2025

H. Balaka, M. Vaudel, and L. Garrison, "The MoBa GWAS Explorer: Designing Approachable Visualizations of GWAS Data for a Mixed Audience," in Proceedings of VAHC workshop at IEEE VIS, 2025.

[Bibtex]

@inproceedings{balaka2025mobaexplorer,
title = {The MoBa GWAS Explorer: Designing Approachable Visualizations of GWAS Data for a Mixed Audience},
author = {Balaka, Hanna and Vaudel, Marc and Garrison, Laura},
booktitle = {Proceedings of VAHC workshop at IEEE VIS},
year = {2025},
numpages = {7},
abstract = {Public health studies generate extensive datasets providing important insights into human health. The Norwegian Mother, Father, and Child Cohort Study (MoBa) is a longitudinal cohort study capturing information on pregnancy and early childhood. This information helps uncover the genetic underpinnings of traits or diseases drawing interest from researchers in public health. Non-experts are also attracted to the study, both to understand their contributions as data donors and relevant health determinants. However, the complexity of MoBa data hinders its exploration, analysis, and dissemination. We present a design study exploring the needs and uses of the MoBa dataset in a mixed-user context and introducing the MoBa GWAS Explorer, a web-based visual tool for exploration and analysis of MoBa data by a mixed audience. This tool supports experts in exploring and analyzing MoBa data interactively. Though designed primarily for researchers, we explored the potential for onboarding strategies to make this tool more approachable for non-experts. We conducted a qualitative study with both user groups to evaluate their experience with the tool and its usability. Our evaluation indicates that the application, along with the integrated onboarding, has potential to serve both expert and non-expert groups. Supplementary materials for this study are available at https://osf.io/k5bvj/.},
pdf = {pdfs/balaka2025mobaexplorer.pdf},
thumbnails = {images/balaka2025mobaexplorer_thumb.png},
images = {images/balaka2025mobaexplorer.png},
git = {https://osf.io/k5bvj/},
}

2023

H. Balaka, L. A. Garrison, R. Valen, and M. Vaudel, MoBa Explorer: Enabling the navigation of data from the Norwegian Mother, Father, and Child cohort study (MoBa)The Eurographics Association, 2023. Poster presented at VCBM 2023.

[Bibtex]

@MISC {balaka2023MoBaExplorer,
booktitle = {Eurographics Workshop on Visual Computing for Biology and Medicine (Posters)},
editor = {Garrison, Laura and Linares, Mathieu},
title = {{MoBa Explorer: Enabling the navigation of data from the Norwegian Mother, Father, and Child cohort study (MoBa)}},
author = {Balaka, Hanna and Garrison, Laura A. and Valen, Ragnhild and Vaudel, Marc},
year = {2023},
howpublished = {Poster presented at VCBM 2023.},
publisher = {The Eurographics Association},
abstract = {Studies in public health have generated large amounts of data helping researchers to better understand human diseases and improve patient care. The Norwegian Mother, Father and Child Cohort Study (MoBa) has collected information about pregnancy
and childhood to better understand this crucial time of life. However, the volume of the data and its sensitive nature make its
dissemination and examination challenging. We present a work-in-progress design study and accompanying web application,
the MoBa Explorer, which presents aggregated MoBa study data genotypes and phenotypes. Our research explores how to
serve two distinct purposes in one application: (1) allow researchers to interactively explore MoBa data to identify variables of
interest for further study and (2) provide MoBa study details to an interested general public.},
pdf = {pdfs/balaka2023MoBaExplorer.pdf},
images = {images/balaka2023MoBaExplorer.png},
thumbnails = {images/balaka2023MoBaExplorer-thumb.png},
project = {VIDI}
}