SICSS-Accra

09:00-11:00 Welcome to SICSS-Accra & Computational Social Science

Required Readings:

• Computational social science and sociology
• Computational social science: Obstacles and opportunities
• Leveraging digital and computational demography for policy insights
• Digital and computational demography
• Demography in the digital era: New data sources for population research

11:00-11:30 Tea break/Networking

11:30-13:00 Tutorial: R for CSS

13:00-14:00 Lunch

14:00-16:00 Tutorial: R for CSS

16:00- Tea break/Networking

09:00-09:15 Housekeeping and Announcements.

09:15-11:00 Research Happy Hour

Required Readings:

• North and South: Naming practices and the hidden dimension of global disparities in knowledge production
• The demography of the peripatetic researcher: Evidence on highly mobile scholars from the Web of Science
• Global patterns of migration of scholars with economic development
• A bibliometric analysis of COVID-19 research in Africa
• A bibliometric analysis of childhood immunization research productivity in Africa since the onset of the Expanded Program on Immunization in 1974

11:00-11:30 Tea break/Networking

11:30-13:00 Understanding and measuring polarization in science.

13:00-14:00 Lunch

14:00-16:00 Tutorial: Bibliometric analysis with R

16:00- Tea break/Networking

09:00-09:15 Housekeeping and Announcements.

09:15-11:00 Research Happy Hour

Required Readings:

• Can a 280-character message explain stock returns? Evidence from South Africa
• Characterising different communities of Twitter users: Migrants and natives
• Comparing and combining sentiment analysis methods
• Twitter-mediated enterprise–customer communication: Case of electricity distribution services in a developing country
• Systematic delineation of media polarity on COVID-19 vaccines in Africa: Computational linguistic modeling study

11:00-11:30 Tea break/Networking

11:30-13:00 Social media, news consumption, and polarized opinions in the digital age.

13:00-14:00 Lunch

14:00-16:00 Tutorial: Text analysis with R.

Required Readings:

• An Introduction to Text Analysis Watch video on Youtube, Slides, Annotated Code
• Text Analysis Basics Watch video on Youtube, Slides, Annotated Code
• Dictionary-Based Text Analysis Watch video on Youtube, Slides, Annotated Code
• Topic Models Watch video on Youtube, Slides, Annotated Code

16:00- Tea break/Networking

09:00-09:15 Housekeeping and Announcements

09:15-11:00 Research Happy Hour

Required Readings:

• A scoping review on the use of machine learning in research on social determinants of health: Trends and research prospects
• Predicting the vulnerability of women to intimate partner violence in South Africa: Evidence from tree-based machine learning techniques
• Using Machine learning algorithms to predict the state of financial inclusion in Africa
• Use of machine learning techniques to identify HIV predictors for screening in sub-Saharan Africa
• Machine learning algorithms for predicting undernutrition among under-five children in Ethiopia
• Can we Predict Artistic Success?

11:00-11:30 Tea break/Networking

11:30-13:00 Polarized algorithms? Measuring and modelling polarization.

13:00-14:00 Lunch

14:00-16:00 Group Exercises

16:00- Tea break/Networking

09:00-09:15 Housekeeping and Announcements.

09:15-11:00 Research Happy Hour

Required Readings:

• Characterizing low effort responding among young African adults recruited via Facebook advertising
• Evaluating sampling biases from third-party reporting as a method for improving survey measures of sensitive behaviours.
• Using an online sample to estimate the size of an offline population
• Collecting data on HIV-related mortality during household surveys: a randomized validation study in Malawi

• YouTube videos: Survey Research in the Digital Age, Probability and Non-Probability Sampling, Combining Surveys and Big Data, Moving Beyond Simple Experiments

• Using search queries to understand health information needs in Africa
• Modeling COVID-19 incidence with Google Trends
• Google trends and water conservation awareness: the internet’s contribution in South Africa
• Predicting the Present with Google Trends

11:00-11:30 Tea break/Networking

11:30-13:00 Quantifying polarization in online public searches.

13:00-14:00 Lunch

14:00-16:00 Group Exercises

16:00- Tea break/Networking

09:00-09:15 Housekeeping and Announcements.

09:15-11:00 An introduction to SICSS-Accra group projects.

11:00-11:30 Tea break/Networking

11:30-13:00 Group Exercises.

13:00-14:00 Lunch

14:00-16:00 Group Exercises

16:00- Tea break/Networking

09:00-09:15 Housekeeping and Announcements.

09:15-11:00 Group Exercises.

11:00-11:30 Tea break/Networking

11:30-13:00 Group Exercises.

13:00-14:00 Lunch

14:00-16:00 Group Exercises

16:00- Tea break/Networking

09:00-09:15 Housekeeping and Announcements.

09:15-11:00 Group Exercises.

11:00-11:30 Tea break/Networking

11:30-13:00 Group Exercises.

13:00-14:00 Lunch

14:00-16:00 Group Exercises

16:00- Tea break/Networking

09:00-09:15 Housekeeping and Announcements.

09:15-11:00 Group Exercises.

11:00-11:30 Tea break/Networking

11:30-13:00 Group Exercises.

13:00-14:00 Lunch

14:00-16:00 Group Exercises

16:00- Tea break/Networking

09:00-09:15 Housekeeping and Announcements.

09:15-11:30 Group Exercises.

11:30-12:00 Tea break/Networking

12:00-14:30 Flash talks: SICSS-Accra group projects.

14:30-16:00 Dinner and goodbye