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Articles 4171 - 4200 of 21190
Full-Text Articles in Social and Behavioral Sciences
Odu’S Storm Recovery Project Gets Boost From Dominion Energy, News @ Odu
Odu’S Storm Recovery Project Gets Boost From Dominion Energy, News @ Odu
News Items
No abstract provided.
Dynamic Return Relationships In The Market For Cryptocurrency: A Var Approach, Julian Gouffray
Dynamic Return Relationships In The Market For Cryptocurrency: A Var Approach, Julian Gouffray
James Madison Undergraduate Research Journal (JMURJ)
This paper examines how the Bitcoin-altcoin return relationship has evolved in periods between 2015 and 2020. To understand this relation, we observe data on the cryptocurrency Bitcoin and prominent altcoins Ethereum, Litecoin, Ripple, Stellar, and Monero, which collectively represent over 90% of the market throughout the observed period. We employ a vector autoregressive model (VAR) to produce forecast error variance decompositions, orthogonal impulse response functions, and Granger-causality tests. We find evidence that Bitcoin return variation has increasingly explained altcoin returns and that market inefficiency increased between 2017 and 2020, as shown by increased Granger causality between Bitcoin and altcoins. These …
Examining Bias In Jury Selection For Criminal Trials In Dallas County, Megan Ball, Brandon Birmingham, Matt Farrow, Katherine Mitchell, Bivin Sadler, Lynne Stokes
Examining Bias In Jury Selection For Criminal Trials In Dallas County, Megan Ball, Brandon Birmingham, Matt Farrow, Katherine Mitchell, Bivin Sadler, Lynne Stokes
SMU Data Science Review
One of the hallmarks of the American judicial system is the concept of trial by jury, and for said trial to consist of an impartial jury of your peers. Several landmark legal cases in the history of the United States have challenged this notion of equal representation by jury—most notably Batson v. Kentucky, 476 U.S. 79 (1986). Most of the previous research, focus, and legal precedence has centered around peremptory challenges and attempting to prove if bias was suspected in excluding certain jurors from serving. Few studies, however, focus on examining challenges for cause based on self-reported biases from the …
Application Of Probabilistic Ranking Systems On Women’S Junior Division Beach Volleyball, Cameron Stewart, Michael Mazel, Bivin Sadler
Application Of Probabilistic Ranking Systems On Women’S Junior Division Beach Volleyball, Cameron Stewart, Michael Mazel, Bivin Sadler
SMU Data Science Review
Women’s beach volleyball is one of the fastest growing collegiate sports today. The increase in popularity has come with an increase in valuable scholarship opportunities across the country. With thousands of athletes to sort through, college scouts depend on websites that aggregate tournament results and rank players nationally. This project partnered with the company Volleyball Life, who is the current market leader in the ranking space of junior beach volleyball players. Utilizing the tournament information provided by Volleyball Life, this study explored replacements to the current ranking systems, which are designed to aggregate player points from recent tournament placements. Three …
Wastewater-Informed Public Health Intervention Playbook
Wastewater-Informed Public Health Intervention Playbook
Sustain Magazine
As the SARS-CoV-2 pandemic quickly spread from country to country and continent to continent in 2020, governments and scientists needed a way to track COVID-19 through populations in order to position public health interventions in the most impactful locations. Having a decision-based risk framework may help to guide policy creation that could minimize or prevent possible outbreaks and surges of infection within communities. The University of Louisville in partnership with Louisville’s Department of Public Health and Wellness tested this strategy in 2021 and 2022. This Wastewater-Informed Public Health Intervention Playbook describes the decisions and actions of that academic and public …
International Strategy Of Man And The Biosphere Programme Of Germany And Its Implications To China, Yijie Xian, Yan Zhuang, Qunli Han, Ding Wang
International Strategy Of Man And The Biosphere Programme Of Germany And Its Implications To China, Yijie Xian, Yan Zhuang, Qunli Han, Ding Wang
Bulletin of Chinese Academy of Sciences (Chinese Version)
Since mid-1990s, Germany has developed the UNESCO's Man and the Biosphere Programme (MAB) together with its biosphere reserves into a pathway of enhancing the nation's role in global governance. Measures took by Germany include:clarifying the national position in the globalization of German MAB, including putting more emphasis on partnership development, highlighting the effectiveness of development assistance, and ensuring the clearance and feasibility of action plan; collecting resources from foreign affairs, finance, intellectual, technology, etc., by multi-federal sector collaborative mechanism, to support the development of biosphere reserves of other countries; thinking globally and taking priority over Africa region. The example indicated …
Theoretical Thinking Of Artificial Ecosystem For Modern Marine Ranching, Dewen Ding, Anning Suo
Theoretical Thinking Of Artificial Ecosystem For Modern Marine Ranching, Dewen Ding, Anning Suo
Bulletin of Chinese Academy of Sciences (Chinese Version)
Based on the systematic review of the conceptual evolution process of marine ranching and its development of practice, this paper pointed out the problems existing in the construction of marine ranching in China, such as lack of theoretical support, lack of ecological engineering technologies, and lack of ecological management. It then proposed the concept of marine ranching artificial ecosystem. In addition, the paper analyzed the structural principle of marine ranching artificial ecosystem from the viewpoint of cultivating key functional communities and habitat construction for the marine ranch fishery resources. Finally, the paper discussed the theoretical framework of the modern marine …
Global Technology Of Ocean Carbon Sequestration Based On Patent Analysis, Tianyue Peng, Dehao Tang, Liqiang Liu, Bing Han, Benduo Zhu
Global Technology Of Ocean Carbon Sequestration Based On Patent Analysis, Tianyue Peng, Dehao Tang, Liqiang Liu, Bing Han, Benduo Zhu
Bulletin of Chinese Academy of Sciences (Chinese Version)
The ocean is the largest and most active carbon reservoir in the world. Through ocean-atmosphere exchange and the photosynthesis of marine plants, the uptake of carbon dioxide (CO2) by the ocean is much greater than that by soil and vegetation on terrestrial areas. This is essential to mitigate and ameliorate today's global warming which is caused by rising atmospheric CO2 concentration. Therefore, to achieve the goal of "carbon neutrality" around the country, it is an effective approach to sequester CO2 in the ocean. This paper summarizes the technical application scope and methods of ocean carbon sequestration. By analyzing correlative patents …
“Be A Pattern For The World”: The Development Of A Dark Patterns Detection Tool To Prevent Online User Loss, Jordan Donnelly, Alan Dowley, Yunpeng Liu, Yufei Su, Quanwei Sun, Lan Zeng, Andrea Curley, Damian Gordon, Paul Kelly, Dympna O'Sullivan, Anna Becevel
“Be A Pattern For The World”: The Development Of A Dark Patterns Detection Tool To Prevent Online User Loss, Jordan Donnelly, Alan Dowley, Yunpeng Liu, Yufei Su, Quanwei Sun, Lan Zeng, Andrea Curley, Damian Gordon, Paul Kelly, Dympna O'Sullivan, Anna Becevel
Articles
Dark Patterns are designed to trick users into sharing more information or spending more money than they had intended to do, by configuring online interactions to confuse or add pressure to the users. They are highly varied in their form, and are therefore difficult to classify and detect. Therefore, this research is designed to develop a framework for the automated detection of potential instances of web-based dark patterns, and from there to develop a software tool that will provide a highly useful defensive tool that helps detect and highlight these patterns.
Revitalizing The Puerto Rican Economy After Hurricane Maria, Aditya Mehta
Revitalizing The Puerto Rican Economy After Hurricane Maria, Aditya Mehta
The Cardinal Edge
Puerto Rico is an island in the Caribbean that is an unincorporated territory of the U.S. It is naturally beautiful and caters heavily to tourists. However, it is currently in the midst of an economic crisis that has been building for years and is struggling to rebuild in the aftermath of Hurricane Maria. Additionally, popular culture and statistics have demonstrated that many Puerto Ricans are emigrating from the island. Puerto Rico must address these issues to ensure that its citizens can continue to have a good quality of life on the island. To do this, the U.S. government must work …
Odu Economist Outlines Costs Resulting From Unchecked Sea Level Rise, Brendan O'Hallarn
Odu Economist Outlines Costs Resulting From Unchecked Sea Level Rise, Brendan O'Hallarn
News Items
No abstract provided.
Language And Power In Social Movements: Hearing All The Voices In Food System Advocacy Narratives, Dianna Winslow
Language And Power In Social Movements: Hearing All The Voices In Food System Advocacy Narratives, Dianna Winslow
Green Humanities: A Journal of Ecological Thought in Literature, Philosophy & the Arts
[From first paragraph] Everyone must eat. It is this immediate and personal connection to food which drives public and scholarly interest in the complex narratives emerging in what is becoming known as the “food movement”—activism on a global scale that is challenging how the industrialized production, distribution and consumption of food is affecting environmental conditions, food sovereignty and security, human health and wellness, and cultural identities. As the number of food advocacy groups promoting different, yet overlapping, public concerns continues to increase, so does the flow of language used by these groups to shape collective identities and political stances, which …
Toward Informatics-Enabled Preparedness For Natural Hazards To Minimize Health Impacts Of Climate Change, Jimmy Phuong, Naomi O. Riches, Luca Calzoni, Gora Datta, Deborah Duran, Asiyah Yu Lin, Ramesh P. Singh, Anthony E. Solomonides, Noreen Y. Whysel, Ramakanth Kavuluru
Toward Informatics-Enabled Preparedness For Natural Hazards To Minimize Health Impacts Of Climate Change, Jimmy Phuong, Naomi O. Riches, Luca Calzoni, Gora Datta, Deborah Duran, Asiyah Yu Lin, Ramesh P. Singh, Anthony E. Solomonides, Noreen Y. Whysel, Ramakanth Kavuluru
Publications and Research
Natural hazards (NHs) associated with climate change have been increasing in frequency and intensity. These acute events impact humans both directly and through their effects on social and environmental determinants of health. Rather than relying on a fully reactive incident response disposition, it is crucial to ramp up preparedness initiatives for worsening case scenarios. In this perspective, we review the landscape of NH effects for human health and explore the potential of health informatics to address associated challenges, specifically from a preparedness angle. We outline important components in a health informatics agenda for hazard preparedness involving hazard-disease associations, social determinants …
Warming Of The Willamette River, 1850–Present: The Effects Of Climate Change And Direct Human Interventions, Stefan Talke, David Jay, Heida Diefenderfer
Warming Of The Willamette River, 1850–Present: The Effects Of Climate Change And Direct Human Interventions, Stefan Talke, David Jay, Heida Diefenderfer
Civil and Environmental Engineering Faculty Publications and Presentations
Using archival research methods, we found and combined data from multiple sources to produce a unique, 140 year record of daily water temperature (Tw) in the lower Willamette River, Oregon (1881–1890, 1941–present). Additional daily weather and river flow records from the 1850s onwards are used to develop and validate a statistical regression model of Tw for 1850–2020. The model simulates the time-lagged response of Tw to air temperature and river flow, and is calibrated for three distinct time periods: the late 19th, mid 20th, and early 21st centuries. Results show that Tw has trended upwards at ~1.1 °C …
Geographic Proximity To Primary Care Providers As A Risk-Assessment Criterion For Quality Performance Measures, Nathaniel Bell, Ana Lopez-De Fede Ph.D., Bo Cai Ph.D., John Brooks Ph.D.
Geographic Proximity To Primary Care Providers As A Risk-Assessment Criterion For Quality Performance Measures, Nathaniel Bell, Ana Lopez-De Fede Ph.D., Bo Cai Ph.D., John Brooks Ph.D.
Publications
Importance Previous studies have found a mixed association between Patient-Centered Medical Home (PCMH) designation and improvements in primary care quality indicators, including avoidable pediatric emergency department (ED) encounters. Whether these associations persist after accounting for the geographic locations of providers relative to where patients reside is unknown. Objective To examine the association between geographic proximity to primary care providers versus hospitals and risk of avoidable and potentially avoidable ED visits among children with pre-existing diagnosis of attention-deficit/hyperactivity disorder or asthma. Methods Retrospective cohort study of a panel of pediatric Medicaid claims data from the South Carolina from 2016–2018 for 2,959 …
Environmental Justice Mapping In The U.S. Pacific Island Territory Of Guam, Ben Rocha
Environmental Justice Mapping In The U.S. Pacific Island Territory Of Guam, Ben Rocha
Master of Science in Environmental Sciences and Management Projects
Academics, regulators, and the public currently use geospatial analysis tools to identify locations that may be candidates for further environmental justice review in the continental United States (U.S.). However, current environmental justice geospatial analysis tools overlook a small but significant portion of the U.S. - the U.S. Pacific Islands. This study analyzes environmental justice within the U.S. Territory of Guam using existing geospatial analysis methods and publicly available environmental, climate, and socio-economic data to: (1) Spatially map relevant demographic and environmental data and (2) determine the correlation, if any, between the exposure to environmental hazards and the socio-economic status of …
Resistance To Petro-Hegemony: A Three Terrains Of Power Analysis Of The Line 3 Tar Sands Pipeline In Minnesota, Melissa Burrell, Corrie Grosse, Brigid Mark
Resistance To Petro-Hegemony: A Three Terrains Of Power Analysis Of The Line 3 Tar Sands Pipeline In Minnesota, Melissa Burrell, Corrie Grosse, Brigid Mark
Environmental Studies Faculty Publications
In northern Minnesota, the Line 3 tar sands pipeline crosses Indigenous treaty territory, the Mississippi River, and wild rice lakes. Despite the severity of climate crisis and widespread public opposition, Canadian pipeline company Enbridge succeeded in securing permits for, constructing, and ultimately running oil in the pipeline in fall 2021. How was this possible and how did the climate justice movement try to resist? Drawing on participant observation and interviews in the Stop Line 3 movement, this article employs LeQuesne's (2019) concepts of petro-hegemony and carbon rebellion to explain why Line 3 was approved and to assess water protectors' resistance. …
Improving Country Conflict And Peace Modeling: Datasets, Imputations, And Hierarchical Clustering, Benjamin D. Leiby
Improving Country Conflict And Peace Modeling: Datasets, Imputations, And Hierarchical Clustering, Benjamin D. Leiby
Theses and Dissertations
Many disparate datasets exist that provide country attributes covering political, economic, and social aspects. Unfortunately, this data often does not include all countries nor is the data complete for those countries included, as measured by the dataset’s missingness. This research addresses these dataset shortfalls in predicting country instability by considering country attributes in all aspects as well as in greater thresholds of missingness. First, a structured summary of past research is presented framed by a developed casual taxonomy and functional ontology. Additionally, a novel imputation technique for very large datasets is presented to account for moderate missingness in the expanded …
Towards Explaining Variation In Entrainment, Andreas Weise
Towards Explaining Variation In Entrainment, Andreas Weise
Dissertations, Theses, and Capstone Projects
Entrainment refers to the tendency of human speakers to adapt to their interlocutors to become more similar to them. This affects various dimensions and occurs in many contexts, allowing for rich applications in human-computer interaction. However, it is not exhibited by every speaker in every conversation but varies widely across features, speakers, and contexts, hindering broad application. This variation, whose guiding principles are poorly understood even after decades of entrainment research, is the subject of this thesis. We begin with a comprehensive literature review that serves as the foundation of our own work and provides a reference to guide future …
Regeneration Time: Ancient Wisdom For Planetary Wellbeing, Anne Poelina, Sandra Wooltorton, Mindy Blaise, Catrina Luz Aniere, Pierre Horwitz, Peta J. White, Stephen Muecke
Regeneration Time: Ancient Wisdom For Planetary Wellbeing, Anne Poelina, Sandra Wooltorton, Mindy Blaise, Catrina Luz Aniere, Pierre Horwitz, Peta J. White, Stephen Muecke
Research outputs 2022 to 2026
In these regenerative times prompted by the Anthropocene, Aboriginal voices are situated to draw on ancient wisdom for local learning and to share information across the globe as ecological imperative for planetary wellbeing. In this paper, postqualitative research foregrounds the sentient nature of life as ancestral power and brings the vitality of co-becoming as our places into active engagement. It enables coloniality to surface and reveals how it sits in our places and lives, in plain sight but unnoticed because of its so-called common sense. Postqualitative research relates with ancient knowledges in foregrounding Country's animacy and presence, revealing the essence …
Towards An Optimal Bus Frequency Scheduling: When The Waiting Time Matters, Songsong Mo, Zhifeng Bao, Baihua Zheng, Zhiyong Peng
Towards An Optimal Bus Frequency Scheduling: When The Waiting Time Matters, Songsong Mo, Zhifeng Bao, Baihua Zheng, Zhiyong Peng
Research Collection School Of Computing and Information Systems
Reorganizing bus frequencies to cater for actual travel demands can significantly save the cost of the public transport system. This paper studies the bus frequency optimization problem considering the user satisfaction. Specifically, for the first time to our best knowledge, we study how to schedule the buses such that the total number of passengers who could receive their bus services within the waiting time threshold can be maximized. We propose two variants of the problem, FAST and FASTCO, to cater for different application needs and prove that both are NP-hard. To solve FAST effectively and efficiently, we first present an …
Learning To Solve Multiple-Tsp With Time Window And Rejections Via Deep Reinforcement Learning, Rongkai Zhang, Cong Zhang, Zhiguang Cao, Wen Song, Puay Siew Tan, Jie Zhang, Bihan Wen, Justin Dauwels
Learning To Solve Multiple-Tsp With Time Window And Rejections Via Deep Reinforcement Learning, Rongkai Zhang, Cong Zhang, Zhiguang Cao, Wen Song, Puay Siew Tan, Jie Zhang, Bihan Wen, Justin Dauwels
Research Collection School Of Computing and Information Systems
We propose a manager-worker framework (the implementation of our model is publically available at: https://github.com/zcaicaros/manager-worker-mtsptwr) based on deep reinforcement learning to tackle a hard yet nontrivial variant of Travelling Salesman Problem (TSP), i.e. multiple-vehicle TSP with time window and rejections (mTSPTWR), where customers who cannot be served before the deadline are subject to rejections. Particularly, in the proposed framework, a manager agent learns to divide mTSPTWR into sub-routing tasks by assigning customers to each vehicle via a Graph Isomorphism Network (GIN) based policy network. A worker agent learns to solve sub-routing tasks by minimizing the cost in terms of both …
Singapore Public Sector Ai Applications Emphasizing Public Engagement: Six Examples, Steven M. Miller
Singapore Public Sector Ai Applications Emphasizing Public Engagement: Six Examples, Steven M. Miller
Research Collection School Of Computing and Information Systems
This article provides an overview of six examples of public sector AI applications in Singapore that illustrate different ways of enhancing engagement with the public. These applications demonstrate ways of enhancing engagement with the public by providing greater accessibility to government services (access anywhere, anytime) and speedier responses to public processes and feedback. Some applications make it substantially easier for members of the public to do things or make choices, while others reduce waiting time, either across an entire public infrastructure, or for an individual transaction. Some provide highly individualized coaching to guide a person through the process of doing …
Acid Mine Drainage In The Shamokin Creek Watershed: A Spatial Analysis Of Economic And Environmental Consequences Of Coal Mining, Ben Shimer
Student Project Reports
No abstract provided.
Does Social Media Accelerate Product Recalls? Evidence From The Pharmaceutical Industry, Yang Gao, Wenjing Duan, Huaxia Rui
Does Social Media Accelerate Product Recalls? Evidence From The Pharmaceutical Industry, Yang Gao, Wenjing Duan, Huaxia Rui
Research Collection School Of Computing and Information Systems
Social media has become a vital platform for voicing product-related experiences that may not only reveal product defects but also impose pressure on firms to act more promptly than before. This study scrutinizes the rarely-studied relationship between these voices and the speed of product recalls in the context of the pharmaceutical industry where social media pharmacovigilance is becoming increasingly important for the detection of drug safety signals. Using Federal Drug Administration (FDA) drug enforcement reports and social media data crawled from online forums and Twitter, we investigate whether social media can accelerate the product recall process in the context of …
Analyzing Fluctuation Of Topics And Public Sentiment Through Social Media Data, Haoyue Liu
Analyzing Fluctuation Of Topics And Public Sentiment Through Social Media Data, Haoyue Liu
Dissertations
Over the past decade years, Internet users were expending rapidly in the world. They form various online social networks through such Internet platforms as Twitter, Facebook and Instagram. These platforms provide a fast way that helps their users receive and disseminate information and express personal opinions in virtual space. When dealing with massive and chaotic social media data, how to accurately determine what events or concepts users are discussing is an interesting and important problem.
This dissertation work mainly consists of two parts. First, this research pays attention to mining the hidden topics and user interest trend by analyzing real-world …
Model Autonomy Of Self-Finance Management For Primary Health Care To Enhance Workers’ Satisfaction, Ahmad Jet Alamin, Ossama Issac, Lina Teo, Atikah Adyas
Model Autonomy Of Self-Finance Management For Primary Health Care To Enhance Workers’ Satisfaction, Ahmad Jet Alamin, Ossama Issac, Lina Teo, Atikah Adyas
Kesmas
This study aimed to find an appropriate model of autonomous self-finance management in primary health care (PHC) to enhance workers' satisfaction. This was a cross-sectional study in which data were collected through self-administered questionnaires from 204 workers in ten Regional Public Service Agency for Primary Health Care (RPSAPHC)/Badan Layanan Umum Daerah Pusat Kesehatan Masyarakat (BLUD Puskesmas) in Tangerang District, Banten Province, Indonesia using the partial least squares and structural equation model (PLS-SEM). A total of 73 indicators were used to examine the PHC transformation process to enhance workers' satisfaction. The indicators were grouped into three variables depending on workers' satisfaction: …
Spatial Analysis For Enhancing The Use Of Health Data Availability From Different Sources To Help The Decision-Making Process, Tris Eryando
Spatial Analysis For Enhancing The Use Of Health Data Availability From Different Sources To Help The Decision-Making Process, Tris Eryando
Kesmas
Spatial analysis in public health has become a common method used by researchers to understand the distribution of public health aspects related to the surrounding environment. It can also be used to analyze individual information in the form of a dot and the location or line of aggregated information in a specific area of study. Another benefit is the possibility of using different data sources to be analyzed in one statistical model analysis, as long as the identification area is sufficiently clear as a key variable. Spatial analysis can show an object's distribution on a locational map and explain the …
Sars-Cov-2 Antibody Seroprevalence In Jakarta, Indonesia, Iwan Ariawan, Hafizah Jusril, Muhammad N Farid, Pandu Riono, Wiji Wahyuningsih, Widyastuti Widyastuti, Dwi Oktavia T L Handayani, Endang Sri Wahyuningsih, Rebekka Daulay, Retno Henderiawati, Safarina G. Malik, Rintis Noviyanti, Leily Trianty, Nadia Fadila, Khin Saw Aye Myint, Frilasita A. Yudhaputri, Neeraja Venkateswaran, Kodumudi Venkateswaran, Venkatachalam Udhayakumar, William A. Hawley, Juliette Morgan, Paul M. Pronyk
Sars-Cov-2 Antibody Seroprevalence In Jakarta, Indonesia, Iwan Ariawan, Hafizah Jusril, Muhammad N Farid, Pandu Riono, Wiji Wahyuningsih, Widyastuti Widyastuti, Dwi Oktavia T L Handayani, Endang Sri Wahyuningsih, Rebekka Daulay, Retno Henderiawati, Safarina G. Malik, Rintis Noviyanti, Leily Trianty, Nadia Fadila, Khin Saw Aye Myint, Frilasita A. Yudhaputri, Neeraja Venkateswaran, Kodumudi Venkateswaran, Venkatachalam Udhayakumar, William A. Hawley, Juliette Morgan, Paul M. Pronyk
Kesmas
The SARS-CoV-2 transmission dynamics in low- and middle-income countries remain poorly understood. This study aimed to estimate the SARS-CoV-2 antibodies seroprevalence in Jakarta, Indonesia, and to increase knowledge of SARS-CoV-2 transmission in urban settings. A population-based serosurvey among individuals aged one year or older was conducted in Jakarta. Employing a multistage sampling design, samples were stratified by district, slum, and non-slum residency, sex, and age group. Blood samples were tested for IgG against three different SARS-CoV-2 antigens. Seroprevalence was estimated after applying sample weights and adjusting for cluster characteristics. In March 2021, this study collected 4,919 respondents. The weighted estimate …
A Stunting Prevention Risk Factors Pathway Model For Indonesian Districts/Cities With A Stunting Prevalence Of ≥30%, Nina Fentiana, Endang L. Achadi, Besral Besral, Abram Kamiza, Trini Sudiarti
A Stunting Prevention Risk Factors Pathway Model For Indonesian Districts/Cities With A Stunting Prevalence Of ≥30%, Nina Fentiana, Endang L. Achadi, Besral Besral, Abram Kamiza, Trini Sudiarti
Kesmas
The prevalence of stunting in Indonesian children aged 0-23 months is a public health problem caused by direct and indirect factors. This study aimed to discover the path of the relationship between various risk factors and the stunting prevalence of ≥30% in 165 districts/cities in Indonesia. Data were obtained from the 2018 National Basic Health Research, National Socioeconomic Survey, and the Statistics Indonesia with a cross-sectional approach. The secondary data on stunting and risk factors were aggregated at the district/city level from individual data; children aged 0-23 months. The path analysis used to determine a stunting prevention model showed that …