Scientific Evidence And Public Policy

A new 20-year analysis of satellite data shows that the Old Continent’s freshwater reserves are shrinking, silently and steadily. Satellites that weigh the Earth by tracking gravitational changes reveal 👉 Northern Europe is getting wetter. 👉 Southern and central Europe are drying fast. And what’s disappearing fastest is the water we don’t see — groundwater, the strategic reserve that keeps our taps running, our crops alive, and our economies functioning. This is #climatechange in real time. No models, no projections — observations from space. Researchers warn that Europe is barreling toward a 2°C world, and the consequences are already here: • Heavier downpours but longer, harsher dry spells • Winter recharge seasons shrinking • More runoff, less infiltration • Deep aquifers declining across the EU • Increasing pressure on public water supply and agriculture Groundwater is the backbone of Europe’s resilience. In 2022 alone: 🔹 62% of all public water supply came from groundwater 🔹 33% of agricultural demand relied on it 🔹 Groundwater abstractions increased by 6% despite lower overall water use Farmers across southern Europe are watching reservoirs drop while fruit and vegetable yields continue to fall. These are the same dynamics long documented across the Global South, now hitting Europe with unprecedented force. The old assumptions no longer hold. Europe is not water-secure. Infrastructure alone will not save us. New reservoirs arriving in 20 years are not a solution for a crisis happening today. We need: ✅ Radical efficiency — cutting leakage, modernising networks, accelerating water-smart design ✅ Water reuse at scale — separating drinking water systems from non-potable recycled streams ✅ Nature-based solutions — restoring wetlands, aquifers, and natural recharge ✅ Smarter climate-informed water governance — using the best science to guide every decision ✅ A mindset shift — rainwater harvesting, circular water systems, and demand-side management must become standard, not exceptional read the article in The Guardian 👇 https://lnkd.in/eeTsyMve

The American Psychiatric Association has acknowledged fundamental limitations in the current DSM. In its January 2026 roadmap, the APA states that the manual remains largely atheoretical, lacks validated biomarkers for most disorders, and depends on descriptive symptom clusters rather than established biological or etiological mechanisms. It proposes transitioning to a more flexible, digital format that incorporates contextual factors, transdiagnostic elements, severity gradients, and emerging scientific data. This development has direct implications for child welfare, family law, and trauma-informed practice, where DSM diagnoses have frequently supported child removals, termination of parental rights, and mandated interventions by framing trauma responses and systemic stressors as discrete disorders. A scientifically grounded alternative already exists and does not require waiting for a revised manual. Key components include: • Bruce Perry’s Neurosequential Model, which views distress as disrupted hierarchical brain development and sequences interventions from physiological regulation upward. • Jack Shonkoff’s ecobiodevelopmental framework, which demonstrates how toxic stress affects gene expression and developmental trajectories while protective relationships provide buffering effects. • The THEN Center’s emphasis on trauma—including structural inequities—as a primary driver of brain-body dysregulation. • Social and political determinants of health, which identify place-based inequalities, relational environments, and persistent unfreedoms as core influences on adaptive survival responses. These frameworks support multidimensional assessments focused on developmental history, neurobiological context, toxic stress exposure, protective factors, and systemic conditions. Existing tools such as Perry’s NMT Metric and ACEs/PCEs inventories provide practical alternatives that outperform DSM-based categorization. Child protection agencies should adopt differential response models, train personnel in trauma-informed and neurodevelopmental approaches, prioritize family support, and reduce reliance on DSM codes for decision-making. Attorneys should challenge DSM-dependent evidence in court under Daubert or Frye standards, request evaluations grounded in trauma and contextual factors, and advocate for reforms that uphold constitutional protections for families. The APA’s admission weakens the scientific justification for continued DSM dominance. The available evidence supports a shift toward systems that rely on valid science to address root causes rather than rely on outdated diagnostic constructs.

A policy shift on genetically modified soybeans - Is it need of the hour? The productivity of soybean, an important oilseed in the Indian context, has been stagnant for a long time while the world moving ahead in productivity making India one of the least productive country as far as yields are concerned. In this scenario to achieve self-sufficiency in edible oils we need to broaden our thinking horizon. The question of whether India should relook at its policy on genetically modified soybeans is complex, involving a myriad of factors that must be carefully weighed. The potential benefits of increased productivity, economic gains, and environmental sustainability must be balanced against risks related to health, biosafety, and socio-economic disparities. By adopting a comprehensive and inclusive approach, India can navigate this intricate landscape and make decisions that will benefit its agricultural sector and the broader population. India's policy on GM crops is governed by strict regulations under the Genetic Engineering Appraisal Committee (GEAC), which oversees the approval and monitoring of GM organisms. Currently, India allows the cultivation of Bt cotton, while other GM crops, including soybean, maize, and mustard are either under trial or not approved for commercial cultivation. The primary reasons for this cautious approach include biosafety concerns, ethical considerations, and socio-economic impacts. Ultimately, the decision to adopt GM soybeans should be guided by robust scientific evidence, transparent regulatory practices, and a commitment to addressing the concerns of all stakeholders. As India continues to evolve its agricultural policies in response to global challenges, the careful consideration of GM crops, including soybeans, could play a crucial role in ensuring food security, economic stability, and environmental sustainability for future generations. Relooking at the policy on GM soybeans is not merely a question of scientific and economic feasibility but also involves ethical, cultural, and socio-economic dimensions. By fostering a holistic approach that integrates rigorous research, robust regulations, public engagement, and international collaboration, India can make an informed decision that aligns with its broader goals of sustainable development, food security, and economic equity. India stands at a crossroads where the decisions made today will shape the agricultural landscape of tomorrow. With a thoughtful and inclusive approach, the country can navigate the complexities of GM crop adoption and pave the way for a resilient and prosperous future for its farmers and citizens. The article "Should India Relook at Its Policy on Genetically Modified Soybean?", delves into whether India should reconsider its policy on GM soybeans, examining the potential benefits, risks, and the broader implications for the country's agricultural sector.

Impact evaluation is a crucial tool for understanding the effectiveness of development programs, offering insights into how interventions influence their intended beneficiaries. The Handbook on Impact Evaluation: Quantitative Methods and Practices, authored by Shahidur R. Khandker, Gayatri B. Koolwal, and Hussain A. Samad, presents a comprehensive approach to designing and conducting rigorous evaluations in complex environments. With its emphasis on quantitative methods, this guide serves as a vital resource for policymakers, researchers, and practitioners striving to assess and enhance the impact of programs aimed at reducing poverty and fostering development. The handbook delves into a variety of techniques, including randomized controlled trials, propensity score matching, double-difference methods, and regression discontinuity designs, each tailored to address specific evaluation challenges. It bridges theory and practice, offering case studies and practical examples from global programs, such as conditional cash transfers in Mexico and rural electrification in Nepal. By integrating both ex-ante and ex-post evaluation methods, it equips evaluators to not only measure program outcomes but also anticipate potential impacts in diverse settings. This resource transcends technical guidance, emphasizing the strategic value of impact evaluation in informing evidence-based policy decisions and improving resource allocation. Whether for evaluating microcredit programs, infrastructure projects, or social initiatives, the methodologies outlined provide a robust framework for generating actionable insights that can drive sustainable and equitable development worldwide.

68% of Europeans believe scientists should intervene in political debates to ensure decisions are evidence-based (Eurobarometer 557). Yet, too often, the bridge between research results and policymaking remains underused. The European Research Executive Agency (REA) Agency has published a kit for EU-funded projects on how to share scientific evidence with policymakers. Its logic is simple but powerful: if research is publicly funded, it should not only advance knowledge but also inform policy choices. What this means The document outlines three principles for achieving policy impact: • Understand the policy context – track priorities, identify the right timing, and make results relevant. • Join forces with stakeholders – academics, industry, civil society, and other EU projects. • Plan for impact from the start – define audiences, key messages, and the right channels. It also lists the most effective formats to reach policymakers: policy briefs, consultations, workshops, and direct reporting. Interestingly, it stresses that researchers’ own social media accounts can also play a role in authenticity and engagement. Why this is interesting and for whom • For researchers: the kit provides 10 concrete steps and links to EU tools such as CORDIS, Horizon Dashboard, and the Horizon Results Platform, turning evidence into actionable insights. • For policymakers: it offers a structured way to receive scientific input in real time, aligned with the EU policy cycle. • For citizens: it strengthens the expectation that public policies are backed by evidence, not just political negotiation. The message is clear: EU-funded research is not complete until its results have reached the people shaping Europe’s future laws and strategies.

💡 Pretty ground breaking work in guiding population health care management through reinforcement learning (basically using longitudinal trajectories+ learning models) to support complex decision-making with and for patients. 🚨 Bottom line: SARSA-guided care management (CM) reduced acute care events by 12% points Sanjay Basu, MD, PhD Bhairavi Muralidharan Sadiq Y. P. JMIR Publications published on a state-action-reward-state-action (SARSA) reinforcement learning model that moves beyond traditional individual care manager experiential judgement to guide outreach of medically and socially complex patients. This tool learns from longitudinal trajectories to prevent adverse outcomes through recommender systems, provides suggestions of what interventions patients may need, and output can guide smarter judgement by CMers. Background: 💠 CM programs have notoriously been hard to evaluate reliably due to enormous variation in implemention, staffing, and training-- leaving the door open for missed identification of interventions or bias 💠 CMers are increasingly community health workers and unlicensed staff, and these programs have spread to support millions of Americans 💠 Most programs are implemented using locally created workflows based on clinical guidance and EHR documentation 💠 The more efficient CM outreach is in identifying the patients which will benefit from specific interventions, the greater the efficiency of staff deployment - less time prepping for outreach so staff can spend more time directly with patients (quality) and greater patient reach per staff (quantity). Here's how it worked, they: 💠 Evaluated 3175 Medicaid beneficiaries in CM programs across 2 states from 2023 to 2024 💠 Compared alternative approaches for recommending “next best step” interventions: the standard experience-based approach (status quo) and a state-action-reward-state-action (SARSA) reinforcement learning model 💠 The analysis of as robust and included: - Clinical impact metrics, - Counterfactual causal inference analyses to estimate reductions in acute care events - Assessed fairness across demographic subgroups - Performed qualitative chart reviews where the models differed Results: 💠 SARSA-guided CM reduced acute care events by 12% points compared to standard care management with a NNT 8.3 (95% CI 4.6-45.2) to prevent 1 acute event 💠 SARSA CM improved fairness across demographic groups, including gender (reduction 1.5%) and race and ethnicity (reduction 3.3%) 💠 Qualitatively, SARSA CM detected and recommended interventions for specific medical-social interactions (e.g. respiratory issues associated with poor housing quality, food insecurity for those with diabetes) Models like this have the potential to help care managers leap forward in becoming even more efficient in advocating for patients to receive needed services with better outcomes. #smarter #efficient #caremanagement #value #populationhealth #AI https://lnkd.in/g36B_Ztp

Optimal Portfolio Management for Healthcare Interventions Healthcare leaders often manage programs one at a time, but the real gains come when we manage them as a portfolio. The same principles that guide optimal portfolio allocation in finance can guide smarter decisions in population health. 1. Expected Return Effect size is our version of return. Interventions with strong, consistent outcomes should form the foundation. Examples include hypertension control, vaccination, and structured diabetes care. 2. Risk Uncertainty acts like volatility. Programs with robust evidence and predictable outcomes deserve proportionally larger investment. Emerging technologies or small pilot studies carry higher uncertainty and should be balanced accordingly. 3. Correlation Programs often fail together when they rely on the same workforce, same behaviour change, or same patient segment. Diversification matters. Combine chronic disease management with mental health, screening, workplace wellness, and digital tools to reduce systemic vulnerability. 4. Optimal Allocation By combining effect sizes, uncertainties, and correlations, health systems can identify the portfolio mix that produces the highest population health impact for every dollar invested. This shifts planning from intuition toward structured, evidence-informed strategy. Why this matters Portfolio thinking protects health systems from uncertainty, strengthens resilience, and ensures that innovation complements rather than competes with proven interventions. The result is a smarter, more balanced, and more impactful approach to improving health outcomes. If you are interested in examples for chronic disease pathways, AI screening tools, or national-level planning, I am happy to share more.

Roadmap to Social Impact. Your step-by-step guide to planning, measuring and communicating social impact! I. Situation 1. Social impact measurement must move from good intentions and compliance to evidence, learning and action. 2. It proves value, improves programs, guides resources and strengthens stakeholder confidence. 3. Its strategic task is linking activities to vision, values, decisions and lasting change. II. Purpose and Systems Lens 1. Start with the problem, intended outcomes, audience and reason for measuring. 2. Use problem analysis and systems thinking to surface root causes, equity, assumptions and leverage points. 3. Name positionality, finance incentives and unintended consequences before methods harden. III. People, Planning and Legitimacy 1. Evaluation needs leadership, learning culture, resources and visible use of results. 2. Stakeholder analysis maps influence, interest, resistance, needs and engagement level. 3. Lived experience, Indigenous cultural safety, data sovereignty, ethics and budget determine legitimacy. IV. Program Design and Measurement Architecture 1. Theory of change explains why change should happen; program logic shows inputs to impact. 2. Evaluation questions set the path: process, outcomes, impact, economic, realist, developmental or systems. 3. Frameworks convert purpose into indicators, data sources, timing, governance, analysis and translation. V. Evidence, Analysis and Credibility 1. Mixed methods balance scale, context and confidence. 2. Evidence quality depends on validity, reliability, relevance, triangulation, ethics and bias control. 3. Contribution claims often outperform attribution claims in complex systems. VI. Conclusion 1. Measure what matters, for whom, why and how findings will be used. 2. Translate findings into the “so what” through reports, dashboards, stories, workshops and action plans. 3. Impact compounds when evaluation is embedded into capability, decisions, learning and responsible AI use. Make sure to check out these great resources by Centre for Social Impact here: https://lnkd.in/dkaz8YnM —— Stay Ahead of Transformative Innovation Follow The Futuring Alliance for regular insights, foresight, and practical tools to help your organization thrive in times of change. We support leaders across industries in turning future-focused ideas into real-world impact—through collaboration, innovation, and bold action. Let’s shape what’s next—together. #innovation #transformativeinnovation #foresight #futures #impact #socialimpact #systems #systemschange 

The "Hong Kong Nature-based Solutions Design Guidelines" (March 2026), jointly published by the Civil Engineering and Development Department and the Agriculture, Fisheries and Conservation Department, establishes a comprehensive strategic framework for practitioners to integrate Nature-based Solutions (NbS) into the urban and natural landscapes of Hong Kong. Moving beyond traditional "gray infrastructure," the guidelines advocate for a "human-centric" design approach that promotes ecosystem diversity at multiple scales while addressing societal challenges like flood mitigation, heat island effects, and biodiversity loss. By providing core principles and practical design guidelines, the manual ensures that the "accelerated development" of Hong Kong’s infrastructure is "safe by design" and nature-positive, ultimately fostering a "healthy, equitable, and resilient" coastal city that serves as a global model for sustainable urbanism. ➡️ Social Factors A primary social factor is the commitment to improving the quality of life for Hong Kong residents by integrating accessible blue-green spaces into the high-density urban estate. The guidelines act as a "silo connector" between technical practitioners and the public, fostering a sense of community ownership over nature-positive projects and enhancing social resilience through improved environmental literacy and outdoor recreational opportunities. ➡️ Technological Factors Technology acts as an "essential enabler" through the use of eco-hydraulics, permeable pavements, and bio-retention systems that mimic natural processes to manage water and temperature. The report highlights a requirement for high-performance monitoring and "Science for Policy" breakthroughs to measure the effectiveness of NbS, utilizing remote sensing and ecological modeling to ensure projects are "safe by design" and provide long-term ROI. ➡️ Economic Factors From an economic perspective, NbS offer a "transition realism" that can be more cost-effective than traditional engineering over the long term by reducing the requirement for frequent maintenance and providing "unfulfilled" co-benefits like carbon sequestration and improved air quality. ➡️ Environmental Factors A core environmental factor is the promotion of "ecosystem diversity at multiple scales," creating a "recursive synthesis" between urban parks and wilder conservation areas to protect local species. The framework focuses on building "proactive resilience" against extreme weather events, such as typhoons and heavy rainfall, ensuring that the "ecological foundations" of the city are strengthened to withstand the "high-velocity" impacts of climate change. ➡️ Political & Regulatory Factors The political landscape is defined by the "multilateral cooperation" between different government departments (CEDD and AFCD), creating a unified "regulatory fabric" for infrastructure development.

Just read this excellent new paper by Guy Pe'er and colleagues on the role of science and scientists in EU environmental policymaking, focusing on the Nature Restoration Regulation (NRR) and the Sustainable Use Regulation (SUR). As someone active at the science-policy interface of the EU #GreenDeal, it resonates strongly. The paper dissects how misinformation and short-term political pressures derailed the SUR, while sustained scientific engagement helped secure the NRR. It provides a sharp analysis of claims used against these regulations — on food security, yields, jobs, and energy — and contrasts them with robust scientific evidence. What stands out is the authors’ call for scientists to be proactive, credible, and collaborative in the public arena, especially when evidence is distorted or ignored. The open letter by 6,000 scientists in support of the NRR shows that collective scientific voice can matter. This is more than a case study. It’s a reminder that evidence-based policy needs evidence-based politics, and scientists willing to speak up. (Of course, “evidence-based” doesn’t mean all scientists will always agree. But on many issues, like the urgency of biodiversity restoration or the risks of pesticide overuse, there is strong consensus that deserves more serious political attention. At the very least, democratic politics should take better stock of the best available science.) Highly recommended reading for anyone working on sustainability, #foodsystems, or environmental governance. https://lnkd.in/eB_BeYxs