(Un)writing the histories of Humanities Computing(s)

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Paper 'Hidden Histories: Symposium on Methodologies for the History of Computing in the Humanities c.1949-1980. London: UCL, 17 September 2011.

Technology Business

(Un)writing the histories of Humanities Computing(s)

Edward Vanhoutte

Director of Research & Publications, Royal Academy of Dutch Language & Literature
Head, Centre for Scholarly Editing and Document Studies
Research Associate, UCL Centre for Digital Humanities

edward.vanhoutte@kantl.be
@evanhoutte

http://historyproef.org/blog/teaching/digital-humanities-definitions-by-type/

At a moment when the academy in general and the humanities
in particular are the object of massive and wrenching changes,
digital humanities emerges as a rare vector for jujitsu,
simultaneously serving to position the humanities at the very
forefront of certain valueladen agendas—entrepreneurship,
openness and public engagement, futureoriented thinking,
collaboration, interdisciplinarity, big data, industry tieins, and
distance or distributed education—while at the same time
allowing for various forms of intrainstitutional mobility as new
courses are mooted, new colleagues are hired, new resources are
allotted, and old resources are reallocated.

Matthew Kirschenbaum

●Discover, confirm and exemplify how
computing affects analysis, so that
the basic case for humanities
computing is clear and persuasive
across the disciplines.

●Identify and cultivate kinships with
the disciplines, so that humanities
computing is informed by the
collective ways of knowing they have
cultivated.

●Cultivate and exercise the ability to
explain the essentials of humanities
computing to non-specialist
colleagues and to the general public.

●Develop as a prevalent habit and
as a serious, essential aspect of
work the strongly conversational
mode of scholarly publication
exemplified by Humanist and other
Internet forums.

●Write the ethnography of
collaborative engagements to
document how successful
collaborations happen and how
perceptions change in the encounter
of the humanities with computing.

●Develop a genuine historiography
of humanities computing from
existing chronologies; begin writing
histories of the field.

●History & computing (Adman, 1987)
●Computing in musicology, 1966-1991 (Hewlett & Selfridge-Field,

1991)
●Statistical analysis of literature in Chum, 1966-1990 (Potter, 1991)

● A Companion to Digital Humanities (2004)
● Archaeology

● Art history

● Classics

● History

● Lexicography

● Linguistics

● Literary studies

● Music

● Multimedia

● Performing arts

● Philosophy and religion

Humanities Computing = Semantic Primitive

Historical Knowledge ≈ Definition

Humanities Computing = Semantic Primitive

Historical Knowledge ≈ Definition

2 problems
1. Chronology of the definition
2. Defining power of the chronology

Unwriting the histories of
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Welcome to UiPath Test Automation using UiPath Test Suite series part 6. In this session, we will cover Test Automation with generative AI and Open AI. UiPath Test Automation with generative AI and Open AI webinar offers an in-depth exploration of leveraging cutting-edge technologies for test automation within the UiPath platform. Attendees will delve into the integration of generative AI, a test automation solution, with Open AI advanced natural language processing capabilities. Throughout the session, participants will discover how this synergy empowers testers to automate repetitive tasks, enhance testing accuracy, and expedite the software testing life cycle. Topics covered include the seamless integration process, practical use cases, and the benefits of harnessing AI-driven automation for UiPath testing initiatives. By attending this webinar, testers, and automation professionals can gain valuable insights into harnessing the power of AI to optimize their test automation workflows within the UiPath ecosystem, ultimately driving efficiency and quality in software development processes. What will you get from this session? 1. Insights into integrating generative AI. 2. Understanding how this integration enhances test automation within the UiPath platform 3. Practical demonstrations 4. Exploration of real-world use cases illustrating the benefits of AI-driven test automation for UiPath Topics covered: What is generative AI Test Automation with generative AI and Open AI. UiPath integration with generative AI Speaker: Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP

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Read Taking AI to the Next Level in Manufacturing to gain insights on AI adoption in the manufacturing industry, such as: 1. How quickly AI is being implemented in manufacturing. 2. Which barriers stand in the way of AI adoption. 3. How data quality and governance form the backbone of AI. 4. Organizational processes and structures that may inhibit effective AI adoption. 6. Ideas and approaches to help build your organization's AI strategy.

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My slides at Nordic Testing Days 6.6.2024 Climate impact / sustainability of software testing discussed on the talk. ICT and testing must carry their part of global responsibility to help with the climat warming. We can minimize the carbon footprint but we can also have a carbon handprint, a positive impact on the climate. Quality characteristics can be added with sustainability, and then measured continuously. Test environments can be used less, and in smaller scale and on demand. Test techniques can be used in optimizing or minimizing number of tests. Test automation can be used to speed up testing.

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For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2024/06/building-and-scaling-ai-applications-with-the-nx-ai-manager-a-presentation-from-network-optix/ Robin van Emden, Senior Director of Data Science at Network Optix, presents the “Building and Scaling AI Applications with the Nx AI Manager,” tutorial at the May 2024 Embedded Vision Summit. In this presentation, van Emden covers the basics of scaling edge AI solutions using the Nx tool kit. He emphasizes the process of developing AI models and deploying them globally. He also showcases the conversion of AI models and the creation of effective edge AI pipelines, with a focus on pre-processing, model conversion, selecting the appropriate inference engine for the target hardware and post-processing. van Emden shows how Nx can simplify the developer’s life and facilitate a rapid transition from concept to production-ready applications.He provides valuable insights into developing scalable and efficient edge AI solutions, with a strong focus on practical implementation.

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During this demo, the founders of Secludy will demonstrate how their system utilizes Milvus to store and manipulate embeddings for generating privacy-protected synthetic data. Their approach not only maintains the confidentiality of the original data but also enhances the utility and scalability of LLMs under privacy constraints. Attendees, including machine learning engineers, data scientists, and data managers, will witness first-hand how Secludy's integration with Milvus empowers organizations to harness the power of LLMs securely and efficiently.

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In his public lecture, Christian Timmerer provides insights into the fascinating history of video streaming, starting from its humble beginnings before YouTube to the groundbreaking technologies that now dominate platforms like Netflix and ORF ON. Timmerer also presents provocative contributions of his own that have significantly influenced the industry. He concludes by looking at future challenges and invites the audience to join in a discussion.

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Imagine a world where software fuzzing, the process of mutating bytes in test seeds to uncover hidden and erroneous program behaviors, becomes faster and more effective. A lot depends on the initial seeds, which can significantly dictate the trajectory of a fuzzing campaign, particularly in terms of how long it takes to uncover interesting behaviour in your code. We introduce DIAR, a technique designed to speedup fuzzing campaigns by pinpointing and eliminating those uninteresting bytes in the seeds. Picture this: instead of wasting valuable resources on meaningless mutations in large, bloated seeds, DIAR removes the unnecessary bytes, streamlining the entire process. In this work, we equipped AFL, a popular fuzzer, with DIAR and examined two critical Linux libraries -- Libxml's xmllint, a tool for parsing xml documents, and Binutil's readelf, an essential debugging and security analysis command-line tool used to display detailed information about ELF (Executable and Linkable Format). Our preliminary results show that AFL+DIAR does not only discover new paths more quickly but also achieves higher coverage overall. This work thus showcases how starting with lean and optimized seeds can lead to faster, more comprehensive fuzzing campaigns -- and DIAR helps you find such seeds. - These are slides of the talk given at IEEE International Conference on Software Testing Verification and Validation Workshop, ICSTW 2022.

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1. (Un)writing the histories of Humanities Computing(s) Edward Vanhoutte Director of Research & Publications, Royal Academy of Dutch Language & Literature Head, Centre for Scholarly Editing and Document Studies Research Associate, UCL Centre for Digital Humanities edward.vanhoutte@kantl.be @evanhoutte

2. http://historyproef.org/blog/teaching/digital-humanities-definitions-by-type/

6. HC ≠ DH

10. http://transducer.ontoligent.com/?p=717

11. http://tapor.ualberta.ca/taporwiki/

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16. At a moment when the academy in general and the humanities in particular are the object of massive and wrenching changes, digital humanities emerges as a rare vector for jujitsu, simultaneously serving to position the humanities at the very forefront of certain valueladen agendas—entrepreneurship, openness and public engagement, futureoriented thinking, collaboration, interdisciplinarity, big data, industry tieins, and distance or distributed education—while at the same time allowing for various forms of intrainstitutional mobility as new courses are mooted, new colleagues are hired, new resources are allotted, and old resources are reallocated. Matthew Kirschenbaum

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21. ●Discover, confirm and exemplify how computing affects analysis, so that the basic case for humanities computing is clear and persuasive across the disciplines. ●Identify and cultivate kinships with the disciplines, so that humanities computing is informed by the collective ways of knowing they have cultivated.

22. ●Cultivate and exercise the ability to explain the essentials of humanities computing to non-specialist colleagues and to the general public.

23. ●Develop as a prevalent habit and as a serious, essential aspect of work the strongly conversational mode of scholarly publication exemplified by Humanist and other Internet forums.

24. ●Write the ethnography of collaborative engagements to document how successful collaborations happen and how perceptions change in the encounter of the humanities with computing. ●Develop a genuine historiography of humanities computing from existing chronologies; begin writing histories of the field.

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28. ●History & computing (Adman, 1987) ●Computing in musicology, 1966-1991 (Hewlett & Selfridge-Field, 1991) ●Statistical analysis of literature in Chum, 1966-1990 (Potter, 1991) ● A Companion to Digital Humanities (2004) ● Archaeology ● Art history ● Classics ● History ● Lexicography ● Linguistics ● Literary studies ● Music ● Multimedia ● Performing arts ● Philosophy and religion

29. Humanities Computing = Semantic Primitive Historical Knowledge ≈ Definition

30. Humanities Computing = Semantic Primitive Historical Knowledge ≈ Definition 2 problems 1. Chronology of the definition 2. Defining power of the chronology

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33. Unwriting the histories of Humanities Computings

34. (Un)writing the histories of Humanities Computing(s) Edward Vanhoutte Director of Research & Publications, Royal Academy of Dutch Language & Literature Head, Centre for Scholarly Editing and Document Studies Research Associate, UCL Centre for Digital Humanities edward.vanhoutte@kantl.be @evanhoutte

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