Acting on the invisible: Computational tools and community action in the landscapes of air quality

2020 ◽  
Vol 18 (2) ◽  
pp. 108-119
Author(s):  
Christine Ann Mondor ◽  
Nicolas Azel
Keyword(s):  
Air Quality ◽  
Large Scale ◽  
Public Awareness ◽  
Community Action ◽  
Lessons Learned ◽  
Theory Of Change ◽  
Small Community ◽  
Computational Tools ◽  
Aggregate Information ◽  
Use Of Technology

This article proposes that designers and planners can better manage wicked problems by developing a strategic alignment of computational technology with a theory of change. Together with an understanding of the most effective places to intervene in a system, designers’ informed use of technology enables them to orchestrate community action and leverage large-scale environmental change. Aligning technology with a theory of change deepens the relevance of computational tools and suggests that technologies or tools that augment one’s ability to perceive, understand relevance, or prioritize raise the potential for action; technologies or tools that aggregate information on collective beliefs or actions help to build a community of concern; and technologies that elevate community capacity and create a sense of identity can contribute to the long-term transformation of values. Through a case study, this article demonstrates a nested approach to computation, which enhances public awareness and enables action in a small community which is trying to manage an extra-territorial problem of air quality. This article also proposes that while computational tools have extended the reach and effectiveness of advocacy, designers should continue to push for expanded application. By aggregating lessons learned from technological networks, such as the emerging clean air network described in this article, we can add another socio-ecological dimension to the practices of landscape and urbanism.

scholarly journals Strengthening the Strategic and Operational Response for Reducing COVID-19 Transmission in Indonesia

2021 ◽  
Author(s):  
Sumengen Sutomo ◽  
Salord Sagala ◽  
Bebi Sutomo ◽  
William Liem ◽  
Hamzah Al Hamid
Keyword(s):  
Case Management ◽  
Large Scale ◽  
Community Education ◽  
Public Awareness ◽  
Case Fatality ◽  
Theory Of Change ◽  
Contact Tracing ◽  
Strategic Response ◽  
Framework Approach ◽  
Positive Rate

Indonesia reported the first two cases of COVID-19 from Depok City, West Java, on March 2, 2020. This study aimed to evaluate the strategic response for reducing the COVID-19 transmission which mainly comprised case management, large-scale social restrictions, including micro-scale social restrictions, and the development of drugs and vaccines. The data were collected from the Indonesian Government’s official websites and the latest information from March 2020 to May 2021. Furthermore, a logical framework approach and a theory of change were used to describe, evaluate, and strengthen the strategic response. The current strategic response has not reduce the COVID-19 transmission. As of May 30, 2021, 1,879,730 confirmed cases with 101,639 active cases,1,663,998 recovered, and 50,404 deaths have been reported from 34 provinces. The case management faced a high positive rate and case fatality. Furthermore, the large-scale social restrictions have not increased public awareness and behavior practice on the prevention and control. Currently, there is no cure, and the vaccination needs more time to complete. Therefore, strengthening the current strategic response needs more testing, contact tracing, better quality treatment, community education for behavior change, and effective vaccination.

Experiences With and Lessons Learned From Developing, Implementing, and Evaluating a Support Program for Older Hearing Aid Users and Their Communication Partners in the Hearing Aid Dispensing Setting

2020 ◽  
Vol 29 (3S) ◽  
pp. 638-647 ◽  
Author(s):  
Janine F. J. Meijerink ◽  
Marieke Pronk ◽  
Sophia E. Kramer
Keyword(s):  
Large Scale ◽  
Hearing Aid ◽  
Critical Discussion ◽  
Lessons Learned ◽  
Research Note ◽  
Support Program ◽  
Large Sample Size ◽  
Long Term Effects ◽  
Communication Program ◽  
Communication Partners

Purpose The SUpport PRogram (SUPR) study was carried out in the context of a private academic partnership and is the first study to evaluate the long-term effects of a communication program (SUPR) for older hearing aid users and their communication partners on a large scale in a hearing aid dispensing setting. The purpose of this research note is to reflect on the lessons that we learned during the different development, implementation, and evaluation phases of the SUPR project. Procedure This research note describes the procedures that were followed during the different phases of the SUPR project and provides a critical discussion to describe the strengths and weaknesses of the approach taken. Conclusion This research note might provide researchers and intervention developers with useful insights as to how aural rehabilitation interventions, such as the SUPR, can be developed by incorporating the needs of the different stakeholders, evaluated by using a robust research design (including a large sample size and a longer term follow-up assessment), and implemented widely by collaborating with a private partner (hearing aid dispensing practice chain).

Maximizing Outcomes in Group Treatment of Aphasia: Lessons Learned From a Community-Based Center

2014 ◽  
Vol 24 (3) ◽  
pp. 100-105 ◽  
Author(s):  
Darlene Williamson
Keyword(s):  
Group Treatment ◽  
Treatment Protocol ◽  
Lessons Learned ◽  
Group Program ◽  
Community Based ◽  
Multiple Treatment ◽  
Use Of Technology ◽  
Communication Impairments ◽  
Treatment Settings

Given the potential of long term intervention to positively influence speech/language and psychosocial domains, a treatment protocol was developed at the Stroke Comeback Center which addresses communication impairments arising from chronic aphasia. This article presents the details of this program including the group purposes and principles, the use of technology in groups, and the applicability of a group program across multiple treatment settings.

scholarly journals Public Awareness: What Climate Change Scientists Should Consider

2020 ◽  
Vol 12 (20) ◽  
pp. 8369
Author(s):  
Mohammad Rahimi
Keyword(s):  
Climate Change ◽  
Social Media ◽  
Large Scale ◽  
Public Awareness ◽  
Connected Network ◽  
Multi Scale ◽  
Valuable Addition ◽  
Scientific Approach ◽  
Design Solutions ◽  
Mitigate Climate Change

In this Opinion, the importance of public awareness to design solutions to mitigate climate change issues is highlighted. A large-scale acknowledgment of the climate change consequences has great potential to build social momentum. Momentum, in turn, builds motivation and demand, which can be leveraged to develop a multi-scale strategy to tackle the issue. The pursuit of public awareness is a valuable addition to the scientific approach to addressing climate change issues. The Opinion is concluded by providing strategies on how to effectively raise public awareness on climate change-related topics through an integrated, well-connected network of mavens (e.g., scientists) and connectors (e.g., social media influencers).

scholarly journals The graph neural networking challenge

2021 ◽  
Vol 51 (3) ◽  
pp. 9-16
Author(s):  
José Suárez-Varela ◽  
Miquel Ferriol-Galmés ◽  
Albert López ◽  
Paul Almasan ◽  
Guillermo Bernárdez ◽  
...  
Keyword(s):  
Machine Learning ◽  
Computer Networks ◽  
Real World ◽  
Large Scale ◽  
Lessons Learned ◽  
Educational Resources ◽  
Global Competition ◽  
International Telecommunication Union ◽  
International Telecommunication ◽  
Broad Audience

During the last decade, Machine Learning (ML) has increasingly become a hot topic in the field of Computer Networks and is expected to be gradually adopted for a plethora of control, monitoring and management tasks in real-world deployments. This poses the need to count on new generations of students, researchers and practitioners with a solid background in ML applied to networks. During 2020, the International Telecommunication Union (ITU) has organized the "ITU AI/ML in 5G challenge", an open global competition that has introduced to a broad audience some of the current main challenges in ML for networks. This large-scale initiative has gathered 23 different challenges proposed by network operators, equipment manufacturers and academia, and has attracted a total of 1300+ participants from 60+ countries. This paper narrates our experience organizing one of the proposed challenges: the "Graph Neural Networking Challenge 2020". We describe the problem presented to participants, the tools and resources provided, some organization aspects and participation statistics, an outline of the top-3 awarded solutions, and a summary with some lessons learned during all this journey. As a result, this challenge leaves a curated set of educational resources openly available to anyone interested in the topic.

scholarly journals Identifying pathways for large-scale implementation of a school-based mental health programme in the Eastern Mediterranean Region: a theory-driven approach

2020 ◽  
Vol 35 (Supplement_2) ◽  
pp. ii112-ii123 ◽  
Author(s):  
Olakunle Alonge ◽  
Anna Chiumento ◽  
Hesham M Hamoda ◽  
Eman Gaber ◽  
Zill-e- Huma ◽  
...  
Keyword(s):  
Mental Health ◽  
Mediterranean Region ◽  
Large Scale ◽  
Eastern Mediterranean ◽  
Eastern Mediterranean Region ◽  
Theory Of Change ◽  
Programme Implementation ◽  
School Based ◽  
Mental Health Programme ◽  
Health Programme

Abstract Globally there is a substantial burden of mental health problems among children and adolescents. Task-shifting/task-sharing mental health services to non-specialists, e.g. teachers in school settings, provide a unique opportunity for the implementation of mental health interventions at scale in low- and middle-income countries (LMICs). There is scant information to guide the large-scale implementation of school-based mental health programme in LMICs. This article describes pathways for large-scale implementation of a School Mental Health Program (SMHP) in the Eastern Mediterranean Region (EMR). A collaborative learning group (CLG) comprising stakeholders involved in implementing the SMHP including policymakers, programme managers and researchers from EMR countries was established. Participants in the CLG applied the theory of change (ToC) methodology to identify sets of preconditions, assumptions and hypothesized pathways for improving the mental health outcomes of school-aged children in public schools through implementation of the SMHP. The proposed pathways were then validated through multiple regional and national ToC workshops held between January 2017 and September 2019, as the SMHP was being rolled out in three EMR countries: Egypt, Pakistan and Iran. Preconditions, strategies and programmatic/contextual adaptations that apply across these three countries were drawn from qualitative narrative summaries of programme implementation processes and facilitated discussions during biannual CLG meetings. The ToC for large-scale implementation of the SMHP in the EMR suggests that identifying national champions, formulating dedicated cross-sectoral (including the health and education sector) implementation teams, sustained policy advocacy and stakeholders engagement across multiple levels, and effective co-ordination among education and health systems especially at the local level are among the critical factors for large-scale programme implementation. The pathways described in this paper are useful for facilitating effective implementation of the SMHP at scale and provide a theory-based framework for evaluating the SMHP and similar programmes in the EMR and other LMICs.

scholarly journals Spatial and Temporal Characteristics of Environmental Air Quality and Its Relationship with Seasonal Climatic Conditions in Eastern China during 2015–2018

2021 ◽  
Vol 18 (9) ◽  
pp. 4524
Author(s):  
Zhiyuan Wang ◽  
Xiaoyi Shi ◽  
Chunhua Pan ◽  
Sisi Wang
Keyword(s):  
Particulate Matter ◽  
Air Quality ◽  
Air Pollutants ◽  
Large Scale ◽  
Asian Summer Monsoon ◽  
Eastern China ◽  
Climatic Conditions ◽  
Uniform Structure ◽  
Concentration Limit ◽  
Environmental Air

Exploring the relationship between environmental air quality (EAQ) and climatic conditions on a large scale can help better understand the main distribution characteristics and the mechanisms of EAQ in China, which is significant for the implementation of policies of joint prevention and control of regional air pollution. In this study, we used the concentrations of six conventional air pollutants, i.e., carbon monoxide (CO), sulfur dioxide (SO2), nitrogen dioxide (NO2), fine particulate matter (PM2.5), coarse particulate matter (PM10), and ozone (O3), derived from about 1300 monitoring sites in eastern China (EC) from January 2015 to December 2018. Exploiting the grading concentration limit (GB3095-2012) of various pollutants in China, we also calculated the monthly average air quality index (AQI) in EC. The results show that, generally, the EAQ has improved in all seasons in EC from 2015 to 2018. In particular, the concentrations of conventional air pollutants, such as CO, SO2, and NO2, have been decreasing year by year. However, the concentrations of particulate matter, such as PM2.5 and PM10, have changed little, and the O3 concentration increased from 2015 to 2018. Empirical mode decomposition (EOF) was used to analyze the major patterns of AQI in EC. The first mode (EOF1) was characterized by a uniform structure in AQI over EC. These phenomena are due to the precipitation variability associated with the East Asian summer monsoon (EASM), referred to as the “summer–winter” pattern. The second EOF mode (EOF2) showed that the AQI over EC is a north–south dipole pattern, which is bound by the Qinling Mountains and Huaihe River (about 35° N). The EOF2 is mainly caused by seasonal variations of the mixed concentration of PM2.5 and O3. Associated with EOF2, the Mongolia–Siberian High influences the AQI variation over northern EC by dominating the low-level winds (10 m and 850 hPa) in autumn and winter, and precipitation affects the AQI variation over southern EC in spring and summer.

scholarly journals Advances in decomposing complex metabolite mixtures using substructure- and network-based computational metabolomics approaches

2021 ◽  
Author(s):  
Mehdi A. Beniddir ◽  
Kyo Bin Kang ◽  
Grégory Genta-Jouve ◽  
Florian Huber ◽  
Simon Rogers ◽  
...  
Keyword(s):  
Natural Product ◽  
Large Scale ◽  
Scale Analysis ◽  
Computational Tools ◽  
Natural Product Discovery ◽  
Large Scale Analysis ◽  
Metabolite Annotation

This review highlights the key computational tools and emerging strategies for metabolite annotation, and discusses how these advances will enable integrated large-scale analysis to accelerate natural product discovery.

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