TY - GEN
T1 - A Qualitative Difference
T2 - 2022 International Conference on Information and Communication Technologies and Development, ICTD 2022
AU - Maitland, Carleen F.
AU - Martin, Jean Laurent
AU - Bravo, Maria Gabriela Urgiles
AU - Bertram, Alex
N1 - Funding Information:
This research was funded through UNHCR s Innovation Fund for 2019 and 2020 (https://www.unhcr.org/innovation/innovationfund/). The authors would like to recognize the contributions of Maria Jose Alvear of HIAS, Maarten-Jan Kallen and Metin Yazici (formerly) of BeDataDriven, and Capucine Maus de Rolley and Mirely Tobar, formerly with UNHCR
Funding Information:
This research was funded through UNHCR’s Innovation Fund for 2019 and 2020 (https://www.unhcr.org/innovation/innovation-fund/ ). The authors would like to recognize the contributions of Mariá José Alvear of HIAS, Maarten-Jan Kallen and Metin Yazici (formerly) of BeDataDriven, and Capucine Maus de Rolley and Mirely Tobar, formerly with UNHCR.
Publisher Copyright:
© 2022 ACM.
PY - 2022/6/27
Y1 - 2022/6/27
N2 - Recent developments in qualitative data analytics may generate helpful insights for humanitarian response. At the same time, humanitarian coordination efforts are embracing data sharing platforms to ease data flows. Combined, these two innovations could simultaneously offer operational insights across multiple humanitarian organizations. We pursue this potential through the QualMiner project, an18-month collaboration of the UN-led response to the Venezuelan forced migration crisis in Ecuador. In our efforts to integrate qualitative data, we developed applications with implications for local operations as well as platform features and analyzed data entry processes and information product designs. Our analysis finds the established quantitative system serves as an installed base enacting agency and generating three effects, namely framing, artifacts, and informing. We also find collaborative innovation with non-profit users results in direct and indirect factors shaping the data sharing platform's boundaries. Finally, our analysis provides a critical, yet depolarized [1], assessment of advanced analytics in the humanitarian context. These findings have implications for platform boundary theories and critical data studies in the humanitarian domain, as well as humanitarian information management practice.
AB - Recent developments in qualitative data analytics may generate helpful insights for humanitarian response. At the same time, humanitarian coordination efforts are embracing data sharing platforms to ease data flows. Combined, these two innovations could simultaneously offer operational insights across multiple humanitarian organizations. We pursue this potential through the QualMiner project, an18-month collaboration of the UN-led response to the Venezuelan forced migration crisis in Ecuador. In our efforts to integrate qualitative data, we developed applications with implications for local operations as well as platform features and analyzed data entry processes and information product designs. Our analysis finds the established quantitative system serves as an installed base enacting agency and generating three effects, namely framing, artifacts, and informing. We also find collaborative innovation with non-profit users results in direct and indirect factors shaping the data sharing platform's boundaries. Finally, our analysis provides a critical, yet depolarized [1], assessment of advanced analytics in the humanitarian context. These findings have implications for platform boundary theories and critical data studies in the humanitarian domain, as well as humanitarian information management practice.
UR - http://www.scopus.com/inward/record.url?scp=85159719251&partnerID=8YFLogxK
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U2 - 10.1145/3572334.3572398
DO - 10.1145/3572334.3572398
M3 - Conference contribution
AN - SCOPUS:85159719251
T3 - ACM International Conference Proceeding Series
BT - Proceedings of the 2022 International Conference on Information and Communication Technologies and Development, ICTD 2022
PB - Association for Computing Machinery
Y2 - 27 June 2022 through 29 June 2022
ER -