Communicating Climate Change to Alberta’s Youth: Lessons Learned from the Alberta Narratives Project

2021 ◽  
pp. 419-435
Author(s):  
Roberta Laurie ◽  
Katrina Atkinson ◽  
Jacqueline Ohm ◽  
Michaela Bishop
Keyword(s):  
Climate Change ◽  
Lessons Learned

scholarly journals Artificial Intelligence and Behavioral Science Through the Looking Glass: Challenges for Real-World Application

2020 ◽  
Vol 54 (12) ◽  
pp. 942-947
Author(s):  
Pol Mac Aonghusa ◽  
Susan Michie
Keyword(s):  
Climate Change ◽  
Artificial Intelligence ◽  
Machine Learning ◽  
Behavior Change ◽  
Behavioral Science ◽  
Lessons Learned ◽  
Learning Approaches ◽  
Intervention Evaluation ◽  
Research Activities ◽  
Behavior Change Interventions

Abstract Background Artificial Intelligence (AI) is transforming the process of scientific research. AI, coupled with availability of large datasets and increasing computational power, is accelerating progress in areas such as genetics, climate change and astronomy [NeurIPS 2019 Workshop Tackling Climate Change with Machine Learning, Vancouver, Canada; Hausen R, Robertson BE. Morpheus: A deep learning framework for the pixel-level analysis of astronomical image data. Astrophys J Suppl Ser. 2020;248:20; Dias R, Torkamani A. AI in clinical and genomic diagnostics. Genome Med. 2019;11:70.]. The application of AI in behavioral science is still in its infancy and realizing the promise of AI requires adapting current practices. Purposes By using AI to synthesize and interpret behavior change intervention evaluation report findings at a scale beyond human capability, the HBCP seeks to improve the efficiency and effectiveness of research activities. We explore challenges facing AI adoption in behavioral science through the lens of lessons learned during the Human Behaviour-Change Project (HBCP). Methods The project used an iterative cycle of development and testing of AI algorithms. Using a corpus of published research reports of randomized controlled trials of behavioral interventions, behavioral science experts annotated occurrences of interventions and outcomes. AI algorithms were trained to recognize natural language patterns associated with interventions and outcomes from the expert human annotations. Once trained, the AI algorithms were used to predict outcomes for interventions that were checked by behavioral scientists. Results Intervention reports contain many items of information needing to be extracted and these are expressed in hugely variable and idiosyncratic language used in research reports to convey information makes developing algorithms to extract all the information with near perfect accuracy impractical. However, statistical matching algorithms combined with advanced machine learning approaches created reasonably accurate outcome predictions from incomplete data. Conclusions AI holds promise for achieving the goal of predicting outcomes of behavior change interventions, based on information that is automatically extracted from intervention evaluation reports. This information can be used to train knowledge systems using machine learning and reasoning algorithms.

scholarly journals A Comparative Analysis of Climate-Risk and Extreme Event-Related Impacts on Well-Being and Health: Policy Implications

2018 ◽  
Vol 15 (2) ◽  
pp. 331 ◽  
Author(s):  
Walter Leal Filho ◽  
Abul Al-Amin ◽  
Gustavo Nagy ◽  
Ulisses Azeiteiro ◽  
Laura Wiesböck ◽  
...  
Keyword(s):  
Climate Change ◽  
Extreme Events ◽  
Extreme Event ◽  
Well Being ◽  
Lessons Learned ◽  
Policy Implications ◽  
Health Impacts ◽  
Climate Risks ◽  
Wide Range ◽  
Mental Problems

There are various climate risks that are caused or influenced by climate change. They are known to have a wide range of physical, economic, environmental and social impacts. Apart from damages to the physical environment, many climate risks (climate variability, extreme events and climate-related hazards) are associated with a variety of impacts on human well-being, health, and life-supporting systems. These vary from boosting the proliferation of vectors of diseases (e.g., mosquitos), to mental problems triggered by damage to properties and infrastructure. There is a great variety of literature about the strong links between climate change and health, while there is relatively less literature that specifically examines the health impacts of climate risks and extreme events. This paper is an attempt to address this knowledge gap, by compiling eight examples from a set of industrialised and developing countries, where such interactions are described. The policy implications of these phenomena and the lessons learned from the examples provided are summarised. Some suggestions as to how to avert the potential and real health impacts of climate risks are made, hence assisting efforts to adapt to a problem whose impacts affect millions of people around the world. All the examples studied show some degree of vulnerability to climate risks regardless of their socioeconomic status and need to increase resilience against extreme events.

scholarly journals Development of downscaled Climate Change Scenarios for Central America. Lessons learned and next steps

2021 ◽  
Author(s):  
Jorge Tamayo ◽  
Ernesto Rodriguez-Camino ◽  
Sara Covaleda
Keyword(s):  
Climate Change ◽  
Central America ◽  
Essential Element ◽  
Climate Change Impacts ◽  
Lessons Learned ◽  
Second Phase ◽  
Climate Change Scenarios ◽  
Definition Of ◽  
Hydrological Services ◽  
Different Sources

<p>The intersectoral workshop held in December 2016 among the Ibero-American networks on water (CODIA), climate change (RIOCC) and meteorology (CIMHET) identified the need to dispose of downscaled climate change scenarios for Central America. Such scenarios would be developed by National Meteorological and Hydrological Services (NMHS) in the region, based on a common methodology, allowing the assessment of climate change impacts on water resources and extreme hydro-meteorological events.</p><p>One final outcome of the project has been a freely accessible web viewer, installed on the Centro Clima webpage (https://centroclima.org/escenarios-cambio-climatico/), managed by CRRH-SICA, where all information generated during the project is available for consultation and data downloading by the different sectors of users.</p><p>A key element in this project has been to integrate many downscaled projections based on different methods (dynamical and statistical), totalizing 45 different projections, and aiming at estimating the uncertainty coming from different sources in the best possible way.</p><p>Another essential element has been the strong involvement of the different user sectors through national workshops, first, at the beginning of the project for the identification and definition of viewer features the project, and then for the presentation of results and planning of its use by prioritized sectors.</p><p>In a second phase of the project, a regional working group made up of experts from the NMHSs will be in charge of viewer maintenance and upgrade, including new sectoral parameters, developed in collaboration with interested users, and computation and addition of new downscaled projections from CMIP 6 in collaboration with AEMET.</p><p>Finally, following the request of CIMHET, the possibility of replicating this project for other areas of Ibero-America is being evaluated.</p>

Epilogue

2016 ◽  
pp. 119-122
Author(s):  
Christian W. McMillen
Keyword(s):  
Public Health ◽  
Climate Change ◽  
Lessons Learned ◽  
The Past ◽  
Public Health Infrastructure ◽  
Health Infrastructure ◽  
The World ◽  
The Future ◽  
The Face ◽  
New Challenges

There will be more pandemics. A pandemic might come from an old, familiar foe such as influenza or might emerge from a new source—a zoonosis that makes its way into humans, perhaps. The epilogue asks how the world will confront pandemics in the future. It is likely that patterns established long ago will re-emerge. But how will new challenges, like climate change, affect future pandemics and our ability to respond? Will lessons learned from the past help with plans for the future? One thing is clear: in the face of a serious pandemic much of the developing world’s public health infrastructure will be woefully overburdened. This must be addressed.

scholarly journals An Assessment of Climate Change and Health Vulnerability and Adaptation in Dominica

2018 ◽  
Vol 16 (1) ◽  
pp. 70 ◽  
Author(s):  
Rebekka Schnitter ◽  
Marielle Verret ◽  
Peter Berry ◽  
Tanya Chung Tiam Fook ◽  
Simon Hales ◽  
...  
Keyword(s):  
Climate Change ◽  
Health Risks ◽  
Production Systems ◽  
Health Sector ◽  
Lessons Learned ◽  
Small Island ◽  
Waterborne Diseases ◽  
Health Vulnerability ◽  
Near Term ◽  
Climate Change And Health

A climate change and health vulnerability and adaptation assessment was conducted in Dominica, a Caribbean small island developing state located in the Lesser Antilles. The assessment revealed that the country’s population is already experiencing many impacts on health and health systems from climate variability and change. Infectious diseases as well as food and waterborne diseases pose continued threats as climate change may exacerbate the related health risks. Threats to food security were also identified, with particular concern for food production systems. The findings of the assessment included near-term and long-term adaptation options that can inform actions of health sector decision-makers in addressing health vulnerabilities and building resilience to climate change. Key challenges include the need for enhanced financial and human resources to build awareness of key health risks and increase adaptive capacity. Other small island developing states interested in pursuing a vulnerability and adaptation assessment may find this assessment approach, key findings, analysis, and lessons learned useful.

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