My research concentrates on four NGOs: IOM, IDMC, JIPS, and OCHA which use different tools to collect data and translate the information into evidence for data-driven decision making (DDDM) for the implementation of humanitarian assistance projects. I focus on the importance, advantages, and various data collection tools which help ameliorate the humanitarian sector since it does not have a current professionalized path to enter the workforce. I incorporated four interviews, attended two conferences and analyzed multiple online sources during my project.
Applied Statistics | Data Science | Emergency and Disaster Management | International Humanitarian Law | International Relations | Migration Studies | Peace and Conflict Studies
Pulido, Maria Alejandra, "The Labyrinth of Data Collection for Humanitarian Project Funding and Implementation" (2021). Independent Study Project (ISP) Collection. 3394.
Applied Statistics Commons, Data Science Commons, Emergency and Disaster Management Commons, International Humanitarian Law Commons, International Relations Commons, Migration Studies Commons, Peace and Conflict Studies Commons