Virtual Workshop on the Future of Digital Biomarkers, MobiSys 2021, 24-25 June 2021
The Workshop on the Future of Digital Biomarkers, held virtually in conjunction with ACM MobiSys, will offer a unified forum that brings academics, industry researchers and medical practitioners together to explore the role of existing and future mobile technology for modeling, testing, and validating new digital biomarkers. The workshop aims to facilitate a systematic discussion among experts from different knowledge domains including mobile sensing, systems, machine learning, medicine, and health sciences.
The workshop aims to (i) identify new digital biomarkers for capturing different physiological and behavioral health conditions and diseases, (ii) identify the key shortcomings of the existing research in terms of scalability, customizability, and sensing affordances, (iii) find realistic solutions by leveraging sensor data from a variety of mobile systems (e.g., smartphones, wearables, and IoT devices), (iv) identify key methodologies for validation and testing of the new biomarker evidence engine.
The Role of Science Policy in Developing Digital Biomarkers
Wendy Nilsen: Acting Deputy Division Director Information and Intelligent Systems, Computer & Information Science & Engineering Directorate, National Science Foundation
Digital biomarkers and social media
Munmun De Choudhury: Associate Professor, School of Interactive Computing, Georgia Institute of Technology
Call for Papers
Topics of interest (NOT an exhaustive list)
- Predicting the incidence of disease, health conditions, effects of treatments, and interventions
- with digital biomarkers.
- Design and implementation of mobile phone, wearable and/or novel embedded systems based computational
- Integration of multimodal data from different sensor streams for digital biomarker modeling.
- Using existing IoT infrastructure for new digital biomarker modeling.
- Improved data collection, labeling, testing and validation methodologies for digital biomarker
- Novel signal processing or machine learning techniques for digital biomarker modeling.
- Developing robust biomarker models that can handle data sparsity and mis-labeling issues.
- Energy and resource efficient implementation of biomarker models (e.g, Neural architecture
- search, knowledge distillation).
- Designing privacy-aware systems for digital biomarkers.
- Designing and implementing data feedback and visualization for both participants and caregivers.
- Development of smartphone based automated health interventions with digital biomarkers
Submission deadline: 15 May 2021
Notification deadline: 1 June 2021
Camera-ready workshop papers due: 15 June 2021
Workshop Dates: 24-25 June 2021
More details online at:
Future of Digital Biomarkers Workshop