2024

K. E. Zhang, M. Vaudel, and L. A. Garrison, The Manhattan Wheel: A Radial Visualization Story for Genome-wide Association Study DataThe Eurographics Association, 2024. Poster presented at VCBM 2024.

[Bibtex]

@MISC{zhang2024ManhattanWheel,
booktitle = {Eurographics Workshop on Visual Computing for Biology and Medicine (Posters)},
title = {{The Manhattan Wheel: A Radial Visualization Story for Genome-wide Association Study Data}},
author = {Zhang, Ke Er and Vaudel, Marc and Garrison, Laura A.},
year = {2024},
howpublished = {Poster presented at VCBM 2024.},
publisher = {The Eurographics Association},
abstract = {Genome-wide association studies (GWAS) are critical to identifying genetic variations associated with a particular trait or disease. It is important to cultivate an awareness of GWAS in the general public as members of this group are key participants of these studies. However, low genetic data literacy and trust in the sharing of genetic data pose challenges to learning and engaging with GWAS concepts. In this design study, we explore design strategies for the public communication of GWAS data. As part of this study, we present an interactive visual prototype that explores the use of narrative structure, linked visualizations through scrollytelling, and plain language to onboard and communicate genetic concepts to a GWAS-naive audience.},
pdf = {pdfs/KEZHANG_VCBM2024_Poster_ManhattanWheel.pdf},
images = {images/zhangManhattanWheel.png},
thumbnails = {images/zhangManhattanWheelthumb.png},
project = {VIDI},
git={https://github.com/amykzhang/manhattan-wheel}
}

K. E. Zhang and J. Jenkinson, "The Visual Science Communication Toolkit: Responding to the Need for Visual Science Communication Training in Undergraduate Life Sciences Education," Education Sciences, vol. 14, iss. 3, p. 296, 2024.

[Bibtex]

@article{zhang2024toolkit,
title={The Visual Science Communication Toolkit: Responding to the Need for Visual Science Communication Training in Undergraduate Life Sciences Education},
author={Zhang, Ke Er and Jenkinson, Jodie},
journal={Education Sciences},
year={2024},
volume={14},
number={3},
pages={296},
publisher={MDPI},
abstract={Visual representations are essential to scientific research and teaching, playing a role in conceptual understanding, knowledge generation, and the communication of discovery and change. Undergraduate students are expected to interpret, use, and create visual representations so they can make their thinking explicit when engaging in discourse with the scientific community. Despite the importance of visualization in the biosciences, students often learn visualization skills in an ad hoc fashion without a clear framework. We used a mixed-methods sequential explanatory study design to explore and assess the pedagogical needs of undergraduate biology students (n = 53), instructors (n = 13), and teaching assistants (n = 8) in visual science communication education. Key themes were identified using inductive grounded theory methods. We found that extrinsic motivations, namely time, financial resources, and grading practices, contribute to a lack of guidance, support, and structure as well as ambiguous expectations and standards perceived by students and instructors. Biology and science visualization instructors cite visual communication assessments as a way of developing and evaluating students’ higher-order thinking skills in addition to their communication competencies. An output of this research, the development of a learning module, the Visual Science Communication Toolkit, is discussed along with design considerations for developing resources for visual science communication education.},
pdf = {pdfs/zhang2024toolkit.pdf},
images = {images/zhang2024toolkit.png},
thumbnails = {images/zhang2024toolkitthumb.png},
issn={2227-7102},
doi={10.3390/educsci14030296},
url={https://www.mdpi.com/2227-7102/14/3/296}
}

2023

K. E. Zhang, S. Saharan, G. McGill, and J. Jenkinson, A Framework for the Design, Production, and Evaluation of Scientific Visualizations, L. Shapiro, Ed., Cham: Springer Nature Switzerland, 2023.

[Bibtex]

@book{zhang2023framework,
title={A Framework for the Design, Production, and Evaluation of Scientific Visualizations},
author={Zhang, Ke Er and Saharan, Shehryar and McGill, Ga{\"e}l and Jenkinson, Jodie},
editor={Shapiro, Leonard},
booktitle={Graphic Medicine, Humanizing Healthcare and Novel Approaches in Anatomical Education},
pages={131--162},
year={2023},
publisher={Springer Nature Switzerland},
address={Cham},
abstract={Visualizations play a critical role in discovering, understanding, interpreting, synthesizing, and communicating scientific knowledge. Effective scientific visualization requires careful attention to a number of factors, in particular, a faithful translation of scientific evidence, understanding of the communication needs of the target audience, and skillful application of visualization design principles. As a result, science visualization projects require a team of contributors with specialized knowledge and technical expertise. Regardless of team size and structure, a clear definition and appreciation of the design process as well as an understanding of the responsibilities of each contributor are imperative to the success of a project. Gaps in understanding often result in conflict between visualizers and stakeholders, compromising the quality of the scientific visualization. Although many companies have developed their own process through trial and error over years of experience, to date, there is no formalized framework for scientific visualization that details the steps of the process and the contributions of each individual. Informed by our examination of case studies, frameworks, and our collective experience as practitioners, we propose a framework tailored to the design, production, and evaluation of scientific visualization that aims to support practitioners in meeting their objectives and facilitating conversations that allow others to better understand the impact of the design process on the final product. We explore underlying drivers of decision-making within the visualization design space, describe the activities and outputs that impact decisions made about the final visualization, and discuss potential applications and limitations of this framework in practice.},
pdf = {pdfs/zhang2023framework.pdf},
images = {images/zhang2023framework.png},
thumbnails = {images/zhang2023frameworkthumb.png},
isbn={978-3-031-39035-7},
doi={10.1007/978-3-031-39035-7_7},
url={https://doi.org/10.1007/978-3-031-39035-7_7}
}