Congratulations to PhD student Sophie Liu who has been accepted as a Fellow in the 2022-23 year cohort of the Consortium on Analytics for Data-Driven Decision Making (CAnD3). Operating from McGill University, the program seeks to address the needs of an aging population by exploring how we use data. The Fellows selected from 14 institutions and eight different disciplines will come together to discuss relevant, pressing, and important topics in population research.
We spoke to Sophie about what her placement means and the work she will be doing.
What work and research will you be doing as a CAnD3 Fellow?
My research examines barriers to the integration of visible minorities in the Northern American context. In particular, I draw on survey data analysis as well as experimental and archival methods to explore legal, policy, and societal responses to immigration. As a CAnD3 fellow, I look forward to exploring how computational and data science methods can be leveraged in policy-driven and action-oriented immigration research.
What does it mean for you to be a CAnD3 Fellow?
As a sociologist, I am excited about this fellowship because I am always interested in learning about new and creative empirical methods. I believe that the CAnD3 training program will enable me to conduct sociological research at the nexus of data science, policy, and social theory.
What opportunities are you looking forward to as part of this program?
My work frequently draws on survey data and survey experiments. I can envision the data science and policy training provided by the CAnD3 training program contributing to my ability to design, execute, interpret, and disseminate research that has real-world impact.