You can read the full text of the short and long abstract on zenodo:

https://zenodo.org/records/19237858

I ll be presenting these ideas in a 10 min short talk. Feedback is welcome, especially from #qualitativeresearch : did we portray the process of data creation more or less acurately? Did we miss an important tool to ensure rigor?

Be kind, I am dipping my feet for the first time into these waters 😅
I am also hoping to develop this into a full paper!

Abstracts of the Short Talk "What would qualitative data do to machine learning pipelines?"

Submission to EHBEA 2026, Leiden. The abstract was accepted for a short talk in the AI track of the conference. Abstracts as submitted to the conference (short form) and as extended for the book of abstracts (long form).  

Zenodo

Researcher bias can slip into your study through everyday decisions, from sampling to interpretation. Common forms include selection, confirmation, interpretation, and reporting bias. You can reduce these risks with reflexive notes, peer debriefing, triangulation, member checking, and clear audit trails.
Learn more: https://qdacity.com/researcher-bias/

#QualitativeResearch #CAQDAS #ResearchMethods #Research

#QualitativeResearch #AcademicChatter question: Are there online software platforms that facilitate free sorting? I.e. participants individually sort statements a into a freely chosen number of piles and give those piles a name? (This is the sorting step in Group Concept Mapping.) The commonly used platforms like Qualtrics or RedCAP don't support this AFAIK.

Collaboration brings diverse insights to qualitative research, but also logistical challenges. Coordinating coding, managing documents, and maintaining consistency can become complex in group settings. QDAcity supports shared access, real-time collaboration, and organized workflows to help research teams stay focused on analysis.
Learn more about supporting collaborative work: https://qdacity.com/qda-software-for-research-groups/

#Research #PhD #CAQDAS #QualitativeResearch #QDAcity #ResearchMethods

#HelloESR #Introduction Hello from “Blood and Data Flows: Exploring MenstruTech,” a French ANR-funded research project led by @moossye .

We study menstrual cycle tracking apps from the perspective of user practices as well as their back-end infrastructures. We are currently wrapping up a year-long investigation with app designers and with scientists who conduct research using the data these platforms generate. Our work is grounded in #Feminist and #Queer #STS, and examines how data derived from gendered bodily experiences circulate—and how knowledge is produced from them.

Oh, and btw, we also monitor how conservative and neo-fascist movements weaponize digital technologies against minorities… because we enjoy keeping things light and optimistic.

#FeministSTS #QueerStudies #DigitalHealth #DataStudies #CriticalData #PlatformStudies #GenderAndTechnology #ReproductiveHealth #QualitativeResearch

you really cant trust blog articles after 2022 (chatgpt release) anymore

im trying to switch my workstation to fedora and I need MAXQDA. Articles suggest its as easy as "just install with wine" but in reality its broken :(

#linux #qualitativeresearch #maxqda

Strong research begins with dependable analysis. In qualitative studies, ensuring reliability is not optional, it is essential. Strategies like test-retest, inter-rater checks, parallel forms, and internal consistency contribute to more credible findings. Whether for a thesis, dissertation, or applied research, these methods help build trust in your results.
QDAcity offers tools and guides to support their use: https://qdacity.com/reliability/

#Research #QDA #CAQDAS #PhD #QualitativeResearch #Student

Dear #QualitativeResearch people! 🎙️

We need your help - more specifically, your exported projects 🙂 We're working on a way to liberate qualitative projects from Closed, proprietary software such as NVivo, Atlas, MaxQDA, Dedoose, etc.

This project will allow converting projects exported to the REFI-QDA file format to the Reproducible Open Coding Kit project format, which is much more accessible, much simpler to work with in other software, and so lends itself better for #OpenScience.

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Teaching qualitative data analysis means balancing conceptual depth with practical application. QDAcity helps you do both.
Create course spaces with your own materials, guide students step by step through coding, and use inter-coder tools to support scalable, transparent assessment.
It promotes collaboration and mirrors real-world qualitative research, preparing students with tools they’ll actually use.
https://qdacity.com/teaching-qda/

#QualitativeResearch #QualitativeDataAnalysis #ResearchMethods #QDA