Public dialogues on AI express clear demand for innovations that enhance shared wellbeing and prosperity under democratic oversight. However, AI development has followed a different path driven by attention economy incentives, creating a structural gap between public expectations and actual innovation trajectories. Closing this gap requires shifting the innovation cycle toward an attention reinvestment model, where efficiency gains free time for community-driven innovation, with frontline professionals adapting and sharing tools that address priority needs. Scaling this approach demands new institutional infrastructure—dialogic, absorptive, and distributive capacities—that the current science-policy system lacks.
ICT, Education
Mind the gap: connecting AI innovation to widespread public value
Researchers from Wharton and Penn Engineering developed a low-cost AI decision-support tool to optimize medical supply distribution in Sierra Leone, a country facing extreme disruptions and high maternal mortality. The tool uses machine learning to forecast demand, fill data gaps, and allocate limited medicines efficiently, resulting in a 19% increase in allocated product consumption and a 32% rise in medicine use at underserved clinics. Now scaled nationwide, the system supports allocation of over 70 essential products, improving access for two million women and children under five at minimal cost. The AI complements local workflows, preserves human oversight, and offers a replicable model for resource-constrained health systems.
Africa | Health
Transforming Health Care Logistics With Low-Cost AI
Acquisitions can help companies resolve longstanding conflicts with hostile stakeholders by inheriting positive relationships and goodwill from the acquired firm, especially when stakeholders on both sides share common interests or have existing ties. Research by Wharton professors showed this effect through a 25-year study of interactions between Fortune 500 firms and environmental groups, highlighting the case of Pacific Lumber’s conflict ending after acquisition by Mendocino Redwood. However, acquisitions only reduce conflict when stakeholder groups are cohesive and aligned; fragmented or antagonistic stakeholders limit this benefit. Thus, understanding stakeholder dynamics during mergers is crucial, as acquisitions affect external relationships that can drive deal value beyond traditional synergies.
Can an Acquisition Buy a Company a Second Chance?
Andy Burnham, as former mayor of Greater Manchester, drove strong climate initiatives including public control of buses with a zero-emission fleet target by 2030 and carbon neutrality by 2038, ahead of UK national goals. His governance model, “Manchesterism,” could be scaled nationally to accelerate decarbonisation. Cities, responsible for over 70% of emissions, are pivotal in achieving positive tipping points where clean technology becomes more viable than fossil fuels through coordinated incentives, infrastructure, and regulation. Research shows that city-led policies, especially on electrifying freight transport, can expedite electric vehicle adoption more effectively than pricing alone. National support combined with devolved city powers is essential for the UK’s climate mission.
As mayor, Andy Burnham’s climate record was strong – this city knowledge is key to decarbonising the UK
Peace between the US and Iran has collapsed, causing Brent crude oil prices to rise amid renewed conflict. Despite prices remaining below previous wartime highs, oil markets face increasing pressure due to depleted global stockpiles and reserves that had previously buffered supply shocks. The initial price stability seen in early 2026 relied on decades-old inventories, spare production, and consumer tolerance—resources now significantly drained. With the Strait of Hormuz closed again and a maritime embargo on Saudi Arabia in place, oil prices are poised for a faster and more severe escalation compared to earlier conflicts.
The Oil Market Is Much More Vulnerable Than Trump Believes
Smart technologies like smart cars, homes, watches, and medical devices continuously monitor personal activities, creating pervasive digital self-surveillance. This data, while offering personal insights, is increasingly accessible to law enforcement for criminal investigations, transforming prosecution methods. Andrew Guthrie Ferguson’s "Your Data Will Be Used Against You" highlights how sensor-driven tech, social media monitoring, and AI threaten democratic values and personal freedoms. He warns of potential government overreach and abuse and advocates for legal reforms to regulate digital surveillance and protect individual rights.
ICT
Your Data Will Be Used Against You
Elon Musk's claim that his AI tool Grok Imagine will produce a "historically accurate" film of Homer's Odyssey is fundamentally flawed. The AI generates images based on existing depictions of antiquity, which are themselves often inaccurate and stereotyped, such as the portrayal of white marble statues ignoring their original polychromy. AI models recreate these clichés with high confidence, not true historical accuracy. Moreover, AI-generated visuals tend to average existing styles, lacking the creative choices, risks, and exaggerations that make films engaging and memorable. This averaging effect results in bland, unexciting outputs that miss the human element critical to storytelling and cinematic excitement.
Elon Musk says AI will make a ‘historically accurate’ Odyssey – here’s why that’s impossible
Human memory is often imperfect and reconstructive, distorting past events to maintain a coherent and positive self-image. Studies show people tend to misremember unfavorable information, such as poor grades or high cholesterol, in a more positive light, which supports wellbeing and self-esteem. This adaptive nature of memory contrasts with its fallibility in high-stakes areas like legal testimony. Excessive reliance on digital memory tools and AI that preserve and resurface all details may undermine psychological health by eliminating natural forgetting and positive bias. Overly accurate recall, as seen in rare conditions, can be exhausting and impede emotional recovery, suggesting that imperfect memory is beneficial.
The case for having an imperfect memory – a psychologist explains
AI aids deciphering ancient languages like Linear A and Etruscan by rapidly testing linguistic hypotheses and identifying patterns across large text corpora. It excels at cross-lingual transfer when related languages exist, as with Ugaritic, but struggles without anchors like bilingual texts or known language families. AI cannot independently generate meaning, limiting its ability to fully translate languages with scant evidence. While it can reconstruct inscriptions and propose lexicons, confirming meanings remains difficult without native speakers or extensive comparative data. Thus, AI supplements linguist creativity rather than replacing it in cracking ancient language codes.
Cracking the code: can AI help us decipher ancient languages?
The European Commission’s July 2026 draft reform of the EU Emissions Trading System (ETS) proposes extending free emission allowances, risking reinforcement of uncompetitive industries and reliance on public subsidies that hinder innovation. Using IMF data, the analysis reveals that carbon market revenues—though finite as emissions decline—are a crucial financial resource for Europe to invest in clean industrial capacity. Slower auctioning reduces fiscal revenue substantially, weakening incentives for clean production and shrinking funds needed to close investment gaps. Strengthening the ETS is essential to avoid fragmented national subsidies and support a unified, competitive green transition.
More Allowances, More Revenue? The Industrial-Policy Stakes of the EU ETS Reform
The study analyzes the socio-demographic determinants of consumer debt among Europeans aged 50 and over, comparing East and West European regions using data from SHARE's 7th wave (43,943 individuals, 19 countries). Key findings show younger age, male gender, marriage, higher education, and economic activity increase likelihood of debt, while greater net wealth and homeownership reduce it. Regional differences become insignificant after adjusting for demographics, highlighting age, gender, marital status, and household size as principal factors. Health limitations reduce debt holding, likely due to limited credit access, while risk aversion surprisingly correlates positively with debt, suggesting precautionary borrowing. The results support tailored financial literacy, transparent credit assessments, and suitable financial products for older adults.
Africa
Socio-Demographic profile of the Debt holDerS of olDer populationS in eaSt anD WeSt european regions
The EU's crisis management during the Eurozone crisis and COVID-19 pandemic reveals a pattern of slow recognition and response to systemic threats. Initial reactions treated crises as localized issues, delaying coordinated action. Resource mobilization improved significantly in the COVID-19 pandemic with initiatives like NextGenerationEU, marking a shift toward larger-scale common borrowing. However, both crises resulted in largely temporary or intergovernmental solutions, lacking the development of permanent supranational crisis management capacity. EU crisis responses reflect political interests and power dynamics rather than simple incremental integration through lowest-common-denominator policies.
Africa | Health, Financial services
When does EU crisis management work?
Holger Hanselka, President of the Fraunhofer-Gesellschaft, stresses that innovation requires long-term planning and reliable funding, highlighting the Central Innovation Programme for SMEs (ZIM) as vital for maintaining SME competitiveness. SMEs, especially those without in-house R&D, depend on collaboration with research institutions to transform research into market-ready products. The suspension of ZIM applications threatens this collaboration, sending a negative signal about Germany's innovation future. Hanselka asserts that Germany needs increased investment in research and technology transfer to remain a leading industrial and innovation hub amid current economic and geopolitical challenges.
Education
Innovation Requires Predictability and a Reliable Policy Framework
AI's economic impact is driven largely by its ability to accelerate organizational learning in firms, spreading knowledge faster and improving decision-making. This accelerates firms' maturity and productivity, extending their lifespans by enabling better project selection and resource allocation. Using a new metric called the Value of Organizational Learning Technologies (VOLT), researchers estimate AI could double U.S. economic output long-term. Most economic gains arise from longer firm survival rather than productivity boosts. The impact of AI varies by industry, with some sectors that quickly adopt AI tools creating significant value, while others with high AI feasibility show modest gains, challenging assumptions about which industries benefit most from AI.
Education
How organizational learning may determine AI’s economic impact
Modern science has relied on peer-reviewed publications for over 360 years to register, certify, and distribute new knowledge. However, AI technologies are rapidly transforming these processes, especially in medicine. Clinicians increasingly use AI tools at the bedside to answer treatment questions instantly, and research teams leverage real-world evidence without traditional publications. AI platforms like OpenEvidence now curate and deliver evidence directly to doctors, with adoption rates surpassing previous technologies. While journals still provide credibility and transparency, their role as primary distribution channels is diminishing as scientific communication evolves toward faster, data-driven decision-making and dynamic information access.
Education, Health
What AI’s usurping of the peer-reviewed publications means for medicine and pharmaceutical industry
Since 2001, the UK has undergone significant political and social changes. Tony Blair's Labour government, initially dominant, faced challenges post-2005 including war involvement and reduced public support. Devolution became entrenched, with Scotland and Wales advancing nationalist agendas. The rise of Euroscepticism, culminating in Brexit, transformed political dynamics, fueled by populist figures like Nigel Farage and movements like Ukip. Key events such as the 2003 Iraq war, the 2010 expenses scandal, the 2014 Scottish independence referendum, and the 2008 financial crash deeply affected public trust and economic conditions, shaping Britain's evolving political landscape and societal attitudes.
Health
Britain’s quarter century: Blair, populism and the battle over human rights
Defense spending shocks in emerging markets and developing economies, particularly in Asia and the Pacific from 1990 to 2023, have varied macroeconomic effects. The impact of defense expenditures is context-dependent, influenced by country-specific factors and the nature of spending. While defense spending can stimulate growth under certain conditions, it is not a universally effective tool for macroeconomic stabilization. Allocating resources to sectors like infrastructure, health, or education generally yields larger and more inclusive long-term economic benefits.
Financial services
Bullets and Budgets: Measuring Defense Spending Multipliers
The digital components of states—data, algorithms, infrastructure, and platforms—are currently governed without sufficient conceptual foundations, leading to misaligned authority and legitimacy. Digital statecraft is proposed as a framework encompassing two aspects: governing over digital systems (state authority and capacity over digital infrastructure) and governing with digital systems (using algorithmic tools to exercise authority). It demands technical coherence and legitimate authority, often in tension. Ten principles underpin effective digital statecraft, including prioritizing public interest, human-machine complementarity, governability by design, systemic coherence, hybrid institutions, adaptive governance, human centrality, accountable authority, long-term judgment, and safeguarding non-delegable core functions. The approach views the state as the primary institution for legitimate governance but recognizes that algorithmic governance may require rethinking state boundaries and structures.
ICT, Financial services, Education, Health
Governing Well in the Algorithmic Age: The Foundations of Digital Statecraft
Cold waters, particularly in the Arctic and Antarctic regions, constitute a distinct and underconceptualized operational maritime space, termed the "white water zone," complementing existing categories like blue, green, and brown waters. Historically peripheral due to harsh conditions, these areas have gained strategic importance amid climate change, resource potential, and shifting geopolitical claims, notably Russia's sovereignty consolidation and Western efforts to preserve a rules-based order. Recognizing cold waters as a unique domain is crucial for guiding maritime force posture, capability development, and international cooperation in these emerging global hotspots.
Antarctica
Defining the White Water Zone
After the 2020 Black Lives Matter protests, British publishers responded with a surge of self-help books by and for Black women, aiming to showcase diversity. However, these initiatives reveal mixed outcomes; while they provide representational visibility and validation to Black women readers and authors, they also highlight ongoing structural injustices within the largely white publishing industry. Diversity efforts often serve as symbolic gestures that offer comfort but fail to address deeper inequalities. This ambivalence reflects broader societal skepticism and political backlash against institutional diversity programs.
The betrayal of diversity in Britain’s book business