Your search
Results 6 resources
-
Monitoring and evaluation practice is using information and communication technologies for more timely data, and more inclusive voice and feedback.
-
Key Points • The authors identified four archetypes describing philanthropic funders’ approach to AI: The Curious, The Doers, The Dreamers, The Skeptics. • The authors did not find major differences across foundations based on their geographic location, though there were differences found based on their mission and values. Feminist and social justice funders in the Global South demonstrated more skepticism than others. • Even in seemingly benign or straightforward applications, AI systems...
-
Generative AI (GenAI) is evolving rapidly, and its use in violence against women research remains new and largely experimental. While researchers are beginning to explore GenAI’s potential, uncertainty around its risks, ethical challenges, and real-world application persists. Recognising the need for clear guidance, the Sexual Violence Research Initiative (SVRI) partnered with The MERL Tech Initiative (MTI) to develop this resource. This guide aims to provide background on GenAI, strengthen...
-
Large language models (LLMs) are a type of generative artificial intelligence (AI) designed to produce text-based content. LLMs use deep learning techniques and massively large data sets to understand, summarize, generate, and predict new text. LLMs caught the public eye in early 2023 when ChatGPT (the first consumer facing LLM) was released. LLM technologies are driven by recent advances in deep-learning AI techniques, where language models are trained on extremely large text data from the...
-
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...
Explore
Theme
-
Development Actors Perspectives
(1)
- NGO Perspectives (1)
-
MEL4 Adaptive Management
(5)
- AI support (2)
- Artificial Intelligence (2)
- Tech 4 MEL (2)
-
Sectors [+]
(2)
- Gender (1)
- Philanthropy/Funding (1)
Resource type
- Journal Article (2)
- Report (4)
Publication year
-
Between 2000 and 2026
(6)
-
Between 2010 and 2019
(1)
- 2014 (1)
- Between 2020 and 2026 (5)
-
Between 2010 and 2019
(1)