In social science outstanding results are yielded by advanced simulation methods, based on state of the art software technologies and an appropriate combination of qualitative and quantitative methods. This book presents examples of successful applications of modelling and computing in social science: business and logistic process simulation and optimization, deeper knowledge extractions from big data, better understanding and predicting of social behaviour and modelling health and environment changes.
Janez Povh is Professor at the Faculty of Information Studies in Novo mesto, Slovenia. His work is focused on mathematical basics for data technologies and applications of advanced data technologies in big data analysis.
Contents: Biljana Mileva Boshkoska/Nadja Damij: An outline for business process modelling using spreadsheets - Tadej Kanduc/Blaz Rodic: Manufacturing processes optimisation in a furniture factory - Borut Roncevic/Urska Fric: Researching Industrial Symbiosis: Challenges and Dilemmas - Petar Juric/Maja Matetic/Marija Brkic: Game-based Learning and Social Media API in Higher Education - Andrej Kovacic/Nevenka Podgornik: Negatively Biased Media in Slovenia - Andrej Dobrovoljc/Joze Bucar: Measuring security culture of users of online banking - Jana Suklan/Vesna Zabkar: Modelling Synergies between Online and Offline Media - Jernej Agrez/Miroslav Baca/Nadja Damij: An open framework biometric system optimisation - Biljana Mileva Boshkoska: A framework for qualitative evaluation of air pollution levels - Albert Zorko/Zoran Levnajic: The overview of recent findings in diagnostics of mental disorders - Dragana Miljkovic/Kristina Gruden/Nada Lavrac: Improving biological models with experts knowledge and literature.