The social accountability monitoring (SAM) initiative for adolescent sexual and reproductive health (SRH) rights and services, MobiSAfAIDS, has been operating in six Southern African countries since 2018 demonstrating the potential of citizen-generated data to contribute to SRH outcomes for adolescents and advancing SDG 3 “Good health and well-being” and 5 “Gender equality” imperatives. MobiSAfAIDS was scaffolded from MobiSAM, another SAM initiative launched in 2012 in South Africa towards improved government service delivery.
Data deluge has introduced several challenges in modern digitized societies. The lack of homogeneity that characterizes data production, entails risks in increasing the cost of discovery while at the same time introduces difficulties in quality control and management. To facilitate data interpretation, organization and consumption by both humans and machines, the FAIR principles for research data were developed. The principle of data concerns all the sequence of the information value chain in all Artificial Intelligence (AI) systems, from creation and collection of data to its end use either by human agents, through AI insight or an automated AI-based decision system. The application of FAIR principles in AI systems, is required to improve issues like data bias in learning algorithms.
Thursday, February 2 2023 , 8:00 to 9:00 am (ET)
The following key topics will be covered:
Tuesday, June 7 2022 , 7:00 to 8:15 am (ET)
Key questions covered in this webinar will include: