Synthesis, implications, and lessons learned
Synthesize the key insights from your research. What did you learn about the problem, the data initiative/algorithm, and potential alternatives?
What did your research reveal about the nature and scope of the problem?
What did you learn about how the data initiative or algorithm operates and its impacts?
What possibilities emerged from examining counter-data approaches?
Describe your first major takeaway from this research project.
Describe your second major takeaway from this research project.
Describe your third major takeaway from this research project.
What are the practical implications of your findings? How might your research inform policy decisions or organizational practices?
What do your findings mean for the communities most impacted by this data initiative or algorithm?
How does your research contribute to broader conversations about data justice?
Reflect honestly on the limitations of your research:
Based on your research, what future work would you recommend?
Describe a follow-up research question that emerged from your work.
Why it matters: Explain the significance of this question.
Describe another follow-up research question.
Why it matters: Explain the significance of this question.
Describe a third follow-up research question.
Why it matters: Explain the significance of this question.
What methodological approaches could strengthen future research on this topic?
What concrete actions could move this work forward?
Reflect on your experience conducting this research:
What did you learn about conducting critical data research? What surprised you? What was challenging?
How did your technical skills develop? What tools or techniques did you master? What do you still want to learn?
How did your understanding of the problem and data justice evolve throughout this project?
How did your perspective shift? What did you learn about your own relationship to data, power, and justice?
If this was a group project, what did you learn about collaborative research? How did working with others shape your thinking?
Provide a strong concluding statement that ties together your entire project. What is the main message you want readers to take away?
Final Reflection: Your overarching conclusion that synthesizes your research, findings, and vision for more just data practices. This should be a powerful statement that brings together everything you've learned and articulates what you believe needs to change in how we approach data and algorithms.
Include all sources cited throughout your portfolio (at least 12 total)