Special Topics of Social Informatics
- equipping students with tools to transform ideas and apply theories to practice, using modern (“digital”) research methods and tools of social informatics
- Applies modern social research methods and models to study behavior, decision making and social phenomena using tools of social informatics
- Formulates goals and research questions to observational and experimental studies using tools of social informatics
- Creates research proposals describing possible application of modern research methods and tools of social informatics to the areas of choice, presents and discusses it
- Introduction to the course. Digital research design. Statistics, Experiment, SimulationBig data and social research at the digital age. Modern approaches to social research. Research Designs. Social Informatics and its research and applied problematics. Statistical inference as a foundation of scientific decisions. Biases. Errors. Paradoxes of statistical decisions. Inferential and predictive models. Inference based on observation and experimental data. Causality. Simulation.
- Observing Behavior using Digital DataTypes and sources of digital data. Social media and applications as data sources. Validity issues. Survey data. Limitations of behavioural data.
- Research Questions and Methods. ExperimentsGoal – RQ mapping for digital research. Match between questions and methods. Observational vs Experimental data. Experimental and Quasi-experimental settings. Crowdsourcing.
- Human Computation & Citizen ScienceDesign for science. Crowdsourcing for human computation. Citizen science and distributed work.
- Modern statistical inferenceApproaches to statistical inference and decision making. Multiple comparison problem and researcher degrees of freedom. Replication. Pre-registration and open science. This topic is studied in online format using MOOC “Improving your statistical inferences” https://www.coursera.org/learn/statistical-inferences (weeks 1-4 of the MOOC).
- Digital Research DesignsCombining digital and traditional data: a holistic approach to understand human behaviour. Social informatics tools in DRD. Course conclusion
- Preparation for Seminars and in-class Participation
- Research Design ProposalIf the task or part of the task with separate deadline was submitted up to an hour after the deadline, the score for it is reduced by 10%, up to 6 hours - by 30%, up to 24 hours – by 60%, after that the task or its part is not accepted resulting in 0 grade.
- Peer Review of Research Design Presentation
- Online Course Tests
- Interim assessment (1 module)0.15 * Online Course Tests + 0.1 * Peer Review of Research Design Presentation + 0.35 * Preparation for Seminars and in-class Participation + 0.2 * Research Design Proposal + 0.2 * Test
- Manzo, G. (2014). Analytical Sociology : Actions and Networks. Hoboken: Wiley. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsebk&AN=714658
- Chen, S.-H. (2018). Big Data in Computational Social Science and Humanities. Cham, Switzerland: Springer. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsebk&AN=1944799
- Eric Silverman. (2018). Methodological Investigations in Agent-Based Modelling: With Applications for the Social Sciences. Web server without geographic relation, Web server without geographic relation (org): Springer. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsbas&AN=edsbas.36B944A9