AI Adoption in Informal Economies: Youth Innovation in the Democratic Republic of the Congo - Replication Package
Abstract
Dataset Title: AI_Adoption_DRC_Replication_Package Study: AI Adoption in Informal Economies: Youth Innovation in the Democratic Republic of the Congo Author: Dr. Delphin B. Kyubwa, PhD (2026) License: Creative Commons Attribution 4.0 International (CC BY 4.0)Dataset DescriptionThis repository contains anonymized and aggregated analytical data supporting the findings of the study AI Adoption in Informal Economies: Youth Innovation in the Democratic Republic of the Congo. The dataset is structured to promote transparency, reproducibility, and ethical research dissemination while protecting participant confidentiality.The replication package includes:dataset_transcripts_deidentified.csv Structured, anonymized analytical excerpts derived from qualitative interviews. These excerpts illustrate thematic coding patterns and do not reproduce full interview transcripts.thematic_codebook.xlsx A structured coding framework linking empirical themes to Socio-Technical Systems (STS) theory, ICT4D scholarship, and the Capability Approach. The codebook includes theme definitions, inclusion criteria, and representative excerpts.tables_underlying_data.xlsx Aggregated quantitative summaries (frequencies and percentages) underlying the tables and figures reported in the published article.Ethical and Data Protection StatementNo personally identifiable information (PII) is included in this repository. Full interview transcripts are not shared in order to protect participant confidentiality and comply with ethical standards governing minimal-risk qualitative research. All released materials have been reviewed to minimize any risk of re-identification.Replicability NotesAll datasets are fully anonymized.Data are provided in open, machine-readable formats (CSV and XLSX).Variable names follow standardized conventions.No proprietary software or custom algorithms were used in the analysis.Findings can be replicated using standard qualitative coding procedures and descriptive statistical methods.For inquiries regarding this dataset, please contact the author via L'Université Technologique du Congo (UTC).
Fields of Study & Subjects
ICT in Developing Communities
Innovation and Socioeconomic Development
Ethics and Social Impacts of AI
Publication details
- Journal / source
- Figshare
- Publication date
- 1 January 2026
- Language
- EN
- Document type
- Dataset