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InfoSeeking Lab's FATE (Fairness Accountability Transparency Ethics) group atUniversity of Washington participated in 2020 TREC Fairness Ranking Track. Thisreport describes that track, assigned data and tasks, our group definitions,and our results. Our approach to bringing fairness in retrieval and re-rankingtasks with Semantic Scholar data was to extract various dimensions of authoridentity. These dimensions included gender and location. We developed modulesfor these extractions in a way that allowed us to plug them in for either ofthe tasks as needed. After trying different combinations of relative weightsassigned to relevance, gender, and location information, we chose five runs forretrieval and five runs for re-ranking tasks. The results showed that our runsperformed below par for re-ranking task, but above average for retrieval.

University of Washington at TREC 2020 Fairness Ranking Track