Connectionists: epidamik 4.0 CFP

[Bijaya Adhikari]

Dear colleague,

The 4th epiDAMIK at SIGKDD workshop is a forum to discuss new insights into
how data mining can play a bigger role in epidemiology and public health
research. While the integration of data science methods into epidemiology
has significant potential, it remains under studied. We aim to raise the
profile of this emerging research area of data-driven and computational
epidemiology, and create a venue for presenting state-of-the-art and
in-progress results—in particular, results that would otherwise be
difficult to present at a major data mining conference, including lessons
learnt in the ‘trenches’. The current COVID-19 pandemic has only showcased
the urgency and importance of this area.

Our target audience consists of data mining and machine learning
researchers from both academia and industry who are interested in
epidemiological and public-health applications of their work. Additionally,
we are aiming to attract researchers and practitioners from the areas of
mathematical epidemiology and public health, who are increasingly dealing
with more complex models and novel data sources––these problems bring up
novel challenges from a data science and machine learning perspective.

The past iterations of the workshop were co-located with SIGKDD 2018,
SIGKDD 2019 (also part of ‘health days’), and SIGKDD 2020. These were a
great success with insightful contributed works as well as high-quality
keynotes.

To reflect the broad scope of work, we encourage submissions that span the
spectrum from theoretical analysis, algorithms and implementation, to
applications and empirical studies, from both data mining and public health
viewpoints.Topics of interest include, but are not limited to:

   - Epidemiologically-relevant data collection and curation
   - Advances in modeling, simulation and calibration of disease spread
   models
   - Syndromic surveillance using social media, search and other data
   sources
   - Challenges in model validation against ground truth
   - Outbreak detection and inference
   - Visualization of epidemiological data
   - Planning for public health policy
   - Role of open source data and community in epidemiology
   - Data-driven advances in control and optimization (like immunization)
   - Forecasting disease outcomes including COVID-19 projections
   - Graph mining and network science approaches to epidemiology
   - Crowdsourced methods for detection and forecasting
   - Use of novel datasets for prediction and analysis (including EHR
   records)
   - Genomic analyses related to outbreak science (e.g., phylogenetics)
   - Data mining for hospital acquired infections like C.Diff, MRSA etc.
   - Identifying health behaviors
   - Handling missing and noisy data
   - Disease forecasting challenge (like the CDC Flu Challenge) experiences
   - Interpretable and expert-driven AI for public health
   - Any late-breaking work on the COVID-19 epidemic
   - Experiences of real-time forecasting
   - Infodemic, misinformation, and disinformation

We invite the submission of full regular research papers (6-8 pages) as
well as short, work-in-progress, demo or position papers (2-4 pages). Short
summary versions of recently published major papers (2-4 pages) are also
welcome.

We recommend papers to be formatted according to the standard double-column
ACM Proceedings Style. All papers should contain the name of authors and
their affiliations. Authors whose papers are accepted to the workshop will
have the opportunity to participate in a virtual poster session, and some
may also be chosen for oral presentation. There are no restrictions on
already submitted work or authors simultaneously posting their manuscripts
to any pre-print server. The conference and the workshop will be completely
virtual, with virtual presentations for accepted papers and keynotes. The
accepted papers will be made available online but will not be considered
archival. The authors are free to resubmit the paper to preprint servers
and future conferences and journals.

For paper submission, please proceed to the submission website.
Submission website: https://easychair.org/conferences/?conf=epidamik40
Please send any enquiries to epidamik at gmail.com.

Important Dates
All deadlines are set at 11:59 PM Pacific Daylight Time.

   - Submission site open: April 10, 2021
   - Workshop paper submissions: May 20, 2021
   - Workshop paper notifications: June 10, 2021
   - Camera-ready papers due: July 10, 2020
   - Workshop date: August 14-18, 2021


You can find more information at https://epidamik.github.io/ and follow us
on Twitter @EpidamikW
We look forward to your participation.

Sincerely,
The organizing team:
Bijaya Adhikari (University of Iowa), Rose Yu (UCSD), Amulya Yadav (Penn
State), Ajitesh Srivastava (USC), Sen Pei (Columbia), Sarah Kefayati (IBM),
Alexander Rodriguez (Georgia Tech).
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