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Judy Wajcman

British sociologist and academic

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Record originEnglish Wikipedia
Text licenseCC BY-SA 4.0
Source revisionSep 14, 2026
Entity authorityQ1711168
Source-derived summary

Judy Wajcman ( WISE-men), is the Anthony Giddens Professor of Sociology at the London School of Economics and Political Science. She is the Principal Investigator of the Women in Data Science and AI project at The Alan Turing Institute. She is also a visiting professor at the Oxford Internet Institute. Her scholarly interests encompass the sociology of work, science and technology studies, gender theory, and organizational analysis. Her work has been translated into French, German, Greek, Italian, Korean, Japanese, Portuguese, Russian, Chinese and Spanish. Prior to joining the LSE in 2009, she was a professor of sociology in the Research School of Social Sciences at the Australian National University. She was the first woman to be appointed the Norman Laski Research Fellow (1978–80) at St. John's College, Cambridge. In 1997 she was elected Fellow of the Academy of the Social Sciences in Australia.

Wajcman was President of the Society for the Social Studies of Science (2009–2011), and is the recipient of the William F. Ogburn Career Achievement Award of the American Sociological Association (2013).

Editorial summary

This brief starts where responsible research should: with the source description of “Judy Wajcman” as british sociologist and academic. Everything that follows is an evidence route, not borrowed authority.

Editorial reviewA dependable orientation record for establishing vocabulary, names and a first evidence trail. The current lead gives the account dated anchors—2009, 1978, 1997, 2011—that can be checked directly. The linked authority record independently contributes the date 1950-12-12. The account is most persuasive where Judy, Wajcman and British can be independently traced.
Editorial analysis

Why this record matters

The subject matters to the general reference register because the source frames it as british sociologist and academic. Its deeper value depends on whether names, dates, institutions and citations support that framing.

Evidence profile

The citation trail is more important than the brevity of the summary: it shows where individual claims can be examined in context. The source revision retrieved here is dated Sep 14, 2026. The linked authority identifier is Q1711168. VIAF identifies the subject as 34628399. The Library of Congress control number is n83125461. 3 of 3 selected statements include explicit references; 0 carry qualifiers and 0 use preferred rank. The first chronological checks are 2009, 1978, 1997 and 2011.

Critical limits

Overview language is designed for orientation and should not be treated as a substitute for the evidence cited beneath it. The lead is largely declarative, so disagreement and counter-evidence require a deliberate search beyond the opening account. Authority statements aid reconciliation but still require their own references, qualifiers and ranks to be checked.

How to read it

Use the entry as an orientation point, then follow its citations and revision history. Names, dates and institutional relationships should be checked against the original record.

Best used for
  • Subject orientation
  • Search vocabulary
  • Locating named sources
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The closest primary source, responsible institution and strongest cited specialist reference.

Three-step research path

  1. Establish the record: confirm the title “Judy Wajcman”, its source revision and the description used here.
  2. Expand the search: follow Judy Wajcman primary sources, Judy Wajcman archive and Judy research across catalogues and specialist indexes.
  3. Test the account: compare the strongest cited source with the responsible institution’s current record and note any disagreement.

Questions for further research

  1. Which source most directly establishes the central claim about “Judy Wajcman”?
  2. Which institution is responsible for the underlying evidence?
  3. Which cited source is closest to the event, object or claim?
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Source & attribution

This entry incorporates text from Judy Wajcman” on English Wikipedia. Contributors are listed in the page history. Text is available under the Creative Commons Attribution-ShareAlike 4.0 License. Selected authority identifiers and statements are retrieved from Wikidata under CC0; their references and qualifiers remain part of the verification path.