The impact of informatization development on healthcare services in China.

China faces substantial challenges in healthcare access and quality, marked by significant regional disparities. While the potential of informatization to enhance healthcare services is increasingly acknowledged, the specific mechanisms through which it impacts healthcare delivery remain underexplored. By employing provincial panel data and dynamic spatial panel models, we aim to uncover the mechanisms through which informatization impacts healthcare delivery.

The use of artificial intelligence for automatic analysis and reporting of software defects.

The COVID-19 pandemic marked a before and after in the business world, causing a growing demand for applications that streamline operations, reduce delivery times and costs, and improve the quality of products. In this context, artificial intelligence (AI) has taken a relevant role in improving these processes, since it incorporates mathematical models that allow analyzing the logical structure of the systems to detect and reduce errors or failures in real-time. This study aimed to determine the most relevant aspects to be considered for detecting software defects using AI.

Towards a Multi-Stakeholder process for developing responsible AI governance in consumer health.

Introduction: AI is big and moving fast into healthcare, creating opportunities and risks. However, current approaches to governance focus on high-level principles rather than tailored recommendations for specific domains like consumer health. This gap risks unintended consequences from generic guidelines misapplied across contexts and from providing answers before agreeing on the questions.

A taste of ambrosia: Do Olympic medalists live longer than Olympic losers?

Objective: To investigate the longevity of a large sample of Olympic Games participants, considering the interaction between different types of sports and medal awards.

Methodolgy: Data scraping from Wikipedia and Wikidata allowed us to collect a sample of 102,993 famous athletes. We selected 20 of the most populated disciplines to make the groups comparable.

Staying with the trouble of networks.

Networks have risen to prominence as intellectual technologies and graphical representations, not only in science, but also in journalism, activism, policy, and online visual cultures. Inspired by approaches taking trouble as occasion to (re)consider and reflect on otherwise implicit knowledge practices, in this article we explore how problems with network practices can be taken as invitations to attend to the diverse settings and situations in which network graphs and maps are created and used in society. In doing so, we draw on cases from our research, engagement and teaching activities involving making networks, making sense of networks, making networks public, and making network tools.

Analyzing Twitter for Community-Level Public Health Messaging.

Funded in 2021 by the Centers for Disease Control and Prevention, Communities RISE Together (RISE) aims to increase the reach and effectiveness of messages to address vaccine hesitancy to further health equity. Twitter is a predominant social media source used by communities to share messaging and factual local information with constituents. We looked at the Twitter accounts of the organizations in 10 regional communities to examine social media communication patterns to guide how to increase messaging engagement.

Engaging Scientific Diasporas in STEAM Education: The Case of Science Clubs Colombia.

Currently, there is limited insight on the role that scientific diasporas can play in STEAM education in Latin America. Here, we present the Science Clubs Colombia (Clubes de Ciencia Colombia-SCC) program, a pioneering STEAM capacity-building initiative led by volunteer scientists to engage youth and children from underserved communities in science. The program brings together researchers based in Colombia and abroad to lead intensive project-based learning workshops for young students in urban and rural areas.

Participation in wiki communities: reconsidering their statistical characterization.

Peer production online communities are groups of people that collaboratively engage in the building of common resources such as wikis and open source projects. In such communities, participation is highly unequal: few people concentrate the majority of the workload, while the rest provide irregular and sporadic contributions. The distribution of participation is typically characterized as a power law distribution.

An analysis of AstraZeneca COVID-19 vaccine misinformation and fear mongering on Twitter.

Objectives: The objective of this study was to analyse the media discourse about the AstraZeneca COVID-19 vaccine on Twitter.

Study Design: The study design used in this study is data scraping, media analysis, social network analysis, and botometer.

Methods: We collected 221,922 tweets containing '#AstraZeneca' from 1 January 2021 to 22 March 2021.

Regulating AI in medicine in the United States and Europe.

The regulatory landscape for artificial intelligence (AI) is shaping up on both sides of the Atlantic, urgently awaited by the scientific and industrial community. Commonalities and differences start to crystallize in the approaches to AI in medicine.

Commentary response: Smartphone use and parenting: re-stratifying the multiverse for families of young children.

Concerns have been raised that smartphones may harm children and families. Arguably, risk-driven discourses are not always evidence-based. This is a problem, because blanket assumptions of risk drowns out nuanced empirical questions of what constitutes "good" parenting when it comes to smartphone use, and for whom.

Preying on beauty? The complex social dynamics of overtourism.

Overtourism is an increasingly relevant problem for tourist destinations, and some cities are starting to take extreme measures to counter it. In this paper, we introduce a simple mathematical model that analyzes the dynamics of the populations of residents and tourists when there is a competition for the access to local services and resources, since the needs of the two populations are partly mutually incompatible. We study under what conditions a stable equilibrium where residents and tourists coexist is reached, and what are the conditions for tourists to take over the city and to expel residents, among others.

Framework for Managing the COVID-19 Infodemic: Methods and Results of an Online, Crowdsourced WHO Technical Consultation.

Background: An infodemic is an overabundance of information-some accurate and some not-that occurs during an epidemic. In a similar manner to an epidemic, it spreads between humans via digital and physical information systems. It makes it hard for people to find trustworthy sources and reliable guidance when they need it.

AI governance in the public sector: Three tales from the frontiers of automated decision-making in democratic settings.

The rush to understand new socio-economic contexts created by the wide adoption of AI is justified by its far-ranging consequences, spanning almost every walk of life. Yet, the public sector's predicament is a tragic double bind: its obligations to protect citizens from potential algorithmic harms are at odds with the temptation to increase its own efficiency - or in other words - to govern algorithms, while governing algorithms. Whether such dual role is even possible, has been a matter of debate, the challenge stemming from algorithms' intrinsic properties, that make them distinct from other digital solutions, long embraced by the governments, create externalities that rule-based programming lacks.

What Makes a Partner Ideal, and for Whom? Compatibility Tests, Filter Tests, and the Mating Stability Matrix.

We introduce a typological characterization of possible human heterosexual couples in terms of the concordance-opposition of the orientations of their active and receptive areas as defined by the tie-up theory. We show that human mating incentives, as characterized by widely adopted approaches, such as Becker's marriage market approach, only capture very specific instances of actual couples thus characterized. Our approach allows us to instead explore how super-cooperation among partners vs.

Protecting User Privacy and Rights in Academic Data-Sharing Partnerships: Principles From a Pilot Program at Crisis Text Line.

Data sharing between technology companies and academic health researchers has multiple health care, scientific, social, and business benefits. Many companies remain wary about such sharing because of unaddressed concerns about ethics, data security, logistics, and public relations. Without guidance on these issues, few companies are willing to take on the potential work and risks involved in noncommercial data sharing, and the scientific and societal potential of their data goes unrealized.

Digital Health Communication and Global Public Influence: A Study of the Ebola Epidemic.

Scientists and health communication professionals expressed frustration over the relationship between misinformation circulating on the Internet and global public perceptions of and responses to the Ebola epidemic originating in West Africa. Using the big data platform Media Cloud, we analyzed all English-language stories about keyword "Ebola" published from 1 July 2014 to 17 November 2014 from the media sets U.S.

Social selection and peer influence in an online social network.

Disentangling the effects of selection and influence is one of social science's greatest unsolved puzzles: Do people befriend others who are similar to them, or do they become more similar to their friends over time? Recent advances in stochastic actor-based modeling, combined with self-reported data on a popular online social network site, allow us to address this question with a greater degree of precision than has heretofore been possible. Using data on the Facebook activity of a cohort of college students over 4 years, we find that students who share certain tastes in music and in movies, but not in books, are significantly likely to befriend one another. Meanwhile, we find little evidence for the diffusion of tastes among Facebook friends-except for tastes in classical/jazz music.

Emotions as infectious diseases in a large social network: the SISa model.

Human populations are arranged in social networks that determine interactions and influence the spread of diseases, behaviours and ideas. We evaluate the spread of long-term emotional states across a social network. We introduce a novel form of the classical susceptible-infected-susceptible disease model which includes the possibility for 'spontaneous' (or 'automatic') infection, in addition to disease transmission (the SISa model).