Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
30
datasets available to search
ShareScore release 0.9.0
Dataset results
30 results for “collective risk”
Timing uncertainty in collective risk dilemmas encourages group reciprocation and polarization
<p><span><span><span><span><span><span><span><span><span><span><span>Social dilemmas are often shaped by actions involving uncertain returns only achievable in the future, such as climate action or voluntary vaccination. In this context, uncertainty may produce non-trivial effects. Here, we assess experimentally — through a collective risk dilemma — the effect of timing uncertainty, i.e. how uncertainty about when a target needs to be reached affects the participants' behaviours. We show that timing uncertainty prompts not only early generosity but also polarised outcomes, where participants' total contributions are distributed unevenly. Furthermore, analysing participants' behaviour under timing uncertainty reveals an increase in reciprocal strategies. A data-driven game-theoretical model captures the self-organizing dynamics underpinning these behavioural patterns. Timing uncertainty thus casts a shadow on the future that leads participants to respond early, while reciprocal strategies appear to be important for group success. Yet, the same uncertainty also leads to inequity and polarisation, necessitating the inclusion of new incentives handling these societal issues. </span></span></span></span></span></span></span></span></span></span></span></p>
Evolution of conditional cooperation in collective-risk social dilemma with repeated group interactions
<p>The question of how cooperation evolves and is sustained over time has been a long-standing and unresolved issue in the fields of evolutionary biology and social sciences. Previous theoretical and experimental research based on the collective-risk social dilemma game has revealed the risk that the failure of collective goals will affect the evolution of cooperation. Considering that in the real world individuals usually adjust their decisions based on environmental factors such as risk intensity and cooperation level, it is still not well understood how such conditional behaviors affect the evolution of cooperation in repeated group interactions scenario from a theoretical perspective. Here, we construct an evolutionary game model with repeated interactions, in which defectors decide whether to cooperate in subsequent rounds of the game based on whether the risk exceeds their tolerance threshold and whether the number of cooperators exceeds the collective goal in the early rounds of the game. We find that the introduction of conditional cooperation strategy can effectively promote the emergence of cooperation, especially when the risk is low. In addition, the risk threshold significantly affects the evolutionary outcomes. Furthermore, our results confirm that a high risk can promote the emergence of cooperation. Importantly, when the risk exceeds the tolerance threshold, timely adjustment of strategies by conditional cooperators is beneficial for maintaining high-level cooperation.</p>
Characterization of data sources for emerging risks identification - Data collection for the identification of emerging risks related to food and feed
<p>The data set presents the results of the quality assessment of data sources by the working group on data collection for the identification of emerging risks related to food and feed. For this assessment, the WG defined text descriptors and quality parameters (i.e. link with indicators, data type, geographic and period coverage, language, edition, timeliness, accessibility, clarity and comparability). These data sources were linked to eleven priority indicators (i.e. the ESCO indicators) and qualitatively assessed and profiled.</p>
Timing uncertainty in collective risk dilemmas encourages group reciprocation and polarization
Open the record for dataset details and reuse information.
Evolution of conditional cooperation in collective-risk social dilemma with repeated group interactions
Open the record for dataset details and reuse information.
Data from: Delegation to artificial agents fosters prosocial behaviors in the collective risk dilemma
<p>Home assistant chat-bots, self-driving cars, drones or automated negotiation systems are some of the several examples of autonomous (artificial) agents that have pervaded our society. These agents enable the automation of multiple tasks, saving time and (human) effort. However, their presence in social settings raises the need for a better understanding of their effect on social interactions and how they may be used to enhance cooperation towards the public good, instead of hindering it. To this end, we present an experimental study of human delegation to autonomous agents and hybrid human-agent interactions centered on a non-linear public goods dilemma with uncertain returns in which participants face a collective risk. Our aim is to understand experimentally whether the presence of autonomous agents has a positive or negative impact on social behaviour, equality and cooperation in such a dilemma. Our results show that cooperation and group success increases when participants delegate their actions to an artificial agent that plays on their behalf. Yet, this positive effect is less pronounced when humans interact in hybrid human-agent groups, where we mostly observe that humans in successful hybrid groups make higher contributions earlier in the game. Also, we show that participants wrongly believe that artificial agents will contribute less to the collective effort. In general, our results suggest that delegation to autonomous agents has the potential to work as commitment devices, which prevent both the temptation to deviate to an alternate (less collectively good) course of action, as well as limiting responses based on betrayal aversion.</p>
Risk of bias in observational studies using routinely collected data of comparative effectiveness research: a meta-research study
<p>We performed a meta-research study by searching PubMed for comparative effectiveness observational studies evaluating therapeutic interventions using routinely collected data published in high impact factor journals from 01/06/2018 to 30/06/2020. We assessed the reporting of study design (i.e., eligibility, treatment assignment, and the start of follow-up). Risk of selection bias and immortal time bias was determined by assessing if the time of eligibility, treatment assignment and the start of follow-up were synchronised to mimic the randomisation following the target trial emulation framework.</p>
A Study That Collects Participant Data and Biospecimens to Analyze Pathogenic Exosomes That Mediate Increased Vascular Dementia Risk in Individuals With Herpes Zoster.
ClinicalTrials.gov study NCT06903078. IPD Sharing: YES. Countries: 1. Publications: 6.
Data from: Delegation to artificial agents fosters prosocial behaviors in the collective risk dilemma
Open the record for dataset details and reuse information.
Data from: Short-lived ants take greater risks during food collection
Life-history theory predicts that organisms should alter their behavior if life expectancy declines. Recent theoretical work has focused on worker life expectancy as an ultimate factor in allocating risk-related tasks among the workforce in social insects. A key prediction of this evolutionary model is that workers with shorter life expectancy should perform riskier tasks. We tested this hypothesis using laboratory colonies of the ant Myrmica scabrinodis and modified foraging so that it differed in level of risk by manipulating distances, temperatures and the presence of competitors on foraging patches. The life expectancies of foragers were shortened by poisoning with carbon dioxide or by injury through removal of their propodeal spines. Both treatments significantly shortened worker life expectancy in comparison with untreated ants. We showed, for the first time, that foragers with a shorter life expectancy (poisoned or injured) foraged under risk more often than foragers in the control group. Thus, a worker's strategy of foraging under risky circumstances seems fine-tuned to its life expectancy.
Individual and collective encoding of risk in animal groups
The need to make fast decisions under risky and uncertain conditions is a widespread problem in the natural world. While there has been extensive work on how individual organisms dynamically modify their behavior to respond appropriately to changing environmental conditions (and how this is encoded in the brain), we know remarkably little about the corresponding aspects of collective information processing in animal groups. For example, many groups appear to show increased "sensitivity" in the presence of perceived threat, as evidenced by the increased frequency and magnitude of repeated cascading waves of behavioral change often observed in fish schools and bird flocks under such circumstances. How such context-dependent changes in collective sensitivity are mediated, however, is unknown. Here we address this question using schooling fish as a model system, focusing on 2 nonexclusive hypotheses: 1) that changes in collective responsiveness result from changes in how individuals respond to social cues (i.e., changes to the properties of the "nodes" in the social network), and 2) that they result from changes made to the structural connectivity of the network itself (i.e., the computation is encoded in the "edges" of the network). We find that despite the fact that perceived risk increases the probability for individuals to initiate an alarm, the context-dependent change in collective sensitivity predominantly results not from changes in how individuals respond to social cues, but instead from how individuals modify the spatial structure, and correspondingly the topology of the network of interactions, within the group. Risk is thus encoded as a collective property, emphasizing that in group-living species individual fitness can depend strongly on coupling between scales of behavioral organization.
Supporting Datasets and Notebook for the manuscript: "Humans program artificial delegates to accurately solve collective-risk dilemmas but lack precision"
Open the record for dataset details and reuse information.
Collect of Cord Blood From Subjects at Risk for Sickle Cell Disease, for the Purpose of Laboratory Research
ClinicalTrials.gov study NCT03876821. IPD Sharing: Not stated. Countries: 1. Publications: 1.
A Sample Collection Study to Validate the Astute Medical NephroCheck Test in Critically Ill Subjects at Risk for Acute Kidney Injury
ClinicalTrials.gov study NCT01573962. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Evaluation of DNA Methylation Markers for Endometrial Cancer Risk-stratification Using Patient-collected Urine and Vaginal Samples and Clinician-collected Cervical Samples From Women With Postmenopaus
ClinicalTrials.gov study NCT07400835. IPD Sharing: UNDECIDED. Countries: 1. Publications: 23.
Effect of Human Papillomavirus Self-Collection on Cervical Cancer Screening in High Risk Women: My Body, My Test 3
ClinicalTrials.gov study NCT02651883. IPD Sharing: NO. Countries: 1. Publications: 6.
Longitudinal Analysis And Sample Collection To Evaluate PML Risk Host Markers for PML Risk Host Markers for PML Risk
ClinicalTrials.gov study NCT02440126. IPD Sharing: NO. Countries: 1. Publications: 1.
A Study to Collect Data to Build Artificial Intelligence Derived Algorithms for Estimating Risk of Iron Deficiency and Anaemia in African Children
ClinicalTrials.gov study NCT07186205. IPD Sharing: NO. Countries: 1. Publications: 4.
Data from: Short-lived ants take greater risks during food collection
Open the record for dataset details and reuse information.
Individual and collective encoding of risk in animal groups
Open the record for dataset details and reuse information.
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.