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X-ORIGINAL-URL:https://test.whatworksclimate.solutions
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DTSTART:20240331T010000
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DTSTART:20241027T010000
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BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20240611T153000
DTEND;TZID=Europe/Berlin:20240611T170000
DTSTAMP:20260908T123939
CREATED:20240508T111416Z
LAST-MODIFIED:20240508T111416Z
UID:10000137-1718119800-1718125200@test.whatworksclimate.solutions
SUMMARY:What is the state of evidence on SDG 13 outcomes in low- and middle-income countries?
DESCRIPTION:The Sustainable Development Goals (SDGs) provide the organising agenda for global development\, with SDG 13 in particular calling for climate action. While developed countries bear primary responsibility for the climate crisis\, climate change is potentially devastating for low- and middle-income countries (L&MICs). There is a need for rigorous evidence about which programmes and policies are most effective in achieving SDG13 targets in L&MICs. The Development Evidence Portal (DEP)\, maintained by the International Initiative for Impact Evaluation\, is a database that gathers such evidence in the form of impact evaluations and systematic reviews focused on L&MICs. \nWe analyse data from the DEP to answer the following question: What is the state of the evidence base for planet-focused SDGs—particularly SDG 13—and where are the gaps in the evidence? Understanding the state of the evidence can help policymakers find relevant evidence to inform decisions\, and can guide the research community in filling key evidence gaps. \nWe find there has been surprisingly few rigorous evaluations assessing impact of climate-related interventions on L&MICs\, with the notable exception of studies on Chinese environmental policy. The number of China-focused evaluations measuring SDG 13 outcomes in 2022 alone (n = 286) exceeds the number of evaluations focused on all other L&MICs combined since 1990 (n = 154). The situation is similar for SDGs targeting sustainable cities (SDG 11) and responsible consumption/production (SDG 12). Evidence bases for SDGs focused on life below water and on land (SDGs 14-15) are very limited. \nWe call for renewed efforts to apply rigorous evaluation methods to climate-related policies and to measure key SDG 13 indicators in L&MICs. To fill this large evidence gap\, we will need innovative\, low-cost evaluation methods using remote sensing and non-randomized designs.
URL:https://test.whatworksclimate.solutions/presentation/what-is-the-state-of-evidence-on-sdg-13-outcomes-in-low-and-middle-income-countries/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20240611T153000
DTEND;TZID=Europe/Berlin:20240611T170000
DTSTAMP:20260908T123939
CREATED:20240508T111300Z
LAST-MODIFIED:20240508T111300Z
UID:10000136-1718119800-1718125200@test.whatworksclimate.solutions
SUMMARY:What is effective adaptation in the context of the Global Goal on Adaptation
DESCRIPTION:Assessment of the effectiveness of adaptation featured in several sections of the IPCC Sixth Assessment Reports. However\, the main challenge still exists in defining effective adaptation\, given the context- and region-specific characteristics of adaptation. With the recent global adaptation targets adopted at COP28 in the global goal on adaptation (GGA) framework\, establishing the guiding principles and conceptual framework that assess the effectiveness of adaptation in the context of GGA is critical for successful tracking of progress of the GGA targets implementation. To develop the conceptual framework\, we are undertaking a systematic review and synthesis of evidence from scientific literature. This framework will be applied to synthesise evidence of human adaptation from a variety of sources\, including scientific literature\, UN reports\, other technical reports and government documents\, and reporting to the UNFCCC with the aim for tracking adaptation progress. We will present the synthesis of adaptation information to provide evidence of a pool of effective adaptation options that can contribute to achieving GGA targets. Thus\, the synthesis results inform the frontline organisations and governments on effective adaptation for achieving GGA targets. This work is also important in informing the IPCC’s Seventh Assessment Cycle\, given that countries have agreed to update the IPCC’s 1994 guidelines on climate adaptation\, vulnerability\, and impacts assessment. The results of the work provide input for the review of the GGA framework for further work needed in the context of the temperature goal and global adaptation goal expressed in the Paris Agreement.
URL:https://test.whatworksclimate.solutions/presentation/what-is-effective-adaptation-in-the-context-of-the-global-goal-on-adaptation/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20240611T153000
DTEND;TZID=Europe/Berlin:20240611T170000
DTSTAMP:20260908T123939
CREATED:20240508T111154Z
LAST-MODIFIED:20240508T111154Z
UID:10000135-1718119800-1718125200@test.whatworksclimate.solutions
SUMMARY:Nature based solutions: an evidenced-based hype? A systematic review of the effectiveness of adaptation interventions in agricultural and coastal sectors
DESCRIPTION:The global evidence-base on the effectiveness of climate change adaptation interventions in low- and middle-income countries (LMICs) has been rapidly growing in recent years\, particularly in the agricultural and coastal sectors. This paper presentation addresses the question of whether results are consistent across pre-defined types of interventions\, outcomes and sectors using a systematic review of 363 empirical observations published in the scientific literature. Results show that nature-based solutions (NbS) have the strongest positive effects for both the coastal and agricultural sectors. In the coastal sector\, NbS contribute to reduce the risk of climate-related shocks and stressors\, while in the agricultural sector\, they enhance adaptive capacity (i.e.\, specifically the provision of economic benefits). Informational and infrastructure interventions also exhibit positive effects in the agricultural sector. Social/behavioural interventions in the coastal sector show particularly negative effects. Taken together\, our results highlight the opportunity for development and climate adaptation practitioners to promote co-benefits beyond risk reduction\, particularly in the case of NbS.
URL:https://test.whatworksclimate.solutions/presentation/nature-based-solutions-an-evidenced-based-hype-a-systematic-review-of-the-effectiveness-of-adaptation-interventions-in-agricultural-and-coastal-sectors/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20240611T153000
DTEND;TZID=Europe/Berlin:20240611T170000
DTSTAMP:20260908T123939
CREATED:20240508T092000Z
LAST-MODIFIED:20240508T092000Z
UID:10000080-1718119800-1718125200@test.whatworksclimate.solutions
SUMMARY:Mixed Methods Synthesis to Evaluate Coordination of Community and Climate Actor Just Transition Priorities
DESCRIPTION:Large scale\, complex problems like climate change require inter-institutional coordination and partnership to produce holistic\, comprehensive solutions. As climate actors agree upon the need to ensure that sustainability transitions take place as “Just Transitions” they must reckon with how to operationalize subjective concepts like “justice” in their sustainability plans. The globalized nature of these transitions\, however\, often produces impacts in other countries and continents. Battery storage systems constructed to support renewable energy development California\, for instance\, may increase environmental impacts on Latin American mineral mining communities. It is necessary that climate policy actors understand and are aligned with affected communities’ individual conceptualizations of justice. This presentation discusses a qualitative synthesis method that supports operationalization and coordination of these subjective concepts and quantitative transformation of findings to evaluate policy plans and frameworks.\nThe methodology is applied to a regional analysis of non-academic Just Transition framework priorities from 75 global actors comprising of NGOs\, governments\, multilateral institutions\, development banks\, think tanks\, and private enterprises. Organizations are categorized into two regions (Anglo-European and non-Anglo-European) to permit analysis of regional coordination between the groups’ conceptualizations. An emergent thematic coding approach distills each organization’s Just Transition conceptualization into individual Just Transition Concepts. A composite scoring method measures the presence of each concept among the frameworks in the two regions and is sorted to identify each region’s highest and lowest priorities. To illustrate regional framework coordination with community priorities\, qualitative data from frontline communities in La Guajira\, Colombia is transformed to match the language of the Just Transition Concepts. Comparison of community and framework priorities identifies areas of (mis)alignment between policy actors and communities. Just Transition frameworks from all regions are found to largely overlook community priorities of addressing local corruption\, mitigation of community conflict\, and support for community interconnection to promote a Just transition.
URL:https://test.whatworksclimate.solutions/presentation/mixed-methods-synthesis-to-evaluate-coordination-of-community-and-climate-actor-just-transition-priorities/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20240611T153000
DTEND;TZID=Europe/Berlin:20240611T170000
DTSTAMP:20260908T123939
CREATED:20240508T091853Z
LAST-MODIFIED:20240508T091853Z
UID:10000079-1718119800-1718125200@test.whatworksclimate.solutions
SUMMARY:Just transitions and Green New Deals: concept synthesis of the qualitative literature
DESCRIPTION:Global discourses surrounding the low-carbon transition increasingly feature calls for equity and justice. Momentum behind just transition principles is growing\, evolving significantly from their introduction by U.S. trade unions in the 1980s. Recently\, just transition principles have begun shaping policies and governance strategies internationally. Some approaches focus narrowly on worker protections in industries undergoing structural change (e.g.\, fossil fuel extraction)\, while others take a more macro-transformative approach (e.g.\, the U.S. Green New Deal and EU Green Deal) with broader social agendas. The concept has also been adopted by a range of development and social actors\, and notably featured in the phase-out centered JETP investments for South Africa\, Indonesia\, and Vietnam. Meanwhile\, calls for a just transition are spreading to other decarbonizing sectors (including agriculture and food systems\, waste and recycling\, construction\, and transportation). The proliferation of these concepts in recent years requires careful study to understand how new and competing interpretations inform development of socially just climate policy. This paper will map and compare the usage of just transitions\, Green New Deals\, inclusive green growth\, and related emerging concepts across the literature. Using qualitative analysis methods\, we code for various aspects\, including concept definitions (consisting of motivation\, process\, and outcomes) and frameworks proposed by different actors as well as policies and governance strategies tied to just transitions (including public support for energy transition policies). Relative to prior reviews of these concepts\, our review contributes the most thorough and updated mapping of the literature\, comparing conceptual framings across disciplines\, actor interests and perspectives\, and just transition policy efforts.
URL:https://test.whatworksclimate.solutions/presentation/just-transitions-and-green-new-deals-concept-synthesis-of-the-qualitative-literature/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20240611T153000
DTEND;TZID=Europe/Berlin:20240611T170000
DTSTAMP:20260908T123939
CREATED:20240508T091748Z
LAST-MODIFIED:20240508T091748Z
UID:10000078-1718119800-1718125200@test.whatworksclimate.solutions
SUMMARY:A systematic mixed-methods review of public perceptions on carbon dioxide removal
DESCRIPTION:Carbon dioxide removal (CDR) is a critical component of strategies to limit global warming to well below 2°C. Development and deployment of CDR methods will be crucial in the next decades as CDR needs to be scaled to several gigatonnes by mid-century. How CDR is perceived will play a vital role for this process\, as it can support\, hinder and inform large-scale implementation. Here\, we conduct a first systematic review of the literature on perceptions\, attitudes and opinions on CDR. We extend previous reviews by (1) comprehensively searching the literature using a transparent and reproducible study selection strategy enhanced with machine-learning\, (2) systematically assessing the available evidence using a mixed-methods approach with meta-analysis and qualitative synthesis\, and (3) also including perceptions of stakeholder groups such as CDR adopters or experts\, who are critical for technology scale-up.\nWe find that more than half of the identified 165 articles on CDR perceptions focuses on particular stakeholder groups\, while the other half is on general populations – often using surveys on nationally representative samples. The literature is highly concentrated on high-income countries. Quantitative studies find low levels of public awareness on CDR and investigate a variety of outcomes\, with the most frequent being acceptance and support for CDR. These perceptions are influenced by perceived advantages and risks of technologies\, subjective knowledge and trust in governance. A meta-analysis provides estimates of average effects of these factors on support. Our synthesis of qualitative studies further shows how context dependent the influence of factors are. This talk will focus on the mixed-methods approach applied in our review as part of the session “Qualitative evidence synthesis: contemporary approaches in climate policy research”.
URL:https://test.whatworksclimate.solutions/presentation/a-systematic-mixed-methods-review-of-public-perceptions-on-carbon-dioxide-removal/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20240611T153000
DTEND;TZID=Europe/Berlin:20240611T170000
DTSTAMP:20260908T123939
CREATED:20240508T091639Z
LAST-MODIFIED:20240508T091639Z
UID:10000077-1718119800-1718125200@test.whatworksclimate.solutions
SUMMARY:Applying Qualitative Synthesis Methods in Environment and Development: Challenges and Lessons Learned
DESCRIPTION:Systematic reviews\, renowned for their explicit methodologies in identifying\, appraising\, analyzing\, and synthesizing study findings\, have played a crucial role in shaping research\, policy\, and practice across various sectors\, from health to international development and environmental management. In the realm of environmental and development research\, the unique complexities and nature of these fields have led to the growing recognition of qualitative approaches to evidence synthesis. These approaches can offer valuable insights into subjective experiences or contribute to a deeper understanding of (implementation) context\, intervention feasibility\, acceptance\, appropriateness\, unintended consequences\, and similar. \nIn this presentation\, we aim to provide an overview of the challenges and lessons learned from our experiences with multi-context thematic and framework syntheses conducted in the fields of environment and development. We will delve into the practical and methodological challenges encountered at each stage of the qualitative review process\, including question formulation\, study identification and screening\, quality appraisal\, coding\, and synthesis. These challenges include\, among others\, managing the iterative review process\, subjectivity\, and interpretation\, grappling with the diversity of study types and designs\, and navigating a multitude of study settings. Finally\, we will offer valuable insights and practical suggestions to guide future qualitative syntheses in the field.
URL:https://test.whatworksclimate.solutions/presentation/applying-qualitative-synthesis-methods-in-environment-and-development-challenges-and-lessons-learned/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20240611T153000
DTEND;TZID=Europe/Berlin:20240611T170000
DTSTAMP:20260908T123939
CREATED:20240508T091502Z
LAST-MODIFIED:20240508T091502Z
UID:10000076-1718119800-1718125200@test.whatworksclimate.solutions
SUMMARY:Managing expectations in the application of quality and strength of evidence assessments in qualitative synthesis
DESCRIPTION:Approaches to assessing the strengths and limitations of qualitative studies included in evidence syntheses continue to be discussed in the synthesis community (e.g.\, Garside 2014\, Noyes et al. 2023). This presentation discusses such strengths and limitations in the application of evidence quality and confidence in findings assessments we used in a review of food production interventions with a climate change component. \nWe applied the Critical Appraisal Skills Program (CASP) checklist to assess individual papers on the appropriateness of methodology\, study design\, recruitment strategy\, data collection methods\, consideration of researcher’s role and ethical issues\, data analysis\, statement of findings\, and value of research. We applied GRADE-CERQual (Confidence in the Evidence from Reviews of Qualitative Research) to assess the level of confidence in our review findings based on methodological limitations\, coherence\, data adequacy\, and contextual relevance. \nOverall\, evaluations in our study tended to receive lower ratings because they lacked a thorough description of the data analysis process or research ethics considerations\, or failed to acknowledge the potential biases of the researcher or research team. Given the focus of the synthesis (to understand barriers and facilitators to climate adaptive practices in agriculture)\, the potential for evaluations to provide insight into these questions\, and that cutoff points for exclusion are not well established in qualitative evidence synthesis\, we decided not to exclude any evaluations despite considerable variation in CASP ratings. Further\, our application of GRADE-CERQual may have weighted some findings as lower confidence because of these quality ratings in addition to the number of studies that addressed a question. We discuss the merits of these assessments given considerations such as variation in methodological reporting and study questions.
URL:https://test.whatworksclimate.solutions/presentation/managing-expectations-in-the-application-of-quality-and-strength-of-evidence-assessments-in-qualitative-synthesis/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20240611T153000
DTEND;TZID=Europe/Berlin:20240611T170000
DTSTAMP:20260908T123939
CREATED:20240508T085431Z
LAST-MODIFIED:20240508T085431Z
UID:10000065-1718119800-1718125200@test.whatworksclimate.solutions
SUMMARY:Accounting for Sample Overlap in Economics Meta-Analyses: The Generalized-Weights Method in Practice
DESCRIPTION:Meta-analyses in economics frequently exhibit considerable overlap among primary samples. If not addressed\, sample overlap leads to efficiency losses and inflated rates of false positives at\nthe meta-analytical level. Bom and Rachinger (2020) propose a generalized-weights approach to handle sample overlap. This approach effectively approximates the correlation structure between primary estimates using information on sample sizes and overlap degrees in the primary studies. This paper demonstrates the application of the generalized-weights method to economics\nmeta-analyses\, addressing practical challenges that are likely to be encountered. We account for variations in data aggregation levels\, estimation methods\, and effect size metrics\, among other\nissues. We derive explicit covariance formulas for different scenarios\, evaluate the accuracy of the approximations\, and employ Monte Carlo simulations to demonstrate how the method enhances efficiency and restores the false positive rate to its nominal level.
URL:https://test.whatworksclimate.solutions/presentation/accounting-for-sample-overlap-in-economics-meta-analyses-the-generalized-weights-method-in-practice/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20240611T153000
DTEND;TZID=Europe/Berlin:20240611T170000
DTSTAMP:20260908T123939
CREATED:20240508T085327Z
LAST-MODIFIED:20240517T101017Z
UID:10000064-1718119800-1718125200@test.whatworksclimate.solutions
SUMMARY:The Price Elasticity of Heating and Cooling Energy Demand: A Meta-Analysis
DESCRIPTION:We follow a registered pre-analysis plan (\href{https://osf.io/zdche}{https://osf.io/zdche}) to create a large meta-dataset from the international literature on price elasticities of energy demand for heating and cooling of households and businesses. The dataset comprises 442 primary studies with more than 4971 price elasticity estimates\, their standard errors as well as relevant study and observation characteristics. We show that there is substantial publication bias with insignificant or positive elasticities being underreported. Thus\, the simple average of all estimates exaggerates the true short and long-run elasticities. Correcting for this bias\, the price elasticities are much closer to zero\, indicating a weaker effect of energy price rises on heating and cooling energy demand than previously expected.
URL:https://test.whatworksclimate.solutions/presentation/the-price-elasticity-of-heating-and-cooling-energy-demand-a-meta-analysis/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20240611T153000
DTEND;TZID=Europe/Berlin:20240611T170000
DTSTAMP:20260908T123939
CREATED:20240508T085201Z
LAST-MODIFIED:20240517T100919Z
UID:10000063-1718119800-1718125200@test.whatworksclimate.solutions
SUMMARY:State vs market: Do sources of energy price changes matter for demand elasticities?
DESCRIPTION:CO2 pricing via taxes or emission trading schemes (ETS) should create incentives for companies and individuals to reduce their carbon footprint. We exploit a large meta-dataset of price elasticities for heating and cooling energy sources. We compare elasticities from both state-led and market-led changes\, controlling for study-design characteristics. Our working hypothesis is that taxes and ETS have a stronger steering effect than energy price changes stemming from mere market price fluctuations\, in line with (Andersson 2019).
URL:https://test.whatworksclimate.solutions/presentation/state-vs-market-do-sources-of-energy-price-changes-matter-for-demand-elasticities/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20240611T153000
DTEND;TZID=Europe/Berlin:20240611T170000
DTSTAMP:20260908T123939
CREATED:20240508T084946Z
LAST-MODIFIED:20240515T100030Z
UID:10000062-1718119800-1718125200@test.whatworksclimate.solutions
SUMMARY:Spurious Precision in Meta-Analysis of Observational Research
DESCRIPTION:Meta-analysis upweights studies reporting lower standard errors and hence more precision. But in observational settings\, precision is not given to the researcher. Precision must be estimated\, and thus can be p-hacked to achieve statistical significance. Simulations and applications show that spurious precision can invalidate inverse-variance weighting and bias-correction methods based on the funnel\nplot. Selection models fail to solve the problem\, and common cures to publication bias can become worse than the disease. We introduce a novel approach that addresses spuriousness and limits the resulting bias in meta-analysis.
URL:https://test.whatworksclimate.solutions/presentation/spurious-precision-in-meta-analysis-of-observational-research/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20240611T153000
DTEND;TZID=Europe/Berlin:20240611T170000
DTSTAMP:20260908T123939
CREATED:20240508T084809Z
LAST-MODIFIED:20240508T084809Z
UID:10000061-1718119800-1718125200@test.whatworksclimate.solutions
SUMMARY:More Than Half of Statistically Significant Research Findings in the Environmental Sciences are Actually Not
DESCRIPTION:Researchers have incentives to search for and selectively report findings that appear to be statistically significant and/or conform to prior beliefs. Such selective reporting practices\, including p-hacking and publication bias\, can lead to a distorted set of results being published\, potentially undermining the process of knowledge accumulation and evidence-based decision making. We take stock of the state of empirical research in the environmental sciences using 67\,947 statistical tests obtained from 547 meta-analyses. We find that 59% of the p-values that were reported as significant are not actually expected to be statistically significant. The median power of these tests is between 6% to 12%\, which is the lowest yet identified for any discipline. Only 8% of tests are adequately powered with statistical power of 80% or more. Exploratory regressions suggest that increased statistical power and the use of experimental research designs reduce the extent of selective reporting. Differences between subfields can be mostly explained by methodological differences. To improve the environmental sciences evidence base\, researchers should pay more attention to statistical power\, but incentives for selective reporting may remain even with adequate statistical power. Ultimately\, a paradigm shift towards open science is needed to ensure the reliability of published empirical research.
URL:https://test.whatworksclimate.solutions/presentation/more-than-half-of-statistically-significant-research-findings-in-the-environmental-sciences-are-actually-not/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20240611T150000
DTEND;TZID=Europe/Berlin:20240611T163000
DTSTAMP:20260908T123939
CREATED:20240508T111042Z
LAST-MODIFIED:20240508T111042Z
UID:10000134-1718118000-1718123400@test.whatworksclimate.solutions
SUMMARY:Evidence Synthesis of Adaptation Success: Insights from 50 Leading Experts and Implications for Research and Practice
DESCRIPTION:Governments\, organisations\, and communities worldwide are formulating and executing strategies to adapt to climate change. Yet\, how to know if they are going in the right direction? What does “success” in adaptation actually mean? Conversely\, what does failure look like and how can we avoid it? To address these questions\, we develop an evolved theoretical understanding of “adaptation” and “adaptation success”\, drawing from the lived experiences\, professional journeys\, and viewpoints of fifty of the most eminent adaptation experts worldwide. Our study is anchored in the belief that the worldviews and experiences of those who have made substantial scientific and practical contributions to climate adaptation – be it by coining inceptive ideas\, driving political negotiations internationally\, or striving for transformative adaptation on the ground – can provide valuable insights into the current state of the field\, its evolution\, limitations and the pathways forward. To accomplish this\, we conducted fifty semi-structured interviews with researchers and practitioners who have dedicated an average of 19 years to diverse adaptation disciplines and practices. Our selection process prioritised gender balance\, geographic and ethnic diversity\, and disciplinary variety. We reveal a redefined conceptualization of “adaptation” that reflects decades of evolution in understanding and learning\, thereby unearthing significant milestones and insights that helped redefine the term. This evolution is marked by the powerful realisation that there are limits to adaptation\, which carries\, on the one hand\, a sense of failure and frustration and\, on the other\, a renewed sense of urgency and commitment to action. Against this backdrop\, our study also reveals a new collective definition of “adaptation success”\, which embraces these shifting paradigms. By exploring these nuanced understandings of climate adaptation\, our findings offer a compelling narrative that encourages a re-evaluation of current approaches and informs future directions in navigating the continuum between adaptation success and failure.
URL:https://test.whatworksclimate.solutions/presentation/evidence-synthesis-of-adaptation-success-insights-from-50-leading-experts-and-implications-for-research-and-practice/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20240611T140000
DTEND;TZID=Europe/Berlin:20240611T150000
DTSTAMP:20260908T123939
CREATED:20240522T105530Z
LAST-MODIFIED:20240523T065628Z
UID:10000278-1718114400-1718118000@test.whatworksclimate.solutions
SUMMARY:Keynote - Accelerating progress towards the SDGs: insights from the Global SDG Synthesis Coalition
DESCRIPTION:Key messages: \n\nThere will be no sustainable development without solving the climate crisis\, and solving the climate crises will only be successful if broader planetary boundaries are respected and wider development goals are met.\nThe Global SDG Synthesis Coalition is one of the most ambitious attempts to inform an international process with rigorous evidence. It provides a complementary approach to other UN science assessments by IPCC or IPBES that has a huge potential for cross-fertilization.\nThinking about new ways of how the SDG Synthesis Coalition can engage the wider scientific community as well as other UN science assessments might provide opportunities to lift global environmental assessments as well as evidence synthesis to the next level.\n\nFollowed by a panel on Challenges to providing a global evidence base to address societal challenges
URL:https://test.whatworksclimate.solutions/presentation/keynote-tracking-progress-towards-the-sdgs-insights-from-the-global-sdg-synthesis-coalition/
LOCATION:H 0104
CATEGORIES:Keynote
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20240611T140000
DTEND;TZID=Europe/Berlin:20240611T150000
DTSTAMP:20260908T123939
CREATED:20240522T104920Z
LAST-MODIFIED:20240522T104920Z
UID:10000276-1718114400-1718118000@test.whatworksclimate.solutions
SUMMARY:Keynote - The Global Goal on Adaptation and the African Adaptation Acceleration Program
DESCRIPTION:Edith Ofwona Adera is Regional Principal Officer and Lead Coordinator\, Africa Adaptation Acceleration Program (AAAP) at the African Development Bank Group.\nKey messages: \n\nThe global goal on adaptation requires urgent progress on measuring and tracking adaptation\nKey insights from AAAP\nThere is an urgent need to support adaptation action in Africa as well as rigorous evidence on what works\n\nFollowed by a panel on The Global Adaptation Tracking Initiative – challenges & opportunities
URL:https://test.whatworksclimate.solutions/presentation/keynote-the-global-goal-on-adaptation-and-the-african-adaptation-acceleration-program/
LOCATION:H 0104
CATEGORIES:Keynote
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20240611T140000
DTEND;TZID=Europe/Berlin:20240611T150000
DTSTAMP:20260908T123939
CREATED:20240522T104624Z
LAST-MODIFIED:20240522T114849Z
UID:10000275-1718114400-1718118000@test.whatworksclimate.solutions
SUMMARY:Panel -  The Global Adaptation Tracking Initiative – challenges & opportunities
DESCRIPTION:
URL:https://test.whatworksclimate.solutions/presentation/panel-the-global-adaptation-tracking-initiative-challenges-opportunities/
LOCATION:H 0104
CATEGORIES:Panel
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20240611T113000
DTEND;TZID=Europe/Berlin:20240716T130000
DTSTAMP:20260908T123939
CREATED:20240508T080436Z
LAST-MODIFIED:20240508T080436Z
UID:10000037-1718105400-1721134800@test.whatworksclimate.solutions
SUMMARY:Fairness and uncertainty in determining national emission reduction targets
DESCRIPTION:As 2030 approaches and current Nationally Determined Contributions (NDCs) are not sufficient to meet the Paris Agreement climate goals\, setting more stringent national emission reduction targets in 2040 and 2050 become more and more relevant. The basis of these targets\, however\, can be manyfold. In this research\, we present a comprehensive framework to quantify national emission reduction targets by distinguishing and varying three types of considerations. First\, the interpretation of the Paris Agreement and how this boils down to\, for example\, global emissions in 2040: not only in terms of temperature target\, but also involving uncertainty on climate sensitivity and non-CO2 assumptions. Second\, we consider normative decisions: the allocation of global emissions is done using six different effort-sharing allocation rules following different principles of fairness. Third\, socio-economic and technical uncertainties also impact these calculations\, such as population projections and the potential for negative emissions. These considerations and their impact on national emission reduction targets are shown on a new open online tool\, the Carbon Budget Explorer\, facilitating navigation through the effects of each of these considerations. We compare these national emission reduction targets to current NDCs and to cost-optimal model outcomes\, shedding light on the shortcomings and importance of international collaboration in reaching global goals.
URL:https://test.whatworksclimate.solutions/presentation/fairness-and-uncertainty-in-determining-national-emission-reduction-targets/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20240611T113000
DTEND;TZID=Europe/Berlin:20240611T130000
DTSTAMP:20260908T123939
CREATED:20240508T153429Z
LAST-MODIFIED:20240508T153429Z
UID:10000255-1718105400-1718110800@test.whatworksclimate.solutions
SUMMARY:Innovations in Climate Evaluation and Synthesis: Leveraging Remote Sensing and Machine Learning for Climate Solutions
DESCRIPTION:Increased availability of and access to satellite and remotely sensed data have paved the way for innovations in methods and tools for climate evaluation. These have allowed us to observe\, measure\, and evaluate the impact of climate change on humans and ecosystems at a relatively low cost. High-resolution and frequent observations from satellites have facilitated the creation of wide ranging and precise proxy indicators (complementary to traditional on-the-ground measures) to observe environmental outcomes such as carbon emissions\, land use changes\, and vegetation health. The volume of available data has enabled the training of robust machine learning models\, allowing for more accurate classification\, detection\, and prediction tasks in geospatial analysis. \nIn this presentation\, we explore the pivotal role of these innovations in enhancing climate evaluation methodologies and driving informed\, evidence-based decision-making in climate policy. In doing so\, we share an interface called “Remote Sensing Indicators for Development”\, a resource compiling existing literature\, empirical applications\, and guidance on the use of remote sensing and machine learning in evidence generation and synthesis. We showcase the multifaceted ways in which researchers may use this resource in their own work – to further their understanding of the distinctions and the comparability between various remotely sensed indices\, including their advantages and disadvantages\, and to determine which indices may be used for ML-based prediction in regions where data is lacking. This presentation fills a critical knowledge gap by offering a comprehensive resource that explores the spectrum of applications that leverage remote sensing indicators and machine learning in climate evaluation.
URL:https://test.whatworksclimate.solutions/presentation/innovations-in-climate-evaluation-and-synthesis-leveraging-remote-sensing-and-machine-learning-for-climate-solutions/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20240611T113000
DTEND;TZID=Europe/Berlin:20240611T130000
DTSTAMP:20260908T123939
CREATED:20240508T153316Z
LAST-MODIFIED:20240508T153316Z
UID:10000254-1718105400-1718110800@test.whatworksclimate.solutions
SUMMARY:Consistent and replicable estimation of bilateral climate finance
DESCRIPTION:International climate finance is key to achieving the goals of the Paris Agreement. Here we develop a machine learning classifier to identify international climate finance from 2.7 million official development assistance projects between 2000 and 2019\, resulting in a consistent and replicable inventory of 82\,023 bilateral climate finance projects (US$80 billion). Our findings reinforce concerns that the actual numbers may be much lower than current estimates made with Rio markers.
URL:https://test.whatworksclimate.solutions/presentation/consistent-and-replicable-estimation-of-bilateral-climate-finance/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20240611T113000
DTEND;TZID=Europe/Berlin:20240611T130000
DTSTAMP:20260908T123939
CREATED:20240508T153114Z
LAST-MODIFIED:20240508T153114Z
UID:10000252-1718105400-1718110800@test.whatworksclimate.solutions
SUMMARY:Framing Political Communication on Climate Change: A Topic Modeling Analysis of German Governmental Institutions' Press Releases
DESCRIPTION:Beyond designing climate policies\, the communication strategies and storytelling approaches employed by policymakers largely shape public engagement in climate mitigation and adaptation activities. This is due to the fact that communication design impacts the decision-making processes of information recipients\, a phenomenon known as choice architecture\, thereby influencing individual attitudes\, behaviors\, and actions. In an effort to understand the nature and impact of German political climate communications\, this research analyzes climate-related press releases from the German Federal Government (Bundeskanzleramt) and all 15 ministries to uncover key patterns\, narratives\, frames\, and sentiments. A comprehensive text dataset was constructed via scraping the publicly available press releases from the websites of each governmental institution\, in addition to requesting those press release texts per email from the institutions directly in cases of difficulties in scraping or missing documents online. The resulting dataset of press releases for the three-year timeframe 2021-2023 (n = 9707)\, which is limited to the current legislative period\, was then filtered for documents relevant to climate change\, resulting in a final dataset of 3082 documents. Those documents are currently being analyzed using Latent Dirichlet Allocation (LDA) topic modeling\, comparing and contrasting emerging communication patterns between 1) individual political institutions and 2) political parties and stakeholders\, as well as mapping the development of those topics over time. The results are positioned to enable a deeper understanding of the impact of those communications\, promote learning among the various political actors\, and support the improvement of future communication designs to better achieve desired sustainability goals.
URL:https://test.whatworksclimate.solutions/presentation/framing-political-communication-on-climate-change-a-topic-modeling-analysis-of-german-governmental-institutions-press-releases/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20240611T113000
DTEND;TZID=Europe/Berlin:20240611T130000
DTSTAMP:20260908T123939
CREATED:20240508T153016Z
LAST-MODIFIED:20240508T153016Z
UID:10000251-1718105400-1718110800@test.whatworksclimate.solutions
SUMMARY:Mapping the Climate Literature
DESCRIPTION:Synthesis reports\, such as those by the IPCC\, aim to faithfully provide a complete overview of the entire scientific landscape on climate change. However\, the sheer amount of literature on climate-relevant topics is massive and\, at the same time\, is growing exponentially each year. Therefore\, authors of such reports often rely on existing maps\, reviews\, and meta-analyses.\nHere\, we provide an analysis of the coverage of the literature on climate change by the IPCC. To do so\, we identify synthesis articles cited in IPCC reports and compose a corpus of primary literature these cited articles based their analysis on. We explore the breadth and depth of topics this literature covers and compare the overlap to existing maps of the climate literature and results from queries in scholarly search engines using a comprehensive list of climate-relevant keywords.\nWe aim to show that this methodology can identify potential gaps in the coverage of large-scale synthesis reports to improve future iterations.
URL:https://test.whatworksclimate.solutions/presentation/mapping-the-climate-literature/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20240611T113000
DTEND;TZID=Europe/Berlin:20240611T130000
DTSTAMP:20260908T123939
CREATED:20240508T152912Z
LAST-MODIFIED:20240508T152912Z
UID:10000250-1718105400-1718110800@test.whatworksclimate.solutions
SUMMARY:ChatNetZero: Harnessing Large-Language Models for Synthesizing Evidence to Evaluate Non-State Actors' Climate Actions
DESCRIPTION:Large language models (LLMs) that power generative AI technologies like ChatGPT and Bard can analyze vasts amounts of textual data to generate easy to understand insights in human prose. But these technologies have also been demonstrated to hallucinate\, generating convincing but false answers; prone to bias\, and difficult to unpack due to the “black box” nature of their underlying models. Particularly with respect to complex domain-specific issues like climate change\, generic LLMs have been demonstrated to produce questionable and often inaccurate interpretations\, highlighting the need for specialized models or fine-tuning to ensure reliable insights and informed analyses. Specifically\, addressing the challenge of parsing and evaluating climate actions by corporations and other non-state actors\, which can range from greenwashing to mere window dressing\, proves challenging due to the heterogeneous nature and time-consuming process of assessing diverse documents. Here we introduce ChatNetZero\, a fine-tuned LLM\, trained on verified analyses and third-party\, scientific assessments of non-state climate actions and policies\, to demonstrate the potential and limitations of utilizing LLMs and generative AI more broadly as an evidence synthesis tool. We will introduce the methodology\, highlight specific use cases\, and share validation metrics for ChatNetZero’s frameworks addressing hallucination and greenwashing\, employing human-in-the-loop validation and perplexity testing.
URL:https://test.whatworksclimate.solutions/presentation/chatnetzero-harnessing-large-language-models-for-synthesizing-evidence-to-evaluate-non-state-actors-climate-actions/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20240611T113000
DTEND;TZID=Europe/Berlin:20240611T130000
DTSTAMP:20260908T123939
CREATED:20240508T151035Z
LAST-MODIFIED:20240508T151035Z
UID:10000237-1718105400-1718110800@test.whatworksclimate.solutions
SUMMARY:Policy portfolios can reduce GHG emissions in urban transport in 120 cities by 20% while improving welfare
DESCRIPTION:City-level policies are increasingly recognized as key components of strategies to reduce transport greenhouse gas emissions. However\, at a global scale\, their total efficiencies\, costs and practical feasibility remain unclear. Here we use a spatially explicit monocentric urban economic model\, systematically calibrated on 120 cities worldwide\, to analyse the impact of four representative policies aimed at mitigating transportation greenhouse gas emissions\, also accounting for their economic welfare impacts and health co-benefits. Applying these policies in all cities\, we find that total transportation greenhouse gas emissions can be reduced by 31% in 15 years\, compared with the baseline scenario. However\, the consequences of the same policies vary widely between cities\, with specific effects depending on the policy considered\, income level\, population growth rate\, spatial organization and existing public transport supply. Impacts on transport emissions span from high to almost zero\, and consequences in terms of welfare can either be positive or negative. Applying welfare-increasing policy portfolios captures most of the emission reductions: overall\, they reduce emissions by 22% in 15 years. Our results highlight that there is no one-size-fits-all policy. However\, with context-specific strategies\, large emission reductions can globally be achieved while improving welfare.
URL:https://test.whatworksclimate.solutions/presentation/policy-portfolios-can-reduce-ghg-emissions-in-urban-transport-in-120-cities-by-20-while-improving-welfare/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20240611T113000
DTEND;TZID=Europe/Berlin:20240611T130000
DTSTAMP:20260908T123939
CREATED:20240508T150921Z
LAST-MODIFIED:20240508T150921Z
UID:10000236-1718105400-1718110800@test.whatworksclimate.solutions
SUMMARY:Designing policies to enable equitable and beneficial electrification in the U.S.
DESCRIPTION:Electrifying household energy use is a key policy lever for addressing the climate crisis. However\, there are many challenges to designing policies to promote beneficial electrification that reduces greenhouse gas emissions while also advancing health\, equity\, and affordability goals. This research focuses on the case of the United States\, where one billion household machines – from cars to furnaces to stoves – currently run on fossil fuels. Additionally\, one in three U.S. households report difficulty paying their energy bills\, and low-income households may be less likely to adopt new technologies. New policies such as the Inflation Reduction Act provide opportunities to address these inequities but may exacerbate them without careful implementation. \nHere we focus on the electrification challenge in U.S. cities. We begin with a detailed case study of Massachusetts\, a leader in state and local climate action that faces multiple electrification challenges\, including aging fossil fuel infrastructure and high demand for home heating. We use this case explore the effects of local policy actions to reduce methane emissions from natural gas systems while simultaneously advancing net zero and electrification goals. Our analysis combines engineering and infrastructure models\, household property data\, document and legal analysis\, and qualitative interviews to characterize inequities in electrification and the effects of fossil fuel stranded assets on low-income communities. \nWe then extend this analysis beyond Massachusetts to examine electrification challenges across the United States. We find evidence of inequities in access to a key electrification technology\, air source heat pumps\, across low-income and minority communities – and show that uncoordinated policies could result in substantial increases in energy bills for households that cannot electrify. We then discuss innovative community electrification solutions that can enable cities to simultaneously promote equity and climate goals.
URL:https://test.whatworksclimate.solutions/presentation/designing-policies-to-enable-equitable-and-beneficial-electrification-in-the-u-s/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20240611T113000
DTEND;TZID=Europe/Berlin:20240611T130000
DTSTAMP:20260908T123939
CREATED:20240508T150815Z
LAST-MODIFIED:20240508T150815Z
UID:10000235-1718105400-1718110800@test.whatworksclimate.solutions
SUMMARY:Neighborhood-Scale Building Decarbonization: A Strategy for Eliminating Emissions from the Built Environment to Meet Our Climate Goals
DESCRIPTION:Credible\, at-scale solutions for eliminating emissions from buildings are still in their infancy. Building decarbonization was cited only once—in a footnote—in the IPCC 6th assessment. However\, attention to building decarbonization among policymakers and private sector practitioners is growing\, especially in the U.S. This focus is necessary\, as we need to decarbonize buildings to achieve local\, national\, and international climate goals. In the U.S.\, the built environment accounts for approx. 35% of economy-wide emissions. \nNew movements can pose an evidence synthesis challenge. Lack of published research\, a steep learning curve\, and a tendency to ignore relevant historical precedents can constrain the theory of change for the movement. The Building Decarbonization Coalition (BDC) addresses these gaps by drawing together a broad coalition of stakeholders to create and share knowledge. BDC’s membership consists of nearly 400 entities—ranging from multinational corporations like Daikin and Rheem to municipal governments\, utilities\, and individual practitioners—who are united in their commitment to reducing and eliminating emissions from the built environment. \nAt the What Works Climate Solutions Summit\, we seek to present our findings from a trailblazing new investigation into neighborhood-scale building decarbonization\, which is a set of tactics for transitioning thousands of buildings off the methane gas distribution network at once\, instead of relying on millions of individual consumers to independently decide to electrify their equipment. We’ve interviewed hundreds of knowledgeable stakeholders across the U.S. to gather and synthesize information that cannot be found in a Google search or academic journal. We have also combed through extensive regulatory proceedings\, legislative agendas\, and gas company records to surface key insights that have been buried in bureaucracy. We are excited to share these findings with the international climate community so that we can build on this knowledge to evolve our strategy from neighborhood scale to planetary scale.
URL:https://test.whatworksclimate.solutions/presentation/neighborhood-scale-building-decarbonization-a-strategy-for-eliminating-emissions-from-the-built-environment-to-meet-our-climate-goals/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20240611T113000
DTEND;TZID=Europe/Berlin:20240611T130000
DTSTAMP:20260908T123939
CREATED:20240508T150704Z
LAST-MODIFIED:20240508T150704Z
UID:10000234-1718105400-1718110800@test.whatworksclimate.solutions
SUMMARY:Fuel Economy Standards and Public Transport
DESCRIPTION:Corporate average fuel economy (CAFE) standards are a major environmental policy measure in both the EU and US. They require car producers to reach a fleet-wide level of average fuel efficiency. To design effective and efficient climate policies for the transport sector\, it is important to understand the relevant channels of fuel economy standards on welfare and emissions. The main focus in the conventional literature is on the welfare cost of compliance occurring in the automobile market from adjusting engine technology\, car features and pricing schedules. But fuel economy standards also reduce the marginal cost of driving and thus provide an incentive for households to switch their transport mode more often away from public transport to individual driving. By considering these shifting mode choices and their interactions with the urban form\, we identify and examine a new channel of fuel economy standards on welfare and emissions. To this end\, we incorporate public transport\, mode choice and vehicle choice into a monocentric city model that we calibrate with empirically justified parameters and solve numerically.\nOn the one hand\, fuel economy standards\, on average\, increase vehicle purchase costs. On the other hand\, they reduce the marginal cost of driving and\, thus\, provide an incentive for households to switch their transport mode choice more often away from public transport to individual driving. This causes additional carbon emissions and undermines the climate policy goals. Since the variable and fixed costs of the transit system must be covered by fewer passengers\, ticket prices rise endogenously\, making public transport use less attractive. The resulting feedback loop additionally exacerbates the mode switching behavior towards individual driving and the corresponding increase in emissions. We find welfare costs of 1056US$ p.p.p.a. for a 50% emission reduction considering mode choice\, vehicle choice\, ticket prices and adjustment of the urban form.
URL:https://test.whatworksclimate.solutions/presentation/fuel-economy-standards-and-public-transport/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20240611T113000
DTEND;TZID=Europe/Berlin:20240611T130000
DTSTAMP:20260908T123939
CREATED:20240508T150553Z
LAST-MODIFIED:20240508T150553Z
UID:10000233-1718105400-1718110800@test.whatworksclimate.solutions
SUMMARY:Charging ahead: Firm-level optimisation strategies for sustainable and cost-effective electric vehicle workplace charging
DESCRIPTION:Decarbonising the transportation sector is forecasted to result in a substantial increase in total electricity demand\, mainly incurred from charging electric vehicles (EVs). In an effort to reduce scope 3 emissions\, firms are building up extensive workplace charging infrastructure to encourage employees’ update of EVs. However\, many businesses tend to underestimate the impact of EV charging loads on the site’s overall electricity consumption profile at scale. In this paper we present the results of a case study which was carried out between the Oxford Sustainable Development Goals (SDGs) Impact Lab and a global car manufacturing firm with a large production site in southern Oxford\, UK. Drawing from Operations Research methods\, we compute quantitative estimates of sustainable (CO2 minimal) and cost-effective charging strategies by comparatively assessing the value of smart and bidirectional (V2X) charging\, benchmarked against the case of uncontrolled (dumb) charging. We found that smart- and bidirectional charging can reduce peak demand by -45% and -21%\, respectively. Moreover\, implementing a CO2-minimal charging strategy leads to -32% lower emissions while generating overall cost savings of -0.12 £/kWh. Our results demonstrate that the use of digital technologies at different application levels\, ranging from foundational optimisation algorithms to user-facing consumer apps as means to collect minimum battery state-of-charge (SoC) preferences\, offers substantial value in monetary and environmental terms. Drawing from this case study based on real-world empirical data\, we anticipate more businesses to follow suit by actively considering the implementation of digital software solutions for managing EV charging loads as equal counterpart to the rollout of charging hardware infrastructure. Moreover\, our study serves as blueprint for policymakers to incentivise firms and individuals to adopt digital technologies when managing EV workplace charging cycles which\, at scale\, facilitates the integration of renewable energy into the grid while simultaneously decreasing the need for substantial grid expansion.
URL:https://test.whatworksclimate.solutions/presentation/charging-ahead-firm-level-optimisation-strategies-for-sustainable-and-cost-effective-electric-vehicle-workplace-charging/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20240611T113000
DTEND;TZID=Europe/Berlin:20240611T130000
DTSTAMP:20260908T123939
CREATED:20240508T150435Z
LAST-MODIFIED:20240508T150435Z
UID:10000232-1718105400-1718110800@test.whatworksclimate.solutions
SUMMARY:A Graph Neural Network Approach to Citywide Cycling Infrastructure Prioritization
DESCRIPTION:Increasing the share of cycling in urban areas has many benefits. Cycling improves the quality of life by reducing noise and air pollution\, improves individual health and\, most importantly\, reduces greenhouse gas emissions. The most important lever for promoting cycling is the improvement of cycling infrastructure. However\, public opinion is often deeply divided\, especially when it comes to allocating scarce resources\, such as funding and space\, between motorized traffic and cycling. Bridging this divide requires a nuanced approach to synthesizing evidence-based evidence for policymakers. To this end\, we seek to provide decision-makers with accurate citywide estimates of bicycle volumes that indicate areas where prioritized bicycle infrastructure improvements would be most beneficial.\nThe city of Berlin currently monitors bicycle movement at a mere 20 locations. We extrapolate cycling volumes from these locations to the entire cityscape at the street level\, using newly available data and state-of-the-art machine learning algorithms. In addition to infrastructure and weather indicators\, we use data from Strava\, a crowdsourced platform that allows users to track cycling activity. Across multiple publications\, Strava data is a promising indicator of overall cycling and is particularly useful because it provides street-level information. We combine this data with graph neural networks. This machine learning technique is particularly suited for extrapolating motorized traffic volumes\, as it is adept at capturing spatial and temporal dependencies and thereby captures the dependency dynamics of traffic data ideally.\nOur research is the first foray into harnessing the computational power of graph neural networks to extrapolate citywide bicycle volumes. Our work is currently still at an early stage\, but the positive initial results suggest that leveraging graph neural networks for estimating citywide bicycle volumes outperforms various baselines and has the potential to significantly inform evidence-based decisions on where to prioritize cycling infrastructure improvements in urban areas.
URL:https://test.whatworksclimate.solutions/presentation/a-graph-neural-network-approach-to-citywide-cycling-infrastructure-prioritization/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20240611T113000
DTEND;TZID=Europe/Berlin:20240611T130000
DTSTAMP:20260908T123939
CREATED:20240508T143019Z
LAST-MODIFIED:20240508T143019Z
UID:10000221-1718105400-1718110800@test.whatworksclimate.solutions
SUMMARY:Impact of Climate Change on Child Outcomes: An Evidence Gap Map Review
DESCRIPTION:Background: Despite their minimal contribution to greenhouse gases\, climate change significantly affects children. This review aims to provide a comprehensive overview of the current evidence on the impact of climate change on child health\, utilizing the Evidence Gap Map (EGM) to address knowledge gaps and establish a foundation for evidence-based interventions.\nMethod: This INPLASY-registered study adhered to Campbell Collaboration standards\, creating an EGM on the impact of climate on child health. From inception to the present\, we systematically identified global studies involving children aged 0-5 through database searches (Medline\, EMBASE\, Global Health\, CINAHL\, and Scopus). COVIDENCE facilitated a rigorous screening process\, and critical appraisal was conducted. Eligible studies underwent coding and extraction using Evidence for Policy and Practice Information (EPPI) reviewer software. The EGM construction employed EPPI Mapper\, presenting comprehensive findings through tables and figures.\nResult: From 11\,446 initial articles \, 196 underwent rigorous analysis\, revealing commendable methodological rigour. This study included 59.2% children and 40.8% neonates\, with diverse approaches\, including 94% quantitative studies. A notable trend is the surge in research over the past five years\, aligning with the increasing severity of extreme climate events. Disparities revealed a substantial concentration of extreme heat. Key outcomes comprised preterm birth (55 studies)\, low birth weight (27 studies)\, neonatal mortality\, malnutrition (59 studies)\, respiratory and diarrheal diseases (28 studies)\, mental health problems\, and child mortality.\nConclusion: This EGM is a crucial tool for researchers\, policymakers\, and practitioners\, highlighting knowledge gaps and guiding future research to address the evolving threats of climate change to global child health.
URL:https://test.whatworksclimate.solutions/presentation/impact-of-climate-change-on-child-outcomes-an-evidence-gap-map-review/
END:VEVENT
END:VCALENDAR