This final project combines key CS1 programming concepts with ethical analysis. It helps students gain experience with lists, dictionaries, for/while loops, conditional statements, file handling, and functions in Python. Through a data analysis and visualization task, the students put to action their prior knowledge of the aforementioned programming concepts, embedded with an ethics-led discussion of open source data. Open source data (or "open data") is data that is available and accessible to anyone, including for reuse of the data [8]. Students will learn how to think critically about the ethical dimensions of their selected open source data (and future open source data), and provide an analysis of the data within its contemporary cultural context.
Educational-resources Downloads
This zip contains the supplemental materials for this article.
- Sara Baase. 2012. A gift of fire. Pearson Education Limited.Google Scholar
- Geoffrey C Bowker and Susan Leigh Star. 2000. Sorting things out: Classification and its consequences. MIT press.Google ScholarDigital Library
- Emanuelle Burton, Judy Goldsmith, Nicholas Mattei, Cory Siler, and Sara-Jo Swiatek. 2023. Computing and Technology Ethics: Engaging through Science Fiction. MIT Press.Google Scholar
- Catherine D'ignazio and Lauren F Klein. 2020. Data feminism. MIT press.Google Scholar
- Timnit Gebru, Jamie Morgenstern, Briana Vecchione, Jennifer Wortman Vaughan, Hanna M. Wallach, Hal Daumé III, and Kate Crawford. 2018. Datasheets for Datasets. CoRR abs/1803.09010 (2018). arXiv:1803.09010 http://arxiv.org/abs/1803.09010Google Scholar
- Manissa M Maharawal and Erin McElroy. 2018. The anti-eviction mapping project: Counter mapping and oral history toward bay area housing justice. Annals of the American Association of Geographers 108, 2 (2018), 380--389.Google ScholarCross Ref
- Jacob Metcalf and Kate Crawford. 2016. Where are human subjects in big data research? The emerging ethics divide. Big Data & Society 3, 1 (2016), 2053951716650211.Google ScholarCross Ref
- Jennifer C Molloy. 2011. The open knowledge foundation: open data means better science. PLoS biology 9, 12 (2011), e1001195.Google Scholar
- Mimi Onuoha. 2016. The Library of Missing Datasets. Mixed-media installation. https://mimionuoha.com/the-library-of-missing-datasetsGoogle Scholar
- Mimi Onuoha. 2016. The point of collection. Data & Society: Points (2016).Google Scholar
- Kenny Peng, Arunesh Mathur, and Arvind Narayanan. 2021. Mitigating dataset harms requires stewardship: Lessons from 1000 papers. arXiv preprint arXiv:2108.02922 (2021).Google Scholar
- Tonia Poteat, Danielle German, and Colin Flynn. 2016. The conflation of gender and sex: Gaps and opportunities in HIV data among transgender women and MSM. Global public health 11, 7-8 (2016), 835--848.Google Scholar
- Joanna Radin. 2017. "Digital Natives": how medical and indigenous histories matter for big data. Osiris 32, 1 (2017), 43--64.Google ScholarCross Ref
- Ergys Ristani, Francesco Solera, Roger Zou, Rita Cucchiara, and Carlo Tomasi. 2016. Performance measures and a data set for multi-target, multi-camera tracking. In European conference on computer vision. Springer, 17--35.Google ScholarCross Ref
- Jack W Smith, James E Everhart, WC Dickson, William C Knowler, and Robert Scott Johannes. 1988. Using the ADAP learning algorithm to forecast the onset of diabetes mellitus. In Proceedings of the annual symposium on computer application in medical care. American Medical Informatics Association, 261.Google Scholar
Index Terms
- A CS1 Open Data Analysis Project with Embedded Ethics
Recommendations
Similarities of open data and open source: impacts on business
What are the similarities of open data and open source software when building a business? Despite their differences as phenomena (one is about applications and one is about data), the two also have many similarities. Both for example share the idea that ...
The single-vendor commercial open course business model
Single-vendor commercial open source software projects are open source software projects that are owned by a single firm that derives a direct and significant revenue stream from the software. Single-vendor commercial open source at first glance ...
Open source software licenses: Strong-copyleft, non-copyleft, or somewhere in between?
Studies on open source software (OSS) have shown that the license under which an OSS is released has an impact on the success or failure of the software. In this paper, we model the relationship between an OSS developer's utility, the effort that goes ...