![]() Recipient List AFWA-Lotus Yee Cheigh-K.J. Continuing Part-Time MBA and Master of Accounting.Director's Circle – School of Travel Industry Management.Director's Circle – School of Accountancy.Shidler College of Business Alumni Association.Asian Field Study - Student Information. ![]() in Travel Industry Management: Graduation Check Application for Graduation: Undergraduate.Hawaiʻi International Conference on System Sciences. ![]() Pacific Asian Management Institute (PAMI).Pacific Asian Center for Entrepreneurship (PACE).Military - Find the Right Program For you.Graduate Certificate in Entrepreneurship.Master of Science in Travel Industry Management.Humanities Integrated Program with Social Sciences.Submissions that focus on purely descriptive statistics or apply standard techniques to mainstream datasets are unlikely to be considered for publication. Papers submitted to this journal should not only strive to improve on existing data science methodologies but must provide new insight into human or social behavior or systems, in the areas outlined above. Methodologically, EPJ Data Science welcomes approaches from a broad range of disciplines, spanning statistically rigorous analysis of data, social network analysis, complex systems, applied machine learning, and more. Application domains include, but are not limited to, social interaction (including animal societies), economic and financial systems, management and business networks, socio-technical infrastructure, health and environmental systems, the science of science, as well as general risk and crisis scenario forecasting up to and including policy advice. Specifically, the focus of the journal is on analyzing and synthesizing massive data sets to achieve new insights into societal phenomena and behavior. This (r)evolution accompanying the paradigm shift from reductionism to complex systems sciences has already transformed the natural sciences and is about to bring the same changes to the techno-socio-economic sciences, viewed broadly.ĮPJ Data Science offers a publication platform to showcase the latest contributions to the study of techno-socio-economic systems, wherein “digital traces” of human activity are used as first-order objects for the investigation. The 21st century is witnessing the establishment of data-driven science as a complementary approach to the traditional hypothesis-driven method. Scientific Networks and Success in ScienceĮdited by: Giovanni Luca Ciampaglia, Emilio Ferrara, Alessandro Flammini Making Big Data work: Smart, Sustainable, and Safe CitiesĮdited by: Fabrizio Antonelli, Bruno Lepri, Alex 'Sandy' Pentland, Fabio Pianesi Individual and Collective Human Mobility: Description, Modelling, PredictionĮdited by: Filippo Simini, Gourab Ghoshal, Luca Pappalardo, Michael Szell, Philipp HövelĪdvances in data-driven computational social sciencesĮdited by: Fosca Giannotti, Santo Fortunato, Michael Macy Integrating Survey and Non-survey Data to Measure Behavior and Public OpinionĮdited by: Antje Kirchner, Trent Buskirk, Ingmar Weber, Nan Zhang The Past, Present, and Future of Computational Social ScienceĮdited by: Termeh Shafie, Christoph Stadtfeldĭata Science perspectives on Economic CrimeĮdited by: Johannes Wachs, Janos Kertesz, Mihaly Fazekas, Elizabeth David-Barrett DeVerna, Kai-Cheng Yang, Jeremy Blackburn, Ugur Kursuncu ![]() Call for papers: Computational Approaches for Cyber Social ThreatsĮdited by: Francesco Pierri, Matthew R.
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