Hello everyone,
A few weeks ago, we announced the WikiLearn course on how to upload and
edit files on Wikimedia Commons using OpenRefine.
- In English: OpenRefine for Wikimedia Commons: the basics
<https://learn.wiki/courses/course-v1:Wikimedia-Foundation+WMF_GLAM001+2023/…>
- In Spanish / Español*: OpenRefine para Wikimedia Commons: conceptos
básicos
<https://learn.wiki/courses/course-v1:Wikimedia-Foundation+WMF_GLAM001+2024_…>
- In French / Français*: OpenRefine pour Wikimedia Commons : les bases
<https://learn.wiki/courses/course-v1:Wikimedia-Foundation+WMF_GLAM001+2024_…>
We are now happy to announce the translation for Italian!
- In Italian / Italiano: Introduzione all'uso di OpenRefine per
Wikimedia Commons
<https://learn.wiki/courses/course-v1:Wikimedia-Foundation+WMF_GLAM001+2024_…>
This course can be easily translated into other languages (more about
the translation process here
<https://studio.learn.wiki/meta_translations/discover_courses/> and here
<https://commons.wikimedia.org/wiki/File:Tutorial_on_how_to_translate_course…>).
More translations are on the way, including Portuguese, which will be
launched soon.
All the versions of this course are available at any time for free. You
only need a Wikimedia account and the course can be followed at your own
pace, with computer-graded exercises. A certificate is awarded at the end
and an average of 6 to 8 hours is needed to complete the course.
Please, feel free to share these translations with people who speak these
languages and who you think might be interested in learning more
about OpenRefine or Wikimedia Commons.
Thank you so much, Marta Erica Arosio, for your amazing work translating
this course into Italian! 👏👏👏
Best,
Giovanna
* These two courses/languages had problems before and are now fixed and
fully available.
Giovanna Fontenelle (she/her)
Program Officer, Culture and Heritage
Wikimedia Foundation <https://wikimediafoundation.org/>
Dear all,
Apologies for cross-posting.
Wikimedia Germany is organising a special networking meeting for
German-speaking cultural heritage practitioners who use wikidata and
wikibase to build linked open cultural heritage data. Our goal is to
initiate a German language community of practice. If this sounds like you,
please take a look at what we have planned (details below) and consider
joining us in June or signing on to our mailing list
<https://lists.wikimedia.org/postorius/lists/openglam-de.lists.wikimedia.org/>
to stay in the loop.
Thanks!
Lucy
-----------------------------------------------
*Netzwerktreffen "kulturelles Erbe, Linked Open Data und das Wikiversum"
<https://meta.wikimedia.org/wiki/Netzwerktreffen_offene_Kulturdaten_2024>*
Freitag 14.06.24, 10:00 AM - 15:00 PM
Wikimedia Deutschland e.V., Tempelhofer Ufer 23-24, 10963 Berlin
*Remote-Teilnahme auch möglich*
Ein 1-tägiges Treffen in Berlin zur Vernetzung von deutschsprachigen
Fachleuten aus dem Kulturerbe-Sektor und Community-Mitgliedern, die bereits
mit den Wikimedia-Projekten am Aufbau von Linked Open Data arbeiten. Das
Ziel des Treffens ist es, eine Community of Practice zu initiieren. Diese
soll sich regelmäßig treffen, um bewährte Praxisbeispiele auszutauschen und
neue zu entwickeln, Fachwissen zu erweitern, Erfahrungen und Erkenntnisse
zu teilen, Strategien zur Interessenvertretung und Finanzierung zu
diskutieren und Kooperationen aufzubauen. Diese Community of Practice wird
ein Ort sein, an dem sowohl die Erfahrenen ihr Wissen teilen und
austauschen als auch die Anfänger*innen ihre ersten Schritte machen können.
Für diese ersten Netzwerktreffen möchten wir diejenigen zusammenbringen,
die bereits Erfahrung mit der Nutzung von Wikidata/-base für den Aufbau von
LOD zum kulturellen Erbe haben und daran interessiert sind, Gleichgesinnte
kennenzulernen. Egal ob institutioneller Datenverantwortlicher*innen,
Forscher*innen oder Freiwilliger*innen, schließen Sie sich uns an!
Ziel des 1-tägigen Treffen:
- Vernetzung von deutschsprachigen Fachleuten aus dem Kulturerbe-Sektor
und Community-Mitgliedern. Das Treffen bietet die Möglichkeit, Kolleg*innen
aus dem gesamten Bereich des kulturellen Erbes kennenzulernen, die mit
Wikidata und Wikibase arbeiten.
- Aufbau einer Community of Practice: Diese soll sich regelmäßig
treffen, um bewährte Praxisbeispiele auszutauschen und neue zu entwickeln,
Fachwissen zu erweitern, Erfahrungen und Erkenntnisse zu teilen, Strategien
zur Interessenvertretung und Finanzierung zu diskutieren und Kooperationen
aufzubauen.
*Programm, weitere Infos und Anmeldung hier
<https://meta.wikimedia.org/wiki/Netzwerktreffen_offene_Kulturdaten_2024>.*
--
Dr. Lucy Patterson (she/her)
Project Manager Digital Cultural Heritage
(Work days: Mon-Thu)
Wikimedia Deutschland e. V. | Tempelhofer Ufer 23-24 | 10963 Berlin
Phone: +49 (0)30-577 11 62-0https://wikimedia.de
Keep up to date! Current news and exciting stories about Wikimedia,
Wikipedia and Free Knowledge in our newsletter (in German): Subscribe
now <https://www.wikimedia.de/newsletter/>.
Imagine a world in which every single human being can freely share in
the sum of all knowledge. Help us to achieve our
vision!https://spenden.wikimedia.de
Wikimedia Deutschland — Gesellschaft zur Förderung Freien Wissens e.
V. Eingetragen im Vereinsregister des Amtsgerichts Charlottenburg, VR
23855 B. Als gemeinnützig anerkannt durch das Finanzamt für
Körperschaften I Berlin, Steuernummer 27/029/42207. Geschäftsführende
Vorstände: Franziska Heine, Dr. Christian Humborg
Dear colleagues,
With apologies for cross posting.
We are delighted to announce the May programme of the Sloane Lab and HDSM (Humanities Data Science & Methodology) Darmstadt online seminar series: Critical and creative engagement with historical data.
This seminar invites international speakers whose work is situated at the intersections of collections as data, cataloguing histories and critical archival studies, heritage infrastructures, critical digital heritage, and information science.
To register and view the full programme please visit Eventbrite: https://www.eventbrite.co.uk/e/critical-and-creative-engagement-with-histor…
7th May, 15:30 BST - Whirling around a digital future – Dr Bethany Johnstone, UCL Dept of Information Studies
This paper begins by outlining research conducted before the pandemic that investigated the reality of a digital turn in dance. The research explored whether the digitization of dance archival content could offer dance archives a way to engage with online audiences, thus increasing the visibility and awareness of dance archive content to a newly established online community. The paper continues by providing new insights into how user behaviour can guide the sector's progress. It shares the findings from two different research projects conducted at University College London as the world begins to move towards a post-pandemic landscape where dance archives can no longer ignore the prospect of their own digital turn. The paper explores how dance archives can plan for a digital future while also satisfying the user’s quest for online dance performances.
14th May, 15:30 BST - Leveraging XR for the Promotion of Art and Cultural Heritage Dr Stella Sylaiou - International Hellenic University
This presentation describes the use of digital tools in the development of platforms for the promotion of arts and culture, with emphasis on the framework used for categorizing and contextualising artworks/artefacts. The presentation draws on the CREAMS project, which employs XR as a fulcrum for enhancing more meaningful engagement with contemporary art virtual exhibitions through curatorial innovations as well as the inclusion of multimodal contextual material. Frameworks for creating a nexus of resources that add context to exhibited art are developed, with respective data classification approaches. Moreover, we will discuss the inclusion of artefacts’ aspects related to intangible heritage, such as pertinent narratives, histories and functions.
21st May, 15:30 BST - Anti-Colonial Annotations of Sloane Jamaican references – Dr Dorothy Kyagaba Sebbowa - Sloane Lab Community Fellow / Makerere University
This project draws on the guide to the Sloane Database produced by the Natural History Museum before the Sloane Lab project as the key unit of analysis. It seeks to reinstate the experience of enslaved people and the history of slavery as the prism through which to explore and understand this data by examining the historicities, technologies and methodologies through the lens of Sloane's involvement in the local history of Jamaica and African enslavement. This project was prompted by the absence of this context in the publicly accessible data provided by the Natural History Museum about the Sloane Database prior to the Sloane Lab. The project inquiries into the ways that digitally mediated annotations can support the articulation and inscription of previously ignored/ marginalized anti-colonial readings of historical and curatorial-mediated archives. Historical hermeneutical methodological lens was employed to guide the critical perspectives and analysis.
28th May, 15:30 BST - Enframing narratives & post-Fordist Global South Digital Humanities ecosystem - Arjun Sanyal - University of Himachal Pradesh
In this presentation, I will expound a conceptual framework, informed by Paul Ricœur’s (1992) hermeneutical construction of “narrative identity” and Henry Giroux’s (1993) notion of Border Pedagogy, for rethinking the DH workflow, transnationally, for deconstructing Western DH grand narratives and creating counter-texts. By blending Ricœur’s hermeneutical technique, collaboratively, with digital multimedia storytelling tools and Giroux’s idea of Border Pedagogy, it is posited, will enable the re-contextualization of computational narratives, facilitated by GLAM professionals re-envisioning themselves as "border crossers" to reinforce the extant DH epistemic milieux, sociotechnically. In conclusion, this conceptual edifice is an exercise in participatory praxis, as a counterpoint to the techno-deterministic DH research ecosystem, for enabling intercultural dialogue and envisioning a new sociology of knowledge.
Best wishes
Marco
Dr Marco Humbel (he/him)
Research Fellow in Participatory Research and Collections as Data
UCLDH Associate Director (ECR)
Department of Information Studies, UCL
Email: marco.humbel.17(a)ucl.ac.uk<mailto:marco.humbel.17@ucl.ac.uk>
Web: https://profiles.ucl.ac.uk/67801-marco-humbel/about
Hello,
What a great question! Thank you for that.
Yes, even though this is a self-paced course, we do provide a certificate
at the end. For that, you need to make sure to complete all assignments, to
watch all videos, and check (green check marks) all the pages. When
completed, you will be able to download your certificate, with your name
and date.
In addition, we also provide a template for a badge that you can add to
your user page on Meta-Wiki. This is also at the end of the course.
If you have any questions or find any difficulties in the process, let me
know and I can support you.
Best,
Giovanna
Giovanna Fontenelle (she/her)
Program Officer, Culture and Heritage
Wikimedia Foundation <https://wikimediafoundation.org/>
From: ART library deco <artlibrarydeco(a)gmail.com>
Date: Fri, 3 May 2024 at 02:29
Subject: [Open-GLAM] Re: "OpenRefine for Wikimedia Commons: the basics" in
Spanish and French
To: A list for people interested in open access, open data and open content
in the cultural heritage sector. See https://openglam.org/ for more info
about this community. <open-glam(a)lists.wikimedia.org>
Do you receive a certificate after taking the course? I would like to take
this but need something to verify it being for professional development for
my job.
On Mon, Apr 29, 2024 at 10:44 AM Giovanna Fontenelle <
gfontenelle(a)wikimedia.org> wrote:
> Hello everyone,
>
> A few weeks ago, we announced the course on the learning platform,
> WikiLearn, on how to upload and edit files on Wikimedia Commons using
> OpenRefine: *OpenRefine for Wikimedia Commons: the basics*
> <https://learn.wiki/courses/course-v1:Wikimedia-Foundation+WMF_GLAM001+2023/…>
> .
>
> Today, we are happy to announce two translations of the course: Spanish
> and French!
>
>
> - OpenRefine para Wikimedia Commons: conceptos básicos
> <https://app.learn.wiki/learning/course/course-v1:Wikimedia-Foundation+WMF_G…> (Spanish
> / Español)
> - OpenRefine pour Wikimedia Commons : les bases
> <https://app.learn.wiki/learning/course/course-v1:Wikimedia-Foundation+WMF_G…> (French,
> Français)
>
>
> This course can be easily translated into other languages (more about the
> translation process here
> <https://studio.learn.wiki/meta_translations/discover_courses/> and here
> <https://commons.wikimedia.org/wiki/File:Tutorial_on_how_to_translate_course…>).
> More translations, such as Italian, Portuguese, and Basque, are being
> worked on.
>
> Just like the English course, the Spanish and French versions are
> available at any time, for free. You only need a Wikimedia account and the
> course can be followed at your own pace, with computer-graded exercises. A
> certificate is awarded at the end and an average of 6 to 8 hours is needed
> to complete the course.
>
> Please, feel free to share these translations with people who speak these
> languages and who you think might be interested in learning more about
> OpenRefine or Wikimedia Commons.
>
> Thanks, Carla Toro and Reda Kherbouche, for their amazing work translating
> these courses!
>
> Best,
> Giovanna
>
> Giovanna Fontenelle (she/her)
>
> Program Officer, Culture and Heritage
>
> Wikimedia Foundation <https://wikimediafoundation.org/>
> _______________________________________________
> Open-GLAM mailing list -- open-glam(a)lists.wikimedia.org
> To unsubscribe send an email to open-glam-leave(a)lists.wikimedia.org
>
_______________________________________________
Open-GLAM mailing list -- open-glam(a)lists.wikimedia.org
To unsubscribe send an email to open-glam-leave(a)lists.wikimedia.org
Hello everyone,
A few weeks ago, we announced the course on the learning platform,
WikiLearn, on how to upload and edit files on Wikimedia Commons using
OpenRefine: *OpenRefine for Wikimedia Commons: the basics*
<https://learn.wiki/courses/course-v1:Wikimedia-Foundation+WMF_GLAM001+2023/…>
.
Today, we are happy to announce two translations of the course: Spanish and
French!
- OpenRefine para Wikimedia Commons: conceptos básicos
<https://app.learn.wiki/learning/course/course-v1:Wikimedia-Foundation+WMF_G…>
(Spanish
/ Español)
- OpenRefine pour Wikimedia Commons : les bases
<https://app.learn.wiki/learning/course/course-v1:Wikimedia-Foundation+WMF_G…>
(French,
Français)
This course can be easily translated into other languages (more about the
translation process here
<https://studio.learn.wiki/meta_translations/discover_courses/> and here
<https://commons.wikimedia.org/wiki/File:Tutorial_on_how_to_translate_course…>).
More translations, such as Italian, Portuguese, and Basque, are being
worked on.
Just like the English course, the Spanish and French versions are available
at any time, for free. You only need a Wikimedia account and the course can
be followed at your own pace, with computer-graded exercises. A certificate
is awarded at the end and an average of 6 to 8 hours is needed to complete
the course.
Please, feel free to share these translations with people who speak these
languages and who you think might be interested in learning more about
OpenRefine or Wikimedia Commons.
Thanks, Carla Toro and Reda Kherbouche, for their amazing work translating
these courses!
Best,
Giovanna
Giovanna Fontenelle (she/her)
Program Officer, Culture and Heritage
Wikimedia Foundation <https://wikimediafoundation.org/>
Hello!
We are happy to announce that there is now a free and publicly accessible
course on the learning platform, WikiLearn, on how to upload and edit files
on Wikimedia Commons using OpenRefine: *OpenRefine for Wikimedia Commons:
the basics*
<https://learn.wiki/courses/course-v1:Wikimedia-Foundation+WMF_GLAM001+2023/…>
.
OpenRefine <https://meta.wikimedia.org/wiki/OpenRefine> is a free
data-wrangling tool that can be used to process, manipulate, and clean
tabular (spreadsheet) data and connect it with knowledge bases, including
Wikidata and Wikimedia Commons.
This online course is available at any time, for free. Anyone with a
Wikimedia account can enroll with the click of a button. It can be followed
at your own pace, with computer-graded exercises. A certificate is awarded
at the end to those who complete the course.
The training is suitable for Wikimedians, Wikimedia affiliate staff, and
partners (e.g. GLAM staff and Wikimedians in Residence). Accomplishing the
course should take an average of 6 to 8 hours.
This course was developed as part of the Wikimedia Foundation's training
and sustainability grant to OpenRefine
<https://commons.wikimedia.org/wiki/Commons:OpenRefine/Training_2023-24>.
It is currently available in English and can be easily translated into
other languages (more about the translation process here
<https://studio.learn.wiki/meta_translations/discover_courses/> and here
<https://commons.wikimedia.org/wiki/File:Tutorial_on_how_to_translate_course…>).
Translations for this course in French, Spanish, and Portuguese are being
worked on and will be available very soon.
Please, feel free to share this course with people you think might be
interested in learning more about OpenRefine or Wikimedia Commons, who are
part of your network, in groups, social media, or any other places.
Thank you!
Best,
Giovanna & Sandra
Giovanna Fontenelle (she/her)
Program Officer, Culture and Heritage
Wikimedia Foundation <https://wikimediafoundation.org/>
Datacom 2024
Having trouble reading this email? Click here. [https://mjml.io]
THE 8TH INTERNATIONAL CONFERENCE ON BIG DATA INTELLIGENCE AND
COMPUTING (DATACOM 2024)
September 9-13, 2024, Poznań, Poland
VISIT WEBSITE [https://data-com.org/]
Big data is a rapidly expanding research area spanning the fields of
computer science and information management, and has become a
ubiquitous term in understanding and solving complex problems in
different disciplinary fields such as engineering, applied
mathematics, medicine, computational biology, healthcare, social
networks, finance, business, government, education, transportation and
telecommunications.
The goal of DataCom 2024 is to establish an international forum for
engineers and scientists to present their ideas and experiences in the
fields of Big Data intelligence and computing. DataCom 2024 welcomes
paper submissions on innovative work from researchers in academia,
industry and government describing original research work in Big
Data.
DataCom 2024 will be held on September 9-13, 2024, co-located with IOV
2024 in Poznan, Poland. Conferences will be held in hybrid mode.
Topics of interest include, but are not limited to:
* The 5Vs of the data landscape: volume, variety, velocity, veracity,
value
* Big data science and foundations, analytics, visualization and
semantics
* Software and tools for big data management.
* Security, privacy and legal issues specific to big data
* Big data economy, QoS and business models
* Scientific discovery and business intelligence
* Software, hardware and algorithm co-design, high-performance
computing
* Large-scale recommendation systems and graph analysis
* Infrastructures and systems for big data analytics and managements
* Middleware and tools for big data analytics and managements
* Algorithmic, experimental, prototyping and implementation
* Data quality issues: such as validation, metrics, optimizations and
consistency
* Data-driven innovation, computational modelling and data integration
* Data intensive computing theorems and technologies
* Big data for advanced manufacturing and productivity
* Modelling, simulation and performance evaluation
* Green data centers / environmental-friendly perspectives
* Computing, scheduling and resource management for sustainability
* Complex applications in areas where massive data is generated
PUBLICATION HIGHLIGHTS
Springer LNCS proceedings, indexed by
* ISI Conference Proceedings Citation Index - Science (CPCI-S),
included in ISI Web of Science
* Scopus
* EI Engineering Index
* ACM Digital Library
* dblp
* Google Scholar
Extended version of the selected papers will be invited for
publication in prestigious international journals.
IMPORTANT DATES
Tutorial / Workshop / Special Session Proposal Due: April 29, 2024
Paper Submission (Research Track): June 10, 2024
Paper Submission (Works-in-Progress/Workshop/Extended Abstract): June
10, 2024
Author Notification (Research/workshop/WIP): July 5, 2024
Registration deadline: July 25, 2024
Camera Ready Submission: September 30, 2024
SUBMISSION & PUBLICATION
Authors are invited to submit their original research work that has
not previously been submitted or published in any other venue. Papers
should be prepared in LNCS format and submitted via the DataCom 2024
submission page.
LNCS formatting information: Learn More
[http://www.springer.com/computer/lncs?SGWID=0-164-6-793341-0 ]
ORGANIZING COMMITTEES
General Chairs
* Cezary Mazurek, Poznan Supercomputing and Networking Center,
Poznań, Poland
* Xian-He Sun, Illinois Institute of Technology, USA
Program Chairs
* Bahman Javadi, University of Western Sydney, Australia
* Zhibin Zheng, Sun Yat-sen University, China
Demo/Workshop/Poster Chair
* Anna Grocholewska-Czuryło, PUT, Poznań, Poland
International Liaison & Publicity Chair
* Sotiris Moschoyiannis, University of Surrey, UK
* Hojjat Baghban, Chang Gung University, Taiwan
* Andrzej Stroinski, Poznan University of Technology, Poland
Publication Chair
* Jashnil Kumar, Fiji National University, Fiji
Advisory Committee
* Anna Kobusinska, Poznan University of Technology, Poland
* Beniamino Di Martino, Second University of Naples, Italy
* Christophe Cérin, Université Paris 13, France
* Rajiv Ranjan, Newcastle University, UK
* Vincent S. Tseng, National Chiao-Tung University, Taiwan
* Feng Xia, RMIT University, Australia
* Yeh-Ching Chung, The Chinese University of Hong Kong, Hong Kong
Steering Committee
* Sanjay Ranka, University of Florida, USA
* Robert Hsu, National Chung Cheng University, Taiwan
* Manish Parashar, Rutgers University, USA
* Hai Jin, HUST, China
* Jie Li, University of Tsukuba, Japan
* Yuanyuan Yang, Stony Brook University, USA
* Shawkat Ali, University of Fiji, Fiji
International Program Committee
Please visit the DataCom 2024 [https://data-com.org/] for the complete
listing of organizing committee and TPC members.
SUBMIT PAPER [https://data-com.org/submission.html]
CONFERENCE VENUE
LEARN MORE [https://data-com.org/venue.html]
Unsubscribe to no longer receive emails from us.
Hello!
We are happy to announce that there is now a free and publicly accessible
course on the learning platform, WikiLearn, on how to upload and edit files
on Wikimedia Commons using OpenRefine: *OpenRefine for Wikimedia Commons:
the basics*
<https://learn.wiki/courses/course-v1:Wikimedia-Foundation+WMF_GLAM001+2023/…>
.
OpenRefine <https://meta.wikimedia.org/wiki/OpenRefine> is a free
data-wrangling tool that can be used to process, manipulate, and clean
tabular (spreadsheet) data and connect it with knowledge bases, including
Wikidata and Wikimedia Commons.
This online course is available at any time, for free. Anyone with a
Wikimedia account can enroll with the click of a button. It can be followed
at your own pace, with computer-graded exercises. A certificate is awarded
at the end to those who complete the course.
The training is suitable for Wikimedians, Wikimedia affiliate staff, and
partners (e.g. GLAM staff and Wikimedians in Residence). Accomplishing the
course should take an average of 6 to 8 hours.
This course was developed as part of the Wikimedia Foundation's training
and sustainability grant to OpenRefine
<https://commons.wikimedia.org/wiki/Commons:OpenRefine/Training_2023-24>.
It is currently available in English and can be easily translated into
other languages (more about the translation process here
<https://studio.learn.wiki/meta_translations/discover_courses/> and here
<https://commons.wikimedia.org/wiki/File:Tutorial_on_how_to_translate_course…>).
Translations for this course in French, Spanish, and Portuguese are being
worked on and will be available very soon.
Please, feel free to share this course with people you think might be
interested in learning more about OpenRefine or Wikimedia Commons, who are
part of your network, in groups, social media, or any other places.
Thank you!
Best,
Giovanna & Sandra
Giovanna Fontenelle (she/her)
Program Officer, Culture and Heritage
Wikimedia Foundation <https://wikimediafoundation.org/>
Dear colleagues,
With apologies for cross-posting.
We are excited to announce the details of a collaborative AHRC-funded PhD entitled ‘Exploring the Importance of Provenance in Oral History Collections’. The project will be jointly supervised by the British Library Oral History team and the Department of Information Studies at UCL. Applications are now open and close on the 8th April 2024.
More information below, full details including application instructions is available on the UCL website. Please read the application information carefully – do not use the ‘apply now’ button on the listing.
Job details: PhD Studentship, AHRC Collaborative Doctoral Partnership (CDP) - ‘Exploring the Importance of Provenance in Oral History Collections’ (ucl.ac.uk)<https://www.ucl.ac.uk/work-at-ucl/search-ucl-jobs/details?nPostingId=9173&n…>
University College London (UCL) and the British Library are pleased to announce the availability of a fully funded Collaborative Doctoral Studentship from 1 October 2024 under the AHRC Collaborative Doctoral Partnership Scheme. This research will examine the importance of documenting provenance for archived oral history collections by exploring the value of records of provenance to archivists and oral history researchers, and how making such records available to researchers could enhance understanding of oral history interviews and the historiography of the discipline.
This project will be jointly supervised by Dr Andrew Flinn (Reader in Archive Studies and Oral History) and Dr Hannah Smyth (Lecturer in Archives and Records Management) in the Department of Information Studies at UCL (UCL:DIS) and by Dr Madeline White (Curator Oral History) and Mary Stewart (Lead Curator Oral History) at the British Library. The student will spend time with both UCL and the British Library and will become part of the wider cohort of AHRC CDP funded PhD students across the UK. UCL and the British Library are keen to encourage applications from a wide range of students and particularly welcome those currently underrepresented in doctoral student cohorts.
Informal Enquiries If you are interested in applying, you are welcome to contact the following for an informal discussion about this opportunity: Dr Andrew Flinn (a.flinn(a)ucl.ac.uk) and Dr Madeline White (madeline.white(a)bl.uk<mailto:madeline.white@bl.uk>)
Best wishes
Marco
Dr Marco Humbel (he/him)
Research Fellow in Participatory Research and Collections as Data
UCLDH Associate Director (ECR)
Department of Information Studies, UCL
Email: marco.humbel.17(a)ucl.ac.uk<mailto:marco.humbel.17@ucl.ac.uk>
Web: https://profiles.ucl.ac.uk/67801-marco-humbel/about