*****  To join INSNA, visit http://www.insna.org  *****

AAAI 2015 Spring Symposium on 
Socio-technical Behavior Mining: From Data to Decisions

March 23-25, 2015, Palo Alto, California.

http://www.aaai.org/Symposia/Spring/sss15symposia.php#ss06
===========================================================

Information is extremely critical for efficient decision-making, whether it is for business processes, policy design, or complex military operations confronting a broad spectrum of conflict and human security. However, more information does not always imply more effectiveness. With the advances in ICTs, especially the participatory media (or, social media), information analysts find themselves inundated with data, or rather the “big data”. To put things in perspective, a conservative estimate suggests that 2.5 billion gigabytes of data was created every day in 2012, of which 68% was the user generated content or data from social media sites, with no signs of slowing down, in fact doubling up every month. The prevalence of the social media and smart handheld devices has irreversibly transformed our communication, interaction, and information sharing styles, giving rise to novel socio-technical behaviors (e.g., “hacktivism”, crowdsourcing, self-organization, flash mobs, citizen journalism, “live-tweeting” or “tweetcasting”, etc.). Efficient data analysis techniques are needed to understand and model emerging socio-technical behaviors.

Existing studies provide limited understanding of these behaviors. A fundamental and systematic investigation of social media platforms is a precursor to conduct studies at a more foundational level filling this critical research gap. Through this symposium, we intend to create a collaborative and interdisciplinary platform bringing researchers and practitioners from various disciplinary backgrounds, including (but not limited to), computational and information science, social science, cognitive science, mathematics, statistics, economics, among others to share, exchange, learn, and develop preliminary models, new concepts, ideas, principles, and methodologies, aiming to advance the understanding and the current state of research in the socio-technical behavior mining. The outcome of the symposium would serve as a collection of resources that can be used by researchers contributing to a continuous and synergistic advancement of the various disciplines.

Topics of key interest include, but not limited to,

Fundamental/Theoretical contributions to
- Social science informed data mining algorithms
- Group dynamics
- Social processes 
- Collective actions and manifestations (e.g., campaigns, flash mobs, movements, etc.)

Data Processing and Analytics
- Rumor (“misinformation” and/or “disinformation”) detection 	
- Data provenance and trust 
- Spam (e.g., Twitter bot) detection

Application Domains
- Social-cyber systems (crowdsourcing, crowdfunding, etc.)
- Cybersecurity
- Smart health
- Government 2.0
- Crisis management
- Conflict monitoring

Key Dates
==========
Paper submission: October 15, 2014 (11:59PM PST)
Notification: November 7, 2014
Camera ready due: December 5, 2014 (11:59PM PST)

Submission Information
=======================
Submissions should be in the form of a full paper of up to 6 pages, or an extended abstract of up to 4 pages in PDF format. All submissions should be made in AAAI format (http://www.aaai.org/Publications/Author/author.php). Submissions should be made via the EasyChair site below; no email submissions will be accepted. Submissions should not be anonymized, and the author names and affiliations should be displayed on the first page. 
Submission site: https://easychair.org/conferences/?conf=aaaisbm2015

Organizing Committee
=====================
Nitin Agarwal, University of Arkansas at Little Rock, [log in to unmask] 
Huan Liu, Arizona State University, [log in to unmask]
Laurie Fenstermacher, U.S. Air Force Research Lab, [log in to unmask] 

For More Information, please consult the supplemental symposium website at http://ualr.edu/nxagarwal/AAAI-Sp15/. 

_____________________________________________________________________
SOCNET is a service of INSNA, the professional association for social
network researchers (http://www.insna.org). To unsubscribe, send
an email message to [log in to unmask] containing the line
UNSUBSCRIBE SOCNET in the body of the message.