scholarly journals Using Stakeholder Insights to Enhance Engagement in PhD Professional Development

2021 ◽  
Author(s):  
Deepti Ramadoss ◽  
Amanda F. Bolgioni ◽  
Rebekah L. Layton ◽  
Janet Alder ◽  
Natalie Lundsteen ◽  
...  
Keyword(s):  
Professional Development ◽  
Stakeholder Engagement ◽  
Career Guidance ◽  
Network Visualization ◽  
Visualization Tool ◽  
Network Development ◽  
Academic Institutions ◽  
Functional Roles ◽  
External Stakeholders ◽  
Stakeholder Network

AbstractThere is increasing awareness of the need for predoctoral and postdoctoral professional development and career guidance, however many academic institutions are only beginning to build out these functional roles. As a graduate career educator, accessing the vast silos and resources at a university and with industrial partners can be daunting, yet collaborative endeavors and network development both on and off campus are crucial to the success of any career and professional development office. To better inform and direct the efforts of graduate career offices, forty-five stakeholders external and internal to academic institutions were identified and interviewed to gather and categorize perspectives on topics critical to career and professional development offices. Using a stakeholder network visualization tool developed by the authors, stakeholder engagement can be rapidly assessed to ascertain areas where offices have strong connections and other areas where additional efforts could be directed to enhance engagement. General themes from interviews with internal and external stakeholders are discussed to provide graduate career educators with various stakeholder subgroup perspectives to help prepare for successful interactions. Benefits include increased engagement and opportunities to collaborate, as well as the opportunity to build or expand graduate career development offices.

scholarly journals Haplotype Explorer: an infection cluster visualization tool for spatiotemporal dissection of the COVID-19 pandemic

2020 ◽  
Author(s):  
Tetsuro Kawano-Sugaya ◽  
Koji Yatsu ◽  
Tsuyoshi Sekizuka ◽  
Kentaro Itokawa ◽  
Masanori Hashino ◽  
...  
Keyword(s):  
Infectious Diseases ◽  
Phylogenetic Relationships ◽  
Viral Genome ◽  
Functional Limitations ◽  
Time Dependent ◽  
Network Visualization ◽  
Visualization Tool ◽  
Genome Sequences ◽  
Haplotype Networks ◽  
Cluster Visualization

AbstractThe worldwide eruption of COVID-19 that began in Wuhan, China in late 2019 reached 10 million cases by late June 2020. In order to understand the epidemiological landscape of the COVID-19 pandemic, many studies have attempted to elucidate phylogenetic relationships between collected viral genome sequences using haplotype networks. However, currently available applications for network visualization are not suited to understand the COVID-19 epidemic spatiotemporally, due to functional limitations That motivated us to develop Haplotype Explorer, an intuitive tool for visualizing and exploring haplotype networks. Haplotype Explorer enables people to dissect epidemiological consequences via interactive node filters to provide spatiotemporal perspectives on multimodal spectra of infectious diseases, including introduction, outbreak, expansion, and containment, for given regions and time spans. Here, we demonstrate the effectiveness of Haplotype Explorer by showing an example of its visualization and features. The demo using SARS-CoV-2 genome sequences is available at https://github.com/TKSjp/HaplotypeExplorerSummaryA lot of software for network visualization are available, but existing software have not been optimized to infection cluster visualization against the current worldwide invasion of COVID-19 started since 2019. To reach the spatiotemporal understanding of its epidemics, we developed Haplotype Explorer. It is superior to other applications in the point of generating HTML distribution files with metadata searches which interactively reflects GISAID IDs, locations, and collection dates. Here, we introduce the features and products of Haplotype Explorer, demonstrating the time-dependent snapshots of haplotype networks inferred from total of 4,282 SARS-CoV-2 genomes.

scholarly journals CrosstalkNet: mining large-scale bipartite co-expression networks to characterize epi-stroma crosstalk

2017 ◽  
Author(s):  
Venkata Manem ◽  
George Adam ◽  
Tina Gruosso ◽  
Mathieu Gigoux ◽  
Nicholas Bertos ◽  
...  
Keyword(s):  
Stromal Cells ◽  
Large Scale ◽  
Network Visualization ◽  
Visualization Tool ◽  
Biological Processes ◽  
Web Based ◽  
Link Type ◽  
A Cell ◽  
Large Scale Networks ◽  
User Friendly

ABSTRACTBackground:Over the last several years, we have witnessed the metamorphosis of network biology from being a mere representation of molecular interactions to models enabling inference of complex biological processes. Networks provide promising tools to elucidate intercellular interactions that contribute to the functioning of key biological pathways in a cell. However, the exploration of these large-scale networks remains a challenge due to their high-dimensionality.Results:CrosstalkNet is a user friendly, web-based network visualization tool to retrieve and mine interactions in large-scale bipartite co-expression networks. In this study, we discuss the use of gene co-expression networks to explore the rewiring of interactions between tumor epithelial and stromal cells. We show how CrosstalkNet can be used to efficiently visualize, mine, and interpret large co-expression networks representing the crosstalk occurring between the tumour and its microenvironment.Conclusion:CrosstalkNet serves as a tool to assist biologists and clinicians in exploring complex, large interaction graphs to obtain insights into the biological processes that govern the tumor epithelial-stromal crosstalk. A comprehensive tutorial along with case studies are provided with the application.Availability:The web-based application is available at the following location: http://epistroma.pmgenomics.ca/app/. The code is open-source and freely available from http://github.com/bhklab/EpiStroma-webapp.Contact:[email protected]

Educational Technoethics Applied to Career Guidance

2011 ◽  
pp. 175-188
Author(s):  
Manjit Singh Sidhu ◽  
Pilar Alejandra Cortés Pascual
Keyword(s):  
Professional Development ◽  
Career Guidance ◽  
Historical Context ◽  
Ethical Analysis ◽  
Ethical Values ◽  
Professional Orientation ◽  
Starting Point ◽  
Points Of View ◽  
Two Parameters ◽  
Present Text

Educational orientation should be set within a specific socio-historical context, which is nowadays characterized by the Society of Information. From this starting point, we think that the understanding of both an ethical analysis of technology as well as of the means of communication, which individuals will have to deal with in their professional development, must be considered as content linked to professional orientation. This idea becomes more definite in the concept of educational technoethics and it is studied from two parameters: the intrinsic values that technology and the means of communication include (the aim of technoethics) and their use as mediators of ethical values (means of technoethics). Therefore, the proposal that is currently being implemented in the project “Observation Laboratory on Technoethics for Adults” (LOTA) as well as its implications for professional orientation are concisely presented from both points of view. The present text is a review and update of a previously published article (Cortés, 2006).1

scholarly journals Increasing students’ social engagement during COVID-19 with Net.Create: collaborative social network analysis to map historical pandemics during a pandemic

2020 ◽  
Vol 121 (7/8) ◽  
pp. 533-547
Author(s):  
Kalani Craig ◽  
Megan Humburg ◽  
Joshua A. Danish ◽  
Maksymilian Szostalo ◽  
Cindy E. Hmelo-Silver ◽  
...  
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Student Attitudes ◽  
Knowledge Building ◽  
Classroom Interaction ◽  
Network Visualization ◽  
Visualization Tool ◽  
Content Type ◽  
Remote Learning

Purpose The authors explored shifts in social interactions, content engagement and history learning as students who were studying one pandemic simultaneously experienced another. This paper aims to understand how the Net.Create network visualization tool would support students as they tried to understand the many complex interactions in a historical text in a remote learning environment and how sustained knowledge building using Net.Create would shape student attitudes toward remote learning, collaboration and engagement. Design/methodology/approach This paper explores changes in engagement and learning in a survey-level history course on the black death after a shift to remote learning during the COVID-19 pandemic. The authors used activity theory to focus the adaptation of Net.Create, a web-based collaborative social-network-analysis tool and to understand how it supported group-based remote learning. The authors describe how the redesigned activities sustained engagement with historical content and report coded student network entries, reading responses and surveys to illustrate changes in engagement and learning. Findings The results suggest that students benefit from personal connections to historical content and their peers. Net.Create supported both through collaborative knowledge-building activities and reflection on how their quarantine experiences compared to the historical content they read. It is possible to avoid student frustrations with traditional “group work” even in a remote environment by supporting collaborative learning using Net.Create and a mix of individual and group contributions. Originality/value This is the first use of a collaborative network visualization tool to support large classroom interaction and engagement with history content at the undergraduate level.

Designing Semantic Substrates for Visual Network Exploration

2007 ◽  
Vol 6 (4) ◽  
pp. 281-300 ◽  
Author(s):  
Aleks Aris ◽  
Ben Shneiderman
Keyword(s):  
Food Webs ◽  
Case Studies ◽  
Data Exploration ◽  
Network Visualization ◽  
Network Data ◽  
Visualization Tool ◽  
Domain Experts ◽  
Placement Method ◽  
Node Attributes ◽  
Visual Network

A semantic substrate is a spatial template for a network, where nodes are grouped into regions and laid out within each region according to one or more node attributes. This paper shows how users can be given control in designing their own substrates and how this ability leads to a different approach to network data exploration. Users can create a semantic substrate, enter their data, get feedback from domain experts, edit the semantic substrate, and iteratively continue this procedure until the domain experts are satisfied with the insights they have gained. We illustrate this process in two case studies with domain experts working with legal precedents and food webs. Guidelines for designing substrates are provided, including how to locate, size, and align regions in a substrate, which attributes to choose for grouping nodes into regions, how to select placement methods and which attributes to set as parameters of the selected placement method. Throughout the paper, examples are illustrated with NVSS 2.0, the network visualization tool developed to explore the semantic substrate idea.

Building Network Visualization Tools to Facilitate Metacognition in Complex Analysis

Leonardo ◽  
2011 ◽  
Vol 44 (3) ◽  
pp. 248-249
Author(s):  
Barbara Mirel
Keyword(s):  
Complex Analysis ◽  
Tool Design ◽  
Network Visualization ◽  
Visualization Tool ◽  
Complex Tasks ◽  
Interactive Network ◽  
Visualization Tools

If whole communities of domain analysts are to be able to use interactive network visualization tools productively and efficiently, tool design needs to adequately support the metacognition implicit in complex visual analytic tasks. Metacognition for such exploratory network-mediated tasks applies across disciplines. This essay presents metacognitive demands inherent in complex tasks aimed at uncovering relevant relationships for hypothesizing purposes and proposes network visualization tool designs that can support these metacognitive demands.

scholarly journals Hive Panel Explorer: an interactive network visualization tool

2020 ◽  
Author(s):  
Sarah E I Perez ◽  
Aria S Hahn ◽  
Martin Krzywinski ◽  
Steven J Hallam
Keyword(s):  
Data Driven ◽  
Supplementary Information ◽  
Network Visualization ◽  
Visualization Tool ◽  
Rule Based ◽  
Software Application ◽  
Interactive Network ◽  
Dynamics And Function ◽  
Multiple Network ◽  
And Function

Abstract Motivation Networks are used to relate topological structure to system dynamics and function, particularly in ecology systems biology. Network analysis is often guided or complemented by data-driven visualization. Hive one of many network visualizations, distinguish themselves as providing a general, consistent and coherent rule-based representation to motivate hypothesis development and testing. Results Here, we present HyPE, Hive Panel Explorer, a software application that creates a panel of interactive hive plots. HyPE enables network exploration based on user-driven layout rules and parameter combinations for simultaneous of multiple network views. We demonstrate HyPE’s features by exploring a microbial co-occurrence network constructed from forest soil microbiomes. Availability and implementation HyPE is available under the GNU license: https://github.com/hallamlab/HivePanelExplorer. Supplementary information Supplementary data are available at Bioinformatics online.

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