The 2004 reform shortened the payment period while linking parental benefits to the recipient’s previous income. In general, this meant that the benefit was intended to compensate for the earnings of the parent staying home with a child. Parents who had their next child within 30 months of the previous child’s birth could retain the benefit rate they had received before that earlier birth.

Parents who had previously been unemployed began receiving benefits close to the minimum wage, providing some households with additional income. Abdullayev used Estonian national registers and composite statistical models to assess two outcomes: whether a family had a subsequent child and the time between births. According to the thesis, it was the first study to use composite models to distinguish those outcomes when analyzing the effects of family-policy measures.

The work was observational rather than experimental, so its results identify associations between the reform and changes in fertility behavior rather than establishing causation through random assignment. This distinction was important when interpreting the use of shared parental leave. Income was the strongest factor predicting which parent applied for shared parental benefits.

The more a father earned relative to the child’s mother, the more likely he was to claim the benefit. However, benefit receipt did not necessarily mean that the father stopped working or became the primary caregiver. Estonian family policy allowed parents to continue working while receiving parental benefits, and approximately 70% of fathers who received the benefit worked at least part-time during their leave to increase their household’s total income.

In this context, the father’s application for benefits was primarily associated with a financial decision rather than a demonstrable transfer of primary childcare responsibility. The father’s use of paternity leave was associated with a higher probability of having a third child and with a shorter interval before that birth. The association was particularly clear in families where the mother returned to paid employment while the father received paternity benefits.

The thesis concluded that a generous, income-related allowance paid over a sufficiently long period may increase the likelihood of another child, indicating that Estonia’s reform met one of its main fertility-policy objectives. At the same time, the study showed that assessing family policy requires more than identifying which parent receives support: evaluations must distinguish benefit receipt from work patterns and examine how childcare is actually shared between parents. The research therefore linked the reform to higher subsequent-birth probabilities and shorter birth intervals while showing that fathers’ use of the benefit did not, by itself, establish that they were providing most day-to-day childcare.

Subject of Research: Effects of Estonia’s 2004 parental benefit reform on subsequent births and shared parental leave

Article Title: Parental benefit encouraged people to have children in Estonia, but fathers mainly applied for financial reasons

Article References: Parental benefit encouraged people to have children in Estonia, but fathers mainly applied for financial reasons. Original publication (Bibliographic details unavailable.)

Image Credits: AI Generated

DOI: Not provided

Keywords: Estonia, parental benefits, parental leave, fertility behavior, family policy, birth intervals, national registers, observational study, gendered caregiving, Parental, benefit, encouraged

Approximately 200 survivors were stranded across a group of isolated islands after the ship struck reefs. Senior officers had sailed to present-day Jakarta to seek rescue, leaving Cornelisz, then an under-merchant employed by the company, as the most senior corporate figure among those remaining. According to the study, he consolidated power by replacing council members with loyal supporters, requiring personal oaths of allegiance and isolating potential opponents. The historical analysis maps these actions to corporate-psychopathy characteristics including the use of charm to gain trust, surrounding oneself with loyal supporters, removing challengers, creating divisions among rivals, establishing a climate of fear and avoiding responsibility when events go wrong. It also finds that his conduct reflected a priority of power, money and control.

Under Cornelisz’s leadership, around 100 men, women and children were murdered, and some women were subjected to sexual violence. He justified the killings as a means of conserving food and water, but the study also states that the murders removed people he perceived as rivals. The case study draws a sharp comparison with a group of survivors stranded on another island under Wiebbe Hayes. Hayes organized searches for water and food that found two freshwater wells, seabird eggs, fish, wallabies and seals. One follower reportedly described the resulting supply as sufficient for the survivors for a “thousand years.” The authors characterize the contrasting circumstances as a natural experiment in leadership: the group under Hayes developed cooperation and discovered resources, while the group under Cornelisz descended into murder and abuse. It was not a randomized experiment or a controlled evaluation, and the comparison involves one pair of leadership groups under extraordinary disaster conditions.

The study situates the episode within the emergence of shareholder capitalism. The Dutch East India Company was founded in 1602 as the world’s first multinational shareholder-owned company and established what became one of the world’s first stock exchanges in Amsterdam. Cornelisz’s case is presented as evidence that people driven by power, wealth and personal advancement may have been attracted to commercial enterprises from the earliest days of capitalist business. More broadly, the paper argues that corporate psychopathy remains a challenge for modern organizations and links psychopathic leadership with workplace bullying, harassment, reduced employee wellbeing, higher staff turnover and organizational failure. Those workplace relationships are discussed in the study and are not outcomes directly demonstrated by the 1629 case. The authors also call for employers to give greater weight to character, ethics and values when selecting senior leaders, presenting the historical comparison as a reason to examine how power, loyalty and responsibility are managed in corporate settings.

Subject of Research: Historical case analysis of corporate psychopathy traits in a Dutch East India Company leader

Article Title: Study identifies world’s first corporate psychopath

Article References: Study identifies world’s first corporate psychopath. Original publication (Bibliographic details unavailable.)

Image Credits: AI Generated

DOI: Not provided

Keywords: corporate psychopathy, psychopathic leadership, Jeronimus Cornelisz, Dutch East India Company, Batavia shipwreck, historical case study, shareholder capitalism, business ethics, leadership behavior, management framework, identifies, world

The study examined mother–child survey data collected from 1990 through 1996. During this period, policymakers expanded the EITC, which provides larger tax credits to households as earned income rises, to improve financial support for low-income families without weakening incentives to work. The credit change was expected to increase employment among eligible recipients, with particularly strong work incentives for single mothers. In the analysis, greater maternal employment was associated with changes in children’s test performance and development relative to the trends observed among children of married mothers.

After the EITC expansion, the combined mathematics and reading scores of single mothers’ children were estimated to fall by 0.14 standard deviations relative to those of married mothers’ children. The researchers also estimated a decline of 0.68 standard deviations in early motor and social development among younger children of single mothers. That second estimate was based on a smaller sample and should therefore be interpreted with caution. Together, the findings indicate that some developmental outcomes may have weakened among children in the group most affected by the policy’s stronger employment incentives, although the study does not establish that the EITC expansion caused every measured difference.

The analysis linked the developmental changes to changes in the home environment accompanying increased employment. Children of single mothers reportedly received less cognitive stimulation at home and had fewer time-intensive interactions with their caregivers than children of married mothers. The authors suggested that reduced caregiver–child connection may have contributed to the observed declines. In other words, the additional income and employment encouraged by the tax credit did not necessarily translate into developmental gains when increased time in paid work coincided with reduced parental attention or stimulation. The findings concern short-term developmental measures and do not show how the children fared later.

Study author Jeehyun Ko, PhD, of the Korea Institute of Public Finance, said that for low-income single mothers, reduced time with their children as work increased may have outweighed the developmental benefits of higher income in the short term. Ko said pairing work incentives with affordable, high-quality childcare could help families balance employment and time with their children. The result should not be interpreted as evidence against the EITC’s broader goals, including financial support and work incentives. Instead, it identifies a possible trade-off between labor-force participation, household income and children’s access to intensive parental interaction during the years covered by the analysis. Because the study relies on observational survey data and includes a smaller sample for one developmental outcome, additional research would be needed to assess the robustness and wider consequences of the estimates.

Subject of Research: Effects of the Earned Income Tax Credit expansion on child development

Article Title: Has a US anti-poverty program negatively affected some children’s development?

Article References: Has a US anti-poverty program negatively affected some children’s development?. Original publication (Bibliographic details unavailable.)

Image Credits: AI Generated

DOI: Not provided

Keywords: Earned Income Tax Credit, child development, single mothers, maternal employment, test scores, cognitive stimulation, US welfare reform, public policy, anti-poverty, program, negatively, affected

Over five months, from February to July 2026, the team searched for TikTok accounts aimed at UK users and displaying a drug-related cue together with an offer or route to supply. The researchers selected 455 accounts that met those criteria, including accounts referring to cocaine, synthetic cannabinoids commonly known as spice, and controlled medicines. Accounts qualified only when they combined evidence of drug-related content with UK targeting and an apparent supply route. This screening process meant that the study focused on content that the authors argue represented a relatively straightforward test of TikTok’s reactive reporting pathway, although the protocol involved researcher identification of accounts rather than a representative sample randomly drawn from the platform.

For each account, the researchers used TikTok’s ordinary in-app reporting function, recording the platform’s response and subsequently checking whether the account remained accessible. The “no violation” outcome accounted for 95.2% of reports, while 83.5% of accounts were still publicly accessible 14 days later. The researchers reported the same pattern across different drug categories and forms of promotion. They also observed that most changes in accessibility occurred within the first two days, with limited removal thereafter. Every decision classified as “no violation” was returned exactly 30.5 minutes after the report, and accounts that survived that initial interval were unlikely to be removed later.

TikTok’s Community Guidelines prohibit the trade, marketing, and promotion of illegal drugs. The study also examined the policy context created by the Online Safety Act 2023, which classifies drug-supply offences as priority offences. Since 17 March 2025, regulated user-to-user services have been required to take proportionate measures to prevent users from encountering priority illegal content and to maintain systems intended to minimise how long such content remains available and remove it swiftly once the service becomes aware of it. Supplying or offering to supply a controlled drug is also a criminal offence under the Misuse of Drugs Act 1971. The audit did not, however, determine whether TikTok’s conduct constituted legal non-compliance; its results instead raise questions about the effectiveness of the systems and processes platforms operate in response to direct user reports.

Study leader Chris Pudney, a professor in Bath’s Department of Life Sciences, said the results expose a weakness in the reactive reporting pathway tested. “This is a straightforward test of a reporting system,” he said. “These were accounts we identified because they displayed drug-related cues, targeted UK users and contained an explicit offer or route to supply. Yet 95% of our reports came back ‘no violation’.” He contrasted those outcomes with platforms’ published proactive-removal statistics, arguing that high numbers of automatic removals do not show whether a service responds when a member of the public points to apparent criminal activity. “Our findings show a serious weakness in the reactive reporting pathway we tested,” Pudney said.

The study’s focus on ordinary reporting is important because it addressed a different question from the one answered by aggregate enforcement figures. TikTok reports removing large quantities of violating content through its own proactive moderation systems, but the Bath-led experiment asked what occurred after a user submitted a specific report using the tool available to any member of the public. The researchers said their findings should not be interpreted as showing that every instance of drug-selling content escapes detection. Nor was the experiment designed to estimate the prevalence of illegal drug offers across TikTok. Instead, it assessed the platform’s documented or practical response to a set of visibly suspicious accounts submitted through the user-reporting channel.

Automation may have formed part of that response, although the researchers could not determine whether individual decisions were made by automated systems, human moderators, or a combination of both. Pudney noted that the identical 30.5-minute timing for every “no violation” response suggests that at least some automation was likely to be involved. The team did not test the internal operation of TikTok’s moderation systems, and it could not establish the reasons for particular decisions. The five-month observation window and 14-day follow-up do show that, among the selected accounts, later removal was uncommon once the early stage had passed. The design therefore offers evidence about real-world performance under a defined protocol, rather than a complete account of the platform’s enforcement activity or technical architecture.

The research team said the ease with which qualifying accounts could be found was another concern, while stopping short of estimating platform-wide prevalence. Hundreds of eligible accounts were identified through ordinary searches using widely known drug-related terms and sales-related language. Because the sample was assembled through researcher searches and then tested through reports, the results do not provide a denominator for all UK-facing drug-selling accounts, nor do they show how many similar accounts existed outside the sample. The study can establish that the tested reporting pathway returned “no violation” for most submitted reports and that most sampled accounts remained accessible after two weeks. It cannot establish the total volume of drug-selling content, the proportion of all prohibited content that remains online, or whether the pattern holds across other platforms, offences, jurisdictions, or reporting methods.

Pudney said the findings raise an obvious question for Ofcom about whether the systems platforms have in place work effectively in practice when users report suspected illegal content. “The Online Safety Act treats offering illegal drugs for sale as a priority offence,” he said. “These findings do not by themselves establish legal non-compliance, but they do raise an obvious question for Ofcom: are the systems and processes platforms have in place actually effective when users report this kind of content?” He and the team are calling for independent, offence-specific audits to evaluate platform responses. Such audits, they argue, should examine what happens after direct reports rather than relying only on platform-generated summaries of proactive removals. The peer-reviewed study, “A prospective audit of TikTok’s response to UK drug-selling accounts,” is scheduled for publication in the International Journal of Drug Policy on 2 November 2026.

Subject of Research: An audit of TikTok’s user-reporting responses to UK-facing accounts advertising and offering illegal drugs for sale.

Article Title: TikTok returns ‘no violation’ decision on 95% of reports of UK-facing accounts advertising drugs, study finds

Article References: TikTok returns ‘no violation’ decision on 95% of reports of UK-facing accounts advertising drugs, study finds. Original publication (Bibliographic details unavailable.)

Image Credits: AI Generated

DOI: Not provided

Keywords: TikTok, drug selling, Online Safety Act, content moderation, user reports, platform enforcement, UK regulation, illegal drugs, Ofcom, social media, returns, violation

The publication surge documented by the authors comes from a scientometric study of 36 health datasets by Spick, Onoja and colleagues. The analysis searched OpenAlex on 3 January 2026 for article records dated from 2014 through 2025, using dataset terms in titles or abstracts, and used publication counts from 2014 through 2022 to establish a forecasting baseline. A 2025 count above the forecast’s 95% confidence interval was classified as unusual growth. Nine datasets met that criterion and generated 23,005 indexed publications in 2025. An autoregressive integrated moving average model estimated 11,577 more publications than the prior trend would predict, compared with 7,655 publications in 2022. These figures describe publication volume, however, and do not establish that any of the additional papers were unreliable or methodologically weak.

The correspondence uses National Health and Nutrition Examination Survey, or NHANES, as an illustrative example of a longstanding public resource. NHANES combines interviews, physical examinations and laboratory measurements under a complex probability-sampling design and has supported national health estimates for decades. Its guidance emphasizes decisions that are specific to the survey cycles used, including appropriate weighting and variance estimation. The surge in publications arose long after the survey architecture and its documentation were established. In the authors’ interpretation, that timing points toward changes in the environment in which research is produced rather than a deterioration in the resource itself. As the correspondence puts it, a dataset can support both excellent science and weak science.

Other heavily reused resources present the same issue at different scales. UK Biobank was designed for broad research on disease causes through deep phenotyping, linkage and long-term follow-up, supported by repeat measurements, imaging, genetics and biomarkers. A large publication count is therefore an expected feature of a resource intended for extensive reuse, and the number of papers alone does not measure their quality. The authors note that a strong study can ask a difficult question with a familiar cohort, while a weak study can apply a fashionable method and a novel dataset to an already familiar question. A recognizable name in a title, abstract or methods section can also become an unintended proxy during editorial screening, even though dataset identity reveals little about whether the study design, statistical reasoning and interpretation are sound.

Generative AI is the major development examined in the commentary because it can reduce the time and technical effort required for several stages of secondary-data research. Language models can support coding, drafting and other bounded tasks, and a 2023 evaluation found that ChatGPT could generate plausible scientific abstracts that human reviewers sometimes struggled to distinguish from authentic ones. That result demonstrates the capability of generated text, not that AI necessarily lowers analytical quality or increases publication speed across the wider research literature. A separate analysis of publishing found that papers appearing after 2022 were longer and cited more references, but this temporal pattern does not establish that AI caused any change in quality. The correspondence therefore distinguishes legitimate assistance, where researchers retain scientific control and disclose their use, from more autonomous systems that influence question formulation or analytical planning.

The correspondence describes a plausible pathway to formulaic production when AI-assisted tools are applied to standardized public data. NHANES includes hundreds of variables, repeated survey cycles, familiar outcomes and extensive documentation, allowing researchers to build reusable analytical pipelines. Within such a pipeline, one exposure can be substituted for another, an outcome can be changed, or analyses can be repeated across demographic subgroups. Automated code can test many combinations, while a language model can produce a conventional-looking epidemiological narrative. Because a large dataset permits many possible comparisons, searching across variables may make statistically significant findings easier to identify. The authors characterize this as a plausible risk of automated hypothesis fishing, while emphasizing that the scale of publication-driven AI workflows remains an empirical question rather than an established outcome.

This shift may affect how early-career researchers learn and what incentives surround their work. Public databases once gave trainees an accessible way to develop skills in epidemiology, biostatistics, reproducible coding and scientific writing, and the authors state that they continue to serve that purpose. Generative AI is also changing learning environments, with earlier research identifying both educational potential and a need for supervision. The correspondence’s concern is less about the tools or datasets than about a publication culture that rewards the number of manuscripts generated from a resource. If journals, supervisors and researchers instead emphasize meaningful questions, defensible methods, replication, sensitivity analyses and transparent interpretation, the same databases can remain strong training grounds. The authors describe research culture as the decisive variable.

The commentary proposes three editorial responses. Journals could request a concise dataset-specific methods note for studies using heavily reused resources. For NHANES papers, this could cover cycle selection, weighting and variance estimation; for reused cohorts, it could briefly describe overlap with previous reports. Journals could also strengthen transparency by sharing analysis code and enough metadata to reproduce variable construction where feasible, distinguishing confirmatory analyses registered in advance from exploratory work intended to generate hypotheses, and reporting whether generative AI contributed to question formulation, analytical planning or manuscript preparation. These disclosures would align with International Committee of Medical Journal Editors guidance on AI use and continuing human responsibility, as well as Committee on Publication Ethics recommendations for transparent reporting.

Editorial screening could likewise concentrate on study conduct rather than dataset provenance. Reviewers can assess whether the analytic sample follows from the question, whether the structure of the data was handled correctly, and whether multiple testing and sensitivity analyses were treated appropriately. Similarity tools may help identify highly repetitive submissions, while borderline cases could receive independent methodological review or an editorial appeal. The correspondence presents these as policy suggestions, not interventions already shown to improve research quality. Its authors also emphasize that the same public resources continue to support epidemiology, population surveillance, methods development, replication and policy-relevant work, and that visible AI use is not itself evidence of misconduct. The practical message is a call for proportionate, study-specific evaluation: judge each analysis on its scientific reasoning, and do not infer quality from either the fame of its dataset or the presence of AI in its production.

Subject of Research: Research integrity and generative AI in secondary analysis of public biomedical databases

Article Title: A familiar database name is not a quality label: Correspondence argues that the risk in public database research lies in how science is produced

Article References: A familiar database name is not a quality label: Correspondence argues that the risk in public database research lies in how science is produced. Original publication (Bibliographic details unavailable.)

Image Credits: AI Generated

DOI: Not provided

Keywords: public biomedical databases, generative AI, research integrity, publication trends, NHANES, UK Biobank, scientometrics, editorial screening, methodological rigor, AI disclosure, familiar, database

The reference was developed by a working group under the Biomedical and Health Standards Committee of the Singapore Standards Council. Enterprise Singapore administers the council, while the Duke-NUS Centre of Regulatory Excellence–Standards Development Organisation supported the work. The group included representatives from public healthcare institutions, ethics committees, industry and regulatory bodies. TR 151 explains how ISO 14155:2026, the international standard for good clinical practice in medical device investigations, should be applied when planning and reviewing device studies in Singapore.

Singapore’s existing clinical-trial guidance was largely designed with medicines in mind and offered limited direction on device-specific considerations, according to the announcement. As a result, applications for medical device studies could vary widely in content and depth, leaving innovators without a shared understanding of what ethics committees expected. Inconsistent applications could trigger repeated requests for clarification, imposing particular burdens on start-ups and small and medium-sized enterprises with limited regulatory resources.

TR 151 seeks to address that variability by linking the evidence expected at ethics review to two features of an investigation: the device’s risk class and its stage of development. The stated aim is not to impose identical requirements on every study, but to establish a proportional approach. Study teams can use the reference while planning their evidence, while sponsors and manufacturers can prepare more complete applications. Reviewers gain an internationally informed framework against which to assess submissions.

Fiona Loke, Director of the Medical Technology Office at SingHealth and the working group convener, said the participants sought international best practices and drew on industry, public and private healthcare providers, and experts in regulation and ethics review. “Innovators preparing to undergo an ethics review for their medical device study can now prepare their submissions using a common reference, based on their device’s risk class and study stage,” she said.

Professor John Lim, Executive Director of the Centre of Regulatory Excellence at Duke-NUS Medical School, said the reference consolidates what regulators, ethics committees, clinicians and industry had learned about conducting device studies well. He said TR 151 is applicable from the earliest planning stages and is intended to support trust in clinical evidence generated in Singapore and help innovators bring safe, effective devices to patients with greater confidence.

Lee Suen Ming, Chair of the Biomedical and Health Standards Committee, encouraged the healthcare community to adopt the reference. “Singapore’s medtech ecosystem is producing more homegrown devices that must be tested in patients for the first time. TR 151 provides hospitals, ethics committees and companies with common guidance for conducting these investigations,” he said. He said broader adoption could improve the quality and consistency of submissions while safeguarding participant safety.

The initiative is aimed specifically at investigational medical devices, defined in the announcement as devices that remain experimental for their intended use. It is a procedural standard for preparing and reviewing clinical investigations rather than evidence that any particular device is safe or effective, and the announcement does not report results from patient studies. Its anticipated effects are more predictable ethics review, clearer planning for developers and sponsors, and a more consistent basis for assessing submissions. Both TR 151:2026 and the Singapore adoption of ISO 14155:2026 were made available for purchase through the Singapore Standards eShop.

Subject of Research: A national technical reference for clinical investigations of investigational medical devices in Singapore

Article Title: Singapore launches national reference to guide clinical investigations of medical devices

Article References: Singapore launches national reference to guide clinical investigations of medical devices. Original publication (Bibliographic details unavailable.)

Image Credits: AI Generated

DOI: Not provided

Keywords: medical devices, clinical investigations, ethics review, regulatory standards, ISO 14155, Singapore, risk management, research ethics, healthcare innovation, launches, national, reference

The study, published in the journal Research Policy, analysed personality data from more than 3.2 million Americans across 349 metropolitan regions and tracked it against the early spread of three digital platforms that reshaped everyday life: Airbnb, Uber and Flickr. The result was strikingly consistent. Regions where residents scored higher on psychological openness were reliably more likely to be early adopters of all three innovations, even after the researchers statistically accounted for economic conditions, demographics, infrastructure, social characteristics and geography.

Psychological openness is one of the Big Five personality traits, the broad dimensions that psychologists have used for decades to characterise human temperament alongside conscientiousness, extraversion, agreeableness and neuroticism. Openness captures curiosity, receptiveness to new ideas and experiences, and a willingness to engage with the unfamiliar or unconventional. What the researchers propose is that this trait, aggregated across a population, functions as a kind of invisible social infrastructure. It cannot be photographed the way a highway or a university campus can, yet it may shape how readily an entire community engages with something genuinely new.

What stood out was the consistency of the pattern, says Prof. Tobias Ebert of the University of St Gallen. Psychological openness was the only factor reliably associated with adoption across all of the three innovations studied. In an era when innovation research often chases fragmented, technology-specific explanations, a single psychological variable holding steady across home-sharing, ride-hailing and photo-sharing platforms is a notable finding.

The scale of the regional differences was substantial. The proportion of residents classified as highly open ranged from roughly 21 percent to 48 percent across the metropolitan areas examined. Early adoption varied just as sharply. Cities such as San Francisco, Portland and Austin repeatedly appeared among the strongest adopters, while El Paso, Flint and Jackson ranked among the lowest. These are not marginal differences; they represent dramatically different starting conditions for any company or technology hoping to gain a foothold in a new market.

Why would openness matter so much? The answer may lie in what these early platforms actually demanded of their first users. When Airbnb launched, participants had to be willing to let strangers sleep in their homes. Uber asked people to offer rides in their own cars to unseen passengers. Early social-media platforms such as Flickr depended on people creating and publicly sharing content long before such behaviour was commonplace. In each case, users were not simply buying a new product. They were being asked to adopt unfamiliar behaviours, and in the case of platforms, their participation helped create the service itself.

Someone has to be willing to try a new behaviour before everyone else regards it as normal, says Prof. Martin Obschonka of the Amsterdam Business School at the University of Amsterdam. This can be especially important for platforms, which need enough local users, hosts, drivers or content creators to generate the network effects that make them useful and viable. A ride-hailing app with no drivers is useless; a home-sharing site with no hosts is an empty shell. The earliest adopters are not merely customers but co-builders of the technology, and their psychological profile may determine whether the network effects that sustain a platform ever take hold in a given city.

The findings add a behavioural dimension to how innovation ecosystems are usually understood. Regions seeking to encourage innovation typically focus on infrastructure, investment, universities, entrepreneurs, skilled workers and access to capital. The study does not suggest that these factors are unimportant. Instead, it suggests that the psychological composition of a population may also shape how readily a radically new activity gains an early foothold. Two cities with comparable funding, talent pools and connectivity may still differ markedly in their appetite for the unfamiliar, and that difference may only become visible when a genuinely disruptive technology arrives.

The practical implications cut in two directions. For businesses, local behavioural receptivity could offer an additional clue when deciding where to introduce unfamiliar technologies or business models, complementing the usual market analyses of income, competition and regulation. For policymakers, the message is more sobering: differences in adoption may not always be explained by infrastructure or investment alone. A region that wants to be an early adopter of the next transformative technology may need to think not only about broadband and capital but about cultivating the cultural and psychological conditions that make experimentation feel acceptable.

The researchers are careful about the limits of their work. The study did not examine artificial intelligence, and its results should not be directly extrapolated to AI adoption, which raises its own distinct social and economic questions. But they argue that the broader question is increasingly relevant as new technologies emerge. We did not study AI adoption, so we should be careful not to extrapolate, says Obschonka. But when a genuinely new technology arrives, its future does not depend only on the technology itself. It also depends on whether people are ready to experiment with it. As the next wave of radical innovations moves from laboratory to marketplace, the places that embrace them first may be decided less by what those places build than by who they already are.

Subject of Research: Regional psychological openness as a predictor of early adoption of radical digital innovations

Article Title: What makes a place ready for radical innovation?

Article References: What makes a place ready for radical innovation?. (n.d.). Original publication

Image Credits: AI Generated

DOI: Not provided

Keywords: psychological openness, radical innovation, early adoption, Big Five personality traits, innovation ecosystems, Airbnb, Uber, Flickr, network effects, Research Policy, metropolitan regions, technology diffusion

The keynote speaker, Professor Mari Elka Pangestu, Special Envoy of the President of the Republic of Indonesia for International Trade and Multilateral Cooperation and Vice Chair of the National Economic Council, delivered a diagnosis that was at once sobering and constructive. The world economy, she argued, is experiencing multiple disruptions simultaneously. Geopolitical tensions are sharpening, protectionism and unilateralism are gaining ground, and the resulting proliferation of trade restrictions is pushing economies toward fragmentation. Yet the same moment is defined by structural transformations—decarbonisation and the rapid diffusion of artificial intelligence—that are reshaping the economic landscape regardless of political turbulence. Her prescription was unambiguous: in the face of economic fragmentation, the emphasis must shift toward deepening regional cooperation rather than retreating behind national walls.

Central to her argument was a reframing of what enterprises actually need in this environment. Subsidies, she suggested, are not the answer; what firms require is the smooth flow of goods, services and people across borders. This distinction matters because industrial policy races—however politically popular—cannot substitute for the predictability, market access and mobility that allow supply chains to function. For an economy such as Hong Kong, whose historical role has been that of an intermediary and facilitator, the message lands with particular force. Its comparative advantage has never rested on subsidised production but on connectivity: financial, logistical and institutional. Preserving and extending that connectivity, especially toward the ten-member Association of Southeast Asian Nations, becomes not merely desirable but essential.

The complementarity between Hong Kong and ASEAN formed the second pillar of the keynote. Beyond traditional trade and investment flows, Professor Pangestu identified financial connectivity as the real untapped potential, noting that ASEAN is simultaneously negotiating collaboration with the European Union and upgrading its ASEAN Plus One frameworks. From a broader perspective, she argued, Asia must reject zero-sum unilateral orders and instead demonstrate courageous leadership in shaping global rules for trade, investment, artificial intelligence and climate change. This, she insisted, is not simply a strategic choice but an economic necessity: Asia’s prosperity has always been built on openness, and it will be strengthened only through deeper cooperation with regional and global partners alike.

Professor Richard Y.C. Wong, Provost and Deputy Vice-Chancellor of The University of Hong Kong, Chair of Economics, Philip Wong Kennedy Wong Professor in Political Economy and Director of the Hong Kong Institute of Economics and Business Strategy, framed the evening within a longer intellectual lineage. Nearly fifty years ago, Professor Edward K.Y. Chen was among the first scholars to study Asia’s newly industrialised economies, and the 2026 theme, Wong noted, reflects the enduring relevance of that research programme. Just as Chen and Pangestu have envisioned growing interconnectivity between Hong Kong and ASEAN amid heightened geopolitical tensions, the Business School has been building new bridges across the region—opening a centre in Ho Chi Minh City in 2022 and maintaining centres in the Chinese Mainland and Barcelona—translating thought leadership into policy influence, innovation and the formation of the next generation of leaders.

The panel discussion that followed the keynote turned principle into practice. Moderated by Dr Victor K. Fung, Chairman of Fung Investments, the session featured Professor Pangestu, the Honourable Bernard Charnwut Chan, Chairman and President of Asia Financial Holdings Ltd., and Mr Daniel R. Fung, Ambassador-at-large of the Hong Kong–ASEAN Foundation. The panellists confronted a striking statistic: Hong Kong already intermediates more than 60 percent of China’s inward foreign direct investment. Yet they cautioned that financial plumbing alone does not constitute a genuine economic bridge. What is missing, they argued, is knowledge—detailed, localised understanding of ASEAN markets, consumer behaviour, regulatory environments and business cultures that cannot be imported wholesale from the Chinese ecosystem.

The panel’s alternative was neither withdrawal nor simple replication. Instead of exporting China’s domestic model intact, leaders should leverage frameworks such as the Regional Comprehensive Economic Partnership to foster shared supply chains, mutual localisation and job creation on both sides of the relationship. Mutual localisation implies that Chinese and Hong Kong enterprises embed themselves in Southeast Asian economies as genuine participants—hiring locally, building local capabilities and sharing value—rather than treating the region purely as an export platform. Job creation, in this framing, is not a by-product but a condition of political sustainability: an economic bridge endures only when populations on both ends perceive tangible benefits. The panellists also emphasised that sustaining this bridge over the long term requires reviving the deep educational and cultural ties that historically united the two regions, a reminder that economic architecture rests on human foundations.

Professor Edward K.Y. Chen himself, whose teaching and mentoring inspired the founding of the lecture series, closed the evening with a reflection on resilience. Amid an increasingly complex and uncertain geopolitical environment, he identified the silver lining in the capacity of economies to absorb shocks. If an economy is resilient, it can minimise the impact of external disruptions and even convert challenges into opportunities. But resilience, he stressed, cannot be built in isolation; it requires regional cooperation. This is why, he explained, he and Professor Pangestu both believe in multilateralism and open regionalism—arrangements whose benefits are not confined to their members but extend to countries around the world. The formulation is technically significant: open regionalism, as developed in the economics literature associated with Chen’s generation, holds that preferential regional integration need not divert trade or exclude outsiders if it remains structurally open to new participants and aligned with multilateral rules.

Established in 2007, the Edward K Y Chen Distinguished Lecture Series honours the legacy of a scholar whose work on Asia’s newly industrialised economies anticipated the region’s transformation decades before it became conventional wisdom. The annual event brings leading global figures to share insights on the future of business, innovation and society, rooted in a tradition of mentorship and academic excellence. The 2026 edition carried that tradition into contested territory, arguing that the region’s response to fragmentation should be deeper integration rather than defensive separation.

The evening’s combined message was ultimately one of agency. Geopolitical headwinds are real, and the proliferation of trade restrictions is measurable and growing. But the speakers insisted that pressure can be converted into opportunity where institutions, firms and universities invest in connectivity, knowledge and cooperation. For Hong Kong, the path runs through ASEAN; for ASEAN, through partnerships that span the Pacific and Europe; and for Asia as a whole, through leadership in writing the rules that will govern trade, investment, artificial intelligence and climate action for decades to come. In a fragmented world, the lecture argued, openness remains the region’s most valuable and most defensible asset.

Subject of Research: Regional economic cooperation between Hong Kong and ASEAN in response to global trade fragmentation and geopolitical tensions

Article Title: HKU Business School Edward K Y Chen Distinguished Lecture 2026

Article References: HKU Business School Edward K Y Chen Distinguished Lecture 2026. (n.d.). Original publication

Image Credits: AI Generated

DOI: Not provided

Keywords: Hong Kong, ASEAN, geopolitics, trade fragmentation, regional cooperation, multilateralism, open regionalism, financial connectivity, RCEP, HKU Business School, Edward K Y Chen, economic resilience

The initiative covers three distinct technology pathways. The Engineering and Technology track spans a remarkably broad range of physical science innovation, including instruments, quantum technologies, advanced materials, coatings, hardware, electronics, artificial intelligence algorithms, robotics, energy technologies, and environmental technologies. The Software track offers two different arrangements depending on the needs of the founding team, an acknowledgment that software ventures often have very different capital requirements and development timelines than hardware-based companies. The Medical Device track covers devices used in healthcare, with the explicit exclusion of traditional therapeutics and biologics, which typically involve far longer regulatory pathways and different licensing considerations. By carving out these three lanes, Harvard has effectively created a taxonomy of commercialization that matches the distinct risk profiles and investor expectations of each technology class.

What makes ExpressPath technically interesting is its departure from the traditional case-by-case licensing paradigm. In a conventional university technology transfer process, a startup team and the licensing office enter open-ended negotiations over royalty rates, equity stakes, milestone payments, patent cost reimbursement, and sublicensing terms. Those negotiations can stretch for more than six months and generate tens of thousands of dollars in legal fees, costs that fall on teams that often have no revenue and little funding. ExpressPath replaces that haggling with a simplified license agreement whose financial terms have been benchmarked against a wide range of peer universities. Sam Liss, Harvard’s chief technology development officer and associate provost at the Office of Technology Development, framed the shift bluntly: ExpressPath, he said, removes the haggling and represents a genuinely different paradigm for how licensing will be done at Harvard for eligible startups.

The process itself has been engineered for speed. Researchers begin by reviewing the three ExpressPath licensing tracks, including eligibility criteria and license terms, on the Office of Technology Development website. Teams interested in pursuing a license then work with the OTD team to determine which pathway best fits their technology and business plans. Once eligibility and fit are confirmed, the office and the startup can move quickly to execute the license, eliminating the extended negotiation phase that so often delays commercialization. Because the terms are pre-set for eligible companies rather than negotiated individually, the process also becomes far more consistent for entrepreneurs and investors, who can model their financial plans around known assumptions instead of waiting months for a final agreement.

To build the program, Harvard’s technology development office reviewed hundreds of technology licenses at other universities across the United States, an exercise that gave the team a data-driven picture of what standard terms actually look like across the academic landscape. The office also consulted a range of external stakeholders to make sure the terms met fair market benchmarks. Among those consulted was MassVentures, a venture capital firm and economic development agency for the Commonwealth of Massachusetts that funds early-stage technology startups, along with other investors and entrepreneurs. That grounding in market practice matters: licensing terms that look generous to a university but onerous to an investor can quietly kill a startup before it forms, while terms that undervalue institutional IP create governance problems downstream.

Veterans of the startup ecosystem say the change addresses a structural bottleneck. Russ Wilcox, an investor and entrepreneur who has been through university licensing processes about half a dozen times, described licensing as a big bottleneck for funders and entrepreneurs. He pointed to the chicken-and-egg problem it creates for would-be companies: funders generally want proof of a license before investing in a startup, while a startup needs funds to undertake the licensing process in the first place. A founder can spend money they do not have on legal fees to secure an agreement that investors require before writing checks, a circular dependency that stalls many ventures at their earliest and most fragile stage. Wilcox said he believes ExpressPath will have benefits for everybody who needs to pursue licensing, saving both time and money and providing investor confidence in the process.

Wilcox also expects the program’s ease to allow more startups to grow out of university labs, because venture capitalists will see fewer potential barriers to licensing intellectual property from Harvard. That effect could be significant for the regional innovation economy. Universities generate a steady stream of patented discoveries, but only a fraction ever become products, and the friction of licensing is one of the reasons. When a benchmarked agreement can be executed in a matter of weeks rather than negotiated over six months or more, the effective cost of forming a company around a lab discovery drops sharply, which changes the calculus for both first-time academic founders and the investors weighing whether to back them.

Katie Rae, CEO and Managing Partner at Engine Ventures, who has served on several Harvard OTD entrepreneurship committees, echoed that assessment from the investor side. Anything that makes it more likely that a great company can get going faster, using less capital to get started, is a good thing for innovation, she said. But Rae was careful to emphasize that a license is only the beginning of a long journey. After licensing, the real work begins, she noted, because the founders then have to go make a company out of the technology. Even so, she argued that by lowering the barriers that come before that work, Harvard is listening and investing in the translation phase of innovation, which she called fundamental to the economy.

ExpressPath is also positioned as one piece of a larger institutional strategy to streamline the path from laboratory discovery to commercial products and services. John Shaw, Harvard’s Senior Vice Provost for Research, described the model as one part of Harvard’s broader effort to make it easier for research discoveries to move beyond the laboratory and into the world. By reducing uncertainty and creating a clear path to commercialization, he said, the university can help researchers, founders, and investors move promising innovations forward more effectively and at a faster pace. In the coming months, the Office of Technology Development plans to launch additional initiatives designed to make it easier and clearer for industry to fund research in Harvard labs, potentially addressing another common friction point between academia and the private sector.

Liss summarized the underlying philosophy in terms of focus. The goal, he said, is for the licensing process to move faster so that startup teams can concentrate on the hard work of commercializing early-stage technology and building a company. Based on his discussions with faculty, researchers, and investors, he expressed confidence that the ExpressPath model will greatly simplify and streamline licensing. For a generation of researchers increasingly expected to translate their discoveries into societal impact, the significance of the program lies in what it removes: months of uncertainty, unpredictable costs, and negotiation risk that have historically sat between a promising lab result and the founding of a company. Whether similar benchmarked approaches spread across the wider academic technology transfer landscape remains to be seen, but Harvard’s move signals a clear shift toward treating startup licensing as standardized infrastructure rather than a bespoke negotiation, a change that investors and founders alike say could meaningfully accelerate the journey from bench to market.

Subject of Research: University technology transfer licensing for academic startup formation

Article Title: Harvard announces new licensing model to help startups launch faster

Article References: Harvard announces new licensing model to help startups launch faster. (n.d.). Original publication

Image Credits: AI Generated

DOI: Not provided

Keywords: Harvard University, technology transfer, startup licensing, ExpressPath, intellectual property, venture capital, medical devices, software commercialization, academic entrepreneurship, innovation ecosystem, Office of Technology Development, commercialization

According to de Boer, markets do not wait for a political decision to be implemented. They try to anticipate future developments, and if it seems more likely that the United States will impose higher tariffs at some point down the road, that shift in probability can be reflected in exchange rates almost immediately. The mechanism is straightforward in principle: a tariff threat raises the expected cost of trade between the threatening country and its partners, alters expected trade balances, and changes the anticipated path of capital flows. Traders and algorithms digest these expectations in real time, so the mere prospect of protectionism becomes a priced factor in currency markets the moment it gains credibility.

What makes the new study unusual is the natural experiment de Boer constructed to isolate this effect. She analyzed how announcements of protectionist measures during United States presidential debates affected exchange rates, using the live broadcasts of debates from past election cycles. These broadcasts always aired between 9:00 and 10:30 p.m. East Coast Time, a narrow window with a crucial statistical property: the major stock exchanges are closed. Because conventional markets are shut during the debates, other market-relevant news that might otherwise contaminate the analysis can largely be ruled out. Any movement in currency prices during that window can therefore be attributed with much greater confidence to the political content of the debate itself.

To sharpen the identification further, de Boer evaluated data from prediction markets in which people bet on the outcome of the election. These betting odds show in real time how the assessment of a candidate’s protectionist stance changes as the debate unfolds. By pairing the minute-by-minute evolution of the odds with simultaneous movements in foreign exchange prices, the researcher could observe a clean chain of causation: a statement that raises the perceived probability of protectionist policy first shifts the betting markets, and the foreign exchange market reacts in step. The approach effectively turns televised political theater into a laboratory for measuring how expectations propagate into financial prices.

The results carry a clear distributional message: not all countries are equally exposed. Countries with close trade relations with the United States are especially strongly affected. The more heavily a country exports to the USA, the stronger its currency reacts to protectionist announcements. Mexico offers the textbook case. Because the Mexican economy is highly dependent on exports into the United States, the value of the peso falls in response to protectionist rhetoric. That depreciation is not merely a statistical curiosity; it feeds directly into the real economy, making imports from the USA, such as the machinery that Mexican industry relies on, more expensive and squeezing the very producers the tariff threat targets.

The study also shows that many emerging countries are more susceptible to such shocks than advanced economies, but the vulnerability is far from uniform. During her analysis, de Boer found that some emerging nations are especially fragile while others are much more resistant, and the difference appears to lie in the structure of their financial systems. A liquid financial market such as Brazil’s can better cushion capital outflows, because domestic and international investors can adjust positions without triggering disorderly price collapses. Foreign exchange reserves, meanwhile, give central banks the ammunition to support their currency when speculative pressure builds, buying time and credibility that thinner markets and empty reserve coffers cannot provide.

These findings arrive at a moment when trade policy uncertainty has become a defining feature of the global economy, and they help explain a pattern that policymakers have long observed anecdotally: emerging market currencies tend to swing hardest on American election nights. The research, published in the journal Emerging Markets Review under the title Protectionist US trade policies and the cross-section of emerging market currency returns, formalizes that intuition. It demonstrates that the cross-section of currency returns, meaning the pattern of which currencies rise and fall relative to others, can be predicted from observable characteristics such as trade exposure to the United States, market depth, and reserve adequacy.

For investors, the practical implications are significant. Currency traders who monitor debate transcripts and prediction market odds can position themselves ahead of the broader market, and the study suggests that the information embedded in betting markets is a leading indicator of exchange rate movements. For governments in trade-dependent emerging economies, the message is more sobering. Building deeper domestic financial markets and maintaining substantial foreign exchange reserves are not just prudential virtues; they are direct defenses against the volatility that foreign political events can transmit through the currency channel. A country that exports heavily to the United States but lacks these buffers faces a double exposure, absorbing both the trade shock and the financial shock of every protectionist utterance from American campaign stages.

De Boer’s research ultimately demonstrates how closely economics and policy are intertwined in a globalized financial system. Protectionist measures may provide benefits in the short term for the country imposing them, but they eventually lead to trade conflicts and higher prices, and the costs begin accruing the moment markets start anticipating them. The invisible bridges of globalization, as Ruhr University Bochum’s science magazine Rubin describes the connections, mean that a sentence spoken in an American debate hall between 9:00 and 10:30 p.m. can move the peso within minutes, raise the price of imported machinery in Mexican factories, and tighten the budget constraint of a farmer on the other side of the world. Currency markets, it turns out, are not waiting for history to happen; they are continuously voting on it in advance.

Subject of Research: How expectations of protectionist US trade policy immediately affect exchange rates, especially in emerging markets

Article Title: Exchange rates react immediately to the threat of tariffs

Article References: Exchange rates react immediately to the threat of tariffs. (n.d.). Original publication

Image Credits: AI Generated

DOI: Not provided

Keywords: exchange rates, tariffs, protectionism, emerging markets, currency markets, US presidential debates, prediction markets, Mexican peso, foreign exchange reserves, trade policy, Ruhr University Bochum, international macroeconomics