Computational social science is an interdisciplinary academic sub-field concerned with computational approaches to the social sciences. This means that computers are used to model, simulate, and analyze social phenomena.

Computational Social Science Technology is everywhere. How will you use it to make the world a better place? In this bachelor's programme, you will learn how to tackle societal challenges such as climate change, inequality, and the impact of AI using data and computer science.

2009年2月6日 · What value might a computational social science—based in an open academic environment—offer society, by enhancing understanding of individuals and collectives? What are the obstacles that prevent the emergence of a computational social science?

MACSS combines solid foundations in data science and programming with student-tailored research interests in the social sciences. MACSS students develop knowledge, skills, and expertise in computational methods through conducting social scientific research.

Lying at the intersection of computer science, statistics and the social sciences, the emerging field of computational social science fills this role, using large-scale demographic, behavioral and network data to investigate human activity and relationships.

Discover how social networks and human dynamics create social systems and recognizable patterns.

Integrate research theories, methods, and empirical findings in the social sciences with statistical training and computational tools. Create a population of graduates who can successfully navigate the uneven terrain between data, methods, and interpretation of results.

2022年6月23日 · Computational social science is a field in which researchers use this data to answer important social science questions. To do this well, they need to develop data analysis skills and programming expertise.

The MaCSS curriculum integrates three components: computing tools and techniques, statistical approaches to data analysis, and social-science theories and findings.

Our CSS training combines coursework in formal models from across social science disciplines with modern computational data analysis techniques. Most important of all, the hands-on curriculum provides substantive and varied practice applying these skillsets to …