Editing HCDS (Fall 2017)/Schedule
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=== Week 1: September 28 === | === Week 1: September 28 === | ||
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=== Week 6: November 2 === | === Week 6: November 2 === | ||
[[HCDS_(Fall_2017)/Day_6_plan|Day 6 plan]] | [[HCDS_(Fall_2017)/Day_6_plan|Day 6 plan]] | ||
;Mixed-methods research: ''Big data vs thick data; qualitative research in data science '' | ;Mixed-methods research: ''Big data vs thick data; qualitative research in data science '' | ||
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[[HCDS_(Fall_2017)/Day_8_plan|Day 8 plan]] | [[HCDS_(Fall_2017)/Day_8_plan|Day 8 plan]] | ||
;User experience and big data: ''prototyping and user testing; benchmarking and iterative evaluation; UI design for data science'' | |||
;User experience and big data: ''user | |||
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;Readings assigned | ;Readings assigned | ||
*Michael D. Ekstrand, F. Maxwell Harper, Martijn C. Willemsen, and Joseph A. Konstan. 2014. ''[https://md.ekstrandom.net/research/pubs/listcmp/listcmp.pdf User perception of differences in recommender algorithms].'' In Proceedings of the 8th ACM Conference on Recommender systems (RecSys '14). ACM, New York, NY, USA, 161-168. DOI: https://doi.org/10.1145/2645710.2645737 | *Michael D. Ekstrand, F. Maxwell Harper, Martijn C. Willemsen, and Joseph A. Konstan. 2014. ''[https://md.ekstrandom.net/research/pubs/listcmp/listcmp.pdf User perception of differences in recommender algorithms].'' In Proceedings of the 8th ACM Conference on Recommender systems (RecSys '14). ACM, New York, NY, USA, 161-168. DOI: https://doi.org/10.1145/2645710.2645737 | ||
;Homework assigned | ;Homework assigned | ||
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;Resources | ;Resources | ||
* Sean M. McNee, John Riedl, and Joseph A. Konstan. 2006. ''[http://files.grouplens.org/papers/mcnee-chi06-hri.pdf Making recommendations better: an analytic model for human-recommender interaction].'' In CHI '06 Extended Abstracts on Human Factors in Computing Systems (CHI EA '06). ACM, New York, NY, USA, 1103-1108. DOI=http://dx.doi.org/10.1145/1125451.1125660 | * Sean M. McNee, John Riedl, and Joseph A. Konstan. 2006. ''[http://files.grouplens.org/papers/mcnee-chi06-hri.pdf Making recommendations better: an analytic model for human-recommender interaction].'' In CHI '06 Extended Abstracts on Human Factors in Computing Systems (CHI EA '06). ACM, New York, NY, USA, 1103-1108. DOI=http://dx.doi.org/10.1145/1125451.1125660 | ||
* Michael D. Ekstrand and Martijn C. Willemsen. 2016. ''[https://md.ekstrandom.net/research/pubs/behaviorism/BehaviorismIsNotEnough.pdf Behaviorism is Not Enough: Better Recommendations through Listening to Users].'' In Proceedings of the 10th ACM Conference on Recommender Systems (RecSys '16). ACM, New York, NY, USA, 221-224. DOI: https://doi.org/10.1145/2959100.2959179 | * Michael D. Ekstrand and Martijn C. Willemsen. 2016. ''[https://md.ekstrandom.net/research/pubs/behaviorism/BehaviorismIsNotEnough.pdf Behaviorism is Not Enough: Better Recommendations through Listening to Users].'' In Proceedings of the 10th ACM Conference on Recommender Systems (RecSys '16). ACM, New York, NY, USA, 221-224. DOI: https://doi.org/10.1145/2959100.2959179 | ||
* Jess Holbrook. ''[https://medium.com/google-design/human-centered-machine-learning-a770d10562cd Human Centered Machine Learning].'' Google Design Blog. 2017. | * Jess Holbrook. ''[https://medium.com/google-design/human-centered-machine-learning-a770d10562cd Human Centered Machine Learning].'' Google Design Blog. 2017. | ||
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;Readings assigned | ;Readings assigned | ||
;Homework assigned | ;Homework assigned | ||
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;Resources | ;Resources | ||
<br/> | <br/> | ||
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=== Week 10: November 30 === | === Week 10: November 30 === | ||
[[HCDS_(Fall_2017)/Day_10_plan|Day 10 plan]] | [[HCDS_(Fall_2017)/Day_10_plan|Day 10 plan]] | ||
;Communicating methods, results, and implications: translating for non-data scientists '' | ;Communicating methods, results, and implications: translating for non-data scientists '' | ||
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;Readings assigned | ;Readings assigned | ||
;Homework assigned | ;Homework assigned | ||
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;Resources | ;Resources | ||
* | * ''one'' | ||
<br/> | <br/> | ||
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[[HCDS_(Fall_2017)/Day_11_plan|Day 11 plan]] | [[HCDS_(Fall_2017)/Day_11_plan|Day 11 plan]] | ||
;Future of human centered data science: | ;Future of human centered data science: ''case studies from research, industry, and policy; final presentations'' | ||