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Gender-responsive remote data collection, analysis, and use during crisis: UN Women's Rapid Gender Assessments (RGAs).

• Authors : Encarnacion, Jessamyn¹ (AUTHOR) ; Seck, Papa¹ (AUTHOR); Tabaco, Rea Jean¹ (AUTHOR)

• Source: Statistical Journal of the IAOS. 2022, Vol. 38 Issue 3, p831-837. 7p.

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Utilizing big data to measure key connections between gender and climate change1.

• Authors : Valero, Sara Duerto¹ (AUTHOR); Emandi, Ramya¹ (AUTHOR); Encarnacion, Jessamyn¹ (AUTHOR)

• Source: Statistical Journal of the IAOS. 2022, Vol. 38 Issue 3, p973-994. 22p.

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Gender-responsive remote data collection, analysis, and use during crisis: UN Women’s Rapid Gender Assessments (RGAs)

• Authors : Jessamyn Encarnacion; Papa Seck; Rea Jean Tabaco

Subjects: Economics and Econometrics; Statistics, Probability and Uncertainty; Management Information Systems

• Source: Statistical Journal of the IAOS. 38:831-837

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Utilizing big data to measure key connections between gender and climate change1.

• Authors : Valero, Sara Duerto¹ (AUTHOR); Emandi, Ramya¹ (AUTHOR); Encarnacion, Jessamyn¹ (AUTHOR)

Subjects: *CLIMATE change mitigation; *BIG data; *CLIMATE change

• Source: Statistical Journal of the IAOS. 2022, Vol. 38 Issue 3, p973-994. 22p.

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Utilizing big data to measure key connections between gender and climate change1

• Authors : Sara Duerto Valero; Ramya Emandi; Jessamyn Encarnacion

Subjects: Economics and Econometrics; Statistics, Probability and Uncertainty; Management Information Systems

• Source: Statistical Journal of the IAOS. 38:973-994

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Avoiding gender bias in agricultural surveys: An official statistics guide for data collection and dissemination.

• Authors : Ayhan, H. Öztaş¹

• Source: Statistical Journal of the IAOS. 2016, Vol. 32 Issue 3, p371-373. 3p.

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A nationally representative economic survey five months after the Haitian earthquake: Radical changes in household members and gender discrepancy in employment retention.

• Authors : Kim, Ryung S.; Ashley, James D.; Corcoran, Mary E.¹

• Source: Statistical Journal of the IAOS. 2014, Vol. 30 Issue 4, p341-346. 6p.

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Avoiding gender bias in agricultural surveys: An official statistics guide for data collection and dissemination

• Authors : H. Öztaş Ayhan

Subjects: Economics and Econometrics; Official statistics; Data collection

• Source: Statistical Journal of the IAOS. 32:371-373

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Utilizing big data to measure key connections between gender and climate change1.

• Authors : Valero, Sara Duerto¹ (AUTHOR); Emandi, Ramya¹ (AUTHOR); Encarnacion, Jessamyn¹ (AUTHOR)

Subjects: *BIG data; *ENVIRONMENTAL protection; CLIMATE change mitigation

• Source: Statistical Journal of the IAOS. 2022, Vol. 38 Issue 3, p973-994. 22p.

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From agricultural statistics to zero hunger: How the 50x2030 Initiative is closing data gaps for SDG2 and beyond.

• Authors : Villarino, Ma. Eliza J.^1,2 (AUTHOR); Buenaseda Tejada, Millicent Gay² (AUTHOR); Patterson, Sala Elise² (AUTHOR)

• Source: Statistical Journal of the IAOS. 2022, Vol. 38 Issue 1, p63-73. 11p.

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