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Digital Society Initiative

STAG: Statistical Timeseries Analysis Guide

The STAG initiative is designed to combat the lack of user-friendly features for planning, documenting, and revising pre-processing tasks for multimodal, multivariate, and high-volume time series data. This issue greatly hinders the reproducibility of data analyses and carries a high risk that end users will overlook key insights. 

STAG's comprehensive, interactive, and visual support will guide researchers in the exploration, pre-processing, analysis, interpretation, and reporting of data.  By providing guidance and assistance, STAG will help interested users and DSI stakeholders avoid common pitfalls in time-series processing, generate analysis protocols that are visually interpretable and replicable, and serve as a protocol planning guide. 

STAG is a collaboration between the Interactive Visual Data Analysis (IVDA) Lab, led by Prof. Dr. Jürgen Bernard, the Digital and Mobile Health Group, led by Prof. Dr. Viktor von Wyl, and several interested UZH research groups that have agreed to contribute cases and their domain expertise. This interdisciplinary initiative has great potential for creating replicable, consistent, and valid pipelines for processing, exploring, and analyzing time series data.

 

Project duration: 01.09.2024 – 28.02.2026

Contacts: Prof. Dr. Jürgen Bernard & Prof. Dr. Viktor von Wyl

Website: Implementation of a Sensor Data Analysis Pipeline


Project Team

Ning Wang

Prof. Dr. Jürgen Bernard is an Assistant Professor of Computer Science at the University of Zurich (UZH), Switzerland. He is leading the Interactive Visual Data Analysis (IVDA) Group and is affiliated with the Digital Society Initiative (DSI). He received his PhD Degree in Computer Sciences in 2015, when he was with Fraunhofer IGD. His thesis was about «Exploratory Search in Time-Oriented Primary Data». In 2016, Jürgen Bernard started as a Post-doc researcher at TU Darmstadt at Interactive Graphics Systems Group, leading the Visual-Interactive Machine Learning Group. In 2019, he became a postdoctoral research fellow at the University of British Columba, Vancouver, Canada, where he joined the InfoVis group, led by Professor Tamara Munzner. He is at UZH since 2020.

Davide Scaramuzza

Prof. Dr. Viktor von Wyl holds a PhD in Epidemiology (ETH Zurich, 2008) and a Master’s in Biology (University of Basel, 2002). In his professional life he has worked as a data manager for an HIV cohort in Washington, D.C. (2002–2004) and as an HIV epidemiologist at the University Hospital Zurich (2004–2010) and the University College London (2010–2011, SNF-fellowship). Between 2011 and 2014 he was a Senior Researcher at the CSS-Institute in Luzern, where he worked on end-of-life care (SNF-funded) and risk adjustment. Viktor joined the University of Zurich in October 2014 as the Director of the Swiss Multiple Sclerosis Registry at the Epidemiology, Biostatistics and Prevention Institute (EBPI). In April 2020 he was appointed Assistant Professor of Digital and Mobile Health, with affiliation at the Institute for Implementation Science in Health Care. Since October 2023, he has been a member of the Directorate of the Swiss School of Public Health.