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Games for Good Research

Human Issues in Data Science

Since January 2022, I've had the opportunity to explore research design with UW's Human Centered Data Ethics Lab. The lab directed by Professor Cecilia Aragon,  explores human issues in data science including, visual analytics (visualization and machine learning), data science and big data, emotion in text communication, games for good (collaborative educational games), and data-intensive scientific collaborations.

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I am currently working with a team of other researchers and students on studying how games can be used to teach data science ethics. Our approach borrows from participatory design research as we aim to look at the ethical implications of positioning the designer and player, the researcher and the researched, and how to further design research in this field from a human-centered perspective.

 

As a part of this project, I have also worked on building a so-called 'serious' digital game about misinformation. The game focuses on FLICC methods (disinformation techniques of science denial) using a multiplayer approach. After the game is completed, we are working on conducting a playtest and writing about the method and reasons to use this type of game when exploring serious topics. 

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Publications

Byun, M., Mistry, S., Herman, B., Pruekcharoen, P., & Cianflone, L. (2023). Self Transformation in Developing Games Teaching Data Science Ethics. Online Journal Gamevironments I SSN 2364-382X. 

Expected Publication Data December 2023.

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2022 © Lo Cianflone

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