SayPro Civil society use of evidence

1. Evidence in Policy Advocacy

1. Using data to influence public policy.
2. Case studies of successful evidence-based campaigns.
3. Evidence-informed budget advocacy.
4. Engaging policymakers with research findings.
5. Evidence use in environmental advocacy.
6. Human rights evidence in legal reform campaigns.
7. Legislative engagement using public opinion data.
8. Health policy and civil society use of epidemiological data.
9. Role of NGOs in evidence-based education reform.
10. Gender data in advocacy for women’s rights.

2. Capacity Building

11. Training CSOs to collect and use data.
12. Building research literacy among activists.
13. Citizen science and grassroots evidence generation.
14. Developing M&E systems for evidence generation.
15. Strengthening civil society access to academic research.
16. Co-creating evidence with communities.
17. Civil society think tanks and evidence leadership.
18. Enhancing data storytelling skills.
19. Supporting evidence culture in civil society organizations.
20. Role of mentorship in evidence literacy.

3. Data Sources and Types

21. Using administrative data in civil society projects.
22. Leveraging census data for social change.
23. Satellite imagery in community advocacy.
24. Social media as a data source.
25. Community-led data collection methods.
26. Surveys and participatory research tools.
27. Using open data for accountability work.
28. Qualitative vs quantitative evidence in civil society.
29. Mobile-based data collection tools.
30. Big data for local advocacy.

4. Accountability and Transparency

31. Using evidence in anti-corruption campaigns.
32. Budget tracking and expenditure monitoring.
33. Civil society audits and citizen report cards.
34. Evidence and social accountability mechanisms.
35. Tracking service delivery outcomes.
36. Public procurement transparency through data.
37. Evidence use in social justice litigation.
38. Investigative journalism as evidence.
39. Citizen feedback loops and evidence.
40. Data for watchdog functions.

5. Collaboration and Partnerships

41. Partnerships between CSOs and universities.
42. Government-CSO collaboration on evidence use.
43. Donor-CSO dynamics in evidence production.
44. Multi-stakeholder platforms for evidence use.
45. Private sector-CSO collaborations in data sharing.
46. Evidence exchange networks.
47. Building coalitions around shared data.
48. Cross-border civil society data alliances.
49. Engaging indigenous knowledge systems.
50. Collaborating with media to disseminate evidence.

6. Ethical and Legal Considerations

51. Ethical dilemmas in data collection.
52. Informed consent in evidence gathering.
53. Protecting vulnerable groups in data use.
54. Data privacy laws and CSO compliance.
55. Power dynamics in knowledge production.
56. Bias and neutrality in civil society research.
57. Intellectual property rights in data sharing.
58. Evidence fabrication and consequences.
59. Safe data storage and cybersecurity.
60. Addressing misinformation with evidence.

7. Technology and Innovation

61. Using GIS in community mapping.
62. AI for evidence synthesis in advocacy.
63. Blockchain for data verification.
64. Digital platforms for community evidence.
65. Crowdsourcing evidence via mobile apps.
66. Machine learning in sentiment analysis for campaigns.
67. Citizen journalism and digital evidence.
68. Data visualization for public awareness.
69. Tech tools for real-time data use.
70. Automating evidence workflows.

8. Impact and Evaluation

71. Measuring the impact of evidence use.
72. Theory of change and evidence integration.
73. Cost-benefit analysis for civil society programs.
74. Randomized controlled trials in CSO interventions.
75. Evidence use in program scaling decisions.
76. Real-time evaluation methods.
77. Adaptive learning through evidence.
78. Value for money assessments.
79. Evidence-based grant reporting.
80. Use of dashboards in decision-making.

9. Challenges and Barriers

81. Political resistance to civil society evidence.
82. Funding constraints for evidence work.
83. Capacity gaps in evidence interpretation.
84. Language and accessibility of data.
85. Evidence fatigue among stakeholders.
86. Censorship and suppression of data.
87. Manipulation of evidence by interest groups.
88. Cultural barriers to data collection.
89. Rural and remote data challenges.
90. Time lag in evidence generation.

10. Future Directions

91. Future of evidence-based activism.
92. Youth-led evidence movements.
93. Indigenous data sovereignty.
94. Climate justice and evidence integration.
95. Decolonizing civil society research.
96. Feminist approaches to data and evidence.
97. Artificial intelligence and ethical evidence use.
98. Post-conflict evidence reconstruction.
99. Localizing global evidence for grassroots action.
100. Building resilience through evidence use.