Democratizing social scientists' impact on federal policy: Using the evidence act to help government and ourselves.

It is common for social scientists to discuss the implications of our research for policy. However, what actions can we take to inform policy in more immediate and impactful ways, regardless of our existing institutional affiliations or personal connections? Focusing on federal policy, I suggest that the answer requires understanding a basic coordination problem. On the government side, the Foundations of Evidence-based Policymaking Act (2018) requires that large federal agencies pose, communicate, and answer research questions related to their effects on people and communities. This advancement has opened the black box of federal agency policy priorities, but it has not addressed capacity challenges: These agencies often do not have the financial resources or staff to answer the research questions they pose. On the higher education side, we have more than 150,000 academic social scientists who are knowledge producers and educators by training and vocation. However, especially among those in disciplinary departments, or those without existing institutional or personal connections to federal agencies, we often feel locked out of federal policymaking processes. In this article, I define the coordination problem and offer concrete actions that the academic and federal government communities can take to address it. I also offer leading examples of how academics and universities are making public policy impact possible in multiple governmental spheres. I conclude by arguing that both higher education institutions and all levels of government can do more to help academic social scientists put our knowledge to work in service of the public good.

Can Generative AI improve social science?

Generative AI that can produce realistic text, images, and other human-like outputs is currently transforming many different industries. Yet it is not yet known how such tools might influence social science research. I argue Generative AI has the potential to improve survey research, online experiments, automated content analyses, agent-based models, and other techniques commonly used to study human behavior. In the second section of this article, I discuss the many limitations of Generative. I examine how bias in the data used to train these tools can negatively impact social science research-as well as a range of other challenges related to ethics, replication, environmental impact, and the proliferation of low-quality research. I conclude by arguing that social scientists can address many of these limitations by creating open-source infrastructure for research on human behavior. Such infrastructure is not only necessary to ensure broad access to high-quality research tools, I argue, but also because the progress of AI will require deeper understanding of the social forces that guide human behavior.

A poetic inquiry: the role of the social sciences and humanities in revitalising AIDS.

For the past four decades, biomedical science has transformed clinical outcomes for HIV and AIDS. However, the social, economic and gendered determinants of HIV remain largely intact. The social science and humanities offer concepts and methods for articulating why these remain intractable. I used poetic inquiry - an arts-based, qualitative approach - as I reviewed literature on the "end of AIDS, and post-AIDS". As I did so, I considered what contribution the social sciences and humanities could make in moving us closer to these ideals. Several themes and found poems emerged in this reading: (1) how language oversimplifies complex social realities; (2) the voices of people living with HIV and AIDS must be included; (3) HIV and AIDS intersects with social inequalities; (4) social and structural issues are no barrier to HIV prevention and (5) the need for radical interdisciplinarity. The paper concludes that the end of AIDS requires responses that are integrated, holistic and that radically challenge our silo'd disciplinary boundaries and frames. The social sciences and humanities are key to this charge.

The scope of empowerment for conservation and communities.

Conservationists increasingly position conservation that is mutually beneficial to people and biodiversity on the promise of empowerment of people through participatory discourse, metrics, processes, and outcomes. Empowerment represents multidimensional concepts and theories that permeate the interlinking levels of power, from the psychological to the political, and social scales in which conservation operates. The multifaceted nature of empowerment makes it challenging to understand, pursue, and evaluate as a central philosophical commitment and goal-oriented practice in conservation. Moreover, definitional and methodological uncertainty may disempower interested and affected groups because they can foster conceptual assumptions that reinforce institutionalized barriers to systemic changes. Despite these complexities, there are no targeted reviews of empowerment in conservation. We conducted a scoping review of the conservation literature to synthesize the meanings and uses of empowerment in the field. We reviewed 121 of the most cited conservation articles that invoked or assessed empowerment from 1992 to 2017 to document geographic, conceptual, and methodological trends in the scales and theories of empowerment deployed by conservationists. Research claiming or assessing empowerment through conservation often focused on communities in the Global South. Most studies relied on qualitative and mixed methods (78%) collected largely from male or non-Indigenous participants. Few studies (30%) defined the 20 types of empowerment they referenced. Fewer studies (3%) applied empowerment theories in their work. Our findings show that empowerment discourse of local and Indigenous communities permeates the discourse of people-centered conservation. Yet, overreliance on empowerment's rhetorical promise and minimal engagement with theory (e.g., postcolonial theory) risks disempowering people by obscuring empowerment's foundational value to conservation and communities and oversimplifying the complex realities of people-centered conservation. Lasting change could come from more meaningful engagement with empowerment, including coproducing definitions and measures with and for disempowered social groups to tackle widespread power disparities in conservation today.

El alcance del empoderamiento para la conservación y las comunidades Resumen Con frecuencia los conservacionistas posicionan a la conservación como benéfica para las personas y la biodiversidad mediante discursos, medidas, procesos y resultados participativos que prometen el empoderamiento de la gente. El empoderamiento representa conceptos y teorías multidimensionales que permean los niveles interconectados de poder, desde el psicológico al político, y las escalas sociales en las que opera la conservación. La naturaleza multifacética del empoderamiento complica que se entienda, se dé seguimiento y se evalúe como un compromiso filosófico central y una práctica orientada hacia las metas dentro de la conservación. Además, la incertidumbre metodológica y de definición pueden restar autoridad a los grupos interesados o afectados pues pueden promover suposiciones conceptuales que refuerzan las barreras institucionales de los cambios sistémicos. A pesar de estas complejidades, no existen revisiones focalizadas del empoderamiento en la conservación. Realizamos una revisión de alcance de la literatura de conservación para sintetizar los significados y usos de la palabra empoderamiento en este campo. Revisamos 121 de los artículos sobre conservación más citados que invocaron o evaluaron el empoderamiento entre 1992 y 2017 para documentar las tendencias geográficas, conceptuales y metodológicas en las escalas y teorías del empoderamiento usadas por los conservacionistas. La mayoría de los artículos que afirmaban o evaluaban el empoderamiento por medio de la conservación se enfocaron en comunidades del Sur Global. La mayoría de los estudios dependieron de métodos cualitativos y mixtos (78%) tomados principalmente de participantes masculinos o no indígenas. Pocos estudios (30%) definieron los 20 tipos de empoderamiento que referenciaron. Todavía menos estudios (3%) aplicaron las teorías de empoderamiento a su trabajo. Nuestros descubrimientos muestran que el discurso de empoderamiento de las comunidades locales e indígenas permea el discurso de la conservación centrada en la gente. Sin embargo, depender en exceso de la promesa retórica del empoderamiento e involucrarse en lo mínimo con la teoría (p. ej.: teoría postcolonial) arriesga que la gente se pierda autoridad al oscurecer el valor fundamental que tiene el empoderamiento para la conservación y las comunidades y simplificar sobremanera las realidades complejas de la conservación centrada en las personas. El cambio duradero podría venir de involucrarse de forma más significativa con el empoderamiento, lo que incluye la coproducción de definiciones y medidas con y para los grupos sociales no empoderados para resolver la disparidad de poder que existe hoy en día en la conservación.

Bioethicists Today: Results of the Views in Bioethics Survey.

Bioethicists influence practices and policies in medicine, science, and public health. However, little is known about bioethicists' views. We recently surveyed 824 U.S. bioethicists on a wide range of ethical issues, including topics related to abortion, medical aid in dying, and resource allocation, among others. We also asked bioethicists about their demographic, religious, academic, and professional backgrounds. We find that bioethicists' normative commitments predict their views on bioethical issues. We also find that, in important ways, bioethicists' views do not align with those of the U.S. public: for instance, bioethicists are more likely than members of the public to think abortion is ethically permissible but are less likely to believe compensating organ donors is. Our demographic results indicate the field of bioethics is far less diverse than the U.S. population-less diverse even than other academic disciplines-suggesting far more work needs to be done to build an inclusive field.

Shadows of wisdom: Classifying meta-cognitive and morally grounded narrative content via large language models.

We investigated large language models' (LLMs) efficacy in classifying complex psychological constructs like intellectual humility, perspective-taking, open-mindedness, and search for a compromise in narratives of 347 Canadian and American adults reflecting on a workplace conflict. Using state-of-the-art models like GPT-4 across few-shot and zero-shot paradigms and RoB-ELoC (RoBERTa -fine-tuned-on-Emotion-with-Logistic-Regression-Classifier), we compared their performance with expert human coders. Results showed robust classification by LLMs, with over 80% agreement and F1 scores above 0.85, and high human-model reliability (Cohen's κ Md across top models = .80). RoB-ELoC and few-shot GPT-4 were standout classifiers, although somewhat less effective in categorizing intellectual humility. We offer example workflows for easy integration into research. Our proof-of-concept findings indicate the viability of both open-source and commercial LLMs in automating the coding of complex constructs, potentially transforming social science research.

Diminished diversity-of-thought in a standard large language model.

We test whether large language models (LLMs) can be used to simulate human participants in social-science studies. To do this, we ran replications of 14 studies from the Many Labs 2 replication project with OpenAI's text-davinci-003 model, colloquially known as GPT-3.5. Based on our pre-registered analyses, we find that among the eight studies we could analyse, our GPT sample replicated 37.5% of the original results and 37.5% of the Many Labs 2 results. However, we were unable to analyse the remaining six studies due to an unexpected phenomenon we call the "correct answer" effect. Different runs of GPT-3.5 answered nuanced questions probing political orientation, economic preference, judgement, and moral philosophy with zero or near-zero variation in responses: with the supposedly "correct answer." In one exploratory follow-up study, we found that a "correct answer" was robust to changing the demographic details that precede the prompt. In another, we found that most but not all "correct answers" were robust to changing the order of answer choices. One of our most striking findings occurred in our replication of the Moral Foundations Theory survey results, where we found GPT-3.5 identifying as a political conservative in 99.6% of the cases, and as a liberal in 99.3% of the cases in the reverse-order condition. However, both self-reported 'GPT conservatives' and 'GPT liberals' showed right-leaning moral foundations. Our results cast doubts on the validity of using LLMs as a general replacement for human participants in the social sciences. Our results also raise concerns that a hypothetical AI-led future may be subject to a diminished diversity of thought.

Dating apps as health allies? Examining the opportunities and challenges of dating apps as partners in public health.

In recent years, dating apps have become important allies in public health. In this paper, we explore the implications of partnering with dating apps for health promotion. We consider the opportunities and challenges inherent in these collaborations, paying special attention to privacy, trust, and user care in a digital environment.Despite their potential as targeted health promotion tools, dating apps raise significant ethical concerns, including the commodification of user data and privacy breaches, which highlight the complexities of blending healthcare initiatives with for-profit digital platforms. Furthermore, the paper delves into issues of discrimination, harassment and unequal access within these apps, factors which can undermine public health efforts.We develop a nuanced framework, emphasising the development of transparent data policies, the decoupling of content moderation from health initiatives and a commitment to combat discrimination. We underscore the importance of embedding app-based health initiatives within broader care pathways, ensuring comprehensive support beyond the digital domain. This essay offers vital insights for public health practitioners, app developers and policymakers navigating the intersection of digital innovation and healthcare.

Living happily alone in Plato's cave? On loneliness, technology and the metaphysics of presence.

In a lot of research on loneliness and technology, there is an underlying premise that actual, physical presence is more real than 'virtual' presence. This premise is rarely explicit, yet it implies a hierarchy of reality, where the 'here and now' is always on top. In this theoretical paper, we examine this latent hierarchy and the understandings of presence and mediation it implies. We point towards potential consequences of this understanding for research on the role of technology in reducing loneliness and social isolation. To do this, we draw on the philosophical analysis made by Martin Heidegger and Jacques Derrida of what they called 'the metaphysics of presence'. This is the tendency to privilege presence as the only immediate and truthful access to reality, whereas all forms of mediations constitute mere approximations, derivations and second-rate realities with dubious truth value. First, we present their diagnosis, and then we show how it pertains to research on virtual presence and loneliness by analysing some examples from this research. Finally, we discuss some potential implications of the metaphysics of presence through a case story compiled from our empirical research. Our foundational assertion is that the question of whether anyone experiences loneliness is an empirical and not a metaphysical question. If we want to properly understand loneliness and the potential for alleviating it through the use of teletechnologies, we might get off on the wrong foot if we carry with us assumptions suggesting the existence of ascending levels of reality and presence.

A facilitator's reflection on the democratizing potential of emancipatory practice development.

Emancipatory practice development (ePD) is a practitioner-led research methodology which enables workplace transformation. Underpinned by the critical paradigm, ePD works through facilitation and workplace learning, with people in their local context on practice issues that are significant to them. Its purpose is to embed safe, person-centred learning cultures which transform individuals and workplaces. In this article, we critically reflect on a year-long ePD study in an acute care hospital ward. We explore the challenges of practice change within systems, building collective strength with frontline collaborations and leadership to sustain new learning cultures. Our work advances practice development dialogue through working closely with the underpinning theories. Our critique analyses how ePD can enact and sustain change within a complex system. We argue that ePD works to strengthen safety cultures by challenging antidemocratic practices through communicative action. By opening communicative spaces, ePD enables staff to collectively deliberate and reach consensus. Their raised awareness supports staff to resist ways of working which conspire against safe patient care. Sustainability of practice change is fostered by the co-operative democracies created within the frontline team and meso level enablement. We conclude that the democratising potential of ePDt generates staff agency at the frontline.

Decoding the News Media Diet of Disinformation Spreaders.

In the digital era, information consumption is predominantly channeled through online news media and disseminated on social media platforms. Understanding the complex dynamics of the news media environment and users' habits within the digital ecosystem is a challenging task that requires, at the same time, large databases and accurate methodological approaches. This study contributes to this expanding research landscape by employing network science methodologies and entropic measures to analyze the behavioral patterns of social media users sharing news pieces and dig into the diverse news consumption habits within different online social media user groups. Our analyses reveal that users are more inclined to share news classified as fake when they have previously posted conspiracy or junk science content and vice versa, creating a series of "misinformation hot streaks". To better understand these dynamics, we used three different measures of entropy to gain insights into the news media habits of each user, finding that the patterns of news consumption significantly differ among users when focusing on disinformation spreaders as opposed to accounts sharing reliable or low-risk content. Thanks to these entropic measures, we quantify the variety and the regularity of the news media diet, finding that those disseminating unreliable content exhibit a more varied and, at the same time, a more regular choice of web-domains. This quantitative insight into the nuances of news consumption behaviors exhibited by disinformation spreaders holds the potential to significantly inform the strategic formulation of more robust and adaptive social media moderation policies.

Social media and social impact assessment: Evolving methods in a shifting context.

Among many by-products of Web 2.0 come the wide range of potential image and text datasets within social media and content sharing platforms that speak of how people live, what they do, and what they care about. These datasets are imperfect and biased in many ways, but those flaws make them complementary to data derived from conventional social science methods and thus potentially useful for triangulation in complex decision-making contexts. Yet the online environment is highly mutable, and so the datasets are less reliable than censuses or other standard data types leveraged in social impact assessment. Over the past decade, we have innovated numerous methods for deploying Instagram datasets in investigating management or development alternatives. This article synthesizes work from three Canadian decision contexts - hydroelectric dam construction or removal; dyke realignment or wetland restoration; and integrating renewable energy into vineyard landscapes - to illustrate some of the methods we have applied to social impact assessment questions using Instagram that may be transferrable to other social media platforms and contexts: thematic (manual coding, machine vision, natural language processing/sentiment analysis, statistical analysis), spatial (hotspot mapping, cultural ecosystem modeling), and visual (word clouds, saliency mapping, collage). We conclude with a set of cautions and next steps for the domain.

Parmi les nombreux sous-produits du Web 2.0 figure un large éventail de données provenant d'images et de textes, de contenus de médias sociaux et de plateformes numériques, qui révèlent comment les gens vivent, ce qu'ils font et les questions qui les préoccupent. Ces ensembles de données sont imparfaits et biaisés à bien des égards, mais nombre de leurs lacunes les rendent complémentaires des informations collectées par les sciences sociales à l'aide de méthodes conventionnelles. D'où leur utilité potentielle pour la triangulation dans des contextes décisionnels complexes. Cet article synthétise le travail de trois études de cas menées au Canada pour illustrer certaines des méthodes que nous avons développées et qui pourraient être utiles à d'autres chercheurs en EIS: thématiques (codage, apprentissage automatique, analyse sémantique, association statistique), spatiales (cartographie des points chauds, modélisation du transfert des bénéfices) et visuelles (cartes de saillance, collage).

Entre los muchos subproductos de la Web 2.0 se encuentra una amplia gama de datos de imágenes y texto, contenidos en redes sociales y plataformas digitales, que hablan de cómo vive, qué hace y por qué cuestiones se preocupa la gente. Estos conjuntos de datos son imperfectos y sesgados en muchos sentidos, pero muchos de sus defectos los hacen complementarios a la información recogida por las ciencias sociales con métodos convencionales. De ahí su potencial utilidad para la triangulación en contextos complejos de toma de decisiones. Este artículo sintetiza el trabajo de tres estudios de caso llevados a cabo en Canadá para ilustrar algunos de los métodos que hemos desarrollado y pueden resultar útiles para otros investigadores en EIS: temáticos (codificación, machine learning, análisis semántico, asociación estadística), espaciales (mapeo de puntos críticos, modelización de transferencia de beneficios) y visuales (mapas de saliencia, collage).

Professional opportunities, gender obstacles, and narrowed progression: The case of the first Social Science Research Council female fellows (1925-1934).

Between the years 1925 and 1934, the Social Science Research Council (SSRC) awarded 198 postdoctoral research fellowships to early-career social scientists, among which 29 were awarded to women. This article, which is based on the SSRC directory and Rockefeller institutions' records, examines the professional paths of these female fellows to shed light on the presence of women in the social sciences and to probe the peculiarities of their professional trajectories. The SSRC fellowships represented a significant professional prospect for brilliant young female graduates who were often denied similar opportunities in other fields. Nonetheless, they did not eradicate all gender discrimination that remained prevalent, not only in the vertical sense by preventing women from progressing in the academic hierarchy, but also in the horizontal sense by retaining them in designated spaces (specific disciplines or institutions) that were underrecognized. Ultimately, the analysis of women's professional paths underscores the importance of examining the private or intimate lives of scientists to gain a more in-depth understanding of the social structure of science and its impact on its protagonists.

[Developing cultural competence in nursing schools]. / Le développement de la compétence culturelle en institut de formation en soins infirmiers.

Cultural competence is not mentioned as such in the training standards for future nurses, but it is essential for appropriate, personalized and effective care. Learning about and reflecting on one's own history and culture enable an open relationship with patients from other cultures.

Epilogue: The Language Opportunities for the 21st Century.

This epilogue to the Special Issue on Language Challenges in the 21st Century offers commentary on the current state of social scientific inquiry in the field of language and social psychology. Inspired by the seven articles that make up this Special Issue, I became curious about what we would find if we sought language opportunities instead of language challenges in the 21st century. I recommend future scholarship at the intersections of global and linguistic diversity include a positive social science approach in order to consider the full spectrum of challenges and assets. I conclude with a note about the direction of future research related to COVID-19.

A field guide for teaching evolution in the social sciences.

The theory of evolution by natural selection has begun to revolutionize our understanding of perception, cognition, language, social behavior, and cultural practices. Despite the centrality of evolutionary theory to the social sciences, many students, teachers, and even scientists struggle to understand how natural selection works. Our goal is to provide a field guide for social scientists on teaching evolution, based on research in cognitive psychology, developmental psychology, and education. We synthesize what is known about the psychological obstacles to understanding evolution, methods for assessing evolution understanding, and pedagogical strategies for improving evolution understanding. We review what is known about teaching evolution about nonhuman species and then explore implications of these findings for the teaching of evolution about humans. By leveraging our knowledge of how to teach evolution in general, we hope to motivate and equip social scientists to begin teaching evolution in the context of their own field.

Understanding the roles of economy and society in the relative risks of zoonosis emergence from livestock.

The emergence of zoonotic infections that can develop into pathogens of pandemic potential is a major concern for public health. The risks of emergence and transmission relate to multiple factors that range from land use to human-non-human animal contacts. Livestock agriculture plays a potentially significant role in those risks, shaping landscapes and providing hosts that can act as the source or amplifiers of emergent pathogens. The relative risks will be contingent upon the nature of those systems, with comparisons often made between intensive, indoor, biosecure systems and more extensive, outdoor, insecure systems. Microbiological, ecological and veterinary sciences provide useful entry points in specifying and modelling some of the relative risks. Yet, they often do so with little regard for social science inputs and by making assumptions about social and economic conditions. In this article, we respond to recent analyses of relative risks by raising the importance of social and economic drivers of risk. We chart social science insights and research that materially alter the zoonotic risks associated with livestock production. Our purpose is to emphasize the requirement for full appreciation of the social, economic and political components of zoonotic and pandemic risk.

GP remote consultations with marginalised patients and the importance of place during care: a qualitative study of the role of place in GP consultations.

BACKGROUND: Since COVID-19 there been an increase in the use of remote consultations in General Practice in the UK. This leads to the displacement of the consultation outside of the physical GP practice, and its 'emplacement' elsewhere, with underexplored consequences for inequities of healthcare in marginalised groups. AIM: This paper examines the place-making demands that remote consultations make on patients, and the ways that these affect their experiences of care, with a focus on the impact on patients from marginalised groups. DESIGN & SETTING: Ethnography and interview study (n=15) undertaken at three sites in London: a foodbank, a community development organisation, and a drop-in advice centre for migrants. Additionally, GPs (n=5) working at practices in London Digital Health Hub staff (n=4) and staff at fieldwork sites (n=3) were interviewed. METHOD: Ethnographic observation (n=84 hours) and semi-structured interviews (n=27). Interviews were conducted in-person and over the phone and data were analysed through reflexive thematic analysis. RESULTS: The core themes emerging from the data included challenges securing privacy during remote consultations, and the loss of formal healthcare spaces as important places of care. These findings were closely tied to resource access, leading to inequities in experiences of care. CONCLUSION: Remote GP consultations are not "place-less" encounters, and inequities in access to suitable spaces may lead to inequities in experiences of care. Attention should be given to ensuring that patients without appropriate spaces for remote consultations are offered in-person care, or consultation times made more specific to allow for organisation of private space.

Implications of the genomic revolution for education research and policy.

Research at the intersection of social science and genomics, 'sociogenomics', is transforming our understanding of the interplay between genomics, individual outcomes and society. It has interesting and maybe unexpected implications for education research and policy. Here we review the growing sociogenomics literature and discuss its implications for educational researchers and policymakers. We cover key concepts and methods in genomic research into educational outcomes, how genomic data can be used to investigate social or environmental effects, the methodological strengths and limitations of genomic data relative to other observational social data, the role of intergenerational transmission and potential policy implications. The increasing availability of genomic data in studies can produce a wealth of new evidence for education research. This may provide opportunities for disentangling the environmental and genomic factors that influence educational outcomes and identifying potential mechanisms for intervention.

Analyzing political party positions through multi-language twitter text embeddings.

Traditional monolingual word embedding models transform words into high-dimensional vectors which represent semantics relations between words as relationships between vectors in the high-dimensional space. They serve as productive tools to interpret multifarious aspects of the social world in social science research. Building on the previous research which interprets multifaceted meanings of words by projecting them onto word-level dimensions defined by differences between antonyms, we extend the architecture of establishing word-level cultural dimensions to the sentence level and adopt a Language-agnostic BERT model (LaBSE) to detect position similarities in a multi-language environment. We assess the efficacy of our sentence-level methodology using Twitter data from US politicians, comparing it to the traditional word-level embedding model. We also adopt Latent Dirichlet Allocation (LDA) to investigate detailed topics in these tweets and interpret politicians' positions from different angles. In addition, we adopt Twitter data from Spanish politicians and visualize their positions in a multi-language space to analyze position similarities across countries. The results show that our sentence-level methodology outperform traditional word-level model. We also demonstrate that our methodology is effective dealing with fine-sorted themes from the result that political positions towards different topics vary even within the same politicians. Through verification using American and Spanish political datasets, we find that the positioning of American and Spanish politicians on our defined liberal-conservative axis aligns with social common sense, political news, and previous research. Our architecture improves the standard word-level methodology and can be considered as a useful architecture for sentence-level applications in the future.