Electoral Integrity Project (EIP)

An independent academic project founded in 2012, the Electoral Integrity Project addresses three questions: How and when do elections fail throughout the electoral cycle? What are the consequences of failed elections, such as for security, accessibility and trust? And what can be done to mitigate these problems, based on academic evidence? The Electoral Integrity Project produces innovative and policy-relevant research comparing elections worldwide.

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1 to 10 of 27 Results

Perceptions of Electoral Integrity, (PEI-11.0) Jul 2, 2025 - Perceptions of Electoral Integrity Dataverse Garnett, Holly Ann; James, Toby S.; Caal-Lam, Sofia, 2025, "Perceptions of Electoral Integrity, (PEI-11.0)", https://doi.org/10.7910/DVN/EDY2V0, Harvard Dataverse, V1, UNF:6:0MPrJMXq9iz3OrFVOtnvHg== [fileUNF] This dataset by the Electoral Integrity Project evaluates the quality of elections held around the world. Based on a rolling survey collecting the views of election experts, this research provides independent and reliable evidence to compare whether countries meet international standards of electoral integrity. PEI-11.0 cumulative release covers 64...
Perceptions of Electoral Integrity-UK, (PEI-UK 2.0) Oct 25, 2024 - Perceptions of Electoral Integrity Dataverse James, Toby S.; Garnett, Holly Ann; Caal-Lam, Sofia, 2024, "Perceptions of Electoral Integrity-UK, (PEI-UK 2.0)", https://doi.org/10.7910/DVN/G4RWOS, Harvard Dataverse, V1 This codebook describes an expert survey on Perceptions of Electoral Integrity (PEI). The original PEI survey asks experts to evaluate electoral integrity after national-level elections around the world. However, the Project has also occasionally provided data on sub-national elections. This codebook describes all variables included in the dataset...
Perceptions of Electoral Integrity, (PEI-10.0) Jul 19, 2024 - Perceptions of Electoral Integrity Dataverse Garnett, Holly Ann; James, Toby S.; Caal-Lam, Sofia, 2024, "Perceptions of Electoral Integrity, (PEI-10.0)", https://doi.org/10.7910/DVN/FQ5ECC, Harvard Dataverse, V1, UNF:6:tI5veRV9TUuBAAOMlgUsRA== [fileUNF] This dataset by the Electoral Integrity Project evaluates the quality of elections held around the world. Based on a rolling survey collecting the views of election experts, this research provides independent and reliable evidence to compare whether countries meet international standards of electoral integrity. PEI-10.0 cumulative release covers 58...
Perceptions of Electoral Integrity, (PEI-9.0) Jun 30, 2023 - Perceptions of Electoral Integrity Dataverse Garnett, Holly Ann; James, Toby S.; MacGregor, Madison; Caal-Lam, Sofia, 2023, "Perceptions of Electoral Integrity, (PEI-9.0)", https://doi.org/10.7910/DVN/2MFQ9K, Harvard Dataverse, V1, UNF:6:spNKXn/mJ6i0X7PJCsYXsg== [fileUNF] This dataset by the Electoral Integrity Project evaluates the quality of elections held around the world. Based on a rolling survey collecting the views of election experts, this research provides independent and reliable evidence to compare whether countries meet international standards of electoral integrity. PEI-9.0 cumulative release covers 547...
Electoral Management Survey, (EMS-2.0) May 16, 2023 James, Toby S.; Garnett, Holly Ann, 2023, "Electoral Management Survey, (EMS-2.0)", https://doi.org/10.7910/DVN/Z7XVMC, Harvard Dataverse, V1, UNF:6:C5AOksQAF5Dn6QOp3II7+w== [fileUNF] This dataset by the Electoral Integrity Project covers a global expert survey of electoral management bodies undertaken during the summer of 2021. The Electoral Management Survey (EMS) 2.0 asks electoral officials about how elections are run in their respective jurisdictions. The codebook describes all variables included in the dataset release of M...
Perceptions of Electoral Integrity, (PEI-8.5) Mar 29, 2023 - Perceptions of Electoral Integrity Dataverse Garnett, Holly Ann; James, Toby S.; MacGregor, Madison; Caal-Lam, Sofia, 2023, "Perceptions of Electoral Integrity, (PEI-8.5)", https://doi.org/10.7910/DVN/KMZIU4, Harvard Dataverse, V1, UNF:6:fc0EDJs+JluAQ2YFxNrMNg== [fileUNF] This dataset by the Electoral Integrity Project evaluates the quality of elections held around the world. Based on a rolling survey collecting the views of election experts, this research provides independent and reliable evidence to compare whether countries meet international standards of electoral integrity. PEI-8.5 cumulative release covers 497...
Dataset - Electoral Legislation by Country Mar 29, 2023 Garnett, Holly Ann; James, Toby S.; MacGregor, Madison; Caal-Lam, Sofia, 2023, "Dataset - Electoral Legislation by Country", https://doi.org/10.7910/DVN/TIH5FK, Harvard Dataverse, V1 This is a dataset of national election legislation from 165 countries. This study was conducted by Holly Ann Garnett, Toby S. James, Madison MacGregor, and Sofia Caal-Lam based at the Royal Military College of Canada, Queen’s University, and the University of East Anglia. Research was conducted from May 2020 to February 2023. The Electoral Legislat...
Perceptions of Electoral Integrity, (PEI-8.0) May 18, 2022 - Perceptions of Electoral Integrity Dataverse Garnett, Holly Ann; James, Toby S.; MacGregor, Madison, 2022, "Perceptions of Electoral Integrity, (PEI-8.0)", https://doi.org/10.7910/DVN/YSNYXD, Harvard Dataverse, V1, UNF:6:lINJ6KG6BcEwGIXz7tM4Yg== [fileUNF] This dataset by the Electoral Integrity Project evaluates the quality of elections held around the world. Based on a rolling survey collecting the views of election experts, this research provides independent and reliable evidence to compare whether countries meet international standards of electoral integrity. PEI-8.0 cumulative release covers 480...
Perceptions of Electoral Integrity, (PEI-7.0) May 11, 2019 - Perceptions of Electoral Integrity Dataverse Norris, Pippa; Grömping, Max, 2019, "Perceptions of Electoral Integrity, (PEI-7.0)", https://doi.org/10.7910/DVN/PDYRWL, Harvard Dataverse, V2, UNF:6:2wnukYraCZzg+gojPE/Ijg== [fileUNF] This dataset by the Electoral Integrity Project evaluates the quality of elections held around the world. Based on a rolling survey collecting the views of election experts, this research provides independent and reliable evidence to compare whether countries meet international standards of electoral integrity. PEI-7.0 cumulative release covers 336...
Perceptions of Electoral Integrity - US 2018 (PEI_US_2018) Apr 28, 2019 - Perceptions of Electoral Integrity Dataverse Norris, Pippa; Grömping, Max; Garnett, Holly Ann, 2019, "Perceptions of Electoral Integrity - US 2018 (PEI_US_2018)", https://doi.org/10.7910/DVN/METZ3U, Harvard Dataverse, V1, UNF:6:7JBHz/gcYX7XGScu+wgbSw== [fileUNF] This data-set by the Electoral Integrity Project evaluates the integrity of the US congressional election held on 6 November 2018. Based on a survey collecting the views of US-based political scientists, this research provides independent and reliable evidence to assess whether the 2018 congresional election met international standards of electoral...

Perceptions of Electoral Integrity, (PEI-11.0)

Jul 2, 2025 - Perceptions of Electoral Integrity Dataverse

Garnett, Holly Ann; James, Toby S.; Caal-Lam, Sofia, 2025, "Perceptions of Electoral Integrity, (PEI-11.0)", https://doi.org/10.7910/DVN/EDY2V0, Harvard Dataverse, V1, UNF:6:0MPrJMXq9iz3OrFVOtnvHg== [fileUNF]

This dataset by the Electoral Integrity Project evaluates the quality of elections held around the world. Based on a rolling survey collecting the views of election experts, this research provides independent and reliable evidence to compare whether countries meet international standards of electoral integrity. PEI-11.0 cumulative release covers 64...

Perceptions of Electoral Integrity-UK, (PEI-UK 2.0)

Oct 25, 2024 - Perceptions of Electoral Integrity Dataverse

James, Toby S.; Garnett, Holly Ann; Caal-Lam, Sofia, 2024, "Perceptions of Electoral Integrity-UK, (PEI-UK 2.0)", https://doi.org/10.7910/DVN/G4RWOS, Harvard Dataverse, V1

This codebook describes an expert survey on Perceptions of Electoral Integrity (PEI). The original PEI survey asks experts to evaluate electoral integrity after national-level elections around the world. However, the Project has also occasionally provided data on sub-national elections. This codebook describes all variables included in the dataset...

Perceptions of Electoral Integrity, (PEI-10.0)

Jul 19, 2024 - Perceptions of Electoral Integrity Dataverse

Garnett, Holly Ann; James, Toby S.; Caal-Lam, Sofia, 2024, "Perceptions of Electoral Integrity, (PEI-10.0)", https://doi.org/10.7910/DVN/FQ5ECC, Harvard Dataverse, V1, UNF:6:tI5veRV9TUuBAAOMlgUsRA== [fileUNF]

Perceptions of Electoral Integrity, (PEI-9.0)

Jun 30, 2023 - Perceptions of Electoral Integrity Dataverse

Garnett, Holly Ann; James, Toby S.; MacGregor, Madison; Caal-Lam, Sofia, 2023, "Perceptions of Electoral Integrity, (PEI-9.0)", https://doi.org/10.7910/DVN/2MFQ9K, Harvard Dataverse, V1, UNF:6:spNKXn/mJ6i0X7PJCsYXsg== [fileUNF]

Electoral Management Survey, (EMS-2.0)

May 16, 2023

James, Toby S.; Garnett, Holly Ann, 2023, "Electoral Management Survey, (EMS-2.0)", https://doi.org/10.7910/DVN/Z7XVMC, Harvard Dataverse, V1, UNF:6:C5AOksQAF5Dn6QOp3II7+w== [fileUNF]

This dataset by the Electoral Integrity Project covers a global expert survey of electoral management bodies undertaken during the summer of 2021. The Electoral Management Survey (EMS) 2.0 asks electoral officials about how elections are run in their respective jurisdictions. The codebook describes all variables included in the dataset release of M...

Perceptions of Electoral Integrity, (PEI-8.5)

Mar 29, 2023 - Perceptions of Electoral Integrity Dataverse

Garnett, Holly Ann; James, Toby S.; MacGregor, Madison; Caal-Lam, Sofia, 2023, "Perceptions of Electoral Integrity, (PEI-8.5)", https://doi.org/10.7910/DVN/KMZIU4, Harvard Dataverse, V1, UNF:6:fc0EDJs+JluAQ2YFxNrMNg== [fileUNF]

Dataset - Electoral Legislation by Country

Mar 29, 2023

Garnett, Holly Ann; James, Toby S.; MacGregor, Madison; Caal-Lam, Sofia, 2023, "Dataset - Electoral Legislation by Country", https://doi.org/10.7910/DVN/TIH5FK, Harvard Dataverse, V1

This is a dataset of national election legislation from 165 countries. This study was conducted by Holly Ann Garnett, Toby S. James, Madison MacGregor, and Sofia Caal-Lam based at the Royal Military College of Canada, Queen’s University, and the University of East Anglia. Research was conducted from May 2020 to February 2023. The Electoral Legislat...

Perceptions of Electoral Integrity, (PEI-8.0)

May 18, 2022 - Perceptions of Electoral Integrity Dataverse

Garnett, Holly Ann; James, Toby S.; MacGregor, Madison, 2022, "Perceptions of Electoral Integrity, (PEI-8.0)", https://doi.org/10.7910/DVN/YSNYXD, Harvard Dataverse, V1, UNF:6:lINJ6KG6BcEwGIXz7tM4Yg== [fileUNF]

Perceptions of Electoral Integrity, (PEI-7.0)

May 11, 2019 - Perceptions of Electoral Integrity Dataverse

Norris, Pippa; Grömping, Max, 2019, "Perceptions of Electoral Integrity, (PEI-7.0)", https://doi.org/10.7910/DVN/PDYRWL, Harvard Dataverse, V2, UNF:6:2wnukYraCZzg+gojPE/Ijg== [fileUNF]

Perceptions of Electoral Integrity - US 2018 (PEI_US_2018)

Apr 28, 2019 - Perceptions of Electoral Integrity Dataverse

Norris, Pippa; Grömping, Max; Garnett, Holly Ann, 2019, "Perceptions of Electoral Integrity - US 2018 (PEI_US_2018)", https://doi.org/10.7910/DVN/METZ3U, Harvard Dataverse, V1, UNF:6:7JBHz/gcYX7XGScu+wgbSw== [fileUNF]

This data-set by the Electoral Integrity Project evaluates the integrity of the US congressional election held on 6 November 2018. Based on a survey collecting the views of US-based political scientists, this research provides independent and reliable evidence to assess whether the 2018 congresional election met international standards of electoral...

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