Megan Finn

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Associate Professor

American University
Country flagUnited States

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About

Megan Finn is an Associate Professor at American University, United States. Her research focuses on anticipatory infrastructures, data governance, and the ethical implications of computing cultures. Recent articles explore themes such as the epistemologies of missing data during COVID-19, the dynamics of journalism's future narratives, and the interplay between data access policies and legislative frameworks. Her work contributes significantly to the understanding of how technology shapes societal and ethical landscapes.

Recent Grants

Grant: Close

Collaborative Research: ER2: The development of research ethics governance projects in computer science

Open Date: 2023-04-01

Close Date: 2026-03-31

Grant: Close

RAPID International Type I: Collaborative Research: COVID Data Infrastructure Builders: Creating Resilient and Sustainable Research Collaborations

Open Date: 2021-02-01

Close Date: 2024-01-31

Grant: Close

Collaborative Research Data Afterlives: The long-term impact of NSF Data Management Plans on data archiving and sharing for increased access

Open Date: 2020-10-01

Close Date: 2024-09-30

Grant: Close

CCE STEM: Standard: Collaborative Research: The Development of Ethical Cultures in Computer Security Research

Open Date: 2016-09-01

Close Date: 2021-08-31

Grant: Close

Doctoral Dissertation Research: Post-disaster Information Environments

Open Date: 2009-04-01

Close Date: 2011-04-30

Articles (9)

Anticipatory infrastructures assemble sensors that are ready to detect, networks primed to share data, scientists prepared to confirm events, and news organizations poised to tell stories. This article explains how public time is articulated through sensor-mediated communications by examining two anticipatory infrastructures. Each infrastructure uses similar earthquake data to detect, report on, and convene material publics around earthquakes in Southern California. They are integral to structuring rhythms, coordinating syncronizations, setting deadlines, and making events timely, meaningful, and actionable, yet their governance lives in no one place. Instead, they emerge from an assemblage of sensors, networks, devices, algorithms, people, data, organizations, professional practices, and normative theories of the public. By comparing two different anticipatory infrastructures, we show how imagined publics, forms of journalistic storytelling, representations of earthquake events, and system maintenance can convene different public temporalities. We identify four dynamics involved in making these variable temporalities in material publics: how human-machine relations organize time, how professional norms of timeliness collide, how publics are anticipated by infrastructures, and how sensor infrastructures are maintained or decay over time.

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2024

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2024

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2023

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2023

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2022

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2021

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2020

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2020

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2020

Collaborators (7)

Janaki Srinivasan

University of Oxford

UNITED KINGDOM
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Amelia Acker

Assistant Professor

University of Texas at Austin

UNITED STATES
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Quinn DuPont

Assistant Professor

Dublin City University

IRELAND
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Elisa Oreglia

King’s College London

UNITED KINGDOM
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Mike Ananny

University of Southern California

UNITED STATES
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Youngrim Kim

Rutgers University

UNITED STATES
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Bidisha Chaudhuri

University of Amsterdam

NETHERLANDS
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