distributed to three categories of employees at the Islamic University (senior management, faculty members, their assistants and members of the administrative board). A random sample of 314 employees was selected and 276 questionnaires were (...) retrieved with a recovery rate of 88.1%. The Statistical Analysis Program (SPSS) was used to enter process and analyze data. The results of the research showed a positive role for the administrative procedures and systems in enhancing the performance of the Islamic University from the point of view of the members (senior management, teaching staff and their assistants and the administrative body), where the relative weight of all the paragraphs (73.728%). The analysis of the results revealed that the administrative procedures at the Islamic University in Gaza are used to an acceptable degree. The relative weight of all the paragraphs is 70%. This indicates a relationship between administrative procedures and regulations and the performance of the Islamic University in the Gaza Strip. The study found that there was a good degree of approval from the sample regarding the administrative procedures and their relationship to the job performance. There exist a sufficient degree of powers to the deans and department managers to carry out their tasks, with the use of plans as control tools. And that there are rules and procedures provided for decision-making in the University Council. It also has full powers to manage the university to improve the teaching and learning environment. The researchers also recommended a number of recommendations, including the need to follow up on the procedures and systems of management and update them continuously in the light of changes that may occur and to ensure the existence of a strong system of electronic information systems within the university. There is a need to provide mechanisms for obtaining information about the surrounding external environment, and effective mechanisms to provide managers with the necessary information in a timely manner. The importance of providing channels of communication that enables staff to communicate information about any violations and breaches. The study also recommended the follow-up, review, procedures and administrative systems, and work to modify them in line with the mission of the university and the objectives that the university seeks to reach. (shrink)

BackgroundAge related differences were found in prevention behavior, showing that older individuals tend to be the most proactive. The aim of the study was the identification of psychological predictors on COVID-19 prevention behavior in women, across four generations. In addition, the predictive role of the psychological variables was explored through the lens of negative and positive information processing perspective on total and domain-specific COVID-19 prevention behavior.MethodsA cross-sectional research was conducted. The sample included 834 Hungarian speaking women. The assessed variables (...) were: COVID-19 knowledge, risk perception, COVID-19 health anxiety, negative automatic thoughts, psychological flexibility, and four domains of COVID-19 prevention behavior (social distancing, general hygiene, information seeking, health behavior). A three-level hierarchical linear regression analysis was conducted to investigate the predictors of preventive behavior in each generation.ResultsA diversity across generations was found. In case of baby boomer generation, the final model explained 32.4% of the variance for total prevention behavior [F(14,215) = 8.847,p< 0.001], and only perceived risk made a significant contribution. For Gen X the final model accounted for 21.1% of variance of total prevention behavior [F(14,341) = 7.788,p< 0.001], marital status, perceived risk, COVID-19 health anxiety, and negative automatic thoughts made significant contributions. In case of Gen Y the final model accounted for 6.2% of variance on total prevention behavior [F(14,147) = 1.761,p= 0.05], only perceived risk had a contribution to the final model. For Gen Z the final model accounted for 23.4% of variance on total preventive behavior [F(13,71) = 2.979,p= 0.002], and only psychological flexibility made a contribution to the model. The results on the distinct domains of COVID-19 prevention behavior emphasized details in the dissimilarity among generations.ConclusionThe role of generational identity on COVID-19 prevention behavior is relevant. The coexistence of negative and positive information processing may have its beneficial role in certain areas of prevention. (shrink)

The dialogical games introduced in Jaakko Hintikka, Information-Seeking Dialogues: A Model, (Erkenntnis, vol. 14, 1979) are studied here to answer the question as to what the natural logic or the logic of natural language is. In a natural language certain epistemic elements are not explicitly indicated, but they determine which inference rules are valid. By means of dialogical games, the question is answered: all classical first-order rules have to be modified in the same way in which some (...) of them are modified in the transition to intuitionistic logic. (Furthermore, in some cases quantificational rules have to be modified further.) The rules that are left unmodified by intuitionists are applicable only to the output of certain game rules, but not to others. In. this sense, neither classical nor yet intuitionistic logic is the logic of natural language. We need a new type of nonclassical logic, justified by our information-seeking dialogues. (shrink)

Psychopathy is increasingly in the public eye. However, it is yet to be fully and effectively understood. Within the context of the DSM-IV, for example, it is best regarded as a complex family of disorders. The upside is that this family can be tightly related along common dimensions. Characteristic marks of psychopaths include a lack of guilt and remorse for paradigm case immoral actions, leading to the common conception of psychopathy rooted in affective dysfunctions. An adequate portrait of psychopathy is (...) much more complicated, however. Though some neural regions and corresponding functions are commonly indicated, they range across those responsible for action planning and learning, as well as emotional processes. Accordingly, a complete fine-grained map of all neural mechanisms responsible for psychopathy has not been realized, and even if it were, such a map would have limited utility outside of the context of surgical or chemical intervention. The utility of a neural-level understanding of psychopathy is further limited by the fact that it is only applicable in the clinical identification of individual subjects, and the neuro-chemical/biological correction of those subjects after they are positively identified as psychopaths. On the other hand, an information processing model of moral cognition provides for wider-ranging applications. The theoretical and practical implications for such a feasible working model of psychopathic personalities are assessed. Finally, this chapter raises the possibility of directed modification of social-environmental factors discouraging the development of psychopathic personalities in the first place, modifications which are also open to simulation and testing in terms of the same model of moral cognition. (shrink)

In Latin America, policies on inclusive education in the university are implemented in an irrelevant way, despite the foundations that seek a university that guarantees in all students the learning, skills and competences they need. To try to provide solutions, the Social Model of Inclusive Education (MSEI) is proposed, which allows identifying management in inclusive education, by calculating the effectiveness index, using the cause-effect structure among three variables: i) policies in inclusive education, ii) conditions presented by students and iii) (...) attitudes towards students. The variables are derived into indicator variables, developing items that allow the collection of information with all the members of a higher education institution; thus formalizing a mathematical model of structural equations. The MSEI was applied as a pilot plan in a higher education institution in Ecuador, showing that the management effectiveness index in inclusive education is 60.3%, related to a work of greater weight in indicator variables such as: support that provides the educational institution to the students, the socio-economic situation of the students and the differentiated assessment of learning. (shrink)

As a way to address both ominous and ordinary threats of artificial intelligence, researchers have started proposing ways to stop an AI system before it has a chance to escape outside control and cause harm. A so-called “big red button” would enable human operators to interrupt or divert a system while preventing the system from learning that such an intervention is a threat. Though an emergency button for AI seems to make intuitive sense, that approach ultimately concentrates on the point (...) when a system has already “gone rogue” and seeks to obstruct interference. A better approach would be to make ongoing self-evaluation and testing an integral part of a system’s operation, diagnose how the system is in error and to prevent chaos and risk before they start. In this paper, we describe the demands that recent big red button proposals have not addressed, and we offer a preliminary model of an approach that could better meet them. We argue for an ethical core that consists of a scenario-generation mechanism and a simulation environment that are used to test a system’s decisions in simulated worlds, rather than the real world. This EC would be kept opaque to the system itself: through careful design of memory and the character of the scenario, the system’s algorithms would be prevented from learning about its operation and its function, and ultimately its presence. By monitoring and checking for deviant behavior, we conclude, a continual testing approach will be far more effective, responsive, and vigilant toward a system’s learning and action in the world than an emergency button which one might not get to push in time. (shrink)

The key problems and challenges connected with the Covid-19 pandemic in the field of education in sub-Saharan Africa are described in this paper. The study is based on the information collected from teachers and parents during the lockdown. The main problems connected with the organization of distance learning, such as the availability and accessibility of electricity and stable communications, were described. The main questions connected with the support of e-learning such as unequal access to distance education platforms and tools (...) and readiness of teachers of public and private schools were described. Key social and demographic challenges and threats to sustainable e-learning, such as critical overload of teachers, child mobilization for domestic tasks, age, ethnic and gender-based harassment and violence were analyzed. It was found that the main risks are the rapid and uncontrolled commercialization of education and the decline of public schools, which leads to a decrease in the quality of education and increasing inequality. It was concluded that pandemic-induced risks in education are non-linear and heterogeneously spatially, temporally, and socially distributed. The successful strategy of these risks reduction aimed at sustainable education should be based on transition plans, which must include not only the development of sustainable education but also the fighting against inequality. (shrink)

This scoping review mapped the academic literature focused on the therapeutic itinerary of children who seek care in health services and proposed an explanatory model to expand the concept and classification of these health itineraries. A total of 789 articles were reviewed, of which 28 were eligible for inclusion. In these 28 it was possible to observe that the child's therapeutic itinerary is more than a physical path, but also encompasses all choices within a specific social and cultural environment (...) in which the child is inserted. Our proposal is to expand the concept beyond the therapeutic, classifying the itinerary also according to the objective, the decision‐making agent, respect for the presence of company, the health subsystem used, according to the physical continuity of the itinerary, the perception of efficacy of the patient, the nature of the illness, the administration of healthcare, the means of transport used, the person providing information about the itinerary, the planning of the itinerary and its completeness. Knowing the child's itineraries toward healthcare allows the development of innovative discourses and practices for future public policies, through which the principles of comprehensiveness and resoluteness in children's health would be strengthened. There is still a need to deepen knowledge about the meanings and feelings regarding their interpretations of the events suffered in childhood. (shrink)

During the COVID‐19 pandemic, national triage guidelines were developed to address the anticipated shortage of life‐saving resources, should ICU capacities be overloaded. Rationing and triage imply that in addition to individual patient interests, interests of population health have to be integrated. The transfer of theoretical and empirical knowledge into feasible and useful practice models and their implementation in clinical settings need to be improved. This paper analyzes how triage protocols could translate abstract theories of distributive justice into concrete material and (...) procedural criteria for rationing intensive care resources during a pandemic. We reconstruct the development and implementation of a rationing protocol at a German university hospital: describing the ethical challenge of triage, clarifying the aspirational norms, and summarizing specific norms of fair triage and allocation for developing an institutional policy and practice model and implementing it. We reflect on how critical topics are seen by clinicians and what helped manage the perceived burdens of the triage dilemma. We analyze what can be learned from this debate regarding the difficult issues around triage protocols and their potential implementation into clinical settings. Analyzing the ought‐to‐is gap of triage, integrating abstract ethical principles into practical concepts, and evaluating those should clarify the benefits and risks of different allocation options. We seek to inform debates on triage concepts and policies to ensure the best possible treatment and fair allocation of resources as well as to help protect patients and professionals in worst‐case scenarios. (shrink)

Psychopathy is increasingly in the public eye. However, it is yet to be fully and effectively understood. Within the context of the DSM-IV, for example, it is best regarded as a complex family of disorders. The upside is that this family can be tightly related along common dimensions. Characteristic marks of psychopaths include a lack of guilt and remorse for paradigm case immoral actions, leading to the common conception of psychopathy rooted in affective dysfunctions. An adequate portrait of psychopathy is (...) much more complicated, however. Though some neural regions and corresponding functions are commonly indicated, they range across those responsible for action planning and learning, as well as emotional processes. Accordingly, a complete fine-grained map of all neural mechanisms responsible for psychopathy has not been realized, and even if it were, such a map would have limited utility outside of the context of surgical or chemical intervention. The utility of a neural-level understanding of psychopathy is further limited by the fact that it is only applicable in the clinical identification of individual subjects, and the neuro-chemical/biological correction of those subjects after they are positively identified as psychopaths. On the other hand, an information processing model of moral cognition provides for wider-ranging applications. The theoretical and practical implications for such a feasible working model of psychopathic personalities are assessed. Finally, this chapter raises the possibility of directed modification of social-environmental factors (including at the meta-organizational level) discouraging the development of psychopathic personalities in the first place, modifications which are also open to simulation and testing in terms of the same model of moral cognition. (shrink)

The main purpose of the paper is to develop a concept of _model uncertainty_ as opposed to the existing and well-established concept of model risk. Up to date the broad literature on probability not only developed complete probability systems, but also correctly noticed limitations of probability calculus. Despite the acknowledgement of such probability restrictions, drawbacks of modeling are often related to model risk. We present an argument here to distinguish a feature limiting models even further: (...) class='Hi'>model uncertainty. The tenets of it already exist in the literature on probability, but were not properly emphasized while the idea of model risk was developed. Our plan it to start with a broad overview of the existing knowledge about probability in order to start with fundamental principles. From them we are deriving a new concept of model uncertainty. (shrink)

Standard models of adolescent risk taking posit that the cognitive abilities of adolescents and adults are equivalent, and that increases in risk taking that occur during adolescence are the result of socio emotional differences in impulsivity, sensation seeking, and lack of self-control. Fuzzy-trace theory incorporates these socio emotional differences. However, it predicts that there are also cognitive differences between adolescents and adults, specifically that there are developmental increases in gist-based intuition that reflects understanding. Gist understanding, as opposed (...) to verbatim-based analysis, generally has been hypothesized to have a protective effect on risk taking in adolescence. Gist understanding is also an essential element of informed consent regarding risks in medical decision- making. Evidence thus supports the argument that adolescents’ status as mature minors should be treated as an exception rather than a presumption, because accuracy in verbatim analysis is not mature gist understanding. Use of the exception should be accompanied by medical experts’ input on the bottom-line gist of risks involved in treatment. (shrink)

There continues to be significant confusion about the goals, scope, and nature of modelling practice in neuroeconomics. This article aims to dispel some such confusion by using one of the most recent critiques of neuroeconomic modelling as a foil. The article argues for two claims. First, currently, for at least some economic model of choice behaviour, the benefits derivable from neurally informing an economic model do not involve special tractability costs. Second, modelling in neuroeconomics is best understood within (...) Marr’s three-level of analysis framework and in light of a co-evolutionary research ideology. The first claim is established by elucidating the relationship between the tractability of a model, its descriptive accuracy, and its number of variables. The second claim relies on an explanation of what it can take to neurally inform an economic model of choice behaviour. 1 Introduction2 Neurally Informed Models of Choice: A Case Study2.1 A case study on risk-sensitive choice2.1.1 Target and modelling framework2.1.2 Research question and hypotheses2.1.3 Competitive models of risk-sensitive behaviour2.1.4 Model-based fMRI: from economics to brains and back2.2 Neurally informed modelling3 Tractability: When Does Size Matter?4 Neural Integration and the Co-evolutionary Research Ideology5 Conclusion. (shrink)

Ever since the outbreak of the coronavirus disease, people have been flooded with vast amounts of information related to the virus and its social consequences. This paper draws on social amplification theory and the extended parallel process model and assesses the following: how two amplification stations—news media and peoples’ personal networks—influence the risk-related perceptions of people and how these risk-related perceptions impact people’s health-protective behaviors. This study surveyed 1,946 participants. The results indicate that peoples’ exposure to (...) news media significantly and positively predicted both perceived efficacy and perceived threat. It also shows that peoples’ exposure to risk-related information through their personal networks negatively predicted their perceived efficacy, but it positively predicted their perceived threat. The mediating effect of fear was examined, and the result was contradictory to the EPPM. In short, this study reveals the underlying mechanism of individuals’ exposure to risk information, processing, and precautionary measures. (shrink)

Uncertainty, insufficient information or information of poor quality, limited cognitive capacity and time, along with value conflicts and ethical considerations, are all aspects thatmake risk managementand riskcommunication difficult. This paper provides a review of different risk concepts and describes how these influence risk management, communication and planning in relation to forest ecosystem services. Based on the review and results of empirical studies, we suggest that personal assessment of risk is decisive in the management of (...) forest ecosystem services. The results are used together with a reviewof different principles of the distribution of risk to propose an approach to risk communication that is effective aswell as ethically sound. Knowledge of heuristics and mutual information on both beliefs and desires are important in the proposed risk communication approach. Such knowledge provides an opportunity for relevant information exchange, so that gaps in personal knowledge maps can be filled in and effective risk communication can be promoted. (shrink)

The attempts to mitigate the unprecedented health, economic, and social disruptions caused by the COVID-19 pandemic are largely dependent on establishing compliance to behavioral guidelines and rules that reduce the risk of infection. Here, by conducting an online survey that tested participants’ knowledge about the disease and measured demographic, attitudinal, and cognitive variables, we identify predictors of self-reported social distancing and hygiene behavior. To investigate the cognitive processes underlying health-prevention behavior in the pandemic, we co-opted the dual-process model (...) of thinking to measure participants’ propensities for automatic and intuitive thinking vs. controlled and reflective thinking. Self-reports of 17 precautionary behaviors, including regular hand washing, social distancing, and wearing a face mask, served as a dependent measure. The results of hierarchical regressions showed that age, risk-taking propensity, and concern about the pandemic predicted adoption of precautionary behavior. Variance in cognitive processes also predicted precautionary behavior: participants with higher scores for controlled thinking (measured with the Cognitive Reflection Test) reported less adherence to specific guidelines, as did respondents with a poor understanding of the infection and transmission mechanism of the COVID-19 virus. The predictive power of this model was comparable to an approach (Theory of Planned Behavior) based on attitudes to health behavior. Given these results, we propose the inclusion of measures of cognitive reflection and mental model variables in predictive models of compliance, and future studies of precautionary behavior to establish how cognitive variables are linked with people’s information processing and social norms. (shrink)

There has been a movement aiming to teach agents about their privilege by making the information about their privilege as costless as possible. However, some argue that in risk-sensitive frameworks, such as Lara Buchak’s (2013), it can be rational for privileged agents to shield themselves from learning about their privilege, even if the information is costless and relevant. This threatens the efficacy of these information-access efforts in alleviating the problem of elite-group ignorance. In response, I show (...) that even within the same framework, in this case David Kinney and Liam Kofi Bright’s (2021), the rationality of this information avoidance rests on shaky ground in practice. In this framework, whether an agent should avoid information depends on the precise details of (1) how relevant they expect the information to be, (2) their priors about the value of various options, and (3) their risk attitudes. The model suggests that the rationality of elite-group ignorance is a function of structural factors that are pervasive but nonetheless not insurmountable, thus offering a way out of pessimism about elite group education. (shrink)

The development and use of large and dynamic health data repositories designed to support research pose challenges to traditional informed consent models. We used semi-structured interviewing to elicit diverse research stakeholders' views of a model of consent appropriate to participation in initiatives that entail collection, long-term storage, and undetermined future research use of multiple types of health data. We demonstrate that, when considering health data repositories, research stakeholders replace a concept of consent as informed with one in which consent (...) is engaged. In engaged consent, a participant's ongoing relationship with a repository serves as a substitute or adjunct to information exchange at enrollment. We detail research stakeholders' views of the risks of engaged consent and suggest questions for further study about engagement and consent procedures in initiatives that aim to store data for future unspecified research purposes. (shrink)