August 29: From Profusions of Papers + Pictures to Data Deluge

McArthur Binion, Modern:Ancient:Brown at Lehmann Maupin, photo by me

INTRODUCTION + ORIENTATION

Thus far, 2017 has been an epistemological minefield. Between alternative facts and filter bubbles, leaking and doxxing, Twitter rants and conspiracy theories, and threatened cuts for libraries and climate research, it’s difficult to discern what forms of knowing (if any) our current administration values.

Today, as we preview the various themes and concepts we’ll be exploring throughout the semester, we’ll also consider how these concerns are particularly resonant – and of critical importance – in our contemporary climate: political, cultural, socioeconomic, and ecological. Issues of privacy, visibility, and representation; of veracity and credibility; of accessibility and sustainability: all are pertinent to the realms of information management, scholarship, creative production, cultural politics, and beyond. What role can, or should, our knowledge infrastructures – both official institutions and informal, “rogue” activities; both “Big Data” and modest community archives – play in cultivating a better educated, more equitable, more just society? A society that recognizes the value of learning and compassion and aesthetic pleasure?

We’ll start thinking about these questions today, and continue our investigation throughout the semester.

Here are our slides for the day’s class.

Safe Haven Ophanage Library, Burma, via Pasi Aalto / Tyin Tegnestue, via ArchDaily

SUPPLEMENTAL RESOURCES

Ann Blair, “Information Overload, Then and Now,” The Chronicle Review (November 28, 2010); Ann Blair, Too Much to Know: Managing Scholarly Information Before the Modern Age (New Haven: Yale University Press, 2010); danah boyd and Kate Crawford, “Critical Questions for Big Data,” Information, Communication and Society 15:5 (2012): 662-79; John Seely Brown & Paul Duguid, The Social Life of Information (Boston: Harvard Business School Press, 2000); “The Data DelugeThe Economist (25 February 2010); “Data, Data Everywhere” Special Report The Economist (25 February 2010); Rob Kitchin, “Big Data, New Epistemologies and Paradigm Shifts,” Big Data & Society (April – June, 2014): 1-12;  Rob Kitchin, The Data Revolution: Big Data, Open Data, Data Infrastructures and Their Consequences (Thousand Oaks, CA: Sage, 2014); Rob Kitchin and Gavin McArdle, “What Makes Big Data, Big Data? Exploring the Ontological Characteristics of 26 Datasets,” Big Data & Society 3:1 (February 2016): 1-10; Daniel Letvin, The Organized Mind: Thinking Straight in the Age of Information Overload (New York: Dutton, 2014); Shannon Mattern, “Public In/Formation,” Places Journal (November 2016); Open Scholarship Initiative, Report from the Information Overload Workgroup (June 23, 2016);Hamish Robertson and Joanne Travaglia, “Big Data Problems We Face Today Can Be Traced to the Social Ordering Practices of the 19th Century,” LSE Impact Blog (October 13, 2015); Daniel Rosenberg, “Early Modern Information Overload,” Journal of the History of Ideas 64:1 (January 2003): 1-9; Clay Shirky, “It’s Not Information Overload, It’s Filter Failure” {video} O’Reilly Web 2.0 Expo NY (2008); Richard Saul Wurman, Information Anxiety 2 (Que, 2000); Ilkka Tuomi, “Data Is More than Knowledge: Implications of the Reversed Knowledge Hierarchy,” Journal of Management Information Systems 16:3 (Winter 1999/2000): 103-17; Chaim Zins, “Conceptual Approaches for Defining Data, Information, and Knowledge” Journal of the American Society for Information Science and Technology 58:4 (January 2007): 479-93.

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