Collective Task Research Articles

Multiagent UAV Routing: A Game Theory Analysis With Tight Price of Anarchy Bounds

We study the multiagent unmanned aerial vehicle (UAV) routing problem where a set of UAVs needs to collect information via surveillance of an area of operation. Each UAV is autonomous and does not rely on a reliable communication medium to coordinate with other UAVs. We formulate the problem as a game where UAVs are players and their strategies are the different routes they can take. Our model also incorporates the useful concept of information fusion. This results in a new variant of weighted congestion-type games. We show that the price of anarchy (PoA) of the game is at most 2, irrespective of the number of UAVs and their sensor capabilities. This also validates the empirical results of earlier works. Furthermore, we identify classes of games for the existence of a pure Nash equilibrium. To the best of our knowledge, these are the first such theoretical results in the related literature. Finally, we conduct experimental studies using randomly generated instances with several multiagent UAV routing policies. Our insights are that PoA increases with the congestion level when the same number of UAVs search a smaller area or more UAVs search the same area, and on an average, our proposed policies are less than 10% worse than the centralized optimal for the problem scenarios attempted. Note to Practitioners —UAVs are becoming increasingly popular for information collection tasks in defense and civilian applications alike. When the collection area is large, it is not unusual that a fleet of UAVs is deployed. Routing of a fleet can be performed in a centralized or decentralized manner. Decentralized routing might be the only possibility when centralized situational awareness is not possible due to bandwidth limitations and centralized optimal routes for each UAV in the fleet are too complex to compute. Autonomous solutions have several other advantages, let alone simplicity. For managers of UAV systems, our work provides the first theoretical characterization of how bad could decentralized routing be. Under various scenarios of information fusion, specifically weak and strong, and the attribution of information collected to each UAV of a team, we prove that the fleet will collect at least 50% of the best-centralized solution. Empirically, we show that, in fact, the performance of the fleet is much better and generally not worse than 10% of the best-centralized solution. Hopefully, our routing strategies provide valuable guidance to the practicing engineer or manager of a UAV fleet.

The Boko Haram Reader: From Nigerian Preachers to the Islamic StateEdited by Abdulbasit Kassim and Michael Nwankpa, introduced by David Cook

The editors of The Boko Haram Reader are to be congratulated for undertaking a herculean task of collecting and translating a plethora of primary documents from Arabic and Kanuri to English from Boko Haram (Jamaʿat ahl al-sunna li-daʿwa wa-l-qital). Over the last few years, Boko Haram has attracted a lot of interest as the group is responsible for the death of over 20,000 people and the displacement of millions. Studies have examined its history (Alexander Thurston), ideology (Jacob Zenn), the threat it poses and the military response to it (Virginia Comolli), or the economic and social drivers that aid the group’s recruitment (Atta Barkindo), etc. Some of the studies have not used primary sources in their assessments as such material is hard to come by. Thus, the book is an invaluable tool for researchers interested in Boko Haram and Salafi-jihadism in Nigeria and West Africa. Studies on Boko Haram and Salafi-jihadism have become highly polarized. Scholars debate how one should interpret the evidence, which is always challenging when looking at groups such as Boko Haram, as well as on how evidence is collected and presented (see for example the debate between Jacob Zenn and Adam Higazi, Brandon Kendhammer, Kyari Mohammed, Marc-Antoine Pérouse de Montclos, and Alex Thurston that took place in Perspective on Terrorism in 2017).

Group identity and partnership

We design a laboratory experiment to investigate how group identity influences decisions in a principal-agent framework with hidden actions and a revenue-sharing payment scheme. Group identity is induced by randomly assigning participants to groups and is further enhanced using a collective puzzle-solving task. We find that the principal makes a more generous revenue-sharing offer to the ingroup agent than to the outgroup agent. While an ingroup agent is less tolerant of a low offer from the principal, she exerts a greater effort in response to a more generous offer than does an outgroup agent. Our findings shed important light on the interplay of monetary incentives and group identity in tackling the principal-agent problem.

Collective responsibility framing also leads to mitigation behavior in East Asia: a replication study in Taiwan

Mitigating climate change will require the participation of citizens and consumers. A recent study in Climatic Change by Obradovich and Guenther reported that framing responsibility for climate change in terms of collective—as opposed to personal—behaviors generated greater donations to environmental groups as well as higher self-reported levels of willingness to adopt environmentally-friendly behaviors. As East Asia is the leading emitter of greenhouse gases globally, these findings are or clear relevance to the region. Nonetheless, recent findings in cultural psychology suggest that this framing intervention may not have the same results in an East Asian cultural context. We therefore sought to determine whether these findings could be replicated in East Asia. For this study, 2085 university students in Taiwan were randomly assigned to receive either a collective responsibility priming task, a personal responsibility priming task, or a daily routine priming task (control). They were then given the opportunity to donate to a climate-related cause and asked to report on their likelihood of changing their personal behaviors to reduce carbon emissions. Participants in the collective and personal conditions donated significantly more than those in the control condition and those in the personal responsibility condition reported significantly lower probabilities of changing their behaviors than those in both the control and collective responsibility conditions. Our study provides a partial replication with a different demographic group and in a different cultural setting, strengthening the argument for collective responsibility framing and setting the stage for research into practical implementations.

Early ontogenic emergence of personality and its long-term persistence in a social spider

Recent studies increasingly show that personality types in animals can vary with time. Personality types including boldness and aggression have been recently reported as important determinants of collective task performance, task specialisation and task proficiency in social spiders. These studies were performed in subadult and adult spiders and over the short term (3–15 days). Therefore, the ontogeny of these personality types and its persistence over timescales relevant to the lifespan of any social spider species remains unknown. In the social spider Stegodyphus sarasinorum, we investigated 1) if early instar juveniles exhibited consistent and repeatable personality types, 2) if personality types persisted over the long term in subadults and 3) if personality types are influenced by subadult body condition. Juveniles (3rd and 4th instars) showed consistent inter-individual differences and repeatability in boldness and aggression (across 21 days). Subadults showed consistency in boldness and aggression over a duration of 51 days, which covers a significant part of the subadult stage. However, repeatability of these traits declined over the long term. Moreover, boldness and aggression were not influenced by body condition (nutritional state) of subadults. Thus, we hypothesise that the early ontogeny of personality and its long-term persistence can influence behavioural propensities and task partitioning through later life stages in social spider colonies. Personalities have been demonstrated in a number of animal species. In animal societies, individuals with different personality types are known to engage in different activities within the group, leading to overall efficiency. Personalities have recently been shown to exist in social spiders. For example, aggressive spiders have a greater tendency to hunt prey than less aggressive individuals. However, for most animals, it remains unknown whether personality types manifest in very young individuals. Here, we show for the first time in social spiders that juveniles have personalities just as in adults. We also show that personality types persist over significant portions of individuals’ life spans. These findings show that stable personality types can be important in collective tasks such as capturing prey.

Energy‐aware dynamic task offloading and collective task execution in mobile cloud computing

SummaryThere is a good opportunity for enlightening the services of the mobile devices by introducing computational offloading using cloud technology. Offloading is a process for managing the complexity of the mobile environment by migrating computational load to the cloud. The mobile devices oblige the quick response for the offloading requests; it is dependent on network connectivity. The cloud services take long set‐up time irrespective of network connectivity. In this paper, new system architecture for the dynamic task offloading in the mobile cloud environment is proposed. The architecture includes the offloading algorithm that concentrates on energy consumption of the tasks both in the local and remote environment. The proposed algorithm formulates a collective task execution model for minimizing the energy consumption. The architecture concentrates on the network model by considering the task completion time in three different network scenarios. The experimental results show the efficiency of the suggested architecture in reducing the energy consumption and completion time of the tasks.

A two-stage imitation learning framework for the multi-target search problem in swarm robotics

As a distributed system with a large number of individuals, swarm robotics is particularly suitable for multi-target search problems. Most existing work is about strategic design while this article focuses on strategy imitation. Sometimes we can observe the behavior of individuals and obtain a large amount of data, but we do not know the specific details of the strategy behind the behavior. Imitating the self-organizing behavior of organisms is of great significance for us to design efficient swarm strategies and to reveal the underlying mechanisms. The actual strategy adopted by individuals can be called the target strategy, and in this article, a two-stage imitation learning framework is proposed to approach the target strategy. In the first stage, a deep neural network is trained using the behavioral data of individuals, and in the second stage, the parameters of the neural network are further fine-tuned using the evolutionary algorithm. After two stages of learning and evolution, the resulting strategy RNSE is very close to the target strategy in terms of multiple indicators, including search efficiency, stability, parallel processing capability, and collaborative processing capability. In addition to multi-target search, the framework can also be used for other collective tasks such as aggregation and dispersion. In this paper, the design of neural networks and the settings of the evolutionary algorithm are discussed in detail, which is of great significance for the migration application of the framework.

Application of social network platform in graduates information collection

Objective To carry out graduates information collection work based on the social network platform in order to accomplish the collection task with low cost and high efficiency. Methods The H5 page editing software was used to make information collection pages, and the social networks such as WeChat and QQ were used to publish the pages and collect the data. Results There were 693 pieces of target data. Totally 739 pieces of data were collected through the platform, including 627 pieces of effective data. In addition, data collection which was carried out through two other ways by telephone and mail (658 pieces) accounted for 95% of the total target data, basically realizing the collection target. Conclusion The proper use of social network platform can help to notify the target user group and complete the information collection work in a short time. Key words: Social network; Online platform; Information collection

Deployment Optimization of Data Centers in Vehicular Networks

Due to the ubiquitous utilization of GPS devices, traffic cameras, and sensing devices, data are collected more readily in a smart city. If all the cabs of this city are used as data carriers, data generated by sensing devices will be collected to data centers efficiently and economically. Therefore, vehicular networks joint sensing devices provide more perspectives for a variety of vehicle-based applications. In this paper, three data centers deployment optimization schemes are proposed to optimize data centers' deployment, which can considerably enhance the performance of data collection and code dissemination tasks. Each proposed scheme uses different criteria to optimize the deployment of data centers: 1) locations of sensing devices; 2) locations that have high traffic flow; and 3) locations that have high valid flow, and these schemes are called Scheme 1, Scheme 2, and Scheme 3, respectively. In addition, another scheme that produces the deployment of data centers randomly is called Scheme 4, and it is used as a contrast in experiments. After performing extensive experiments and simulations based on two real-world datasets of cabs' GPS coordinates, the experiment results demonstrate that Scheme 3 noticeably outperformed remaining schemes under various circumstances. The results of February 3 were taken (Dataset 1) for instance. In comparison with Scheme 4, Scheme 3 enhances the total number of collected data packets by 57.71% when the number of the data center is ten, the speed of code dissemination and the coverage of cabs are ameliorated by 23.92% and 12.93%, respectively. Compared with Scheme 1, the total number of Scheme 3's collected packets is 65.00% higher than that of Scheme 1 when there are ten data centers deployed. The figures for Scheme 3's code dissemination and the coverage of sensing devices exceed that of Scheme 1 by 18.98% and 10.21%, respectively.

Криптоэкономика: пилотный анализ инвестиций в ICO-стартапы с использованием нейронных сетей

In the field of cryptoeconomics the Ethereum (Ethereum Foundation) project gave opportunity to create “own” cryptocurrency – new token based on its smart-contract platform to everyone without lowlevel programming skills. Then it became obvious that tokens could be used for crowdfunding as the Ethereum did in 2014. Unregulated and easy to access such scheme became popular among related to the blockchain tech startups. It was named Initial Coin Offering (ICO/or ITO). Despite its name, which is similar to IPO, this scheme is usually used for venture funding of a new project instead of expanding already well-established working business. The authors use machine-learning algorithms to classify ICOs and estimate ROI based on public digital data and web-sources. The goal of the research is to develop sustainable and efficient model, which will predict target profit ROI (profit trends) of ICO startup. Data collection and analysis period: Feb-Mar 2018. The prediction model and the application (service) of ICO startups’ selection are developed as the result of the study. Results. There were over 3000 samples of ICO-startups in the research dataset. After cleaning and elimination of outliers, it contained only 518. The number of samples with positive ROI (which means that these ICOs were profitable) was 234. Cross validation metric was confirmed to be accurate. The model achieved 79 % accuracy (average value). To prove this score separated prediction was executed the metrics: for test dataset AUC is 0.78; for profitable samples Precision: 0.76; Recall: 0.9 for profitable; F1-score: 0.82. Discussions. In order to achieve the objectives of this study, various IT components of the service architecture (applications) were developed to monitor, analyze and predict the risks of ICO startups. An artificial neural network was developed to solve the problem of ROI classification and prediction. The average ROI among profitable ICOS was 47 %. Taking into consideration that the crypto market is highly volatile and that there is a possibility that such investments will not bring any profit, this model of monitoring, analysis and prediction can be very valuable for the purposes of critical selection (exclusion) of a number of ICO projects from potential investment. Conclusion. The developed components can be used as a basis of monitoring service of ICO startups. The risk-forecasting model can be improved, foremost, by using the most complete (and wider) set of data. In this case, individual data collection and processing tasks can be performed manually, which will require additional resources. It should be noted that other types of neural networks can be developed for both text analysis and trading data analysis. This may lead to the logic of using a combination of models, which will potentially help to provide the most accurate predictions.

Underwater Wireless Sensor Networks: A Review of Recent Issues and Challenges

Underwater Wireless Sensor Networks (UWSNs) contain several components such as vehicles and sensors that are deployed in a specific acoustic area to perform collaborative monitoring and data collection tasks. These networks are used interactively between different nodes and ground-based stations. Presently, UWSNs face issues and challenges regarding limited bandwidth, high propagation delay, 3D topology, media access control, routing, resource utilization, and power constraints. In the last few decades, research community provided different methodologies to overcome these issues and challenges; however, some of them are still open for research due to variable characteristics of underwater environment. In this paper, a survey of UWSN regarding underwater communication channel, environmental factors, localization, media access control, routing protocols, and effect of packet size on communication is conducted. We compared presently available methodologies and discussed their pros and cons to highlight new directions of research for further improvement in underwater sensor networks.

Data Collection Through Mobile Vehicles in Edge Network of Smart City

With increasing technological facilities, billions of sensor devices are deployed in the smart city, which allows to sense and collect the status and information of all kinds of infrastructures in the city. Those large number of sensing nodes form many self-organized wireless sensor networks (WSNs). Although the single WSN has been widely studied by researchers. However, few studies have focused on how to effectively connect to Internet of Things (IoT) and collect data in many decentralized WSNs of smart city with a low cost. In this paper, a cluster head rotation joint mobile vehicle data collection (CHR) scheme is proposed to effectively collect data from many decentralized WSNs in smart city with a low cost. In CHR scheme, each WSN selects one or multiple nodes which can connect to mobile vehicles as the cluster heads. Then all the in-network sensor nodes send their data to cluster head through multi-hop communication, due to the cluster head can connect to mobile vehicles, so when mobile vehicles pass by cluster head, the data of cluster head can be sent to mobile vehicles and brought to the data center to process. We first propose a single cluster head rotation joint mobile vehicle data collection (SCHR) scheme to collect data by only using a single CH in a WSN in which the CH rotation and clustering algorithms are carefully designed to balance in-network energy consumption. Then multiple cluster head rotation joint mobile vehicle data collection (MCHR) scheme is proposed to further balance the energy consumption and prolong the network lifetime in which multiple cluster heads are selected to be jointly responsible for the data collection task. The extensive experiments show that the CHR scheme has good performance in the network energy, network lifetime and network transmit capacity.

Fault Prediction Method for Wireless Sensor Network Based on Evidential Reasoning and Belief-Rule-Base

Wireless sensor network (WSN) is a distributed intelligent network, which can independently achieve the information collection task of monitoring targets. However, the WSN is susceptible to faults due to various factors, such as sensor resources, network bandwidth, and work environment. The WSN fault prediction technology can estimate the fault trend of the WSN, which can provide the basis for the formulation and implementation of emergency strategies. In this paper, a new WSN fault prediction method is proposed based on evidential reasoning (ER) and belief rule base (BRB). First, the process of the WSN fault prediction is described, which mainly includes the fault assessment of the current WSN and the fault prediction of future WSN. Second, the WSN fault prediction model is constructed, including the ER-based fault assessment model and BRB-based fault prediction model. The projection covariance matrix adaptation evolutionary strategies (P-CMA-ESs) are used to optimize model parameters. Finally, a case study is constructed to verify the validity of the WSN fault prediction model. The experimental results show that the model can adequately estimate the fault state of the current WSN and then predict the fault status of future WSN.

Impact de la robotisation des machines sur l’activité d’un opérateur

Adapting the robot to the man with whom it interacts in order to improve working conditions and efficiency is the final objective of this work. In order to achieve this it is essential to understand Man by watching him work and interact with the robot in order to adapt the said robot by modifying its mode of interaction and its degree of automation. Three research questions are addressed in this article: Is human activity influenced by its interaction with the robot? How does it cooperate in the event of a blocking event? And is the robot's perception of the human being altered in these cases? 23 subjects participated in an experiment using a tracking robot as part of a parcel collection task. Four indicators based on the analysis of the subjects' activity were constructed. They quantify the operator's strategy and cooperation with the robot. The results show that the increase in the degree of autonomy of the assistant has led to a change in the leaders' strategy, that the type of cooperation used by the leader is identifiable by the analysis of his activity and that the evolution of the robot's level of acceptance is linked to the degree of autonomy of the robot. The level of cooperation between a person and a robot is therefore quantifiable based on the observation of their behaviour. The real-time adaptation of the robot to the person co-operating with it is within the realm of feasibility.

Development of Process-centered Performance Task For Curriculum･Instruction･Assessment Alignment based on 2015 Revised Home Economics Curriculum

본 연구는 2015 개정 교육과정에서 강조하고 있는 교육과정, 수업, 평가의 일체화를 실현하기 위한 가정과 과정 중심 수행과제 개발 및 적용사례를 제시하는데 목적을 두었다. 이러한 목적에 따라 개발 절차는 수행의 명료화, 수행과제 및 채점기준 개발, 수행평가 실시 및 결과의 3단계로 수행하였으며 연구 결과는 다음과 같다. 첫째, 수행의 명료화 단계에서는 2015 개정 기술 · 가정 교육과정의 분석을 통해 성취기준-학습목표-평가목표가 일관성을 가지도록 평가시기, 횟수, 반영비율, 수행평가의 영역별 배점, 평가유형을 포함한 학기별 평가계획을 수립하였다. 둘째, 수행과제 및 채점기준개발 단계에서는 교육과정 내용체계를 분석하여, 수행과제를 결정하고 과제 소요시간, 참여 방법, 산출물의 형태를 고려하여 개별과제와 모둠과제를 포함한 포트폴리오, 프로젝트 활동 및 지식시장, e-NIE 유형의 수행과제를 개발하였다. 개발된 수행과제는 교과 전문적 학습공동체 협의를 통해 타당성을 검토하고 재수정하여 세부적인 수행과제 채점기준을 개발하였다. 셋째, 수행평가 실시 및 결과 단계에서는 교사의 수업방향에 따라 교과 운영을 계획을 수립하고 교수 · 학습과 연계하여 블록 수업으로 시간표를 편성한 후 수행평가를 실시하였다. 이후 교과 전문적 학습공동체에서 개발된 수행평가 과제와 수행평가 산출물, 수업적용에 대한 수업성찰을 토대로 수행평가 과제를 재수정 하였다. 본 연구를 통해 학습자의 성장을 도울 수 있는 학습의 과정을 중시하는 수행과제를 개발함으로써 교사의 수업전문성과 현장의 수업개선에 기여할 수 있다.The purpose of the study was to show the development process of the total instructional alignment based on the 2015 revised technology home economics curriculum, and to present the detailed aspects of this task. The results of this study were as follows: First, the clarity phase of the performance established the annual evaluation plan to ensure the consistency of the achievement standard, the learning objectives and the assessment objectives through an analysis of the curriculum. Second, the development phase of the performance tasks and the grading criteria analyzed the contents area and determined the performance assessment task. The performance assessment consisted of a portfolio and project activity types, and also comprised of knowledge markets, as well as e-NIE tasks, including individual tasks and collective tasks. Third, the performance assessment and the results phase were conducted after planning the class operation according to the instructors` directions and arrangement of the schedule into block classes. Afterwards, the performance assessment tasks were revised by the teaching-learning community and class reflection on practical application. As these results demonstrate, developing performance tasks that are centered on the learner’s development processes can contribute to teachers’ expertise and improvement of instruction.

Особливості використання даних аерофотознімання у процесах збирання відомостей про землі лісогосподарського призначення

Актуальність теми дослідження пов’язана з питанням всеосяжного наповнення Державного земельного кадастру, що буде включати відомості про всі землі на території України, у тому числі про землі лісогосподарського призначення. Відповідною метою дослідження постало дослідження відповідності можливостей аерофотознімання засобами БпЛА прикладним задачам збору та інтерпретації інформації про землі лісогосподарського призначення. Практична частина роботи виконана в межах відповідного дисертаційного дослідження на тестовому промисловому полігоні у м. Харків, що має часткове деревне покриття. За результатами дослідження можна зробити практичний висновок про можливість застосування БпЛА в задачах впорядкування земель лісогосподарського призначення з певними обмеженнями. Так, з’ясовано що отримання інформаці ї може б ути ускладнене в активний вегетаційний період дерев впродовж до опадання листя через наявність тісно зімкнутих деревних крон та на просіках між ділянками з насадженнями, що мають незначні відмінності в часі посадки. Описане дослідження має перспективи розвитку в напрямі вдосконалення методики збору просторово розподілених даних про землі лісогосподарського використання та запровадження єдиного стандарту збору та інтерпретації інформації.

ANALISIS PENERAPAN AKUNTANSI ZAKAT , INFAQ, SHODAQOH PADA BADAN AMIL ZAKAT NASIONAL (BAZNAS) PROVINSI JAWA BARAT

The potential of zakat in Indonesia is currently around Rp 217 Trillion. Four times from the Ministry of Religion budget. Very big. However, one of the fundamental problems is the awareness of muzakki to fulfill zakat through zakat institutions is very small. The zakat institution in Indonesia is called the National Zakat Amil Agency (BAZNAS). The West Java Provincial Amil Zakat Agency has the main task of collecting, managing, distributing and empowering zakat, infaq, shadaqah funds, from all Muslims in West Java Province, based on the Zakat Act No.23 of the fifth part of article 29 paragraph 1 every year make annual reports as accountability. The accountability referred to in this case is the making of financial statements that are in accordance with the terms and conditions set out in the financial accounting standard PSAK 109 and are inseparable from sharia principles. The purpose of this study was to find out and apply PSAK109 regarding accounting for zakat infaq and almsgiving at the National Zakat Amil Agency (BAZNAS) of West Java Province. The method of analyzing the research conducted is descriptive qualitative analysis method. The results of this study indicate that the BAZNAS of West Java Province is in accordance with PSAK 109. However, the recognition of the burden of collection and distribution of zakat is not in accordance with PSAK 109

An Investigation into Goodness of Zakat Laws in Selected Countries

Zakat as an annual flow of charity funds has received increasing attention of financial regulators and policy makers. Unlike other forms of Islamic philanthropy, zakat is mandated and compulsorily levied on every high-net-worth Muslim. Its primary goal is to serve as a tool to provide for the basic needs of the poor and the needy. Traditionally, most Muslim societies have viewed zakat as a purely religious matter. In such countries, zakat is managed entirely by the state apparatus dealing with religious affairs of its people. In some other countries with secularism as the avowed policy, the state sees no role for itself in religious matters and leaves the same to individuals and non-state actors. In yet another set of countries, the state sees the importance of a proactive role for itself in zakat management even while the task of zakat collection and distribution remains in the private domain. These countries have witnessed an increasing integration of zakat with the financial system. This paper hypothesizes that the regulatory framework for zakat management has an important bearing upon the mobilization of such funds and their utilization for alleviation of poverty. Using the concept of “goodness of laws” it undertakes a comparative analysis of the 29 sets of zakat laws as they exist in eight countries across the globe and seeks to delineate the “core principles” that should form the basis of legal and regulatory reforms that are necessary to strengthen the sector

Discussion on Reverse Design of Components with Complex Curved Surface and Computer Numerical Control Machining

Abstract: With the continuous development and advancement of science and technology, the work of tool path planning has received extensive attention. Among them, curved surface generation and data processing are the focus of management and design, which necessitate the full application of reverse design of complex curved surface components to complete numerical control processing, effective optimization and upgrading, integration the tasks of point cloud data collection and point cloud data processing to ensure that the corresponding computer numerical control machining model can exert its actual value. This paper briefly analyzes the basic principles of curved surface reconstruction as well as discusses the reverse design of complex curved components and the experimental processes and results that involved computer numerical control machining, which serves the purpose as reference only.

Academics’ motivations explain time-allocation and well-being at work

IntroductionLittle is known about the determinants of Faculty members’ well-being and the temporal distribution of academics activities (research, teaching, and collective tasks). We linked well-being in the sense of PERMA (Seligman, 2011) to an inventory of academics’ motives and to measures of relative involvement in work activities. AimTesting the hypothesis that an inventory of academics’ motives could explain inter-individual variations in well-being and in time distribution of work activities. MethodTwo hundred and twenty-two senior lecturers from French universities filled in a questionnaire of professional motives, a collection of well-being scales implementing PERMA. They also provided a measure of their relative time-distribution by means of a tool designed for this purpose. ResultsA seven-motive structure was extracted and confirmed by CFA. It explained 81.7% of the variance of the 21 final items: (1) Contribution to Progress by Research; (2) Teamwork in Teaching; (3) Self-esteem through Teaching; (4) Autonomy in Research Activities; (5) Positive Relationships with Students; (6) Autonomy in Teaching; and (7) Collaboration. The motives explained membership to six Relative ‘Temporal Allocation Profiles’ extracted by k-means (Cox and Snell pseudo-R2=.332). In path analyses, the motives explained from 40 to 52% of the variance of the five PERMA elements. ConclusionThe study provides three contributions: an original inventory of the structure of academics’ motives; a first use of the PERMA model for measuring academics’ well-being; and a new tool for measuring differential involvement in academic activities.