Multiple Ontologies Research Articles

Exploring Changing People's Perceptions on Local Elections

The article explores changing people perceptions of political parties during local elections in Nepal, highlighting the different factors of recent socio-political changes. Following the restructuring of local governance in the 2022 elections, political parties have increased direct involvement with their communities, changing public perceptions. Using a constructivist interpretivist paradigm with multiple realities ontology, the study employs both structured and unstructured questionnaires and interviews to gather narrative experiences from the public. The research utilizes a convergent design, integrating exploratory and descriptive methods, and employs both qualitative and quantitative techniques, including interviews and focus groups, to capture diverse people sentiments across various respondents. The sampling of 120 respondent in convenience sampling reveals that educational changes, political disillusionment, and grassroots engagement are key drivers of these changing perceptions. With all these changes the people are increasingly evaluating political parties based on local issues such as infrastructure, education, health, and social equity, rather than national political manifesto. The findings indicated a growing trend toward electing leaders who are less affiliated with traditional parties, often younger and perceived as neutral. This shift reflects declining trust in established political parties and highlights the need for greater accountability and transparency. The study underscores a pivotal moment in Nepal’s democratic institutionalization, urging political entities to adapt strategically to maintain their relevance. By exploring these changing voter perceptions, the article contributes to a deeper understanding of political accountability and voter behavior in developing democracies, offering insights for policymakers and political strategists.

Cultural Studies with Communities in South Africa: Implications for Participatory Development Communication and Social Change Research

This article theorizes the role of local and indigenous culture in its intersection with development initiatives. It argues that Communication for Development and Social Change (CDSC), through a cultural studies framework, strengthens the potentiality of democratization and participation within community-based development and social change settings. We advocate that applied cultural studies can facilitate agency (through voice and self-representation) in social interventions. This is a cultural studies approach that has been recontextualised from the Birmingham origin as read through Marxist development studies, first adapted and mobilized during the anti-apartheid struggle in developing cultural strategy, and more recently with efforts to indigenise research practices with research participants in the southern Kalahari. We draw on an example of the community-owned, state-funded, and privately operated !Xaus Lodge cultural tourism asset. We illustrate how CDSC strategies, influenced by applied cultural studies, can work with an agentic imperative to effect development and mutual understanding in a defined geographical area, where multiple stakeholder agendas, cultural backgrounds, and ontologies are to be negotiated.

Seeing the Anthropocene through Montage

Environmental changes and the age of the Anthropocene demand new ways of seeing. This article contends that montage serves both as form and as argument in representing the modern Western experience of human-nature relations in the supposed Anthropocene. It suggests that montage resists a single narrative of the Anthropocene and allows for modified readings to address race and capital through alternative notions such as the Capitalocene and Black Anthropocenes. Montage in relation to the Anthropocene is exemplified through two works by contemporary British artists that visualize agencies and legacies of human interventions into fluvial geographies, the sea, and whales: the touring film installation Vertigo Sea (2015) by John Akomfrah, and the site-specific intervention BERLINWAL (Berlin Whale) (2018) by Elizabeth Price at the Museum für Naturkunde in Berlin, Germany. Both works, though differing in medium, use montage as a structure to hold different materialities and multiple spatial and temporal scales, affording integration as well as confrontation. Their multifocal perceptions and multiple perspectives challenge ontologies and afford a decentering of the viewer toward de-exceptionalizing the human.

The spatial ontologies of interstitial spaces: Insights from Belfast’s “interfaces” and the spatialization of the in-betweenness

ABSTRACT Cities are composed of a varied array of interstices that are often observed as a network of undeveloped, vacant, or leftover spaces and infrastructures. Such conditions, however, little speak on the multifaceted nature of interstitial spaces as in-between domains that can be morphologically heterogeneous, functionally active, and socially constructed; something that expands on the multiple ontologies of interstitiality beyond being vacant, empty, or inert. While acknowledged around their development potentials or as elements of segregation, the physicality of interstices obscures their evolving spatiality between conflict and divide, relationality, and acceptance. This spatiality becomes plausible in post-conflict cities—such as Belfast—where interstitiality takes the form of “interfaces”: complex in-between areas that articulate divided Catholic/Nationalist and Protestant/Unionist communities throughout peacebuilding politics. By taking a phenomenological approach, the spatiality and meanings of Belfast interfaces are scrutinised to find that Belfast interfaces speak on multiple ontologies linked to (i) their evolving spatiality, (ii) their constructed meanings, and (iii) their naturalisation as daily-life transitions that draw on emerging forms of safety, identity, memory, integration, segregation and futurity. Belfast interfaces take the ontological turn of the in-betweenness towards suggesting that the staging of spaces as promoting togetherness can be more illusionary than concrete.

Dynamic Retrieval Augmented Generation of Ontologies using Artificial Intelligence (DRAGON-AI)

BackgroundOntologies are fundamental components of informatics infrastructure in domains such as biomedical, environmental, and food sciences, representing consensus knowledge in an accurate and computable form. However, their construction and maintenance demand substantial resources and necessitate substantial collaboration between domain experts, curators, and ontology experts.We present Dynamic Retrieval Augmented Generation of Ontologies using AI (DRAGON-AI), an ontology generation method employing Large Language Models (LLMs) and Retrieval Augmented Generation (RAG). DRAGON-AI can generate textual and logical ontology components, drawing from existing knowledge in multiple ontologies and unstructured text sources.ResultsWe assessed performance of DRAGON-AI on de novo term construction across ten diverse ontologies, making use of extensive manual evaluation of results. Our method has high precision for relationship generation, but has slightly lower precision than from logic-based reasoning. Our method is also able to generate definitions deemed acceptable by expert evaluators, but these scored worse than human-authored definitions. Notably, evaluators with the highest level of confidence in a domain were better able to discern flaws in AI-generated definitions. We also demonstrated the ability of DRAGON-AI to incorporate natural language instructions in the form of GitHub issues.ConclusionsThese findings suggest DRAGON-AI's potential to substantially aid the manual ontology construction process. However, our results also underscore the importance of having expert curators and ontology editors drive the ontology generation process.

Predictive Gaze Analytics: A Comparative Case Study of the Foretelling Signs of User Performance during Interaction with Visualizations of Ontology Class Hierarchies

The current research landscape in ontology visualization has largely focused on tool development, yielding an extensive array of visualization tools. Although many existing solutions provide multiple ontology visualization layouts, there is limited research in adapting to an individual user’s performance, despite successful applications of adaptive technologies in related fields, including information visualization. In an effort to innovate beyond traditional one-size-fits-all visualizations, this paper contributes one step towards realizing user adaptive visualization by recognizing timely moments when users may potentially need intervention, as real-time adaptation can only occur if it is possible to correctly predict user success and failure during an interaction in the first place. In addition, an open-source, reusable, and extensible software: Beach Environment for the Analytics of Human Gaze (BEACH-Gaze) is made available to the broader scientific community interested in descriptive and predictive gaze analytics. Building on a wealth of research in eye tracking, this paper compares four approaches to predictive gaze analytics through a series of experiments that utilize scheduled gaze digests, irregular gaze events, the last known gaze status, as well as all gaze captured for a user at a given moment in time. The results from a set of experimental trials suggest that irregular gaze events are most informative of early predictions of user performance, whereas cognitive workload appears to be most indicative of overall user performance in the task scenario presented in this paper. These empirical findings highlight the importance of an analytical approach to gaze on user predictions and indicate careful consideration when applying.

Host miRNA and mRNA profiles during in DEF and duck after DHAV-1 infection

DHAV-1 is a highly infectious pathogen that can cause acute hepatitis in ducklings. MicroRNA (miRNA) plays an essential regulatory role in virus response. We characterized and compared miRNA and mRNA expression profiles in duck embryonic fibroblasts (DEF) and the liver of ducklings infected with DHAV-1. DHAV-1 infected DEF was divided into infection group (D group) and blank group (M group), and DHAV-1 infected duckling group was divided into infection group (H group) and blank group (N group). D vs. M have 130 differentially expressed (DE) miRNA (DEM) and 2204 differentially expressed (DE) mRNA (DEG), H vs. N have 72 DEM and 1976 DEG. By the intersection of D vs. M and H vs. N comparisons, 15 upregulated DEM, 5 downregulated DEM, 340 upregulated DEG and 50 downregulated DEG were found with both in vivo and in vitro DHAV-1 infection. In particular, we identified the same DE miRNA target genes and functional annotations of DE mRNA. We enriched with multiple gene ontology (GO) and the Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways, which may have important roles in viral virulence, host immunity, and metabolism. We selected miR-155, which is co-upregulated, and found that miR-155 targets SOCS1 to inhibit DHVA-1 replication.

The Unified Phenotype Ontology (uPheno): A framework for cross-species integrative phenomics.

Phenotypic data are critical for understanding biological mechanisms and consequences of genomic variation, and are pivotal for clinical use cases such as disease diagnostics and treatment development. For over a century, vast quantities of phenotype data have been collected in many different contexts covering a variety of organisms. The emerging field of phenomics focuses on integrating and interpreting these data to inform biological hypotheses. A major impediment in phenomics is the wide range of distinct and disconnected approaches to recording the observable characteristics of an organism. Phenotype data are collected and curated using free text, single terms or combinations of terms, using multiple vocabularies, terminologies, or ontologies. Integrating these heterogeneous and often siloed data enables the application of biological knowledge both within and across species. Existing integration efforts are typically limited to mappings between pairs of terminologies; a generic knowledge representation that captures the full range of cross-species phenomics data is much needed. We have developed the Unified Phenotype Ontology (uPheno) framework, a community effort to provide an integration layer over domain-specific phenotype ontologies, as a single, unified, logical representation. uPheno comprises (1) a system for consistent computational definition of phenotype terms using ontology design patterns, maintained as a community library; (2) a hierarchical vocabulary of species-neutral phenotype terms under which their species-specific counterparts are grouped; and (3) mapping tables between species-specific ontologies. This harmonized representation supports use cases such as cross-species integration of genotype-phenotype associations from different organisms and cross-species informed variant prioritization.

Enacting the border multiple in the post-welfare state: Registration of foreign-born persons in Finland

This article analyses border practices that are enacted through an array of migrants’ residence registration procedures in Finland. These practices extend to the country of departure and also take place upon arrival and settlement within a municipality, and they are intimately tied with the person’s access to social rights in the country. Building on critical border studies and Annemarie Mol’s idea of multiple ontologies we examine migrant stories, collected via multi-sited ethnography, that simultaneously testify to being targeted by diverse border practices and of being compelled to take part in doing the border. We address regulatory practices that modify and, indeed, reinforce inequalities between migrants. We argue that residence registration as a scattered border practice not only enacts different statuses for migrants but orders them hierarchically depending, for example, on the person’s migration status and nationality (EU/TCN). Furthermore, multiple regimes of knowledge production such as statistics on migrant population draw on the data recorded in the population register during the municipal registration process, which further extends the impact of this data. We show how the welfare state system, claimed to be universal, is highly conjunctural depending on the information the person receives from different interlocutors, and on the presumably apolitical “policy on the fly” enacted at the registration desk.

BCAR3 and BCAR3-related competing endogenous RNA expression in hepatocellular carcinoma and their prognostic value.

Hepatocellular carcinoma (HCC) is a malignant tumor that has a high incidence and mortality worldwide. Despite extensive studies, the detailed molecular mechanism of HCC development remains unclear. Studies have shown that the occurrence and development of HCC are closely related to abnormal gene expression. BCAR3 has been shown to be overexpressed in a variety of malignant tumors. However, the role of BCAR3 in HCC remains unclear. To investigate the expression of BCAR3 and BCAR3-related competing endogenous RNAs (ceRNAs) in HCC and their clinical significance, in order to provide new ideas for the diagnosis and treatment of HCC. The data of HCC were obtained from the Cancer Genome Atlas database and The Genotype Tissue Expression, including transcriptome data and clinical information. Multiple common databases, including UALCAN, Timer 2.0, cBioPortal, LinkedOmics, starBase, Gene Ontology and Kyoto Encyclopedia of Genes and Genomes, were used to analyse the expression of BCAR3, prognostic value, genetic alteration, co-expressed genes, differentially expressed genes, BCAR3 gene-related ceRNAs and functional enrichment analysis in HCC patients. Kaplan-Meier analysis, univariate and multivariate Cox regression analysis were used to analyze survival prognosis and the Spearman test was used to measure correlations between BCAR3 and immune functions. And R language package was used to analyze the correlation between BCAR3 and immune invasion of HCC. Our study indicated that BCAR3 was differentially expressed in various tumor tissues. The over-expression of BCAR3 gene was an unfavorable prognostic indicator for HCC patients, and associated with unfavorable cytogenetic risk and gene mutations. Moreover, most immune cells were positively correlated with BCAR3 (P < 0.05). According to the results of functional enrichment analysis, BCAR3 was involved in the positive regulation of epidermal growth factor receptor signaling pathway and ERBB signaling pathway, and was related to DNA replication and GTPase regulator activity. Finally, our study found that based on RAB30-DT and miR-19b-3p pathways, targeting BCAR3 might promote the occurrence and development of HCC. Collectively, this study indicated that the BCAR3 gene was involved in the occurrence and development of HCC, and it might be a new biomarker and therapeutic target for HCC, but the specific mechanism remains to be further verified.

Toward a Sociology of Water: Reconstructing the Missing “Big Picture” of Social Water Research

In recent years, significant advancements have been made in the field of social water research. This is especially reflected in the emergence and consolidation of three influential theoretical approaches in hydrology, human geography, and anthropology: socio-hydrology, hydrosocial theory, and the multiple ontologies of water, respectively. While the present paper acknowledges the great merits of each of these perspectives, it starts from the identification of two important shortcomings in current social water research: the dispersion of the literature in distinct disciplinary sub-fields and the lack of specifically sociological approaches to hydrosocial issues. Accordingly, the aim of this paper is twofold: to offer a “big picture” of current social water research from a sociological–theoretical perspective and to initiate a fruitful conversation between sociologists and social water researchers from other disciplines.

Driving while dreaming: oneiric automobility

This paper responds to the call made by mobilities scholars to deepen attention to imagination and imaginaries by proposing that oneiric experiences – nighttime dreams – be investigated as significant but under-examined artifacts of mobile cultures. Based on a long-term, ethnographically-informed study of the dreams of young adults in the US and grounded in both contemporary dream theory and the automobilities literature, I argue that dreams of car trouble serve to expose otherwise overlooked and taken-for-granted dimensions of waking-life automobility, automotive consciousness, and lifecourse transitions. Targeting two commonly seen themes within this subgenre of dreams – that of failed brakes and driving from the backseat – I argue that oneiric automobility draws on conceptual metaphors and waking-life automotive biographies. Such dreams, moreover, draw liberally from and comment on larger and often silenced dimensions of emerging automobility – the patterned processes and performances by which (usually young) adults habituate to their lives as drivers. Attention to the common experience of driving while dreaming, I argue, enhances efforts to theorize the multiple ontologies of mobile lifeways.

Budgets and biologicals: The bio-economization of HIV governance

Changing global responses to HIV/AIDS entail shifting biological loci of surveillance which are believed to constitute HIV risk. Meanwhile, various local institutions and organizations are mobilized to play a key role in HIV service delivery and surveillance. Drawing on a socio-material approach to the body and the economy, this study theorizes the emergence of three ‘HIV service bio-economies’ devised to provide HIV services while controlling HIV transmission in Taiwan. Instead of presuming a divide between the social and the biological, it analyzes how different bodies are produced through differing modes of HIV surveillance and economization, buttressed by global health sciences, state budgets and quantitative metrics. The analysis of multiple ontologies of HIV underscores the political nature of risk-framing in a transnational context, but also how certain bodies incapable of being enrolled in these economies could be further marginalized – a process which might be understood as an ontological politics of HIV.

Abstract 119: Stroke Recovery and Genetic Variation: Main Results of the STRONG Study

Introduction: The STRONG (Stroke, sTress, RehabilitatiON, and Genetics) study performed detailed behavioral phenotyping to evaluate genetic variants in relation to stroke recovery and stress responses. Methods: Adults with a new stroke enrolled at 28 US sites were assessed 4 times over 1 year. Three pre-specified gene variants (ApoE-e4, rs6265 (BDNF), &amp; a dopamine polygenic score) were examined for associations with change in grip strength, function (SIS-ADL), mood (PHQ8), and cognition (tMoCA). Seven candidate gene variants (HTTLPR, rs324420, rs4291, rs6265, rs4680, rs53576, rs1360780) were examined for associations with post-stroke trauma, mood, &amp; PTSD. Data were Holm-Bonferroni corrected. Next, genome-wide association studies (GWAS) were performed to identify variants associated with 8 stroke outcomes of interest. Results: The 763 enrollees had age 63.1±14.9 yrs; initial NIHSS score 4 [2-9]; 41.2% Female; 69.4% White. Presence of the BDNF rs6265 polymorphism (in 27.1% of patients) was associated with a 0.9 point reduction in 1 yr tMoCA score (p=10^-5). Two of the 7 stress-related gene candidates [rs4291 (ACE) and rs4680 (COMT)] were risk factors linking increased post-stroke trauma with higher 1yr PHQ8 &amp; PTSD scores (p&lt;0.05). In GWAS, 4 of the 8 behavioral outcomes had significant (p&lt;5x10^-8) associations with genetic variants. Change in grip strength (from acute to d90) had the largest number of genome-wide significant (147 at p&lt;5x10^-8) and suggestive (2,541 at p&lt;5x10^-6) associations; variants with p&lt;5x10^-6 were then mapped to corresponding genes and their protein products to construct an interaction network, which had significant enrichment of protein-protein interactions (283 proteins, 69 edges, p=0.008) and which mapped (FDR&lt;0.05) to multiple gene ontology biological processes pertaining to the nervous system, including nervous system development, neurogenesis, and neuron differentiation. Conclusions: Stroke recovery occurs across many dimensions and so benefits from detailed characterization over time. Building on such assessments, current results from candidate genetic variants and GWAS provide insights into the biology of stroke recovery and inform therapeutic targets for promoting improved stroke recovery.

Pain/Stress, Mitochondrial Dysfunction, and Neurodevelopment in Preterm Infants

Introduction: Preterm infants experience tremendous early life pain/stress during their neonatal intensive care unit (NICU) hospitalization, which impacts their neurodevelopmental outcomes. Mitochondrial function/dysfunction may interface between perinatal stress events and neurodevelopment. Nevertheless, the specific proteins or pathways linking mitochondrial functions to pain-induced neurodevelopmental outcomes in infants remain unidentified. Our study aims to investigate the associations among pain/stress, proteins associated with mitochondrial function/dysfunction, and neurobehavioral responses in preterm infants. Methods: We conducted a prospective cohort study, enrolling 33 preterm infants between September 2017 and July 2022 at two affiliated NICUs located in Hartford and Farmington, CT. NICU Network Neurobehavioral Scale (NNNS) datasets were evaluated to explore potential association with neurobehavioral outcomes. The daily pain/stress experienced by infant’s during their NICU stay was documented. At 36–38 weeks post-menstrual age (PMA), neurobehavioral outcomes were evaluated using the NNNS and buccal swabs were collected for further analysis. Mass spectrometry-based proteomics was conducted on epithelial cells obtained from buccal swabs to evaluate protein expression level. Lasso statistical methods were conducted to study the association between protein abundance and infants’ NNNS summary scores. Multiple linear regression and Gene Ontology (GO) enrichment analyses were performed to examine how clinical characteristics and neurodevelopmental outcomes may be associated with protein levels and underlying molecular pathways. Results: During NICU hospitalization, preterm premature rupture of membrane (PPROM) was negatively associated with neurobehavioral outcomes. The protein functions including leptin receptor binding activity, glutathione disulfide oxidoreductase activity and response to oxidative stress, lipid metabolism, and phosphate and proton transmembrane transporter activity were negatively associated with neurobehavioral outcomes; in contrast, cytoskeletal regulation, epithelial barrier, and protection function were found to be associated with the optimal neurodevelopmental outcomes. In addition, mitochondrial function-associated proteins including SPRR2A, PAIP1, S100A3, MT-CO2, PiC, GLRX, PHB2, and BNIPL-2 demonstrated positive association with favorable neurodevelopmental outcomes, while proteins of ABLIM1, UNC45A, keratins, MUC1, and CYB5B showed positive association with adverse neurodevelopmental outcomes. Conclusion: Mitochondrial function-related proteins were observed to be associated with early life pain/stress and neurodevelopmental outcomes in infants. Large-scale studies with longitudinal datasets are warranted. Buccal proteins could be used to predict potential neurobehavioral outcomes.

Towards Complex Ontology Alignments via Lexical Indexation

Ontology alignment is a method that automatically establishes the semantic similarities between the concepts of two ontologies. The ontology alignment adjustments aim to identify concepts that are semantically equivalent across multiple ontologies. However, simple ontology alignments are a domain largely studied. It attaches one entity from the source ontology to a corresponding entity in the target ontology. However, one limitation of these alignments is their lack of interpretability, which can be mitigated by employing complex matching. In attempt to deal with it, we introduce a complex ontology alignment model based on Lexical Indexation. We have carried out a thorough evaluation using datasets from the Ontology Alignment Evaluation Initiative (OAEI). The findings are promising, indicating that our proposed scheme is practical.

ProFun-SOM: Protein Function Prediction for Specific Ontology Based on Multiple Sequence Alignment Reconstruction.

Protein function prediction is crucial for understanding species evolution, including viral mutations. Gene ontology (GO) is a standardized representation framework for describing protein functions with annotated terms. Each ontology is a specific functional category containing multiple child ontologies, and the relationships of parent and child ontologies create a directed acyclic graph. Protein functions are categorized using GO, which divides them into three main groups: cellular component ontology, molecular function ontology, and biological process ontology. Therefore, the GO annotation of protein is a hierarchical multilabel classification problem. This hierarchical relationship introduces complexities such as mixed ontology problem, leading to performance bottlenecks in existing computational methods due to label dependency and data sparsity. To overcome bottleneck issues brought by mixed ontology problem, we propose ProFun-SOM, an innovative multilabel classifier that utilizes multiple sequence alignments (MSAs) to accurately annotate gene ontologies. ProFun-SOM enhances the initial MSAs through a reconstruction process and integrates them into a deep learning architecture. It then predicts annotations within the cellular component, molecular function, biological process, and mixed ontologies. Our evaluation results on three datasets (CAFA3, SwissProt, and NetGO2) demonstrate that ProFun-SOM surpasses state-of-the-art methods. This study confirmed that utilizing MSAs of proteins can effectively overcome the two main bottlenecks issues, label dependency and data sparsity, thereby alleviating the root problem, mixed ontology. A freely accessible web server is available at http://bliulab.net/ ProFun-SOM/.

Stories of Governance: Examining “Consensus” in the International Olympic Committee’s Consensus Statements on Relative Energy Deficiency in Sport

Policies to “protect” athletes, particularly women, are derived from contextual and unstable entanglements between sociocultural and biological considerations. This is especially demonstrated in relative energy deficiency in sport (REDs): a syndrome that occurs due to low energy availability and is influenced by environmental and societal factors. While sport organizations such as the International Olympic Committee have generated consensus statements to help with prevention, identification, and treatment of REDs, developing “consensus” remains a contentious issue given the syndrome’s multifactorial nature. Using a governmentality framework alongside Star and Griesemer’s concept of a “boundary object,” we analyze three International Olympic Committee consensus statements on REDs and interviews with five relevant experts to understand how “consensus” is developed. We identify three stories of governance (messy, flexible, and simplified) which, we argue, illustrate how multiple REDs-related epistemologies and ontologies are accommodated in the consensus statements, albeit with a push toward standardization and, ultimately, simplified governance.

Towards building knowledge by merging multiple ontologies with CoMerger: A partitioning-based approach

Ontologies are the prime way of organizing data in the Semantic Web. Often, it is necessary to combine several, independently developed ontologies to obtain a complete representation of a domain of interest. The complementarity of existing ontologies can be leveraged by merging them. Existing approaches for ontology merging mostly implement a binary merge. However, with the growing number and size of relevant ontologies across domains, scalability becomes a central challenge. A multi-ontology merging technique offers a potential solution to this problem. We present Co Merger, a scalable multiple ontologies merging method. It takes as input a set of source ontologies and existing mappings across them and generates a merged ontology. For efficient processing, rather than successively merging complete ontologies pairwise, we group related concepts across ontologies into partitions and merge first within and then across those partitions. In both steps, user-specified subsets of generic merge requirements (GMRs) are taken into account and used to optimize outputs. The experimental results on well-known datasets confirm the feasibility of our approach and demonstrate its superiority over binary strategies. A prototypical implementation is freely accessible through a live web portal.

From God to Technology: Multiple Ontologies of Reproductive Time

Recent decades have seen substantive changes in reproductive patterns involving decisions whether, when and how to have children. Although time is at the core of transformations of contemporary childbearing, there are few systematic theoretical reflections and empirical studies on reproductive time. Drawing on sociological, feminist and decolonial approaches to time and 40 life story interviews on the transition to motherhood, this article explores the multiple ontologies of time shaping women’s reproductive experiences. The findings show that women understand and live reproductive time as determined by God, nature, the clock and technology and often manage convergent and conflicting ontologies of time in negotiating childbearing. These times outline differential spaces for agency and accountability, thus enabling and constraining women’s childbearing experiences in particular ways. These findings advance knowledge on the temporal dimension of childbearing, challenge normative assumptions underlying reproductive time and contribute to better understand contemporary changes in the nature of reproduction.