Call for papers: Workshop on Digital Biomarkers to be co-located with MobiSys

A call for papers has been announced for the first Workshop on Digital Biomarkers, which will be co-located with MobiSys 2017. The workshop offers a unified forum designed to bring academics, industry researchers and medical practitioners together. The organizers seek novel, innovative and exciting submissions that are broadly related to the modeling, testing, and validation of new digital biomarkers for predicting incidence of diseases, health conditions, effects of treatments, and interventions.

The workshop aims to facilitate a systematic discussion among experts from different knowledge domains including mobile sensing, systems, machine learning, medicine and health sciences in order to:

  • Identify new digital biomarkers capturing behavioral health, chronic and degenerative diseases
  • Identify the key shortcomings of the existing mobile and wearable sensor systems, and research study software platforms (e.g., ResearchKit and ResearchStack) for digital biomarker inference in terms of scalability, customizability, and sensing affordances
  • Find realistic solutions towards building new digital biomarker evidence engine leveraging sensor data from a variety of mobile systems (e.g., smartphones, wearables, IoT devices, or any novel sensor systems)
  • Identify key data collection, labeling, testing and validation methodologies of the new biomarker evidence engine. 

The submission deadline is April 20. The workshop is tentatively scheduled for June 23. 

The workshop organizers are Deborah Estrin and J.P. Pollak of Cornell Tech and Tauhidur Rahman of Cornell University. 

Topics of interest include: 

  • Novel digital biomarkers for behavioral, chronic and degenerative disease modeling
  • Novel mobile sensor or sensing systems for new biomarker evidence engine
  • Novel signal processing or machine learning techniques for new biomarker evidence engine
  • Using existing IoT infrastructure for new biomarker evidence engine
  • Energy and resource efficient implementation of biomarker models
  • Validation methodologies for new biomarker evidence engine
  • Data privacy and security for biomarker evidence engine
  • Data visualization of digital biomarkers
  • Health Intervention design with digital biomarkers

Anyone with questions may contact Rahman (tr266 @ cornell.edu), Estrin (destrin @ cs.cornell.edu), or Pollak (jpp9 @ cornell.edu).