CIRCLET Anonymization Workshop

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About you & your project

Full name *

Email address *

Institution / Organisation *

Project name or acronym

Current position / role *

Select the option that best describes you.

PhD Researcher / Doctoral Candidate Postdoctoral Researcher Research Staff / Research Associate Principal Investigator / Project Lead Data Engineer / Software Developer Data Manager / Research Data Officer Other — specify below

Project type *

Current SPP 2431 project Prospective / future SPP project Other funded research project Industry / non-academic Other — specify below

Research domain(s) *

Select all that apply.

NLP / Computational Linguistics Clinical / Biomedical Legal / Judicial Social Sciences / Humanities Computational Social Science Media / Journalism / Communication Other — specify below

If other domain, please specify

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Data & anonymization needs

Main anonymization challenges your project faces

Select all that apply.

Named entity recognition (persons, organisations, locations) Pseudonymisation and replacement strategies Indirect identifiers and quasi-identifiers Anonymization in multilingual or low-resource settings Legal compliance (GDPR, data-sharing agreements) Evaluation and quality assurance of anonymized data Building or integrating an anonymization pipeline Other

Describe your current anonymization workflow (if any)

E.g. manual annotation, off-the-shelf tools, custom scripts, or none yet.

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Expertise & expectations

Your personal familiarity with text anonymization *

1 = No prior experience · 5 = Advanced / expert

Novice

Expert

Your team’s overall familiarity with text anonymization *

Rate the team as a whole, independent of your personal score above.

Novice

Expert

What type of workshop content would be most valuable? *

Primarily theoreticalConcepts, taxonomy, legal/ethical frameworks Balanced mixTheory overview + hands-on demonstrations Primarily hands-on / practicalWorking directly with CIRCLET / DUUI on data samples

Which CIRCLET / DUUI capabilities are you most interested in?

Select all that apply.

Annotation and tagging interface Automatic NER-based anonymization (via DUUI) Pseudonymisation / replacement engine API / pipeline integration with DUUI Evaluation and validation module Multilingual support Unified Corpus Explorer (UCE) for data exploration Not sure yet — I’d like to learn more first

Any specific questions or topics for the workshop?

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Attendance

How do you plan to attend (8 July 2026)? *

In personTTLab, Goethe University Frankfurt am Main Remote via ZoomLink will be shared in advance Not sure yet Unable to attend — but happy to contribute via survey

How many colleagues from your project might attend?

CIRCLET Anonymization Workshop — Needs Assessment