The study rests on a large-scale telephone survey conducted by Spain’s Centro de Investigaciones Sociológicas between 6 and 15 February 2025, the first national survey the institute has devoted entirely to artificial intelligence. Interviews were completed in 1,131 municipalities across all 50 provinces, with stratified sampling by region and municipality size to ensure the sample mirrors the adult population. The crucial question asked respondents to rate, on a scale from 1 to 10, how comfortable they would personally feel undergoing a medical operation performed by a robot. Around that single outcome, the researchers assembled three clusters of explanatory variables: sociodemographic characteristics including sex, age, education, income and political ideology; attitudes toward and familiarity with AI; and perceptions of AI regulation, including awareness of the European Union’s AI Act.

The headline result is sobering for anyone expecting enthusiasm. Overall comfort with robot-performed surgery was moderate to low, averaging roughly 4 on the 10-point scale, and the differences between groups were substantial. Men reported a mean comfort score of 4.83, compared with just 3.77 for women, a statistically significant gap. Even more counterintuitive is the age pattern: comfort rose steadily across the life course, from 3.67 among respondents aged 18 to 34 to 4.79 among those 65 and older, inverting the familiar stereotype of tech-wary seniors and digital-native optimists. Income and education also mattered, with the highest earners, those bringing in more than 6,000 euros per month, recording the highest mean comfort of any income group at 5.23, while people with no formal education scored lowest.

To disentangle these overlapping factors, the researchers built hierarchical linear regression models, entering variables in three theoretical blocks and measuring how much explanatory power each block added. Sociodemographics alone explained 7.1 percent of the variance in comfort. Adding attitudes toward AI pushed the total to 15.8 percent, the single largest jump in the analysis. The regulation block contributed a further, more modest increment, bringing the final model to 16.8 percent of explained variance. The statistics themselves tell a story: what people believe and feel about artificial intelligence matters more for their comfort with robotic surgery than who they are, and governance perceptions, while real, play only a supporting role.

Within the final model, the strongest predictor by a clear margin was the perceived benefits of AI, measured as a count of the domains in which respondents thought AI would do more good than harm, with a standardized coefficient of 0.244. Age followed at 0.207, confirming that older Spaniards were markedly more at ease with the surgical scenario. Positive feelings toward AI, self-reported knowledge, household income, and education all contributed smaller positive effects. On the negative side, agreeing that implementing stricter ethical standards and legal safeguards for AI is one of humanity’s most significant challenges was the strongest reducer of comfort at minus 0.094, followed by being female at minus 0.093 and holding more right-wing ideological positions at minus 0.062.

The gender gap deserves particular attention because it echoes a growing international literature. Previous studies have found that women use generative AI tools less frequently, in large part because they are more sensitive to the social and ethical risks these technologies pose, and research on robotic surgery has repeatedly shown men expressing more favorable attitudes and greater willingness to undergo robot-assisted procedures. The Spanish data are consistent with that pattern, although the authors are careful about interpretation: they did not estimate interaction or mediation models, so they cannot say whether women prioritize harms while men emphasize benefits. Differential risk perception, unequal technological exposure, and differing healthcare experiences all remain plausible explanations to be tested directly in future work.

The age finding is equally puzzling and deliberately hedged. Much research links older age to lower acceptance of digital technologies, and studies of AI adoption among older adults emphasize that the real driver is the combination of age with digital literacy rather than age itself. Yet in this surgical scenario, older respondents were the most comfortable group. The authors suggest several non-exclusive explanations: greater perceived healthcare need, stronger expectations of clinical benefit, cohort effects, or even the way the survey question was worded. What they reject is the leap to a general claim that older citizens embrace healthcare AI more broadly; the result is a context-specific association that requires replication before it can be generalized.

Perhaps the most politically consequential finding concerns regulation. Awareness of the EU AI Act, adopted in 2024 to impose safeguards on high-risk AI applications, and general agreement with AI regulation showed no independent positive association with comfort in the adjusted models. The regulatory block added only about one percentage point to explained variance. In raw means, people who had heard of the AI Act did report slightly higher comfort, 4.65 versus 4.02, and supporters of the law scored 4.88 versus 3.99, but these unadjusted differences may simply reflect confounding by education, income, ideology or AI knowledge. The authors conclude that the formal existence and public visibility of regulation cannot be assumed to translate automatically into comfort with a specific application, a caution that cuts directly against the common assumption that passing laws is enough to win public trust.

The study is explicit about its limits. The outcome is a single hypothetical item about robot surgery, not actual patient behavior, and the survey captured no direct measures of trust in technology, clinicians, hospitals or regulators, leaving trust as a theoretically important but untested mechanism. Most individual variation, more than 83 percent, remains unexplained, and factors such as health status, prior experience with robotic procedures, and knowledge of human oversight were absent from the questionnaire. Spain’s predominantly public healthcare system and its specific regulatory context also shape the findings. Still, the message for policymakers is pointed: deploying the technology, enacting regulations, and issuing public information campaigns are not sufficient conditions for acceptance. Making the role of professionals, the degree of human oversight, accountability arrangements and expected clinical benefits genuinely intelligible to different social groups, the authors argue, is what responsible implementation of healthcare AI must now deliver.

Subject of Research: Public comfort with robot-performed surgery in Spain and its social, political, and regulatory correlates

Article Title: Public receptiveness to healthcare AI in Spain: social, political, and regulatory correlates in a surgical scenario

Article References: Loureiro-Álvarez, I., Savostsikava, A., & Bouzas-Lorenzo, R. (2026). Public receptiveness to healthcare AI in Spain: social, political, and regulatory correlates in a surgical scenario. Frontiers in Political Science, 8, Article 1947858. https://doi.org/10.3389/fpos.2026.1947858

Image Credits: AI Generated

DOI: 10.3389/fpos.2026.1947858

Keywords: artificial intelligence, robotic surgery, healthcare AI, public opinion, Spain, EU AI Act, political ideology, gender gap, technology acceptance, digital divide, survey research, health policy

The study, published in PNAS Nexus and authored by Clotilde Napp, draws on two waves of the Programme for International Student Assessment, the triennial survey of fifteen-year-olds conducted by the Organisation for Economic Co-operation and Development. Using data from the 2012 and 2018 assessment rounds, the analysis covers roughly 750,000 students across 61 countries. PISA is unusually valuable for this kind of work because, alongside its tests in mathematics, reading, and science, it asks students an extensive battery of questions about their attitudes, motivations, and home lives. That combination allows researchers to connect what teenagers believe with how they actually perform.

At the heart of the study is a single, deceptively simple survey statement: “Trying hard at school is important.” Students indicated how much they agreed with it, and their answers became a measurable index of attitudes toward academic effort. The finding that emerged was striking in its consistency. In nearly every one of the 61 countries examined, boys were less likely than girls to agree that effort at school matters. This was not a quirk of one education system or one culture; it appeared across a wide range of economic and social settings, suggesting a pattern that transcends national borders.

Crucially, the attitude gap was not merely a survey artifact. Napp found that students’ responses to the effort question were correlated with their individual academic performance, and the link was especially pronounced in reading. Reading is the domain in which boys’ underachievement is most visible worldwide, and the study’s results suggest that a weaker belief in the value of effort may be part of the mechanism behind it. In other words, the students who doubted that hard work mattered tended, on average, to score lower, and boys were disproportionately represented among those doubters.

The geographic texture of the data adds another layer of complexity. The gender gap in attitudes toward effort was larger in more developed countries. That counterintuitive result complicates the assumption that gender inequality in education is primarily a problem of poorer nations. In wealthier economies, where girls already outpace boys in most measures of school success, boys appear particularly disengaged from the idea that diligence matters, raising questions about how modern, affluent societies socialize their sons into particular ideas about schoolwork.

The cross-country comparison also revealed a sobering ecological pattern: in nations where the attitude gap was larger, boys’ relative academic performance was weaker, and their participation in higher education was lower. The alignment held across most of the sample, with one conspicuous exception. The relationship did not extend to STEM fields, where boys’ enrollment and performance patterns follow different dynamics. This exception matters for policy discussions, because it suggests that the effort-belief gap operates most strongly in areas such as reading and general academic engagement rather than uniformly across the curriculum.

Behind the attitude gap may lie a deeper cultural story. According to the study’s author, the pattern is consistent with a persistent stereotype that associates talent and brilliance more with boys, while linking effort, diligence, and conscientiousness more with girls. If brilliance is coded as masculine, then a boy who struggles at school can rationalize his performance as a matter of innate ability rather than insufficient work. If diligence is coded as feminine, then trying visibly hard can feel at odds with a particular version of masculinity. Either way, the stereotype undermines the belief that sustained effort is the path to academic success, and the PISA data suggest that boys around the world have absorbed that message.

The study also examined the role of parents and found a further gendered divide. Boys were less likely than girls to report that their parents strongly supported their academic efforts. This difference in perceived parental support may both reflect and reinforce the attitude gap. Adolescents are sensitive to the expectations and encouragement they perceive at home, and if boys sense less active backing for their schoolwork, the cultural message that effort matters less for them is amplified. Parental behavior, in this framing, is not a separate factor but part of the same web of gendered expectations that shapes how teenagers approach learning.

The scale of the dataset lends the findings considerable weight. Three-quarters of a million students across six decades of countries, surveyed in two separate assessment waves, produce a picture that individual national studies could only sketch in fragments. Earlier research in specific countries had already hinted that boys held more negative attitudes about academic effort; what this analysis adds is the demonstration that the pattern is global, systematic, and quantitatively linked to real differences in achievement and educational trajectories.

For educators and policymakers, the implications are significant. Boys’ underachievement has often been treated as a structural problem solvable through curricular reform or teaching interventions, yet this study suggests that cultural beliefs about gender and effort deserve a central place in the conversation. If boys in developed countries are the most likely to reject the importance of trying hard, and if those beliefs track with poorer reading performance and lower university participation, then interventions aimed squarely at dismantling stereotypes about brilliance and diligence may be among the most effective tools available. The gender gap in education, the study reminds us, is not only about what happens in classrooms; it is about what boys come to believe before they ever sit down to study.

Subject of Research: Gender differences in attitudes toward academic effort and boys' educational underachievement

Article Title: Boys' academic underachievement and attitudes about effort

Article References: Boys' academic underachievement and attitudes about effort. (n.d.). Original publication

Image Credits: AI Generated

DOI: Not provided

Keywords: boys' underachievement, academic effort, PISA, gender gap, education, PNAS Nexus, OECD, reading performance, higher education, gender stereotypes, parental support, international study

The study, led by Ulya Tsolmon, associate professor of strategy at the Isenberg School of Management at UMass Amherst, and co-authored by Tingyu Du of California Polytechnic State University, finds that women in multi-unit firms had a 37 percent higher probability of internal promotion to CEO than women in stand-alone firms. The magnitude of that effect is notable in a context where promotion to the top job is extraordinarily rare in any given year. Across the dataset, promotion to CEO occurred in roughly 0.56 percent of about 2.4 million manager-year observations, meaning that any factor that shifts the odds by more than a third deserves serious attention from both researchers and boards.

The scale of the evidence base lends the finding considerable weight. The authors drew on 25 years of personnel records from the LexisNexis Directory of Corporate Affiliations, covering 616,754 managers at 49,135 U.S. companies between 1993 and 2017. That longitudinal design allowed the researchers to observe individual managers’ careers over time and to compare promotion outcomes across firms with different organizational architectures. Rather than relying on surveys or self-reported accounts of advancement, the study tracked what actually happened to hundreds of thousands of executives as they moved, or failed to move, toward the corner office.

The central mechanism the authors propose is accountability through measurable performance. When a manager runs a division with its own profit-and-loss statement, her results are quantified, comparable to those of the executives running other divisions, and, crucially, difficult to attribute to anyone else. This narrows the space for subjective judgment, the territory where decades of research on evaluation have repeatedly found bias creeping in. As Tsolmon explains, it is clear who has led the unit, and a division with its own P&L makes it much easier to say that a specific person ran a specific business and to point to the results. Performance becomes legible in a way that reputation, sponsorship and informal standing are not.

That legibility matters because promotion decisions at the highest level are rarely made on objective criteria alone. In centralized, stand-alone firms, assessments of senior managers often depend on internal control exercised through hierarchy, relationships and impression management. Executives advance by cultivating allies, navigating networks and shaping how their contributions are perceived. Tsolmon suggests that this environment can be more difficult for women if they have fewer chances to break into the networks that allocate resources and promotions. In a divisionalized firm, by contrast, the numbers produced by each unit create a common currency of evaluation that is harder for prejudice to distort.

The contrast with the historical record of the gender gap is stark. As recently as 2015, there were more men named John running major U.S. companies than there were women, Tsolmon notes, a comparison that captures the scale of the disparity better than any percentage. The gap, she emphasizes, is not just any disparity but a huge one. Against that backdrop, the finding that something as structural as firm architecture can move promotion odds by 37 percent reframes the problem. The explanation may have less to do with attitudes and more to do with accounting, with what information organizations generate about the people who work inside them.

We tend to think about organizational structure as a question of efficiency, coordination and control, Tsolmon says. But structure also determines what information organizations produce about people, and that can affect who gets ahead. This insight carries implications well beyond the question of who becomes CEO. If the visibility of performance shapes promotion outcomes at the top of the hierarchy, it may shape hiring, evaluation and advancement decisions at every level below. Multi-unit firms delegate more authority, which means they must mentor managers and tie incentives to results, practices that generate objective records of individual contribution as a byproduct of doing business.

The authors are careful about what the study does and does not show. The results describe associations rather than proof that restructuring a company will produce women CEOs, and Tsolmon is explicit that the prescription is definitely not that everybody should just go out there and become divisionalized. Companies do not choose their structures at random, and each architecture carries trade-offs. Divisionalization can impose costs of coordination, duplication and competition among units, and it is not a lever that boards can pull in isolation from strategy, industry and scale. The finding identifies a relationship, not a ready-made intervention.

There is also an important limit at the front end of the pipeline. Divisionalization does not necessarily address inequality elsewhere, particularly when it comes to who gets handed a division to run in the first place. If women are underrepresented among division heads, then even a fair, numbers-driven promotion process at the top will operate on a skewed candidate pool. The mechanism the study identifies works by making already-appointed leaders’ results harder to discount; it does not by itself correct the earlier sorting decisions that determine who leads a unit with its own P&L. Tsolmon would like future research to examine whether the gender gap emerges earlier on the career ladder, and whether the visibility of performance affects men and women differently as they climb.

For boards and executives, the study offers a way of thinking about diversity that shifts attention from attitudes to architecture. Rather than asking only how evaluators can be trained to judge fairly, it asks how organizations can be designed so that judgment has less room to wander, so that the record of who ran what, and with what results, speaks clearly enough that bias has fewer openings. Until we really understand the mechanisms behind the disparity, Tsolmon cautions, it is hard to prescribe solutions. But the research makes a compelling case that the path to the CEO suite runs through structures, not just sentiments, and that the ledgers companies keep may quietly decide who gets to sign them.

Subject of Research: The effect of firm divisionalization on the gender gap in CEO promotion

Article Title: Want more women CEOs? Start with company structure, research finds

Article References: Want more women CEOs? Start with company structure, research finds. (n.d.). Original publication

Image Credits: AI Generated

DOI: Not provided

Keywords: women CEOs, organizational structure, divisionalization, gender gap, CEO promotion, profit-and-loss accountability, Strategic Management Journal, corporate governance, leadership diversity, managerial careers, UMass Amherst, performance evaluation

The study draws on the BES dataset, the Benessere Equo e Sostenibile framework that the Italian National Institute of Statistics, Istat, has maintained since 2013 as an official dashboard of equitable and sustainable well-being. The framework spans twelve domains, ranging from economic well-being, education and health to environment, innovation, landscape and cultural heritage, politics and institutions, quality of services, security, social relations, subjective well-being, and work and life balance. Because the researchers wanted to compare well-being and gender equality on common ground, they restricted the analysis to the 64 indicators for which gender-disaggregated data are consistently available at the regional level, out of the full set of 85. A robustness check confirmed that this restriction barely matters: indices built from the reduced set correlate almost perfectly with those built from the full set, preserving the main territorial patterns.

The methodological core of the paper is its insistence on keeping two concepts separate that most existing indices quietly blend together. Widely used instruments such as the UNDP’s Gender-related Development Index, the Gender Inequality Index, and the European Institute for Gender Equality’s Gender Equality Index combine information about how well a territory performs overall with information about gaps between women and men. The authors, following earlier critiques by scholars such as Iñaki Permanyer, argue that achievement levels can dominate these supposedly equality-focused scores. To quantify the problem, they replicated the GEI methodology on BES data and decomposed each score into an achievement component and an equality component. The result was striking: in 71 percent of cases the achievement component contributed more than half of the final index value, and on average the equality component accounted for only about 42 percent. That finding sits uneasily with official GEI guidelines, which explicitly recommend that the equality contribution should outweigh the correcting factor for every country and variable.

To build their own gender equality measure, the researchers constructed outcome-based gap indicators, comparing women’s and men’s outcomes directly while disentangling parity from overall achievement. Both composite indices were assembled through a careful pipeline of normalisation, aggregation, and sensitivity testing. For the well-being index, the authors tested sixteen alternative specifications, combining four normalisation methods, including z-scores, min-max rescaling, distance-from-best, and Borda scores, with four aggregation schemes mixing linear additive averages and geometric averages. For the gender equality index, which is bounded between zero and one, four aggregation schemes were tested. Regional hierarchies proved remarkably stable across all specifications, with correlations between baseline and average rankings exceeding an R-squared of 0.99, and trimmed-bounds normalisation designed to guard against outliers changed essentially nothing.

The first headline finding concerns geography. Regional well-being follows the familiar North-South gradient that has defined Italian economic life since unification, with northern regions such as Bolzano, Trento, and Emilia-Romagna at the top and southern regions clustered at the bottom. Gender equality, by contrast, displays a far more fragmented geography, with no comparable clean gradient. This divergence matters because it means policymakers cannot assume that lifting a region’s overall standard of living will automatically close the gaps between women and men, nor that prosperous regions are necessarily the most egalitarian ones.

Principal component analysis sharpened the picture. For well-being, the PCA identified a single broad achievement dimension that dominates regional differences, consistent with the idea that prosperous regions tend to do better across the board. For gender equality, the structure was more multidimensional: a first component captured what the authors interpret as a human development and civic dimension, anchored in social relations, health, education, and politics and institutions, while a second, more cautiously interpreted component reflected quality of life and economic gender equality. A bootstrap stability check based on 2,000 resamples of the 21 regions confirmed that the first component is highly stable and that the second is consistently retained as a separate dimension, though its economic anchor is less certain. Combining the retained components yielded exploratory regional profiles in which high well-being and high gender parity do not necessarily coincide, a result the authors present as descriptive rather than a statistically optimal clustering.

The paper also documents which side of the gender gap is advantaged, and where. Across the overall index, male outcomes were more favourable than female outcomes in 57.9 percent of indicators on average, meaning male advantage remains widespread. The pattern varies sharply by domain: men outperform women in 81.0 percent of economic indicators and 74.3 percent of social relations indicators, while education is the most female-favourable domain, with male prevalence of only 31.7 percent. Health and politics and institutions fall in between. Regional variation in overall male prevalence is comparatively modest, ranging from 51.8 percent in Bolzano to 63.3 percent in Umbria, but within specific domains the spread is much wider, as in politics and institutions, where male prevalence runs from 31.0 percent in Bolzano to 69.0 percent in Basilicata.

On dynamics, the study applied three complementary convergence diagnostics, testing whether lower-scoring regions caught up, whether cross-regional dispersion declined, and whether regional rankings shifted. The results split cleanly along the two dimensions. Well-being shows a short-run catch-up pattern, with lower-scoring regions growing faster and aggregate dispersion declining, the main exception being health. Gender equality tells a different story: while several individual domains display negative catch-up coefficients, aggregate catch-up is not statistically significant and there is no evidence of overall convergence in dispersion. Notably, the COVID-19 pandemic produced only limited reordering of regional positions, with rank correlations between consecutive years remaining close to their long-run averages, 0.973 for well-being and 0.765 for gender equality across the pandemic transition years.

The authors are candid about limitations. The binary women-men structure of the analysis reflects the form in which BES indicators are consistently available at the regional level, a constraint of the empirical setting rather than a claim that gender inequality can be reduced to a binary comparison, a point that resonates with decades of intersectionality scholarship. Missing data affecting 11 of the 64 indicators were handled by carrying forward last available values at the end of series and imputing internal gaps with adjacent observations. The authors also stress that the five regional profiles are an exploratory refinement of a coarser two-cluster structure that statistical diagnostics actually favour, reflecting the dominant separation between higher- and lower-well-being regions.

The broader implication is methodological as much as substantive. Unified gender-sensitive indices, the authors conclude, are useful for communication but tend to obscure the trade-offs between achievement and parity that matter for policy. Keeping regional well-being and gender equality as distinct measurements, while examining their interaction, reveals patterns that a single blended score would hide: a country where average living standards are slowly converging from South to North, but where the geography of gender equality is scattered, multidimensional, and showing no sign of aggregate convergence. As governments worldwide search for alternatives to GDP in the wake of the Stiglitz-Sen-Fitoussi commission and the 2030 Agenda’s Sustainable Development Goals, this Italian experiment offers a template, and a warning, about what happens when equality and achievement are finally counted separately.

Subject of Research: Measurement of regional multidimensional well-being and gender equality in Italy using composite indicators

Article Title: Regional Well-Being and Gender Equality Beyond GDP: A Dual Measurement Framework

Article References: Mariani, M., Pietropaoli, A., & Rughi, T. (2026). Regional Well-Being and Gender Equality Beyond GDP: A Dual Measurement Framework. Social Indicators Research, 185(1), Article 4. https://doi.org/10.1007/s11205-026-03942-5

Image Credits: AI Generated

DOI: 10.1007/s11205-026-03942-5

Keywords: beyond GDP, multidimensional well-being, gender equality, composite indicators, Italy, regional disparities, BES framework, principal component analysis, convergence analysis, social indicators, Istat, gender gap

The bibliometric half of the study is a feat of patient data work. The team searched the Scopus database for English-language articles and reviews containing the terms “cloud physics” or “cloud microphysics” published between 1970 and 2020, filtered them to Earth and planetary science journals, and winnowed the initial 8,199 candidates down to 6,987 papers. For each one, they extracted author names, affiliations, countries, and funding information, then used an automated Python script together with the genderize.io service to assign a probable binary gender to first authors and co-authors, accepting only inferences with a certainty estimate above 75 percent. The authors are candid about the limits of this approach: name-based inference cannot capture non-binary or gender-diverse identities, and the survey itself confirmed that at least three respondents identify outside the gender binary. Still, the scale of the dataset makes the broad patterns difficult to dismiss.

Those patterns are stark. Women first authors barely appear in the cloud physics literature before the mid-1990s; only after roughly 1997 does their presence as lead authors become clearly visible, and even by 2020 just about 17 percent of studies in the field were led by women. The geographic skew is even more pronounced. Seventy-seven percent of all analyzed papers were led by authors from just seven countries: Canada, China, France, Germany, Japan, the United Kingdom, and the United States. Scientists based in the tropics, defined as those living and working between 23.5 degrees north and 23.5 degrees south, accounted for only about 5 percent of publications, with most of those coming from India, Brazil, Taiwan, Mexico, Indonesia, and Thailand. For a region that drives much of the planet’s precipitation and convection, the numbers amount to a scientific blind spot with colonial roots.

The most provocative finding concerns what the authors call parachute science. Of the 6,987 papers analyzed, only 44 were explicitly performed in the African tropics or used data from that region, and just seven of those, a mere 16 percent, included a tropics-based scientist as a co-author. In other words, when wealthy institutions send researchers to sample the atmosphere of lower-income countries, the local experts who make that work possible are frequently left off the byline. The pattern echoes a broader analysis of the Nature Index, which found that between 2015 and 2022 only 2.7 percent of articles across 82 natural science journals featured collaborations between higher-income and lower-income countries, and that in those articles richer countries contributed three authors for every one from a poorer nation. The study’s authors caution that excluding non-English papers may have shaped this conclusion, but the signal is consistent with decades of documented extractive practice.

The survey data add a human dimension to the statistics. Distributed before the 2021 virtual International Commission on Clouds and Precipitation meeting hosted from Pune, India, the 42-question instrument drew 231 responses, reduced to 198 after quality checks, covering an estimated 30 to 47 percent of the community’s active membership. Respondents skewed young, with 64 percent under 40, and 57.1 percent identified as men, 41.4 percent as women, and 1.5 percent outside the binary. Twenty-three percent of respondents identified as belonging to a historically and currently excluded group, and nearly half of those, 21 of 46, said that identity had negatively affected their careers through collaborations, promotions, publishing, funding, salary, or citations. Ten respondents reported disabilities, and six of them described feeling excluded because of it.

The numbers on harassment and hostility are difficult to read. One third of all respondents said they had experienced bullying or harassment from someone in the cloud physics community, and the burden fell unevenly: 44 percent of women reported such experiences compared with 27 percent of men, a statistically significant difference. Similarly, 37 percent of women versus 10 percent of men reported working in a hostile environment tied to their gender, ethnicity, sexual orientation, or disability, a moderate statistical association. Among LGBTQIA+ respondents, the share who did not feel included in the community rose to 44 percent, compared with 30 percent overall. The authors interpret these patterns through the lens of intersectionality, the framework developed by legal scholar Kimberlé Crenshaw, in which overlapping marginalized identities compound the likelihood of discrimination, while noting that small subgroup sizes limit statistical confidence in some of the finer breakdowns.

Not every result is grim. When the team traced individual Scopus author IDs to measure how long researchers stayed active in the field, they found that after 1995 there was no meaningful difference between men and women in how many years they remained, judging by publication activity. Women are not dropping out faster than men, contrary to the leaky-pipeline narrative that dominates discussions of academic gender gaps. The problem, instead, is at the entrance: even in the most recent five-year cohort, between 2015 and 2020, only about a third of scientists newly entering the field were women. The authors also found that papers led by women were published in journals with impact factors statistically comparable to those led by men, whereas papers from tropics-based scientists landed in lower-impact journals on average, a gap the authors link partly to language barriers, editorial desk rejections, and pressure to publish in local, non-indexed venues.

One intriguing secondary finding suggests a practical lever for change. Papers led by women included a better balance of women co-authors than papers led by men, mirroring a recent result from ice-core science showing that women-led studies had 20 percent more women co-authors. Tropics-based first authors likewise tended to bring in other tropics-based collaborators. Whether this reflects deliberate mentorship or homophily, the implication is the same: who holds the lead-author position shapes who else gets included. Putting more women and more scientists from the Global South into senior and leading roles may be one of the most direct mechanisms for diversifying the authorship base of the field, which in turn feeds into who designs the field campaigns and whose data enter the models.

The stakes extend well beyond fairness. The tropics host extraordinary biodiversity, biomass burning, dust emissions, and the vast convective systems of the Intertropical Convergence Zone, yet input observations for climate models are often calculated rather than actually sampled there. Excluding the scientists best positioned to collect those measurements is both an ethical failure and a scientific one, degrading the very data needed to validate satellite retrievals and improve projections for the regions already being hit hardest by climate change. The authors argue that an equity-centered approach, grounded in ethical responsibility rather than a business case for diversity, is what the moment demands, a stance aligned with the International Association for Promoting Geoethics.

The paper closes with concrete recommendations: institutional diversity training that extends beyond recruitment, funded participation of Global South early-career scientists in major conferences, unconscious-bias training for reviewers, gender-balanced hiring and editorial boards, journal policies against parachute science, and funding priorities for projects conceived and led by tropics-based researchers, alongside support for networks such as the Latin America Early Career Earth System Scientist Network and the cloudsfor.africa initiative. The journal’s editor went further, writing that the findings concern all of geoscience and deserve to be read by every geoscientist. For a community whose models must describe the whole planet, the message is unambiguous: the science of clouds cannot be done well by a fraction of the world’s scientists sampling a fraction of its sky.

Subject of Research: Diversity, equity, and inclusion in the cloud physics research community

Article Title: The state of diversity, equity, and inclusion in the cloud physics community

Article References: Ladino, L. A., Ardon-Dryer, K., Pereira, D. L., Proske, U., Ramirez-Diaz, Z., Velicu, A., & Kanji, Z. A. (2026). The state of diversity, equity, and inclusion in the cloud physics community. Geoscience Communication, 9(3), 415-436. https://doi.org/10.5194/gc-9-415-2026

Image Credits: AI Generated

DOI: 10.5194/gc-9-415-2026

Keywords: cloud physics, diversity, equity, inclusion, geosciences, parachute science, gender gap, Global South, tropics, bibliometrics, harassment, climate science

The research team, led by Geremew Motuma Jebessa of Jimma University together with Adugna Eneyew Bekele and Teferi Tolera, anchored their work in the Social-Ecological Systems framework pioneered by Elinor Ostrom, which treats forests and the communities that depend on them as an inseparable whole. To measure governance, they adopted the widely used assessment framework developed by the Program on Forests and the Food and Agriculture Organization, which evaluates six principles: participation, transparency, accountability, effectiveness, equity, and efficiency. Each principle was scored through dozens of indicators rated by residents on five-point scales, and the resulting data were distilled using a weighted average index before being fed into a Structural Equation Model, a statistical technique that can simultaneously test how multiple hidden factors influence one another along hypothesized causal pathways.

The headline result is stark. Overall forest governance in the Belete-Gera landscape scored a weighted average of 2.84 on a five-point scale, a rating the authors describe as moderate at best. Transparency fared relatively well at 3.22, and participation at 3.13, but accountability sank to 2.57 and efficiency to 2.45, the two weakest links in the governance chain. Residents reported that while they attend invited meetings and plant trees, the day-to-day monitoring and evaluation of the forest is monopolized by committees and experts, with youth and women almost entirely excluded. One key informant told the researchers that community members understand the importance of conservation and their own roles, but complain of a lack of transparency about forest benefits, weak rule enforcement, and persistent corruption.

The gender gap in these perceptions is one of the study’s most striking discoveries. Male household heads rated overall governance at 3.1, while female household heads rated it at only 2.64, a chasm that reflects women’s marginalization from forest decision-making despite their deep daily reliance on forest products. Women scored particularly low on perceptions of transparency in decisions about forest use and on the fairness of access to forest benefits. Given that rural women across the region gather firewood, wild coffee, honey, and spices that sustain their families, their exclusion from governance is not merely a matter of representation; the authors argue it undermines the very conservation commitments that the forest’s future depends on.

When the researchers ran the Structural Equation Model, the statistical architecture of community conservation came into focus. Perceived forest governance effectiveness had no significant direct effect on conservation behavior, an unexpected result the authors attribute to poor accountability among forest officers and the illegal leasing of demarcated forest land to private coffee investors, which has severely discouraged collective action. But governance effectiveness did something arguably more important: it strongly predicted community satisfaction with forest management, with a path coefficient of 0.232. That satisfaction, in turn, fed directly into conservation behavior. The indirect pathway, in which good governance builds satisfaction that then drives conservation, was significant with a coefficient of 0.33, the strongest indirect effect in the model.

The other major driver proved to be forest resource use itself, which predicted conservation behavior with a path coefficient of 0.29, the largest direct effect in the entire model. This finding challenges a persistent assumption that people protect forests best when kept away from them. In Belete-Gera, the opposite appears true: households that collect wild coffee, honey, spices, and firewood, and that sell forest products to meet basic needs, are the ones most motivated to patrol, prevent illegal logging, replant, and share knowledge. The community’s motivation for conservation scored a remarkable 4.08 out of 5, among the highest values recorded in the study. Dependence, in this landscape, breeds stewardship rather than destruction.

The model’s fit statistics lend the findings credibility. The comparative fit index reached 0.935 and the Tucker-Lewis index 0.915, both above conventional thresholds, while the root mean square error of approximation stood at 0.071 and the standardized root mean square residual at 0.05. Confirmatory factor analysis confirmed that all latent variable indicators loaded significantly above 0.5, and reliability checks through Cronbach’s alpha and composite reliability exceeded accepted benchmarks. In plain terms, the statistical machinery linking governance perceptions, satisfaction, and behavior is robust, not a statistical accident.

Beneath the numbers lies a story of land and livelihood under pressure. The Belete-Gera Forest is a recognized biodiversity hotspot and the birthplace of Arabica coffee, yet it faces rapid degradation from coffee plantation investments, resettlement, grazing, and logging. Key informants described how land transfers from the forest to private coffee companies do not serve the interests of forest-dependent communities, and that the jobs created by commercial investors fall far short of replacing the economic benefits families once drew from the wild forest. When access to wild coffee, honey, and traditional spices is cut off, the authors warn, residents may be pushed toward over-extracting what remains, a feedback loop in which inequitable governance actively accelerates deforestation.

Ethiopia has not lacked for policy ambition. The country has rolled out the Ethiopian Forestry Action Plan, successive forest policies in 1997 and 2007, Participatory Forest Management, the Climate Resilient Green Economy strategy, and the mass-tree-planting Green Legacy initiative. Yet the study confirms what earlier research has suggested: a persistent gap between policy design and local implementation, marked by inequitable benefit sharing, elite capture of decision-making, weak institutional capacity, and chronic underfunding of monitoring. Local forest committees exist and even track illegal activity, but financial constraints and poor coordination among actors hobble their effectiveness. Previous assessments of Ethiopian forest governance relied heavily on the views of forestry experts and committee members, people with an incentive to present favorable pictures; this study’s insistence on hearing directly from ordinary forest dwellers, and from women in particular, is what exposes the gap.

The implications reach far beyond one Ethiopian landscape. If satisfaction, born of fair and transparent governance, is the bridge between institutions and conservation action, then the cheapest and most effective conservation investment may not be fences or fines but inclusive decision-making, honest benefit-sharing mechanisms, and genuine power for women and youth. The authors recommend that stakeholders strengthen local governance, promote sustainable resource use, track forest revenues transparently, and design livelihood strategies that keep communities invested in the forest’s survival. In the birthplace of coffee, the message is as simple as it is urgent: people will fight for a forest that they believe belongs, in every sense, to them.

Subject of Research: Community perceptions of forest governance effectiveness and their influence on conservation behavior in southwest Ethiopia

Article Title: Community Perspectives on Effectiveness of Forest Governance and Conservation Behavior in Southwest Ethiopia: A Structural Equation Modelling and Qualitative Insights Approach

Article References: Jebessa, G. M., Bekele, A. E., & Tolera, T. (2026). Community Perspectives on Effectiveness of Forest Governance and Conservation Behavior in Southwest Ethiopia: A Structural Equation Modelling and Qualitative Insights Approach. Environmental Management, 76(9), Article 297. https://doi.org/10.1007/s00267-026-02611-0

Image Credits: AI Generated

DOI: 10.1007/s00267-026-02611-0

Keywords: forest governance, Ethiopia, Belete-Gera Forest, conservation behavior, structural equation modeling, community satisfaction, participatory forest management, gender gap, Arabica coffee, deforestation, social-ecological systems, non-timber forest products

The research team, led by postdoctoral researcher Xinyi Zhao of the Center for Adaptive Rationality at the Max Planck Institute for Human Development, together with colleagues, undertook what the authors describe as the first global longitudinal analysis of when gender differences emerge over the course of academic careers in psychology. Rather than examining a single country or institution, the team traced the publication histories of 78,216 psychologists worldwide who began their academic careers between 2000 and 2014. The data were drawn from the Scopus database, one of the largest bibliographic repositories in existence, which allowed the researchers to follow individual career trajectories across borders, institutions, and decades. Scientific publication activity served as the indicator of an active research career: a researcher who had not published any scientific work for at least five years was considered to have left active research.

The scale of the dataset matters, because attrition from academia is a slow, diffuse process that is easy to miss in cross-sectional snapshots. By tracking cohorts over time, the researchers could pinpoint exactly when the gender gap opens. Their answer: the largest differences appear between the fourth and sixth year after a researcher’s first scientific publication. This is a period during which the risk of leaving research rises substantially for everyone, as the initial excitement of a doctoral project gives way to the pressures of establishing an independent profile. But the rise is sharper for women than for men. The gender gap in attrition is most pronounced about five years after the start of a research career, precisely the window in which many researchers are finishing doctorates, moving between institutions on short-term contracts, and competing for their first permanent positions.

The cumulative effect of this early divergence is stark. By the thirteenth year of their careers, around half of the female researchers in the sample had stopped publishing altogether. Among men, that same halfway point of attrition was not reached until roughly five years later. In other words, even in a discipline where women form the majority of those entering, men sustain active research careers for meaningfully longer on average. This pattern helps explain a puzzle that has persisted for years: women are well represented among doctoral candidates and postdoctoral researchers in psychology, yet remain significantly underrepresented in professorships and other senior positions. The bottleneck, the study suggests, is not at the door of academia but inside it.

Lead author Xinyi Zhao framed the motivation for the work in terms of this paradox. In psychology, she noted, women are well represented among doctoral candidates and postdoctoral researchers, but far fewer reach the highest career levels. The team wanted to understand when women are more likely to leave academia and which factors are associated with this pattern. That framing is important, because much of the public debate about gender in science has concentrated on access—on pipelines, admissions, and the so-called leaky pipeline metaphor. The new findings redirect attention to retention, arguing that the bigger hurdle appears not to be entering academia but staying in it.

To probe possible causes, the researchers went beyond simple headcounts and modeled a range of factors that might plausibly influence whether a researcher stays active. These included publication output, citations, collaboration networks, and institutional characteristics such as the scientific reputation of a researcher’s institution. The strongest predictor of long-term retention turned out to be early publication output. In particular, a high number of first-authored papers—publications for which a researcher carries primary responsibility—was associated with a higher likelihood of remaining scientifically active over the long term. In later career stages, the number of last-authored papers, which conventionally signals scientific independence and leadership responsibility, became the more important indicator. Collaboration networks and institutional conditions were also associated with retention, but these relationships were considerably smaller than the effect of authorship patterns.

Crucially, however, none of these measured factors fully accounted for the gender difference. Even after publication output, citations, networks, and institutional prestige were taken into account, women remained more likely than men to leave research, and the difference was especially pronounced during the early years of academic careers. This residual gap is the study’s most consequential finding, because it rules out the simplest explanations. If women were leaving simply because they published less or worked at less prestigious institutions, controlling for those variables would have erased the difference. It did not. Something not captured in bibliographic data is shaping who stays and who goes.

Zhao was careful to caution against misreading the results. The findings, she emphasized, should not be interpreted as reflecting differences in scientific potential. Rather, they suggest that structural conditions and challenges during certain stages of life influence the career paths of female and male researchers differently. The publication-based analysis cannot, on its own, establish why women are more likely to leave. Information on starting a family, caregiving responsibilities, or individual career decisions was simply not available in the Scopus-derived data. The authors are explicit about this limitation, and it shapes how the findings should be understood: the study maps when attrition happens and what career-level factors correlate with it, but the underlying mechanisms require other kinds of evidence.

Some of that evidence comes from a companion study led by Zhao, published in Higher Education, which surveyed more than 8,000 researchers with children from 119 countries. Its results point toward one plausible mechanism: early parenthood is associated with greater career disruption for women than for men. Women in the survey were more likely to postpone starting a family until after completing their PhD. When parenthood did occur during the doctoral phase, their chances of completing a doctorate, achieving high scientific visibility, and remaining in research over the long term were lower than for men in comparable situations. Zhao described the two studies as complementary: the current work shows when women are more likely to leave research, while the survey findings suggest that the challenges of balancing an academic career with starting a family may be an important part of the explanation.

The research team concludes that science policy should place greater emphasis on the early career phase, the very window—roughly years four to six—where the gender gap in attrition is widest. Mentoring programs, transparent evaluation procedures, and better conditions for balancing research and family responsibilities could, the authors argue, help retain more women in academia over the long term. The findings also draw attention to a previously underexamined aspect of gender equality in academia: while discussions often focus on women’s access to academic careers, the decisive barriers may emerge later, once researchers are already inside the system. The team plans follow-up studies that will survey scientists around the world directly, asking about their career decisions and experiences, in order to move from mapping the attrition gap to understanding it from the perspective of those who leave. For a discipline that studies human behavior and prides itself on evidence-based practice, the message of its own career data is difficult to ignore: the pipeline is not leaking at the entrance, but midway through, and fixing it will require addressing the structural conditions of early academic life rather than only the question of who gets in.

Subject of Research: Gender differences in attrition from academic psychology careers

Article Title: Women leave psychological research more often than men

Article References: Women leave psychological research more often than men. (n.d.). Original publication

Image Credits: AI Generated

DOI: Not provided

Keywords: psychology, gender gap, academic careers, attrition, Max Planck Institute for Human Development, publication output, early career researchers, parenthood, retention, bibliometrics, American Psychologist, science policy

The research team, led by Natália Santos Marques and Francisco Pablo Huascar Aragão Pinheiro of the Federal University of Ceará, drew on an unusual national asset: the Lattes platform, a government-maintained curriculum database that virtually every Brazilian academic keeps updated because it is consulted in hiring, admissions, promotion, and grant competitions. Between January and February 2025, the researchers retrieved the curricula of permanent faculty affiliated with every psychology graduate program listed in the federal Graduate Studies Observatory. After removing duplicates and accounting for a handful of unreadable files, they assembled records for 1,482 unique faculty members, a sample closely matching official figures from the Coordination for the Improvement of Higher Education Personnel, known as CAPES.

Rather than simply counting publications, the team built a quality-weighted score for each researcher. Every journal article on a curriculum was assigned points according to the Qualis ranking system, CAPES’s bibliometric classification of journals within each field. In psychology, an article in an A1 journal, the highest tier reserved for outlets at or above the 87.5th percentile of citation performance, earned 100 points, while the scale descended through A2, A3, A4, and the B categories down to 12.5 points for a B4 journal, with unindexed and C-tier publications earning nothing. A researcher with ten A1 articles would therefore accumulate a score of 1,000. This approach meant the analysis captured not just how much faculty published but where they published, a distinction that matters enormously in a system where program funding and prestige hinge on the quality of intellectual output.

The statistical modeling was deliberately cautious. Because faculty are nested within programs, and because roughly 23 percent of the variance in article scores could be attributed to differences between programs, the team used multilevel models. Diagnostic checks revealed that the raw scores were strongly right-skewed and that relationships between productivity and career length were nonlinear, so the researchers turned to a generalized additive mixed model with a Gamma distribution and a log link, a framework well suited to strictly positive, skewed outcomes. Smoothing splines allowed the model to trace curved relationships: expected scores rise steeply during the first ten to fifteen years of a career, climb more slowly until around twenty to twenty-five years, and then plateau, with a slight downturn after thirty-five to forty years. Supervising doctoral students showed a strongly positive association with productivity up to roughly fifteen to twenty students, while the benefit of master’s supervisions flattened after about twenty-five to thirty.

The headline result confirmed the first hypothesis. Across the full sample, men’s estimated mean article score was 32 percent higher than women’s, a rate ratio of 1.32 with a 95 percent confidence interval of 1.15 to 1.51. Men had published more articles on average, 59.1 versus 46.4, and had accumulated higher quality-weighted scores, averaging 3,463 points compared with 2,833 for women. But the second hypothesis, that this male advantage would hold at every level of the program rating system, failed in an illuminating way. Using pairwise contrasts adjusted for career length and supervision counts, the team found statistically significant male advantages only in programs rated 3, 4, and 5, the lower and middle tiers of the CAPES scale. In programs rated 6 or 7, the elite category recognized for international excellence, and in newly authorized programs that had not yet been evaluated, the gender difference did not reach statistical significance.

The interaction between gender and program rating was itself significant, with the male-female gap in rating-3 programs substantially larger than in higher-rated programs. Among women faculty, estimated scores rose progressively and significantly with each step up the rating ladder, from rating 4 through rating 7, indicating that the most productive women in the sample were clustered in the most prestigious programs. Roughly 63 percent of the faculty were women, a proportion consistent with CAPES’s own report and with the broader demographics of Brazilian psychology, where women constitute about 90 percent of those trained in the discipline yet only 56.6 percent of faculty in higher education. Women are the majority in the profession, yet the productivity penalty they carry is concentrated in specific institutional niches.

Why would the gap vanish at the top? The researchers propose an exploratory explanation centered on career stage and the timing of motherhood. Because age was not directly recorded, they used years since PhD completion as a proxy and found a striking gradient: among women, the mean time since PhD rose monotonically with program rating, from 13.1 years in rating-3 programs to 21.3 and 21.5 years in rating-6 and rating-7 programs respectively. A bootstrap analysis with 5,000 resamples confirmed these differences were statistically significant, with a moderate effect size. In other words, women in elite programs tend to be further along in their careers, potentially beyond the life stages when reproductive labor, the caregiving and domestic work that falls disproportionately on women, most strongly constrains research output.

This interpretation is grounded in well-documented structural realities. Brazilian women spent an average of 9.6 more weekly hours than men on household chores and caregiving in 2022, according to the national statistics institute, and the disparity persisted even among employed individuals. National data also show that the presence of a young child dramatically widens the employment gap between women and men: among adults aged 25 to 54 with no child aged six or younger, 66.2 percent of women were formally employed compared with 82.8 percent of men, but when a young child was present the figures diverged to 56.6 percent and 89.0 percent. Previous Brazilian research has found that among the highest-tier CNPq productivity fellows, men with children published twice as many articles as women with children, while early-career fellows showed no such pregnancy-related penalty. The post-PhD window in which academic careers are consolidated overlaps closely with the decade in which women’s fertility declines most sharply, meaning researchers who choose motherhood often face reductions in publication output that men’s trajectories rarely mirror.

The authors are careful to frame this as a theoretically informed hypothesis rather than a definitive causal account. The study is cross-sectional, lacks direct measures of parenthood, parental leave, or caregiving time, and relies on a binary gender classification inferred from names and gender-marked terms in curricula, a procedure that cannot capture non-binary identities and may misclassify some transgender researchers. CAPES ratings themselves bundle together institutional conditions, including access to grants and collaboration opportunities, that may interact with care responsibilities in ways the current design cannot disentangle. The model’s adjusted R-squared of 0.47 indicates that gender, program rating, and their interaction explain a meaningful share of the variance, but more than half remains unexplained, consistent with the deeply multifactorial nature of academic productivity.

Even with those caveats, the implications are pointed. Gender inequality in Brazilian psychology’s research output is not a uniform ceiling pressing equally on all women; it is a concentrated burden falling on women in lower- and mid-tier programs, many of whom are navigating the career-building years in which decisions about motherhood and the intensive care of young children collide with the demands of establishing a publication record. The authors argue that targeted policies supporting women’s research during these pivotal years, rather than blanket interventions, may be the most effective way to narrow the gap. They also call for longitudinal studies tracking article scores over time, direct tests of the age and fertility hypothesis using administrative data, and qualitative research asking women in mid-rated programs how they perceive inequities and what factors they believe drive them. In a national system where program ratings determine survival, funding, and the right to grant doctoral degrees, understanding exactly where and why the gender gap thrives may prove as important as documenting that it exists at all.

Subject of Research: Gender disparities in research productivity among faculty in Brazilian psychology graduate programs

Article Title: Graduate Program Rating Moderates the Gender Productivity Gap in Brazilian Psychology: A Multilevel Analysis of Research Output

Article References: Marques, N. S., Sales, A. B. S., Ferreira, D. F., Oliveira, M. D. S. C., Teixeira, S. X., Barrozo, F. M. R., Dias, T. A., de Vasconcelos, W. G., & Pinheiro, F. P. H. A. (2026). Graduate Program Rating Moderates the Gender Productivity Gap in Brazilian Psychology: A Multilevel Analysis of Research Output. Trends in Psychology, 34(1), 394-414. https://doi.org/10.1007/s43076-025-00512-5

Image Credits: AI Generated

DOI: 10.1007/s43076-025-00512-5

Keywords: gender gap, research productivity, Brazilian psychology, graduate programs, CAPES, Qualis, Lattes platform, multilevel modeling, motherhood penalty, academic careers, scientometrics, higher education

The review was deliberately broad in scope. Rather than a narrow systematic review focused on a single population or intervention, the authors employed PRISMA-ScR guidelines to capture the breadth and diversity of evidence across three continents. Starting from 1,387 records identified in Scopus, Web of Science, and Google Scholar, the team screened out 81 non-English documents, 775 conference papers, books, theses, and other ineligible formats, and 439 irrelevant or inaccessible studies, ultimately retaining 92 sources: 77 original journal articles, 7 review articles, and 8 official reports. Fifty-eight studies were quantitative, 22 qualitative, 4 mixed-methods, and 8 were official reports. Geographically, Asia contributed 30 studies, Africa 27, South America 9, with the remainder drawn from Europe, North America, Australia, and global datasets. The authors note that roughly 83% of the included literature appeared between 2020 and 2024, signaling rapidly accelerating scholarly interest in digital adoption as a development lever aligned with the 2030 Sustainable Development Goals.

To organize this heterogeneous evidence, the researchers combined two established theoretical engines. The Unified Theory of Acceptance and Use of Technology, in its consumer-focused UTAUT2 extension, explains adoption through performance expectancy, effort expectancy, social influence, and facilitating conditions, while the Sustainable Livelihood Framework describes how households mobilize physical, social, financial, human, and natural capital to pursue livelihood strategies. Gender was modeled as a mediating factor, drawing on Naila Kabeer’s empowerment framework—resources, agency, and achievements—and on Kimberlé Crenshaw’s theory of intersectionality, which highlights that benefits and burdens from technology are not distributed uniformly across populations. Together, these lenses allowed the review to connect the micro-level decision to buy a phone with macro-level outcomes such as income diversification and multidimensional poverty.

The headline finding is a starkly divided digital geography. As of 2023, only Africa and the Arab states still relied predominantly on 3G networks while other regions had moved to 4G and 5G. Africa has the lowest mobile phone adoption rate at 63%, meaning 37% of its population remains without a handset, followed by South America at 72%. Mobile internet penetration shows the same pattern: only about 37% of Africans use mobile internet, compared with 65% in South America, while fewer than 10% of Europeans lack access to either. Perhaps most telling is the gap between phone ownership and actual internet use—26 percentage points in Africa, versus 7 in South America and 9 in Asia—a divide the authors attribute to weak 4G and 5G infrastructure that keeps users tethered to basic phones and constitutes a second-level digital divide. Rural-urban disparities compound the problem: the ratio of urban to rural mobile internet use stands at 2.5 in Africa, 1.5 in the Asia-Pacific region, 1.22 in the Americas, and just 1.04 in Europe, meaning African rural users face the widest connectivity chasm in the Global South.

Gender emerges as one of the review’s most consequential threads. The gender gap in mobile ownership is 15% in South Asia, 13% in Africa excluding North Africa, and a strikingly low 1% in South America. In mobile internet use, South Asia narrowed its gender gap from 41% in 2017 to 31% in 2023, largely credited to initiatives in India improving women’s online access, while Sub-Saharan Africa’s gap barely budged, sliding only from 34% to 32% over the same period. The evidence goes deeper than statistics: married women show significantly lower adoption and use of mobile devices than married men, and women are more likely than men to depend on borrowing someone else’s phone to access information—a pattern the authors link to patriarchal control over resources and the confinement of women to unpaid household labor. Expanding women’s access, they argue, would rebalance household bargaining power, expand skills and social networks, and open employment pathways, making gender-sensitive digital inclusion a central poverty intervention rather than a peripheral concern.

Along agricultural value chains, the review documents how phones function as production and marketing infrastructure. In Tanzania’s pastoral communities, mobile phones facilitated communication vital for cattle farming; in South Africa, they gave smallholders access to extension advice, money transfers, pasture management tips, weather updates, and input application guidance; in China, farmers used mobile apps for farm management, market information, and extension training that boosted production and income. Yet intensity of use varies enormously between and within countries. Farmers in China, India, Kenya, and South Africa deploy advanced applications for production and marketing, while counterparts in Ethiopia and Peru primarily use phones for calls and messaging. Large-scale farmers consistently out-adopt smallholders in advanced applications, a gap the review attributes to digital skill deficits, affordability constraints, language barriers, and patchy network coverage. Intermediaries remain another bottleneck: rural African phone owners still depend heavily on middlemen who compress profit margins, whereas Asian e-commerce systems increasingly connect producers directly to consumers, and Latin American farmers have used phones to raise incomes by trimming transaction chains.

Financial inclusion is where Africa leads the world. Sub-Saharan Africa registers the highest mobile money adoption of any region, and the evidence reviewed shows measurable welfare consequences. In Kenya, digital financial services have improved rural poor livelihoods, raised per capita incomes, and lifted households out of poverty; classic research on Kenya’s mobile money revolution found it significantly enhanced households’ ability to share risk by slashing transaction costs, while other studies document its role in remittance flows across domestic and international borders. Comparative assessments rank mobile money as easier, safer, more trustworthy, more convenient, faster, and cheaper than traditional banking, and its reach into unbanked rural communities is credited with stimulating economic participation. By contrast, mobile money remains underutilized in Asia and especially South America, depriving marginal populations in infrastructure-poor areas of a proven tool—an asymmetry the review urges policymakers to correct through targeted promotion.

The poverty picture, however, is not uniformly rosy, and the review is candid about the reversals. Studies in selected Sub-Saharan African countries found that internet-enabled mobile phones were associated with increased poverty, and some economists argue that ICT-driven sectors reward skilled workers while trapping less-skilled laborers in low-paid jobs, deepening income inequality. Household budgets can suffer too, as communication expenditures divert money from food and necessities, and some research even links expanding phone coverage to increased violent conflict. On the livelihood side, phones open new economic opportunities, reduce risk exposure, lower transaction costs, and connect farmers to end users in India, South America, and beyond, but poor network coverage, unreliable electricity, low digital literacy, and constrained incomes blunt these gains, particularly in rural areas where over half of Africa’s population lives.

The authors’ conclusions amount to a policy agenda calibrated by region. For Sub-Saharan Africa, they prioritize expanding digital infrastructure, deepening mobile-based agricultural extension, building digital skills, and dismantling the affordability and gender barriers that keep women and smallholders offline. In South America, where empirical evidence remains thin and largely limited to English-language literature, they call for research and funding on mobile money and e-commerce adoption among women, low-income, and rural households. In Asia, attention should turn to gender-based and socioeconomic inequalities in access and to rural entrepreneurship. Across all three regions, they recommend regulatory support, targeted subsidies for underserved groups, digital platforms matched to local skill profiles, awareness campaigns, and electricity expansion. Their closing warning is stark: unless developing countries act decisively to close the mobile divide now, each new wave of technology will only widen the gap between individuals, businesses, countries, and continents.

Subject of Research: Mobile-based digital technology adoption, gender, livelihood diversification, and poverty reduction in the Global South

Article Title: Mobile-based digital technology adoption, gender, livelihood diversification, and poverty reduction in the Global South: a scoping review

Article References: Bule, D. L., Ntuli, H., Wale, E., & Nketiah, P. (2026). Mobile-based digital technology adoption, gender, livelihood diversification, and poverty reduction in the Global South: a scoping review. SN Social Sciences, 6(10), Article 459. https://doi.org/10.1007/s43545-026-01749-2

Image Credits: AI Generated

DOI: 10.1007/s43545-026-01749-2

Keywords: mobile technology adoption, digital divide, Global South, poverty reduction, livelihood diversification, gender gap, mobile money, e-commerce, smallholder farmers, digital infrastructure, financial inclusion, scoping review

The central object of the new framework is the Mahalanobis Country Gender Homogeneity Index, or MCGHI. Instead of averaging national scores, the index measures the distance between the gender equality profiles of EU Member States, where each profile is a vector whose components describe the country’s position on the different dimensions of the Gender Equality Index. The key methodological choice is the distance function itself. The authors adopt the classical Mahalanobis distance, first proposed by the Indian statistician P. C. Mahalanobis in 1936, which weights differences between profiles through a positive definite matrix Sigma. This matrix encodes not only the dispersion of each dimension but also the statistical relationships among dimensions, allowing the index to distinguish, for example, between a gap in knowledge and a correlated combination of gaps in knowledge and money.

This structure gives the MCGHI a set of formal properties that the authors prove in detail. The index satisfies uniformity and country anonymity for any positive definite metric matrix, meaning that the measurement rules apply identically to every country and do not depend on national labels. Dimensional neutrality holds whenever the metric matrix is invariant under permutations of the dimensions; a particularly important special case arises when Sigma is a scalar multiple of the identity matrix, which treats all dimensions symmetrically and identically scales their variability. The index is also invariant under positive affine transformations of the data, provided the metric matrix is transformed consistently, so results do not change if dimensions are rescaled or shifted. In plain terms, the tool is robust to arbitrary units and conventions, which is essential when comparing indicators as heterogeneous as income, political representation and health outcomes.

The choice of Sigma is not innocuous, and the authors make its role explicit rather than burying it. Different specifications can account for scaling, for domain-specific dispersion and for cross-domain dependence among the six core domains and their underlying sub-domains of the Gender Equality Index. Because the empirical covariance structure of gender equality data changes over time and across specifications, the researchers treat the metric matrix as a family of alternatives to be tested, running the analysis under several plausible versions of Sigma and reporting how conclusions respond. This sensitivity discipline reflects a broader methodological literature on composite indicators, which has long warned that weighting and aggregation choices can drive rankings as much as the underlying data do. The MCGHI takes the opposite path from composite aggregation: it refuses to collapse the profile at all, and instead compares whole profiles directly.

The empirical application turns to data from the Gender Equality Index published by the European Institute for Gender Equality, which is publicly available and covers the EU Member States. Using national profiles from 2013 through 2024, the authors track the homogeneity of gender equality across the Union, asking whether countries have grown more alike or more distinct over the decade. The headline finding is a long-run increase in gender equality homogeneity between 2013 and 2024: by the distance-based measure, EU nations’ gender equality profiles have, on average, converged. The result echoes earlier European Commission analyses reporting upward convergence in gender equality, but it arrives through a fundamentally different measurement route, one that preserves the multidimensional composition of each country’s profile rather than compressing it into a single score first.

Yet the study is equally candid about the limits of that finding. The continuity, timing and magnitude of the homogeneity trend depend on the metric assumptions embedded in Sigma. When dimensions are scaled symmetrically, convergence appears one way; when domain-specific dispersion or cross-domain correlations are taken into account, the shape of the convergence path changes. Some sub-periods show steadier movement than others, and the timing of shifts in homogeneity is not invariant across metric choices. The authors do not present this as a weakness to be hidden but as the honest price of measuring a genuinely multidimensional phenomenon. The practical lesson for policymakers is that claims about convergence should be read alongside the assumptions that produced them, and the MCGHI is designed to make those assumptions visible and testable.

The distinction between level and homogeneity is more than a technical nuance, because the two can move in opposite directions. It is entirely possible for average gender equality across the EU to rise while the spread of national profiles widens, or for profiles to converge at a mediocre level rather than a high one. The overall Gender Equality Index score answers the first question, about levels, but is largely silent on the second, about structural similarity. By complementing rather than replacing the composite score, the new index allows analysts to detect whether progress is happening in a uniform European pattern or whether national gender regimes are pursuing distinct trajectories that happen to yield similar totals. That distinction matters for policy design, since uniform convergence suggests the possibility of EU-wide benchmarking, while persistent heterogeneity argues for differentiated national strategies.

The methodological lineage of the paper is broad. The authors build on the Mahalanobis distance tradition, including earlier work by González-Arteaga, Alcantud and de Andrés Calle that used the same distance in a cardinal dissensus measure, and they engage the substantial literature on composite indicators, from the OECD and European Commission Joint Research Centre handbook to multicriteria approaches and critiques of the Gender Equality Index itself. Scholars such as Permanyer and, more recently, Schmid and Elliot have argued that the EU index conflates corrected gender gaps with achievement levels, a debate that underscores how contested the definition of gender equality measurement remains. The homogeneity index sidesteps part of that controversy by measuring similarity of profiles without asserting what any single country’s score should be, though it inherits the dependence on however EIGE constructs the underlying dimensions.

The timing is significant. The 2024 edition of the Gender Equality Index, titled Sustaining Momentum on a Fragile Path, described progress that is real but uneven, and the 2025 edition promised sharper data for a changing world. Within that context, a tool that quantifies how tightly the Union’s gender equality landscape is knit together offers a new lens on the EU’s stated goal of a Union of Equality. If the 2013 to 2024 trend toward homogeneity continues, future editions of the index could document an increasingly uniform European gender regime; if metric-sensitive reversals appear, they may flag domains where convergence is stalling or where countries are drifting apart. The framework is general enough to be applied beyond the EU wherever multidimensional gender data exist, and the authors’ formal results on permutation invariance and affine robustness make it portable across indicator systems with different dimensional orders and scales.

What the study ultimately delivers is a change of question. Rather than asking which country is most gender equal, it asks how alike the family of European countries has become in the shape of its gender equality achievements, and it answers with a distance measure whose every assumption is stated, varied and stress-tested. The finding of a long-run increase in homogeneity across the EU between 2013 and 2024 is a cautiously optimistic signal that a decade of policy attention has drawn Member States closer together. But the paper’s deeper contribution is methodological: a demonstration that multidimensional social measurement can retain its full structure, respect formal fairness axioms, and remain honest about the metrics that shape its conclusions. For a Union that stakes its credibility on data-driven decision-making, that combination of rigor and transparency may prove as consequential as the headline result itself.

Subject of Research: A distance-based gender equality homogeneity index applied to European Union data

Article Title: A Distance-Based Gender Equality Homogeneity Index: Application to European Union Data

Article References: Pérez-Asurmendi, P., & de Andrés Calle, R. (2026). A Distance-Based Gender Equality Homogeneity Index: Application to European Union Data. Social Indicators Research, 184(3), Article 46. https://doi.org/10.1007/s11205-026-03937-2

Image Credits: AI Generated

DOI: 10.1007/s11205-026-03937-2

Keywords: gender equality, European Union, Mahalanobis distance, Gender Equality Index, composite indicators, social indicators, convergence, multidimensional measurement, gender gap, homogeneity index, data-driven decision-making, Distance-Based