{"id":14417,"date":"2018-01-08T20:34:42","date_gmt":"2018-01-09T01:34:42","guid":{"rendered":"https:\/\/carleton.ca\/coris\/2018\/russell-sage-foundation-computational-social-science-2\/"},"modified":"2018-02-05T08:32:35","modified_gmt":"2018-02-05T13:32:35","slug":"russell-sage-foundation-computational-social-science-2","status":"publish","type":"post","link":"https:\/\/carleton.ca\/ci\/2018\/russell-sage-foundation-computational-social-science-2\/","title":{"rendered":"Russell Sage Foundation: Computational Social Science"},"content":{"rendered":"

The Russell Sage Foundation\u2019s initiative on\u00a0Computational Social Science<\/a>\u00a0(CSS) supports innovative social science research that brings new data and methods to bear on questions of interest in its core programs in\u00a0Behavioral Economics<\/a>,\u00a0Future of Work<\/a>,\u00a0Race, Ethnicity and Immigration<\/a>, and\u00a0Social Inequality<\/a>. Limited consideration will be given to questions that pertain to core methodologies, such as causal inference and innovations in data collection.<\/p>\n

Examples of research (some recently funded by RSF) that are of interest include, but are not restricted to, the following:<\/p>\n