Relational network prepared by the authoring team.

<p>Our team’s relational network is visually represented as a series of spatial arrangements, communicating the overall team structure. Additionally, team members are interconnected with color-coded bands that denote functional clusters within the group. <i>Figure representing relationsh...

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التفاصيل البيبلوغرافية
المؤلف الرئيسي:	Lesedi Mamodise Modise (20826978) (author)
مؤلفون آخرون:	Mahsa Alborzi Avanaki (18268255) (author), Saleem Ameen (20826981) (author), Leo A. Celi (4856749) (author), Victor Xin Yuan Chen (20826984) (author), Ashley Cordes (19730998) (author), Matthew Elmore (6787874) (author), Amelia Fiske (12369388) (author), Jack Gallifant (16827848) (author), Megan Hayes (2171125) (author), Alvin Marcelo (13919054) (author), Joao Matos (14158398) (author), Luis Nakayama (17043453) (author), Ezinwanne Ozoani (20826987) (author), Benjamin C. Silverman (20826990) (author), Donnella S. Comeau (20826993) (author)
منشور في:	2025
الموضوعات:	Biotechnology Developmental Biology Science Policy Hematology Biological Sciences not elsewhere classified studies across business organizational contexts demonstrate limited framing neglects embedding epistemic diversity diversity improves outcomes create epistemic limitations mitigate bias effectively address unconscious bias address biases stemming medical artificial intelligence clinical artificial intelligence solving — must div >< p influence ai design address harmful biases researchers ’ positionality complexity </ p clinical decision support effective ai systems harmful bias medical ai amplifying biases clinical settings clinical care reflection — experiences — unexamined subjectivities tcs establish steps taken research teams research practices paper introduces overlooked role overall performance making quality inequitable applications including innovation improve fairness frequently attributed enhancing governance empirical basis demo </ data quality collaborative processes actively cultivated
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الوصف
الملخص:	<p>Our team’s relational network is visually represented as a series of spatial arrangements, communicating the overall team structure. Additionally, team members are interconnected with color-coded bands that denote functional clusters within the group. <i>Figure representing relationships among team members found at:</i> <a href="https://www.teamcard.io/team/demo" target="_blank">https://www.teamcard.io/team/demo</a>. <i>It utilizes a forced-directed graph to display the multifaceted relationships and backgrounds of the team, in a clear, visually discernible way. The visualization was rendered using React Flow (a node-based graph visualization library), and the layout algorithm was implemented with the support of D3.js (a toolkit for data-driven documents). The graph consists of two fundamental components: nodes that represent team members, and edges that represent the relationships between team members. Prior to rendering, nodes were labeled according to their group affiliation, so that clusters of closely connected individuals can be displayed within close proximity to one another. After labeling, a structured circular layout for each cluster was implemented, such that each node within a cluster is evenly spaced to form a radial distribution of equal segments that are proportional to the number of nodes within the given cluster. This initial placement served as a starting point for the dynamic force simulation, which is implemented to iteratively refine node positions to an equilibrium state that represents the natural interconnections among team members.</i></p>

Relational network prepared by the authoring team.

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