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TRANSCRIPT: 190524_002 RESEARCHING IN/FROM NAIROBI

Transcript from one-on-one interview

Friday , May 24 , 2019

Hung out from 10:10 AM – 2:00 PM. Interviewed happened at the beginning of this time (from 10:57 AM - 12:15 PM).

Location: lunch venue in Westlands (Nairobi, Kenya)

Participant...Read more

AO. Thick documentation of context and non-verbal cues

AO: This interlocutor perceived "good quality" qualitative data to be signaled through "thick" documentation which would include background context on the interpersonal relationship between the...Read more

AO. "the more info, the easier to identify the person, but the less info, the less value for the researcher..."

AO: The interlocutor raised the double bind of anonymization of qualitative data:

"BC-MW-F-S-02 6:01
So internally I would want all of this information. So when even I can see anonymized...Read more

Mawazo Institute. 2020. “Survey Findings on the Impact of COVID-19 on Africa’s Higher Education System.” Nairobi, Kenya: Mawazo Institute.

AO: This report foregrounds results from an online survey with 501 respondents conducted by Nairobi-based Mawazo Institute in April 2020.Read more

AOk. "...if you torture the data, for long enough, you can get it to confess to almost anything"

This quote (see copy-pasted below) articulates why using machine learning is more robust... because "if you torture the data, for long enough, you can get it to confess to almost anything."...Read more

Worldometer as Data Source for "Africa"

AO: There is very little transparency on this site about the sources for this data. The only section where I was able to find links to a source (other than the Google data) was the second data...Read more

Angela Okune, S. Adebowale, E. Gray, A. Mumo, and R. Oniang'o. "Discussion on Open Access (in Africa)," [Transcript], 2020, Research Data Share.

Discussion on Open Access in Africa

March 31, 2020

4:00 PM - 6:00 PM Nairobi

Participants (listed alphabetically):

Organizational Open Data Policy Discussion Guide

AO: I facilitated an internal org group discussion around the kinds of terms that staff felt an organizational data sharing policy should include. This is the guide that was used for the discussion.Read more

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