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2022 ◽  
Vol 6 (GROUP) ◽  
pp. 1-18
Author(s):  
Fanlu Gui ◽  
Chun-Hua Tsai ◽  
John M. Carroll

Volunteers in non-profit groups are a valuable workforce that contributes to economic development and supports people in need in the U.S. However, many non-profit groups face challenges including engaging and sustaining volunteer participation, as well as increasing visibility of their work in the community. To support non-profit groups' service, we explored how engaging community members in the volunteer-acknowledgment process may have an impact. We set up workstations and invited community members to write thank-you cards to volunteers in non-profit groups. We conducted 14 interviews with volunteers and community members, collected and analyzed 25 thank-you cards. We found that the acknowledgment activity can help circulate social goods through multiple stakeholders, that authenticity was valued in the acknowledgment process, and that non-profit groups intended to distribute, reuse, and publicize the acknowledgments to utilize them to a fuller extent. Our contributions include expanding knowledge on experiences, needs, and impact of community acknowledgment from different stakeholders, as well as presenting design opportunities.


2021 ◽  
Author(s):  
◽  
Donelle McKinley

<p>Research problem: The New Zealand Reading Experience Database (NZ-RED) is a crowdsourced history of reading project based on the UK-RED launched in 1996. The purpose of this study is to produce high-level functionality and usability requirements for a NZ-RED task interface that supports volunteer participation and rich data collection, and to determine the extent to which the UK-RED task interface meets these requirements.  Methodology: The case study takes a mixed-methods approach informed by grounded theory. Data was collected from RED project documentation and research, a usability inspection of the UK-RED task interface using evidence-based heuristics developed by Petrie & Power (2012), an online questionnaire of 112 current and potential RED contributors, an examination of recent crowdsourcing projects, and literature on crowdsourcing and human-computer interaction.   Results: This study established seven functionality and usability requirements for a NZ-RED task interface that supports volunteer participation and rich data collection: minimize user effort; support integration of the task with research processes; enable new visitors and contributors to understand what the task involves quickly and easily; support accurate and controlled data entry; be easy to use for people reasonably confident with the Web; support flexible, structured data entry; and support bilingual data entry. The UK-RED task interface partially meets four of the seven requirements.  Implications: Evidence-based requirements that inform project development and evaluation contribute to the social sustainability of crowdsourcing projects driven by academic and cultural heritage institutions. Future research could review the requirements produced by this study and consider their impact on the social sustainability of the NZ-RED and, potentially, World-RED partners. An increase in published requirements documentation could help to inform the requirements activity of other crowdsourcing projects, thereby reducing the time and expertise required. Future research could also investigate the value of studies like this one for other crowdsourcing projects.</p>


2021 ◽  
Author(s):  
◽  
Donelle McKinley

<p>Research problem: The New Zealand Reading Experience Database (NZ-RED) is a crowdsourced history of reading project based on the UK-RED launched in 1996. The purpose of this study is to produce high-level functionality and usability requirements for a NZ-RED task interface that supports volunteer participation and rich data collection, and to determine the extent to which the UK-RED task interface meets these requirements.  Methodology: The case study takes a mixed-methods approach informed by grounded theory. Data was collected from RED project documentation and research, a usability inspection of the UK-RED task interface using evidence-based heuristics developed by Petrie & Power (2012), an online questionnaire of 112 current and potential RED contributors, an examination of recent crowdsourcing projects, and literature on crowdsourcing and human-computer interaction.   Results: This study established seven functionality and usability requirements for a NZ-RED task interface that supports volunteer participation and rich data collection: minimize user effort; support integration of the task with research processes; enable new visitors and contributors to understand what the task involves quickly and easily; support accurate and controlled data entry; be easy to use for people reasonably confident with the Web; support flexible, structured data entry; and support bilingual data entry. The UK-RED task interface partially meets four of the seven requirements.  Implications: Evidence-based requirements that inform project development and evaluation contribute to the social sustainability of crowdsourcing projects driven by academic and cultural heritage institutions. Future research could review the requirements produced by this study and consider their impact on the social sustainability of the NZ-RED and, potentially, World-RED partners. An increase in published requirements documentation could help to inform the requirements activity of other crowdsourcing projects, thereby reducing the time and expertise required. Future research could also investigate the value of studies like this one for other crowdsourcing projects.</p>


2021 ◽  
Author(s):  
R. Mader ◽  
N. Jarrige ◽  
M. Haenni ◽  
C. Bourély ◽  
J.-Y. Madec ◽  
...  

SummaryAntimicrobial resistance is a One Health issue requiring the development of surveillance systems in the human, environmental and animal sectors. In Europe, the surveillance of antimicrobial resistance on zoonotic pathogens and indicator bacteria in healthy food-producing animals has been implemented on a legal basis, while countries are also expected to extend their surveillance to diseased animals in the frame of national action plans. In this context, evaluating existing antimicrobial resistance surveillance systems in veterinary medicine is important to improve systems in place, but also to help other countries learn from these experiences, understand success factors and anticipate challenges. With this aim, the French surveillance network for antimicrobial resistance in bacteria from diseased animals (RESAPATH) was evaluated using the OASIS assessment tool. Key performance factors included (i) a strong and inclusive central institutional organization defining clear and well-accepted surveillance objectives, scope and procedures, (ii) strong skills in epidemiology and microbiology and (iii) a win-win approach enabling the volunteer participation of 71 field laboratories and where a free annual proficiency testing plays a pivotal role. The main area of improvement of RESAPATH was its time-consuming data management system.


2021 ◽  
pp. 003022282110048
Author(s):  
Senay Karadag Arli

The study aims to investigate the relationship between nurses’ attitudes towards caring for dying patients and compassion levels. This cross-sectional study was conducted with the volunteer participation of 130 nurses working in various clinics in a hospital located in eastern Turkey between March and June 2019. Data were collected through the Socio-demographic Form, the Frommelt Attitude toward Care of Dying Scale (FATCOD), and the Self-Compassion Scale (SCS). A statistically significant difference was found between nurses’ education level and compassion level (p < 0.01). A significant difference was found between the units where they were working and attitude towards caring for dying patients (p < 0.01). A positive, statistically significant relationship was found between the FATCOD total score and SCS total score (p < 0.01). A significant relationship between the compassion level and attitude toward caring for dying patients is an important finding for nurses, who encounter death frequently.


2021 ◽  
Author(s):  
Balaji Hariharan ◽  
Ramesh Guntha

&lt;p&gt;With the &lt;em&gt;Landslide Tracker&lt;/em&gt; mobile app's launch to track landslides through a crowdsourcing model during the monsoon season of 2020, we learned several important lessons that may help us improve the data quality, volunteer participation, and participation from institutions. The '&lt;em&gt;Landslide Tracker&lt;/em&gt;' mobile application allows tracking the landslides and details such as GPS location, date &amp; time of occurrence, images, type, material, size, impact, area, geology, geomorphology, and comments. This app is available on Google Play Store for free, and at http://landslides.amrita.edu, with software conceived and developed by Amrita University in the context of the UK NERC/FCDO funded LANDSLIP research project (http://www.landslip.org/). The &lt;em&gt;Landslide tracker&lt;/em&gt; app was released during the 2020 monsoon season, and more than 250 landslides were recorded through the app across India and the world.&lt;/p&gt;&lt;p&gt;Due to the nature of crowdsourcing, we have seen test entries, duplicate entries, entries with apparent mistakes such as the wrong location. In many cases, these entries were deleted by the administrator through proactive verification. To sustain the removal of invalid entries with continued usage, we can allow users to mark a landslide for verification. The administrator can remove invalid entries or approach the original contributor to update the data with minimum effort. Currently it takes under three minutes to record a landslide. To reduce the time further, it is requested to make a single page form to record date, location, images and few questions. To improve volunteer participation for contributing and validating landslide entries, we can implement digital rewards such as points, badges, titles, leader boards, etc. Additionally, allow users to like, comment, and share the landslide entries to improve the engagement. To improve the participation of universities, disaster management authorities, district authorities, and other governmental and non-governmental agencies for contributing and using landslide information, we can implement the institutional management functionality. It allows the institution to configure the staff and manager user. The manager can review, update, delete entries from the team, get reports on the contribution of the staff, and download and share the landslides contributed by the whole institution.&lt;/p&gt;


2021 ◽  
pp. 32-47
Author(s):  
Olga A. Basheva ◽  
◽  
Andrei V. Nevskii ◽  

В статье описаны предварительные выводы о характере волонтёрских организаций и особенностях участия в них, в частности возраст вхождения в волонтёрство, формы участия и каналы рекрутирования, финансовые и временные затраты на волонтёрскую деятельность, изменения в социальном окружении индивида с началом волонтёрской деятельности. Отдельно рассмотрены вопросы, связанные с участием в спасательном волонтёрстве, а именно типы чрезвычайных ситуаций, в которых приходилось участвовать российским добровольным спасателям, распределение ролей и гендерное соотношение в зависимости от выполняемых функций, взаимосвязь профессиональных навыков и волонтёрской работы, а также специальных навыков, которые необходимо приобрести для участия в ЧС. Также внимание уделено причинам выхода из волонтёрства.


2020 ◽  
Vol 30 (11n12) ◽  
pp. 1707-1733
Author(s):  
Zhang Zhang ◽  
Xinjun Mao ◽  
Yao Lu ◽  
Jinyu Lu ◽  
Yue Yu ◽  
...  

Stack Overflow is the most popular programming question and answer community that continuously receives a large number of questions every day. To ensure the quality of questions, the community grants privileges for the moderators and a group of experienced users to review the quality of questions and close the low-quality ones (e.g. duplicate or irrelevant questions). The review process is a typical crowdsourcing job that relies on users’ volunteer participation, and the current practices of closing questions in Stack Overflow face two aspects of challenges: (1) an obvious increase in both the absolute number and the percentage of “closed” questions; (2) a considerable decrease in participation willingness of experienced users to close questions. In order to solve the problem, we present a novel model of user willingness for reviewing and voting questions by incorporating four types of user activity history, including questions, answers, comments and votes of closing questions. Then we propose an automatic recommendation method based on the model to assign experienced users proper questions, to utilize the forces of them to close questions. The evaluation shows that the successful recommendation probability in the top 5, top 10, top 20, top 30, top 40, top 50 users are 48.23%, 58.93%, 68.83%, 74.27%, 78.13% and 81%, respectively.


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