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X-WR-CALDESC:Events for What Works
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TZID:Europe/Berlin
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TZNAME:CEST
DTSTART:20240331T010000
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TZOFFSETFROM:+0200
TZOFFSETTO:+0100
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DTSTART:20241027T010000
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BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20240611T153000
DTEND;TZID=Europe/Berlin:20240611T170000
DTSTAMP:20260908T215729
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:20260908T215729
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:20260908T215729
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:20260908T215729
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:20260908T215729
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:20260908T215729
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:20260908T215729
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:20260908T215729
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:20260908T215729
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:20260908T215729
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:20260908T215729
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:20260908T215729
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:20260908T215729
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:20260908T215729
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:20260908T215729
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:20260908T215729
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:20260908T215729
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:20260908T215729
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
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20240611T113000
DTEND;TZID=Europe/Berlin:20240611T130000
DTSTAMP:20260908T215729
CREATED:20240508T142910Z
LAST-MODIFIED:20240508T142910Z
UID:10000220-1718105400-1718110800@test.whatworksclimate.solutions
SUMMARY:Climate change and human health in South Asia: systematic mapping and evidence gap map to inform research priority-setting exercise
DESCRIPTION:Climate change is predicted to be the defining phenomenon of this century with substantial effect on health expected in South Asia- the most populous region in the world\, where impacts of climate change are projected to be most deleterious. To inform a research priority setting(RPS) exercise in India\, we aim to understand the status of empirical evidence on climate change in South Asia and health and identify research gaps.\nWe searched 5 electronic databases\, contacted experts and screened reference lists to identify studies and categorise them into research on 1. health impacts of climate change. 2. interventions to protect health from climate change. 3. climate change adaptation and mitigation efforts which target health risks specifically or as co-benefits. 4. policy\, governance\, and decision-making tools. 5. adaptation or development of tools and frameworks. We developed evidence gap maps for category 1\, 2 and 3 with outcomes classified into ten categories spanning the following types- environmental and sustainability\, human health \, and socio-economic.\nWe retrieved 7273 studies out of which after removing duplicates 6628 titles and abstracts were screened to identify 614 articles for full text evaluation. Full text evaluation is undergoing but the study as well as the accompanying RPS will be completed by the summit. We will present not only the results of the study but also our learnings in its use in RPS exercise to identify additional research questions as well as ratings for the RPS process which is nimble but would involve a wide group of stakeholders\, including people.
URL:https://test.whatworksclimate.solutions/presentation/climate-change-and-human-health-in-south-asia-systematic-mapping-and-evidence-gap-map-to-inform-research-priority-setting-exercise/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20240611T113000
DTEND;TZID=Europe/Berlin:20240611T130000
DTSTAMP:20260908T215729
CREATED:20240508T142812Z
LAST-MODIFIED:20240508T142812Z
UID:10000219-1718105400-1718110800@test.whatworksclimate.solutions
SUMMARY:Mapping the evidence of novel plant-based foods: A systematic review of nutritional\, health\, and environmental impacts in high-income countries
DESCRIPTION:Background: Shifting from current dietary patterns to diets rich in plant-based PB) foods and lower in animal-based foods (ABF) is generally regarded as a suitable strategy to improve nutritional health and reduce environmental impacts. Despite the recent growth in supply and demand of novel plant-based foods (NPBF)\, a comprehensive overview is lacking. Objectives: The aim of this review is to synthesise available evidence\, highlight challenges\, inform public health and environmental strategies and inform purposeful political decision making\, by systematically searching\, analysing and summarising the literature. Methods: We rigorously searched five peer-reviewed databases and grey literature sources for publications (2016 – 2022) that addressed the nutrient composition\, health effects\, and carbon footprints of NPBF in high-income countries. Results: We identified 57 peer-reviewed and 36 grey literature sources. We observed that NPBF typically have substantially lower environmental impacts than ABF\, but the nutritional contents are complex and varied considerably across brands\, product type and main primary ingredient. In the limited evidence on the health impacts\, shifts from ABF to PB meats were associated with positive health outcomes. However\, for PB drinks it was more mixed\, with some linked to micronutrient deficiencies. Conclusion: If carefully selected\, certain NPBF have the potential to be a healthier and nutrient-rich alternative to ABF\, and typically have lower environmental footprints. More disaggregated categorisation of various types of NPBF would be a helpful step in guiding consumers and key stakeholders to make informed decisions. Recommendations: To enable informed policymaking on the inclusion of NPBF in dietary transitions as part of a wider net-zero and health strategy\, future priorities should include nutritional food standards\, labelling and sub-division/categorisations of NPBF\, as well as short and long-term studies evaluating the health impacts on dietary shifts from ABF to NPBF and standardised environmental impact assessments\, ideally from independent funders.
URL:https://test.whatworksclimate.solutions/presentation/mapping-the-evidence-of-novel-plant-based-foods-a-systematic-review-of-nutritional-health-and-environmental-impacts-in-high-income-countries/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20240611T113000
DTEND;TZID=Europe/Berlin:20240611T130000
DTSTAMP:20260908T215729
CREATED:20240508T142710Z
LAST-MODIFIED:20240508T142710Z
UID:10000218-1718105400-1718110800@test.whatworksclimate.solutions
SUMMARY:Database coverage of primary studies included in evidence syntheses on climate-health
DESCRIPTION:Background\nHigh-quality evidence syntheses (ES) on climate-health are vital for policy making. To inform ES search methods it is important to assess the relevance of literature databases for this topic. \nObjectives\nOur aim was to assess the database coverage of a comprehensive set of primary studies included in published ES on climate-health. We investigated their coverage in PubMed and assessed if studies not indexed in PubMed were available in the Global Health database. \nMethods\nWe searched for climate-health related ES in MEDLINE\, Embase\, CINAHL\, Cochrane Library and ProQuest Dissertations and Theses in February 2021. The search yielded 8614 records after deduplication. 110 climate-health related ES were identified. We extracted all primary studies from the first 79 ES\, sorted by number of included studies. As climate change impacts human health via several pathways\, we classified each study according to exposure pathway. We examined the availability of each study in PubMed\, and if this was not the case\, we tested its availability in Global Health. \nResults\nWe extracted 2324 primary studies\, of which 1936 were relevant to a specific climate-health exposure pathway. The range of primary studies available for our analysis per pathway was 73 to 439. For three pathways (air quality\, heat stress\, water quality & quantity) PubMed coverage was very high\, at 91-94%. For another three pathways PubMed coverage was between 81-82% (extreme weather events\, food supply & safety\, vector distribution & ecology). Only the social factors pathway had an exceptionally low PubMed coverage of 40%. Half of the studies not available in PubMed were indexed in the Global Health database. \nConclusions\nPubMed coverage of climate-health primary studies is mostly comprehensive\, with a marked variability between three pathway clusters. Global Health can be recommended as secondary database. For some pathways additional sources are needed to identify all relevant studies.
URL:https://test.whatworksclimate.solutions/presentation/database-coverage-of-primary-studies-included-in-evidence-syntheses-on-climate-health/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20240611T113000
DTEND;TZID=Europe/Berlin:20240611T130000
DTSTAMP:20260908T215729
CREATED:20240508T142553Z
LAST-MODIFIED:20240508T142553Z
UID:10000217-1718105400-1718110800@test.whatworksclimate.solutions
SUMMARY:AI-driven data complementarity to support international researchers in climate\, health\, and agriculture
DESCRIPTION:The potential for AI to support decision making in international development for climate\, health\, agriculture and associated domains is significant\, but the bias within current AI models favour data and use cases from high-income countries means that there is limited potential to satisfy the needs and requirements of users\, data stakeholders and communities in low- and middle-income countries. Elements of AI-driven data complementarity\, where data from one system can be optimised with data from another to produce new and novel knowledge\, offer an opportunity to not only increase the volume\, but also the diversity of data. This is especially important for the integration of data from low- and middle-income country partners\, who may have valuable data to contribute but lack infrastructure and systems to help make the data more widely available to the broader world\, resulting in an imbalance of ideas and innovation. Significant gaps within the data available to AI models impact the way that innovative AI-driven technologies identify existing and emerging challenges and hinder the solutions that are subsequently developed. For instance\, more than 450 organizations across 25 African countries maintain high-quality data-rich research repositories that\, due to outdated infrastructure and limited resources\, keep them from readily contributing to integrated global platforms including climate change guidance and recommendations for policy makers. Similar issues exist across low- and-middle income countries in Asia\, Latin America\, and the Middle East. In this session\, we will discuss new tools an approaches from the Juno Evidence Alliance that try to ensure AI-based analyses and the large-language models (LLMS) integrate diversity of data in ethical\, responsible ways.
URL:https://test.whatworksclimate.solutions/presentation/ai-driven-data-complementarity-to-support-international-researchers-in-climate-health-and-agriculture/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20240611T113000
DTEND;TZID=Europe/Berlin:20240611T130000
DTSTAMP:20260908T215729
CREATED:20240508T093727Z
LAST-MODIFIED:20240508T093727Z
UID:10000090-1718105400-1718110800@test.whatworksclimate.solutions
SUMMARY:An Evidence and Gap Map of the ex-post literature on carbon pricing
DESCRIPTION:After more than 30 years of experience with implemented climate policies and a rapid growth in the scientific literature on these policies\, there is little overview about what policies have been empirically assessed for which policy outcomes. This may lead to duplicated research efforts and hinder rigorous syntheses of available evidence. To identify crucial research gaps and to lead the way towards ecosystems of reviews\, we compile an evidence and gap map focussing on ex-post policy assessments of carbon taxes and emission trading schemes. Preliminary results show that the scientific attention is heavily focussed on emission trading schemes in China and the EU\, while for many of the other 60 carbon pricing schemes the evidence is limited to no or very few scientific publications. We identify large bodies of evidence (>200 publications) which have not yet been synthesised in rigorous systematic reviews for the outcome categories competitiveness of firms and economies\, firm behaviour\, innovation and investment\, as well as price transmission to goods and services. We will provide the evidence and gap map as an interactive tool and accessible database to inform future research and to be used as a source for evidence syntheses on carbon pricing policies.
URL:https://test.whatworksclimate.solutions/presentation/an-evidence-and-gap-map-of-the-ex-post-literature-on-carbon-pricing/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20240611T113000
DTEND;TZID=Europe/Berlin:20240611T130000
DTSTAMP:20260908T215729
CREATED:20240508T093606Z
LAST-MODIFIED:20240508T093606Z
UID:10000089-1718105400-1718110800@test.whatworksclimate.solutions
SUMMARY:How effective were the Chinese regional emissions-trading schemes? A meta-analytic answer
DESCRIPTION:China is by far the largest CO2 emitter in the world and its emissions keep on rising. This makes China the single-most important country to study the effectiveness of national mitigation policies. One key pillar in China’s effort to reach its Paris targets while maintaining rapid economic growth are emissions-trading schemes (ETS). Starting in 2013\, China introduced several regional ETS to inform the introduction of a national ETS. Until the latter was rolled out in 2021\, the regional ETS combined were the second-largest ETS in the world. Utilizing China’s regional ETS as unique quasi-natural experiments\, a large strand of literature has emerged to rigorously study their effectiveness. In this study\, we systematically synthesize the existing evidence from publications written in English and Chinese.\nWhile most studies find that the regional ETS did reduce CO2 emissions\, the estimated magnitude of this effect varies greatly. Synthesizing estimates from more than 60 studies through meta-analysis\, we find that the true effect of the regional pilots under the assumption of no bias would be an overall reduction of around 14% over a period of around five years. This would imply effectiveness similar to what an OECD report estimated for the second phase of the EU-ETS (Dechezleprêtre et al.\, 2018). Worryingly\, there is strong evidence for a small-study effect\, possibly due to publication bias. In order to design future policies\, it is important to account for the possibility of publication bias in primary studies. Doing so leads to more pessimistic expectations of what the Chinese ETS may contribute to climate-change mitigation.
URL:https://test.whatworksclimate.solutions/presentation/how-effective-were-the-chinese-regional-emissions-trading-schemes-a-meta-analytic-answer/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20240611T113000
DTEND;TZID=Europe/Berlin:20240611T130000
DTSTAMP:20260908T215729
CREATED:20240508T093435Z
LAST-MODIFIED:20240508T093435Z
UID:10000088-1718105400-1718110800@test.whatworksclimate.solutions
SUMMARY:Five decades of research on border carbon adjustments – a systematic review of the literature
DESCRIPTION:In a world of nationally determined climate action\, ambitious climate policies in some regions that are not matched by similar efforts in trade partners entail the risk of carbon leakage. Carbon border adjustment mechanisms that impose carbon costs comparable to those of domestic producers are a way to level the playing field and alleviate leakage risks. Such mechanisms have been debated in the academic literature for about 50 years\, but only very recently seen practical implementation in the European Union (EU)\, whose Carbon Border Adjustment Mechanism (CBAM) imposes a price comparable to that applied under the EU Emissions Trading System (EU ETS) on emissions embedded in imports of certain carbon-intensive basic materials\, such as iron and steel. Previous papers have surveyed the literature on carbon border adjustments in a variety of disciplines\, including economics\, legal studies and political science\, with the last comprehensive literature review conducted over a decade ago. We aim to extend and update these contributions by conducting a systematic review of the relevant literature. Based on a keyword search\, we will establish a database of articles to be reviewed. These will be coded to track the evolution of topics addressed in such research and the interest of different scientific communities over time. These insights will then be used to single out major issues on which scholars agree or disagree\, and to identify the underlying reasons for overlapping or conflicting views. Finally\, the systematic review will also help identify remaining research gaps in light of the evolving political debate around BCAs.
URL:https://test.whatworksclimate.solutions/presentation/five-decades-of-research-on-border-carbon-adjustments-a-systematic-review-of-the-literature/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20240611T113000
DTEND;TZID=Europe/Berlin:20240611T130000
DTSTAMP:20260908T215729
CREATED:20240508T093317Z
LAST-MODIFIED:20240521T081213Z
UID:10000087-1718105400-1718110800@test.whatworksclimate.solutions
SUMMARY:The carbon pricing paradox
DESCRIPTION:Carbon pricing\, in varied forms\, is an expression of economic theory known for close to 100 years\, and has been proposed in climate policy analysis for 35 years. Yet global progress remains patchy and clearly inadequate\, and in the US – the country in which economists most actively and persistently promoted the carbon pricing agenda – carbon pricing is generally considered “off the table” of any serious political debate. \nTo date\, the IPCC has consistently failed to reach either consistency\, between models and empirics\, or consensus\, between IPCC authors with conflicting world-views on carbon pricing. This talk would outline this background\, arguing a missed opportunity in the Sixth Assessment. \nAgainst this realpolitik empirical background\, this talk would advance a paradox: that carbon pricing can only succeed if its proponents become more modest in what it can realistically deliver; more fundamentally aware of not just distributional but also of political and psychological determinants; and acknowledge the vital contribution of complementary policy instruments. Building upon a recent paper in the Oxford Journal of Economic Policy\, the presentation will advance a broadened economic theory\, as well as political basis\, for regarding other instruments not as “second best”\, but as part of a set of complementary actions necessarily required to foster deep decarbonisation. \nAt the same time\, the presentation will warn against a growing tendency in some academic circles to diminish or disregard the contribution of carbon pricing entirely. Drawing upon empirical observations about the importance of energy prices over long periods\, as well as more fundamental economic principles\, the paper will argue that in the long run it will be impossible to secure deep decarbonisation without strong and robust carbon pricing. \nThe challenge is how to get there\, and intersections of evidence\, theory\, and process we might need to do so.
URL:https://test.whatworksclimate.solutions/presentation/the-carbon-pricing-paradox/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20240611T113000
DTEND;TZID=Europe/Berlin:20240611T130000
DTSTAMP:20260908T215729
CREATED:20240508T093152Z
LAST-MODIFIED:20240508T093152Z
UID:10000086-1718105400-1718110800@test.whatworksclimate.solutions
SUMMARY:Greenhouse gas (GHG) pricing and mortality: evidence from a systematic review and meta-regression
DESCRIPTION:According to the World Health Organization (WHO)\, the climate crisis constitutes the “greatest threat to global health in the 21st century”\, the impacts of which are extremely unequally distributed. Economic activity associated with greenhouse gas (GHG) emissions results in air pollution mortality\, among other consequences for ill-health. The air quality experienced by 99% of the global population does not meet WHO recommended standards. Thereby\, air pollution is thought responsible for one in 14 deaths. Health co-benefits of climate mitigation generally and GHG pricing specifically are currently largely ignored in policy assessment and decision-making. \nWe present a systematic review and meta-regression of statistical modelling studies analysing how GHG pricing could change ambient air pollution mortality. We find a reduction of ambient air pollution mortality associated with GHG pricing and examine the variation in findings across contexts using meta-regression. However\, there were various threats to validity in the studies – for example\, they often lacked calibration using observational data – meaning that our confidence in the studies was not always high. More generally\, there is a need for more transparent reporting\, which could be facilitated by accepted reporting standards in the field. Our systematic searches identified a relative lack of studies in upper middle- and lower middle-income countries where air pollution is particularly high. Future studies examining the health effects of GHG pricing in these contexts are needed. As with other urgent public health crisis such as Covid-19\, these need to be assessed based on currently available evidence.
URL:https://test.whatworksclimate.solutions/presentation/greenhouse-gas-ghg-pricing-and-mortality-evidence-from-a-systematic-review-and-meta-regression/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20240611T113000
DTEND;TZID=Europe/Berlin:20240611T130000
DTSTAMP:20260908T215729
CREATED:20240508T084538Z
LAST-MODIFIED:20240508T084538Z
UID:10000060-1718105400-1718110800@test.whatworksclimate.solutions
SUMMARY:Dichotomy or Continuum? A global review of the interaction between autonomous and planned adaptations
DESCRIPTION:Adaptation to climate change is often conceptualized as either/or\, as a dichotomy\, with adaptation responses being categorized as either planned (formal and structured) or autonomous (organic\, self-organized\, everyday). There is recent anecdotal and theoretical evidence on the existence and importance of the interplay between autonomous and planned adaptation\, however examination of this interaction has been limited to date. We use a global database of 1\,682 peer-reviewed articles on adaptation responses (from the Global Adaptation Mapping Initiative\, GAMI) to systematically examine autonomous and planned adaptations\, both quantitatively and qualitatively\, with an emphasis on how these types of adaptations interact with one another. We propose a third category\, mixed adaptation\, which demonstrates characteristics of both autonomous and planned types\, and which recognizes nuances in how organization\, external support\, formality\, and autonomy manifest in the fuzzy space between the two. We find that more than one-third of articles reporting on adaptation responses fall into this mixed category\, with cases across sectors and world regions. We develop a qualitative typology of mixed adaptation that identifies nine ways that autonomous and planned adaptation interact and influence each other both positively and negatively. Based on these findings\, we argue for more nuanced examinations of the interplay between autonomous and planned adaptation\, and for conceptualizing adaptation planning as a continuum between the two rather than a dichotomy. This has implications for research design\, which often do not explicitly consider the interactions between autonomous and planned\, rather focus on either/or. This additionally brings questions to policy norms in the era of the Global Stocktake\, where most indicator frameworks focus on planned adaptation\, thus missing huge swaths of effective and equitable adaptation\, occurring in the form of mixed and autonomous adaptation.
URL:https://test.whatworksclimate.solutions/presentation/dichotomy-or-continuum-a-global-review-of-the-interaction-between-autonomous-and-planned-adaptations/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20240611T113000
DTEND;TZID=Europe/Berlin:20240611T130000
DTSTAMP:20260908T215729
CREATED:20240508T084419Z
LAST-MODIFIED:20240508T084419Z
UID:10000059-1718105400-1718110800@test.whatworksclimate.solutions
SUMMARY:Progress and Gaps in National Adaptation Policy
DESCRIPTION:Globally\, national governments are developing policies and plans to increase resilience to climate hazards across all sectors. To date\, most methodologies used for tracking adaptation progress focus exclusively on policies and plans that explicitly mention climate adaptation\, unfortunately\, this practice leads to the exclusion of many policies that increase climate resilience but are not explicitly called adaptation policies\, leading to an incomplete understanding of progress in this area. Using a novel methodology that utilizes a comprehensive definition of adaptation policy that includes a broader range of resilience policies than traditional tracking methods\, we develop national policy inventories for adaptation in India and the United States and illustrate the landscape of adaptation policies in both countries. Through this comprehensive policy inventory and assessment\, we identify key gaps and areas for increased policy attention in both countries. This work provides a critical contribution to our understanding of national-level adaptation policy progress as well as a methodological contribution that can be replicated to better understand adaptation progress in other countries.
URL:https://test.whatworksclimate.solutions/presentation/progress-and-gaps-in-national-adaptation-policy/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20240611T113000
DTEND;TZID=Europe/Berlin:20240611T130000
DTSTAMP:20260908T215729
CREATED:20240508T084307Z
LAST-MODIFIED:20240508T084307Z
UID:10000058-1718105400-1718110800@test.whatworksclimate.solutions
SUMMARY:Ways forward in global adaptation evidence synthesis: Lessons learnt from GAMI and beyond
DESCRIPTION:Evidence of climate change adaptation has grown exponentially in recent years and decades. However\, this evidence base is highly heterogeneous in its methods\, context-specificity\, and relevance for effective risk reduction. The Global Adaptation Mapping Initiative (GAMI) was the first systematic evidence synthesis project that mapped adaptation literature from across the globe and categorised the evidence regarding adaptation types\, patterns\, and regional and sectoral clusters and gaps. After GAMI has been successfully finished\, fed into IPCC AR6 reports\, and used for various spin-off scientific papers\, it is time to take stock: What did and what did not work well in the GAMI process? By whom\, for which purposes and with which methods was the GAMI data used? What are future directions and recommendations for global adaptation evidence synthesis? This paper builds on a survey and group discussion among the GAMI core and advisory teams as well as lead authors of GAMI spin-off papers to collect experiences\, amongst others\, about the opportunities and limitations of the dataset\, extensions and re-analyses of the dataset in the various spin-off projects\, and recommendations for more effective adaptation evidence synthesis. The results of this analysis provide the basis for a new initiative for mapping and tracking global adaptation efforts and integration with novel machine learning-assisted methods\, which can feed into the Global Stocktake (2029) and 7th IPCC assessment cycle.
URL:https://test.whatworksclimate.solutions/presentation/ways-forward-in-global-adaptation-evidence-synthesis-lessons-learnt-from-gami-and-beyond/
END:VEVENT
END:VCALENDAR