Connectionists: Call for Participation: #SMM4H'22, 7th Social Media Mining for Health Applications - Shared Task & Workshop at COLING 2022

[Davy Weissenbacher]

Call for Participation: #SMM4H'22, 7th Social Media Mining for Health
Applications - Shared Task & Workshop at COLING 2022

Hybrid: Online / Gyeongju, Republic of Korea
Workshop Date: October 17, 2022
Workshop and Shared task: https://healthlanguageprocessing.org/smm4h-2022/
***Apologies if you received multiple copies of this announcement***

The Social Media Mining for Health Applications (#SMM4H) workshop serves as
a venue for bringing together researchers interested in automatic methods
for the collection, extraction, representation, analysis, and validation of
social media data (e.g., Twitter, Reddit, Facebook) for health informatics.
The 7th #SMM4H Workshop, co-located at COLING 2022 (
https://coling2022.org/index) will present a Keynote speaker, 15 invited
oral presentations, and a poster session demonstrating the competing
systems of the SMM4H'22 shared tasks. The detailed program and description
of the shared tasks can be found online at
https://healthlanguageprocessing.org/smm4h-2022/
<https://healthlanguageprocessing.org>

Keynote speaker: Raul Rodriguez-Esteban, Senior Principal Scientist at
Roche Pharmaceuticals, Switzerland
Abstract: Social media listening for pharmaceutical R&D
Traditionally, social media listening (SML) in the pharmaceutical setting
has been limited to marketing and communication purposes and performed with
manual, qualitative methods. Pharmaceutical companies, with the
encouragement of regulatory agencies, have started utilizing social media
listening to integrate the patient perspective in the clinical development
process to ensure relevant treatments and outcomes. Additionally, there is
a growing acknowledgment that quantitative methods for SML (QSML) can
provide new and more rigorous analyses that enhance the value of social
media data to enable a patient-centric approach to understanding disease
burden and influence drug discovery decisions at all stages. During this
talk, I will present some examples of QSML supporting pharmaceutical R&D.


All questions should be emailed to Davy Weissenbacher (
davy.weissenbacher at cshs.org)
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