“Critical Infrastructure Studies — An Overview.” King’s College, London, 21 June 2021, 5:10-5:50 pm London time. Keynote lecture for the “Infrastructural Interventions” workshop in the Digital Humanities & Critical Infrastructure Studies series organized by Urszula Pawlicka-Deger. (Delivered by Microsoft Teams meeting: registration [TBD].)
- Abstract: In this talk, Alan Liu provides an introduction to “critical infrastructure studies” and the place of the digital humanities in it. What have been the main approaches to infrastructure that today make the topic of such compelling socio-political, technological, media-informatic, cultural, historical, and artistic interest across the disciplines? How are the digital humanities positioned in relation to those approaches; and what is “critical” about that relation?
- Useful links for citations and other material mentioned in the talk:
“WhatEvery1Says: Data Mining Media Coverage of the Humanities.” The Education University of Hong Kong, 8 April 2021.
“WhatEvery1Says: Data Mining Media Coverage of the Humanities.” Digital Tools for Interdisciplinary Humanities Research Workshop Series, Public Humanities Design Studio, University of California, Merced, 15 March 2021.
“Writing Data: Literary Scholars and New Forms of Public Writing.” Panel on “Public Humanities in the Age of Precarity, Modern Language Association convention (virtually presented panel), 7 January 2021.
“Critical Infrastructure Studies — A Primer.” Furman University, 12 November 2020, 1:30-2:30 pm Pacific time (4:30-5:30 Eastern time). (Lecture delivered by Zoom webinar: registration.)
- Abstract: What have been the main approaches to the study of infrastructure that now combine to make the topic of such compelling socio-political, technological, media-informatic, cultural, historical, and artistic interest across the disciplines? In this talk, Alan Liu provides an introduction to “critical infrastructure studies,” focusing on why multi-disciplinary perspectives–sometimes tensely divergent in their premises even when converging to make, for example, a “bridge” or a “barrier”–are needed to imagine good infrastructure as the foundation for “good systems.”
- Useful links for citations and other material mentioned in the talk:
“Friending the Past: The Sense of History in the Digital Age — A Virtual Talk.” History Department, U. California, Santa Barbara (4 May 2020, 11:00 AM-12:00 PM, Pacific Daylight Time) (Zoom meeting information sent after request through this form.)
- Abstract: Can today’s society, increasingly captivated by a constant flow of information, share a sense of history? How did our media-making forebears balance the tension between the present and the absent, the individual and the collective, the static and the dynamic—and how do our current digital networks disrupt these same balances? Can our social media, with its fleeting nature, even be considered social at all? In Friending the Past, Alan Liu proposes fresh answers to these innovative questions of connection. He explores how we can learn from the relationship between past societies whose media forms fostered a communal and self-aware sense of history. Interlaced among these inquiries, Liu shows how extensive ‘network archaeologies’ can be constructed as novel ways of thinking about our affiliations with time and with each other.
- Video recording of this talk (47 min.)
“Humans in the Loop: Humanities Hermeneutics and Machine Learning.” Keynote for DHd2020 (7th Annual Conference of the German Society for Digital Humanities), University of Paderborn, 6 March 2020.
- Abstract: As indicated by the emergent research fields of computational “interpretability” and “explainability,” machine learning creates fundamental hermeneutical problems. One of the least understood aspects of machine learning is how humans learn from machine learning. How does an individual, team, organization, or society “read” computational “distant reading” when it is performed by complex algorithms on immense datasets? Can methods of interpretation familiar to the humanities (e.g., traditional or poststructuralist ways of relating the general and the specific, the abstract and the concrete, the structure and the event, or the same and the different) be applied to machine learning? Further, can such traditions be applied with the explicitness, standardization, and reproducibility needed to engage meaningfully with the different Spielräum – scope for “play” (as in the “play of a rope,” “wiggle room,” or machine-part “tolerance”) – of computation? If so, how might that change the hermeneutics of the humanities themselves?
In his keynote lecture, Alan Liu uses the example of the formalized “interpretation protocol” for topic models he is developing for the Mellon Foundation funded WhatEvery1Says project (which is text-analyzing millions of newspaper articles mentioning the humanities) to reflect on how humanistic traditions of interpretation can contribute to machine learning. But he also suggests how machine learning changes humanistic interpretation through fresh ideas about wholes and parts, mimetic representation and probabilistic modeling, and similarity and difference (or identity and culture).
- Video of lecture
“The WhatEvery1Says (WE1S) Project.” Mellon Research Forum Convening, University of California, Irvine, January 31, 2020.
“Dialogue between Alan Liu (UC Santa Barbara), Tim Hitchcock (U. Sussex), and Jessica Otis (George Mason U.).” Fourth Annual Conference on Digital Humanities and Digital History at the German Historical Institute. Washington, D.C., 12 October 2019.
“Critical Infrastructure Studies — A Primer.” University of Texas at Austin, 4 September 2019.
- Abstract: What have been the main approaches to the study of infrastructure that now combine to make the topic of such compelling socio-political, technological, media-informatic, cultural, historical, and artistic interest across the disciplines? In this talk, Alan Liu provides an introduction to “critical infrastructure studies,” focusing on why multi-disciplinary perspectives–sometimes tensely divergent in their premises even when converging to make, for example, a “bridge” or a “barrier”–are needed to imagine good infrastructure as the foundation for “good systems.” In the case of the University of Texas “Bridging Barriers” Grand Challenges initiative, for example, how many different ways are there to understand what a bridge or a barrier is good for (and for whom)?
- Citations for the works in the “primer” included in the talk: bit.ly/cistudies-primer
“What Infrastructure Assumes: Digital Humanities and Critical Infrastructure Studies.” U. Guelph, 7 March 2019.
“Digital Humanities Learning Goals for Undergraduates.” U. Colorado, Boulder, 22 February 2019.
“What Infrastructure Assumes: Digital Humanities and Critical Infrastructure Studies.” The Graduate Center, City University of New York (CUNY), 15 February 2019.
“Critical Infrastructure Studies — A Primer.” Initial talk of a pair of presentations by Alan Liu and James Smithies. Humanities Research Center, Rice University, 24 January 2019.
“The WhatEvery1Says Project — An Overview.” Panel on the WhatEvery1Says Project, U. Miami, 17 January, 2019.
“Open and Reproducible Workflows for the Digital Humanities–A 35,000-foot Elevation View.” Keynote at the Digital Bridges Symposium (Digital Bridges for Humanistic Inquiry project), University of Iowa and Grinnell College, 10 August 2018.
“Romanticism and Critical Infrastructure Studies.” Introduction to seminar co-led with Jacques Khalip on “Romanticism and Critical Infrastructural Studies.” NASSR 2018, Brown University, 22 June 2018.
“‘Humanities digital cultural tools . . . technology computing culture society’ — James Smithies’s The Digital Humanities and the Digital Modern.” Book Launch for James Smithies’s The Digital Humanities and the Digital Modern, King’s College, London, 29 March 2018.
“Scoping Critical Infrastructure Studies.” Critical Infrastructures Studies Seminar, King’s College, London, 29 March 2018.
“Open and Reproducible Workflows for the Digital Humanities–A 10,000 Meter Elevation View.” Digital Humanities in the Nordic Countries Convention 2018. University of Helsinki, 7 March 2018.
- Abstract: Can digital humanities projects that collect, analyze, and interpret texts and other materials make their provenance and data workflows transparent to others for reproduction or adaptation? How can the digital humanities learn from the workflow management systems of the “in silico” sciences? And how should they be different from the sciences? Ultimately, what is the combined humanistic and scientific meaning of open research—epistemological, infrastructural, institutional, and sociocultural–to which DH contributes? Extrapolating from the example of the “WhatEvery1Says” (WE1S) project, which he directs, Alan Liu offers a general humanistic vision of open, reproducible workflows for the digital humanities.
- Video of this keynote talk (35 min.) taken from the audience by Timo Honkela (@THonkela).
“Introduction to Critical Infrastructure Studies.” Panel on Critical Infrastructure Studies, Modern Language Association convention, New York, 6 January 2018.
“Digital Humanities Diversity as Technical Problem.” Modern Language Association convention, New York, 5 January 2018.
- Excerpt: “Among other things, in other words, diversity is a technical problem. What’s next is for DH to help make advances in the technical platforms and methods for understanding–and also changing our understanding–of diversity née variety (two words with a common root but increasingly different meanings). That will require collaborating with the social sciences, information science, computer science, in silico STEM sciences, non-profits such as DataKind and ProPublica, and also Silicon Valley industry to foster a virtuous circle in which technical innovation drives the understanding of diversity, and the understanding of diversity drives technical innovation. Inasmuch as DH has a unique, as opposed to follow-on, contribution to make to cultural criticism (about which I asked some years ago), I think the techne of diversity may be it.”
“What Infrastructure Assumes.” The Futures of Literature, Science, and Media: A Symposium Honoring Professor N. Katherine Hayles. Duke University. 17 November 2017.
- Abstract: In this talk, Alan Liu sketches the context and current methods of “critical infrastructure studies,” then proposes a “verb first” way of discussing infrastructure that rethinks the nature of infrastructural agency and its mode of “being” in the world. Infrastructure is assumed, but it also assumes.
“WhatEvery1Says About the Humanities.” Panel on “What Crisis?: Mobilizing the Humanities Through Data.” National Humanities Conference, 3 November 2017, Boston.
“Overview: Open, Shareable, Reproducible Workflows for the Digital Humanities.” Panel on “Open, Shareable, Reproducible Workflows for the Digital Humanities: The Case of the 4Humanities.org ‘WhatEvery1Says’ Project.” Digital Humanities 2017 conference, 11 August 2017, Montreal.