SayPro Raw Topic Lists (minimum 100 per prompt)

SayPro Raw Topic Lists – Master Format

Purpose: To systematically extract a high-volume list of relevant topics in response to a GPT prompt. Each entry is unrefined but categorized for downstream analysis, clustering, or tagging.

---

🧾 Format Structure (Excel or Table Format)

#	Topic	GPT Prompt Reference	Category	Notes
1	Drought resilience among smallholder farmers	Emerging climate challenges in Africa	Adaptation	Rural-specific
2	Climate-induced migration patterns in West Africa	Emerging climate challenges in Africa	Social Impact	Data required
3	Carbon pricing in national climate strategies	Government policies on climate change	Policy	High-priority
4	Youth-driven solar innovation labs	Ways youth can engage in climate action	Innovation	Cross-cutting
5	Microgrids in off-grid communities	Renewable energy projects in 2024	Energy	Sub-Saharan focus

---

📋 Example: SayPro Raw Topic List

GPT Prompt: “List 100 emerging climate change challenges in Africa in 2025”

#	Topic
1	Water scarcity in arid zones
2	Rapid desertification in the Sahel
3	Glacier loss in the Rwenzori Mountains
4	Flooding in coastal urban centers
5	Cyclone frequency in Mozambique
6	River erosion along the Nile
7	Invasive species spread due to warming
8	Heat-related mortality in urban slums
9	Decline in livestock productivity
10	Disruption of pastoral migration routes
…	…
100	Saltwater intrusion into freshwater aquifers

---

✅ Instructions for Use

1. Each prompt generates a minimum of 100 topics
2. Categorize them manually or by AI-assisted tagging (e.g., climate risk, policy, innovation)
3. Store each list in a centralized SayPro folder, named using this format:
   • SayPro_RawTopicList_[PromptKey]_[YYYY-MM].xlsx
4. Include GPT prompt as metadata in the file or as a header note.

---