Global Audience Research Articles

Writing for publication in peer reviewed Nursing journals - the need to consider the Global Audience

Writing for publication in peer reviewed Nursing journals - the need to consider the Global Audience

Writing for publication in peer reviewed Nursing journals - the need to consider the Global Audience

Writing for publication in peer reviewed Nursing journals - the need to consider the Global Audience

Campaign Governance and Partnerships: Unraveling COVID-19 Vaccine Promotion Efforts in China's Neighborhoods.

COVID-19 vaccine promotion helps counter vaccine hesitancy and raise vaccine acceptance. Therefore, the Chinese state created collaborative infrastructures of COVID-19 vaccine promotion programs to promote stakeholder engagement and unload the burden of policy practitioners. However, partnerships in COVID-19 vaccine promotion programs have been underrepresented. To address this lacuna, we qualitatively explored how partnerships in the COVID-19 vaccine promotion campaign (CVPC) were organized in China's neighborhoods. Specifically, we recruited participants via personal networks, referrals from acquaintances, and snowballing approaches, and conducted the qualitative thematic analysis following interviews with 62 Chinese stakeholders. This study indicates that to promote partnerships in CVPCs, neighborhood managers formed leadership in CVPCs, expanded the collaborative network, trained Health Promotion Practitioners (HPPs), and coordinated with HPPs to shape partnership agreements, produced COVID-19 vaccine promotional materials and advertised COVID-19 vaccines via diverse media tools. Although coproduction of CVPCs to a certain extent promoted state-society interaction in neighborhoods and state responsiveness to public demands, partners' disagreements on strategies applied by states for promoting COVID-19 vaccines eroded partnerships in CVPCs. To construct a robust partnership in CVPCs, depoliticizing CVPCs and creating shared values among stakeholders in CVPCs are expected. Our study will not only deepen global audiences' understanding of CVCPs in China but also offer potential neighborhood-level solutions for implementing local and global health promotion efforts.

Curriculum‐based CME Programming Results in Comprehensive Improvements in Knowledge, Competence, and Confidence in Diagnosing Early Forms of Alzheimer’s Disease Among a Global Audience of PCPs and Neurologists

AbstractBackgroundEarly diagnosis of Alzheimer’s disease (AD) is crucial for ensuring patients have timely access to essential care. Given the symptoms of early AD are often subtle, it is important that both primary care physicians (PCPs) and neurologists are able to diagnose their patients. Several sources of evidence have indicated that most PCPs and neurologists lack knowledge, competence, and confidence regarding recognition of early forms of AD. To address the clinical practice gaps, a series of CME‐certified programs covering the symptoms, assessment, and diagnosis of early forms of AD were developed.MethodThe data presented here are based on outcomes from four online CME‐certified multimedia programs housed on a single destination page. Each CME‐certified program utilized expert physicians to educate learners on recognizing early forms of AD. Each CME program asked a series of pre‐post questions designed to assess immediate changes in knowledge, competence, or confidence. The questions were grouped into clinically relevant themes. The educational effect for all of the programs was determined by using a paired‐samples t‐test to identify significant differences between pre‐ and post‐assessment responses for each question. Data across all four programs were collected from February 2022 through December 2022. All four programs were promoted to an audience of US‐ and ex‐US physicians.ResultParticipation across the four programs ranged from 543 to 2,510 PCPs and 256 to 1,025 neurologists. PCPs and neurologists demonstrated significant (P<0.05) pre‐vs post education improvements on the following themes: biomarkers in AD, clinical trial outcomes, cognitive assessment scales, diagnosis of AD, diagnosis of mild cognitive impairment (MCI), and symptoms differentiating AD from MCI. Participation in the education also significantly (P<0.001) improved confidence in the identification of early forms of AD among PCPs and neurologists. No substantial differences in knowledge, competence, or confidence were seen for either clinician group based on geographic location of the learner.ConclusionThe results indicated that clinicians who participated in CME‐certified curriculum‐based education in multiple formats were better prepared to recognize early forms of AD. Future education should continue to discuss the use of clinical strategies to recognize early forms of AD.

Curriculum‐based CME Programming Results in Comprehensive Improvements in Knowledge, Competence, and Confidence in Diagnosing Early Forms of Alzheimer’s Disease Among a Global Audience of PCPs and Neurologists

AbstractBackgroundEarly diagnosis of Alzheimer’s disease (AD) is crucial for ensuring patients have timely access to essential care. Given the symptoms of early AD are often subtle, it is important that both primary care physicians (PCPs) and neurologists are able to diagnose their patients. Several sources of evidence have indicated that most PCPs and neurologists lack knowledge, competence, and confidence regarding recognition of early forms of AD. To address the clinical practice gaps, a series of CME‐certified programs covering the symptoms, assessment, and diagnosis of early forms of AD were developed.MethodThe data presented here are based on outcomes from four online CME‐certified multimedia programs housed on a single destination page. Each CME‐certified program utilized expert physicians to educate learners on recognizing early forms of AD. Each CME program asked a series of pre‐post questions designed to assess immediate changes in knowledge, competence, or confidence. The questions were grouped into clinically relevant themes. The educational effect for all of the programs was determined by using a paired‐samples t‐test to identify significant differences between pre‐ and post‐assessment responses for each question. Data across all four programs were collected from February 2022 through December 2022. All four programs were promoted to an audience of US‐ and ex‐US physicians.ResultParticipation across the four programs ranged from 543 to 2,510 PCPs and 256 to 1,025 neurologists. PCPs and neurologists demonstrated significant (P<0.05) pre‐vs post education improvements on the following themes: biomarkers in AD, clinical trial outcomes, cognitive assessment scales, diagnosis of AD, diagnosis of mild cognitive impairment (MCI), and symptoms differentiating AD from MCI. Participation in the education also significantly (P<0.001) improved confidence in the identification of early forms of AD among PCPs and neurologists. No substantial differences in knowledge, competence, or confidence were seen for either clinician group based on geographic location of the learner.ConclusionThe results indicated that clinicians who participated in CME‐certified curriculum‐based education in multiple formats were better prepared to recognize early forms of AD. Future education should continue to discuss the use of clinical strategies to recognize early forms of AD.

Critical analysis of the construction of Turkish national identity

This paper investigates the relationship between argumentation and political discourse. More specifically, this study focuses on the discursive and argumentative strategies employed by one of the most prominent Turkish leaders and current ruling president, Recep Tayyip Erdoğan. The aim is to shed light on linguistic elements that fuel the sense of national identity after the coup attempt of 2016 through employing the Discourse-Historical Approach (DHA) for unveiling the use of specific argumentative strategies in the translated version of Erdogan’s 2016 Republic Day speech. English's growing presence in politics highly influences translation practices (House 2013). Not all politicians are proficient in English, thus, their speeches undergo translation from their native language. These translated speeches are intended for a global audience, which underscores the pivotal role of English analysis in both political discourse and the field of translation studies. Although the original language of the speech is Turkish, the examination of its English translation serves to highlight the significance of analysing translated political speeches and making these analyses accessible to a wider audience. The findings emphasise the importance of argumentative topics (topoi), such as the topos of History, Definition, Comparison, Threat and Favoruable Time in the advocation of national sentiment at various linguistic and structural levels within the translated political speech of Erdoğan. The implications of this research extend to the understanding of the intricate interplay between argumentative language and concepts of national sentiment within political discourse. Future research can further explore the application ofDHA in the analysis of political discourse, allowing for deeper insights into the communicative strategies employed by political leaders.

THE ROLE OF SOCIAL MEDIA IN SCIENCE

Social media platforms provide direct access to a vast amount of information, enabling the promotion of various content. It has become a new way of disseminating news worldwide and often influence social perception and public discourse development. Even scientists are not oblivious to the trend of using social media. Social media allows them to quickly and effectively share their research results with the global audience. Numerous studies indicate that scientists are increasingly participating in public discussions and activities on social media, with nearly half of academic researchers being a part of at least one social network. Media professionals have traditionally been the guardians of scientific information, but new media technologies grant scientists more power than ever to proactively engage in public communication. Many studies also suggest that most scientists consider media visibility important and see responding to journalists as a professional obligation, a stance endorsed by many universities and scientific organizations. Keywords: role, social media, science

Unfolding COVID-19 vaccine communication campaigns in China's neighborhoods: a qualitative study of stakeholders' narratives.

The Chinese state has recently implemented the COVID-19 Vaccine Communication Campaign (CVCC) to counter vaccine hesitancy. Nonetheless, the extant literature that examines COVID-19 vaccine acceptance has less represented COVID-19 vaccine communication efforts. To address this lacuna, we qualitatively explored how CVCCs were organized in Chinese communities by investigating 54 Chinese stakeholders. This study indicates that the CVCC was sustained by top-down political pressure. CVCCs' components involve ideological education among politically affiliated health workers, expanding health worker networks, training health workers, implementing media promotion, communicating with residents using persuasive and explanatory techniques, encouraging multistakeholder partnerships, and using public opinion-steered and coercive approaches. While CVCCs significantly enhanced COVID-19 vaccine acceptance, lacking open communication, stigmatizing vaccine refusers, insufficient stakeholder collaboration, and low trust in the COVID-19 vaccination program (CVP) eroded the validity of CVCCs. To promote the continuity of CVCCs in China, CVCC performers are expected to conduct open and inclusive communication with residents. Furthermore, CVP planers should create robust partnerships among health workers by ensuring their agreements on strategies for implementing CVCCs and optimize COVID-19 immunization service provision to depoliticize CVPs. Our study will not only deepen global audiences' understanding of CVCCs in authoritarian China but also offer potential neighborhood-level solutions for implementing local and global public health communication efforts.

Localization and Global Marketing: Adapting Digital Strategies for Diverse Audiences

In an increasingly interconnected world, businesses aiming for global success must navigate the intricate landscape of localization and global marketing. This manuscript delves into the pivotal strategies required to adapt digital marketing approaches, reaching and engaging diverse audiences worldwide. It emphasizes the significance of adapting digital marketing strategies through localization techniques to effectively cater to diverse global audiences. Staying informed is paramount, as a deep understanding of local news, cultural events, and ongoing conversations within a region is essential for creating content that remains timely and relevant. Active engagement in conversations related to local trends amplifies brand visibility and engagement within the community. Collaborating with local influencers provides an authentic bridge to regional audiences, offering valuable insights into the pulse of local trends. Aligning content with local values, interests, and sensitivities ensures that marketing materials resonate positively with diverse audiences. Additionally, the strategic use of localized hashtags enhances content discoverability. Encouraging user-generated content serves a dual purpose: fostering engagement and authentic endorsements, thereby bolstering brand credibility.

Empowering Global Hematology-Oncology Education: Assessing the Impact of a 1.5-Year Virtual Platform in Combating Miseducation & Inequity

Introduction Social media has revolutionized the global sharing of knowledge, with 77.4% of cancer patients relying on it as their primary medical information resource, especially in resource-limited regions (Ponce et alJCO). However, due to its rapid and unregulated nature, 1/3 of social media posts contain misinformation, with 76.9% of them containing harmful information leading to adverse outcomes. To address this, MedNews Week (MNW), a digital medical education platform dedicated to combating misinformation, was developed to contribute to global hematology-oncology education through its free programming. The Keynote Conference Lecture Series features live virtual presentations from oncology's premier global leaders discussing the latest developments in the field before a mainstream global audience. The aim of this study was to assess the worldwide reach and impact of this virtual oncology education platform. Methods From January 2022 to July 2023, MNW hosted 15 global hematology-oncology leaders (Mean H-index = 73.2) as Keynote Speakers. Viewership, impressions, and outreach data were collected from MNW's social media accounts, Symplur and TweepMaps. Data was analyzed to assess MNW's global viewership, reach, and engagement and stratified based on engagement sentiment, gender, age group, and occupation. Results In 2022, MNW produced a Healthcare Social Graph Score of 92.77%, placing it in the top 7.33 percentile of global healthcare influencers. Over a 12-month period, MNW generated more than 109,128 Twitter impressions with 4,731 engagements, reaching 1.9 million accounts globally ( Figure 1a). A large proportion of followers (73.44%) were from non-healthcare fields with slightly more males than females. The viewership showed a linear exponential increase from 20,527 (6 months) to 50,707 (1 Year) to 290,532 (1.5 Years) ( Figure 1b). The platform's outreach spanned over 150 cities and 70 countries, with 23 of these countries categorized as low-to-middle socioeconomic regions ( Figure 1c). Conclusion Given MNW's performance, it provides a novel model for engaging and disseminating medical information while attracting and sustaining a diverse, global, and growing audience. The platform's ability to spotlight the work of global leaders in the field, free of charge, particularly in lower SE regions, offers a promising approach to combat hematology-oncology educational inequity. Thus, MNW presents an opportunity to inspire audiences worldwide to be proactive, well-informed, and engaged, while narrowing the divide in oncology education.

Unleashing the power of gen-AI for digital education development

Teaching and learning is being transformed by Generative Artificial Intelligence (gen-AI). Gen-AI in the form of tools such as Midjourney and ChatGPT provide opportunities for novel partnerships between human and non-human actors in the field of education. Unlike previous technologies such as augmented and virtual reality, which encountered barriers due to their high costs, complexity, and demanding implementation processes, gen-AI has the potential to more broadly reshape digital pedagogy with its low cost, accessibility, and ease of adoption. In Higher Education, the initial attention on gen-AI was driven by a focus on students utilising AI-text generators in assessments (Rudolph et al., 2023). Yet, for course design and development gen-AI-human partnerships have the potential to yield results that surpass the creativity, originality, and efficiency of individual efforts (Halaweh, 2023). We already have a research base about how human actors collaborate when designing and developing courses to create exceptional student experiences (Chen & Carliner, 2020), but what is possible with the addition of non-human actors? In what way will human-AI partnerships enhance the existing ways that we design and develop courses and programs? Emerging case studies around the use of gen-AI for course design and development shed light on the possibilities as well as the risks involved in these partnerships (Airey et al., 2023). But when this is implemented in practice, what are the possible outcomes? Focusing on the theme of Digital Pedagogy this poster presentation will share examples of how the power of gen-AI has been unleashed for digital education development. Within our context as third-space professionals, we work with academic staff to rapidly develop micro-credentials for a global audience. In this work, we have integrated gen-AI as a non-human partner to help us generate efficiencies in our work and enhance the quality of the courses we output. This poster presentation will share innovative practical examples of how digital educational developers have utilised the affordances of text-based, image-based, and coding-based gen-AI to create artefacts such as interactive learning content and enhanced visuals to support learning. These examples demonstrate how human-non-human partnerships can be leveraged to maximise the human ‘value add’ while gaining time and resource efficiencies in the implementation of digital pedagogies. The examples are unpacked as part of the digital poster to show the ‘behind the scenes’ of how they were created in partnership with gen-AI. Finally, this poster will share the development of sustainable prompts that can be reused in different contexts, thereby further capitalising on the affordances of gen-AI. Due to the recent emergence of gen-AI in teaching and learning, case studies such as this one, are crucial in revealing how we incorporate gen-AI, providing transparency in pedagogical decisions, making them replicable, and open to critical scholarly discussion. As such, the aim of this poster presentation is to explore how gen-AI has been implemented in a way that provides conference delegates with practical examples to engage with and discuss.

Enhancing User Engagement through Hybrid Algorithms in Movie Recommendation Systems

The Netflix Movie Recommendation System is a sophisticated algorithmic solution designed to enhance user experience by providing personalized movie suggestions. This system utilizes a combination of collaborative filtering, content-based filtering, and hybrid approaches to predict and recommend movies that users are likely to enjoy based on their viewing history and preferences. Collaborative filtering leverages the collective behavior of users, identifying patterns and similarities in viewing habits to suggest films. Content-based filtering, on the other hand, analyzes the attributes of movies, such as genre, director, and cast, to recommend titles with similar characteristics. The hybrid approach integrates both methods to overcome individual limitations and improve recommendation accuracy. Netflix employs advanced machine learning techniques, including deep learning and matrix factorization, to handle vast amounts of data and continuously refine the recommendation process. The system also incorporates user feedback, ratings, and implicit signals such as viewing time and interaction patterns to dynamically adapt to changing user preferences. This multi-faceted recommendation engine is critical in retaining user engagement, reducing churn, and enhancing the overall viewing experience on the platform. Through constant innovation and optimization, Netflix aims to deliver highly relevant and enjoyable content to its diverse global audience.

A Review on Full Stack Web Development

Web development is a dynamic and growing field that plays an important role in the development and maintenance of websites and web applications. This abstract provides a brief summary of web development, including its objectives, key technologies, and development process.
 Web development encompasses a range of activities aimed at designing and maintaining websites and web applications accessible through the World Wide Web. It combines engineering, design principles and design. This overview highlights the following key points.
 
 Objectives and importance: Web development is foundational for individuals, businesses and organizations online. It enables the delivery of information, services and interactive experiences to a global audience, affecting communications, marketing, and industry.
 Core Technologies: Web development relies on a core set of technologies, including HTML (Hypertext Markup Language), CSS (Cascading Style Sheets), and JavaScript. HTML structures web content, CSS improves visual design, and JavaScript adds interactivity and functionality. In addition to these core technologies, web development often uses databases, backend languages, and frameworks.
 Development Processes: Interactive development processes typically involve planning, design, development, testing, implementation, and ongoing maintenance. It emphasizes user interfaces, accessibility and flexibility across devices and browsers. The coordination between developers, designers and stakeholders is essential to the success of the project.

Use MOOC to learn image denoising techniques

This article focuses on using MOOCs to learn image denoising techniques. It begins with an introduction to the concept of MOOCs - these innovative online learning platforms that offer a wide range of courses across disciplines, providing convenient and affordable learning opportunities for a global audience. It then explains the characteristics of MOOC's wide coverage, high flexibility, and different from traditional education models. It then introduces the advantages of MOOCs: accessibility and inclusiveness (open to anyone with an Internet connection), cost-effectiveness (a cost-effective alternative, many courses available for free), flexibility and self-paced learning (the ability to learn at your own pace), a diverse curriculum and global expertise. Then the concept of image denoising is introduced - image denoising is a basic process of digital image processing, and the common denoising methods are described: filter method and the applicable range of various filters, the advantages and disadvantages of wavelet change, the advantages of deep learning method and the principle of non-local mean denoising technology. It then describes how MOOCs can help learn image denoising: integrating course content, getting expert guidance, hands-on exercises and projects, and community and peer communication. In addition, it introduces the challenges encountered by MOOCs: high dropout rate, quality and credibility of MOOCs, lack of interaction and humanization in traditional classrooms, accessibility. The relationship between E-learning and MOOC is also introduced – E-learning and MOOC play complementary roles in modern education. MOOC provide a structured, flexible, cost-effective environment and a transformative educational experience for learning about biological image denoising.

Predicting Dropout in Programming MOOCs through Demographic Insights

Massive Open Online Courses (MOOCs) have gained widespread popularity for their potential to offer education to an unlimited global audience. However, they also face a critical challenge in the form of high dropout rates. This paper addresses the need to identify students at risk of dropping out early in MOOCs, enabling course organizers to provide targeted support or adapt the course content to meet students’ expectations. In this context, zero-time dropout predictors, which utilize demographic data before the course commences, hold significant potential. Despite a lack of consensus in the existing literature regarding the efficacy of demographic data in dropout prediction, this study delves into this issue to contribute new insights to the ongoing discourse. Through an extensive review of prior research and a detailed analysis of data acquired from two programming MOOCs, we aim to shed light on the relationship between students’ demographic characteristics and their likelihood of early dropout from MOOCs, using logistic regression. This research extends the current understanding of the impact of demographic features on student retention. The results indicate that age, education level, student status, nationality, and disability can be used as predictors of dropout rate, though not in every course. The findings presented here are expected to affect the development of more effective strategies for reducing MOOC dropout rates, ultimately enhancing the educational experience for online learners.

Preface: 2023 International Conference on Mathematical Modeling, Electronic Information and Algorithm Analysis (ICMEA 2023)

The 2023 International Conference on Mathematical Modeling, Electronic Information and Algorithm Analysis (ICMEA 2023) is a scientific conference, which was held on September 23-24, 2023 in Berlin, Germany. The conference is an international forum for the presentation of technological advances and research results in the fields of mathematical modeling, optoelectronic technology, signal processing, electronic information, algorithm analysis, and computer simulation. The conference will bring together leading researchers, engineers and scientists in the domain of interest from around the world.
 ICMEA 2023 is an opportunity for PhD students in this area to moot their dissertation works to a global audience. The key intention of this seminar is to provide opportunity for the global participants to share their ideas and experience in person with their peers expected to join from different parts of the world. This event also provides an opportunity for researchers in related fields to explore the research conducted by their colleagues in other places and to present their research findings.
 Best regards,
 ICMEA Conference Committees
 Berlin, Germany

Impact of Internet use on industrial value added: evidence from Southeast Asian countries

The Internet facilitates real-time communication and collaboration, enabling seamless coordination in industrial processes. This enhanced connectivity can increase efficiency and productivity in the production chain. Moreover, the Internet provides a platform for businesses to reach a global audience. Expanded market access can contribute to the growth of industrial activities, fostering international trade, and positively impacting industrial value added. Therefore, this study seeks to explore how Internet usage impacts industrial value added across eight Southeast Asian countries, using a sample collected from the World Bank and Global Economy from 1991 to 2021. Two regression methods were employed: fixed-effects and Driscoll-Kraay standard error models. The research findings indicate that Internet growth has a positive effect on industrial value added in Southeast Asian countries. Additionally, the results reveal a positive correlation between industrial value added, economic growth, and trade openness. This study contributes to a deeper understanding of the connection between Internet usage and industrial value added, with profound implications for the economic restructuring of selected Southeast Asian countries.

Programmed Instruction is a System for Sustainable Development of Language Skills

Programmed Instruction (PI) stands as a promising system for fostering sustainable development of language skills in learners. With its roots in behavioral psychology and cognitive learning theories, PI integrates principles of instructional design and technology to create a structured and personalized learning experience. This abstract explores how Programmed Instruction contributes to the sustainable development of language skills, emphasizing its effectiveness, adaptability, and potential for widespread implementation. PI capitalizes on its systematic approach, breaking down complex language concepts into smaller, manageable units. Learners progress through these units sequentially, building a solid foundation before moving to more advanced topics. This systematic structure ensures a sustainable learning curve, preventing cognitive overload and fostering long-term retention. Moreover, the adaptability of PI enables learners to proceed at their own pace, accommodating various learning styles and abilities. This personalized approach promotes engagement and minimizes frustration, ultimately leading to enhanced language skill acquisition.The incorporation of technology in PI further amplifies its impact on sustainable language development. Interactive multimedia elements, such as audio, video, and gamified exercises, enhance learner engagement and comprehension. Real-time feedback mechanisms allow learners to track their progress and address areas needing improvement, reinforcing their commitment to continuous learning. Additionally, PI's digital nature transcends geographical boundaries, making quality language education accessible to a diverse global audience, thereby contributing to equitable sustainable development. The sustainable impact of PI extends beyond individual learners. Its structured methodology empowers educators to monitor and adapt instructional content based on learners' performance data, optimizing the teaching process. Furthermore, the scalability of PI makes it a viable solution for resource-constrained environments, reducing the dependency on physical learning materials. In conclusion, Programmed Instruction emerges as a robust system for nurturing sustainable language skill development. By blending effective instructional design, technology integration, and personalized learning, PI provides learners with a comprehensive, adaptable, and accessible pathway to acquiring and enhancing language skills. As education plays a pivotal role in sustainable development, PI's potential to contribute to linguistic competence aligns with global goals for inclusive and equitable quality education.

Understanding needs and expectations to start effective communities of practice

BackgroundCommunities of practice (CoPs) are frequently used in health settings to enhance knowledge and support action around public health issues. Yet, most are ineffective and often at risk of not delivering on this promise. To prevent loss of time and resources by organisations, facilitators, and members, this paper argues for a reliable assessment of the needs of people who intend to join and to set realistic expectations to assure effective communities of practice. This research proposes a valid and reliable needs assessment and analysis tool for starting communities of practice, by presenting the results of using such a tool.MethodsInception needs assessments were developed, tested and administered to 246 respondents entering five communities of practice that focused on one of three public health issues: health literacy, mental health literacy and trauma-informed care. One community of practice had a global audience, four were based in Australia. Data from the needs assessments were analysed qualitatively and supplemented with descriptive statistics. Results were used to develop an analysis tool to support future communities of practice.ResultsThe short-term expectations of respondents included seeking to increase their knowledge and getting to know other members of the community of practice. Long-term expectations shifted towards undertaking action, collaborating and improving health outcomes. While respondents learning expectations included a wide range of topics, they articulated very specific knowledge they expected to share with others. There were high expectations of receiving practical support from the facilitator and a strong preference for meetings with synchronous interaction. Most respondents who planned to join focused initially on the direct and individual benefits and participation they expected from others, whereas they indicated limited intention to actively contribute to the learning needs of other community members. Respondents appeared to need to take time to build self-confidence and trust, and frequently applied a wait-and-see attitude.ConclusionsThe findings of this study suggest that an inception needs assessment allows members to express their needs and expectations, which directly informs the direction and structure of a community of practice, gives voice to members, and supports facilitators in managing expectations.

Pulque: The Drink of the Gods


 Pulque is an alcoholic beverage made from the fermented sap of the maguey plant. It is traditional to central Mexico, where it has been produced for millennia. I am interested in the revival of this drink and its relation to the community and social traditions as well as the visual symbols that are contained in contemporary and pre-Hispanic culture. The aim of the project is to show through the links between Pulquerias (where pulque is sold) and art. This project which compromises a series of prints and other objects worked from photographic and video sourced from the Internet of Pulquerías. The prints show in various ways the transitions, the collision, transformations of images of pulque. 
 
 
 This work was meant to be exhibited in June 2020 in a Pulquería in Mexico City. Due to the pandemic, I was left with all the body of work and with no possibilities of exhibiting or showcasing the work physically. New research methods for exhibition had to be found for it be shown. New questions to be answered as it was meant to be exhibited in Mexico where Pulque comes from and how presenting it to a global digital audience would the work have to be developed and new elements added for it to be accessible. 
 
 
 The work had to be now thought as means to produce something digital to go out to the public. I found a space to set the exhibition up and with professional support of a photographer and film artist the project was presented online. All these new elements within the way of presenting the work added new ideas to develop and to study. One of them is how online platforms develop new audiences nationally and internationally and how links can be created through it.