Economic empowerment has long been considered a key component in structural interventions to reduce gender inequality and the experience of gender-based violence (GBV) among women and girls. However, results from recent studies have yielded inconsistent evidence on the relationship between women’s economic empowerment (WEE) interventions and the risk of GBV. For example, there is evidence to support the theory that WEE increases risk of GBV, possibly because increased empowerment challenges the status quo in the household, which can result in a male partner using violence to maintain his position. Alternatively, there is evidence indicating increased empowerment reduces GBV because educational or financial empowerment offers higher status in the household, which then decreases women’s risk of experiencing violence.
This study includes a systematic review of the literature as well as key informant interviews (KIIs) with program staff and experts from organizations implementing and/or conducting research on economic empowerment interventions targeted to women in sub-Saharan Africa. Findings from the literature review guided the questions for the KIIs. The KIIs added to the findings from the systematic review by focusing on what programs identify as important drivers in the relationship between WEE and GBV and the common M&E practices programs use to document intervention effect on gender outcomes.
South Africa’s Department of Planning, Monitoring and Evaluation, in collaboration with MEASURE Evaluation Strategic Information for South Africa, invited Dr. Jason Smith, Deputy Director for MEASURE Evaluation, to the Presidency of South Africa as part of its M&E Learning Network workshop series.
During the September session, Dr. Smith shared experiences and lessons learned on evaluating impact from MEASURE Evaluation Phase III implementation. Main areas of discussion involved the use of evidence for improved performance and governance in the public sector, including data demand and use, knowledge management, and capacity building and training.
This end-of-activity report summarizes MEASURE Evaluation’s work in strengthening monitoring and evaluation (M&E) systems for avian and pandemic influenza programs in Southeast Asia.
Between 2006 and 2014, MEASURE Evaluation supported the U.S. Agency for International Development’s Regional Development Mission in Asia in its efforts to develop regional M&E standards, support the establishment of country-level M&E systems, build capacity for avian and pandemic influenza M&E at provincial and district levels, and generated lessons learned to inform similar efforts in other regions.
Ces outils de collecte de données sont des questionnaires destinés à une enquête auprès de ménages avec des enfants âgés 0 à 17 ans et les adultes du ménage qui s’occupent des enfants. Les questionnaires sont conçues pour mesurer des changements dans le bien-être des enfants, des personnes qui s’occupent des enfants et des ménages qui peuvent être attribués, dans la mesure du raisonnable, aux interventions du programme. Les outils sont accompagnés par:
- Un manuel d’outils (le présent document);
- Un modèle de protocole d’enquête;
- Un modèle de plan d’analyse et;
- Un manuel de formation
Guest post by Arundati Muralidharan, Senior Research Fellow at PHFI, and Jessica Fehringer, Gender Portfolio Manager for MEASURE Evaluation
On November 10 in New Delhi, India, MEASURE Evaluation’s local partners on the Gender, Policy and Measurement Program (GPM) – Public Health Foundation of India (PHFI) and the International Centre for Research on Women (ICRW) – hosted a satellite session entitled: Engaging Men and Boys for Better Health: Evidence from a Systematic Review of gender-integrated health programs from South Asia, with a special focus on India. The objective of the session was to present evidence from India and other low- and middle-income countries on gender-integrated strategies to engage men and boys to improve a range of health outcomes, including reproductive, maternal, neonatal, child, and adolescent health, HIV and AIDS, and sexually transmitted infections, gender-based violence, tuberculosis, and universal health coverage.
Dr. Arundati Muralidhiran of PHFI presented findings from the recently published GPM systematic review, “Transforming Gender Norms, Roles and Power Dynamics for Better Health”, specific to engaging men and boys. She focused on the following: the extent of gender integration in health programs engaging men and boys, the roles of men and boys in these interventions, the key gender-aware strategies used, and the health and gender outcomes achieved by these interventions. She ended the presentation by highlighting gaps in the intervention literature and proposing recommendations for how policies and programs in India may consider engaging men and boys in a more systematic manner. The GPM Engaging Men and Boys brief was also shared.
Other panelists included Joseph Vess of Promundo, who spoke about the IMAGES study, Madhumita Das of the International Center for Research on Women (ICRW), who presented ICRW research on both documented and undocumented Indian programs that engaged men and boys, and Sujata Khandekar of the Committee of Resource Organisations, who shared her extensive experience with the Gender Equitable Movement in Schools Intervention in Maharashtra. The panel discussion was chaired by Will Muir of the Equal Community Foundation.
The crosscutting themes that emerged from all four presentations included the use of critical reflection as a powerful strategy to engage men and boys, programmatic evidence to engage men, issues related to sustainable and scaled-up programs, and institutionalizing programs in government systems.
Foreman provides a technical how-to manual for one of the hottest topics in business these days – data mining. His goal is to introduce readers to the practice of data science in a comfortable and conversational way. The book begins with a primer on working with Microsoft Excel then uses hands-on exercises to describe techniques and practices used in data science such as cluster analysis, nut graphs, K-means, artificial intelligence, regression, forecasting and outlier detection.