Black presents research on British military intelligence

Alistair Black
Alistair Black, Professor Emeritus

Professor Emeritus Alistair Black discussed his research on British military intelligence at the conference "Information and Communication in Wartime," which was held July 25-26 at the University of London.

He presented his paper, "'All information flows toward it, or returns to it in a form worked up into shape': the Intelligence Branch of the British War Office, 1873-1914." 

Abstract: In 1873 the British War Office established an Intelligence Branch, thereby formally recognizing, for the first time, the importance of gathering, organizing and disseminating information for strategic military purposes. Based on documents held in the National Archives (UK), this paper explores the ways in which the work of the War Office Intelligence Branch developed before the First World War in response to imperial and foreign-military challenges. Specifically, attention is paid to the type of information management methods that were employed. Significantly, these methods pre-dated those that emerged around the turn of the century in the first large multinational corporations, in counter-intelligence agencies like MI5 (1908) and in the Board of Trade, which inaugurated a Commercial Intelligence Branch in 1899. They also pre-dated, though subsequently paralleled, the late-nineteenth century emergence of a science of management, which included an identifiable information dimension.

Black is a prolific scholar whose research on the design of post-war British public libraries was recently awarded an Illinois Program for Research in the Humanities (IPRH) Honorable Mention prize for best faculty research. He is the author of A New History of the English Public Library (1996), The Public Library in Britain 1914-2000 (2000), and Libraries of Light: British Public Library Design in the Long 1960s (2017) and co-author of several other books. In 2014, he was named an iSchool Centennial Scholar for his outstanding accomplishments in the field of library and information science. He earned his master's degree in social and economic history from the University of London and his doctorate from London Metropolitan University.

Research Areas:
Updated on
Backto the news archive

Related News

Trainor receives the Karen Wold Level the Learning Field Award

Senior Lecturer Kevin Trainor has been selected by the Division of Disability Resources and Educational Services (DRES) to receive the 2024 Karen Wold Level the Learning Field Award. This award honors exemplary members of faculty and staff for advocating and/or implementing instructional strategies, technologies, and disability-related accommodations that afford students with disabilities equal access to academic resources and curricula. 

Kevin Trainor

Seo coauthors chapter on data science and accessibility

Assistant Professor JooYoung Seo and Mine Dogucu, professor of statistics in the Donald Bren School of Information and Computer Sciences at the University of California Irvine, have coauthored a chapter in the new book Teaching Accessible Computing. The goal of the book, which is edited by Alannah Oleson, Amy J. Ko and Richard Ladner, is to help educators feel confident in introducing topics related to disability and accessible computing and integrating accessibility into their courses.

JooYoung Seo

iSchool instructors ranked as excellent

Fifty-five iSchool instructors were named in the University's List of Teachers Ranked as Excellent for Fall 2023. The rankings are released every semester, and results are based on the Instructor and Course Evaluation System (ICES) questionnaire forms maintained by Measurement and Evaluation in the Center for Innovation in Teaching and Learning. 

iSchool Building

ConnectED: Tech for All podcast launched by Community Data Clinic

The Community Data Clinic (CDC), a mixed methods data studies and interdisciplinary community research lab led by Associate Professor Anita Say Chan, has released the first episode of its new podcast, ConnectED: Tech for All. Community partners on the podcast include the Housing Authority of Champaign County, Champaign-Urbana Public Health District, Project Success of Vermilion County, and Cunningham Township Supervisor’s Office.

Community Data Clinic podcast logo

New study shows LLMs respond differently based on user’s motivation

A new study conducted by PhD student Michelle Bak and Assistant Professor Jessie Chin, which was recently published in the Journal of the American Medical Informatics Association (JAMIA), reveals how large language models (LLMs) respond to different motivational states. In their evaluation of three LLM-based generative conversational agents (GAs)—ChatGPT, Google Bard, and Llama 2—the researchers found that while GAs are able to identify users' motivation states and provide relevant information when individuals have established goals, they are less likely to provide guidance when the users are hesitant or ambivalent about changing their behavior.