Fwd: [ML-news] [KDD 2019] Call for Applied Data Science Papers

[Artur Dubrawski]

This is potentially a good outlet for some of our work that has a strong
application context.
Please let me know if you'd like to submit something.

Artur

---------- Forwarded message ---------
From: Ping Zhang <mail.pingzhang at gmail.com>
Date: Sun, Jan 6, 2019 at 9:53 PM
Subject: [ML-news] [KDD 2019] Call for Applied Data Science Papers
To: Machine Learning News <ml-news at googlegroups.com>


=====================================
KDD 2019 Call for Applied Data Science Papers
=====================================

Details in
https://www.kdd.org/kdd2019/calls/view/kdd-2019-call-for-applied-data-science-papers
Website for submissions: https://easychair.org/conferences/?conf=kdd19 .

**************
Key Dates
**************
Submission: February 3, 2019
Notification: Apr 28, 2019
Camera-ready: May 17, 2019
Short Promotional Video of Accepted Papers (Required): June 2, 2019
Source Code (Optional): June 2, 2019
Conference (Anchorage, Alaska): August 3 to August 7, 2019
All deadlines are at 11:59PM Alofi Time. There will be absolutely no
exception to these deadlines.

**************
Description
**************
We solicit submissions of papers describing designs and implementations of
solutions and systems for practical tasks in data mining, data analytics,
data science, and applied machine learning. The primary emphasis is on
papers that either solve or advance the understanding of issues related to
deploying data science technologies in the real world.

Submitted papers will go through a peer review process.

The Applied Data Science Track is distinct from the Research Track in that
submissions focus on applied work addressing real-world problems and
systems demonstrating tangible impact/value in their respective domains
(eg. industries, government initiatives, social programs).

Submissions must clearly identify the category they fall into:: “deployed”
or “evidential. The ADS Chairs might shift a submission from one category
to another, if they find that the submission is misplaced. The criteria for
submissions in each category are as follows:

CATEGORY Deployed : Must describe implementation of a system that solves a
significant real-world problem and is (or was) in production use for an
extended period of time. The paper should present the problem, its
significance to the application domain, the decisions and tradeoffs made
when making design choices for the solution, the deployment challenges, and
the lessons learned from successes and failures . Evidence must be provided
that the solution has been deployed by quantifying post-launch performance.
Papers that describe enabling infrastructure for large-scale deployment of
applied machine learning also fall in this category. An example might be a
deployed system that collects heartbeat audio from mobile phones during a
marathon race and uses machine learning to identify potentially irregular
signals and to alert support personnel.

Examples from past KDD conferences:

HinDroid: An Intelligent Android Malware Detection System Based on
Structured Heterogeneous Information Network
Cascade Ranking for Operational E-commerce Search
CATEGORY Evidential : Must describe fundamental insights derived from
addressing a significant real-world problem, even though a system has not
been deployed. This might include papers providing significant gains in the
understanding of a applied area/domain (for example, involving data or
system deployment needs) or even papers where a conclusion has been reached
that the problem is unsolvable. In addition to insights the paper must
explain what milestones were reached, what the practical impact is, and (if
applicable) what the obstacles to deployment are. Straightforward
improvements over trivial baseline solutions are unlikely to qualify.
Continuing the example above, a paper in this category might present a
system that achieves reasonable error rates in an experiment with many
volunteers but suffers from interferences among mobiles that are located
very close to each other.

Examples from past KDD conferences:

DeepSD: Generating High Resolution Climate Change Projections through
Single Image Super-Resolution
A Dirty Dozen: Twelve Common Metric Interpretation Pitfalls in Online
Controlled Experiments Backpage and Bitcoin: Uncovering Human Traffickers
TFX: A TensorFlow-Based Production-Scale Machine Learning Platform
Automated Categorization of Onion Sites for Analyzing the Darkweb Ecosystem
Please consult the guidelines for authors here.

Submission topics include but are not limited to:

Target application area—Business

Advertising and E-commerce
Finance
Marketing
Markets and Crowds
Recommender systems
Target application area—Life Sciences

Bioinformatics
Clinical Decision Support
Clinical Research
Healthcare and Caregiving
mHealth
Patient Empowerment
Target application area—Social and Network Sciences

Crowdsourcing
Network sciences
Social good
Social media and publishing
Social sciences
User modeling
Web mining
Target application area—Facilitating the Learning Process

Big Data infrastructures
Cloud, Map-Reduce, MPI
Data protection
Design of experiments
Interpretable models
Large-scale optimization
Scalable algorithms
Further target application areas

Education
Mobile and Sensor devices
Security
Transportation

****************************
Submission directions
****************************
KDD is a dual track conference hosting both a Research track and an Applied
Data Science track. Due to the large number of submissions, papers
submitted to the Research track will not be considered for publication in
the Applied Data Science track and vice versa. Authors are encouraged to
read the track descriptions carefully and to choose an appropriate track
for their submissions.

Following KDD conference tradition, reviews are not double-blind, and
author names and affiliations should be listed. Submissions are limited to
a total of 9 (nine) pages, including all content and references, and must
be in PDF format and formatted according to the new Standard ACM Conference
Proceedings Template. For LaTeX users: unzip acmart.zip, make, and use
sample-sigconf.tex as a template.

Additional information about formatting and style files is available online
at: https://www.acm.org/publications/proceedings-template. Papers that do
not meet the formatting requirements will be rejected without review.

In addition, authors can provide an optional two (2) page supplement at the
end of their submitted paper (it needs to be in the same PDF file and start
at page 10) focused on reproducibility (see reproducibility section for
more details)*.

Website for submissions: https://easychair.org/conferences/?conf=kdd2019

****************************
Important policies
****************************
Reproducibility
Submitted papers will be assessed based on their novelty, technical
quality, potential impact, insightfulness, depth, clarity, and
reproducibility. Authors are strongly encouraged to make their code and
data publicly available when possible . Algorithms and resources used in a
paper should be described as completely as possible to allow
reproducibility. This includes experimental methodology, empirical
evaluations, and results. The reproducibility factor will play an important
role in the assessment of each submission.

*Important Note: To encourage reproducibility of the results presented in
KDD, only papers that include a supplement (up to two pages as described in
the submission directions) aiming to provide reproducibility-related
information will be considered for the best paper awards. This supplement
can only be used to include (i) information necessary for reproducing the
experimental results, insights, or conclusions reported in the paper (e.g.,
various algorithmic and model parameters and configurations,
hyper-parameter search spaces, details related to dataset filtering and
train/test splits, software versions, detailed hardware configuration,
etc.), and (ii) any implementation, pseudo-code, or proofs that due to
space limitations, could not be included in the main nine-page manuscript,
but that help in reproducibility.

Authorship
Every person named as the author of a paper must have contributed
substantially both to the work described in the paper and to the writing of
the paper. Every listed author must take responsibility for the entire
content of a paper. Persons who do not meet these requirements may be
acknowledged, but should not be listed as authors. Post-submission changes
to the author list are not allowed.

Dual submissions
Submitted papers must describe work that is substantively different from
work that has already been published, or accepted for publication, or
submitted in parallel to other conferences or journals.

However, there are several exceptions to this rule.

Submission is permitted for a shorter version of a paper submitted to a
journal, but not yet published. Authors must declare such dual-submissions
on the submission form and must ensure that the journal in question allows
concurrent submissions to conferences.
Submissions are permitted for papers presented or to be presented at
seminars, conferences or workshops without proceedings.
Submissions are permitted for papers that have previously been made
available only in the form of technical report with no peer reviews, in
particular on arXiv.
Conflicts of interest
During the submission process, enter the email domains of all institutions
with which you have an institutional conflict of interest. You have an
institutional conflict of interest if you are currently employed or have
been employed at this institution in the past three years, or you have
extensively collaborated with this institution within the past three years.
Authors are also required to identify all PC/SPC members with whom they
have a conflict of interest, eg, advisor, student, colleague, or coauthor
in the last five years.

Attendance
For each accepted paper, at least one author must attend the conference and
present the paper. Authors of all accepted papers must prepare a final
version for publication, a poster, and a three-minute short video
presentation.

Copyright
Accepted papers will be published in the conference proceedings by ACM and
also appear in the ACM Digital Library. The rights retained by authors who
transfer copyright to ACM can be found here .

AUTHORS TAKE NOTE: The official publication date is the date the
proceedings are made available in the ACM Digital Library. This date for
KDD 2019 is on or after July 1st, 2019. The official publication date
affects the deadline for any patent filings related to published work.

For any questions, please contact applied2019 at kdd.org

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