Target Community Research Articles

Improving Diverse and Equitable Involvement of Patients and Caregivers in Research in CKD: Report of a Better Evidence and Translation–Chronic Kidney Disease (BEAT-CKD) Workshop

Patient and caregiver involvement can enhance the uptake and impact of research, but the involvement of patients and caregivers who are underserved and marginalized is often limited. A better understanding of how to make involvement in research more broadly accessible, supportive, and inclusive for patients with chronic kidney disease (CKD) and caregivers is needed. We conducted a national workshop involving patients, caregivers, clinicians, and researchers from across Australia to identify strategies to increase the diversity of patients and caregivers involved in CKD research. Six themes were identified. Building trust and a sense of safety was considered pivotal to establishing meaningful relationships to support knowledge exchange. Establishing community and connectedness was expected to generate a sense of belonging to motivate involvement. Balancing stakeholder goals, expectations, and responsibilities involved demonstrating commitment and transparency by researchers. Providing adequate resources and support included strategies to minimize the burden of involvement for patients and caregivers. Making research accessible and relatable was about nurturing patient and caregiver interest by appealing to intrinsic motivators. Adapting to patient and caregiver needs and preferences required tailoring the approach for individuals and the target community. Strategies and actions to support these themes may support more diverse and equitable involvement of patients and caregivers in research in CKD.

Recruitment of a Diverse Community-based Older Adult Cohort for a Longitudinal Aging Study: The 15104 Seniors Project.

Enrolling individuals from underrepresented ethnoracial groups in aging research is often a challenge. We sought a diverse sample of older adults from a small-town area for a longitudinal aging study. We employed an intensive community engagement approach encompassing a range of recruitment strategies. Over 4 years a steady trickle of individuals, 66% self-identifying as Black, signed up for study information; the proportion of those who eventually enroll in the study has been rising each year, from 68% to 94%. Community events, word-of-mouth referrals, and mailed postcards brought in the most contacts. The highest percentage of contacts who ultimately enrolled were from postcards, flyers, and word-of-mouth. Significantly more word-of-mouth referrals were endorsed by Black individuals than White and by Black men than other race/sex groups. We have had some success in building relationships and trust with the local community, enrolling Black study participants in a proportion equal to their representation in the target community using a variety of recruitment methods. Patience, immersion in the community, and partnerships with key community members alongside traditional advertisements, and the utilization of study participants as recruiters are critical to designing optimal, targeted, recruitment strategies.

PEMENUHAN GIZI DAN PENINGKATAN PENDAPATAN MASYARAKAT DENGAN BUDIDAYA SAYURAN DI LAHAN PEKARANGAN

Fulfilling people's food needs faces many obstacles, especially due to changes in environmental conditions, such as climate change, land conversion, and the increasing number of cases of pest attacks and plant diseases which cause a decrease in crop yields. The solution offered is to use yard land for cultivating plants. Apart from being able to be used for daily consumption, the harvest from the yard can also be sold as a side business for family members. The community service program aims to assist the target community in increasing their knowledge and skills in optimally utilizing yard land for cultivating vegetable crops. The method used is community empowerment with activities: counseling, training and participatory mentoring of target community groups. The results of the implementation of the community service program show an increase in community knowledge and skills in cultivating vegetable plants in their yards. Planting vegetable plants in the yard can be a source of food, medicine and environmental beauty, as well as increasing people's income.

International pre-service teachers’ anxiety and coping strategies: Perspectives of a geographically disadvantaged Islamic boarding school

This study aims to delve into anxiety experienced by international pre-service teachers who taught English in a very remote Islamic boarding school in Malaysia and how they cope with their feelings. This study employs narrative inquiry involving two research participants. The findings reveal that both participants felt anxious particularly because the students have very diverse English competencies which further creates negative effects such as unequal class participation, losing interest, etc. which subsequently affect classroom management. Varying teaching techniques and employing strategies favoured by the majority of students are considered to be the best ways to improve both their class participation and learning interest; hence, alleviating their anxiety. They include teaching through language games, learning through songs, grouping students in varied competence levels, and prized quizzes. Cultural differences are also the factors causing their anxiety, further calling for intercultural competence when living through cross-cultural encounters. Immersing in the target community is a strategic way to achieve such competence. This article ends with further pedagogical implications.

MuLX-QA: Classifying Multi-Labels and Extracting Rationale Spans in Social Media Posts

While social media platforms play an important role in our daily lives in obtaining the latest news and trends from across the globe, they are known to be prone to widespread proliferation of harmful information in different forms leading to misconceptions among the masses. Accordingly, several prior works have attempted to tag social media posts with labels/classes reflecting their veracity, sentiments, hate content, and so on. However, in order to have a convincing impact, it is important to additionally extract the post snippets on which the labelling decision is based. We call such a post snippet the rationale . These rationales significantly improve human trust and debuggability of the predictions, especially when detecting misinformation or stigmas from social media posts. These rationale spans or snippets are also helpful in post-classification social analysis, such as for finding out the target communities in hate-speech, or for understanding the arguments or concerns against the intake of vaccines. Also it is observed that a post may express multiple notions of misinformation, hate, sentiment, and the like. Thus, the task of determining (one or multiple) labels for a given piece of text, along with the text snippets explaining the rationale behind each of the identified labels is a challenging multi-label, multi-rationale classification task, which is still nascent in the literature. While transformer -based encoder-decoder generative models such as BART and T5 are well suited for the task, in this work we show how a relatively simpler encoder-only discriminative question-answering (QA) model can be effectively trained using simple template-based questions to accomplish the task. We thus propose MuLX-QA and demonstrate its utility in producing (label, rationale span) pairs in two different settings: multi-class (on the HateXplain dataset related to hate speech on social media), and multi-label (on the CAVES dataset related to COVID-19 anti-vaccine concerns). MuLX-QA outperforms heavier generative models in both settings. We also demonstrate the relative advantage of our proposed model MuLX-QA over strong baselines when trained with limited data. We perform several ablation studies, and experiments to better understand the effect of training MuLX-QA with different question prompts, and draw interesting inferences. Additionally, we show that MuLX-QA is effective on social media posts in resource-poor non-English languages as well. Finally, we perform a qualitative analysis of our model predictions and compare them with those of our strongest baseline.

Community hiding: Completely escape from community detection

Community detection algorithms play an important role in revealing and analyzing complex network structures. However, when these algorithms are put into practice, privacy concerns often arise, especially when community nodes wish to safeguard their identities from exposure. This interaction between network analysis and privacy issues leads to what we refer to as the “community hiding problem.” In the context of concealing specific target communities, popular methods primarily focus on preventing community detection algorithms from accurately identifying the entire original community, resulting in partial concealment. This study formally addresses the challenge of achieving complete concealment of target communities. We introduce key metrics such as escape scores, dispersion scores, and hiding scores to precisely define the problem. Additionally, we design a metric, denoted as M-value, to evaluate the effectiveness of concealing target communities from multiple perspectives. To tackle this challenge, we employ a genetic algorithm that leverages previous knowledge to maximize the concealment of the target community while minimizing changes to link connections. We validate our approach through extensive experiments with various real-world datasets, demonstrating that our algorithm outperforms several state-of-the-art baseline algorithms across multiple metrics. Visual representations of our method confirm its ability to effectively hide target communities while minimally affecting the broader network's community structure, strengthening the inherent effectiveness of our community hiding approach. Furthermore, we assess the adaptability of our modified network with different community detection algorithms, consistently demonstrating effective concealment even when these algorithms are extended. This emphasizes the robustness and generality of our proposed approach in various algorithmic scenarios.

PENYULUHAN DAN PENDAMPINGAN PENGOLAHAN KOTORAN TERNAK SAPI DI DUSUN MONGGE-2 MENJADI PUPUK ORGANIK PADAT

Mongge-2 Hamlet, one of the hamlets in the Penyangga Village area. Services activity accompanied by assistance in processing livestock manure to produce organic fertilizer to support sustainable integrated farming system in this hamlet. The aim is to empower the community with productive activities through optimizing the potential of natural resources and human resources by involving relevant stakeholders. This service activity will be carried out in 2023, starting with a location survey activity. The next activity is coordinated to determine target communities to be given regular counseling and assistance to produce solid organic fertilizer and how to apply it in the field. After the outreach and mentoring activities are carried out, monitoring, reporting and publication are carried out. The organic fertilizer produced is applied to garden and agricultural cultivation around Mongge-2 Hamlet. This organic fertilizer is expected to play a role in improving the soil and is expected to reduce the use of synthetic fertilizers and increase the fertility of the media used. so that agricultural products are healthier for consumption. Further research needs to be carried out to determine the content of the organic fertilizer produced and its effect on the growth of agricultural cultivation of certain commodities.

Peningkatan Kemampuan Kewirausahaan Ibu-ibu Rumah Tangga Di RW 18 Kalurahan Baciro Kota Yogyakarta Melalui Pembuatan Ecoprint

The high poverty rate in DIY requires efforts to increase people's income. Some things that need to be done are creating jobs for people in the lower classes, increasing farmers' income, and increasing the income of small businesses. Poverty alleviation programs need to be held by the conditions of the target community and their environment. Based on the monographic data obtained, it is known that the majority of residents in RW 18, Baciro Subdistrict, make their living as laborers and small traders, MSMEs in RW 18, Baciro Subdistrict are still not developed, homemakers in RW 18, Baciro Subdistrict are still unemployed, and less productive. Most homemakers need help generating income to help with household finances. For this reason, activities are needed to empower the community, especially homemakers, to earn income to meet family needs. Homemakers need to be encouraged to be more creative by making products that have economic value. This community service activity aims to improve the entrepreneurial abilities of homemakers in RW 18 Baciro Village. Service activities are carried out in the form of counseling about the importance of developing skills in the field of entrepreneurship, followed by training on how to make Ecoprints that are economically valuable. Furthermore, in the third stage, digital content creation and online marketing training were carried out to support promoting and marketing eco-print products. As a result of this PKM activity, homemakers in RW18, Baciro Village, Gondokusuman District, Yogyakarta, know and understand the importance and benefits of entrepreneurship and have skills in making economically valuable eco prints. However, forming an ecoprint business group and entrepreneurship counseling activities are still needed Intense.

Situational awareness-enhancing community-level load mapping with opportunistic machine learning

Motivated by present and forthcoming challenges in the adoption and integration of distributed renewable energy, we develop a machine learning (ML) approach that builds short-fuse mappings connecting the occasionally-unobservable true load in one target community with information-rich signals collected from relatively more instrumented reference communities. Our setting is inspired by and tailored to target communities with significant unobservable behind-the-meter solar generation, where true load (a relatively well-behaved quantity of interest to grid operators) is hard to discern during daytime due to insufficient instrumentation and/or privacy reasons, but that can be related to reference communities with low unobservable distributed variable generation or with sufficient instrumentation. The developed mapping, herein realized with Support Vector Machine regression, is built using nighttime data from all communities, when their distributed generation is low or zero. Our ML algorithm opportunistically learns to correlate signals of interest and then is operationally used the next day to shed light into target community load evolution. The mapping is subsequently rebuilt, rolling its short-fuse scope perpetually forward in time. We demonstrate the efficacy of our approach on nine synthetically generated topologies and associated timeseries stemming from real-world data, on which we observe cumulative error performance that yields lower than 10% and 15% daily-averaged mean absolute percentage errors in target community load estimation on more than about 75% and 90% of days, respectively, in multiple yearly evaluations that shed light on long-term performance also under seasonal and one-off effects. The proposed ML-powered methodology can offer grid operators much-improved visibility into a previously obscure space and can also serve as an additional source of information in broader, multi-modal solar disaggregation solutions.

Understanding the interactions of genotype with environment and management (G×E×M) to maize productivity in Conservation Agriculture systems of Malawi.

Climatic variability and soil fertility decline present a fundamental challenge for smallholder farmers to determine the optimum management practices in the production of maize. Optimizing genotype (G) and management (M) of maize under different environmental conditions (E) and their interactions are essential for enhancing maize productivity in the smallholder sector of Malawi where maize is the main staple food. Here, we evaluated over seven seasons, the performance of four commercial maize genotypes [including hybrids and one open pollinated variety (OPV)] managed under different Conservation Agriculture (CA) and conventional practices (CP) across on-farm communities of central and southern Malawi. Our results revealed significant G×E and E×M interactions and showed that hybrids such as DKC 80-53 and PAN 53 outyielded the other hybrid and the OPV in most of the environments while the OPV ZM523 had greater yields in environments with above-average rainfall and shorter in-season dry spells. These environments received a maximum of 1250 mm to 1500 mm of rainfall and yet the long-term averages were 855 mm and 1248 mm, respectively. Despite yielding lower, the OPV ZM523 also exhibited higher yield stability across environments compared to the hybrid MH 30, possibly due to its resilience to drought, heat stress, and low soil fertility conditions which are often prevalent in the target communities. Conservation Agriculture-based practices outyielded CP across the genotypes and environments. However, amongst the CA-based systems, intercropping of maize with pigeonpea [Cajanus cajan (L.) Millsp] and cowpea (Vigna unguiculata Walp.) performed less than monocropping maize and then rotating it with a legume probably due to competition for moisture between the main and the companion crops in the intercrop. The key findings of this study suggest the need to optimize varietal and management options for particular environments to maximize maize productivity in Malawi. This means that smallholder farmers in Malawi should adopt hybrids and CA-based systems for enhanced yields but could also consider OPVs where the climate is highly variable. Further rigorous analysis that includes more abiotic stress factors is recommended for a better understanding of yield response.

PEMBERDAYAAN MASYARAKAT MELALUI OPTIMALISASI BRANDING PRODUK ORGANIK DI DESA JATILUWIH KABUPATEN TABANAN-BALI

Agriculture is the mainstay sector for Tabanan Regency, especially Jatiluwih Village, Penebel District. Most of the people, 87%, have their main livelihood in the agricultural sector, namely: rice farming, plantations and animal husbandry. There is organic farming land and horticultural farming land with a land area of 114.59 hectares. This service aims to increase the knowledge and skills of the target community regarding product branding in an effort to increase the added value of agricultural products. The methods used in this service activity are observation, interviews, discussions and lectures, where the implementing team conducts dialogues discussing agricultural product branding. The results of the service show that strengthening agricultural products through product branding is able to develop, promote and build public brand awareness of agricultural products. In this way, agricultural products are able to compete in product exhibitions and can be used as souvenirs typical of the Jatiluwih Tourism Village, which has an impact on improving the community's economy significantly

Increased Understanding of Legal Awareness Regarding the Preparation of Written Sales and Purchase Agreements/Contracts in Order to Support Community Economic Activities in Tajun Village, Buleleng Regency

Agreements/contracts are very important in the business world, including in the buying and selling of agricultural and plantation products. In buying and selling transactions for agricultural and plantation products, farmers in carrying out transactions have very little understanding of written sales and purchase agreements and only use verbal agreements and are limited to notes/receipts with middlemen, wholesalers or exporters. There are still many practices that are underhand or carried out without being based on legal agreement/contract documents. The Tajun Village community's understanding of making sales and purchase agreements/contracts is still limited, as a result, activities that should be accompanied by legal documents in the form of agreements/contracts are not yet available. The aim of implementing this community service program is to: (1) increase the understanding of farmer groups in Tajun Village regarding the anatomy of contract agreements and the importance of sales and purchase agreements/contracts (2) train partners' skills in drafting sales and purchase agreements/contracts. The method used in implementing this community service program activity is a pick-up and drop-off system. The results show that the program has been implemented according to plan. From the implementation of this community service program, the target community benefits in the form of increasing partners' understanding regarding legal awareness and written sales and purchase agreements/contracts and being able to draw up simple sales and purchase agreements/contracts in order to support the economic activities of the community in Tajun Village.

Physical habitat modeling for river macroinvertebrate communities

Habitat models rarely consider macroinvertebrate communities as ecological targets in rivers. Available approaches mainly focus on single macroinvertebrate species, not addressing the ecological needs and functionality of the whole community.This research aimed at providing an approach to model the habitat of the macroinvertebrate communities. The study was carried out in three rivers, located in Italy and characterized by a braiding morphology, gravel riverbeds, and low flows during the summer period. The approach is based on the recently developed Flow-T index, together with a Random Forest (RF) regression, which is employed to apply the Flow-T index at the mesohabitat scale. Using different datasets gathered from field data collection and 2D hydrodynamic simulations, the model was calibrated in the Trebbia River (2019 field campaign) and validated in the Trebbia, Taro, and Enza rivers (2020 field campaign).The RF model selected 12 mesohabitat descriptors as important for the macroinvertebrate community. These descriptors belong to different frequency classes of water depth, flow velocity, substrate grain size, and connectivity to the main river channel. The cross-validation R2 coefficient (R2cv) of the training dataset was 0.71, whereas the R2 coefficient (R2test) for the validation dataset was 0.63. The agreement between the simulated results and the experimental data shows sufficient accuracy and reliability. The outcomes of the study reveal that the model can identify the ecological response of the macroinvertebrate community to possible flow regime alterations and river morphological modifications.Lastly, the proposed approach allowed to extend the MesoHABSIM methodology, widely used for the fish habitat assessment, to a different ecological target community. Further applications of the approach can be related to ecological flows design in both perennial and non-perennial rivers, including river reaches in which fish fauna is absent.

PENINGKATAN MUTU BIJI KAKAO MENGGUNAKAN TEKNOLOGI FERMENTASI DI DESA MASARI, PARIGI MOUTONG

Masari village is one of the cocoa production centers in Parigi Moutong regency, but in recent years cocoa production has decreased. The decline in cocoa production was due to the low selling value of cocoa beans, thereby reducing farmers' income. Farmers uncertain income caused the transition of crop commodities into plantation and food crops. The low selling value of cocoa beans was caused by the low quality of cocoa beans. One of the factors that caused the low quality of beans was post-harvest management, which is the cocoa bean fermentation process that is rarely done by the farmers. This community service program aims to provide knowledge about the correct bean fermentation method so they can improve the quality of cocoa beans. Service activities are carried out using counseling and training methods followed by demonstrations on how to ferment cocoa beans. In general, the counseling activity about the selection of cocoa pods that are ready to be harvested and fermentation procedures went well. The seed demonstration activity was also successful which was indicated by brown cocoa beans and had a fragrant smell. The target community already can carry out a good cocoa bean fermentation process. Cocoa bean fermentation technology can be used to improve the physical and chemical quality of cocoa beans so it can increase the value and sales of cocoa beans. The increase in sales will encourage farmers to develop a cocoa-based farming system.

Teachers’ Attitudes Toward the Use of a Minority Language as the Language of Instruction in Primary Schools in India

This study evaluates the attitudes of primary school teachers in Rabhalanguage- majority areas of Assam, a state in India about the use of Rabha as a language of instruction in the light of the new National Education Policy 2020. Fifty one school teachers were surveyed and 15 teachers were interviewed using the triangulation method. This article makes a case for advocacy and mobilization of the community for successful implementation of educational policies. Even well-intended policies might not achieve success if the target community is not convinced of the positive outcomes of the policy recommendations. The findings of the study reveal that though the teachers were overtly supportive of the use of Rabha in the classroom, they displayed subtle resistance toward its use due to the widespread misconception that if education is not imparted in more mainstream languages, students will lose important educational and employment opportunities. The authors make recommendations for carrying out proper advocacy and mobilization drives in order to create awareness about the advantages of mother tongue-based multilingual education.

Towards quantifying the communication aspect of resilience in disaster-prone communities

In this study, we investigate the communication networks of urban, suburban, and rural communities from three US Midwest counties through a stochastic model that simulates the diffusion of information over time in disaster and in normal situations. To understand information diffusion in communities, we investigate the interplay of information that individuals get from online social networks, local news, government sources, mainstream media, and print media. We utilize survey data collected from target communities and create graphs of each community to quantify node-to-node and source-to-node interactions, as well as trust patterns. Monte Carlo simulation results show the average time it takes for information to propagate to 90% of the population for each community. We conclude that rural, suburban, and urban communities have different inherent properties promoting the varied flow of information. Also, information sources affect information spread differently, causing degradation of information speed if any source becomes unavailable. Finally, we provide insights on the optimal investments to improve disaster communication based on community features and contexts.

Penerapan Teknologi Varian Rasa dan Kemasan “Cassava Frozen” pada Kelompok Wanita Tani Melati

This community service activity involves 1 partner, namely the Women Farmers Group (KWT) "Melati". The partner's problem is the lack of knowledge and skills. Partners don't know how to make flavor variants in frozen cassava, they can only make the original one. KWT women's lack of knowledge about good and hygienic packaging to attract consumer interest. The goal to be achieved is that it is hoped that the target community, especially KWT Melati, can apply the correct technology for flavor variants and frozen cassava packaging so that it can increase production and sales, thereby increasing the income of KWT members in particular and the community in general. The methods used in implementing this Community Service Program are counseling, training, technology demonstrations and mentoring. The results of the training on making frozen cassava with various flavors and packaging were attended by 30 members of the housewife group. Participants easily received the material because the training in making frozen cassava with various flavors and packaging technology was easy to do, the equipment used was simple, the ingredients were easy to obtain, especially cassava, which was always available, easy to apply in the household and participants were satisfied with the training provided.

Action Research in Agricultural Development Projects: Case Study of a Dairy Project in Ethiopia

AbstractFor development projects, an action research approach is often encouraged to enhance participation of end-users or beneficiaries at various stages of the project to realize the desired social transformation in the target communities. The project under consideration in this study adopted action research for some of its activities. A review of the project action research activities was conducted as part of the strategic reflection for lesson learning and to inform modification where necessary. The objectives of this study were (i) to assess the relevance of action research approach to implementation of project activities and, (ii) to draw lessons for agricultural development projects applying participatory approaches. Fifty-one participants involved in the project action research activities were interviewed on their understanding of action research, its strengths, weaknesses, opportunities and threats, and level of participation in action research activities. The perception of the participants interviewed regarding action research approach was that it is relevant and important for the project, and that it has provided a good platform for learning by all participants. Some key lessons from this study for development projects when applying action research approach include the need to focus on a limited number of issues or activities that can produce social transformation in the target communities, and the necessity of adequate planning for monitoring and documentation of learning by participants. From our study, action research is a pertinent approach in community development projects, but it should be well-planned to achieve the desired objective of social transformation in the target communities.

Promoting Learning About Local Food Security by Applying Environmental Education Processes to People in Central Part of Thailand

The objective of this research is twofold: firstly, to examine the level of local food security and the community members’ understanding of environmental education; and secondly, to develop a model that enhances local food security by implementing the environmental education practices of the community residents. Utilized mixed-methods research. Data were gathered via a questionnaire, a group discussion, and a workshop. A total of 378 respondents were chosen for the questionnaire using multi-stage selection, while 45 respondents were chosen using purposive sampling. Furthermore, a total of 32 community volunteers were extended an invitation to participate in the workshop. This study included descriptive statistics and content analysis. The findings indicate that the target communities have an average perception level of 3.19 regarding local food security, while their knowledge about the environment is at a high level of 4.01. The study identifies five key components for establishing local food security, namely: (1) learning local food identity; (2) inheriting local wisdom; (3) transmitting local food knowledge; (4) managing sources of local food; and (5) building local networks.

Donation Campaign

In today's dynamic world, community development stands as a cornerstone for societal progress. However, numerous communities around the globe face various challenges hindering their growth and well-being. In response, our project aims to launch a donation campaign focused on addressing these challenges and fostering sustainable development within underserved communities. Through strategic planning and community engagement, we aspire to make a meaningful impact and create positive change on a grassroots level. The donation campaign seeks to address pressing issues such as poverty, education gaps, healthcare deficiencies, and environmental degradation within marginalized communities. By providing targeted assistance and resources, we aim to uplift these communities and empower individuals to break the cycle of poverty. The primary objective of the campaign is to mobilize resources and support from individuals, businesses, and organizations to fund initiatives that promote community development. These initiatives include but are not limited to providing access to education, healthcare services, clean water, sustainable livelihood opportunities, and environmental conservation efforts. Our campaign targets individuals and entities passionate about social impactand community development. This includes philanthropists, corporate entities with corporate social responsibility (CSR) initiatives, foundations, and individuals looking to make a difference in the lives of others. The campaign will employ a multi-faceted approach, utilizing various communication channels such as social media, traditional media, community events, and partnerships with local organizations to raise awareness and solicit donations. We will also leverage technology to facilitate easy and secure donation processes, ensuring transparency and accountability. The campaign will be executed in phases, starting with a comprehensive needs assessment to identify priority areas within target communities. Following this, fundraising activities will be initiated, alongside community engagement efforts to ensure buy-in and participation from local stakeholders. Funds raised will be allocated towards implementing sustainable solutions tailored to the specific needs of each community. Our donation campaign for community development represents a concerted effort to address systemic challenges faced by marginalized communities. By harnessing the collective power of donors and stakeholders, we aim to foster inclusive growth and create a brighter, more sustainable future for all. Join us in making a meaningful difference and building stronger, more resilient communities.