Working with local partners in Côte d'Ivoire, our DCDJ program built a searchable list of hyper-local datasets across the country related to topics of community interest. Through this inventory, local officials, clinicians, community groups, researchers, and others can contribute to and access information on datasets in the community.
The Tobacco Control Data Initiative (TCDI) team in Kenya recently interviewed key tobacco control stakeholders to better understand data gaps and priorities. Learn more about the findings, which will be used to inform the development of a dashboard that will support decision-making in tobacco control.
Development Gateway conducted a stakeholder assessment in Nigeria for the Tobacco Control Data Initiative (TCDI.) During the assessment, we identified priorities, needs, and data gaps. We then validated these findings with stakeholders during a workshop at the end of 2020, and will use the information to build a dashboard to support decision-making.
As we review our strategy, we plan to share here much of what we’ve learned through programming in more than a dozen countries – from our work and from our excellent partners – about the state of data in agriculture, tobacco control, open contracting, and the extractive industries. For each theme, we’ll explore who are the key data users, the decisions they make, the most important data gaps, and the crucial risks of data (mis)use. Here we share previews from some of our flagship programs.
With support from DCDJ, local youth in Côte d’Ivoire organized a successful mapathon to get community resources, landmarks, and risk zones in Daloa – particularly those relevant to young people – on the map. Through the process, they acquired new skills including OSM tracker to develop map layers, how to collect local data, and how to communicate results stored in a new database developed through the program.
Through partnerships in Côte d’Ivoire, DG collaborated to build a platform which integrates and visualizes data from multiple sources, using maps and dashboards, for policymakers and health workers. A handoff ceremony caps a two-year effort to improve the data and tools accessible to the country’s health workers.
Ali Diakité is an alum of the first DCDJ Fellowship cohort. After two months of intensive data science training, he was placed with the National AIDS Control Program (PNLS), the government agency that coordinates the national response to the HIV/AIDS crisis in Côte d’Ivoire. During the Fellowship, Ali built a solution that noticeably improved PNLS' efficiency and data quality. As the primary HIV/AIDS control program in Côte d’Ivoire, PNLS uses the tool to make direct improvements to its data quality, timeliness, and epidemic response.
Several months ago, the Tobacco Control Data Initiative (TCDI) team completed an assessment in South Africa to understand the key priorities and data needs of those who work in tobacco control. During the assessment, the team talked to a variety of stakeholders within government agencies, civil society organizations, and academia who work on promoting, advocating, or evaluating tobacco control policies.
As experts scramble to better understand why Covid-19 can impact individual patients so differently, a growing body of evidence suggests that one factor contributing to the severity of the disease is whether the patient is a smoker. Could enhanced tobacco control policies be another tool for governments fighting the virus?
As we approach Beijing+25, awareness about the literal value of gender equality continues to rise—but actual progress has stalled. The 2020 World Economic Forum Gender Gap Report reveals women’s under-representation is most acute in data, digital, and technology fields that will drive economic growth over the next decade. According to the report, just 12 percent of cloud computing, 15 percent of engineering, and 26 percent of data and artificial intelligence professionals are women.