List Of Tasks Research Articles

Project of the information system of sales on the charity auction platform

This paper describes the requirements for the project of an information sales system on the platform of charitable online auctions, which offers a fundamentally new way to sell valuable property, such as real estate or transport. The designed information system is a non-standard solution for the implementation of auction sales, since in economically unstable times it is intended to become an alternative way for sellers to expose their property as a lot; to play a lot between the participants of the auction and give a chance to low-income segments of the population to become owners of valuable property for a relatively small amount of the bid in the auction; pay part of the collected amount in favor of charitable foundations for which users will vote when participating in the auction; enrich the state budget by paying taxes on the purchase and sale procedure. The expediency of creating such an information system was assessed on the basis of comparing it with the existing prototypes. To substantiate the relevance of the project, a system of experimental evaluation of the characteristics of the designed system and its analogues has been developed according to a number of criteria. A number of advantages and critical differences of the system project have been identified. On the basis of the project management method S.M.A.R.T. the goals of creating an information system are formulated and a list of tasks to achieve them is determined. Structural, functional, informational, business and client requirements for the project are outlined. The main means of developing an IT project in TypeScript on the Node.js and Angular platforms are indicated. Integration of the information system with the Fondy payment system to save proceeds from the auction is proposed. The risks of project implementation are identified and ways to minimize their impact are outlined.

Vision-related tasks in children with visual impairment: a multi-method study.

Functional Vision (FV) is vital for the successful growth of children with visual impairment. However, tasks related to measuring FV have not been thoroughly studied for this population. To address this gap, this study seeks to establish a comprehensive set of vision-related tasks that consider both the difficulty levels of activities and the ages of children with visual impairment. This study utilized a sequential multi-method design, including a scoping review, a qualitative content analysis, and a focus group. Firstly, a scoping review was conducted to identify vision-related tasks based on the literature. Then, to contextualize the vision-related tasks, a qualitative content analysis was carried out. Subsequently, a focus group was conducted to categorize the identified tasks based on their difficulty levels and the children's level of dependency. We utilized the directed content analysis method to analyze the data, using the occupational domain of the Occupational Therapy Practice Framework 4th edition (OTPF-4) as the primary framework. During the review phase, which included 22 studies, and the interview phase, which involved 16 participants, a total of 95 and 85 vision-related tasks were identified, respectively. These tasks were then categorized into 17 activities and five occupations, which included activities of daily living (ADL), instrumental activities of daily living (IADL), education, play, and participation in social activities. Among these occupations, ADL was the easiest, while participation in social activities was the most challenging. Finally, the tasks were arranged based on their difficulty level for children with visual impairment. A comprehensive list of vision-related tasks has been developed based on the difficulty level of the tasks and the degree of dependency of children with visual impairment. This list can be used to develop standardized instruments for assessing FV in children with visual impairment.

Monitoring of power electrical networks using unmanned aerial vehicles

In this paper, the main existing problems of monitoring power system objects are outlined, because the regular inspection of electrical power system devices and apparatus allows to evaluate a technical condition, to detect presence of defects and to prevent emergency situations. The paper carries out an analysis of promising solutions in the process of inspecting the technical condition of objects or emergency sections of power grids using drones. The article considers the definition, advantages, and disadvantages of unmanned aerial vehicles, provides a list of tasks that they can perform, considering their own design and technical parameters. The main components of the structural control scheme of an unmanned aerial vehicle and the possibilities of expanding, improving, and eliminating existing shortcomings are described. Existing technologies for automatic control, detection and tracking of electric overhead lines and devices by an unmanned aerial vehicle are described. The basic principle of operation of thermal field and electromagnetic field sensors is analyzed as the most promising to date in determining the malfunction of devices. Firstly, in the case of a fault, objects can produce thermal energy and partial discharges, which the sensor is able to measure at a distance and convert into temperature. Secondly, the electromagnetic field around the objects changes in the event of the same damage, and measuring the value of this parameter with a special sensor allows to detect damage. The issues of ensuring the protection of the communication channel between the ground unit and the drone from intruders and information security of data exchange are also considered. The possibilities of developing existing technologies to improve the process of monitoring the general technical condition of the electrical network, searching for damaged electrical sections and devices, automating the control process, and reducing the cost of the device are analyzed.

STANDARDI ZANIMANJA I KVALIFIKACIJA – OSNOVA ZA KVALITETAN STUDIJSKI PROGRAM – PRIMJER NASTAVNIČKIH STUDIJSKIH PROGRAMA / OCCUPATIONAL STANDARDS AND QUALIFICATIONS - BASIS FOR A QUALITY STUDY PROGRAM - AN EXAMPLE OF TEACHER STUDY PROGRAMS

The development of the teaching profession is considered a key prerequisite and the most important link in the process of improving and raising the quality of the educational system in BiH. The reform of education through various phases has lasted for almost two decades, it has set a number of challenges and expectations for teachers, who bear the greatest burden in the implementation of reform processes. Only quality teachers can educate holistically oriented students willing to live and nurture values, possess 21st century skills and be able to bring about change that will be geared towards development and progress. Occupational standards represent a harmonized minimum of best practice in accordance with needs occupations within the defined legal framework. Accordingly, the Occupational Standard for Teachers is a list of key tasks that teachers perform within their profession, and the competencies needed to perform them effectively. The Occupational standard represents the link between initial teacher education and the labor market, offering a clear framework for the organization and development of the teaching profession. The aim of the paper is to present the concept and methodology of developing the Teacher Occupation Standards and Teacher Qualification Standards, created in the TABLA project, to explain the role and function of occupational / qualification standards that define teacher work through prominent elements of high quality and efficient teaching in the 21st century. students at teacher training colleges. In addition to the above, the paper will explain the relationship between the Occupational / Qualification Standards and the continuum of competencies on the example of the Teacher Module - Common Core Curriculum (CPL) based on learning outcomes, which as such should be implemented in all teacher education programs. The conclusion of the paper indicates the contribution of the Teacher Occupation Standard and the Qualification Standard teachers, created in the TABLA project, in defining a clear and uniform training of teachers during initial education, and establishing a transparent and objective system for monitoring, self-assessment, teacher evaluation and their advancement in the profession.

Spontaneous memory strategies in a videogame simulating everyday memory tasks.

People can use different internal strategies to manage their daily tasks, but systematic research on these strategies and their significance for actual performance is still quite sparse. Here we examined self-reported internal strategy use with a 10-block version of the videogame EPELI (Executive Performance in Everyday LIving) in a group of 202 neurotypical adults of 18-50 years of age. In the game, participants perform lists of everyday tasks from memory while navigating in a virtual apartment. Open-ended strategy reports were collected after each EPELI task block, and for comparison also after an EPELI Instruction Recall task and a Word List Learning task assessing episodic memory. On average, 45% of the participants reported using some strategy in EPELI, the most common types being grouping (e.g., performing the tasks room by room), utilising a familiar action schema, and condensing information (e.g., memorising only keywords). Our pre-registered hypothesis on the beneficial effect of self-initiated strategy use gained support, as strategy users showed better performance on EPELI as compared with no strategy users. One of the strategies, grouping, was identified as a clearly effective strategy type. Block-by-block transitions suggested gradual stabilisation of strategy use over the 10 EPELI blocks. The proneness to use strategies showed a weak but reliable association between EPELI and Word List Learning. Overall, the present results highlight the importance of internal strategy use for understanding individual differences in memory performance, as well as the potential benefit for internal strategy employment when faced with everyday memory tasks.

КРИМИНОЛОГИЧЕСКИЙ АНАЛИЗ ЛИЧНОСТИ ПРЕСТУПНИКА, СОВЕРШАЮЩЕГО МОШЕННИЧЕСТВО ПРИ ПОЛУЧЕНИИ ВЫПЛАТ

Introduction. The article aims to characterize the identity of a fraudster with payments. To achieve this goal, a list of tasks has been formulated, for the solution of which the identity of a fraudster with payments has been studied by statistical and logical analysis of information grouped by demograph-ic, socio-economic and moral-behavioral criteria. Based on the results obtained and taking into ac-count the studies previously conducted by the author, conclusions and suggestions on the use of the identity characteristics of a fraudster with payments for law enforcement purposes are formulated.
 Methods. Methods of systematization and analysis, statistical research, content analysis of publi-cations on similar topics were used. The logical method is applied in order to formulate conclusions.
 Results. Demographic, socio-economic, moral and behavioral criteria of the identity of a fraudster with payments are investigated. The features, differences from the identity of financial fraudsters are highlighted.
 Discussion and conclusion. It is concluded that it is advisable to use the characteristics of the identity of a fraudster with payments to develop preventive measures. The directions of using the characteristics of the identity of a fraudster with payments in law enforcement are proposed.

МETHODOLOGICAL BASIS TO DEVELOP THE DIGITAL INTEGRATED MODELS OF THE DEVELOPMENT OF THE RURAL LABOR MARKET

The article proposes methodological foundations for the development of digital integrated models for the development of the rural labor market in labour-surplus regions in the conditions of the functioning of a socially oriented market economy. It includes the proven milestones for the development of digital integrated models (DIMs) for the development of the rural labor market in labor-abundant regions: definition of the goal and the list of problem-optimization tasks to be solved; implementation of the choice of the type of digital economic and mathematical models; development of target integrated models and verification of their consistency; collection, analysis and assessment of the reliability of the necessary information; computer approbation of the proposed DIM, a comprehensive analysis of the obtained computer results. At the same time, on the basis of the developed DIM, forecast indicators for reducing the informal employment of the rural able-bodied population of the Republic of Uzbekistan until 2025 were determined.

DETERMINATION AND COMPARISON METHODS OF BODY POSITIONS ON STREAM VIDEO

Context. One of the tasks of computer vision is the task of determining the human body in the image. There are many methods to solve this problem, some are based on specific equipment (motion capture, kinect) and provide the highest accuracy, some give less accuracy but do not require additional equipment and use less computing power. But usually, such equipment has a high cost, so to ensure the low cost of developments designed to determine the body in the image, you should develop algorithms based on computer vision technology. These algorithms can then be applied to various fields to analyze and compare body positions for a variety of purposes.
 Objective. The aim of the work is to study the effectiveness of existing libraries to determine the human body position in the image, as well as methods for comparing the obtained poses in terms of speed and accuracy of determination.
 Methods. A set of libraries and pose comparison algorithms were analyzed for the purpose of developing a system for determining the correctness of exercise by the user in real time. OpenPose, PoseNet and BlazePose libraries were analyzed for their suitability in recognizing and tracking body parts and movements in real-time video streams. The advantages and disadvantages of each library were evaluated based on their performance, accuracy, and computational efficiency. Additionally, different pose comparison algorithms were analyzed. The effectiveness of each algorithm was evaluated based on their ability to accurately determine and compare body positions.
 As a result, the combination of BlazePose and weighted distance method can achieve the best performance in pose recognition, with high accuracy and robustness across a range of challenging scenarios. The weighted distance method can be further enhanced with techniques such as L2 normalization and pose alignment to improve its accuracy and generalization. Overall, the combination of the BlazePose library and weighted distance methods offers a powerful and effective solution for pose recognition, with high F1 index.
 Results. Existing models for determining poses have shown similar results in the quality of determination with a run-up of about 2%. When developing a cross-platform software product, the BlazePose library, which has an API for working directly in the browser and on mobile platforms, has a significant advantage in speed and accuracy. Also, as the library uses extended 33 keypoint topology it becomes applicable to a wider list of tasks. In the study of comparison methods, the greatest influence on the results was exerted by the quality of pose determination.
 Conclusions. Among the methods of comparison, the method of weighted distances showed the best results. The speed of position determination is inversely proportional to the quality of determination and significantly exceeds the recommended value – 40ms.

Adjustment of basement rooms of buildings for shelter for the civilian population

A feature of the russia's war against Ukraine is the huge number of casualties among the civilian population in the first months of the war.
 The insufficient number of protective structures (storages, anti-radiation shelters, dual-purpose structures), their technical condition and availability, as well as recommendations for sheltering the population in the simplest shelters – basements of residential buildings – lead to mass casualties among the civilian population.
 The definition of the term "simplest shelter" does not provide for the protection of the population from the effects of the means of destruction, but only the reduction of their effects. According to the definition of regulatory documents, only a part (more or less than half of its height) of basement and basement premises is located below the surface of the ground and, accordingly, these premises are as vulnerable as the above-ground floors.
 Normative documents on the protection of the civilian population, which became the basis of the state building regulations of Ukraine in 1997, were developed in the middle of the 20th century, and the changes that were made in 25 years did not change the parameters and equipment of protective structures.
 The main goal of the study is to development of measures that provide an opportunity to ensure full protection of the civilian population not involved in the work of critical infrastructure.
 The set goal outlined a list of research tasks, namely, reducing the number of victims among the civilian population by adapting the existing basements of multi-story buildings for shelter to protect the population from the effects of conventional means of destruction and the side effects of modern weapons of mass destruction (chemical); fragments of destroyed building structures; of an air shock wave with an estimated excess pressure of not less than ∆Pф =20 kPa (0.2 kg/cm²)
 Specialists of the "Renaissance" NGO proposed project solutions for creating shelters in the basements of existing residential buildings by strengthening the structures enclosing the basements.
 The listed measures enable the residents of houses living in cities on the territory controlled by Ukraine, but under constant rocket fire, to stay in their houses and rest at night in a protected space.

Improving Crew Overboard Recovery for Commercial Fishing in the Gulf of Mexico

ABSTRACT Occupational fatality rates in the commercial fishing industry in the United States remain more than 20 times higher than the national average. The burden of commercial fishing fatalities due to unintentional falls overboard is highest in the Gulf of Mexico (GOM) shrimp fishery. The objective of this quasi-experimental, pre-/post-test project design was disseminating recovery slings to GOM captains/deckhands, training in their use, and assessing the attitudes, beliefs, and intentions of fishermen in their adoption. Due to the COVID−19 pandemic, a land-based simulation was used to train commercial fishermen at three port locations in use of crew overboard (COB) recovery slings. A survey was developed to assess the attitudes, beliefs, and intentions of commercial fishermen in COB recovery. Purposive sampling was employed to recruit 30–50 fishermen at each location. Following pre-/post-training surveys, fishermen received one recovery sling per vessel along with a task list of instructions for use of the sling. A third survey and task list questions were performed at 12–18 months. There were 119 recovery slings and training in their use provided to 123 commercial shrimp fishing vessel owners/captains and deckhands along the Texas and Louisiana Gulf Coast. Repeated measures analysis of variance of the three surveys showed that positive change in normative beliefs was significant for the importance of quickly and safely maneuvering the vessel to the crew member. This change was most significant over the period from the initial training and receipt of the recovery sling by the vessel captain/deckhand, to the time of follow-up 12–18 months later (p = .03). Regarding control beliefs, training was associated with immediate statistically significant improved confidence that, with assistance, the fisherman would be able to use the sling and other equipment to hoist the COB (p = .02). However, this confidence waned significantly over time (p = .03). Attitudes and beliefs of commercial fishermen in the GOM can be favorably influenced toward a COB recovery device, as well as their confidence, and intention to use such devices. However, results show that attitudes and beliefs may wane over time, emphasizing the importance of repeated training and survival drills in this industry.

Ontological integration of digital sub-platforms of plant and animal husbandry

The purpose of the work is to develop digital mechanisms for the integration of information systems of plant and animal husbandry with the analysis of their implementation conditions. The relevance of research is determined by the need for such a procedure due to a significantly increased list of tasks to be solved and data volumes due to the improvement of information and communication technologies, which led to the emergence of technologies for precision animal husbandry and agriculture, Earth’s remote sensing, requiring a combination of a large number of overlapping structured data and technologies for their processing, as well as solving problems of intersectoral relationships reflecting their interaction through the feed base, raw materials for processing, as well as the demands of the population and state bodies that are gaining momentum about the possibility of checking information on the legality, quality, and safety of products online. Digital standards obtained by mathematical modeling of them are proposed as the main research method. As a result of the research, digital mechanisms were obtained for solving integration problems not only of crop and livestock information systems, but also their integration with digital logistics and processing platforms. Conclusions: the obtained digital mechanisms provide fundamentally new opportunities for the digital transformation of industries with a multiple reduction in its cost.

Peran Aplikasi Notion dalam Perkuliahan untuk Mewujudkan Produktivitas Mahasiswa

This study aims to explore the role of the Notion application in increasing student productivity in lectures. The quantitative method was used by sending online questionnaires to 67 students from various institutions in Indonesia, including users and non-users of Notion. The data obtained were analyzed using descriptive statistical techniques to assess the significant impact of the Notion application on student productivity. The research results show that Notion helps students manage schedules, create task lists, and organize lecture notes more efficiently and effectively. This application also makes it easy to manage complex tasks. Notion's strength lies in its accessibility, which allows students to access information and documents from their mobile or desktop devices anytime and anywhere. Notion has become a popular choice for college students to increase their day-to-day productivity. With Notion, students can tackle various tasks such as writing notes and setting reminders without the need to use paper, but via a smartphone or laptop device.

Intelligent Task Planning System Based on Methods of Fuzzy Natural Logic

In this paper, we present a novel approach to task planning based on an intelligent expert system that makes it possible to obtain a conclusion based on linguistically characterized knowledge. The main goal of the proposed task planning system is to arrange and display tasks for the solver in an effective way. Therefore, the system shows the most important tasks first and then the less important ones (in a determined ordering). The solver has a list of tasks arranged according to their importance at each time the task list is displayed. Another goal of the system is to show the effectiveness of all subordinate workers (solvers) for the manager. The expert knowledge contained in the system is characterized by three linguistic descriptions: determination of the task importance, determination of the final task importance, and determination of the efficiency of the task solvers. The system shows the ordered task list in real time. Evaluation of the relative and final importance of the tasks is performed periodically. The system has been implemented as a WEB application and verified on real data set. We also present experimental results of our system.

FEATURES OF CREATING MANAGEMENT ACCOUNTING OF THE ENTERPRISE BASED ON CLOUD TECHNOLOGIES

This article is devoted to the application of cloud technologies in the management accounting automation system at enterprises. The author considered the terminology of "cloud" and "cloud technologies" and adapted the definition of "cloud management accounting technology" as a technology that allows remote processing and storage of data for thepurpose of making management decisions and managing an economic object. The main advantages of using cloud technologies in management accounting were systematize. The advantages such as a business scaling and its information security, communication speed and data access, backup, update and administration of cloud technologies and databases. In this article, the author singles out specific tasks of management accounting that affect the development and use of information technologies in its automation. The tasks such as: timely provision of information to officials in order to make management decisions for each group of information users; provision of real, timely and comprehensive information about the object of management; provision of a wide range of modern tools for analysis and management decision-making. The issue of processing accounting information in the clouds and setting up communication between the internal and external environment is covered. The author also defined the procedure for processing accounting information based on cloud technologies, which consists of four gradual stages.The author has defined the features of building management accounting of the enterprise based on cloud technologies. The features among which are: taking into account the range of users for whom the management cloud of the enterprise will be available; determination of a specific list of management tasks that can be automated on the basis of cloud technologies; selection, in accordance with the first two features, of a specific list of cloud tools

A Two-Stage Anomaly Detection Method Based on User Preference Features and the Deep Fusion Model

Rapid and accurate anomaly traffic detection is one of the most important research problems in cyberspace situational awareness. In order to improve the accuracy and efficiency of the detection, a two-stage anomaly detection method based on user preference features and a deep fusion model is proposed. First, a user-preference list of attack detection tasks is constructed based on the resilient distributed dataset. Following that, the detection tasks are divided into multiple stages according to the detection framework, which allows multiple worker hosts to work in parallel. Finally, a deep fusion classifier is trained using the features extracted from the input traffic data. Experimental results indicate that the proposed method achieves better detection accuracy compared to the existing typical methods. Furthermore, compared with stand-alone detection, the proposed method can effectively improve the time efficiencies of the model’s training and testing to a large extent. The ablation experiment justifies the use of the machine learning method.

Beyond the Task List: A Proposed Integration of Naturalistic Developmental Behavioral Interventions to BCBA Training.

Naturalistic developmental behavioral intervention (NDBI) is firmly rooted in both the science of ABA as well as developmental science. Research indicates that many practicing board certified behavior analysts (BCBAs) are unfamiliar with NDBI models and do not implement these approaches when working with young autistic children (Hampton and SandbankAutism, 26(4), 875-888,2022). In this article we align NDBI to the seven dimensions of ABA, describe their compatibility with the ABA service system, and urge community agencies andinsurance funders to support NDBI use. Finally, we provide a roadmap for BCBAs who provide behavior analytic intervention to young autisticchildren and for Verified Course Sequence faculty to effectively align the 6th edition BCBA Test Content Outline with the principles and application of NDBI.

A bottleneck routing problem with a system of priority tasks

We consider a minimax routing problem related to visiting megacities under precedence conditions and cost functions with task list dependence. It is supposed that some megacity system requiring visiting above all is selected. For solving, an approach with decomposition into a set of two minimax routing problems is proposed. A two-step widely understood dynamic programming procedure realizing an optimal composition solution is constructed. The above-mentioned optimality is established by theoretical methods. Application of the results obtained is possible under investigation of multi-stage processes connected with regular allocation of resources. Another variant of application concerns the particular case of one-element megacities (i.e., cities) and may be related to the issues of aviation logistics under organization of flights using one tool (airplane or helicopter) under system of tasks on the realization of passing cargo transportation with prioritization of visits realized above all.

APPLICATION OF TRANSPORT MODELING IN URBAN PLANNING USING THE EXAMPLE OF VINNYTSIA

The issues of using transportation modeling for decision-making in urban planning are discussed using the example of Vinnytsia. Macro-simulation allows for analyzing overall traffic flow without reproducing the movement of individual vehicles in detail. It enables a quick evaluation of different scenarios for the development of the transportation network and determining the effectiveness of road traffic management strategies. The transportation model of the city enables analyzing the load on the road network in the current state and predicting this parameter for scenarios of implementing new infrastructure projects. Examples of load maps for the road network of Vinnytsia and an individual transport hub are shown from the transportation model of the city. Micro-modeling is the process of creating a mathematical model for a detailed analysis of vehicle movement in small areas (intersections, street sections, enterprise areas, etc.). An example of micro-modeling results for one intersection is presented. The application of micro-modeling in evaluating changes to the transportation network is an effective tool that allows municipalities to avoid inefficient use of funds and transportation mistakes that worsen traffic conditions. A list of tasks for micro and macro-modeling is analyzed. The main advantages and disadvantages of modeling and the risks that may arise from its use are described. The importance of the transportation model of the city is shown in both strategic and tactical approaches.

Voice Assistant and Virtual Mouse using Different AI Techniques and ML

This venture advocates a Human PC Cooperation strategy where cursor development can be controlled through ongoing camera by utilizing human hand stances acknowledgment. This strategy is an option in contrast to current procedures, which incorporate physically squeezing buttons or utilizing actual PC mouse. Instead, it manages various mouse events through camera and computer vision software and can perform any action that a standard computer mouse can. The Virtual Mouse color recognition software will continuously collect photos taken in real time and process them through a number of conversions and filters. Whenever everything is changed over, the application will utilize picture handling to extricate directions of determined variety position from changed over outlines. The process then looks at a list of color combinations, each of which corresponds to a specific set of mouse actions, and compares the current color schemes in the frames. On the off chance that the ongoing variety conspire matches, the application will play out the mouse order, which will be changed over into a genuine mouse order on the user\'s PC. Notwithstanding that creators have likewise fostered a voice right hand to further develop client efficiency by overseeing routine errands of the client and by giving data from online sources to the client since voice colleague is easy to utilize. The objective of this paper is to improve the virtual assistant's performance. In this way, what precisely is a remote helper. Software that understands natural language voice commands and can carry out tasks on your behalf is known as application software, which is also referred to as AI assistants or digital assistants. They are also referred to as virtual assistants. What is the role of a virtual assistant? The list of tasks that virtual assistants can carry out that you can carry out on your own smartphone or personal computer is constantly growing. Meeting scheduling, message delivery, and weather monitoring are just a few of the impressive tasks that virtual assistants typically carry out. Google Assistant and Cortana, two examples of previous virtual assistants, were limited in that they could only perform searches and were not entirely automated. To keep the song's control function intact, these engines, for instance, lack the ability to play and pause the song. They can only have the module to play and search for songs. In order to enhance the project's functionality, we are currently working on an automated Google, YouTube, and numerous other new tasks. Now, a virtual mouse that can only be used to control the cursor and click has been added to make the process easier.

Characterization of Tasks and Skills of Workers, Middle and Top Managers in the Industry 4.0 Context

This study intends to make a characterization of the main tasks and skills needed to face the Industry 4.0. Moreover, it gives special attention to the different company’s hierarchical levels. To achieve the goals of this paper, a methodology based on Collaborative Decision Making method was used. Firstly, thirty participants were interviewed to understand their point of views. Next, they were split into Group Works to refine the results. Finally, a Group Concordance took place to create the final list of tasks and skills. The skills were organized into four categories: Technical, Social, Methodological and Personal. The results show different requirements in each level. In the Workers level, due to the presence of more technical tasks, eight of the top ten skills belong to the Technical category. In the Middle Managers level, there are tasks of both leading and analyzing nature and thus the top ten skills needed are split through the four categories. Finally, in the Top Managers level, due to the presence of mainly strategy tasks, the top ten skills are split between the Methodological and Social categories. To the authors’ knowledge, this is one of the first studies to use a Collaborative Decision Making methodology to develop a set of tasks and skills that future work environments will demand on the different hierarchical levels of the organization.