Pater, J., Fiesler, C., and Zimmer, M. (2022). No Humans Here: Ethical Speculation on Public Data, Unintended Consequences, and the Limits of Institutional Review. Proceedings of the ACM on Human-Computer Interaction, CSCW. https://doi.org/10.1145/3492857
Fiesler, C. Frauenberger, C., Muller, M., Vitak, J., and Zimmer, M. (2022). Research Ethics in HCI: A SIGCHI Community Discussion. ACM CHI Conference on Human Factors in Computing Systems. https://doi.org/10.1145/3491101.3516400
A. Feder Cooper, Emanuel Moss, Benjamin Laufer, and Helen Nissenbaum. 2022. Accountability in an Algorithmic Society: Relationality, Responsibility, and Robustness in Machine Learning. In 2022 ACM Conference on Fairness, Accountability, and Transparency (FAccT ’22). Association for Computing Machinery, New York, NY, USA, 864–876. https://doi.org/10.1145/3531146.3533150
Upol Ehsan, Ranjit Singh, Jacob Metcalf, and Mark Riedl. 2022. The Algorithmic Imprint. In 2022 ACM Conference on Fairness, Accountability, and Transparency (FAccT ’22). Association for Computing Machinery, New York, NY, USA, 1305–1317. https://doi.org/10.1145/3531146.3533186
Buchanan, E.A., & Zimmer, M. (2021). Internet Research Ethics. Stanford Encyclopedia of Philosophy. https://plato.stanford.edu/entries/ethics-internet-research/
Klassen, S., Kingsley, S., McCall, K., Weinberg, J., and Fiesler, C. (2021). More than a Modern Day Green Book: Exploring the Online Community of Black Twitter. Proceedings of the ACM on Human-Computer Interaction, CSCW (2021). https://doi.org/10.1145/3479602
Fiesler, C. Frauenberger, C., Muller, M., Vitak, J., and Zimmer, M. Research Ethics in HCI: A SIGCHI Community Discussion. ACM CHI Conference on Human Factors in Computing Systems. 2022.
Fiesler, C., Zimmer, M., Barocas, S., Chaintreau, A., & Smith, J. (2021). A Crash Course in Motivating, Supporting, and Expanding Ethical Thinking in the Tech Classroom. Presented at ACM Conference on Fairness, Accountability, and Transparency (FAccT). Virtual.
Fiesler, C., Zimmer, M., Kinder-Kurlanda, K., Metcalf, J., Moss, E., & Shilton, K. (2021). Engaging the Ethics of “Public” Data in Social Media Research. Presented at International Conference on Web and Social Media (ICWSM). Virtual.
Gilbert, S. A., Vitak, J., & Shilton, K. (2021). Measuring Americans’ Comfort with Research Uses of Their Social Media Data. Social Media + Society.
Proferes, N., Jones, N., Gilbert., S., Fiesler, C., Zimmer, Z. (2021). Studying Reddit: A Systematic Overview of Disciplines, Approaches, Methods, and Ethics. Social Media + Society, 7(2). https://doi.org/10.1177/20563051211019004
Shilton, K. (2021, April). Practicing (whose?) values: requirements engineering as a catalyst for technology justice. Presented at the 27th International Working Conference on Requirement Engineering: Foundation for Software Quality. Virtual.
Shilton, K. (2021, July). Levers for Ethics in Technology Design. Presented at IDC Design Seminar Series , Singapore University of Technology & Design-Massachusetts Institute of Technology International Design Center. Virtual.
Shilton, K. (2021, July). Pervasive Data, Elusive Trust: Rethinking Data Ethics for Researchers. Presented at the Center for Statistical Training and Consulting, Michigan State University. Virtual.
Zimmer, M. (2021, April). So You Want to Be a Tech Ethicist (No Scrubs edition). Presented at MozFest. Virtual.
Zimmer, M. (2021, April). The Challenge of Training in Big Data Ethics: Why is it Hard? Presented at Expanding Graduate Training in RCR: Big Data Ethics, University of Maryland. Virtual.
Anderson, B., & O’Brien, M. (2020, December 6). Despite promise, few in US adopting COVID-19 exposure apps. Associated Press (AP). Available: https://apnews.com/article/us-news-smartphones-coronavirus-pandemic-district-of-columbia-20aa29d9d018597e2e464128b529e928
Dodson, P. C. (2020, June 24). On K-Pop Fans, Political Activism, and the Necessity of Nuance. Teen Vogue. https://www.teenvogue.com/story/k-pop-fans-political-activism-necessity-of-nuance
Dym, B. & Fiesler, C. (2020). Ethical and Privacy Considerations for Research Using Online Fandom Data” In “Fan Studies Methodologies,” edited by Julia E. Largent, Milena Popova, and Elise Vist, Transformative Works and Cultures, 33. https://doi.org/10.3983/twc.2020.1733.
Fiesler, C. (2020). Being “Public” While Vulnerable: Recommendations for Platforms and Researchers. Workshop on Privacy and Power: Acknowledging the Importance of Privacy Research and Design for Vulnerable Populations at CHI 2020.
Fiesler, C., Beard, N., & Keegan, B. C. (2020). No Robots, Spiders, or Scrapers: Legal and Ethical Regulation of Data Collection Methods in Social Media Terms of Service. Proceedings of the International AAAI Conference on Web and Social Media, 14(1), 187-196. Retrieved from https://ojs.aaai.org/index.php/ICWSM/article/view/7290
Goddard, S. and Fiesler, C. (2020). Exploring Racial Diversity and Researcher Positionality in Ethical HCI Research. Workshop on Engaging Race in HCI at CHI 2020.
Hallinan, B., Brubaker, J. R., & Fiesler, C. (2020). Unexpected Expectations: Public Reactions to the Facebook Emotional Contagion Study. New Media & Society, 22(6). https://doi.org/10.1177/1461444819876944
Hargittai, E., Redmiles, E., Vitak, J., & Zimmer, M. (2020). Americans’ willingness to adopt a COVID-19 tracking app: The role of app distributor. First Monday, 25(11). https://doi.org/10.5210/fm.v25i11.11095
Kaeser-Chen, C., Dubois, E., Schüür, F., & Moss, E. (2020, January 27). Positionality-aware machine learning: translation tutorial. Presented at ACM FAccT Conference. Barcelona, Spain.
Keyes, O., Austin, J., & Zimmer, M. (2020). Autobiography of An Audit: Tracing the Roots and Repercussions of the HRT-Transgender Database. AoIR Selected Papers of Internet Research. https://doi.org/10.5210/spir.v2020i0.11249
Liao, Y., Mols, A., Vitak, J., Zimmer, M., Trottier, D., Kumar, P., & Pridmore, J. (2020, May). When does data collection and use become a matter of concern? A cross cultural comparison of American and Dutch people’s privacy attitudes. Paper presented at the 70th Annual International Communication Association (ICA) Conference, Gold Coast, Australia.
Lin, J., Milligan, I., Oard, D. W., Ruest, N., & Shilton, K. (2020, March 14). We could, but should we? Ethical considerations for providing access to GeoCities and other historical digital collections. CHIIR ’20: Proceedings of the 2020 Conference on Human Information Interaction & Retrieval. CHIIR ’20: 2020 Conference on Human Information Interaction & Retrieval, Vancouver, BC.
Maher, S. (2020, December 10). Contact Tracing Apps See Mixed Success In The Mountain West. The Mountain West News Bureau. Available: https://www.wyomingpublicmedia.org/post/contact-tracing-apps-see-mixed-success-mountain-west#stream/0
Mohr, D. C., Shilton, K., & Hotopf, M. (2020). Digital phenotyping, behavioral sensing, or personal sensing: Names and transparency in the digital age. Npj Digital Medicine, 3(1), 1–2. https://doi.org/10.1038/s41746-020-0251-5
Moss, E. (2020, July 6). Tech companies should make it someone’s job to think about ethics. Interview for NPR Marketplace Tech.
Moss, E. & Metcalf, J. (2020, April 29). Too Big a Word: What Does It Mean to Do “Ethics” in the Technology Industry? Data & Society Points Blog. https://points.datasociety.net/too-big-a-word-13e66e62a5bf
Moss, E. & Metcalf, J. (2020, May 1). Owning Ethics: Organizational Responsibility and the Institutionalization of Ethics in Silicon Valley. Presented at Stanford Institute for Human-Centered Artificial Intelligence Weekly Seminar. Stanford, CA.
Moss, E. & Metcalf, J. (2020, September 23). Ethics Owners: A New Model of Organizational Responsibility in Data-Driven Technology Companies. Data & Society. https://datasociety.net/library/ethics-owners/
Moss, E. & Metcalf, J. (2020, October 9). High Tech, High Risk: Tech Ethics Lessons for the COVID-19 Pandemic Response. Patterns. https://doi.org/10.1016/j.patter.2020.100102
Moss, E., Watkins, E. A., Metcalf, J., & Elish, M.C. (2020, May 28). Governing with Algorithmic Impact Assessments: Six Observations. SSRN.
Mueller, M., Aragon, C., Guha, S., Kogan, M., Neff, G., Seidelin, C., Shilton, K., Tanweer, A., (2020, October). Interrogating Data Science. Presented at CSCW 2020, ACM. Virtual.
Pater, J., Gilbert, S., Nobles, A., Zimmer, M., and Fiesler, C. (2020). Data is people: New challenges and tensions in social media research. In the AAAI International Conference on Web and Social Media (ICWSM). Atlanta, GA.
Salganik, M. J. et al. (2020). Measuring the predictability of life outcomes with a scientific mass collaboration. PNAS, 117(15). https://doi.org/10.1073/pnas.1915006117
Shilton, K., Heidenblad, D., Porter, A., Winter, S., & Kendig, M. (2020). Role-Playing Computer Ethics: Designing and Evaluating the Privacy by Design Simulation. Science and Engineering Ethics, 26(6), 2911–2926. https://doi.org/10.1007/s11948-020-00250-0
Shilton, K. (2020, February 18). Pervasive Data, Elusive Trust?: A Social Informatics Perspective. Presented at AAAS. Washington DC.
Shilton, K. (2020, September). Privacy and Ethics in a World of Volunteered Data. Presented at Federal Interagency Conference on Big Data and Social Science. Virtual.
Sloane, M., Moss, E., Awomolo, O., & Forlano, L. (2020, July 18). Participation is not a Design Fix for Machine Learning. Presented at ICML PAML Workshop. Vienna, Austria.
VanDerBill, B. (2020, June 9). Ease of voice recognition technology brings great risks. Digital Privacy News. https://digitalprivacy.news/2020/06/09/ease-of-voice-recognition-technology-brings-great-privacy-risks/
Vitak, J., & Shilton, K. (2020). Trust, privacy and security, and accessibility considerations when conducting mobile technologies research with older adults [Report prepared for the Steering Committee for Mobile Technology for Adaptive Aging]. National Academies of Sciences, Engineering and Medicine.
Vitak, J., Kumar, P., Liao, Y., & Zimmer, M. (2020, May). Feature creep or just plain creepy? How advances in “smart” technologies affect attitudes toward data privacy. Paper presented at the 70th Annual International Communication Association (ICA) Conference, Gold Coast, Australia.
Vitak, J. & Zimmer, M. (2020). More than just privacy: Using contextual integrity to evaluate the long-term risks from COVID-19 surveillance technologies. Social Media and Society.¬ https://doi.org/10.1177/2056305120948250
Wang, A., Narayanan, A., & Russakovsky, O. (2020). REVISE: A Tool for Measuring and Mitigating Bias in Visual Datasets. European Conference on Computer Vision.
Wong, R., Boyd, K., Metcalf, J., Shilton, K. (2020, October). Beyond Checklist Approaches to Ethics in Design. Presented at CSCW 2020, ACM. Virtual.
Wu, P., Vitak, J., & Zimmer, M. (2020). A contextual approach to information privacy research. JASIST, 71, 485-490. http://dx.doi.org/10.1002/asi.24232
Zimmer, M. (2020, March 4). Creating and Managing Big Data in 21st Century Research: Ethical Issues. Presented at the Annual Research Ethics Day Conference, University of Minnesota. Minneapolis, MN.
Zimmer, M. (2020, September). 5th Annual Marquette Ethics of Big Data Symposium. Milwaukee, WI.
Zimmer, M. (2020, November). Algorithmic Bias: Sources and Responses. Presented at Technology Ethics Center, University of Notre Dame. South Bend, IN.
Zimmer, M. & Chapman, E. (2020). Ethical Review Boards and Pervasive Data Research: Gaps and Opportunities. AoIR Selected Papers of Internet Research. https://doi.org/10.5210/spir.v2020i0.11369
Bietz, M. (2019, September 7). Visualization for Infrastructural Inversion. Presented at 4S 2019. New Orleans, LA.
Bietz, M., Metcalf, J., Shilton, K., Vitak, J., & Zimmer, M. (2019, April 2). The Pervasive Data Ethics Festivus! Presented at iConference 2019. College Park, MD.
Caplan-Bricker, N. (2019, March 11). The challenge of preserving the historical record of #MeToo. The New Yorker. https://www.newyorker.com/tech/annals-of-technology/the-challenge-of-preserving-the-historical-record-of-metoo?fbclid=IwAR2UlgqhROa3Wz-S-HaBtLDs730p3T7EtbDafn6R9hebUnw7SSbdtTZvkNA
Fiesler, C. (2019, February 27). Data is people: ethical considerations in data collection and use. Invited talk. Center for Values in Medicine. https://www.utdallas.edu/ah/events/detail.html?id=1220446282
Fiesler, C. (2019, March 19). Scientists Like Me Are Studying Your Tweets—Are You OK With That? How We Get to Next. https://howwegettonext.com/scientists-like-me-are-studying-your-tweets-are-you-ok-with-that-c2cfdfebf135
Fiesler, C. (2019, May 29). Data is people: ethical considerations in data collection and use. Invited talk. eScience Institute, University of Washington. Seattle, WA. https://escience.washington.edu/data-science-seminar-fiesler/
Fiesler, C. (2019, September 18). Three Lessons for Ethical Tech: Research Ethics, Ethics Education, and Broadening Participation in Computing. University of Colorado Computer Science Colloquium. Boulder, CO.
Fiesler, C. (2019, October 18). Three Lessons for Ethical Tech: Research Ethics, Ethics Education, and Broadening Participation in Computing. Stanford University HCI Seminar Series. Palo Alto, CA.
Fiesler, C. (2019, November 16). Can I Use That?! Ethics, Law, and Norms for Other People’s Data. Invited talk. Carnegie Mellon HCI Institute. https://hcii.cmu.edu/news/seminar/event/2018/11/can-i-use-ethics-law-and-norms-other-peoples-data
Fiesler, C. (2019, December). Ethical Considerations for Research Involving (Speculative) Public Data. Proceedings of the ACM on Human-Computer Interaction, 3(249), pp. 1–13 https://doi.org/10.1145/3370271
Fussell, S. (2019, June 27). You No Longer Own Your Face. The Atlantic. https://www.theatlantic.com/technology/archive/2019/06/universities-record-students-campuses-research/592537/
Garrett, N. & Fiesler, C. (2019, May 27). What do we talk about when we talk about tech ethics? Computer Ethics–Philosophical Enquiry (CEPE). Norfolk, VA. https://sites.wp.odu.edu/cepe2019/
Gelardi, L. (2019, January 22). Facebook aging challenge got us thinking about how to clear history on social media. ABC News 7 (TV). https://www.thedenverchannel.com/news/local-news/facebook-aging-challenge-got-us-thinking-about-how-to-clear-history-on-social-media
Hu, J. C. (2019, June 3). Should researchers be allowed to use YouTube videos and tweets? Slate. https://slate.com/technology/2019/06/youtube-twitter-irb-human-subjects-research-social-media-mining.html
Hu, J. C. (2019, July 17). Say hello to dog facial recognition technology. Slate.
Hu, J. C. (2019, October 25). How well does the Pixel 4’s voice recognition work? Slate.
Jones, N. (2019, February 21). Maryland bill seeks to prohibit using DNA databases to solve crime. Associated Press.
Kim, M. (2019, October 12). We asked the experts: Do Alexa’s new privacy tools go far enough? The Ambient.
Kinder-Kurlanda, K. & Zimmer, M. (2019, June 20). Web Research Ethics: Confidentiality, Consent, Data Integrity & More. Presented at WebSci 2019. Boston, MA.
Lazar, J., Kushalnagar, R. S., Fiesler, C., & Giannoumis, G. A. (2019, May). Introduction to Legal Issues in Human-Computer Interaction. CHI EA ’19: Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems, C21, pp. 1-5. https://doi.org/10.1145/3290607.3298818
Liao, Y., Vitak, J., Kumar, P., Zimmer, M., & Kritikos, K. (2019). Understanding the role of privacy and trust in intelligent personal assistant adoption. Proceedings of the 13th Annual iConference, Lecture Notes in Computer Science, volume 11420 (pp. 102-113). https://doi.org/10.1007/978-3-030-15742-5_9
Metcalf, J. (2019, January 17). WiseTalk with Sue Bethanis and guest Jake Metcalf. http://ethicalresolve.com/listen-to-wisetalk-with-sue-bethanis-and-guest-jake-metcalf/
Metcalf, J. (2019, February 19). Translation Tutorial: Engineering for Fairness: How a Firm Conceptual Distinction between Unfairness and Bias Makes it Easier to Address Un/Fairness In Proceedings of Machine Learning Research. ACM FAT* Conference. New York, NY.
Metcalf, J. (2019, March 5). Unexpected Forms of Risk in Data/AI Research. Office of Human Research Protections, Privacy & Health Research in a Data-Driven World: 2019 OHRP Exploratory Workshop. https://www.hhs.gov/ohrp/education-and-outreach/exploratory-workshop/2019-workshop/index.html.
Metcalf, J., Moss, E., & boyd, d. (2019). Owning Ethics: Corporate Logics, Silicon Valley, and the Institutionalization of Ethics. Social Research: An International Quarterly, 86(2), pp. 449-476. muse.jhu.edu/article/732185
Metcalf, J & Moss, E. (2019, October 3). Assessing Algorithmic Impacts. Presented at REAL ML. Berlin, Germany.
Moss, E. (2019, September 2). Becoming FAT: The Formation of Algorithmic Fairness, Accountability, and Transparency. Presented at 4S. New Orleans, LA.
Moss, E. & Metcalf, J. (2019, November 14). The Ethical Dilemma at the Heart of Big Tech Companies. Harvard Business Review. https://hbr.org/2019/11/the-ethical-dilemma-at-the-heart-of-big-tech-companies
Moss, E. & Metcalf, J. (2019, December 13). Minding the Gap: Between Fairness and Ethics. Presented at NeurIPS. Vancouver, BC.
Moss E. & Schuur, F. (2019, November 9). Tutorial: Ethics in Data-Driven Industries. Presented at EPIC Conference. Providence, RI
Munteanu, C., Bruckman, A., Muller, M., Frauenberger, C., Fiesler, C., Kraut, R. E., Shilton, K., & Waycott, J. (2019). SIGCHI Research Ethics Town Hall. Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems, 1–6. https://doi.org/10.1145/3290607.3311742
Muralikumar, M. D., & Bietz, M. J. (2019, November). Visualizing Algorithmic Selection in Social Media. In Conference Companion Publication of the 2019 on Computer Supported Cooperative Work and Social Computing, pp. 319-323.
Narayanan, A. (2019). How to recognize AI Snake oil. Presented at the Arthur Miller Lecture on Science and Ethics, MIT STS. Cambridge, MA.
Nicholas, J., Shilton, K., Schueller, S. M., Gray, E. L., Kwasny, M. J., & Mohr, D. C. (2019). The Role of Data Type and Recipient in Individuals’ Perspectives on Sharing Passively Collected Smartphone Data for Mental Health: Cross-Sectional Questionnaire Study. JMIR MHealth and UHealth, 7(4), e12578. https://doi.org/10.2196/12578
Reuter, K., Zhu, Y., Angyan, P., Le, N., Merchant, A., & Zimmer, M. (2019, October). Public Concern About Monitoring Twitter Users and Their Conversations to Recruit for Clinical Trials: Survey Study. Journal of Medical Internet Research, 21(10). doi:10.2196/15455
Shilton, K. (2019, May). Challenges where Standards Design Meets Human Rights. Presented at the Symposium on Designing an Ethical Web, The Web Conference (WWW). San Francisco, CA.
Shilton, K. (2019, November 17). (Re)Building Trust in Pervasive Data Research. Presented at PRIM&R’s 2019 Social, Behavioral, and Educational Research Conference. New Orleans, LA.
Snyder, J., & Shilton, K. (2019). Spanning the Boundaries of Data Visualization Work: An Exploration of Functional Affordances and Disciplinary Values. Proceedings of the 2019 iConference. College Park, MD: IEEE.
Soden, R., Skirpan, M., Fiesler, C., Ashktorab, Z., Baumer, E. P. S., Blythe, M., & Jones, J. (2019, May). CHI4EVIL: Creative Speculation on the Negative Impacts of HCI Research. CHI EA ’19: Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems, W29, pp. 1-8. https://doi.org/10.1145/3290607.3299033
Vitak, J. (2019, March 8). Presidential Symposium: Ethics Working Group Presents: Connecting Behavioral Health, mHealth, and Social Media through Ethics, Values, and Taking Action. Washington Hilton in Washington, DC. https://www.sbm.org/UserFiles/file/am19-pro-v12.pdf
Vitak, J. (2019, March 21). Privacy, security, and ethical challenges in the era of big data. Invited speaker. Cornell Tech, New York, NY.
Vitak, J. (2019, May 30). Researching Pervasive Data Ethics: Taking a Collaboratory Approach. Invited speaker. Rockville, MD.
Vitak, J. (2019, September 12). Existing Models and Inspiring New Networks-of-Networks: Lessons from interdisciplinary networks at the University of Maryland. Invited speaker. SESYNC Networks of Networks Workshop.
Vitak, J. (2019, October 18). Pervasive data ethics: What researchers, IRBs, and end-users think about data collection and analysis practices. Seminar speaker at Computer Science Department, Virginia Tech.
Vitak, J., Shilton, K., & Gilbert, S. (2019, July). Trends in trust: Measuring Americans’ expectations for trustworthy research use of social media data. Work in Progress paper presented the 2019 International Conference on Social Media and Society (#SMSociety), Toronto, Ontario, Canada.
Walsh, J. D. (2019, August 27). Ten years on, Foursquare is now checking in to you. Even the company is still trying to figure out whether that’s “cool or creepy.” New York Magazine. http://nymag.com/intelligencer/2019/08/ten-years-on-foursquare-is-now-checking-in-to-you.html
Zimmer, M. (2019, May 1). Pervasive Data Ethics for Computational Research. Presented at Ethics of Big Data Symposium, Northwest Mutual Data Science Institute. Milwaukee, WI.
Zimmer, M. (2019, May 2). Computer Experts Discuss The Balancing Act Of Big Data & Ethics. WUWM Milwaukee Public Radio.
Zimmer, M. (2019, September 19). IRBs and Big Data Research Ethics. Presented at the OHRP Exploratory Workshop on “Privacy & Health Research in a Data-Driven World.” Bethesda, MD.
Zimmer, M. & Moss, E. (2019, November 10). Ethical AI Starts with the Data. Presented at CSCW. Austin, TX.
Beard, N. & Fiesler, C. (2018, September 23). 21st Century Digital Democracy Needs a New Contract. The Internet, Policy & Politics Conference 2018. Oxford, London, UK. https://blogs.oii.ox.ac.uk/policy/ipp-conference/
Caplan-Bricker, N. (2018, December 1). Preservation Acts: Toward an ethical archive of the web. Harper’s Magazine. https://harpers.org/archive/2018/12/preservation-acts-archiving-twitter-social-media-movements/
Dreyfuss, E. (2018, August 1). The Sadness of Deleting Your Old Tweets. Wired. Retrieved from https://www.wired.com/story/the-sadness-of-deleting-old-tweets/
Duong, Y. (2018, August 22). Your Twitter could help NC State study nuclear activity. What are the ethics? Raleigh News & Observer. https://www.newsobserver.com/news/local/article216834170.html
Dym, B. & Fiesler, C. (2018, November 3-7). Vulnerable and Online: Fandom’s Case
for Stronger Privacy Norms and Tools. CSCW ’18 Companion. Jersey City, NJ.
Etter, N. (2018, February 26). Study examines ethics of researchers using big data. UWM REPORT. http://uwm.edu/news/big-data-ethics/
Fiesler, C. (2018, March). Data is People: Ethical Considerations in Data Collection and Use. Presented at the NC State Institute for Advanced Analytics, North Carolina.
Fiesler, C. (2018, May). Ethics for Online Communities Research. Bentley University.
Fiesler, C. (2018, August). Data is People: Ethical Considerations in Data Collection and Use (speaker). Presented at the Summer Institute in Computational Social Science, Boulder Colorado. Retrieved from https://compsocialscience.github.io/summer-institute/2018/boulder/
Fieslier, C. (2018, December 5). What Our Tech Ethics Crisis Says About the State of Computer Science Education. How We Get to Next. https://howwegettonext.com/what-our-tech-ethics-crisis-says-about-the-state-of-computer-science-education-a6a5544e1da6
Fiesler, C., Bruckman, A., Kraut, R. E., Muller, M., Munteanu, C., & Shilton, K. (2018, October). Research Ethics and Regulation: An Open Forum. CSCW ’18: Companion of the 2018 ACM Conference on Computer Supported Cooperative Work and Social Computing, pp. 125-128. https://doi.org/10.1145/3272973.3274543
Fiesler, C., Hancock, J., Bruckman, A., Muller, M., Munteanu, C., & Densmore, M. (2018). Research Ethics for HCI: A Roundtable Discussion. In Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems (p. panel05:1–panel05:5). New York, NY, USA: ACM. https://doi.org/10.1145/3170427.3186321
Fiesler, C., & Proferes, N. (2018). “Participant” Perceptions of Twitter Research Ethics. Social Media + Society, 4(1), 2056305118763366. https://doi.org/10.1177/2056305118763366
Fiesler, C., Shilton, K., Zimmer, M., & Vitak, J. (2018, June). Exploring Ethical Trade-Offs in Social Media Research. Presented at the ICWSM 2018, Stanford, California. Retrieved from https://sociotechethics.wordpress.com/icwsm-2018/
Fiesler, C., Shilton, K., Zimmer, M., & Vitak, J. (2018, June 25). Exploring Ethical Trade-Offs in Social Media Research. ICWSM 2018, Stanford, California. https://sociotechethics.wordpress.com/icwsm-2018/
Greengard, S. (2018, November 6). The New Face of Law Enforcement. Communications of the ACM. https://cacm.acm.org/news/232505-the-new-face-of-law-enforcement/fulltext
Koerth-Baker, M. (2018, July 26). Your Tweets Are Somehow Worthy Of Scientific Study. FiveThirtyEight. Retrieved from https://fivethirtyeight.com/features/your-tweets-are-somehow-worthy-of-scientific-study/
Landgraf, G. (2018, September 4). Data Collection and Privacy: Balancing information needs with patron protection. American Libraries. https://americanlibrariesmagazine.org/2018/09/04/data-collection-privacy-learning-analytics/
Martin, K., & Shilton, K. (2018). Mobile privacy expectations: How privacy is respected in mobile devices. The Cambridge Handbook of Consumer Privacy, pp 85-101. https://doi.org/https://doi.org/10.1017/9781316831960.005
Narayanan, A., & Lundberg, I. (2018, August). Privacy, Ethics, and Computational Social Science: A Case Study of the Fragile Families Challenge. Presented at the American Sociological Association, Philadelphia.
Metcalf, J. (2018, August 16). Super Panel: AI & Ethics. Presented at Katapult Fest. Oslo, Norway.
Metcalf, J. (2018, November 15). IRB Review of Big Data Research. Presented at PRIM&R AER 2018. San Diego, CA.
Metcalf, J. (2018, November 24). Build to solve values problems, not just technical problems. Presented at 2018 Unintended Consequences of Technology (#UCOT). San Francisco, CA.
Shilton, K. (2018). Values and Ethics in Human-Computer Interaction. Foundations and Trends® Human–Computer Interaction, 12(2), 107–171. https://doi.org/10.1561/1100000073
Shilton, K. (2018, February). Privacy & Pervasive Sensing:Frameworks for design. Presented at the UCLA Depression Grand Challenge, Los Angeles, California. Retrieved from https://grandchallenges.ucla.edu/happenings/2018/05/15/ucla-depression-grand-challenge-inaugural-symposium-a-success/
Shilton, K. (2018, March). Intervening in big data futures: Values, practices, and tools for pervasive ethics. Presented at the School of Information Colloquium, Austin, Texas. Retrieved from https://www.ischool.utexas.edu/content/colloquium-katie-shilton-university-maryland
Shilton, K. (2018, June). Intervening in big data futures: Values, practices, and tools for pervasive ethics. Presented at the CAIS, Regina, Saskatchewan. Retrieved from https://www.congress2018.ca/calendar/1314
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