The field of CSCL is at a critical moment in its development. Internally we face issues of fragmentation and questions about what progress is being made. Externally the rise of social media and a ...variety of research communities that study the interactions within it raise questions about our unique identity and larger impact on the world. To illuminate the complex issues involved and the multiple perspectives that exist on them, we conducted an iterative and generative consultation with members of the CSCL community through individual interviews and public interactive presentations. The result is a series of eight provocations for the field, each presented as a dialogue between the Provocateur/Provocatrice (who seeks to shake up the status quo) and the Conciliator (who seeks to build on the achievements of our current traditions). The provocations address the debated need for six things: one conceptual framework to unite our diverse tools and theories (#1), prioritization of learner agency over collaborative scripting (#2), scrupulous scrutiny of when “collaboration” and “community” are said to exist (#3), the pursuit of computational approaches to understand collaborative learning (#5), learning analytics and adaptive support to be a top priority in the field (#6), and the expansion of our focus to seriously address social media and large-scale learning environments (#7). In addition, the provocations highlight two areas in which perhaps we should desist: the attempt to reconcile analytical and interpretative approaches to understanding collaboration (#4), and the goal of achieving tangible change in the education system (#8). There are no resolutions offered in this paper; the interchanges presented are designed to lay out the complex constellation of issues involved and can be considered a dialogue that we are still in the process of having with ourselves as individuals and together as a community. We stress the urgency and importance for the field of CSCL to take up these questions and tensions, and critically, to work towards decisions and resultant actions. Our future as a scientific community — our very existence and identity, depends on it.
Assigning shipping orders to the most appropriate driver in the shortest time but with the highest profit is one of the major concerns of transportation companies. Many studies have been conducted on ...transportation service procurement systems; however, due to the lack of a framework for modeling human interactions, none of them has used the concept of information diffusion for this purpose. In this article, a monoplex weighted drivers' collaboration network is developed to model drivers' relationships within the transportation system. Besides, to identify and track communities during a given time interval of the network, a new community detection algorithm, called dynamic overlapping community detection (DOCD) algorithm, is designed, which can identify viable leaders in each community. In addition to detecting community leaders, the algorithm is able to monitor, assess, and detect the durability of these community leaders over time, which other algorithms are not able to. To evaluate the performance of the algorithm, it is compared with five different algorithms in terms of 14 evaluation measures. The results show the proposed DOCD algorithm outperforms the other algorithms with 88% superiority in the evaluation measures. Then, a fuzzy profit maximization model is developed using information diffused by the identified communities' viable leaders and information diffusion power of each community. Analyzing a real case study obtains two achievements in the form of "high-risk scenario" and "low-risk scenario" for well-known and novice transportation companies, respectively. Therefore, the obtained results show that transportation companies allocate orders to drivers based on their reputation and risk levels.
The collaboration with the Polytechnic Institute serves as a catalyst for organizational growth and success. By participating in technology demonstrations, designing tailored training activities, ...accessing funding programs, hosting interns and students, executing experimental actions, and accessing new technologies, facilities, and equipment, organizations benefit from a holistic approach to innovation. This collaboration drives competitiveness and paves the way for the development of innovative solutions, enabling them to thrive in a rapidly evolving business landscape. In this study, a Polytechnic Institute conducted an online survey to evaluate the importance of various factors that motivate organizations to collaborate with them. The survey specifically targeted companies in the vicinity of the institute, aiming to gain insights into different motivators that foster collaboration. The results of the survey provide evidence that the nine motivators under analysis are important to strengthen the interactions between the Polytechnical Institute and the organizations.
In human-robot collaborative assembly, robots are often required to dynamically change their pre-planned tasks to collaborate with human operators in a shared workspace. However, the robots used ...today are controlled by pre-generated rigid codes that cannot support effective human-robot collaboration. In response to this need, multi-modal yet symbiotic communication and control methods have been a focus in recent years. These methods include voice processing, gesture recognition, haptic interaction, and brainwave perception. Deep learning is used for classification, recognition and context awareness identification. Within this context, this keynote provides an overview of symbiotic human-robot collaborative assembly and highlights future research directions.
Observations of galaxies and primordial radiation suggest that the Universe is made mostly of non-luminous dark matter
. Several new types of fundamental particle have been proposed as candidates for ...dark matter
, such as weakly interacting massive particles (WIMPs)
. These particles would be expected to interact with nuclei in suitable detector materials on Earth, for example, causing them to recoil. However, no definitive signal from such dark-matter interactions has been detected despite concerted efforts by many collaborations
. One exception is the much-debated claim by the DAMA collaboration of a statistically significant (more than nine standard deviations) annual modulation in the rate of nuclear interaction events. Annual modulation is expected because of the variation in Earth's velocity relative to the Galaxy's dark-matter halo that arises from Earth's orbital motion around the Sun. DAMA observed a modulation in the rate of interaction events in their detector
with a period and phase consistent with that expected for WIMPs
. Several groups have been working to develop experiments with the aim of reproducing DAMA's results using the same target medium (sodium iodide)
. To determine whether there is evidence for an excess of events above the expected background in sodium iodide and to look for evidence of an annual modulation, the COSINE-100 experiment uses sodium iodide as the target medium to carry out a model-independent test of DAMA's claim. Here we report results from the initial operation of the COSINE-100 experiment related to the first task
. We observe no excess of signal-like events above the expected background in the first 59.5 days of data from COSINE-100. Assuming the so-called standard dark-matter halo model, this result rules out spin-independent corrected WIMP-nucleon interactions as the cause of the annual modulation observed by the DAMA collaboration.
. The exclusion limit on the WIMP-sodium interaction cross-section is 1.14 × 10
cm
for 10-GeV c
WIMPs at a 90% confidence level. The COSINE-100 experiment will continue to collect data for two more years, enabling a model-independent test of the annual modulation observed by the DAMA collaboration.
The state of research in the Science of Team Science is characterised by a wide range of findings on how successful research collaboration should be structured. However, it remains unclear how the ...multitude of findings can be put into a hierarchical order with regard to their significance for the success of cooperation. This is where the article comes in: based on the state of research, the question of which intra- and interpersonal factors are most significant for the success of a research team is investigated. In order to explore the ten most important reasons for the success of a research collaboration, a Random Forest classifier is specified that predicts the success of research collaborations on the basis of 51 input variables. The analyses presented in the paper are based on representative survey data on
n
= 1.417 principal investigators and spokespersons of ongoing and completed research clusters funded by the German Research Foundation. The success of a research cluster is operationalised as the extent to which it has achieved the goals that it communicated to the funding agency before it began. Highly realistic and clear research objectives are central to the success of research clusters, as are comprehensive agreement on objectives, close interconnection of the subprojects’ research work and a fair and trusting cooperation climate.
Flexible and rapidly adaptable automated production processes, e.g. with collaborative lightweight robots, are key aspects for the competitiveness of companies in globalised markets. However, ...software adaptation of the robot still requires specific programming skills. We have developed a human-centred programming by demonstration approach based on augmented reality to enable operators to intuitively adapt the robot programme. The developed hand-interaction model overcomes the challenge of object tracking during the assembly demonstration phase. This allows quick programme modifications by the operator using the head-mounted augmented reality device. The human-in-the-loop concept ensures a highly reliable and robust programming process.
Over the last decade, social capital concept has received considerable amount of research being regarded as an important value creation mechanism. However, we still have limited understanding about ...the nature of interaction between the dimensions of this capital, and how it can be useful in mitigating the impediments evolving during government-sponsored (i.e., engineered) university–industry collaboration (UIC). In this paper, we address the previous gap by analyzing the dynamics of social capital dimensions during the preformation and postformation stages of UIC. The paper relies on a unique context that comprises five embedded case studies of UIC for technology transfer: the Faraday Partnership Initiative, a UK government-backed novel scheme for enhancing innovation. The analysis shows that the impact and interaction of the dimensions were not static but rather varying over time. Further, we present a new value creation framework for social capital through mapping its power in reducing the intensity of difficulties emerged during the collaboration lifetime. We also identify two facilitating factors as critical in creating and maintaining social capital in engineered UIC. The present study thus contributes to a deeper understanding of the value of inter-organizational social capital.
•We analyze the dynamics of social capital (SC) in inter-organizational links.•Five cases of university–industry collaboration (UIC) are used.•The analysis shows that SC impact and interaction vary over time.•We present a new value creation framework for SC (mitigating UIC impediments).
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