@the_IAS, Co-founder http://sicss.io, Author of Bit by Bit: Social Research in the Digital Age: http://bitbybitbook.com
The web is badly in need of better governance, or even governance at all for that matter. Changing the few institutions we have could be a great first step.
The W3C is looking for a CEO — could that be you?
https://candidates.perrettlaver.com/vacancies/3565/
Researchers have long theorised about the processes through which family background and childhood experiences shape life outcomes. However, statistical models that use data on family background and childhood experiences to predict life outcomes often have poor predictive performance. In this talk, we present results from three interrelated studies of the predictability of life outcomes: a scientific mass collaboration involving hundreds of participants, a high-throughput study using hundreds of machine learning pipelines to predict hundreds of life outcomes, and a qualitative study involving in-depth interviews with 40 families. Collectively these studies help to assess and understand the limits to predictability of life outcomes, which has implications for social science theory and for algorithmic decision-making in high-stakes settings.
Join us for a lively SAGE Methodspace webinar, Teaching Computational Social Science. This webinar will offer practical tips to improve your instructional practice or guidance with student researchers. Dr. Janet Salmons, Research Community Manager for SAGE Methodspace will moderate the discussion, so bring your questions and join the conversation! Panelists are: · Dr. Matti Nelimarkka, author of the new book Computational Thinking and Social Science: Combining Programming, Methodologies and Fundamental Concepts, and university lecturer at the University of Helsinki, and Aalto University, Finland. · Dr. Friedolin Merhout, assistant professor at the Sociologisk Institut at the University of Copenhagen, Denmark. He is the Director of Graduate Studies for the interdisciplinary MSc in Social Data Science. Nelimarkka and Merhout will discuss strategies for engaging with students and building the skills needed to design, plan, and conduct studies using computational social science methods. They will offer examples from their own experience in course design and teaching – including how to work past problems students sometimes have when trying to learn these complex concepts.