Paint is a common household hazardous waste in industrialized nations, but its associated management program is poorly documented and understood. This paper evaluates leftover paint collection trends in five Canadian provinces between 2012-2024 and ranks them using the TOPSIS approach. Three efficiency indicators (Reuse Efficiency, Recycling Efficiency, and Responsible Management Efficiency) were proposed to measure performance. Weights for these indicators were given following waste management hierarchy. Prince Edward Island possessed the highest collection rate (0.66 L per capita), while the other provinces ranged from 0.16 to 0.51 L per capita. Recycling is increasingly prioritized across provinces, but reuse and responsible management remain low, except in Saskatchewan, which achieved the highest reuse efficiency and responsible management efficiency, 19.01% and 29.36% respectively, suggesting sufficient facilities for exchanging leftover paint and available infrastructure for energy recovery. Saskatchewan had the highest overall ranking with a performance coefficient of 0.82 using the TOPSIS approach, with considerably better performance than other provinces in reuse, incineration, and energy recovery. More paint exchanging facilities are recommended. Unlike other studies aiming to quantify recycling, this study’s focus is on the development of reuse metrics and the analytical framework. The proposed leftover paint analytical framework utilizing the three dimensionless indicators can be applied in other jurisdictions to benchmark and compare the effectiveness of other household hazardous waste stewardship programs.

Major lower extremity amputations occurring secondary to vascular disease remain prevalent worldwide. Pain surrounding these procedures is complex, multifactorial and associated with poor functional and psychosocial outcomes. The evidence base informing pain management approaches in major lower extremity amputations remain largely heterogeneous and limited. This study aimed to establish procedure-specific, multispeciality consensus on the ideal principles and practices required to optimise pain management for vascular surgical patients undergoing major lower extremity amputations. A three-round online modified Delphi consensus process was undertaken, with consultant anaesthetists and consultant vascular surgeons across the UK forming the expert panel. Structured statements were assessed on a 5-point Likert scale against a strong consensus threshold of ≥ 75% ratings in agreement or disagreement, and a rating stability criterion of < 10% change between rounds. Free-text responses were thematically analysed at each round to iteratively modify or generate new statements. Seventy-two panellists participated in the study. Of the 44 consensus statements assessed, 32 reached strong consensus agreement. These included: shared cross-speciality responsibility for pain management; the mainstay role of locoregional analgesia; use of perineural catheters; opioid-sparing approaches; and protocolised decision aids with individualisation of analgesia. Barriers to practices identified included resource constraints and the paucity of direct evidence. There was non-consensus in 12 statements, notably on pre-amputation initiation of locoregional analgesia; ultrasound-guided nerve catheter placement; and surgeon-delivered regional analgesia. No statement reached strong consensus disagreement. This study provides the first procedure-specific consensus, delineating agreed principles and preferred pharmacological and locoregional analgesic approaches to peri-operative pain management in patients undergoing major lower extremity amputations. The areas of non-consensus expose key uncertainties that may inform future research, service organisation and guideline development agendas.

ABSTRACT In the face of increasing uncertainty and sustainability challenges, inventory management must develop to balance financial, environmental, and social objectives. This study presents a multi-objective sustainable inventory model that integrates machine learning for demand prediction, addressing uncertainty through robust programming. By using machine learning techniques, demand forecasting is made more accurate, even under uncertain conditions, improving decision-making in inventory control. Preservation and green technologies are employed to reduce product deterioration and decrease carbon emissions. Additionally, the model accounts for the influence of inflation on costs, ensuring financial sustainability over time. Weighted goal programming approach is adopted to address three key objectives: maximum profit, increasing labour payment and decreasing carbon emissions. This method allows for balancing the conflicting goals by optimizing inventory levels, ultimately promoting sustainability while ensuring labour payments and emissions. The results demonstrate that the proposed model can successfully achieve sustainable and social responsible inventory management, and the proposed model is the superior model of traditional model. Sensitivity analyses are conducted to assess the robustness of the proposed model under varying parameters, providing valuable insights for decision-makers. The study concludes with a discussion of the findings and suggestions for future research directions.

Abstract - Household Hazardous Waste (HHW) has emerged as a significant environmental and public health concern due to the widespread use of chemical-based products in daily household activities. Common items such as batteries, paints, pesticides, cleaning agents, fluorescent lamps, and expired medicines contain hazardous substances that can adversely affect human health and the environment when disposed of improperly. Despite constituting only a small fraction of municipal solid waste, HHW can lead to soil contamination, groundwater pollution, air quality degradation, and serious health hazards. This study aims to assess the level of public awareness regarding HHW, analyze existing disposal and segregation practices, and promote responsible waste management among households. A descriptive survey methodology was adopted, wherein structured questionnaires were administered to residents through direct household visits. Additional insights were obtained through interactions with waste management officials. The collected data were analyzed using percentage-based statistical methods and graphical representations. The survey findings revealed that only 36% of respondents were fully aware of HHW, while 24% were partially aware and 40% lacked awareness entirely. Furthermore, 60% of households disposed of hazardous waste along with regular garbage, and only 30% practiced waste segregation. These results indicate a substantial gap in public knowledge and proper disposal practices. However, the majority of respondents expressed a willingness to adopt safer waste management methods when provided with appropriate guidance. Based on these findings, an awareness campaign was conducted to educate residents about HHW identification, segregation, safe disposal methods, and environmental protection. The study highlights the critical need for continuous public education, community participation, and effective waste management policies to ensure sustainable environmental protection and improved public health. Key Words: Household Hazardous Waste (HHW), Waste Segregation, Environmental Awareness, Hazardous Waste Management, Public Health, Municipal Solid Waste, Awareness Campaign, Sustainable Waste Management, Environmental Protection, Community Participation.

Purpose This study aims to evaluate how Food Estate policies are implemented and monitored in Indonesia. It analyzes several issues that public administration faces in ensuring transparency, collaboration, and sustainable development within the overall food security framework. Design/methodology/approach This study employs a qualitative descriptive approach using a case study design focused on the implementation of the Food Estate policy in Papua, particularly in Merauke and Keerom Regencies. Data were collected through in-depth interviews, focus group discussions, and document analysis involving policymakers, program implementers, and local community representatives. By concentrating on Papua as the primary empirical setting, the study ensures consistency between the research design, data analysis, and reported findings. Findings The research shows that the Food Estate program aids the country’s food resilience objectives; however, its effectiveness is diminished by a lack of coordination among institutions, inadequate community involvement, and a deficiency in accountability. Conflicts between regulations at the national and local levels, competition among government bodies, and issues regarding project transparency have posed significant challenges. Additionally, without adequate oversight and the active participation of key stakeholders, the program has experienced increased vulnerabilities and instability. Originality/value The study contributes to the field of public policy and administration by highlighting the pressing deficiencies in the efficient and responsible management of large agricultural programs. It clarifies how organizations, governmental declarations, and political ambitions collaborate in the implementation of policies. These findings provide helpful direction for enhancing governance and promoting responsible, community-focused approaches to alleviating hunger in Indonesia and similar contexts.

Occupational health and safety (OHS) represents a cornerstone of responsible human resource management, particularly within manufacturing environments where workers are routinely exposed to physical, mechanical, and environmental hazards. This study investigates the OHS measures implemented at Myunghwa India Private Limited, an automobile component manufacturer located in Kanchipuram District, Tamil Nadu. Using a structured questionnaire administered via Google Forms, primary data were collected from 192 employees across various departments through convenience sampling. The research employs a descriptive design and applies non-parametric statistical tools — including the Kolmogorov-Smirnov normality test, Spearman's rank correlation, Chi-square test, Kruskal-Wallis H test, and one-way ANOVA — to examine relationships between safety practices, training effectiveness, health monitoring, and employee satisfaction. Key findings reveal that while safety awareness is relatively high (91%) and the majority of employees have undergone safety training (92%), a significant proportion (88%) reported experiencing workplace accidents. Furthermore, 29.1% of respondents strongly disagreed that occupational health policies are effectively implemented. The study concludes that targeted improvements in safety communication, training quality, and health monitoring frequency are essential to bridging the gap between policy intent and ground-level outcomes. Keywords: Occupational health and safety; manufacturing industry; safety training; health monitoring; automobile components; workplace accidents; employee well-being

This study explores the transformative role of prompt engineering in enhancing the effectiveness of artificial intelligence (AI) applications across diverse industries. As AI technologies, particularly large language models (LLMs), become increasingly integrated into organizational operations, the quality of the prompts used to guide these models has emerged as a critical factor in determining their usefulness. Prompt engineering refers to the strategic construction of input instructions that guide AI systems to generate accurate, relevant, and contextually appropriate outputs.By examining the design and structure of prompts, this article demonstrates how organizations can significantly improve decision-making processes, customer experiences, knowledge generation, and operational efficiency. Drawing on empirical evidence and cross-sector case studies from industries such as retail, healthcare, education, finance, and manufacturing, the research contrasts the impacts of well-formulated versus poorly constructed prompts. The findings reveal that effective prompts not only optimize the technical performance of AI models but also foster innovation, reduce resource waste, and support long-term competitiveness. Furthermore, the article offers practical recommendations for developing industry-specific prompt strategies and emphasizes the importance of training employees in prompt literacy. Ultimately, the study positions prompt engineering as a foundational skill in the evolving landscape of human-AI collaboration, essential for leveraging AI’s full potential in a responsible and strategic manner.

ABSTRACT This study in Padangsidimpuan, Indonesia, employs a qualitative case study using SWOT analysis to explore sustainable development, defined as integrating responsible natural resource management with enhanced community well-being. Padangsidimpuan’s strengths lie in community engagement, natural resources, government support, and cultural heritage. Weaknesses include limited funding, infrastructure challenges, lack of awareness, and poverty. Opportunities arise from NGO partnerships, technological advancements, government programs, and local economic development. Threats encompass environmental issues, climate change, economic instability, and socio-political instability. Existing sustainable development programs positively impact welfare (education, health, economy, and culture) but face hurdles like funding, infrastructure, awareness, poverty, and environmental threats. Opportunities to boost welfare include cultural tourism, sustainable agriculture, NGO collaborations, technology, and government support. Integrated strategies prioritizing infrastructure, community involvement, and environmental protection are crucial for inclusive sustainable development.

A strategic European partnership for safe radioactive waste management Louise Théodon from ANDRA explores a strategic European Partnership for safe radioactive waste management. In line with the Radioactive Waste Directive 2011/70/Euratom, which establishes a community framework for the responsible and safe management of spent fuel and radioactive waste, EURAD-2 (European Partnership on Radioactive Waste Management) aims to support, over the next decade and across Europe, the safe start of operations of the first geological disposal facilities.

This study offers one of the first cross-national qualitative analyses of unowned cat population and welfare management, grounded in the frontline experiences of 44 practitioners working across Cyprus, Greece, and Portugal. Existing research often focuses on discrete interventions or public attitudes, overlooking the systemic, institutional, and cultural factors that shape daily practice. Drawing on Bronfenbrenner’s Ecological Systems Theory and a relational lens, we conducted thematic and comparative analyses of semi-structured interviews to examine how practitioners navigate distinct sociopolitical and legal contexts. Findings reveal both shared challenges and country-specific variation. Across contexts, practitioners described persistent overpopulation and cumulative welfare harms—including untreated disease, injury, and chronic stress—exacerbated by unreliable funding, fragmented institutional support, data gaps, limited veterinary access, and weak or inconsistently enforced legal frameworks. In Cyprus, responsibility for population management was described as informally devolved to volunteers and non-governmental organizations (NGOs). In Greece, practitioners characterized ambitious national legislation as producing “ghost” systems that existed on paper but lacked implementation capacity. In Portugal, emerging coordination was described as tempered by uneven municipal capacity. Management efforts were further shaped by cultural norms, socioeconomic disparities, and widespread semi-ownership practices. Although collaboration among NGOs, veterinarians, municipalities, and caregivers was widely viewed as essential, practitioners emphasized that success depended on trust, clearly defined roles, and sustained institutional backing—conditions that were often unstable. At the operational level, practitioners consistently highlighted that humane population control requires high-intensity, geographically coordinated neutering combined with sustained monitoring and community engagement. Overall, the findings suggest that durable progress requires moving beyond reactive, volunteer-dependent interventions toward integrated governance frameworks that align legal authority with implementation capacity and public support, translating policy intent into consistent, humane, and sustainable outcomes.

Mediterranean cork oak forests provide essential ecosystem services but face increasing threats from climate change, ecosystem simplification, and oak decline. Ensuring their long-term sustainability requires governance approaches that integrate regional planning frameworks with international certification standards. This study presents a pioneering case of public cork oak forest management in Alà dei Sardi, Sardinia (Italy), where municipal forest planning was aligned with national and regional regulations and further enhanced through Forest Stewardship Council® (FSC®) certification. The FSC system offers internationally recognized standards and the Ecosystem Services Procedure (FSC-PRO-30-006 v2-1) to verify responsible forest management and quantify key ecosystem benefits. The Alà dei Sardi forest is the first publicly owned municipal cork oak forest to achieve FSC Forest Management certification, with demonstrated positive impacts of its management activities on biodiversity conservation, carbon sequestration and storage, water protection, soil conservation, and recreational services. The certification process integrated management planning, stakeholder engagement, monitoring, and adaptive interventions, showing that public institutions can combine legal frameworks with voluntary standards to enhance ecological performance, accountability, and socio-economic value. This case illustrates a potentially scalable and replicable model for sustainable forest governance, linking territorial planning with market-based mechanisms, and provides a practical example of governance for resilient and multifunctional forest systems.

Abstract Background People with dementia (PwD) are often prescribed complex medication regimens, which can be difficult to manage and may place a significant burden on both patients and their carers.[1] Whilst studies have explored these issues globally, little is known about experiences in Saudi Arabia.[2] Aim To explore the experiences and perspectives of community-dwelling PwD and their family carers in Saudi Arabia regarding medication use and management and identify key barriers and facilitators. Methods Participants were purposively sampled and recruited from geriatric clinics in two hospitals in Riyadh. PwD were eligible if they had a documented dementia diagnosis (any type), prescribed ≥5 medications, and could participate in an interview. Carers had to have contact with the PwD ≥3 times/week and provide help with medication. PwD-carer dyads were invited, but individual PwD or carers were included if only one consented. Semi-structured interviews were conducted in person, via Zoom, or by telephone; the topic guide was informed by published literature, refined through research team discussions, and piloted for clarity and relevance. All interviews were conducted in Arabic, audio-recorded, transcribed verbatim, and translated into English. Transcripts were independently coded by two researchers using inductive thematic analysis. Results Forty interviews, lasting 20 minutes on average, were conducted between June 2023 and January 2025 (n = 16 PwD, n = 24 carers). Many PwD expressed uncertainty about their medicines, often relying on carers for support: ‘I don’t really know; they [carers] give it to me, and I take it’ [PwD_7]. Carers assumed greater responsibility for medication management as dementia progressed, often after PwD made errors. Participants reported that strategies such as maintaining routines, using compliance aids, and relying on family support facilitated medication management. While PwD generally viewed medicines positively, carers expressed concern about medication refusal, difficulty with swallowing large tablets and the burden of polypharmacy: ‘What upsets me is that the number of medications is too much… he [PwD] keeps saying, “I’m fed up…”’ [Carer_19]. Other obstacles included fragmented care due to multiple prescribers, follow-up in different hospitals, and limited counselling/education provided by healthcare professionals. Carers expressed interest in PwD receiving structured medication reviews and highlighted the potential for pharmacists to play a more proactive role in medication education, organisation, ongoing monitoring and review, especially in the context of complex regimens: ‘We’ve wanted a [medication review] service like this for a long time … it would’ve been a huge help to have someone review and organise her medications for us’ [Carer_11]. Conclusion This study highlights the central role of family carers in assisting PwD in using and managing their medicines and the potential for pharmacists to contribute more actively through education, communication, and structured medication review. These findings echo international studies reporting similar challenges with polypharmacy and medicines administration and align with global calls for enhanced pharmacist involvement in dementia care. A key strength is the inclusion of both PwD and carers, offering complementary perspectives; however, findings are limited to two hospitals in Riyadh and may not be generalisable to other regions or healthcare systems.

This study explores how residents of Vrnjačka Banja (Serbia) perceive the impacts of tourism and how these attitudes influence their support for future tourism development. Specifically, it examines positive and negative economic, socio-cultural, and environmental impacts, as well as the types of tourism residents favor. Data were collected from 420 local residents using a structured survey, and the reliability of the scales was confirmed using Cronbach’s alpha. Descriptive statistics provided an overview of participant characteristics, while MANOVA and follow-up ANOVA tests were used to examine differences in perceived tourism impacts across tourism types. Multiple linear regression was used to assess how attitudes toward positive and negative impacts predict residents’ support for future tourism development. The results indicate that attitudes toward positive impacts are relatively consistent across residents, whereas negative socio-cultural and environmental impacts differ depending on the type of tourism they support. Regression analysis shows that positive socio-cultural and environmental impacts are the strongest drivers of residents’ support, while negative socio-cultural and economic impacts reduce support. These findings highlight the importance of social and environmental considerations in shaping community attitudes and suggest that sustainable tourism planning should prioritize local well-being and responsible environmental management alongside economic objectives. This study contributes to the literature by addressing the heterogeneity in residents’ attitudes through tourism type preferences, while also highlighting the limited research on this topic in spa destinations. It further provides practical guidance for destination managers and policymakers in developing more targeted and sustainable tourism strategies.

Integrating sustainability into higher education is a strategic priority of the 2030 Agenda, although its effective implementation remains uneven and understudied from internal institution comparative perspectives. This study analyzes the perceptions of faculty and students regarding the integration of sustainability at a higher education institution in Ecuador, using a convergent–complementary mixed-methods design that triangulates descriptive quantitative analysis and qualitative thematic content analysis. The quantitative component included 597 students and 88 faculty members, who responded to structured questionnaires of 15 items organized into five dimensions: curriculum and teaching, participation and engagement, resources and institutional support, impact and expectations, and vision for the future. The qualitative component was based on semi-structured interviews analyzed using thematic coding. The results show a generally favorable perception in both groups (Student Perception Index = 2.35; Faculty Perception Index = 2.23), with greater consensus in the impact and expectations dimension and significant gaps in resources and institutional support. Qualitative analysis revealed distinct relational models: faculty members articulate sustainability through professional responsibility and curriculum management, while students construct it from fragmented experiences and extra-university references. Triangulation of both components reveals a duality between solid normative legitimation and incipient structural institutionalization. These findings contribute to the debate on sustainable transition processes in Latin American universities and provide comparative empirical evidence for the design of institutional policies in emerging contexts.

The fast-moving introduction of Artificial Intelligence to Human Resource Management has both provided revolutionary opportunities in HR analytics, talent management, and intelligent decision-making, as well as posed major ethical, governance, and transparency issues that need to be evaluated systematically. Although the use of AI-powered HR solutions becomes more widespread, the literature on AI-based system remains scattered in different areas, including predictive workforce analytics, algorithmic recruiting, employee experience analytics, and responsible AI models, and it is hard to see the impact of Artificial Intelligence on HRM on organizational performance and responsible management in general. To fill this gap, this paper provides a literature review with the PRISMA framework to extract the recent research on the topics of HR analytics, talent analytics, Ethical AI, and data-driven HRM. The review is conducted on the topic of AI-driven recruitment, predictive HR analytics, workforce analytics, intelligent talent systems, and AI governance in HR. The focus is laid on the following emerging themes explainable AI, algorithmic bias, responsible AI, human-AI collaboration, and sustainable HRM as the most recent trends in digital HRM and people analytics. The results suggest that AI-powered HR analytics can greatly improve talent recruitment, performance analysis, human resources planning, and employee experience using machine learning, automation, and intelligent decision support, and simultaneously raise concerns about fairness, accountability, privacy, and transparency. Ethical AI, trusted AI, and governance principles are found to be key facilitators of the sustainability of smart HR systems adoption.

Aim: This study aims to evaluate potential environmental impacts associated with the construction of the Hoya Pioneer Airport in Central Papua, Indonesia, with particular emphasis on climatological characteristics and their implications for sustainable infrastructure development and surrounding residential environments. Methodology and results: The study employs climatological analysis focusing on rainfall patterns at the project site. Rainfall classification was conducted using the Schmidt and Ferguson method, which categorizes climatic conditions based on the average number of wet, humid, and dry months. Wet months are defined by rainfall exceeding 100 mm, dry months by rainfall below 60 mm, and humid months by rainfall ranging between 60-100 mm. The analysis indicates that the study area is characterized by high rainfall intensity, which may influence land stability, erosion potential, drainage system requirements, and construction feasibility. These findings highlight the necessity of integrating climatological considerations into environmental management planning for airport infrastructure development. Conclusion, Significance, and Impact: The development of the Hoya Pioneer Airport is expected to enhance regional connectivity, accessibility, and socio-economic growth, particularly in previously isolated areas. Nevertheless, construction activities may pose environmental risks, including land degradation, habitat disturbance, and increased carbon emissions. Therefore, the implementation of sustainable construction practices, environmentally responsible management strategies, and climate-adaptive infrastructure planning is essential to minimize environmental impacts while maximizing socio-economic benefits for local communities and regional development.

Subject of study. The subject of research is the processes, mechanisms and tools for studying the current state and problems of implementing socially responsible personnel management in communities of Sumy region, as well as their impact on the formation and development of social capital.. The aim of the study. The purpose of the study is a comprehensive study of theoretical and practical tasks regarding the current state and problems of implementing socially responsible personnel management in communities of Sumy region, as well as substantiation of the role of socially responsible personnel management in community development. Research methods. The methodological basis of the study is a set of methods of scientific knowledge, namely logical, system-structural and others. Results of work. The article examines the current state and main problems of implementing socially responsible personnel management (SRHP) in communities of Sumy region. Given the importance of human capital for the sustainable development of territorial communities, the author analyzes the personnel, the practice of policy motivation, working conditions and measures of social support for employees in local authorities and municipal institutions. Special attention is paid to the specifics of the region, exclusively with economic challenges, demographic trends and the level of resource provision of the community. It was found that the low level of remuneration in many communities of Sumy region, as well as the insufficient level of development of personnel strategies contribute to the problems of staff retention and motivation. The presence of basic social guarantees, the absence of a systematic approach to professional development and support for employees ensures the effectiveness of SRHP. In addition, an analysis of the community's budgetary capabilities shows the potential for increasing investments in human capital development, but in practice this potential is not fully used. The authors emphasize the need to implement comprehensive strategies for socially responsible management, which include not only material incentives, but also the development of corporate culture, support for psychological health, opportunities for learning and growth. The results of the study may be useful for policymakers in the field of local government, community leaders, and scholars involved in issues of social development of regions.

Oral systemic anti-cancer therapies improve convenience, but also shift responsibility for treatment management to the patient. Education, communication, and models of care must adapt to support safe, equitable, and sustainable oral anti-cancer treatment.

Epilepsy is a chronic neurological disorder that affects daily functioning beyond seizure control. Adopting health-promoting lifestyle behaviors is essential for effective self-management; however, evidence on the key modifiable factors influencing these behaviors in adults with epilepsy remains limited. This study aimed to identify determinants of health-promoting lifestyle behaviors and inform nurse-led lifestyle interventions. This cross-sectional descriptive study included 160 adults with epilepsy attending a university hospital in eastern Turkey (November 2023-May 2024). Data were collected using a sociodemographic/clinical questionnaire and the health-promoting lifestyle profile II (HPLP-II), which assesses health responsibility, physical activity, nutrition, spiritual growth, interpersonal relations, and stress management. Group comparisons were performed using t-tests and one-way ANOVA, and independent predictors of HPLP-II total score were examined using multiple linear regression. The mean HPLP-II total score was 124.07±25.49, indicating an overall moderate level of health-promoting lifestyle behaviors. Subscale scores were highest for interpersonal relations (25.04±5.59) and spiritual growth (24.72±5.98), whereas physical activity was the lowest domain (13.74±4.99). Nutrition scores (19.99±4.97) were also lower than those for interpersonal relations and spiritual growth. Higher total scores were observed among women, married participants, those with higher education, and those with better perceived health status and diet adherence (p<0.05). In the regression model, gender, self-rated health status, diet adherence, and perceived diet status significantly predicted HPLP-II total score (R2 = 0.360; F = 3.501, p = 0.001). Adults with epilepsy demonstrated only moderate engagement in health-promoting behaviors, with physical activity emerging as the most vulnerable domain. Targeted, nurse-led interventions that include structured lifestyle education, individualized physical activity planning, diet adherence monitoring, and medication adherence counseling may help overcome condition-specific barriers and improve long-term self-management.

Efficient, low-cost approaches for disseminating evidence-based training on behavior-analytic interventions to professionals outside of North America are needed to address the scarcity of available services. This study evaluated the effectiveness and acceptability of computer-based instruction for training professionals in Nigeria to conduct pairwise functional analyses of challenging behavior. Six professionals demonstrated high levels of procedural fidelity during role-play and in situ sessions with children after completing a self-paced computer-based instruction program that provided multiple opportunities for active responding and included culturally relevant content. Results extend prior research on virtual training of functional analysis implementation by incorporating a broader range of dependent variables (e.g., graphing, data interpretation) and delivering a fully asynchronous program. Results have implications for the further development of technologies to scale up the reach of behavior analysis services. Issues related to ensuring that asynchronous programs are delivered in an ethically responsible manner are discussed.