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<!-- This is a very simple template to promote your academic event structured on only one scrolling page -->
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<p class="main-subtitle">International Conference</p>
<h1 class="main-title">Data ethics for historical research in a digital era</h1>
<hr class="color-dimgray hr-main">
<p class="main-subtitle-enlarged margin-bottom-button">Critical reflections and best practices</p>
<p class="main-subtitle">Mainz,10-12 November 2025</p>
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<h2 class="secondary-title color-white">About</h2>
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<p class="color-white justify p-section">The use of data, Artificial Intelligence (AI) and data science techniques are becoming increasingly pervasive in daily life and research activities, attracting many scholars to adopt them in historically oriented research with promising results. However, neither data nor computational techniques are neutral tools. Historical archives and datasets are themselves the products of selective curation reflecting underlying biases and power dynamics of the context of their creation and collection as well as inequities in access, infrastructure, and perspective. The datafication of historical sources risks to amplify these issues, introducing further challenges related to taxonomy, categorization, and conceptualization. <br> This may lead, if not countered, to the standardisation of diverse historical experiences into rigid categories, further entrenching existing biases as well as the under-representation of marginalized genders, cultures, social groups and identities, thus erasing pluralities in historical narratives. Since archives and data repositories in Europe often originated within imperial or colonial frameworks, shaping both the content and the perspective of the historical records they contain, these challenges are especially prevalent within European historical research and demand specific attention and ethical responsibilities. </p>
<p class="color-white justify p-section">Ethical concerns arise at <b>every stage of the data lifecycle</b>, from collection to dissemination, and it is necessary to consider them carefully in order to guarantee the fair, equal and non-discriminatory treatment of sensitive data. These challenges create the need for a <b>critical reflection</b> on <b>the ethical implications</b> of the handling of data and technologies in historical research and for <b>actionable solutions.</b> </p>
<p class="color-white justify p-section margin-bottom-section">While data ethics, ethical AI, and critiques of data colonialism practices are widely discussed within the data and computer science communities, historical researchers have engaged with these issues more sparingly. A cross-disciplinary dialogue, focused on the <b>unique challenges</b> and needs within <b>historical research</b>, is therefore essential. In particular, there is an urgent need for collaborative efforts to define, seek, and implement shared ethical guidelines and solutions. </p>
<p class="color-white justify p-section">This conference seeks to examine the ethical dimensions of data usage within historical research, fostering discussions among scholars that provide practical tools and strategies to navigate these challenges. Thus, the objectives of the conference are:
</p>
<ul class="color-white justify p-section">
<li>raising <b>awareness</b> in historical research of the ethical components of data use and data-driven research
</li>
<li>fostering <b>dialogue</b> among researchers who encounter ethical issues in their work
</li>
<li>increasing knowledge of <b>strategies and best practices</b> for ethical data use and enable participants to share their experiences, strategies and tools to address ethical issues in historical research.
</li>
</ul>
<p class="color-white justify p-section margin-bottom-section">To allow a worldwide participation, the language of the conference will be <b>English</b>. The conference will be an hybrid event, although the physical attendance of presenters will be preferred.
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<div class="container padding-section" id="cfp">
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<h2 class="secondary-title color-red">Call for proposals</h2>
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<h3 class="color-red">Themes and topics</h3>
<p class="color-black justify p-section margin-bottom-section">The conference invites to cover a range of themes and topics related to data ethics, unequal access to digital infrastructures in historical research, and representations of power, in the broad sense of every kind of historically-oriented disciplines (e.g., history of science, archaeology, history of art). We therefore invite researchers to submit papers on, but not limited to, the following topics, as applied in historical research:
</p>
<ul class="color-black justify p-section margin-bottom-section">
<li><b>Sensitive data</b>: Addressing ethical issues related to sensitive data (e.g. personal data, interviews, data on human remains) and their collection practices.
</li>
<li><b>Discriminatory language in databases</b>: Exploring the issues and implications of discriminatory (e.g. racist and racialising) language in databases, and discussing existing practices to address it. This theme also links historical research with the work of practitioners in GLAM institutions on the datasets and classification systems of their collections.
</li>
<li><b>AI ethics</b>: Raising awareness of ethical uses of AI tools in historical research, also with a focus on EU and global regulations. Highlighting the challenges historians face when working with these tools and the ethical issues they raise. Exploring how biases in AI training data affect historical research.
</li>
<li><b>Unequal representation of marginalized genders, cultures, social groups and identities</b>: Discussing who is represented in data sets and shedding light on links between under-representation and power, including gender diversity, data feminism, and related topics.
</li>
<li><b>Data storage and infrastructure</b>: Examining power structures inherent in data storage and infrastructure, including a post-colonial perspective and questions of data sovereignty, issues of access, control, and isolation.
</li>
<li><b>Environmental aspects</b>: Considering the environmental impact of data storage and discussing the sustainable use of computational methods.
</li>
<li><b>Misused data</b>: Addressing the exploitation of data to spread misinformation and its implications for historical research.
</li>
</ul>
<h3 class="color-red">Submission</h3>
<p class="color-black justify p-section margin-bottom-section">To foster the sharing of solutions and good practices, contributions that propose a concrete solution for the ethical issues encountered during the research are particularly encouraged.
In order to encourage cross-domain dissemination of common reflections and strategies, we welcome contributions from scholars in History and historically-orientated disciplines, computer sciences and digital humanities as well as from practitioners in GLAM institutions. </p>
<p class="color-black justify p-section">We invite researchers at all career levels to submit proposals, written in <b>English</b>, on, but not limited to, the above topics, in the form of abstracts.
Two types of submissions are welcomed: </p>
<ul class="color-black justify p-section">
<li><b>Presentations</b>: participants submit proposals for a 20-minute presentation (plus discussion). <b>Abstract length max. 500 words, references excluded.</b>
</li>
<li><b>Hands-on sessions</b>: participants submit proposals for hands-on sessions that show how to tackle the ethic-related topics when applied to practical historical research as outlined above. The application should include the desired length of the session and further material support needed. The maximum length of each session is 90 minutes. The sessions should be designed in a way that prior knowledge of the topic is not required. <b>Abstract length max. 750 words, references excluded.</b>
</li>
</ul>
<p class="color-black justify p-section margin-bottom-section"><b>The deadline for submissions is the 19 January 2025, 23:59 CET.</b></p>
<h3 class="color-red">Travel funding</h3>
<p class="color-black justify p-section margin-bottom-section">To encourage global participation, we aim to provide travel funding to support the selected speakers. However, we can only apply for travel funding once we have a clear understanding of the expected conference attendance and speaker demographics. Therefore, we ask applicants to indicate in their submission if they would like to apply for travel funding. We will make every effort to secure this support.
</p>
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<h2 class="secondary-title color-white">Submission</h2>
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<h3 class="center-text color-white no-margin-top thumbnail-title">Important dates</h3>
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<p class="color-black justify p-section">Deadline for submissions: <b>19<sup>th</sup> January 2025, 23:59 CET</b> <br>
Notification of acceptance: <b>15<sup>th</sup> February 2025</b> <br>
Conference subscription period: TBD <br>
Conference dates: <b>10<sup>th</sup>-12<sup>th</sup> November 2025</b>
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<h3 class="center-text color-white no-margin-top thumbnail-title">Submission</h3>
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<p class="color-black justify margin-bottom-button-half p-section">Submit your abstract through the following link:</p>
<p class="color-black justify p-section margin-bottom-section" style="text-align: center; margin-top: 10px;"><a href="https://data-ethics.sciencescall.org/" target="_blank" class="button-link button-round">
https://data-ethics.sciencescall.org/
</a>
<p class="color-black justify p-section">Download the <a href="doc-download/Data_Ethics_Conference_Mainz_2025_Abstract_submission_template.docx" download="submission-template" class="color-dimgray underline" target="_blank">submission template file</a></p>
</p>
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<h2 class="secondary-title color-black">Program</h2>
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<p class="color-black center p-section margin-bottom-section">Download the <a href="doc-download/DEHR2025_program_final.pdf" download="program" class="color-dimgray underline" target="_blank" rel="noopener noreferrer">program as a PDF file</a></p>
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<button class="button-round-dimgray margin-bottom-button" id="1st-program">10<sup>th</sup> November</button>
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<button class="button-round-empty-dimgray margin-bottom-button" id="2nd-program">11<sup>th</sup> November</button>
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<button class="button-round-empty-dimgray margin-bottom-button" id="3rd-program">12<sup>th</sup> November</button>
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<p class="program-title margin-bottom-button-half">Welcomes</p>
<p class="color-black justify p-section"><span class="bold">13:00</span> Arrival, Registration</p>
<p class="color-black justify p-section"><b>14:00 </b>Johannes Paulmann (Leibniz Institute of European History Mainz), Welcoming words</p>
<p class="color-black justify p-section margin-bottom-section"><b>14:10</b> Sofia Baroncini, Constanze Buyken, Elena Suárez Cronauer, <i>Data Ethics for historical research in a digital era – an introduction</i></p>
<p class="program-title margin-bottom-button-half">Session I: Data from colonial contexts</p>
<p class="color-black justify p-section">Chair: <span class="bold">John Carter Wood</span></p>
<p class="color-black justify p-section"><span class="bold">14:30</span> <u>Manjusha Kuruppath</u> (online), <u>Dung Phám</u>, <u>Juliette Huijgen</u>, <span class="italic">Liberating Labels. Decolonizing Language Use in Historical Collection Management and Data Contextualization</span></p>
</div>
<div class="col-md-6">
<p class="color-black justify p-section"><span class="bold">15:10</span> <u>Samuel Uwem Umoh</u>, <span class="italic">Decolonize, Indigenize and South Africa Indigenous Data</span></p>
<p class="color-black justify p-section"><span class="bold">15:50</span> <u>Eva Ommert</u>, Kathleen Schlütter, <span class="italic">Challenges in Data Ethics for Area Historians</span></p>
<p class="color-black justify p-section"><span class="bold">16:30 Coffee break</span></p>
<p class="color-black justify p-section"><span class="bold">16:50</span> <u>Sarah Lang</u>, <span class="italic">Documenting data gaps as an opportunity for historical research</span></p>
<p class="color-black justify p-section"><span class="bold">17:30</span> Ian Kisil Marino, <span class="italic">Comment</span></p>
<p class="color-black justify p-section"><span class="bold">17:40</span> Session discussion</p>
<p class="color-black justify p-section"><span class="bold">18:00 Break</span></p>
<p class="program-title margin-bottom-button-half">Closing event</p>
<p class="color-black justify p-section"><span class="bold">18:15</span> Piano Concert with Jennifer Klein (Kalkhof-Rose-Saal)</p>
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<!-- 11 november -->
<div class="row 2nd-day-program" style="display: none;">
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<p class="program-title margin-bottom-button-half">Session II: Sensitive Data and Discriminatory language</p>
<p class="color-black justify p-section">Chairs: <span class="bold">Torsten Schrade, Aline Deicke</span></p>
<p class="color-black justify p-section"><span class="bold">9:30</span> <u>Milan Van Lange</u>, <u>Carlijn Keijzer</u>, <span class="italic">Egodocuments, Data Ethics, and Navigating Transformations in the Archive</span></p>
<p class="color-black justify p-section"><span class="bold">10:10</span> <u>Virginia Gg Niri</u> (online) and <a href="https://csc.dei.unipd.it/roads-project/">ROADS Project</a>, <span class="italic">Legal but not enough ethical: the reuse of legacy data</span></p>
<p class="color-black justify p-section"><span class="bold">10:50 Coffee break</span></p>
<p class="color-black justify p-section"><span class="bold">11:20</span> <u>Anne Klammt</u>, Agnes Arndt, <u>Christoph Hanzig</u>, Mike Schmeitzner, Francesca Weil, <span class="italic">Ethical Challenges in Contemporary History Data. Insights from four Case Studies</span></p>
<p class="color-black justify p-section"><span class="bold">12:00</span> <u>Gabriele Zöllner</u> (online), <u>Rebekka Reichert</u>, <span class="italic">Discrimatory?! Navigating Historical and Contemporary Sources for Provenance Research</span></p>
<p class="color-black justify p-section"><span class="bold">12:40</span> Cindarella Petz <span class="italic">Comment</span></p>
<p class="color-black justify p-section"><span class="bold">12:50</span> Session discussion</p>
<p class="color-black justify p-section margin-bottom-section"><span class="bold">13:10 Lunch Break</span> </p>
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<div class="col-md-6">
<p class="program-title margin-bottom-button-half">Session III: Ethical AI </p>
<p class="color-black justify p-section">Chair: <span class="bold">Jonatan Steller</span></p>
<p class="color-black justify p-section"><span class="bold">14:10</span> <u>Katarzyna Jarosz</u> (online), <span class="italic">Ethical Issues in AI Integration in Museums</span></p>
<p class="color-black justify p-section"><span class="bold">14:50</span> <u>Finola Finn</u>, <u>Donal Khosrowi</u>, <span class="italic">AI-assistants in the archive and the lure of “instant history”</span></p>
<p class="color-black justify p-section"><span class="bold">15:30</span> Sarah Oberbichler, <span class="italic">Comment</span></p>
<p class="color-black justify p-section"><span class="bold">15:40</span> Session discussion</p>
<p class="color-black justify p-section margin-bottom-section"><span class="bold">16:00 Coffee break</span></p>
<p class="program-title margin-bottom-button-half">Keynote Lecture </p>
<p class="color-black justify p-section"><span class="bold">16:15</span> <u>Kerstin Herlt</u>, coordinator of the European project <a href="https://www.dff.film/en/erkunden/digital-international/de-bias-detecting-and-curating-harmful-language-in-cultural-heritage-collections/">DE-BIAS</a> - Detecting and cur(at)ing harmful language in cultural heritage collections</p>
<p class="color-black justify p-section"><span class="bold">17:45 Reception</span></p>
</div>
</div>
<!-- 12 november -->
<div class="row 3rd-day-program" style="display: none;">
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<p class="program-title margin-bottom-button-half">Session IV: Hands on</p>
<p class="color-black justify p-section">Chair: <span class="bold">Fabian Cremer</span></p>
<p class="color-black justify p-section"><span class="bold">9:00</span> <u>Maria Eskevich</u>, <u>Sebastiaan Derks</u>, <u>Mirjam Raaphorst</u> (online), <u>Steven Claeyssens</u> (online), <span class="italic">Contextualise your Datasets with Data-Envelopes and Datasheets. Hands-on Session with Support of a SSHOC-NL Webtool</span></p>
<p class="color-black justify p-section margin-bottom-section"><span class="bold">10:30 Coffee break</span></p>
<p class="program-title margin-bottom-button-half">Session V: Archival and documenting practices</p>
<p class="color-black justify p-section">Chair: <span class="bold">Christian Schröter</span></p>
<p class="color-black justify p-section"><span class="bold">10:50</span> <u>Niels Brügger</u>, <span class="italic">Data Ethics in Web Archives: Critical Reflections on the use of the Archived Web as a Source in Historical Studies</span></p>
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<p class="color-black justify p-section"><span class="bold">11:30</span> <u>Pedro Telles Da Silveira</u>, <span class="italic">Archiving and the non-event: AI, large media datasets and banal surveillance regarding contemporary historical events - A proposal from Brazil's January 8 failed coup d'état</span></p>
<p class="color-black justify p-section"><span class="bold">12:10</span> Thorsten Wübbena, <span class="italic">Comment</span></p>
<p class="color-black justify p-section"><span class="bold">12:20</span> Session discussion</p>
<p class="color-black justify p-section"><span class="bold">12:40</span> Sofia Baroncini, Constanze Buyken, Elena Suárez Cronauer, <span class="italic">Closing remarks</span></p>
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<p class="color-black justify p-section margin-bottom-section"><b>Kerstin Herlt</b> works as an EU project coordinator at the DFF – Deutsches Filminstitut & Filmmuseum (German Film Institute & Film Museum). The focus of these projects is to improve access to and reuse of film heritage data, as well as to develop innovative tools for managing this data. Recently, she coordinated the EU-funded project <a href="https://pro.europeana.eu/project/de-bias">DE-BIAS</a>, which takes an AI-driven approach to <b>identifying harmful language in archival collection descriptions</b>. She holds a Master's degree in Romance Studies, Sociology and European Media Studies.</p>
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<h3 class="color-red">Keynote speech: the DE-BIAS project</h3>
<p class="color-black justify p-section margin-bottom-section">The DE-BIAS project has developed an <b>AI-powered tool</b> to automatically detect and contextualize outdated or discriminatory terms in metadata of cultural heritage collections—drawing on a vocabulary co-created with minoritized communities across themes like migration, gender, and ethnicity. It enables cultural heritage institutions to <b>identify problematic language</b> and receive <b>suggestions for respectful, contemporary alternatives</b>. The DE-BIAS approach supports capacity building through community engagement, workshops, and a published methodology to help cultural institutions embed inclusive cataloging practices.</p>
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