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X-ORIGINAL-URL:https://test.whatworksclimate.solutions
X-WR-CALDESC:Events for What Works
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TZID:Europe/Berlin
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DTSTART:20240331T010000
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TZOFFSETTO:+0100
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DTSTART:20241027T010000
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BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20240611T093000
DTEND;TZID=Europe/Berlin:20240611T110000
DTSTAMP:20260909T011806
CREATED:20240508T132031Z
LAST-MODIFIED:20240508T132031Z
UID:10000179-1718098200-1718103600@test.whatworksclimate.solutions
SUMMARY:Towards Effective Subnational Climate Policy: A Systematic Five-Step Analytical Approach Based on Evidence from German States
DESCRIPTION:While much of the discussion focuses on international and national climate policy\, achieving international climate goals will also require rigorous climate policy action at the subnational level. However\, it is challenging to evaluate and formulate the level and type of subnational action required within this complex and interconnected multi-level context. Synthesising insights from projects in the German states of Saxony and Rhineland-Palatinate\, we propose a five-step analytical approach to derive effective and targeted climate policy measures for the state level. The first step involves scenario modelling and model synthesis to establish an analytical reference point. In this context\, we advocate for the derivation of state and sector-level carbon dioxide (CO2) budgets aligned with Paris Agreement requirements to underscore the necessary climate policy ambition. Secondly\, a scenario comparison is used to discern sectors where government intervention is particularly imperative. The third step identifies goal-oriented strategies that subnational climate policies should target. Fourth\, a barrier and stakeholder analysis pinpoints priority areas for action. Lastly\, recommendations for action are derived from a systematic synthesis of the preceding steps. Taken together\, this approach promises a systematic and evidence-based method for crafting subnational climate policies\, contributing to the overall effectiveness of climate change mitigation efforts.
URL:https://test.whatworksclimate.solutions/presentation/towards-effective-subnational-climate-policy-a-systematic-five-step-analytical-approach-based-on-evidence-from-german-states/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20240611T093000
DTEND;TZID=Europe/Berlin:20240611T110000
DTSTAMP:20260909T011806
CREATED:20240508T131840Z
LAST-MODIFIED:20240508T131840Z
UID:10000178-1718098200-1718103600@test.whatworksclimate.solutions
SUMMARY:Policy-based emissions projections to support the Paris Agreement
DESCRIPTION:Greenhouse gas emissions projections are important tools to evaluate progress in implementing the mitigation component of the Paris Agreement. They support understanding global emissions trajectories under current efforts and assessing progress towards countries’ climate pledges. However\, developing these projections is resource-intensive\, which results in substantial information gaps for most countries. Lack of information regarding countries’ emissions trajectories hinders international discussions regarding the effectiveness of the Paris Agreement and muddles accountability. We investigate two methods to estimate greenhouse gas emissions projections based on countries’ current effort levels. First\, we assume minimal change from historical climate policy patterns. We analyse historical emission change rates to calculate future emissions within defined confidence intervals. Second\, we anticipate emissions changes based on countries’ recent developments. We map potential determinants\, compile policy-based projections\, and employ machine-learning models to estimate emissions change rates. These simplified projections extend insights for the next Nationally Determined Contribution (NDC) updates\, support future global stocktake processes and improve information availability for most countries worldwide. These innovative approaches provide concise\, systematic methods to explore greenhouse gas emissions projections and contribute to a nuanced assessment of global progress in line with the Paris Agreement. In this conference\, we aim to discuss key assumptions underpinning the analysis\, identify additional use cases and present initial findings.
URL:https://test.whatworksclimate.solutions/presentation/policy-based-emissions-projections-to-support-the-paris-agreement/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20240611T093000
DTEND;TZID=Europe/Berlin:20240611T110000
DTSTAMP:20260909T011806
CREATED:20240508T131728Z
LAST-MODIFIED:20240508T131728Z
UID:10000177-1718098200-1718103600@test.whatworksclimate.solutions
SUMMARY:Maximizing the Contribution of Aviation to 2050 Net-Zero Emission Reduction Pathways through Evidence-Based Policy
DESCRIPTION:The International Civil Aviation Organization (ICAO) and multiple influential trade groups such as the International Air Transport Association (IATA) have announced goals to make aviation net-zero by 2050. However\, in most net-zero pathways aviation is still considered a hard-to-abate sector that is unlikely to contribute meaningfully to emissions reductions in this timeframe. Designing ambitious policies that can achieve dramatic cuts in aviation emissions requires granular empirical evidence on current innovations\, investments\, commitments\, flight routes\, and other actions across a range of stakeholders. Here\, we build a novel evidence base combining data on aviation start-ups\, corporate commitments\, and demonstration projects and combine it with a sectoral and integrated assessment model to evaluate how policy action scenarios can accelerate emissions abatement in the aviation industry. \nWe use the Global Change Analysis Model (GCAM)\, a technology-rich integrated assessment model\, to investigate different technology and policy pathways to decarbonize the aviation sector in the US and EU. We focus on sustainable aviation fuels (SAF) and novel aircraft designs (electric and hydrogen planes) as the primary abatement technologies\, separating policy actions into technology supply and demand-side categories and accounting for different levels of corporate ambition. We use granular data inputs from i3 Cleantech on aviation start-ups and ICAO on technology development and corporate adoption to quantify the scaling potential of abatement technologies. \nOur results show that while complete decarbonization of aviation may be difficult and costly\, the sector can deliver emissions reductions that limit the need for offsetting in net-zero pathways. Full decarbonization of the aviation sector will likely place additional burdens on biofuel production and scaling of clean electricity generation unless coupled with demand reduction policies such as mode shifting. Combining an evidence base with policy scenarios can allow policymakers to design and gauge the role of aviation in net-zero pathways more accurately.
URL:https://test.whatworksclimate.solutions/presentation/maximizing-the-contribution-of-aviation-to-2050-net-zero-emission-reduction-pathways-through-evidence-based-policy/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20240611T093000
DTEND;TZID=Europe/Berlin:20240611T110000
DTSTAMP:20260909T011806
CREATED:20240508T113340Z
LAST-MODIFIED:20240508T113340Z
UID:10000151-1718098200-1718103600@test.whatworksclimate.solutions
SUMMARY:Public preferences for phasing-out fossil fuels in the German building and transport sectors
DESCRIPTION:In most of Europe\, the decarbonisation of the building and transport sectors lags behind emission targets. Achieving full decarbonisation requires not only the diffusion of net-zero emission technologies but also the phase-out of technologies that emit greenhouse gases (GHG). However\, implementing policy changes in these sectors can have an immediate and significant impact on people’s day-to-day life\, leading to a higher risk of political backlash\, as exemplified by the yellow vest movement in France. In this study\, we investigate public preferences for phase-out policy packages in both sectors in Germany by conducting two conjoint experiments with 1\,777 respondents in March 2022. Respondents collectively evaluated a total of 17\,770 policy packages per sector\, specifically targeting the phase-out of fossil fuel-based heating systems and internal combustion engine vehicles (ICEVs). We find that respondents favour earlier phase-out dates for both technologies\, but the type of preferred instruments varies: while regulatory instruments like bans are preferred for heating systems\, economic instruments like taxes are preferred for ICEVs. These preferences are even more pronounced in people most concerned about climate change. In addition\, we find that people with higher knowledge about sector emissions tend to demonstrate higher acceptance of policy interventions and that supportive measures significantly enhance the attractiveness of policy packages. Our findings can inform the design of phase-out policy packages\, potentially increasing their acceptability and political feasibility.
URL:https://test.whatworksclimate.solutions/presentation/public-preferences-for-phasing-out-fossil-fuels-in-the-german-building-and-transport-sectors/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20240611T093000
DTEND;TZID=Europe/Berlin:20240611T110000
DTSTAMP:20260909T011806
CREATED:20240508T113238Z
LAST-MODIFIED:20240508T113238Z
UID:10000150-1718098200-1718103600@test.whatworksclimate.solutions
SUMMARY:Environmental Actions and Support for Policy: Experimental Evidence from the US
DESCRIPTION:While a political divide persists about the urgency to tackle climate change in the US\, growing evidence suggests that individuals’ pro-environmental actions and support for green policies are much less politically divided. We investigate which type of information on climate change\, and through which mechanism\, can promote such actions and policy support. Using an online randomized experiment\, we find that providing prospective rather than retrospective information on local climate change has a significant and positive impact on both individuals’ behavior and policy support across party lines. The efficacy of this information provision depends on three main mechanisms: assigning individuals – rather than governments or corporations – the responsibility of addressing climate change; having young children; and expressing trust in the central government. Overall\, the results suggest that providing prospective information on local climate change and focusing on individual actions and support for green policies can contribute to raise the necessary vast support to address climate change.
URL:https://test.whatworksclimate.solutions/presentation/environmental-actions-and-support-for-policy-experimental-evidence-from-the-us/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20240611T093000
DTEND;TZID=Europe/Berlin:20240611T110000
DTSTAMP:20260909T011806
CREATED:20240508T113135Z
LAST-MODIFIED:20240508T113135Z
UID:10000149-1718098200-1718103600@test.whatworksclimate.solutions
SUMMARY:Leveraging Machine Learning to Understand Environmental Tax Opposition in Different Regions and Periods
DESCRIPTION:High environmental taxes face global opposition despite their broad recognition as essential for environmental protection. This study employs the random forest algorithm and the ISSP Environment surveys from 2020 (N=43\,678) and 2010 (N=27\,032) across 28 countries to identify factors associated with opposition to environmental tax increases. Simultaneously analyzing 41 individual-level factors and tax system characteristics\, we find individual values and environmental evaluations generally outweigh demographic factors for predicting tax opposition. The importance of factors varies over regions and time. In high-income countries\, concerns about environmental issues and prioritizing jobs and prices emerge as influential\, gaining prominence over the previous decade. Conversely\, an individual’s lack of commitment to pro-environmental behavior is the most important predictor in emerging economies. Our results highlight the dynamic nature of environmental attitudes. Policymakers and advocates can leverage these insights to tailor and target the communication of environmental tax increases in different contexts\, for instance\, by emphasizing job creation.
URL:https://test.whatworksclimate.solutions/presentation/leveraging-machine-learning-to-understand-environmental-tax-opposition-in-different-regions-and-periods/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20240611T093000
DTEND;TZID=Europe/Berlin:20240611T110000
DTSTAMP:20260909T011806
CREATED:20240508T113028Z
LAST-MODIFIED:20240524T092453Z
UID:10000148-1718098200-1718103600@test.whatworksclimate.solutions
SUMMARY:Unraveling the Link Between Political Discourse on Climate Change in EU Party Manifestos and Climate Policy Implementation
DESCRIPTION:How do political parties discuss climate change and climate policies in their manifestos? To what extent does such discourse correlate with countries’ climate policy output? With more ambitious climate action required to achieve global climate mitigation goals\, climate change has become increasingly salient in the political arena. However\, the literature currently lacks a comprehensives analysis of EU parties’ climate policy positions and of the extent to which parties’ electoral programs are translated into climate policy output. In this paper\, we build a dataset of party positions on climate change and climate policy instruments for most parties active in all EU countries from 1980 to 2021. To do so\, we test and apply a set of multilingual transformers to the corpus of political manifestos made available by the Manifesto Project. To test the correlation between political discourse in the electoral manifestos of winning coalitions and the amount and stringency of climate policies that are actually implemented\, we combine our dataset on party positions with data on implemented climate policies made available by the OECD Climate Actions and Policy Measurement Framework. With this paper\, we make the following contributions: 1) The expansion of the Manifesto Project dataset to include specific climate policy variables for EU countries; 2) The implementation of an efficient and replicable pipeline for multilingual and multiclass text classification for political discourse; and 3) The evaluation of correlations between party positions on climate policy and actual climate mitigation policy outcomes.
URL:https://test.whatworksclimate.solutions/presentation/unraveling-the-link-between-political-discourse-on-climate-change-in-eu-party-manifestos-and-climate-policy-implementation/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20240611T093000
DTEND;TZID=Europe/Berlin:20240611T110000
DTSTAMP:20260909T011806
CREATED:20240508T112925Z
LAST-MODIFIED:20240508T112925Z
UID:10000147-1718098200-1718103600@test.whatworksclimate.solutions
SUMMARY:Breaching the social contract? Insights on the public acceptability of fossil fuel subsidy removal in Colombia
DESCRIPTION:The elimination of fossil fuel subsidies presents a practical strategy for global south countries to bolster climate mitigation endeavours. In our research paper\, we delve into the crucial role of public attitude toward the subsidy removal in Colombia. Since 2022\, the Colombian government has gradually elevated gasoline prices to align with global market rates\, aligning with its aspiration to become a carbon neutral society. A parallel initiative for diesel prices is slated for implementation in this year. \nWhile fuel subsidies historically aimed to support vulnerable households\, their primary beneficiaries are high-income households that consume greater amounts of fossil energy. The elimination of these subsidies raises concerns about the government’s fulfilment of its social contract\, for instance if adequate replacements for poor and vulnerable households are lacking. Other instances\, such as those in Ecuador\, France\, Nigeria\, and more recently Germany\, illustrate how the elimination of subsidies incite widespread protests with broad societal support\, highlighting their role in the countries’ social contract. \nOur research adopts a mixed-method approach to assess the public acceptability of the elimination process and its implications for Colombia’s social contract. We conduct interviews with stakeholders involved in or affected by the process to gather diverse perspectives on the impact of subsidy removal on the social contract. Additionally\, we explore alternative reform designs that could enhance public acceptability. Using insights from these interviews\, we design a discrete choice experiment to test various reform options\, aiming to identify alternatives that effectively improve public attitudes toward the policy.
URL:https://test.whatworksclimate.solutions/presentation/breaching-the-social-contract-insights-on-the-public-acceptability-of-fossil-fuel-subsidy-removal-in-colombia/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20240611T093000
DTEND;TZID=Europe/Berlin:20240611T110000
DTSTAMP:20260909T011806
CREATED:20240508T112816Z
LAST-MODIFIED:20240508T112816Z
UID:10000146-1718098200-1718103600@test.whatworksclimate.solutions
SUMMARY:A Systematic Review of the Literature on Determinants of Public Acceptance of Climate Policies
DESCRIPTION:Mitigating dangerous climate change will require a rapid decarbonisation of the world economy\, with emissions brought to net zero levels within the next three decades. By now\, 145 countries covering close to 90% of the global emissions have announced or are considering net zero targets by 2050 or 2070. However\, policies and action put in place so far in most countries are insufficient for achieving their targets. Bolder policy measures need to be passed and implemented—an effort whose success\, as numerous experiences of failed attempts have shown\, critically depends on the level of public support (or acceptance\, at least) behind the policy initiatives. This paper provides a systematic review of the large and growing research into the determinants of public support for climate policy initiatives. Our review aims to achieve three goals. Firstly\, we provide an updated review of the literature\, which has grown significantly since the publication of previous reviews\, and we cover all policy types (aimed at climate mitigation) and all researched determining factors for public support. Secondly\, we provide a rigorous and ML-assisted analysis of the research landscape in this area\, and we\, in particular\, delineate the gaps still existing in the literature\, as well as the key questions that are still open. Thirdly\, we synthesise the state-of-the-art knowledge on political feasibility of climate policies\, and we formulate our synthesis around an integrative framework well-suited to inform future policy design with view of the public’s perception and acceptance.
URL:https://test.whatworksclimate.solutions/presentation/a-systematic-review-of-the-literature-on-determinants-of-public-acceptance-of-climate-policies/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20240611T093000
DTEND;TZID=Europe/Berlin:20240611T110000
DTSTAMP:20260909T011806
CREATED:20240508T094714Z
LAST-MODIFIED:20240508T094714Z
UID:10000093-1718098200-1718103600@test.whatworksclimate.solutions
SUMMARY:Women are under-represented in adaptation policy research and are more likely to emphasise justice topics
DESCRIPTION:This paper is the first to analyse the role of women authors in fostering justice-relevant topics in climate adaptation research.\nAs representation\, citation and payment patterns remain gender-biased across scientific disciplines\, we explore the case of climate science\, particularly adaptation\, as its most human-oriented facet. In climate research and policy\, there has been a recent surge of interest in climate justice topics. Between the latest assessment cycles of the IPCC (AR5 and AR6)\, mentions\nof justice in the reports of the Working Group on Impacts\, Adaptation and Vulnerability have increased almost 10-fold. We conduct a systematic examination of the topic space in the adaptation policy scholarship. As it is a vast and rapidly growing field\, we use topic modelling\, an unsupervised machine learning method\, to identify the literature on climate justice and related fields and examine the relationship between topic prevalence and the gender of the authors. We find climate change adaptation policy research to be male dominated\, with women holding 38.8% of first and 28.8% of last authorships. However\, we observe topic-specific variability\, whereby the shares of female authors are higher among publications on justice-relevant\ntopics. Female authorship is highly linked to topics such as Community\, Local Knowledge\, and Governance\, but less to Food Security and Climate Finance. Our findings corroborate the evidence that female authors play a significant role in advancing the research and dialogue on the relationship between climate change and areas that have meaningful impact on lives of women and other marginalised groups.
URL:https://test.whatworksclimate.solutions/presentation/women-are-under-represented-in-adaptation-policy-research-and-are-more-likely-to-emphasise-justice-topics/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20240611T093000
DTEND;TZID=Europe/Berlin:20240611T110000
DTSTAMP:20260909T011806
CREATED:20240508T094339Z
LAST-MODIFIED:20240508T094339Z
UID:10000092-1718098200-1718103600@test.whatworksclimate.solutions
SUMMARY:Multilingual topic modelling international collaborations: lessons from United Nations initiatives on food\, water and climate
DESCRIPTION:In a variety of domains\, the United Nations (UN) asks countries and other actors to submit large volumes of documents. Natural Language Processing\, especially topic modelling\, can be used to gain insights into such datasets and their underlying politics. Here\, we use topic models to analyse three different UN processes: the Global Stocktake under the Paris Agreement\, the Food Systems Summit and the Water Action Agenda. We find marked similarities\, despite the differing domains and underlying politics: submissions broadly represent the interests of the submitting party; moreover\, many submissions discuss fairly general topics\, while regionally dominant- and politically sensitive topics are either left out of the submissions (e.g. dietary change) or left out of official summaries (the Global Stocktake). We discuss the consequences for transparency efforts at the international level and share practical lessons on the topic modelling of multilingual datasets. BERTopic\, in particular\, can make use of recent advances in Large Language Models to create multilingual topic models without the need for translation. At present\, however\, it is also a more complex model to understand and fine-tune\, so we discuss when it is appropriate to use such methods over more established alternatives\, such as non-negative matrix factorization (NMF) and Latent Dirichlet Allocation (LDA). Overall\, we stress that multilingual data sources can and should be considered more to address structural data inequalities in the tracking of climate impacts and adaptation\, especially given the continuing rapid advances in multilingual NLP.
URL:https://test.whatworksclimate.solutions/presentation/multilingual-topic-modelling-international-collaborations-lessons-from-united-nations-initiatives-on-food-water-and-climate/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20240611T093000
DTEND;TZID=Europe/Berlin:20240611T110000
DTSTAMP:20260909T011806
CREATED:20240508T094225Z
LAST-MODIFIED:20240508T094443Z
UID:10000091-1718098200-1718103600@test.whatworksclimate.solutions
SUMMARY:Evidence synthesis of data for tracking progress on adaptation globally
DESCRIPTION:Tracking progress to reduce climate change risks through adaptation has become a topic of significant political interest and debate. Especially under the Paris Agreement’s Global Stocktake and Global Goal on Adaptation\, there are increasing calls for ways to assess progress on adaptation globally. The COP28 decision text includes calls for an iterative adaptation cycle assessment framework for seven key thematic targets: water\, food\, health\, ecosystems\, infrastructure and settlements\, poverty and livelihoods\, and cultural heritage. \nYet there are many epistemological\, normative\, methodological\, and practical challenges for tracking progress. For example\, defining and determining “”progress”” is contested\, with varying adaptation outcomes across societies. Methodologically\, the choice between qualitative and quantitative approaches\, as well as the selection of appropriate indicators\, remains a point of political contention. Practical issues include incomplete or low-quality data\, lack of detail and nuance in indicators\, and difficulties in obtaining local or subnational data\, particularly in places where adaptation is needed most. \nThe main objective of this paper is to provide a systematic assessment of existing datasets from various sources\, including reports\, scientific papers\, and online repositories. We validate our results with an expert panel. The evidence synthesis provides key datasets with conceptually clear indicators and data\, and assessing evidence gaps and limitations. We use these insights to reflect on how feasible existing datasets are to assess progress on adaptation globally and what additional steps may be needed.
URL:https://test.whatworksclimate.solutions/presentation/evidence-synthesis-of-data-for-tracking-progress-on-adaptation-globally/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20240611T093000
DTEND;TZID=Europe/Berlin:20240611T110000
DTSTAMP:20260909T011806
CREATED:20240508T083447Z
LAST-MODIFIED:20240508T083447Z
UID:10000053-1718098200-1718103600@test.whatworksclimate.solutions
SUMMARY:Evidence mapping of behavioral interventions to promote sustainable mobility behavior
DESCRIPTION:Behavioral interventions are considered promising approaches to promote pro-environmental behavior. Applying these interventions in high-emission sectors such as transportation could help mitigating climate change. While systematic evidence synthesis is important for a variety of stakeholders within and beyond academia\, to our knowledge there are few systematic reviews and no systematic map focusing on behavioral interventions such as choice architecture and nudging in the mobility sector. Moreover\, while various and complex behaviors are relevant\, the syntheses on mobility to date focus on a limited number of behaviors such as mode choice. Against this background\, it is the objective of this research project to collect and catalog existing empirical evidence on behavioral interventions targeting different mobility-related outcomes in multiple contexts that focus on reducing the negative environmental impact of transportation. Thus\, the study aims to identify existing research foci and remaining research gaps. For this reason\, the evidence synthesis takes the form of a systematic map as described by the Collaboration for Environmental Evidence (CEE). It also follows the RepOrting Standards for Systematic Evidence Synthesis (ROSES). Our search strategy includes searching in six bibliographic databases\, one search engine\, and one thesis repository. A supplementary search to find grey literature comprises a large set of organizational websites\, snowball sampling\, and expert consultations. Screening will follow a three-step approach based on pre-specified PICO-FS screening criteria\, followed by a narrative synthesis. The analyzes will summarize\, among other things\, the current state of research with respect to the behavioral interventions tested\, as well as the respective mobility behaviors and contexts in which these techniques were deployed.
URL:https://test.whatworksclimate.solutions/presentation/evidence-mapping-of-behavioral-interventions-to-promote-sustainable-mobility-behavior/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20240611T093000
DTEND;TZID=Europe/Berlin:20240611T110000
DTSTAMP:20260909T011806
CREATED:20240508T083345Z
LAST-MODIFIED:20240508T083345Z
UID:10000052-1718098200-1718103600@test.whatworksclimate.solutions
SUMMARY:Rebound effect in the era of energy transition
DESCRIPTION:This paper conducts a meta-analysis on rebound effects regarding the energy transition for household end-use services toward renewable energies (including photovoltaic\, biomass\, green electricity\, and heat pumps). The biomass and heat pump potentially lead to the highest size of rebound effect (approximately 33%). In addition\, the rebound effect regarding green electricity is about 1–3 % and even 11 % for low-income households. Focusing on residential solar/photovoltaic technologies\, it varies from a negative amount to nearly 30%. Only the solar domain supplies enough sample size to do the meta-regression. This model shows predictor variables driving the solar rebound effect(SRE) (estimated at around 15.49%) are feed-in-tariff (FIT) and the renewable share. A marginal percent in the renewable share or a one-cent change in FIT could result in a corresponding increase of SRE 0.21% and 0.34%\, respectively.
URL:https://test.whatworksclimate.solutions/presentation/rebound-effect-in-the-era-of-energy-transition/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20240611T093000
DTEND;TZID=Europe/Berlin:20240611T110000
DTSTAMP:20260909T011806
CREATED:20240508T083221Z
LAST-MODIFIED:20240508T083221Z
UID:10000051-1718098200-1718103600@test.whatworksclimate.solutions
SUMMARY:Encouraging structural changes to private homes to reduce carbon emissions: a systematic review and meta-analysis of (quasi-)experimental evidence
DESCRIPTION:Reducing emissions from the building sector is one of the key steps in combating climate change\, as the building sector is responsible for about 38% of global greenhouse gas emissions. Private households have opportunities to reduce a significant proportion of these emissions by improving the energy efficiency of their buildings\, e.g. by refurbishing their insulation or heating systems. While such structural changes provide societal benefits\, households may still decide against energy efficiency related renovations due to the associated financial burden or behavioral economic factors\, such as status quo bias\, hyperbolic discounting\, or a lack of information. This review aims to synthesize evidence on policy interventions that reduce such barriers and encourage households to implement energy efficiency improvements. With a machine learning assisted systematic review and meta-analysis\, this study will quantitatively evaluate relevant literature across domains and assess how these interventions affect households’ decision to renovate. Until WWCSS\, we aim to complete the first phases of screening and tagging of studies in order to present a preliminary overview and initial results.
URL:https://test.whatworksclimate.solutions/presentation/encouraging-structural-changes-to-private-homes-to-reduce-carbon-emissions-a-systematic-review-and-meta-analysis-of-quasi-experimental-evidence/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20240611T093000
DTEND;TZID=Europe/Berlin:20240611T110000
DTSTAMP:20260909T011806
CREATED:20240508T083103Z
LAST-MODIFIED:20240508T083103Z
UID:10000050-1718098200-1718103600@test.whatworksclimate.solutions
SUMMARY:Behavioural interventions change transport behavior but have only a limited impact on transport mode split
DESCRIPTION:Prevalent systems of land transport\, centred around automobility\, are energy inefficient and involve high economic\, health and GHG emissions-related costs. As one class of solutions\, demand-side behavioural change interventions (or soft policy interventions) are promoted to reduce car use and shift travellers to low-carbon transport modes. However\, the relative effectiveness of such interventions in initiating transport behaviour change has not been evaluated systematically. Here\, we conduct a systematic review and meta-analysis to evaluate the evidence on behavioural interventions in changing transport-related behavioural patterns. Relying on 37 literature reviews and 41 additional new studies\, we identify more than 450 cases of behavioural interventions. Our analysis reveals that behavioural measures are effective in increasing the percentage growth of public transit and active transport mode use as well as decreasing car use at the personal level. However\, their effectiveness in shifting commuters away from cars to more sustainable modes of transport at the aggregate level is limited. Our findings suggest that behavioural interventions have a role to play in reducing the health\, economic and environmental costs of car-centric transportation systems. We find that\, under the best-case scenario\, behavioural interventions can contribute up to a 5% per cent reduction of global GHG emissions from urban transport\, or about 150Mt CO2/yr\, a notable but limited potential compared to the reductions necessary to meet sectoral goals. Critical analysis of studies in our review indicates that interdisciplinary researchers interested in these issues should take a more strategic and rigorous approach—better study designs\, more representative samples\, and consideration of infrastructure effects—to determine which interventions are most effective in tackling multi-faceted urban transport issues.
URL:https://test.whatworksclimate.solutions/presentation/behavioural-interventions-change-transport-behavior-but-have-only-a-limited-impact-on-transport-mode-split/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20240611T093000
DTEND;TZID=Europe/Berlin:20240611T110000
DTSTAMP:20260909T011806
CREATED:20240508T082931Z
LAST-MODIFIED:20240508T082931Z
UID:10000049-1718098200-1718103600@test.whatworksclimate.solutions
SUMMARY:Demand-side interventions for sustainable food systems: A meta-analysis of food policy interventions targeting food consumption and waste behaviours
DESCRIPTION:It is now widely accepted that a significant portion of emission reductions required to meet net-zero targets must come from individual behaviour change. Shifting consumers towards more sustainable food consumption and avoiding food waste have been identified as key levers to mitigate climate change and slow biodiversity decline. However\, there remains a lack of knowledge on which food policy interventions can best harness this potential. Here\, we use a rigorous\, machine-learning-assisted systematic review and meta-analysis to comparatively assess the effectiveness of demand-side interventions targeting actual (or incentivised) food consumption and waste behaviours at the individual and household levels to comparatively assess the effectiveness of demand-side interventions targeting actual (or incentivised) food consumption and waste behaviours at the individual and household level. Based on 211 effect sizes comprising over 4.5 million observations\, we find a small overall effect size across all food consumption interventions (z = 0.15)\, and a small to medium effect size for food waste interventions (z = 0.20). When accounting for moderate publication bias\, these estimates are reduced to 0.10 and 0.18\, respectively\, but remain statistically significant at conventional levels. Our analysis reveals that\, in both domains\, structural choice architecture interventions are most effective in changing behaviour\, followed by monetary incentives. Sensitivity analysis shows that the current evidence base is characterised by substantial heterogeneity across studies\, which is not systematically related to variability in internal and external validity of studies. Our results underscore the necessity for future research to be carefully designed to uncover the factors determining when\, how and why interventions are effective.
URL:https://test.whatworksclimate.solutions/presentation/demand-side-interventions-for-sustainable-food-systems-a-meta-analysis-of-food-policy-interventions-targeting-food-consumption-and-waste-behaviours/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20240611T093000
DTEND;TZID=Europe/Berlin:20240611T110000
DTSTAMP:20260909T011806
CREATED:20240508T082802Z
LAST-MODIFIED:20240508T082802Z
UID:10000048-1718098200-1718103600@test.whatworksclimate.solutions
SUMMARY:Meta-analysis on the efficacy of behavioral\, information and economic strategies in increasing energy-efficiency adoption among households
DESCRIPTION:Investments in energy efficiency are critical for a net-zero electricity system but are hindered by the ‘energy-efficiency gap’. Primary studies have evaluated the efficacy of various strategies in overcoming this gap and increasing adoption of energy efficient appliances by households\, but a systematic evaluation of the evidence is missing with existing reviews focusing primarily on the size of the energy efficiency gap or energy usage. This machine learning assisted\, mixed methods review summarizes evidence from 60 experimental and quasi-experimental studies that look at the impact of informational\, behavioral\, and monetary interventions on willingness to pay for energy efficient appliances\, market share of efficient appliances\, and the subsequent savings in energy consumption. The meta-analysis of studies on willingness to pay\, finds a small to medium\, statistically significant effect of the different interventions in increasing adoption of efficient appliances but the heterogeneity analysis using Bayesian Model Averaging suggests that real world impact might be lower. It also remains unclear whether the small increase in sales of efficient appliances translates to an actual reduction in energy consumption of households. Despite the hopes we do not find strong evidence that the studied interventions can result in the large amounts of energy demand reductions required for meeting climate goals.
URL:https://test.whatworksclimate.solutions/presentation/meta-analysis-on-the-efficacy-of-behavioral-information-and-economic-strategies-in-increasing-energy-efficiency-adoption-among-households/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20240611T083000
DTEND;TZID=Europe/Berlin:20240611T091500
DTSTAMP:20260909T011806
CREATED:20240522T104416Z
LAST-MODIFIED:20240522T104416Z
UID:10000274-1718094600-1718097300@test.whatworksclimate.solutions
SUMMARY:Keynote - Integrating ex-ante and ex-post evidence for effective learning in science and policy
DESCRIPTION:Massimo Tavoni is the Director of the European Institute on Economics and the Environment\, and full professor of climate economic modeling at Politecnico di Milano.\nKey messages: \n\nModel intercomparisons continue to deliver critical lines of evidence to understand the solution space and alternative pathways for reaching the climate goals.\nOur understanding of feasible pathways to net-zero emissions needs to be complemented by a sound understanding of what policies work on the ground and can bring about the change observed in models in the near-term.\nA sound understanding of climate policy needs to effectively integrate ex-ante and ex-post evidence. Such an integrated understanding should be.\n\nFollowed by a panel on Past\, Present\, Future – towards comprehensive policy analysis in the IPCC‘s 7th Assessment Report
URL:https://test.whatworksclimate.solutions/presentation/keynote-integrating-ex-ante-and-ex-post-evidence-for-effective-learning-in-science-and-policy/
LOCATION:H 0104
CATEGORIES:Keynote
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20240611T083000
DTEND;TZID=Europe/Berlin:20240611T091500
DTSTAMP:20260909T011806
CREATED:20240522T104104Z
LAST-MODIFIED:20240522T114925Z
UID:10000273-1718094600-1718097300@test.whatworksclimate.solutions
SUMMARY:Panel -  Past\, Present\, Future – towards comprehensive policy analysis in the IPCC‘s 7th Assessment Report
DESCRIPTION:
URL:https://test.whatworksclimate.solutions/presentation/panel-past-present-future-towards-comprehensive-policy-analysis-in-the-ipccs-7th-assessment-report/
LOCATION:H 0104
CATEGORIES:Panel
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20240610T170000
DTEND;TZID=Europe/Berlin:20240610T183000
DTSTAMP:20260909T011806
CREATED:20240522T103844Z
LAST-MODIFIED:20240522T103844Z
UID:10000272-1718038800-1718044200@test.whatworksclimate.solutions
SUMMARY:Keynote - Climate Solutions & cities: Priorities and evidence needs for the upcoming IPCC Special Report
DESCRIPTION:Winston Chow is Co-Chair of the IPCC’s Working Group II for its seventh assessment cycle\, and Professor of Urban Climate at Singapore Management University’s College of Integrative Studies.\nKey messages: \n\nLocal climate solutions have a large potential for meeting climate goals and more often than not co-align synergistically with improving human well-being & health.\nContext is particularly important in the assessment of climate solutions. Finding adequate ways to represent local contexts in a global cities assessment\, both by reflecting geospatial high resolution data and local knowledge\, is key to providing a relevant special report.\nCities are the arena where local behavioral\, infrastructural\, and technology solutions for climate change mitigation and adaptation are realized.\nThere is a key opportunity to advance the urban solutions by synthesizing the disparate solution-oriented evidence into discrete chunks of knowledge and typologies that can be easily drawn from by the IPCC author in the Special Report.\n\nFollowed by a panel on Challenges for policy learning from highly localized evidence 
URL:https://test.whatworksclimate.solutions/presentation/keynote-climate-solutions-cities-priorities-and-evidence-needs-for-the-upcoming-ipcc-special-report/
LOCATION:H 0104
CATEGORIES:Keynote
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20240610T170000
DTEND;TZID=Europe/Berlin:20240610T183000
DTSTAMP:20260909T011806
CREATED:20240522T103617Z
LAST-MODIFIED:20240522T114958Z
UID:10000271-1718038800-1718044200@test.whatworksclimate.solutions
SUMMARY:Panel - Challenges for policy learning from highly localized evidence
DESCRIPTION:
URL:https://test.whatworksclimate.solutions/presentation/panel-challenges-for-policy-learning-from-highly-localized-evidence/
LOCATION:H 0104
CATEGORIES:Panel
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20240610T150000
DTEND;TZID=Europe/Berlin:20240610T163000
DTSTAMP:20260909T011806
CREATED:20240515T080654Z
LAST-MODIFIED:20240524T070428Z
UID:10000259-1718031600-1718037000@test.whatworksclimate.solutions
SUMMARY:Research and Policy Panel on Climate-Resilient Agriculture
DESCRIPTION:A panel discussion on climate-resilient agricultural technologies and practices with J-PAL staff and researcher Arnaud Dakpogan
URL:https://test.whatworksclimate.solutions/presentation/how-research-can-influence-policy-panel/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20240610T150000
DTEND;TZID=Europe/Berlin:20240610T163000
DTSTAMP:20260909T011806
CREATED:20240515T080510Z
LAST-MODIFIED:20240522T070409Z
UID:10000258-1718031600-1718037000@test.whatworksclimate.solutions
SUMMARY:Evidence Synthesis on Climate-Resilient Agriculture
DESCRIPTION:In light of the need for evidence-based policy to build small-scale farmers’ resiliency\, J-PAL staff present findings from randomized and quasi-experimental evaluations of climate-resilient agricultural technologies and practices. \nSmall-scale farmers in low- and middle-income countries are critical to global food security\, and yet their welfare and livelihoods are extremely vulnerable to climate change impacts. More frequent extreme weather events like rainfall shocks and slow-onset change like warmer and drier conditions reduce harvest stability. Global food production exacerbates these impacts\, emitting approximately one quarter of greenhouse gas emissions annually. As such\, national governments are integrating agriculture and food systems into National Adaptation Plans\, Nationally Determined Contributions\, and other related strategies. Building small-scale farmers’ resilience is complex\, and stewarding environmental health and enhancing agricultural productivity have often been seen as at odds with each other in policy decisions. \nIn light of the need for evidence-based policy to build small-scale farmers’ resiliency\, J-PAL staff will synthesize and present findings from rigorous and policy-relevant randomized and quasi-experimental evaluations of climate-resilient agricultural technologies and practices. Covering over 20 evaluations from J-PAL’s Agricultural Technology Adoption Initiative and King Climate Action Initiative\, the presentation highlights policy approaches and considerations to support farmers to maintain well-being in the face of climate shocks. \nNew and traditional climate-resilient technologies and practices like improved seeds and rainwater harvesting techniques can minimize crop loss\, support farmers’ productivity and\, in some cases\, counter the degradation of environmental systems. However\, these adaptations do not fully support small-scale farmers to maintain or improve their livelihoods. Social protection programs like cash transfers and income diversification support are critical policy tools to complement agricultural technologies to sustain farmers’ welfare\, strengthen food systems\, and buttress the resilience of environmental systems. \nThe session will highlight specific studies and identify lessons across evaluations in various contexts to inform policymakers on how to build evidence-based policies and programs to support small-scale farmers adapt to the evolving challenges of climate change.
URL:https://test.whatworksclimate.solutions/presentation/evidence-based-policy-approaches-to-building-small-scale-farmers-climate-resiliency/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20240610T150000
DTEND;TZID=Europe/Berlin:20240610T163000
DTSTAMP:20260909T011806
CREATED:20240508T150214Z
LAST-MODIFIED:20240508T150214Z
UID:10000231-1718031600-1718037000@test.whatworksclimate.solutions
SUMMARY:How can cities use machine learning for urban climate change mitigation? A systematic map
DESCRIPTION:In recent years\, numerous cities across the world have shown interest in AI approaches to help with achieving carbon neutrality. There is a need for city policy makers and researchers to get overarching guidance or receive an overview of potential application areas and approaches. Currently\, however\, there is no comprehensive analysis of the existing body of research on the use of machine learning (ML) in urban climate change mitigation.\nWith this research\, we provide an overview of the literature at the intersection between ML research in climate change mitigation and its role in urban governance and policymaking. We conducted this review by applying a systematic map framework that transparently displays mature research areas\, as well as more nascent and uncertain ones. Specifically\, we created the systematic map through manually coding 3\,944 records for relevance\, followed by a comprehensive analysis of 1\,215 relevant papers published between 1994-2021. In the review\, we systematically map the areas of application but also provide an assessment of their climate mitigation potential.\nKey findings include that research is taking place across 57 countries and 250 cities. We introduce over 40 impact areas. We find strong alignment between the most research impact areas and IPCC urban mitigation options with high reduction potentials. And we outline three main roles for ML such as using it for optimization towards more efficient processes\, demand forecasting as well as simulation of impact of planned measures.\nWe then interpret findings in relation to governance and climate policy as well as discussing ways through which the potential of ML can be realized at scale and in alignment with high mitigation impact and public sector demand. We conclude with key recommendations for urban policy makers. For example\, we call for integration of urban governance considerations into this emerging research nexus.
URL:https://test.whatworksclimate.solutions/presentation/how-can-cities-use-machine-learning-for-urban-climate-change-mitigation-a-systematic-map/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20240610T150000
DTEND;TZID=Europe/Berlin:20240610T163000
DTSTAMP:20260909T011806
CREATED:20240508T150111Z
LAST-MODIFIED:20240508T150111Z
UID:10000230-1718031600-1718037000@test.whatworksclimate.solutions
SUMMARY:Indicators and metrics to evaluate urban adaptation: a systematic review
DESCRIPTION:Assessing the effectiveness of climate adaptation action is the focus of intense debates across scientific and policy arenas. Measurement is essential for effective adaptation management and operation\, and indicators and metrics (I&M) are claimed to have a pivotal role. Surprisingly\, there are\, however\, no systematic efforts so far to understand the progress of science in the provisioning of I&M. To shed light on these timely discussions\, we here analyse 137 scientific publications and 901 I&M (including indices) proposed in the literature to measure adaptation to climate change with a particular focus on urban areas. The challenges we have faced speak about a field that is complex to track and understand as a result of a lack of common terminology\, standardisation and reference guidelines. This complexity has originated diverse\, context-specific and sometimes competing approaches to developing I&M. Based on our evidence\, we raise the critique that current I&M proposals are highly technical\, not sufficiently grounded on real needs and have little potential to support effective urban climate change adaptation. Our concern is now how to advance the adaptation evaluation research\, policy and practice field in this messy space.
URL:https://test.whatworksclimate.solutions/presentation/indicators-and-metrics-to-evaluate-urban-adaptation-a-systematic-review/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20240610T150000
DTEND;TZID=Europe/Berlin:20240610T163000
DTSTAMP:20260909T011806
CREATED:20240508T150005Z
LAST-MODIFIED:20240508T150005Z
UID:10000229-1718031600-1718037000@test.whatworksclimate.solutions
SUMMARY:Evidence Synthesis for Shade Design and Decision Making in Urban Built Environments
DESCRIPTION:Shade provides thermal comfort\, reduces urban heat islands\, prevents heat-related illness and death\, and\, when provided by tree canopy\, extends co-benefits to the environment. Despite its importance\, many outdoor public spaces lack adequate or even any shade\, and it is inequitably distributed. The scarcity of shade is exacerbated by the design and implementation challenges of its provision. In the context of climate change\, urban shade scarcity is a design emergency that requires comprehensive and usable evidence to create solutions.\nThis presentation will highlight an interdisciplinary collaboration (public health\, landscape architecture\, urban planning\, urban forestry) that will support evidence-based design practice\, climate adaptation\, and human health and well-being. Our research includes a series of extensive scoping reviews of the literature on shade provision\, design\, policy\, benefits and co-benefits\, barriers and facilitators\, and equity. With methods informed by Arksey and O’Malley and the PRISMA-ScR guidelines for scoping reviews\, six databases have been searched\, 19\,237 articles have been screened at the title and abstract level with the help of DistillerSR AI\, and 2\,371 articles are currently being screened at the full-text level. Data extraction and thematic synthesis will take place in February-March.\nThe results of these scoping reviews and evidence syntheses on shade will lay the necessary groundwork for providing robust and synthesized evidence readily packaged for application by public health and built environment professionals to improve our cities’ shadescapes. Knowledge mobilization will include a Shade Design Framework for practitioners based on the scientific evidence syntheses and a national shade design competition where interdisciplinary teams will use the Shade Design Framework and the synthesized evidence to inform their design submissions demonstrating the utility of and generating interest in\, the Framework and the body of evidence informing its development.\nThis research is funded by the Canadian Institutes of Health Research.
URL:https://test.whatworksclimate.solutions/presentation/evidence-synthesis-for-shade-design-and-decision-making-in-urban-built-environments/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20240610T150000
DTEND;TZID=Europe/Berlin:20240610T163000
DTSTAMP:20260909T011806
CREATED:20240508T145832Z
LAST-MODIFIED:20240508T145832Z
UID:10000228-1718031600-1718037000@test.whatworksclimate.solutions
SUMMARY:Bus rapid transit (BRT) in developing Asia & Africa: a systematic review of the enviornmental impact and co-benefits of BRTs
DESCRIPTION:We conduct a systematic review of Bus Rapid Transit (BRT) systems and their environmental and social impacts on cities across LMICs in Asia & Africa. Our search strategy involves 3 key steps. First\, we search a database of BRT systems across the world to identify BRT systems in Asia & Africa and collect information about the operational characteristics of these systems. Next\, we design and implement a string-based search query to find literature related to the systems identified in Step 1. And lastly\, we design and implement search queries for BRT systems in general for these countries. Using these studies\, we are interested in gathering estimates related to the environmental impact (mainly GHG emissions) and three major categories of co-benefits: (i) transport-related impacts\, (ii) economic & social impacts\, and (iii) health impacts.\nBased on initial literature screening we can identify more than 120 original studies on approx. 30 BRT systems. We report three types of outcomes resulting from the search process; (i) evidence maps and gaps of BRT systems literature\, (ii) evidence on transport\, social\, economic\, and environmental impact of BRTs\, and lastly (iii) critical analysis of the underlying studies\, including information availability analysis\, risk of bias\, strength of evidence analysis. Early results suggest that while BRT systems have a more limited impact on some transport-related outcomes such as transport mode shift\, their impact on accessibility and health outcomes (particularly air pollution and accidents) alone is quite large. We compare these impacts of BRT systems to other transport system interventions using standard terms of cost-benefit analysis\, underlying the benefits and shortcomings of these systems. Given the nature of this systematic review\, we also devise a plan to convert this review into a living review form.
URL:https://test.whatworksclimate.solutions/presentation/bus-rapid-transit-brt-in-developing-asia-africa-a-systematic-review-of-the-enviornmental-impact-and-co-benefits-of-brts/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20240610T150000
DTEND;TZID=Europe/Berlin:20240610T163000
DTSTAMP:20260909T011806
CREATED:20240508T145650Z
LAST-MODIFIED:20240508T145650Z
UID:10000227-1718031600-1718037000@test.whatworksclimate.solutions
SUMMARY:A Global Systematic Map and Database of Climate Change Research on Cities
DESCRIPTION:The Intergovernmental Panel on Climate Change (IPCC) agreed to publish a special report (SR) on cities in assessment report (AR) 7 cycle. The SR seeks to summarise the evidence on climate change impacts and the unique adaptation and mitigation options of cities. However\, a systematic overview of the literature on cities\, and particularly urban case studies\, is missing. This article fills this gap. We show that the IPCC better covers topics for which it can build on existing reviews. However\, city case studies\, which are growing faster than other research on human settlements and climate\, remain insufficiently reviewed and synthesized\, posing a considerable gap in the overall assessment of the cities and climate change literature. This gap is most pronounced in case studies on climate change mitigation. Hence\, the IPCC needs to place considerable emphasis on assessing more than the existing 20\,000 case studies as an underpinning of the SR on cities. Using machine learning to map out the topics in this research space\, we provide a comprehensive and accessible global research map and database useful for evidence-synthesis research on cities and climate change.
URL:https://test.whatworksclimate.solutions/presentation/a-global-systematic-map-and-database-of-climate-change-research-on-cities/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20240610T150000
DTEND;TZID=Europe/Berlin:20240610T163000
DTSTAMP:20260909T011806
CREATED:20240508T110749Z
LAST-MODIFIED:20240508T110749Z
UID:10000133-1718031600-1718037000@test.whatworksclimate.solutions
SUMMARY:A call for action – applying the Evidence-Based Research Network approach to climate change research
DESCRIPTION:Background: Research on research has shown the scientific\, ethical\, and resource costs of unnecessary (redundant) studies. Many redundant studies could be avoided if prior research is considered in a systematic and transparent way before starting the new study. Once the study has been completed\, systematic syntheses help with the interpretation of new results\, facilitating the placing of new findings into the context of the existing knowledge and highlighting evidence gaps.\nObjectives: The Evidence-Based Research Network (EBRNetwork) was established in 2014 to promote the use of an Evidence-Based Research (EBR) approach\, i.e. the use of prior research in a systematic and transparent way to inform a new study so that it answers questions that matter in a valid\, efficient\, and accessible manner.\nMethods: Between 2018 and 2023\, the EBRNetwork received funding from the European Cooperation in Science and Technology (COST) for its COST Action EVidence Based RESearch (EVBRES) [CA-17117]. EVBRES aimed to build the EBRNetwork’s network and capacity and to promote the use of the EBR approach among clinical researchers\, funders\, ethics committees\, and publishers across Europe.\nResults: Over 4.5 years\, EVBRES organized 3 EBR Conferences\, published > 30 articles\, and developed EBR training materials/manual for researchers\, reaching an estimated 20\,000 people internationally.\nConclusions: Using momentum from EVBRES\, current efforts are focused on securing the sustainability of the EBRNetwork and expanding the EBR approach worldwide to other scientific disciplines. There is now a need to evaluate the extent to which climate change research is affected by a lack of EBR adherence (in healthcare an estimated 50%)\, contributing to research waste and opportunity loss of funding resources. In parallel\, EBR awareness and capacity building will support optimal use of existing and future evidence\, resulting in more valuable research to inform climate change assessments and policy decisions.
URL:https://test.whatworksclimate.solutions/presentation/a-call-for-action-applying-the-evidence-based-research-network-approach-to-climate-change-research/
END:VEVENT
END:VCALENDAR