DMiP-2017, In conjunction with the IEEE International Conference on Data Mining (ICDM 2017)

18 November 2017

New Orleans, USA

http://dmip.thomsonreuters.com/

Political analysis is one of the oldest and most public applications of statistics. Over the last decade, our ability to collect and handle larger and richer data sets has meaningfully improved the ability of political consultants to monitor and understand public opinion, forecast results, formulate political strategies, and guide decision-making in real-time. Aside from traditional opinion polling, practitioners can now make use of data from online social networks, search engines, internet enabled devices (Internet of Things), online polls, census, voter records and party registrations, campaign donations, and interactions with campaign marketing efforts.


There have been many attempts to utilize data mining algorithms and tools in advertising, financial services, medical applications and others, but rigorous discussion of Big Data techniques in politics have tended to be closely guarded. This workshop aims at bringing together researchers from interdisciplinary areas and strengthen collaboration between political professionals and the data mining communities in understanding the contemporary use of Big Data techniques in political campaigning. We encourage a useful exchange of ideas, techniques, and datasets between researchers, political practitioners, social entrepreneurs, and corporate representatives through the workshop.

Topics of Interest

Our workshop will solicit contributions on all topics related to employing machine learning, data mining, or data cleaning approaches in political use cases, focused (but not limited) to the following list:

Political dataset collection, dimensionality reduction, cleaning, and processing
Automated or assisted fact-checking of news articles and political speech, and identification of “fake news"
Applications of Big Data analytics to election campaigns
Sentiment analysis to predict political opinions
Social network analysis as a tool for political influence and prediction
Data-oriented innovations in politics
Case studies of data mining tools for politics
Data-driven approaches to monitoring and fighting terrorist networks

Types of Contributions:

We welcome two different types of publications: regular research papers and application abstract papers. The page limit for all papers is 6 pages in the standard IEEE 2-column format.



All papers must be formatted according to the IEEE Computer Society proceedings manuscript style, following IEEE ICDM 2017 submission guidelines available at http://icdm2017.bigke.org/. Papers should be submitted in PDF format, electronically, using the CyberChair submission system at: https://wi-lab.com/cyberchair/2017/icdm17/scripts/submit.php?subarea=SP32&undisplay_detail=1&wh=/cyberchair/2017/icdm17/scripts/ws_submit.php

Accepted papers will be included in the IEEE ICDM 2017 Workshops Proceedings volume published by IEEE Computer Society Press, and will also be included in the IEEE Xplore Digital Library. The workshop proceedings will be in a CD separated from the CD of the main conference. The CD is produced by IEEE Conference Publishing Services (CPS).

Important Dates:

Paper Submission Due: August 7, 2017
Acceptance Notification: September 7, 2017



Contact

For general questions regarding the workshop, send an email to Khaled.ammar@thomsonreuters.com