For collaborative research to be successful, understanding and solving collaboration problems is of paramount importance. However, theory-driven research on this issue at a general level is scarce. Drawing from two micro-oriented approaches (i.e., club theory and commons theory) and relying on self-governance as the basic principle for addressing collaboration problems, we aim to develop theoretically informed, concise and generalizable catalogs of problems and solutions based on the experiences and expectations of research collaboration participants. A series of expert interviews ( = 18) were conducted with leading researchers in Germany. Seven typical problems (e.g., lack of commitment or fairness) and 12 possible solutions (e.g., continuous evaluation or creating cognitive common ground) that can be applied within the self-regulatory framework were identified. The results provide a useful framework to further investigate problems and solutions as well as interlinkages between the two, and to improve research collaboration.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8864336 | PMC |
http://dx.doi.org/10.3389/frma.2021.778176 | DOI Listing |
Med Educ Online
December 2025
Department of Gynecology and Obstetrics, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Interprofessional teaching rounds are a practical application of interprofessional education in bedside teaching, yet there is a lack of research on how interprofessional teaching rounds should be implemented into medical education. This study aimed to describe our experience in developing and implementing interprofessional teaching rounds during a clerkship rotation for medical students, and compares its strengths and weaknesses relative to traditional teaching rounds. Medical students were assigned to either the interprofessional teaching round group ( = 24) or the traditional teaching round group ( = 25), and each group participated in their assigned type of teaching round.
View Article and Find Full Text PDFTechnology-facilitated abuse (TFA) describes the misuse or repurposing of digital systems to harass, coerce, or abuse. It is a global problem involving both existing and emerging technologies. Despite significant work across research, policy, and practice to understand the issue, the field operates within linguistic, conceptual, and disciplinary silos, inhibiting collaboration.
View Article and Find Full Text PDFJ Gambl Stud
January 2025
Department of Psychosocial Science, University of Bergen, P.O. box 7807, Bergen, 5020, Norway.
Rates of gambling disorder (GD) have been found to be higher among people receiving disability benefit, but few studies have investigated whether receiving disability benefit prospectively actually increases the risk of GD. The present study investigated whether those with a disability benefit had an increased risk of developing GD using a case-control design. The study sample was retrieved from the Norwegian Patient Registry (NPR, N = 5,131) and consisted of all adults in Norway (18 years and older) who had received a GD diagnosis (F63.
View Article and Find Full Text PDFJMIR Res Protoc
January 2025
Université de Sherbrooke, Sherbrooke, QC, Canada.
Background: The centralization of decision-making power in the public health care system has a negative impact on the practice of professionals and the quality of home care services (HCS) for seniors. To improve HCS, decentralized management could be a particularly promising approach. To be effective, strategies designed to incorporate this management approach require attention to 3 elements: autonomy of local stakeholders, individual and organizational capacities, and accountability for actions and decisions.
View Article and Find Full Text PDFEvol Comput
January 2025
University of Jyvaskyla, Faculty of Information Technology, Finland
Interactive methods support decision-makers in finding the most preferred solution for multiobjective optimization problems, where multiple conflicting objective functions must be optimized simultaneously. These methods let a decision-maker provide preference information iteratively during the solution process to find solutions of interest, allowing them to learn about the trade-offs in the problem and the feasibility of the preferences. Several interactive evolutionary multiobjective optimization methods have been proposed in the literature.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!