The purpose of this study is to demonstrate the value of visual research methods to applied anthropology in the context of exploratory research with farmers in Ethiopia. The three methods of photo-elicitation, participatory photography, and ethnographic film, enrich and expand ethnographic methods to support the client's objective of supporting farmers. The applied project constructs a narrative from the local perspective to help consumers learn more about farmers' lives. The research focuses on specific farmers, and their experiences with direct fair trade and coffee farming. The client sees the application of research produced by ethnographic and visual methods as a good direction not only for his company, but the Fair Trade Industry as a whole.

This study explores the research productivity of Addis Ababa University (AAU) faculty. AAU was established in 1950 and is the oldest modern higher educational institution in Ethiopia. Recently AAU took steps to transform itself to become a pre-eminent African research university. One of the characteristics of a research university is the focus on the amount of research conducted by the institution's faculty. Academic institutions measure research productivity primarily based on published work. The purpose of this study was to analyze the research productivity of AAU faculty, and to examine the differential predictive effects of individual and environmental variables on faculty research productivity. This quantitative study used a theoretical framework and instrument, Faculty at Work. Four hundred questionnaires were distributed to Addis AAU faculty in person and 298 questionnaires were returned resulting in a 74.5% response rate. After exclusion of 12 cases with missing information, 286 cases (71.5% response rate) were analyzed. Most of the respondents were men (M = 92.1%, F = 7.9%). The average age of AAU faculty was 44. A hierarchical multiple regression was used to examine the ability of six sets of independent variables (sociodemographic, career, self-knowledge, social knowledge, behavior, and environmental response) to predict research productivity …