New in Big Data & Society 🗞️
Alejandra Regla-Vargas, AJ Alvero, and Hajar Yazdiha analyze anti-Asian hate and counter-hate on social media during COVID-19, showing how hate and resistance enact racial projects through shifting frames.
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Today: Panel 3, Techno-Politics of Interoperability. A conversation on how “mundane” database connections become sites of political struggle, shaping privacy, sovereignty, and governance. uky.zoom.us/j/84084505304
#CriticalDataStudies #STS
Tomorrow: BD&S 2026 Colloquium, Panel 3: Techno-Politics of Interoperability with Nina Amelung, Can E Mutlu, Annalisa Pelizza, and Nanna Bonde Thylstrup. Mar 4 uky.zoom.us/j/84084505304
#STS #DataGovernance
AI and algorithmic systems rely on interoperability to access vast datasets across databases. Panel 3 digs into the techno-politics behind those connections: who benefits, who gets exposed, and who gets governed. Mar 4 uky.zoom.us/j/84084505304
#AI #DataPolitics
Join us for BD&S 2026 Colloquium, Panel 3: Techno-Politics of Interoperability (Mar 4 | 15:30–17:30 GMT / 10:30 AM–12:30 PM EST). Interoperability is never “just technical”, it’s where governance, power, and data access get decided. lnkd.in/er4cD6xX
hashtag#DataGovernance hashtag#STS
New in Big Data & Society 🗞️
Laura Rothfritz examines the 2016/2017 Data Rescue movement, introducing “anticipatory maintenance” to show how volunteers built redundant, decentralized strategies for preserving public data amid political uncertainty.
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New in Big Data & Society 🗞️
Yu Sun, Wilfred Yang Wang, and Linlin Li examine “techno-moral governance” in rural China via a data scoring system, showing how digital tools are used to nudge morality and reorganize everyday governance.
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New in Big Data & Society 🗞️
Miao Lu examines how “last mile” rural connectivity in Ghana is built through state projects and Chinese tech, tracing the techno-politics of datafying infrastructure, value creation, and local participation.
🔗 doi.org/10.1177/2053...
New in Big Data & Society 🗞️
Xinyu Deng examines the free labor of Google Maps “Local Guides,” showing how gamified participation translates “hacker ethic” values into data accumulation, rewarding contributors with reputation rather than pay.
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New in Big Data & Society 🗞️
Jingxin Tan and Tingting Liu examine Chinese data scientists’ aspirations and constraints, showing how continuous experimentation shapes professional identity while tech giants’ control over resources limits autonomy.
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New in Big Data & Society 🗞️
Marta Choroszewicz and Antti Rannisto trace how a generative AI decision-support tool is justified inside a Finnish public organisation, showing how “regimes of justification” sustain innovation across boundaries.
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New in Big Data & Society 🗞️
Yehan Wang examines “algorithmic flexibility” on e-commerce platforms, showing how everyday users resist and influence algorithmic outcomes through practical, creative strategies.
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New in Big Data & Society 🗞️
Pengfei Fu and Jian Lin trace how China’s data annotation industry shifts from transnational crowdwork toward state-regulated infrastructures, showing how formalisation reshapes standards, surveillance, and worker autonomy across the AI stack.
🔗 doi.org/10.1177/2053...
Please join us today for BD&S 2026 Colloquium, Panel 2: Infrastructures in Time: Genealogies of Big Data.
16:00–18:00 GMT / 11:00 AM–1:00 PM EST
uky.zoom.us/j/86848639105
#STS #CriticalDataStudies
Tomorrow: Panel 2, Infrastructures in Time. Join us for a conversation on genealogies of big data and why history matters for accountability now. uky.zoom.us/j/86848639105
#STS #DataGovernance
In 2 days: Panel 2 traces how data extraction and management today are shaped by longer histories of governance and infrastructure. Feb 18 uky.zoom.us/j/86848639105
#CriticalDataStudies #STS
Speaker spotlight: Lucy Suchman critically engages AI and HCI and extends that work to contemporary militarism, asking whose bodies are incorporated into military systems and with what consequences. Panel 2 (Feb 18) uky.zoom.us/j/86848639105
#AI #STS
Speaker spotlight: Bolun Zhang studies infrastructure where material systems meet political–economic regimes, with a focus on China and Global China and computational methods in social science. Panel 2 (Feb 18) uky.zoom.us/j/86848639105
#Infrastructure #STS
Speaker spotlight: Os Keyes researches gender, disability, and power in AI, alongside the history and sociology of scientific work around trans medicine. Panel 2 (Feb 18) uky.zoom.us/j/86848639105
#CriticalAI #STS
Speaker spotlight: Sun-ha Hong examines uncertainty, doubt, myth, and (dis)belief around AI and data-driven technologies. Panel 2 (Feb 18) uky.zoom.us/j/86848639105
#AI #STS
Genealogies aren’t nostalgia, they’re accountability tools. Panel 2 asks how historical continuities can inform more critical approaches to data politics. Feb 18 uky.zoom.us/j/86848639105
#DataGovernance #STS
From colonial data regimes to Cold War computing and global telecoms, infrastructures shape how data gets extracted, managed, and mobilised today. Feb 18 uky.zoom.us/j/86848639105
#BigData #STS
Panel 2 traces how today’s “data systems” sit inside longer histories of information governance, infrastructure, and extraction. Feb 18 uky.zoom.us/j/86848639105
#STS #CriticalDataStudies
Join us for BD&S 2026 Colloquium, Panel 2: Infrastructures in Time: Genealogies of Big Data (Feb 18 | 16:00–18:00 GMT / 11:00 AM–1:00 PM EST) uky.zoom.us/j/86848639105
#CriticalDataStudies #STS #BigData
It should include your disciplinary background, current position and university, a brief overview of your interest in becoming a Co-Editor (300 words), five keywords describing your expertise and a copy of your current CV. (7/7)
If you have questions, please contact the Editor-in-Chief of the journal, Matthew Zook (zook@uky.edu)
To express interest in becoming a Co-Editor, please fill in this short form by February 20, 2026 forms.gle/TqQPYJ1L15gX... (6/n)
The journal’s key purpose is to provide a space for connecting debates about the field of Big Data practices and how they are reconfiguring academic, social, industry, business, and governmental relations, expertise, methods, concepts, and knowledge. (5/n)
Big Data & Society (BD&S, IF: 5.9) is an open access, peer-reviewed scholarly journal that publishes interdisciplinary work principally in the social sciences, humanities, and computing, and their intersections with the arts and natural sciences, on the implications of Big Data for societies. (4/n)
The role requires overseeing peer review, including identifying and inviting referees, synthesizing responses to the author from referees’ reviews, and recommending decisions. It also involves contributing to oversight of guest editors as part of Special Theme collections. (3/n)
computational technologies. You will join an international, interdisciplinary team from diverse social science disciplines such as media and communications, science and technology studies, computational sociology, journalism, law, geography, anthropology, and digital humanities. (2/n)
