||The Industrial Engineering Research Unit of the Athens Institute for Education and Research (ATINER) is organizing A Forum on “Big Data in Professional Practice: Challenges, Solutions and Future Prospects” as part of the 5th Annual International Conference on Industrial, Systems and Design Engineering, 19-22 June 2017, Athens, Greece sponsored by the Athens Journal of Technology & Engineering.
Professional practice within all industries is increasingly influenced by intense data-centric occurrences. Big Data developments are impacting on the ways of doing and of knowing, as well as on the negotiation of value and on ethical considerations in all aspects of work. The enormous amount of information generated by and about netizens, online service providers and retailers, online shoppers, subscribers and consumers constitutes Big Data – which has to be categorized, analyzed and processed, in order for substantial inferences and predictions to be derived that will subsequently shape decisions, investment, production and output.
Continuously expanding Big Data as well as the computing and quantifying data-driven methods associated with its collection and examination bear explicit resonance in comprehending the evolution of all aspects of professional practice in relation to technological progress. It is has become vital to fully understand why and how large-scale datasets are collected, analyzed and interpreted to make sense of how value is created with such data and of the related challenges that emerge in professional practice.
The prevalence and significance of Big Data in professional practice is clearly recognized by all industries, especially in terms of how they predict that it will substantially transform ways of working. But although industries may be well aware of the future challenges that will emerge from the interaction with Big Data, how well prepared is professional practice to adequately deal with it?
While Big Data may still be considered as an emerging phenomenon, its influence and impact on professional practice in practically all industries and countries have made it highly significant for academic research. As a cross cutting topic, Big Data is potentially connectable to a wide a variety of established topics across practically all disciplines and research areas such as:
Business & Marketing
Communication & Media
Information & Communication Technology
Weather Risk Management
Keywords: “Algorithmic Culture”, “Artificial Intelligence”, “Automated Journalism”, “Big Data”, “Big Data Analyzing Technologies”, “Big Data Analytics”, “Big Data Logistics”, “Business Intelligence”, “Computational Journalism”, “Content Amplification”, “Cyber Forensics”, “Cyber Physical Systems”, “Datafication”, “Data Anonymization”, “Data Deluge”, “Data Extraction”, “Data Literacy”, “Data Management”, “Data Mining”, “Data Modeling”, “Data Processing”, “Data Pruning”, “Data Sourcing”, “Data Storytelling”, “Data Veracity”, “Learning Management Systems”, “MOOCs”, “Omniscient Systems”, “Online Learning”, “Open Datasets”, “Performance Analytics”, “Programmatic Buying”, “Real-Time Monitoring”, “Sensors Networks”, “Social Learning Analytics”, “Social Media Analytics”, “Social Media Listening”, “Social Media Networks”.
You may participate as presenter of one paper, chair a session or observer.
Fee structure information is available on http://www.atiner.gr/fees.
Special arrangements will be made with a local hotel for a limited number of rooms at a special conference rate. In addition, a number of special events will be organized: A Greek night of entertainment with dinner, a special one-day cruise to selected Greek islands, an archaeological tour of Athens and a one-day visit to Delphi.