To achieve these objectives, we propose the following activities within the Data Science Storytelling Community:
- Open Data Product: Build data products which will be Open Sourced.
- Data Visualisation Challenges: Regular challenges where students create informative data visualizations accompanied by narratives.
- Data Journalism Workshops: Collaborative sessions with journalism students on how to find, clean, and visualize data for news stories.
- Interdisciplinary Projects: Encourage students from various backgrounds to collaborate on data science projects.
- Guest Speaker Series: Invite industry professionals to share insights and experiences in data science.
- Mentorship Program: Establish a mentorship program pairing experienced Data Science students with newcomers.
- Data Ethics Discussions: Organize debates and discussions on data ethics and biases.
- Social Impact Projects: Collaborate with NGOs to work on data science projects with societal significance.