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Publication Year: 2024

31 to 40 of 41 Results

Detailed overview of trade balance per ME category.tab Mar 7, 2024 - Supplementary Data for a Paper on China’s Maritime Equipment Industry Policies Tabular Data - 4.5 KB - 10 Variables, 33 Observations - UNF:6:69U3DY/exrmi+jTWVg7nJw==
Figures of EU-China trade balance per ME category.pdf Mar 7, 2024 - Supplementary Data for a Paper on China’s Maritime Equipment Industry Policies Adobe PDF - 96.1 KB - MD5: a76118f3637af21e33cb8208eba4b1d2 Detailed figures of trade balance China-EU per maritime equipment category.
Overview of HS codes ME industry with reversed trade balance.csv Mar 7, 2024 - Supplementary Data for a Paper on China’s Maritime Equipment Industry Policies Comma Separated Values - 8.1 KB - MD5: 2e2b1888cc480c9632ba0736e987898d Detailed overview of HS codes mentioned in paper.
Overview of HS codes ME industry with reversed trade balance.tab Mar 7, 2024 - Supplementary Data for a Paper on China’s Maritime Equipment Industry Policies Tabular Data - 8.3 KB - 2 Variables, 82 Observations - UNF:6:i3baQqxebMQKIlKcVADAMg==
Fairness perceptions of AI use by tax administration Mar 7, 2024 Decuypere, Anouk; Anne Van de Vijver, 2024, "Fairness perceptions of AI use by tax administration", https://doi.org/10.34934/DVN/1NHGXH, Social Sciences and Digital Humanities Archive – SODHA, V1, UNF:6:bX3joxuUwAPJ8WTD68gU6g== [fileUNF] We tested whether the proportion of AI versus auditors in fraud selection matters for fairness, and whether there is an impact of transparency (explanations). We found that a higher proportion of AI was more procedurally fair, mostly through bias suppression and consistency, and...
Sample 1 SODHA.csv Mar 7, 2024 - Fairness perceptions of AI use by tax administration Comma Separated Values - 68.2 KB - MD5: a3020029e86637f09f4af1d4768b6f29 Students and professionals in Flanders
Sample 1 SODHA.tab Mar 7, 2024 - Fairness perceptions of AI use by tax administration Tabular Data - 69.6 KB - 85 Variables, 232 Observations - UNF:6:sHvdJohBiB3cDh0UzSIXCw== SPSS datafile
Sample 2 SODHA.csv Mar 7, 2024 - Fairness perceptions of AI use by tax administration Comma Separated Values - 904.7 KB - MD5: 7c3d7d4dc4fc86be0d82b0962a37bccd A representative sample of Flanders
Sample 2.tab Mar 7, 2024 - Fairness perceptions of AI use by tax administration Tabular Data - 943.5 KB - 98 Variables, 2366 Observations - UNF:6:4wDd4zl/OxBFFKe5bazIJQ== SPSS datafile
Transcripts of in-depth interviews: "From moral distress to resilient ethical climate among general practitioners: fostering awareness. A qualitative pilot study." Mar 7, 2024 Saerens, Anton; Raf Coremans, 2024, "Transcripts of in-depth interviews: "From moral distress to resilient ethical climate among general practitioners: fostering awareness. A qualitative pilot study."", https://doi.org/10.34934/DVN/VXQOFZ, Social Sciences and Digital Humanities Archive – SODHA, V1 Raw data (transcripts of in-depth interviews) from qualitative research study "From moral distress to resilient ethical climate among general practitioners: fostering awareness. A qualitative pilot study."

Detailed overview of trade balance per ME category.tab

Mar 7, 2024 - Supplementary Data for a Paper on China’s Maritime Equipment Industry Policies

Tabular Data - 4.5 KB - 10 Variables, 33 Observations -

Figures of EU-China trade balance per ME category.pdf

Mar 7, 2024 - Supplementary Data for a Paper on China’s Maritime Equipment Industry Policies

Adobe PDF - 96.1 KB -

Detailed figures of trade balance China-EU per maritime equipment category.

Overview of HS codes ME industry with reversed trade balance.csv

Mar 7, 2024 - Supplementary Data for a Paper on China’s Maritime Equipment Industry Policies

Comma Separated Values - 8.1 KB -

Detailed overview of HS codes mentioned in paper.

Overview of HS codes ME industry with reversed trade balance.tab

Mar 7, 2024 - Supplementary Data for a Paper on China’s Maritime Equipment Industry Policies

Tabular Data - 8.3 KB - 2 Variables, 82 Observations -

Fairness perceptions of AI use by tax administration

Mar 7, 2024

Decuypere, Anouk; Anne Van de Vijver, 2024, "Fairness perceptions of AI use by tax administration", https://doi.org/10.34934/DVN/1NHGXH, Social Sciences and Digital Humanities Archive – SODHA, V1, UNF:6:bX3joxuUwAPJ8WTD68gU6g== [fileUNF]

We tested whether the proportion of AI versus auditors in fraud selection matters for fairness, and whether there is an impact of transparency (explanations). We found that a higher proportion of AI was more procedurally fair, mostly through bias suppression and consistency, and...

Sample 1 SODHA.csv

Mar 7, 2024 - Fairness perceptions of AI use by tax administration

Comma Separated Values - 68.2 KB -

Students and professionals in Flanders

Sample 1 SODHA.tab

Mar 7, 2024 - Fairness perceptions of AI use by tax administration

Tabular Data - 69.6 KB - 85 Variables, 232 Observations -

SPSS datafile

Sample 2 SODHA.csv

Mar 7, 2024 - Fairness perceptions of AI use by tax administration

Comma Separated Values - 904.7 KB -

A representative sample of Flanders

Sample 2.tab

Mar 7, 2024 - Fairness perceptions of AI use by tax administration

Tabular Data - 943.5 KB - 98 Variables, 2366 Observations -

SPSS datafile

Transcripts of in-depth interviews: "From moral distress to resilient ethical climate among general practitioners: fostering awareness. A qualitative pilot study."

Mar 7, 2024

Saerens, Anton; Raf Coremans, 2024, "Transcripts of in-depth interviews: "From moral distress to resilient ethical climate among general practitioners: fostering awareness. A qualitative pilot study."", https://doi.org/10.34934/DVN/VXQOFZ, Social Sciences and Digital Humanities Archive – SODHA, V1

Raw data (transcripts of in-depth interviews) from qualitative research study "From moral distress to resilient ethical climate among general practitioners: fostering awareness. A qualitative pilot study."

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