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Applied Social Science Intelligence & Systems Tracker

Stop missing
the best tools
in applied
social science.

ASSISTWeekly delivers a curated intelligence brief of GitHub tools, datasets, scrapers, and systems explained in plain English.

What You Get

Every issue is built to save time, not create more reading.

Datasets and data pipelines

Reusable data sources, pipelines, wrappers, and monitoring stacks.

Research methods

Empirical methods and research code for applied social science.

Agentic tools

Agent workflows, memory, review, setup, and research automation.

Weekly working papers

Fresh papers to see quickly what is already moving in your area.

Scored Highlights

Each tool is ranked for usefulness and research relevance.

ASSISTWeekly generates an internal score for how interesting or practically useful each tool looks, then uses that ranking to surface the weekly highlights first.

Example From The Latest Issue

What One Entry Looks Like

Each entry combines the repository, a quick score, structured metadata, and a short explanation.

Research code and methods

Heterogeneous treatment effects and causal ML toolkit

Source: GitHub / py-why/EconML

Best for policy analysis, research workflows
Domain microeconomics, political science, demography
Score 0.9699

EconML collects causal ML methods for treatment effect estimation, policy learning, and applied econometric workflows in one reusable toolkit.

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Low frequency, high signal.

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Weekly intelligence on tools, datasets, scrapers, and agentic systems for applied social science.

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