In the evolving landscape of global water resource management, addressing the persistent tension between equitable distribution and cooperative efficiency remains a paramount challenge. A pioneering study recently published in Nature Water introduces an innovative Atkinson social welfare function (SWF)-based framework that operationalizes distributive equity alongside systemic efficiency within transboundary water systems. By embedding equity explicitly as a normative design criterion, this framework leverages an adjustable inequality aversion parameter, providing policymakers with a powerful tool to balance social justice with optimal resource use.

At the heart of this advancement lies the mathematical backbone of the Atkinson SWF, a function well-regarded for its flexibility in capturing societal preferences for inequality reduction. The framework transforms equity from a nebulous ideal into a quantifiable, adjustable dimension directly integrated within multi-objective optimization. Applied to the Zambezi Watercourse—a complex shared basin impacting multiple countries—the model reveals that introducing inequality aversion yields only modest reductions in total hydropower output, around 1–2.7%, while significantly lowering disparities in country-level generation by 3 to 8 points on the Atkinson index.

This nuance is crucial because natural constraints such as water availability and turbine capacity inherently limit the scope for redistributing hydropower output to improve equity. Instead, the model shows that inequality aversion primarily affects firm generation capacity, where Zimbabwe and Zambia experience substantial percentage increases during critical periods, reflecting strategic operational shifts. Mozambique’s generation remains relatively stable. Such findings underscore a pragmatic approach to equity: rather than static allocation, operational strategies can target support during vulnerable drought conditions, effectively marrying resilience with justice.

Importantly, the concave utility assumption underlying inequality aversion parallels risk aversion concepts in economic theory. This alignment suggests that what often appears as an efficiency sacrifice in pursuit of equity may, in fact, represent a system more robust to uncertainty and stressors. In water resource contexts marked by ecological variability and competing demands, this insight reframes equity not as a zero-sum trade-off but as integral to sustainable cooperation.

A key innovation of the framework is its dynamic adaptiveness during optimization, eschewing rigid allocation rules or static weightings. For instance, when factoring in floating photovoltaic (FPV) investments alongside traditional hydropower, Mozambique assumes the full cost of preserving near-natural environmental flows in its delta—sacrificing 41% of hydropower generation and facing frequent low-output periods. Yet, this environmental stewardship shifts investment priorities away from Zambia to Mozambique without requiring prior distributional knowledge, thereby reducing inequality by 25 Atkinson index points with a modest overall production trade-off of 4.2%. This responsiveness is a critical advancement for transboundary water management, where power dynamics and environmental conditions are perpetually in flux.

The study deliberately calibrates its inequality aversion parameter, epsilon (ϵ), at 2—a level representing strong equity preference—to demonstrate the framework’s capabilities. However, it recognizes stakeholder perspectives may differ widely. Rather than treating epsilon as a technical constant, the authors advocate viewing it as a parameter for deliberation, surfacing explicit negotiation choices among diverse actors. Structured choice experiments could translate complex mathematical trade-offs into intuitively understandable options, enabling stakeholders to reveal implicit equity preferences through participatory processes. This approach dovetails with the multi-objective optimization’s Pareto frontier, which transparently spans the spectrum from maximal efficiency to maximal equity, thus facilitating informed trade-offs.

The researchers embed a normative assumption in their baseline welfare function: treating each country as an equally weighted actor, reflecting sovereignty principles inherent in international water law and institutional arrangements like ZAMCOM, the Zambezi Watercourse Commission. This aligns with the ‘one state, one vote’ doctrine, appropriate for interstate governance frameworks. Yet, the team acknowledges the normative and practical implications of population-weighted alternatives. Incorporating population in the welfare aggregate could, for example, prioritize individual welfare across riparian states rather than equal state-level standing. Such distinctions have profound implications—especially in basins like the Zambezi where the most populous country, Mozambique, has the lowest per-capita hydropower generation.

Extending the framework to a population-weighted SWF or a per-capita welfare input introduces normative choices about justice, as these measure equity through fundamentally different lenses: aggregate human welfare versus national sovereignty. In scenarios where population rankings and per-capita generation rankings conflict, these alternatives may pull policy preferences in divergent directions, underscoring the need for societal dialogue to resolve such trade-offs.

While the study focuses on interstate equity, it also addresses the crucial gap of intrastate disparities, which country-level metrics risk obscuring. Implementing the framework at subnational scales would necessitate coupling basin-wide hydrological models with detailed power system dispatch simulations and geospatial electrification mapping. Though technically complex, such integration promises to capture localized inequalities in access and generation more effectively. Preliminary attempts, such as those conducted in Ghana, employ inequity metrics like the Gini index but lack Atkinson’s adjustable inequality aversion—an essential feature for nuanced policy negotiation. The authors argue that their SWF framework offers scalable advantages for applying distributive justice across regional or even community scales, especially in data-scarce, transboundary environments.

A particularly thought-provoking question arises around accommodating group-specific inequality aversion across demographic or vulnerability categories—such as gender-differentiated impacts or subregional disparities within countries. From a methodological standpoint, the study identifies significant hurdles. Introducing distinct epsilon parameters for multiple groups compromises the anonymity and Pigou-Dalton consistency properties fundamental to welfare economics and adds layers of unquantifiable normative complexity. Instead, the authors advocate maintaining a single inequality aversion parameter, deferring subgroup analyses to disaggregated data where possible and allowing these insights to inform participatory negotiations.

Complementary approaches, including incorporation of needs-referenced thresholds consistent with prioritarian ethics, face challenges tied to the Atkinson function’s strict positivity constraints and the difficulty of justifying group-specific thresholds beyond narrowly defined legal or vulnerability classifications. Ultimately, the study emphasizes that the framework’s power lies in making equity visible and operationally relevant, rather than complicating aggregation with layered value parameters.

Beyond hydropower and water management, this Atkinson SWF-based approach holds broader applicability. Many resource allocation challenges characterized by monotonic, concave utilities—such as renewable energy deployment, biodiversity conservation, or climate adaptation finance—stand to benefit from formalized equity-efficiency trade-offs. Threshold effects or objectives with increasing returns require separate treatment within multi-objective optimization, but many relevant environmental and social goals fit the concavity assumption well.

As climate change intensifies variability in precipitation and water availability, the necessity of cooperative frameworks balancing equity and efficiency becomes ever more urgent to prevent breakdowns in international water agreements. By operationalizing the principle of ‘equitable and reasonable utilization,’ this research translates normative international water law doctrines into tangible, evidence-based decision tools that directly relate to real-world human welfare and environmental sustainability outcomes. The Atkinson SWF, with its adaptable inequality aversion and capacity for participatory negotiation, emerges as a promising lynchpin for future transboundary water governance.

In conclusion, this study marks a notable advance towards integrating distributive justice within multi-actor optimization models for shared water systems. It demonstrates how explicit normative assumptions can coexist with rigorous technical analysis to produce outcomes that are both efficient and equitable. The dynamic responsiveness embedded in the framework addresses the complexity and uncertainty of water sharing arrangements, facilitating adaptive cooperation even as political and climatic conditions evolve. This balanced approach, supported by empirical application to the Zambezi basin, could serve as a blueprint for operationalizing equity in other transboundary resource settings worldwide.

As demands on common-pool resources mount, such integrative approaches will be indispensable for sustaining long-term cooperation. By linking sophisticated welfare economics with participatory policy processes and cutting-edge water system simulations, this research provides both the theoretical foundation and practical pathway to reconcile competing values on the international stage. The Atkinson SWF-based equity framework thus represents a crucial step towards more just, resilient, and sustainable shared water futures.

Subject of Research:
Optimization of distributive equity and cooperative efficiency in transboundary water resource systems using Atkinson’s social welfare function.

Article Title:
Balancing equity and efficiency in transboundary water systems with Atkinson’s welfare function.

Article References:
Arnold, W., Giuliani, M. & Castelletti, A. Balancing equity and efficiency in transboundary water systems with Atkinson’s welfare function. Nat Water (2026). https://doi.org/10.1038/s44221-026-00671-4

Image Credits:
AI Generated

DOI:
https://doi.org/10.1038/s44221-026-00671-4

A groundbreaking study led by researchers at the University of Southern California (USC) has revealed that Alzheimer’s disease and related dementias are projected to impose an astronomical economic burden on the United States in 2026, amounting to an estimated $818 billion. This figure eclipses prior estimates as it incorporates often overlooked and nuanced costs, including the significant toll on the quality of life for those living with dementia and the substantial unpaid care provided by family members and friends. This comprehensive accounting reshapes our understanding of dementia’s societal impact, underscoring the urgency of policy innovation and resource allocation.

Traditional assessments of dementia’s economic footprint have primarily focused on direct medical and long-term care expenses. However, this USC study breaks new ground by adopting a holistic approach that integrates broader social and economic dimensions. The model includes quality of life diminishment for patients and informal caregivers, loss of income due to both the disease and caregiving responsibilities, and the extensive, unpaid labor carried out by millions of family members — a demographic often in their prime working years. This multifaceted approach allows for a more accurate reflection of the real costs dementia inflicts on society.

The study’s authors estimate that approximately 5.7 million Americans will be living with dementia in 2026, with 5.1 million of these individuals aged 65 and over. This demographic shift drives the increasing financial demands on healthcare systems and families alike. More crucially, the profound cognitive and functional decline experienced by dementia sufferers translates to a staggering $320 billion in lost quality of life, representing the single largest cost category. Care partners, often emotionally and physically strained, suffer quality-of-life costs valued at an additional $15 billion, quantifying the invisible burden that has been historically underestimated.

Unpaid caregiving, a cornerstone of dementia support, amounts to an astonishing 6.8 billion hours annually, contributed by approximately 5.2 million unpaid caregivers. This contribution is monetized at $237 billion, illustrating the massive economic value of informal care networks sustaining individuals with dementia. Long-term medical care, which includes nursing homes, home health services, and medical treatments, is projected at $222 billion. Medicare and Medicaid programs are shoulder approximately 70% of these costs, creating fiscal pressures on public health financing, while families and patients face out-of-pocket expenses near $46 billion—a significant financial stressor for many households.

Furthermore, the study incorporates lost wages, quantifying foregone earnings of $23 billion for both individuals living with dementia and their unpaid caregivers. These labor market impacts have wide-ranging implications for household financial stability and overall economic productivity. By deploying a dynamic microsimulation modeling framework and leveraging large nationally representative datasets—such as the Health and Retirement Study and administrative data from Medicare and Medicaid—the researchers have crafted a data-driven lens through which to forecast future dementia costs under various clinical and policy scenarios.

This evolving cost model is significant not only for its predictive power but for its potential to inform decision-making at multiple levels. It integrates peer-reviewed methodologies, published in a dedicated methods paper that ensures transparency in data sources, assumptions, and simulations. This methodological rigor equips policymakers, healthcare providers, and researchers with a robust platform to interrogate the efficacy of emerging treatments, changes in care delivery models, and evolving health policies. The goal is to better understand how these innovations might shift dementia’s economic and social impact.

The USC-led team’s interdisciplinary composition enhances the study’s depth and applicability. Contributors hail from diverse academic units within USC—including the Price School of Public Policy, the Mann School of Pharmacy and Pharmaceutical Sciences, the Davis School of Gerontology, and the Viterbi School of Engineering—as well as esteemed external collaborators from the Alzheimer’s Association and the University of Pennsylvania. This collaboration has generated a model enriched by real-world insights from people with mild cognitive impairment and their care partners, gathered through Alzheimer’s Association panels. Their lived experiences add critical context often absent from purely quantitative analyses.

In parallel with advances in medical science, this research dovetails with promising trends in dementia detection and management. FDA-approved blood tests now allow for the pre-symptomatic identification of Alzheimer’s pathology, while emerging therapeutics show potential in slowing disease progression. Innovative care models focused on keeping individuals at home for longer durations while supporting family caregivers further signal a paradigm shift in dementia care. This study’s comprehensive cost framework can serve to evaluate the economic and societal ripple effects of such innovations, offering a valuable forecasting tool amid the rapidly changing landscape.

Lead researcher Julie Zissimopoulos emphasizes that accurate, comprehensive cost assessments are vital for allocation of resources in the face of a growing dementia population. This modeling approach allows for simulations that address critical questions, such as how slow-progressing treatments could improve quality of life or reduce nursing home demand, yielding insights needed for smarter, evidence-based policymaking. For example, understanding potential reductions in caregiving burden or shifts in out-of-pocket expenses can guide investment priorities across public health and social services sectors.

Moreover, the dynamic microsimulation approach employed by the study captures longitudinal impacts on individual trajectories, accounting for how health interventions at earlier disease stages might alter future care needs and economic costs. By continuously updating the model with new data inputs and methodological enhancements, the USC team ensures that their projections remain responsive to evolving clinical knowledge and demographic trends, positioning the cost estimates as authoritative inputs for strategic planning.

A particularly striking takeaway is the valuation of informal caregiving, which emphasizes the critical yet underappreciated role family and friends play in sustaining the dementia-affected population. The emotional, physical, and financial strain borne by these caregivers often goes unrecognized in policy dialogues. Quantifying these costs helps to illuminate the hidden layers of dementia’s societal toll, strengthening the argument for supportive interventions, caregiver resources, and systemic reforms to alleviate their burden.

Dana Goldman, founding director of the USC Schaeffer Institute, highlights that understanding the expanding economic footprint of dementia is fundamental to harnessing the full potential of scientific and care innovations. As Alzheimer’s disease and related dementias continue to challenge health systems globally, this study outlines a crucial framework for evaluating the interplay between emerging therapeutics, care delivery, and economic sustainability. It advocates for data-driven policies that adapt to and capitalize on these transformative changes.

This comprehensive analysis of dementia’s economic burden thus represents a critical step forward in the public health and policy arenas. Its nuanced incorporation of quality-of-life metrics, unpaid caregiving, lost earnings, and formal healthcare expenses paints a detailed portrait of the multifaceted costs dementia imposes. As American society confronts a rapidly aging population, these findings serve as a clarion call to address the broad spectrum of dementia’s impact, ensuring informed strategies to mitigate its profound human and economic consequences.

Subject of Research: Economic Impact of Alzheimer’s Disease and Related Dementias
Article Title: The 2026 U.S. Cost of Dementia: A Comprehensive Model Accounting for Quality of Life and Informal Caregiving
News Publication Date: 24 June 2026
Web References: https://schaeffer.usc.edu/cost-of-dementia-model/; https://alz-journals.onlinelibrary.wiley.com/doi/10.1002/alz.71480
References: Zissimopoulos, J., et al. (2026). Comprehensive cost modeling of Alzheimer’s disease and related dementias. Alzheimer’s & Dementia: The Journal of the Alzheimer’s Association, doi:10.1002/alz.71480
Image Credits: USC Schaeffer Center for Health Policy & Economics

Keywords: Dementia, Alzheimer’s disease, Economic burden, Quality of life, Informal caregiving, Health care costs, Lost wages, Policy modeling, Aging population, Health economics, Microsimulation

The White House is drastically shortening the deadline for government agencies and organizations to adopt new quantum-resistant encryption systems that will withstand attacks that use quantum computers, as the federal government seeks to protect decades’ worth of secrets belonging to militaries, banks, governments, and most individuals on Earth.

The executive order, titled Securing the Nation against Advanced Cryptographic Attacks, requires computing systems for “high-value assets” and “high-impact systems” to transition to post-quantum cryptographic key establishment schemes by December 31, 2030, and to quantum-safe digital signature schemes by December 31, 2031.

Heading off a significant threat

The new deadline, which for many organizations is about five years sooner than the previous one, comes on the heels of recent research showing that the resources and cost for building a cryptographically relevant quantum computer are far less than previous consensus estimates. In response, Google, Cloudflare, and other companies recently tightened their timelines for moving off vulnerable systems to 2029.

Read full article

Comments

The White House is drastically shortening the deadline for government agencies and organizations to adopt new quantum-resistant encryption systems that will withstand attacks that use quantum computers, as the federal government seeks to protect decades’ worth of secrets belonging to militaries, banks, governments, and most individuals on Earth.

The executive order, titled Securing the Nation against Advanced Cryptographic Attacks, requires computing systems for “high-value assets” and “high-impact systems” to transition to post-quantum cryptographic key establishment schemes by December 31, 2030, and to quantum-safe digital signature schemes by December 31, 2031.

Heading off a significant threat

The new deadline, which for many organizations is about five years sooner than the previous one, comes on the heels of recent research showing that the resources and cost for building a cryptographically relevant quantum computer are far less than previous consensus estimates. In response, Google, Cloudflare, and other companies recently tightened their timelines for moving off vulnerable systems to 2029.

Read full article

Comments

Kemi Badenoch, who joined US anti-abortion activists and European far-right parties at ARC, described energy secretary as a ‘villain’

Britain’s net zero policies and the energy secretary, Ed Miliband, have come under fire at a conference of conservatives, rightwing populists and wealthy US backers linked to Donald Trump.

The energy policies pursued by the British government were described as a “tragic mistake” by Trump’s energy secretary, one of a number of officials from the US administration attending the event.

ABC is urging viewers to write to the Federal Communications Commission and tell it to stop trying to "control who is allowed to appear" on The View. An ABC commercial that started airing yesterday asked viewers to submit responses to the FCC's call for public comment on whether the talk show is a “bona fide news interview program.”

"The View has welcomed your favorite guests and covered the issues you care about for nearly 30 years," ABC's ad said. "Now, the FCC wants to control who is allowed on the show. Viewers, use your voice. Tell the FCC to let the viewers decide."

For decades, the FCC has classified late-night and daytime entertainment talk shows as bona fide news for the purposes of their interview segments. This makes the shows exempt from the equal-time rule, which requires equal opportunities for opposing political candidates on non-news programming.

Read full article

Comments

The United States is one of only a handful of countries that allows companies to hold patents on plant varieties. As a result, a small number of corporations can—and do—suppress competition in the seed industry, stifle innovation, and turn taxpayer subsidies intended for farmers into corporate profits.

The US Department of Agriculture has found that two companies control more than 70 percent of US corn and soybean seed sales, and the top four cottonseed companies control nearly 94 percent of that market.

In a May 2026 court filing in a legal dispute between two US seed companies, the Department of Justice said patents on seeds are obstructing competition and research in the agriculture industry.

Read full article

Comments

Mitchell Institute workshop participants found little consensus on where competition ends and conflict begins as China expands counterspace capabilities

The post Report: U.S. needs framework for responding to hostile acts in space appeared first on SpaceNews.

Energy secretary hails £100bn milestone in this parliament and says it is ‘only the start of what we want to achieve’

Ed Miliband has hailed a boost to UK jobs and growth as government data reveals that private sector companies have pledged more than £100bn in investment into the green economy so far in this parliament.

Offshore wind, solar power and the electricity grid make up the bulk of the planned investment, most of it between 2024 and 2031, which will go to all regions of the UK and comes from a mixture of UK companies and overseas sources including the EU and Japan.

Polymarket paid dozens of social media users to film themselves making fake bets for a promotion that aimed to convince people they can strike it rich on the prediction market, according to a Wall Street Journal investigation published on Saturday.

"In its push to draw users to its unregulated platform, Polymarket has flooded social media with videos like [George] Makihara’s, which appear genuine at first glance," the article said. "In reality, Polymarket built near-perfect copies of its website, then instructed creators to make simulated trades on those dummy sites and hide that they were being paid by Polymarket."

Makihara, a college student, posted a video in January "that showed him winning $100,000 on a wager that President Trump would publicly say the word 'McDonald's' that month." But trade data showed that no one on Polymarket won such a bet in January, according to the Journal. This was one of 145 bets that Makihara appeared to place on Polymarket between January and May, but all of those bets were fake, the article said.

Read full article

Comments

An elderly Texas woman tragically died Friday after a man who told police he was relying on his Tesla Model 3’s automated driver-assistance mode lost control and crashed his car into her family’s home.

In a statement, the Harris County Sheriff’s Office confirmed to Ars that Michael Butler said that “he was operating with an automated driving-assistance system engaged at the time of the crash.” Police are currently investigating whether the autopilot feature in any way caused the crash but confirmed that Butler was not intoxicated and is cooperating, partly by helping cops understand how Tesla’s Autopilot feature works.

“Butler failed to drive in a single lane, left the roadway, and struck the residence” at a “high rate of speed,” the sheriff’s office said.

Read full article

Comments

Prime minister was forced to row back on some policies despite strong support among voters for climate action

Keir Starmer has faced a problem no Labour government has needed to deal with before. His energy and climate policies – core to solving the cost of living crisis – have come under attack from opposition parties, which have made dismantling the agenda one of their top priorities, second only to immigration, in their pitch to voters.

This is new in British politics, where a cross-party consensus on the climate and environment has held at least since the days of Margaret Thatcher. She warned the UN of the climate crisis in 1988; David Cameron in 2006 urged voters to “vote blue, go green”; Theresa May enshrined in law the requirement to reach net zero greenhouse gas emissions by 2050; Boris Johnson championed the Cop26 UN climate summit in Glasgow in 2021; even Rishi Sunak only tried a partial rollback of green policies as a last desperate throw before calling an election.

In 2023, after years of pollution, equipment failures, and health concerns, the Cumberland Fossil Plant in Tennessee was slated to close within the decade.

The coal-fired plant had been part of a multibillion-dollar settlement in 2011 after its operator, the Tennessee Valley Authority, failed to install pollution control technology a decade earlier. Regulators cited the plant for more air-pollution violations in 2017 and 2023. TVA said it would shutter Cumberland’s units in 2026 and 2028.

Then the Trump administration replaced four of TVA’s board members, and the agency reneged on its retirement plan in February. Now, TVA has a federal pledge for $46 million to extend Cumberland’s lifespan—part of a nationwide push by President Donald Trump to keep older coal plants running.

Read full article

Comments