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Scientific Research and Big Data
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Author: N/A; Publisher: Stanford Encyclopedia of Philosophy; Publication Year: 2020. The following resource is primarily focused on the way that big data and machine learning algorithms has changed the process of knowledge generation. At the end it explores the ethical constraints that arise from these developments. Aside from the usual concerns about discrimination, the article…
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Data Experts as the Balancing Power of Big Data Ethics
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Author: Richard Novak; Publisher: ProQuest; Publication Year: 2021. The following source discusses how although Big Data requires prioritization of social responsibility and adherence to data ethics, these areas tend to be understaffed. The 3 major stakeholder groups in Big Data include data-rich organizations, data-poor users, and data experts, where data experts play a major role…
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Big Data Ethics: Redefining Values in the Digital World
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Author: N/A; Publisher: Thomson Reuters; Publication Year: N/A. The following article discusses how there are additional ethical challenges that come into play when working with Big Data. Since there are so many observations being brought in, and often times this is an automated process with data being refreshed rapidly, ethics are often ignored so as…
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The Ethics of Big Data: Current and Foreseeable Issues in Biomedical Contexts
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Author: Brent Daniel Mittelstadt, Luciano Floridi; Publisher: National Library of Medicine; Publication Year: 2015. The following paper provides an ethical assessment of emerging Big Data practices and a framework for governance. The authors discuss 2 main ideas: epistemology and the big data gap. The big data gap describes how small companies are unable to compete…
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Racial Equity and Data Science
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Author: MIT IDSS; Publisher: MIT Political Science; Publication Year: 2022. The following article features the Research Initiative on Combating Systematic Racism (ICSR) who’s goal is to seed and coordinate research used to identify racially discriminatory processes across American Institutions. The focus is to use big data to create computational tools that will make a change…
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Social Media, Big Data, and Mental Health: Current Advances and Ethical Implications
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Author: Mike Conway, Daniel O’Connor; Publisher: Current Opinion in Psychology; Publication Year: 2016. The following article discusses how social media big data being combined with natural language processing (NLP) technology can address public health research questions. Mental health is the fifth greatest contributor to the global burden of disease. Population mental health systems require strengthening…
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OkCupid Study Reveals the Perils of Big-Data Science
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Author: Michael Zimmer; Publisher: Wired; Publication Year: 2016. The following article describes how a group of Danish researchers publicly released a dataset of nearly 70,000 OkCupid users, including usernames, age, gender, location, the type of relationship (or sex) they are looking for, personality traits, and answers to thousands of profiling questions used by the site.…
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A Face Is Exposed for AOL Searcher No. 4417749
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Author: Michael Barbaro, Tom Zeller Jr.; Publisher: The New York Times; Publication Year: 2006. The following article discusses how in 2006, AOL purposefully released 20 million anonymized search queries that had been made over a 3-month span. The company removed personally identifiable information (PII), but assigned a unique user-ID to the queries. It took researchers…
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Philosophy of Big Data: Expanding the Human-Data Relation with Big Data Science Services
Author: Melanie Swan; Publisher: Research Gate; Publication Year: N/A. The following article discusses the Philosophy of Big Data which is a branch of philosophy that is concerned with the foundations, methods, and implications of big data. At the moment, the uses of big data and its nature lead to worries; can this giant amalgamation of…
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Considerations for Ethics Review of Big Data Health Research: A Scoping Review
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Author: Marcello Ienca, Agata Ferretti, Samia Hurst, Milo Puhan, Christian Lovis, Effy Vayena; Publisher: National Library of Medicine; Publication Year: 2018. The following article discusses how big data trends in biomedical and health research enable large-scale and multi-dimensional aggregation and analysis of heterogeneous data sources, which could ultimately result in preventive, diagnostic and therapeutic benefit.…
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