Leveraging Big Data Analytics for Societal Benefits

Accelerated technological change has been implicated as the major cause for societal and cultural transformations. The data deluge we are witnessing today presents yet another opportunity in this context. The billions of e-mails, millions of blogs, multimedia uploads, chatter on the social networks, sensor data from hours of surveillance videos, tapping of conversations and tracking of movements is yielding data at a very high velocity with greater variety and veracity. Large corporations as well as government agencies have access to these unprecedented and ever-increasing masses of data. Ensuring that the data is used for societal benefits instead of to its detriment, therefore, remains a challenge. From a business perspective, the paramount question of importance is: ‘How can we monetize this opportunity with Big Data? Applications, approaches, models, architectures, systems and practices are needed to effectively harness the power of big data analytics. These solutions may take the form of computational models as well as human-computer partnerships to unlock the positive potential of these data stores and streams from a consumer, business and governance perspectives. For example, new systems can benefit from computational techniques to support decisions in real-time, provide policy implications, generate novel correlations that can benefit society and allow individuals access to historical and predictive models that can enrich lives. Application areas where these outcomes can play out include healthcare, big pharma, extreme events, information assurance, energy, sustainability and several others. As we move into these, somewhat non-traditional domains for the IS community, we should also see reconfigurations and repurposing of IT investments that can point to new claims for realizing benefits from these IT investments. Traditional areas such designing IT artifacts, Systems Design and Ontologies for Big Data become increasingly relevant in this new world order. The 2013 WITS is designed to provide researchers a forum to discuss all of these – computational models and methods, empirical analyses of applications, as well as challenges related to economics and policy related to leveraging big data for societal benefits. We look forward to novel approaches and research outcomes that contribute to the base of knowledge related to the design of IT artifacts, particularly in the context of big data analytics, in tomorrow’s world. In addition to topics relating to ‘big dada’, topics that are a traditional part of the WITS workshop, are actively solicited. Papers describing novel research ideas that may be at a relatively early stage of development are also welcome. Research topics of interest include, but are not limited to the following:

Big Data infrastructure and models IT Infrastructure
Big Data Monetization and Applications Knowledge Management Technologies
Collaboration and Negotiation systems Multi-Media Computing
Conceptual Modeling Ontology-Driven Information Systems
Database and Information Integration Recommender Systems
Data, Text and Web Mining Search Engine design and Optimization
Data Warehousing and OLAP Semantic Web
Web 2.0 and Social Networking Applications Social Analytics
Distributed Computing Systems Analysis and Design
Economics of IT Investments System Optimization
Information Quality Wireless Technologies
Information Systems Security and Privacy Workflow Management Systems
Intelligent Agent-based Systems Intelligent Systems and Technologies

  • 23rd Workshop on Information Technology and Systems

    Milan, Italy ·

    14th-15th Dec 2013 ·

    Register Here 

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