2nd International ICDM Workshop on Data Science for Social Media and Risk (SoMeRis 2016)

Страна: Испания

Город: Barcelona

Тезисы до: 12.08.2016

Даты: 12.12.16 — 12.12.16

Область наук: Социологические;

Е-мейл Оргкомитета: https://wi-lab.com/cyberchair/2016/icdm16/scripts/submit.php?subarea=S20&undisplay_detail=1&wh=/cybe

Организаторы: IEEE


The topic of risk assessment deals with methods, quantitative or qualitative, to estimate the risk that is related to a specific task or action. As life becomes increasingly digital, the available social media data - including interactions, time, location and behavior - is constantly increasing, giving rise to quantitative methods from the broad field of data science towards "better" risk assessment. The main goal of the SoMeRis workshop is to act as a venue for research methods and tools on the emerging field of data science and social media analytics for risk assessment and management.
The aim of this workshop is to address state-of-the-art techniques in machine learning, graph and text mining to leverage information available in social media to enrich and improve predictive algorithms for risk assessment and management, such as the insurance sector or the online industry. A (non restrictive) list of topics follows:
Risk management

    Social media for risk assessment in online industry
    Social media for risk in the insurance sector
    The nature of risk in the insurance sector
    Fusion of data sources for risk assessment and management

Social media

    Graph/Text Mining for social media
    Urban social media analysis and risk
    Dynamics of social networks
    Anomaly detection in social media


    Privacy in Social media
    Fraud detection and prevention
    Sharing economics, social networks and peer-to-peer insurance
    Benchmarks for social media mining and risk

The workshop will host two keynote speakers (one from a major insurance company (AXA) and one from academia), several academic and industrial talks as well as a discussion panel on the importance of social media in risk management in the insurance sector. The objective is to create an interface between academics and practitioners, to exchange and create synergies about challenging problems at the crossing of machine learning on social media and industrial applications that involve risk assessment and management. This topic is particularly relevant and unexplored. The exploitation of such sources of information for risk-based businesses is a relatively recent topic. It requires new developments both on the methodological and technological aspects: from new statistical models that describe accurately the dynamics of social media and information diffusion, to the use of APIs and relevant databases to crawl, structure and exploit data from social media. Needless to stress that the dominant structures in this case are the networks enriched with the textual content of user interactions and histories.

The expected added value of this workshop will be:

    The initiation of discussion between academics and practitioners, towards the identification of common grounds and understanding of the risk management on the context of social media for online services.
    The creation of an event bridging social media with the insurance industry – a case were risk management is very important. In this context it is expected that this synergy will develop new approaches for risk management put in the relevant context.

Веб-сайт конференции: http://www.lix.polytechnique.fr/dascim/someris2016/