Autumn 2022 - Spring 2023
Research Design for Games to Teach Data Ethics
Co-directed by Cecilia Aragon, Bernease Herman, and Sarah Evans
This research group will co-design a game, along with faculty and students from the University of North Texas (UNT), a Hispanic-Serving Institution, to explore issues of ethics and diversity in data science. Students will be hands-on in exploring examples of educational games, brainstorming and providing ideas for games, creating prototypes, and playtesting. Some themes we may consider include data privacy, trust of algorithmic systems, predictive policing, fairness, and others. Our goal is to produce a working prototype of a game, playtest it, and study our own design processes to gain insight into how conflicts in norms and culture may change the learning process.
This will be a two-quarter (with option to continue for the full year) directed research group with the goal of writing and submitting a paper to a top venue in spring 2023. All group members will be offered the opportunity to be co-authors on the paper.
We are looking for a relatively small group of people who are each interested in between 2 and 5 credit hours of credit/no credit grade in HCDE 496/596 for Fall, Winter, and Spring Quarters in 2022-2023. Interested undergraduate and graduate students may apply. Graphic design experience and familiarity with a wide variety of games is recommended but not required for motivated students.
The group will meet virtually over Zoom to accommodate the UNT students. Meetings will be on Tuesdays from 9:30-11am. Please apply using this Google Form.
Human-Centered Natural Language Processing and Text Visualization
Note: This DRG is at capacity for Autumn 2022 and no longer accepting applications.
This research group will apply human-centered techniques in the fields of natural language processing (NLP) and visualization to study very large text corpora, with a specific focus on text visualization. We’re looking for students with experience in either (a) programming and analysis of large text datasets or (b) machine learning and data science. Data visualization or NLP experience is a plus but not required. This DRG is full for Autumn 2022.
Exploring Positionality in Qualitative Coding
This 2-credit DRG will take students through the process of qualitative coding of data. Students will be asked to perform open coding on datasets, and meet to discuss agreements/disagreements as they work towards formulating a codebook. As they code, they will be asked to consider how their own positionalities affect their interpretation of data, and what external contexts they applied in their work. The DRG will meet on Wednesdays, 10 a.m. - 12 noon.
We are looking for 5-7 students with little or no prior experience with qualitative coding, but interest in qualitative research. If you are interested, please email Sourojit Ghosh (firstname.lastname@example.org) with a brief statement of intent, CV and unofficial transcript. Please use the subject line "Interest in Positionality in Qualitative Coding DRG:<your name>.
This DRG is no longer accepting applicants for Autumn 2022.