How to map a new field's 5-year trends without losing your mind
LumilitawNaMangga · reddit · 2026-08-25
A grad student who switched subfields shares the struggle of mapping 5-year trends: after downloading 80 PDFs from Google Scholar, individual papers made sense but the connections — who built on whom, which ideas mattered — didn't. A tracking spreadsheet felt like data entry.
Using Mira from Deep Principle to organize the literature gave a useful overview of main research directions and made comparing approaches easier, though the intuition that comes from years in a field is still missing.
More from Research
- Statistical Rethinking 2026: 20 Lectures on Causal Inference & Scientific Modeling — RichmanRonald · 2026-08-25
- Simulation-Based Inference: Neural Nets Solve Probability Black Boxes — burkov · 2026-08-25
- WIEN-INR: Neural Representation for Lossless Scientific Data Compression — bravo_abad · 2026-08-25
- Alibaba Proposes ERPO: Environmental Regularization for Stable LLM RLHF — alibabagroup · 2026-08-25
- NeurIPS 2026 workshop calls for papers on AI failure modes in biology — anshulkundaje · 2026-08-25
- SimCLR & MoCo vs. incremental science — 3scorciav · 2026-08-25