Results 3 resources
Big Data to Data Science -Moving from “What” to “How” in the MERL Tech Space (p. 20)Bertermann, K., Robinson, A., Bamberger, M., … Raftre, L. - 2020 - MERL Tech
This paper probes trends in the use of big data by a community of early adopters working in monitoring, evaluation, research, and learning (MERL) in the development and humanitarian sectors. Qualitative analysis was conducted on data from MERL Tech conference records and key informant interviews. Findings indicate that MERL practitioners are in a fragmented, experimental phase, with use and application of big data varying widely, accompanied by shifting terminologies. We take an in-depth...
Emerging Technologies and Approaches in Monitoring, Evaluation, Research, and Learning for International Development Programs (p. 20)Bruce, K., Gandhi, V. J., & Vandelanotte, J. - 2020 - MERL Tech
Emerging technology is making monitoring, evaluation, research and learning (MERL) more precise and enriching data. However, this evolution is so rapid that it can be difficult to stay informed about the field overall. This paper presents examples of emerging technology that are most often used in MERL for development programs, describes the pros and cons of their use, and discusses technology and ethics concerns that practitioners should keep in mind. The paper covers new types of data...
What We Know About Traditional MERL Tech - Insights from a Scoping Review (p. 27)Tilton, Z., Harnar, M., Raftree, L., … Behr, M. - 2020 - Western Michigan University
This paper explores the peer-reviewed evidence base of “traditional” technology-enabled monitoring, evaluation, research, and learning (MERL Tech) in international development assistance from 2015 to 2019. The authors conducted a scoping review that searched seven databases, screened 3,054 reference titles and abstracts, coded 886 abstracts, and extracted and analyzed conclusions and recommendations from the full texts of 256 studies. The findings reveal the most frequently reported...