Monitoring, Operations Research and Evaluation for Adaptive Programmes (MORE-AP)

  The world is changing rapidly, and the field of monitoring and evaluation (M&E) is changing with it. To stay ahead of the curve and ensure your work remains relevant and impactful, it's crucial to understand the key trends shaping the future of M&E. Here are six you need to know: 1. Tech Takes Over: AI, Mobile Data, and VR/AR in M&E The digital revolution is transforming how we collect, analyze, and visualize data. Imagine gathering real-time feedback from beneficiaries on their mobile phones, uncovering hidden patterns in your data with AI-powered analytics, and presenting your findings in immersive VR/AR environments. These are just a few examples of how technology is reshaping M&E. Implications for practice: Upskill in digital tools:  M&E professionals need to embrace new technologies. Explore online courses and workshops on data collection platforms like KoboToolbox and SurveyCTO, data visualization tools like Tableau and Power BI, and AI-powered analytics

International development organizations are increasingly focused on strengthening the resilience of communities in developing countries to a variety of shocks, including natural disasters, economic crises, and public health emergencies. A key tool in this effort can be the adoption and adaptation of Community Resilience Estimates (CRE), a methodology developed by the U.S. Census Bureau. What are CREs? CREs provide a standardized, granular measure of social vulnerability at the neighborhood level. By considering factors like socioeconomic status, housing conditions, and access to transportation, CREs offer valuable insights into a community's capacity to withstand and recover from shocks. Why are CREs relevant for developing countries? While developed in the U.S. context, the CRE framework can be adapted to suit the unique circumstances of developing countries. By collecting and analyzing locally relevant data, international development organizations can utilize CREs to: Identify vu

  Generative AI, the technology behind tools like ChatGPT and Midjourney, has taken the world by storm. Its swift and widespread adoption in workplaces, in particular, has been nothing short of remarkable. While many factors contribute to this phenomenon, a closer look suggests that the "Law of Least Resistance" or the "Principle of Least Effort" plays a significant role. This principle posits that individuals naturally gravitate towards actions requiring the least amount of effort to achieve a desired outcome. In the context of generative AI, The Principle of Least Effort in Action manifests in several ways: Increasing Efficiency by streamlining tasks, automating processes that were once time-consuming and labor-intensive. This efficiency frees employees to focus on higher-level, strategic work. Many generative AI tools are designed with user-friendly interfaces and require minimal training. Their ease of use makes them accessible to a wide range of employees, re

  In today's dynamic landscape, demonstrating organizational effectiveness is paramount for all entities, from non-profit agencies to multinational corporations. But what exactly is organizational effectiveness ?  It's more than just achieving goals.  Here's a deeper look: Understanding Organizational Effectiveness: Beyond Checkboxes Organizational effectiveness is the measure of how well an organization utilizes its resources to achieve its desired outcomes. It's a multidimensional  concept that encompasses these key areas: Goal Achievement :  The degree to which an organization successfully meets its stated goals and objectives. These objectives could span diverse areas including financial performance, stakeholder satisfaction, and social or environmental impact. Efficiency :  The ability of an organization to optimize its use of resources (financial, human, and technological) to maximize outputs and results. Adaptability and Resilience : The organization's capaci