Choreographing Creativity: Exploring Creative Centralization in Project Groups

2021 ◽  
Author(s):  
Elizabeth Rouse ◽  
Spencer Harrison
Keyword(s):  
Project Groups

scholarly journals Matrix model of controlling management decisions

2021 ◽  
Vol 284 ◽  
pp. 07002
Author(s):  
Aleksey Parshukov ◽  
Valery Potemkin ◽  
Igor Aleksandrov ◽  
Marina Fedorova
Keyword(s):  
Matrix Model ◽  
Internal Environment ◽  
Point Model ◽  
Management Decisions ◽  
Software Environment ◽  
Managerial Decisions ◽  
Controlling System ◽  
Project Groups ◽  
Data Transparency ◽  
Functional Areas

The article proposes the structure of the information and software environment of controlling managerial decisions and indicators that affect them. In particular, it describes: 1) a point model that allows you to analyze management decisions in conditions of a matrix functional structure for several branches (if any), functional areas and project groups simultaneously, 2) a system of indicators for fixing management decisions that allows you to create a database of management decisions, as well as maps of management decisions that reflect their content and correlating indicators, 3) model with factors of different influence on the process of making and implementation of managerial decisions, which can consist of a different number of indicators, 4) matrix model of controlling, which integrates all the models into a single system. Creation of controlling system of managerial decisions allows: to unite all types of managerial decisions into a single base, to avoid their inconsistency with each other, to keep centralized records of all indicators of external and internal environment and assess their impact on the implementation of managerial decisions, continuity of all data, transparency and convenience of control, possibility of prompt response to any deviations.

scholarly journals Scientific Management of Equipment in Medical Innovation Laboratory

2021 ◽  
pp. 11-14
Author(s):  
Yingmei Wang ◽  
Fangxin Liu ◽  
Xiaoyu Li
Keyword(s):  
Utilization Rate ◽  
Scientific Management ◽  
Equipment Management ◽  
Medical Innovation ◽  
Laboratory Management ◽  
Laboratory Equipment ◽  
Management Level ◽  
Project Groups ◽  
Level Method ◽  
Innovation And Entrepreneurship

Aim; To solve the problem of innovation laboratory instrument management and improve laboratory management level. Method; It is necessary to do an excellent job in managing innovative laboratory equipment by improving the equipment management system, functional division management, appointment registration, and strengthening the construction of management teams to guarantee the cultivation of innovation and entrepreneurship capabilities of undergraduates. Results; The number of innovative experimental projects approved and the number of project groups that the laboratory can accept at the same time was increased significantly. The utilization rate of laboratory equipment has increased, and the vacancy rate has decreased. Conclusion; Excellent instrument management can significantly improve the efficiency of scientific research in the innovation laboratory.

scholarly journals Students’ Perception and Reconciliation: Decision Making in Project Groups Formation

2021 ◽  
Vol 2007 (1) ◽  
pp. 012004
Author(s):  
K Rajeshwari ◽  
Apurva Rohit Hegde ◽  
Drishika Patil
Keyword(s):  
Decision Making ◽  
Project Groups

Training, Supervision, and Quality Assurance

2012 ◽  
pp. 51-58
Author(s):  
Eric Stice ◽  
Paul Rohde ◽  
Heather Shaw
Keyword(s):  
Quality Assurance ◽  
Group Leaders ◽  
Training Experience ◽  
Training Models ◽  
Face To Face ◽  
Training Approach ◽  
Project Groups ◽  
Body Project ◽  
Screening Procedures

Various training models can be effective, and the optimal training approach depends on the availability of experienced group leaders and other resources (e.g., supervisors). Ongoing supervision can be very helpful and enhance the training experience, which can occur via email, telephone, or face-to-face meetings. Recording the intervention sessions is recommended for supervision and quality assurance monitoring, as well as to enhance dissonance induction. With appropriate screening procedures, excellent group leaders can be recruited, trained, and supervised to maximize the success of Body Project groups. We have found that most facilitators with whom we have worked have expressed an enthusiastic interest in continuing to deliver the intervention.

scholarly journals What more than a hundred project groups reveal about teaching visualization

2020 ◽  
Vol 23 (5) ◽  
pp. 895-911 ◽  
Author(s):  
Michael Burch ◽  
Elisabeth Melby
Keyword(s):  
Programming Languages ◽  
Information Visualization ◽  
Teaching Strategies ◽  
Data Science ◽  
Major Goal ◽  
Wide Range ◽  
Project Groups ◽  
Small Project ◽  
Programming Skills ◽  
The Given

Abstract The growing number of students can be a challenge for teaching visualization lectures, supervision, evaluation, and grading. Moreover, designing visualization courses by matching the different experiences and skills of the students is a major goal in order to find a common solvable task for all of them. Particularly, the given task is important to follow a common project goal, to collaborate in small project groups, but also to further experience, learn, or extend programming skills. In this article, we survey our experiences from teaching 116 student project groups of 6 bachelor courses on information visualization with varying topics. Moreover, two teaching strategies were tried: 2 courses were held without lectures and assignments but with weekly scrum sessions (further denoted by TS1) and 4 courses were guided by weekly lectures and assignments (further denoted by TS2). A total number of 687 students took part in all of these 6 courses. Managing the ever growing number of students in computer and data science is a big challenge in these days, i.e., the students typically apply a design-based active learning scenario while being supported by weekly lectures, assignments, or scrum sessions. As a major outcome, we identified a regular supervision either by lectures and assignments or by regular scrum sessions as important due to the fact that the students were relatively unexperienced bachelor students with a wide range of programming skills, but nearly no visualization background. In this article, we explain different subsequent stages to successfully handle the upcoming problems and describe how much supervision was involved in the development of the visualization project. The project task description is given in a way that it has a minimal number of requirements but can be extended in many directions while most of the decisions are up to the students like programming languages, visualization approaches, or interaction techniques. Finally, we discuss the benefits and drawbacks of both teaching strategies. Graphic abstract

scholarly journals Supportive technology in collaborative research: proposing the STiCR framework

2020 ◽  
Vol 102 (1) ◽  
pp. 3-8
Author(s):  
RM Kwasnicki ◽  
LD Cato ◽  
L Geoghegan ◽  
G Stanley ◽  
J Pancholi ◽  
...  
Keyword(s):  
Clinical Trials ◽  
Collaborative Research ◽  
Enabling Technology ◽  
Web Searches ◽  
Financial Barriers ◽  
Use Of Technology ◽  
Start Up ◽  
Project Groups ◽  
The Uk ◽  
Media Applications

Introduction Achieving a standard of clinical research at the pinnacle of the evidence pyramid is historically expensive and logistically challenging. Research collaboratives have delivered high-impact prospective multicentre audits and clinical trials by using trainee networks with a range of enabling technology. This review outlines such use of technology in the UK and provides a framework of recommended technologies for future studies. Methods A review of the literature identified technology used in collaborative projects. Additional technologies were identified through web searches. Technologies were grouped into themes including access (networking and engagement), collaboration and event organisation. The technologies available to support each theme were studied further to outline relative benefits and limitations. Findings Thirty-three articles from trainee research collaboratives were identified. The most frequently documented technologies were social media applications, website platforms and research databases. The Supportive Technologies in Collaborative Research framework is proposed, providing a structure for using the technologies available to support multicentre collaboration. Such technologies are often overlooked in the literature by established and start-up collaborative project groups. If used correctly, they might help to overcome the physical, logistical and financial barriers of multicentre clinical trials.

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