In this community call, our panelists will share their experiences and examples of projects with R at different levels of government and in different countries.
We invite you to learn about the challenges and lessons learned from our panelists and attendees in their efforts to make their government data, processes, and analyses more open and reproducible.
See below for speaker bios and resources.
Luiza Andrade is the Data Analytics Lead at the University of Chicago’s Development Innovation Lab. Her work focuses on incorporating non-traditional data sources into development research, promoting transparency and reproducibility in social sciences, and developing software tools to simplify research data work. Prior to joining DIL, she was a Junior Data Scientist at the World Bank’s Development Impact Evaluation department. Luiza is a Brazilian national and holds a BA and an MSc in economics from the University of Sao Paulo.
Karly Harker is an environmental data scientist and R developer with an MSc in Landscape Ecology. She has extensive experience using spatial analysis to support conservation planning. Karly is passionate about using open, reproducible and well-communicated data science to support decision making and helping others in government do the same. She is currently working with the State of Environment Reporting program in British Columbia, Canada.
Ahmadou Dicko is a humanitarian data scientist, currently serving as a Statistics and Data Analysis officer at UNHCR regional bureau for West and Central Africa. He is a fervent advocate for reproducibility in the humanitarian sector and has built several R packages and tools to streamline data processes. With M.Sc. in Statistics and a Ph.D. in Climate Change Economics, Ahmadou combines his profound knowledge of economics and data science to drive transformative change in the humanitarian sector. He is the founder and co-organizer of the Dakar R User Group and a recognized leader in promoting data literacy and community building around humanitarian data science.
Pablo is a graduate in Sociology from the University of Buenos Aires, Argentina. Currently, he works at C40 Cities as a Data Scientist, with a focus on improving data workflows related to Climate Change. He also serves as an instructor for Data Processing with R for Social Sciences at several National Universities in Argentina. He has made significant contributions to the development of R as a co-author of various packages used by Argentina’s leading official statistical offices (INDEC, MINTURyDEP, and DGEyC). He has also been a co-organizer of the R community in Buenos Aires.
