SAIBS 2015 - 3rd Workshop on Social and Algorithmic Issues In Business Support (SAIBS)

Utilizing social wisdom begins with observation of human behaviour, analysis of artifacts, building paradigms on statistical models and converting them into algorithms. Social trend observed in XXI century networking and business activity has several roots. A base for rapid growth is accessible technology. But the force that drives people to active contribution is an everyday challenge to become recognizable and rich. Crowd creativity is a process of merging efforts and distributed resources in order to produce new quality and new products. Utilizing social energy and productivity gives beginning to new business paradigms, which converted into algorithms may be applied in various domains.
Among a variety of ways how people share their wisdom text resources ? words ? play an important role. Books, articles, reports, subtitles, comments, tables of data, e-mails, passwords and other textual feeds are easy to produce, easy to transfer, relatively easy to translate and very attractive to process and analyze. 3rd SAIBS is a place where we want to discuss methods of knowledge discovery in text, its visualization and commercialization.
An important contribution of social power is software developed and hosted by volunteers and distributed on word-of-mouth recommendation. During the workshop session we want to face social contribution to business processes taking into account possible benefits and risk factors. How far can business relay on social input? What are the limits or what are the areas where introducing crowdsourced parts may increase overall risk value to unacceptable level? What are social benefits gained by mining and aggregating knowledge derived from analysis social artifacts presented in text or other forms in global computer network.
Algorithmic trading (algo trading) practiced on stock markets and Forex trading platforms arises as a new challenge for algorithm designers. This field of knowledge and practice grown from human-eye analysis of text tables collecting series of prices is a good example how far computer algorithms can outperform humans in precision, speed and accuracy. During 3rd SAIBS we would like to face the phenomenon of social trading, compare models of passive income from trading systems based on algorithmic and social recommendation and discuss algo-trading boundaries. Should algorithmic trading become a part of computing science curricula? Finally we are also interested in research works which analyze crowd behaviour collected in text tables or visualized in form of charts.
Aims, scope and Topics:
During 3rd SAIBS Workshop we want to focus on computational and optimization issues that can be supported by crowd input or social intelligence. A separate issue worth to analyze is visualization of data and paradigms collected in databases and large text files. We will try to answer the question how far and on which fields business may benefit from utilizing social contribution. And finally, we will discuss problems how computer systems may understand social behaviour (sometimes named: market) and support humans in making decisions, i.e. in automatic trading.
Topics of the workshop include but are not limited to:
? Translation issues and multi-language data feeds
? Recommender systems based on textual content and comments analysis
? Object comparison, building ranks
? Mining text artifacts to feed recommender systems
? Visualization of text and digital data
? Social and language issues in software specification, design and production
? New face of interactive social games based on text instructions and wordplay
? Software engineering issues
? Cultural and social issues in global software development
? Social sharing and exchange systems
? Crowdsourcing and crowdfounding
? Automatic trading systems
? Optimization algorithms in trade support
? Experimental discovery of market behaviour
? Business models based on mobile applications
? Knowledge commercialization
? Business process improvement