Datafication and digitalisation have revolutionised what we can observe: scholars are increasingly social media data, digital traces, various databases – both quantitative and qualitative. At the same time, the data sets we work on have become increasingly larger, meaning that our traditional data analysis approaches are not sufficient. Furthermore, methodological development is being conducted to… Continue reading Big data, machine learning and data science for social science and humanities – crash course for students and faculty
SICSS Helsinki 2021 post mortem
University of Helsinki hosted a Summer Institute in Computational Social Science, following the one week of instruction and one week of student project work. During the instruction week followed Coding Social Science, the textbook developed by Matti Nelimarkka and discussed research ethics, validity and reliability questions, data science, network analysis, simulation models and interactive systems… Continue reading SICSS Helsinki 2021 post mortem
Improving Qualitative research and Computers
For about one month, I have been organising a self-phased course seeking to help students to use computers in qualitative research. This includes programs such as Atlas.TI, DiscoverText as well as more data science related tools. The course is designed for PhD students at the Faculty of Social Science, with a total enrolment of 46… Continue reading Improving Qualitative research and Computers
Build your data science skills: enrol to the computational social science courses
Are you planning a research project exploring large-scale online datasets? Do you think qualitative research might need to be supplemented with computational text analysis? Do you need new research skills for the era of big data? Centre for Social Data Science organises three courses focused on computational social science, which are open to the faculty and… Continue reading Build your data science skills: enrol to the computational social science courses