Editing Human Centered Data Science (Fall 2019)/Schedule

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;Resources
 
;Resources
* Princeton Dialogues on AI & Ethics: ''[https://aiethics.princeton.edu/case-studies/ Case studies]''
 
 
* Aragon, C. et al. (2016). [https://cscw2016hcds.files.wordpress.com/2015/10/cscw_2016_human-centered-data-science_workshop.pdf ''Developing a Research Agenda for Human-Centered Data Science.''] Human Centered Data Science workshop, CSCW 2016.
 
* Aragon, C. et al. (2016). [https://cscw2016hcds.files.wordpress.com/2015/10/cscw_2016_human-centered-data-science_workshop.pdf ''Developing a Research Agenda for Human-Centered Data Science.''] Human Centered Data Science workshop, CSCW 2016.
 
* Kling, Rob and Star, Susan Leigh. [https://scholarworks.iu.edu/dspace/bitstream/handle/2022/1798/wp97-04B.html ''Human Centered Systems in the Perspective of Organizational and Social Informatics.''] 1997.
 
* Kling, Rob and Star, Susan Leigh. [https://scholarworks.iu.edu/dspace/bitstream/handle/2022/1798/wp97-04B.html ''Human Centered Systems in the Perspective of Organizational and Social Informatics.''] 1997.
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;Homework assigned
 
;Homework assigned
* Read and reflect: Duarte, N., Llanso, E., & Loup, A. (2018). ''[https://cdt.org/files/2017/12/FAT-conference-draft-2018.pdf Mixed Messages? The Limits of Automated Social Media Content Analysis].'' Proceedings of the 1st Conference on Fairness, Accountability and Transparency, 81, 106.
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* Read and reflect: Olteanu, A., Castillo, C., Diaz, F., Kıcıman, E., & Kiciman, E. (2019). ''[https://www.frontiersin.org/articles/10.3389/fdata.2019.00013/pdf Social Data: Biases, Methodological Pitfalls, and Ethical Boundaries].'' Frontiers in Big Data, 2, 13. https://doi.org/10.3389/fdata.2019.00013
 
* [[Human_Centered_Data_Science_(Fall_2019)/Assignments#A2:_Bias_in_data|A2: Bias in data]]
 
* [[Human_Centered_Data_Science_(Fall_2019)/Assignments#A2:_Bias_in_data|A2: Bias in data]]
  
 
;Resources
 
;Resources
 
* Hickey, Walt. [https://fivethirtyeight.com/features/the-bechdel-test-checking-our-work/ ''The Bechdel Test: Checking Our Work'']. FiveThirtyEight, 2014.
 
* Hickey, Walt. [https://fivethirtyeight.com/features/the-bechdel-test-checking-our-work/ ''The Bechdel Test: Checking Our Work'']. FiveThirtyEight, 2014.
* GroupLens, ''[https://grouplens.org/datasets/movielens/ MovieLens datasets]''
 
 
* J. Priem, D. Taraborelli, P. Groth, C. Neylon (2010), ''[http://altmetrics.org/manifesto Altmetrics: A manifesto]'', 26 October 2010.
 
* J. Priem, D. Taraborelli, P. Groth, C. Neylon (2010), ''[http://altmetrics.org/manifesto Altmetrics: A manifesto]'', 26 October 2010.
 
* Chapter 2 [https://www.practicereproducibleresearch.org/core-chapters/2-assessment.html "Assessing Reproducibility"] and Chapter 3 [https://www.practicereproducibleresearch.org/core-chapters/3-basic.html "The Basic Reproducible Workflow Template"] from ''The Practice of Reproducible Research'' University of California Press, 2018.  
 
* Chapter 2 [https://www.practicereproducibleresearch.org/core-chapters/2-assessment.html "Assessing Reproducibility"] and Chapter 3 [https://www.practicereproducibleresearch.org/core-chapters/3-basic.html "The Basic Reproducible Workflow Template"] from ''The Practice of Reproducible Research'' University of California Press, 2018.  
* Halfaker, A., Geiger, R. S., Morgan, J. T., & Riedl, J. (2013). ''[https://www-users.cs.umn.edu/~halfaker/publications/The_Rise_and_Decline/halfaker13rise-preprint.pdf The rise and decline of an open collaboration system: How Wikipedia’s reaction to popularity is causing its decline].'' American Behavioral Scientist, 57(5), 664-688
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* TeBlunthuis, N., Shaw, A., and Hill, B.M. (2018). Revisiting "The rise and decline" in a population of peer production projects. In ''Proceedings of the 2018 ACM Conference on Human Factors in Computing Systems (CHI '18)''. https://doi.org/10.1145/3173574.3173929
 
* TeBlunthuis, N., Shaw, A., and Hill, B.M. (2018). Revisiting "The rise and decline" in a population of peer production projects. In ''Proceedings of the 2018 ACM Conference on Human Factors in Computing Systems (CHI '18)''. https://doi.org/10.1145/3173574.3173929
 
* Press, Gil. [https://www.forbes.com/sites/gilpress/2016/03/23/data-preparation-most-time-consuming-least-enjoyable-data-science-task-survey-says/#2608257f6f63 ''Cleaning Big Data: Most Time-Consuming, Least Enjoyable Data Science Task, Survey Says.''] Forbes, 2016.
 
* Press, Gil. [https://www.forbes.com/sites/gilpress/2016/03/23/data-preparation-most-time-consuming-least-enjoyable-data-science-task-survey-says/#2608257f6f63 ''Cleaning Big Data: Most Time-Consuming, Least Enjoyable Data Science Task, Survey Says.''] Forbes, 2016.
 
* Christensen, Garret. [https://github.com/garretchristensen/BestPracticesManual/blob/master/Manual.pdf ''Manual of Best Practices in Transparent Social Science Research.''] 2016.
 
* Christensen, Garret. [https://github.com/garretchristensen/BestPracticesManual/blob/master/Manual.pdf ''Manual of Best Practices in Transparent Social Science Research.''] 2016.
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* Aschwanden, Christie. [https://fivethirtyeight.com/features/science-isnt-broken/ ''Science Isn't Broken''] FiveThirtyEight, 2015.
 
* Aschwanden, Christie. [https://fivethirtyeight.com/features/science-isnt-broken/ ''Science Isn't Broken''] FiveThirtyEight, 2015.
 
* sample code for API calls ([http://paws-public.wmflabs.org/paws-public/User:Jtmorgan/data512_a1_example.ipynb view the notebook], [http://paws-public.wmflabs.org/paws-public/User:Jtmorgan/data512_a1_example.ipynb?format=raw download the notebook]).
 
* sample code for API calls ([http://paws-public.wmflabs.org/paws-public/User:Jtmorgan/data512_a1_example.ipynb view the notebook], [http://paws-public.wmflabs.org/paws-public/User:Jtmorgan/data512_a1_example.ipynb?format=raw download the notebook]).
 
*''See [[Human_Centered_Data_Science/Datasets#Dataset_documentation_examples|the datasets page]] for examples of well-documented and not-so-well documented open datasets.''
 
*''See [[Human_Centered_Data_Science/Datasets#Dataset_documentation_examples|the datasets page]] for examples of well-documented and not-so-well documented open datasets.''
 
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;Agenda
 
;Agenda
 
* Reading reflection review
 
* Reading reflection review
* Sources and consequences of bias in data collection, processing, and re-use
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* Sources of bias in datasets
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* Sources of bias in data collection and processing
 
* In-class activity
 
* In-class activity
  
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* Bender, E. M., & Friedman, B. (2018). [https://openreview.net/forum?id=By4oPeX9f Data Statements for NLP: Toward Mitigating System Bias and Enabling Better Science]. To appear in Transactions of the ACL.
 
* Bender, E. M., & Friedman, B. (2018). [https://openreview.net/forum?id=By4oPeX9f Data Statements for NLP: Toward Mitigating System Bias and Enabling Better Science]. To appear in Transactions of the ACL.
 
* Gebru, T., Morgenstern, J., Vecchione, B., Vaughan, J. W., Wallach, H., Daumeé III, H., & Crawford, K. (2018). [https://www.fatml.org/media/documents/datasheets_for_datasets.pdf Datasheets for datasets]. arXiv preprint arXiv:1803.09010.
 
* Gebru, T., Morgenstern, J., Vecchione, B., Vaughan, J. W., Wallach, H., Daumeé III, H., & Crawford, K. (2018). [https://www.fatml.org/media/documents/datasheets_for_datasets.pdf Datasheets for datasets]. arXiv preprint arXiv:1803.09010.
* Olteanu, A., Castillo, C., Diaz, F., Kıcıman, E., & Kiciman, E. (2019). ''[https://www.frontiersin.org/articles/10.3389/fdata.2019.00013/pdf Social Data: Biases, Methodological Pitfalls, and Ethical Boundaries].'' Frontiers in Big Data, 2, 13. https://doi.org/10.3389/fdata.2019.00013
 
* Rose Eveleth ''[https://www.vox.com/the-highlight/2019/10/1/20887003/tech-technology-evolution-natural-inevitable-ethics The biggest lie tech people tell themselves — and the rest of us].'' October 8, 2019, Vox.com.
 
* Rani Molla ''[https://www.vox.com/2019/2/8/18211794/government-data-internet The government is using the wrong data to make crucial decisions about the internet].'' February 8, 2019, Vox.com.
 
* Isaac L. Johnson, Yilun Lin, Toby Jia-Jun Li, Andrew Hall, Aaron Halfaker, Johannes Schöning, and Brent Hecht. 2016. Not at Home on the Range: Peer Production and the Urban/Rural Divide. DOI: https://doi.org/10.1145/2858036.2858123
 
* Leo Graiden Stewart, Ahmer Arif, A. Conrad Nied, Emma S. Spiro, and Kate Starbird. 2017. Drawing the Lines of Contention: Networked Frame Contests Within #BlackLivesMatter Discourse. CSCW 2017. DOI: https://doi.org/10.1145/3134920
 
* Lada A. Adamic and Natalie Glance. 2005. The political blogosphere and the 2004 U.S. election: divided they blog. (LinkKDD '05). DOI=http://dx.doi.org/10.1145/1134271.1134277
 
* Cristian Danescu-Niculescu-Mizil, Robert West, Dan Jurafsky, Jure Leskovec, and Christopher Potts. 2013. No country for old members: user lifecycle and linguistic change in online communities. (WWW '13). DOI: https://doi.org/10.1145/2488388.2488416
 
 
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;Introduction to qualitative and mixed-methods research: ''Big data vs thick data; integrating qualitative research methods into data science practice; crowdsourcing''
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;Introduction to mixed-methods research: ''Big data vs thick data; integrating qualitative research methods into data science practice; crowdsourcing''
  
 
;Assignments due
 
;Assignments due
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;Agenda
 
;Agenda
* Reading reflection reflection
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* Reading reflection review
* Overview of qualitative research
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* Review of assignment 2
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* Survey of qualitative research methods
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* Mixed-methods case study
 
* Introduction to ethnography
 
* Introduction to ethnography
* In-class activity: explaining art to aliens
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* Ethnographic research case study
* Mixed methods research and data science
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* In-class activity
* An introduction to crowdwork
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* Introduction to crowdwork
* Overview of assignment 3: Crowdwork ethnography
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* Overview of Assignment 3: Crowdwork ethnography
  
 
;Homework assigned
 
;Homework assigned
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* [[Human_Centered_Data_Science_(Fall_2019)/Assignments#A3:_Crowdwork_ethnography|A3: Crowdwork ethnography]]
 
* [[Human_Centered_Data_Science_(Fall_2019)/Assignments#A3:_Crowdwork_ethnography|A3: Crowdwork ethnography]]
  
;Resources
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;Qualitative and mixed-methods research resources
* Singer, P., Lemmerich, F., West, R., Zia, L., Wulczyn, E., Strohmaier, M., & Leskovec, J. (2017, April). ''[https://arxiv.org/pdf/1702.05379.pdf Why we read wikipedia]''. In Proceedings of the 26th International Conference on World Wide Web.
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* Ford, D., Smith, J., Guo, P. J., & Parnin, C. (2016). ''[http://denaeford.me/papers/stack-overflow-barriers-FSE-2016.pdf Paradise unplugged: Identifying barriers for female participation on stack overflow]''. Proceedings of the ACM SIGSOFT Symposium on the Foundations of Software Engineering, 13-18-Nove, 846–857. https://doi.org/10.1145/2950290.2950331
* [https://meta.wikimedia.org/wiki/Research:The_role_of_citations_in_how_readers_evaluate_Wikipedia_articles/Trust_taxonomy Taxonomy of reasons why people trust/distrust Wikipedia], Jonathan Morgan, Wikimedia Research report, May 2019.
 
 
* Ladner, S. (2016). ''[http://www.practicalethnography.com/ Practical ethnography: A guide to doing ethnography in the private sector]''. Routledge.
 
* Ladner, S. (2016). ''[http://www.practicalethnography.com/ Practical ethnography: A guide to doing ethnography in the private sector]''. Routledge.
 
* Spradley, J. P. (2016). ''[https://www.waveland.com/browse.php?t=688 The ethnographic interview]''. Waveland Press.
 
* Spradley, J. P. (2016). ''[https://www.waveland.com/browse.php?t=688 The ethnographic interview]''. Waveland Press.
 
* Spradley, J. P. (2016) ''[https://www.waveland.com/browse.php?t=689 Participant Observation]''. Waveland Press  
 
* Spradley, J. P. (2016) ''[https://www.waveland.com/browse.php?t=689 Participant Observation]''. Waveland Press  
 
* Eriksson, P., & Kovalainen, A. (2015). ''[http://study.sagepub.com/sites/default/files/Eriksson%20and%20Kovalainen.pdf Ch 12: Ethnographic Research]''. In Qualitative methods in business research: A practical guide to social research. Sage.
 
* Eriksson, P., & Kovalainen, A. (2015). ''[http://study.sagepub.com/sites/default/files/Eriksson%20and%20Kovalainen.pdf Ch 12: Ethnographic Research]''. In Qualitative methods in business research: A practical guide to social research. Sage.
* ''[http://www.wou.edu/~girodm/library/zork.pdf Qualitative research activity: categorizing student responses].'' Mark Girod, Western Oregon University
 
* ''[https://cmci.colorado.edu/~palen/EmpiricalEpistemologiesforHCC-7.pdf Empirical    Epistemologies Applied to Human-­‐Centered Computing Research]'' Leysia Palen, University of Colorado Boulder, November 16 2014.
 
 
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* Usability.gov, ''[https://www.usability.gov/how-to-and-tools/methods/system-usability-scale.html System usability scale]''.  
 
* Usability.gov, ''[https://www.usability.gov/how-to-and-tools/methods/system-usability-scale.html System usability scale]''.  
 
* Nielsen, Jakob (2000). ''[https://www.nngroup.com/articles/why-you-only-need-to-test-with-5-users/ Why you only need to test with five users]''. nngroup.com.
 
* Nielsen, Jakob (2000). ''[https://www.nngroup.com/articles/why-you-only-need-to-test-with-5-users/ Why you only need to test with five users]''. nngroup.com.
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;Crowdwork research resources
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* WeArDynamo contributors. ''[https://web.archive.org/web/20190702152012/http://wiki.wearedynamo.org/index.php?title=Basics_of_how_to_be_a_good_requester How to be a good requester]'' and ''[https://web.archive.org/web/20181122143506/http://wiki.wearedynamo.org/index.php/Guidelines_for_Academic_Requesters Guidelines for Academic Requesters]''. Wearedynamo.org
 
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<hr/>
 
<hr/>
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;Agenda
 
;Agenda
 
* Reading reflection review
 
* Reading reflection review
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* A brief history of research ethics in the United States
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* Research ethics in data science
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* Technological approaches to data privacy
 
* Guest lecture
 
* Guest lecture
* A2 retrospective
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* Procedural approaches to data privacy
* Final project deliverables and timeline
 
* A brief history of research ethics in the United States
 
 
 
  
 
;Homework assigned
 
;Homework assigned
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* Javier Salido (2012). ''[http://download.microsoft.com/download/D/1/F/D1F0DFF5-8BA9-4BDF-8924-7816932F6825/Differential_Privacy_for_Everyone.pdf Differential Privacy for Everyone].'' Microsoft Corporation Whitepaper.
 
* Javier Salido (2012). ''[http://download.microsoft.com/download/D/1/F/D1F0DFF5-8BA9-4BDF-8924-7816932F6825/Differential_Privacy_for_Everyone.pdf Differential Privacy for Everyone].'' Microsoft Corporation Whitepaper.
 
* Markham, Annette and Buchanan, Elizabeth. [https://aoir.org/reports/ethics2.pdf ''Ethical Decision-Making and Internet Researchers.''] Association for Internet Research, 2012.
 
* Markham, Annette and Buchanan, Elizabeth. [https://aoir.org/reports/ethics2.pdf ''Ethical Decision-Making and Internet Researchers.''] Association for Internet Research, 2012.
* Kelley, P. G., Bresee, J., Cranor, L. F., & Reeder, R. W. (2009). ''[http://cups.cs.cmu.edu/soups/2009/proceedings/a4-kelley.pdf A “nutrition label” for privacy.]'' Proceedings of the 5th Symposium on Usable Privacy and Security - SOUPS ’09, 1990, 1. https://doi.org/10.1145/1572532.1572538
 
* Warncke-Wang, M., Cosley, D., & Riedl, J. (2013). ''[https://opensym.org/wsos2013/proceedings/p0202-warncke.pdf Tell me more: An actionable quality model for wikipedia].'' Proceedings of the 9th International Symposium on Open Collaboration, WikiSym + OpenSym 2013. https://doi.org/10.1145/2491055.2491063
 
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* Hill, Kashmir. [https://www.forbes.com/sites/kashmirhill/2014/06/28/facebook-manipulated-689003-users-emotions-for-science/#6a01653e197c ''Facebook Manipulated 689,003 Users' Emotions For Science.''] Forbes, 2014.
 
* Hill, Kashmir. [https://www.forbes.com/sites/kashmirhill/2014/06/28/facebook-manipulated-689003-users-emotions-for-science/#6a01653e197c ''Facebook Manipulated 689,003 Users' Emotions For Science.''] Forbes, 2014.
 
* Adam D. I. Kramer, Jamie E. Guillory, and Jeffrey T. Hancock [http://www.pnas.org/content/111/24/8788.full ''Experimental evidence of massive-scale emotional contagion through social networks.''] PNAS 2014 111 (24) 8788-8790; published ahead of print June 2, 2014.
 
* Adam D. I. Kramer, Jamie E. Guillory, and Jeffrey T. Hancock [http://www.pnas.org/content/111/24/8788.full ''Experimental evidence of massive-scale emotional contagion through social networks.''] PNAS 2014 111 (24) 8788-8790; published ahead of print June 2, 2014.
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* Zetter, Kim. [https://www.wired.com/2012/06/wmw-arvind-narayanan/ ''Arvind Narayanan Isn’t Anonymous, and Neither Are You.''] WIRED, 2012.
 
* Zetter, Kim. [https://www.wired.com/2012/06/wmw-arvind-narayanan/ ''Arvind Narayanan Isn’t Anonymous, and Neither Are You.''] WIRED, 2012.
 
* Gray, Mary. [http://culturedigitally.org/2014/07/when-science-customer-service-and-human-subjects-research-collide-now-what/ ''When Science, Customer Service, and Human Subjects Research Collide. Now What?''] Culture Digitally, 2014.
 
* Gray, Mary. [http://culturedigitally.org/2014/07/when-science-customer-service-and-human-subjects-research-collide-now-what/ ''When Science, Customer Service, and Human Subjects Research Collide. Now What?''] Culture Digitally, 2014.
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* Tene, Omer and Polonetsky, Jules. [https://www.stanfordlawreview.org/online/privacy-paradox-privacy-and-big-data/ ''Privacy in the Age of Big Data.''] Stanford Law Review, 2012.
 
* Dwork, Cynthia. [https://www.microsoft.com/en-us/research/wp-content/uploads/2008/04/dwork_tamc.pdf ''Differential Privacy: A survey of results'']. Theory and Applications of Models of Computation , 2008.
 
* Dwork, Cynthia. [https://www.microsoft.com/en-us/research/wp-content/uploads/2008/04/dwork_tamc.pdf ''Differential Privacy: A survey of results'']. Theory and Applications of Models of Computation , 2008.
 
* Hsu, Danny. [http://blog.datasift.com/2015/04/09/techniques-to-anonymize-human-data/ ''Techniques to Anonymize Human Data.''] Data Sift, 2015.
 
* Hsu, Danny. [http://blog.datasift.com/2015/04/09/techniques-to-anonymize-human-data/ ''Techniques to Anonymize Human Data.''] Data Sift, 2015.
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* Reading reflections
 
* Reading reflections
 
* Assignment 3 review
 
* Assignment 3 review
* Guest lecture: Stefania Druga
 
 
* In-class activity
 
* In-class activity
 
* Introduction to assignment 4: Final project proposal
 
* Introduction to assignment 4: Final project proposal
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;Resources
 
;Resources
 
* Lilly C. Irani and M. Six Silberman. 2013. ''[https://escholarship.org/content/qt10c125z3/qt10c125z3.pdf Turkopticon: interrupting worker invisibility in amazon mechanical turk]''. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI '13). DOI: https://doi.org/10.1145/2470654.2470742
 
* Lilly C. Irani and M. Six Silberman. 2013. ''[https://escholarship.org/content/qt10c125z3/qt10c125z3.pdf Turkopticon: interrupting worker invisibility in amazon mechanical turk]''. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI '13). DOI: https://doi.org/10.1145/2470654.2470742
* Salehi, Niloufar, Lilly C. Irani, Michael S. Bernstein, Ali Alkhatib, Eva Ogbe, and Kristy Milland. ''[https://hci.stanford.edu/publications/2015/dynamo/DynamoCHI2015.pdf We are dynamo: Overcoming stalling and friction in collective action for crowd workers]''. In Proceedings of the 33rd annual ACM conference on human factors in computing systems, pp. 1621-1630. ACM, 2015.
 
* Hill, B. M., Dailey, D., Guy, R. T., Lewis, B., Matsuzaki, M., & Morgan, J. T. (2017). ''[https://mako.cc/academic/hill_etal-cdsw_chapter-DRAFT.pdf Democratizing Data Science: The Community Data Science Workshops and Classes]''. In N. Jullien, S. A. Matei, & S. P. Goggins (Eds.), Big Data Factories: Scientific Collaborative approaches for virtual community data collection, repurposing, recombining, and dissemination. New York, New York: Springer Nature. https://doi.org/10.1007/978-3-319-59186-5_9
 
 
* Ingold, David and Soper, Spencer. ''[https://www.bloomberg.com/graphics/2016-amazon-same-day/ Amazon Doesn’t Consider the Race of Its Customers. Should It?].'' Bloomberg, 2016.
 
* Ingold, David and Soper, Spencer. ''[https://www.bloomberg.com/graphics/2016-amazon-same-day/ Amazon Doesn’t Consider the Race of Its Customers. Should It?].'' Bloomberg, 2016.
 
* Julia Angwin, Jeff Larson, Surya Mattu and Lauren Kirchner. ''[https://www.propublica.org/article/machine-bias-risk-assessments-in-criminal-sentencing Machine Bias: Risk Assessment in Criminal Sentencing]. Propublica, May 2018.
 
* Julia Angwin, Jeff Larson, Surya Mattu and Lauren Kirchner. ''[https://www.propublica.org/article/machine-bias-risk-assessments-in-criminal-sentencing Machine Bias: Risk Assessment in Criminal Sentencing]. Propublica, May 2018.
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;Resources
 
;Resources
 
* Christian Sandvig, Kevin Hamilton, Karrie Karahalios, Cedric Langbort (2014/05/22) ''[http://www-personal.umich.edu/~csandvig/research/Auditing%20Algorithms%20--%20Sandvig%20--%20ICA%202014%20Data%20and%20Discrimination%20Preconference.pdf Auditing Algorithms: Research Methods for Detecting Discrimination on Internet Platforms].'' Paper presented to "Data and Discrimination: Converting Critical Concerns into Productive Inquiry," a preconference at the 64th Annual Meeting of the International Communication Association. May 22, 2014; Seattle, WA, USA.  
 
* Christian Sandvig, Kevin Hamilton, Karrie Karahalios, Cedric Langbort (2014/05/22) ''[http://www-personal.umich.edu/~csandvig/research/Auditing%20Algorithms%20--%20Sandvig%20--%20ICA%202014%20Data%20and%20Discrimination%20Preconference.pdf Auditing Algorithms: Research Methods for Detecting Discrimination on Internet Platforms].'' Paper presented to "Data and Discrimination: Converting Critical Concerns into Productive Inquiry," a preconference at the 64th Annual Meeting of the International Communication Association. May 22, 2014; Seattle, WA, USA.  
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* Shahriari, K., & Shahriari, M. (2017). ''[https://ethicsinaction.ieee.org/ IEEE standard review - Ethically aligned design: A vision for prioritizing human wellbeing with artificial intelligence and autonomous systems].'' Institute of Electrical and Electronics Engineers
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* ACM US Policy Council ''[https://www.acm.org/binaries/content/assets/public-policy/2017_usacm_statement_algorithms.pdf Statement on Algorithmic Transparency and Accountability].'' January 2017.
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* ''[https://futureoflife.org/ai-principles/ Asilomar AI Principles].'' Future of Life Institute, 2017.
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* Diakopoulos, N., Friedler, S., Arenas, M., Barocas, S., Hay, M., Howe, B., … Zevenbergen, B. (2018). ''[http://www.fatml.org/resources/principles-for-accountable-algorithms Principles for Accountable Algorithms and a Social Impact Statement for Algorithms].'' Fatml.Org 2018.
 
* Friedman, B., & Nissenbaum, H. (1996). ''[https://www.vsdesign.org/publications/pdf/64_friedman.pdf Bias in Computer Systems]''. ACM Trans. Inf. Syst., 14(3), 330–347.
 
* Friedman, B., & Nissenbaum, H. (1996). ''[https://www.vsdesign.org/publications/pdf/64_friedman.pdf Bias in Computer Systems]''. ACM Trans. Inf. Syst., 14(3), 330–347.
 
* Nate Matias, 2017. ''[https://medium.com/@natematias/how-anyone-can-audit-facebooks-newsfeed-b879c3e29015 How Anyone Can Audit Facebook's Newsfeed].'' Medium.com
 
* Nate Matias, 2017. ''[https://medium.com/@natematias/how-anyone-can-audit-facebooks-newsfeed-b879c3e29015 How Anyone Can Audit Facebook's Newsfeed].'' Medium.com
 
* Hill, Kashmir. ''[https://gizmodo.com/facebook-figured-out-my-family-secrets-and-it-wont-tel-1797696163 Facebook figured out my family secrets, and it won't tell me how].'' Engadget, 2017.
 
* Hill, Kashmir. ''[https://gizmodo.com/facebook-figured-out-my-family-secrets-and-it-wont-tel-1797696163 Facebook figured out my family secrets, and it won't tell me how].'' Engadget, 2017.
 
* Blue, Violet. ''[https://www.engadget.com/2017/09/01/google-perspective-comment-ranking-system/ Google’s comment-ranking system will be a hit with the alt-right].'' Engadget, 2017.
 
* Blue, Violet. ''[https://www.engadget.com/2017/09/01/google-perspective-comment-ranking-system/ Google’s comment-ranking system will be a hit with the alt-right].'' Engadget, 2017.
* Anderson, Carl. ''[https://medium.com/@leapingllamas/the-role-of-model-interpretability-in-data-science-703918f64330 The role of model interpretability in data science].'' Medium, 2016.
+
* [https://www.perspectiveapi.com/#/ Google's Perspective API]
* Julia Angwin, Jeff Larson, Surya Mattu and Lauren Kirchner. ''[https://www.propublica.org/article/machine-bias-risk-assessments-in-criminal-sentencing Machine Bias: Risk Assessment in Criminal Sentencing]. Propublica, May 2018.
+
* Morgan, J. 2016. ''[https://meta.wikimedia.org/wiki/Research:Evaluating_RelatedArticles_recommendations Evaluating Related Articles recommendations]''. Wikimedia Research.
* Mitchell, M., Wu, S., Zaldivar, A., Barnes, P., Vasserman, L., Hutchinson, B., … Gebru, T. (2019). Model Cards for Model Reporting. Proceedings of the Conference on Fairness, Accountability, and Transparency, 220–229. https://doi.org/10.1145/3287560.3287596
+
* Morgan, J. 2017. ''[https://meta.wikimedia.org/wiki/Research:Comparing_most_read_and_trending_edits_for_Top_Articles_feature Comparing most read and trending edits for the top articles feature]''. Wikimedia Research.
* Hosseini, H., Kannan, S., Zhang, B., & Poovendran, R. (2017). Deceiving Google’s Perspective API Built for Detecting Toxic Comments. ArXiv:1702.08138 [Cs]. Retrieved from http://arxiv.org/abs/1702.08138
+
*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).
* Binns, R., Veale, M., Van Kleek, M., & Shadbolt, N. (2017). Like trainer, like bot? Inheritance of bias in algorithmic content moderation. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 10540 LNCS, 405–415. https://doi.org/10.1007/978-3-319-67256-4_32
 
* Borkan, D., Dixon, L., Sorensen, J., Thain, N., & Vasserman, L. (2019). Nuanced Metrics for Measuring Unintended Bias with Real Data for Text Classification. 2, 491–500. https://doi.org/10.1145/3308560.3317593
 
* Zhang, J., Chang, J., Danescu-Niculescu-Mizil, C., Dixon, L., Hua, Y., Taraborelli, D., & Thain, N. (2019). Conversations Gone Awry: Detecting Early Signs of Conversational Failure. 1350–1361. https://doi.org/10.18653/v1/p18-1125
 
* Miriam Redi, Besnik Fetahu, Jonathan T. Morgan, and Dario Taraborelli. 2019. ''[https://arxiv.org/pdf/1902.11116.pdf Citation Needed a Taxonomy and Algorithmic Assessment of Wikipedia’s Verifiability].'' The Web Conference.
 
*[https://www.perspectiveapi.com/#/ Google's Perspective API]
 
  
 
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;Resources
 
;Resources
 +
* Ethical OS ''[https://ethicalos.org/wp-content/uploads/2018/08/Ethical-OS-Toolkit-2.pdf Toolkit]'' and ''[https://ethicalos.org/wp-content/uploads/2018/08/EthicalOS_Check-List_080618.pdf Risk Mitigation Checklist]''. EthicalOS.org.
 
* 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).
 
* 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).
* Sean M. McNee, Nishikant Kapoor, and Joseph A. Konstan. 2006. ''[http://files.grouplens.org/papers/p171-mcnee.pdf Don't look stupid: avoiding pitfalls when recommending research papers].'' In Proceedings of the 2006 20th anniversary conference on Computer supported cooperative work (CSCW '06).
+
* Sean M. McNee, Nishikant Kapoor, and Joseph A. Konstan. 2006. ''[http://files.grouplens.org/papers/p171-mcnee.pdf Don't look stupid: avoiding pitfalls when recommending research papers].'' In Proceedings of the 2006 20th anniversary conference on Computer supported cooperative work (CSCW '06).  
* Shahriari, K., & Shahriari, M. (2017). ''[https://ethicsinaction.ieee.org/ IEEE standard review - Ethically aligned design: A vision for prioritizing human wellbeing with artificial intelligence and autonomous systems].'' Institute of Electrical and Electronics Engineers
+
* 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 US Policy Council ''[https://www.acm.org/binaries/content/assets/public-policy/2017_usacm_statement_algorithms.pdf Statement on Algorithmic Transparency and Accountability].'' January 2017.
+
* Jess Holbrook. ''[https://medium.com/google-design/human-centered-machine-learning-a770d10562cd Human Centered Machine Learning].'' Google Design Blog. 2017.
* Diakopoulos, N., Friedler, S., Arenas, M., Barocas, S., Hay, M., Howe, B., … Zevenbergen, B. (2018). ''[http://www.fatml.org/resources/principles-for-accountable-algorithms Principles for Accountable Algorithms and a Social Impact Statement for Algorithms].'' Fatml.Org 2018.  
+
* Anderson, Carl. ''[https://medium.com/@leapingllamas/the-role-of-model-interpretability-in-data-science-703918f64330 The role of model interpretability in data science].'' Medium, 2016.
* Morgan, J. 2016. ''[https://meta.wikimedia.org/wiki/Research:Evaluating_RelatedArticles_recommendations Evaluating Related Articles recommendations]''. Wikimedia Research.
+
*Fabien Girardin. ''[https://medium.com/@girardin/experience-design-in-the-machine-learning-era-e16c87f4f2e2 Experience design in the machine learning era].'' Medium, 2016.
* Morgan, J. 2017. ''[https://meta.wikimedia.org/wiki/Research:Comparing_most_read_and_trending_edits_for_Top_Articles_feature Comparing most read and trending edits for the top articles feature]''. Wikimedia Research.
+
* Xavier Amatriain and Justin Basilico. ''[https://medium.com/netflix-techblog/netflix-recommendations-beyond-the-5-stars-part-1-55838468f429 Netflix Recommendations: Beyond the 5 stars].'' Netflix Tech Blog, 2012.
*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).
+
* Jess Holbrook. ''[https://medium.com/google-design/human-centered-machine-learning-a770d10562cd Human Centered Machine Learning].'' Google Design Blog. 2017.
 +
* Bart P. Knijnenburg, Martijn C. Willemsen, Zeno Gantner, Hakan Soncu, and Chris Newell. 2012. ''[https://pure.tue.nl/ws/files/3484177/724656348730405.pdf Explaining the user experience of recommender systems].'' User Modeling and User-Adapted Interaction 22, 4-5 (October 2012), 441-504. DOI=http://dx.doi.org/10.1007/s11257-011-9118-4
 +
* Patrick Austin, ''[https://gizmodo.com/facebook-google-and-microsoft-use-design-to-trick-you-1827168534 Facebook, Google, and Microsoft Use Design to Trick You Into Handing Over Your Data, New Report Warns].'' Gizmodo, 6/18/2018
 +
* Cremonesi, P., Elahi, M., & Garzotto, F. (2017). ''[https://core.ac.uk/download/pdf/74313597.pdf User interface patterns in recommendation-empowered content intensive multimedia applications].'' Multimedia Tools and Applications, 76(4), 5275-5309.
 
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=== Week 9: November 21 ===
 
=== Week 9: November 21 ===
  
;Data science in context: Doing human centered datascience in product organizations; communicating and collaborating across roles and disciplines; HCDS industry trends and trajectories
+
;Data science in context: Doing human centered datascience in product organizations; communicating across roles and disciplines; data science for social good
  
 
;Assignments due
 
;Assignments due
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;Agenda
 
;Agenda
* Filling out course evaluation
+
* ''coming soon''
* Week 8 in-class activity report out
+
<!--
* End of quarter logistics
+
* Reading reflections discussion
* Final project presentations and reports
+
* Feedback on Final Project Plans
* Guest lecture: Rich Caruana, Microsoft Research
+
* UI patterns & UX considerations for ML/data-driven applications
* In-class activity (InterpretML): Harsha Nori, Microsoft
+
* Final project presentation: what to expect
 
+
* In-class activity: final project peer review
 +
-->
  
 
;Homework assigned
 
;Homework assigned
* Read and reflect: Passi, S., & Jackson, S. J. (2018). ''[https://dl.acm.org/citation.cfm?doid=3290265.3274405 Trust in Data Science: Collaboration, Translation, and Accountability in Corporate Data Science Projects].'' Proceedings of the ACM on Human-Computer Interaction, 2(CSCW), 1–28. https://doi.org/10.1145/3274405 ([https://sjackson.infosci.cornell.edu/Passi&Jackson_TrustinDataScience(CSCW2018).pdf ACCESS PDF HERE])
+
* Read and reflect: Alkhatib, A., & Bernstein, M. (2019). ''[https://hci.stanford.edu/publications/2019/streetlevelalgorithms/streetlevelalgorithms-chi2019.pdf Street-Level Algorithms: A Theory at the Gaps Between Policy and Decisions]''. Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems. https://doi.org/10.1145/3290605.3300760
 
* [[Human_Centered_Data_Science_(Fall_2019)/Assignments#A7:_Final_project_report|A7: Final project report]]
 
* [[Human_Centered_Data_Science_(Fall_2019)/Assignments#A7:_Final_project_report|A7: Final project report]]
  
 
;Resources
 
;Resources
* Rich Caruana, Harsha Nori, Samuel Jenkins, Paul Koch, Ester de Nicolas. 2019. ''InterpretML software toolkit'' ([https://github.com/interpretml/interpret github repo], [https://www.microsoft.com/en-us/research/blog/creating-ai-glass-boxes-open-sourcing-a-library-to-enable-intelligibility-in-machine-learning/ blog post])
+
<!--
* Partnership on AI, 2019 ''[https://www.partnershiponai.org/report-on-machine-learning-in-risk-assessment-tools-in-the-u-s-criminal-justice-system/ Report on Algorithmic Risk Assessment Tools in the U.S. Criminal Justice System].''
+
* Daniela Aiello, Lisa Bates, et al. [https://shelterforce.org/2018/08/22/eviction-lab-misses-the-mark/ Eviction Lab Misses the Mark], ShelterForce, August 2018.
* Morgan, J. T., 2019. ''[https://figshare.com/articles/Ethical_Human_Centered_AI/8044553 Ethical and Human-centered AI at Wikimedia]''. Wikimedia Research 2030​.
+
-->
  
 
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