Elicit
Search papers, screen candidates and extract structured information into tables and cited reports.
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Search papers, screen candidates and extract structured information into tables and cited reports.
Answers “what does research say about X?” with a short synthesis linked to cited papers.
Free academic discovery with citation links, research feeds and TLDR summaries for supported papers; API access has separate terms.
An open scholarly index of works, authors, institutions and topics for literature discovery and bibliometrics.
Builds a visual similarity graph from one seed paper to surface prior and derivative work.
Explore related papers and author connections from a seed collection, with recommendations for further reading.
Map connections between papers, discover related literature and monitor new work on a topic.
Import documents or discover sources, then ask questions and create summaries with citations back to the notebook sources.
Reference manager for collecting, organizing, annotating and citing sources; a foundation for an AI-assisted reading workflow.
Literature-search assistant that refines a research request, follows citation trails and organizes findings with source links.
Python library for citation-grounded question answering over a folder of PDFs (RAG).
Open-source AI literature search that turns a question into search queries and organizes the results.
Web answer engine with source links for quick background research and follow-up questions.
Open-source active learning for systematic-review screening; the model re-ranks records as you label them.
Sentence-level rewriting and grammar suggestions for English and other languages, useful for non-native drafts.
Validates a paper's reference list against bibliographic databases to flag wrong or non-existent citations.
Claude Code skills by Claes Bäckman for reviewing papers, pre-analysis plans, grants and analysis code, and communicating research findings.
Drafts literature-review style text from a question with linked sources.
Personalized paper recommendations trained from your ratings, with daily digests and literature exploration features.
Rank new preprints by relevance to your Zotero library and send an email digest through a configurable workflow.
Daily community-upvoted AI papers with linked code, models and discussion threads.
A collection of Claude Code skills covering literature search, methods, analysis, writing and presentation tasks.
Claude Code plugin for social-science systematic reviews with Zotero operations, PDF retrieval, fact-checking and a critic loop.
Local MCP server for searching arXiv, reading paper sections and preparing metadata-based citations for an agent.
Research-agent plugin with literature-review workflows and citation-checking steps against scholarly databases.
HKUDS tutoring project combining learning workspaces, source-based chat, notebooks and guided study activities.
Ji Ma’s free companion materials for computational and AI-assisted social-science research, including primers, notebooks and datasets.
A research-computing landscape of AI tools organized by research capability and evaluation criteria.
A curated GitHub list of open literature-review agents, MCP servers and skills.
Newsletter by a Wharton management professor on using AI in work, teaching and research.
A documented manuscript workflow: ground citations in consulted sources, then review evidence, methods and arguments through a critic pass.
Political scientists compared zero-shot ChatGPT labels with MTurk crowd workers on tweet and news annotation tasks (relevance, stance, topics, frames).
Conditioned GPT-3 on demographic backstories from US election surveys to simulate how subgroups would answer.
Python package for designing surveys and experiments that are answered by LLM “agents” with assigned personas, across many models.
Benchmark of LLMs on many computational-social-science coding tasks, with practical guidance on when to use them.
A research workspace whose agents search scholarly databases, find supporting citations, review drafts and locate grants.
University research system that searches the web, builds an outline from multiple perspectives, and writes a cited, Wikipedia-style report on a topic; Co-STORM lets you join the conversation.
A Chinese-oriented LLM interface for paper reading, translation and editing, with configurable buttons and PDF/LaTeX plugins.
A Zotero plugin for questions, summaries, translation and notes based on selected papers, PDF text and reading notes.
A Zotero plugin that translates selected text, annotations, notes and metadata through configurable translation services.
Chinese community project that summarizes and translates papers, polishes drafts, and drafts reviews and review responses with ChatGPT.
Python library from the Chinese text-as-data community (textdata.cn) with Chinese sentiment dictionaries, word embeddings, dictionary expansion, semantic projection and an LLM annotation helper.
Chinese AI search with an academic scope and Chinese, English and PubMed collection filters.
A Wenzhou Medical University researcher ran interview transcripts through three LLMs using an event-based grounded-theory coding scheme and compared the results.
Webinar by Diyi Yang (Stanford) hosted by CUHK's Computational Social Science Lab, on a roadmap for LLMs as CSS tools, with zero-shot results for 10+ models on social-science benchmarks.
Step-by-step Python guide for social scientists with little programming experience, from API setup and prompt design to validating LLM labels, using populism detection as the running example.
A Stanford-organized 2025 conference exploring AI as primary research authors and reviewers, with transparency requirements and a public conference recording.
A company submitted three fully AI-generated papers to an ICLR 2025 workshop with organizers' consent to test peer review.
Open retrieval-augmented model that answers research questions from 45 million open-access papers with citations; model, index and data are public.
Open-source autonomous agent that plans a research question, searches the web or your own documents, and writes a cited report; works with many LLM providers.
Nature surveyed 5,229 researchers about AI-assisted drafting, editing, translation and peer review; the public supplement includes its methods, scenarios and anonymized responses.
A web platform for collaborative review screening, deduplication and organizing inclusion decisions.
A preregistered study tests GPT-4 for title/abstract screening, full-text review and data extraction across languages and literature types.
ATLAS.ti offers AI-generated open and descriptive coding suggestions that researchers can inspect and refine.
MAXQDA add-on for summaries, coding suggestions and data chat; AI Assist Premium also supports a model on your own computer or server.
A case study combines expert-written codebooks with GPT-3 prompts for coding curiosity-driven questions, then compares labels with expert coding.
Political scientists asked ChatGPT to answer ANES feeling-thermometer questions as demographic personas and compared the results with real respondents.
Using data from 1,052 Americans, the study compares agents grounded in two-hour interviews, structured surveys or both on held-out survey and behavioral outcomes.
The working paper uses LLMs as simulated economic agents, assigning information and preferences before examining behavior in classic experimental scenarios.
Open-source platform from Tsinghua University for LLM-agent social simulation; v1 simulated city-scale mobility, economy and social dynamics, v2 targets social-science experiments.
A five-stage framework: prepare the codebook, test basic capabilities, evaluate zero-shot accuracy, analyze errors and consider supervised tuning, demonstrated on three political-science datasets.
An R package for calling LLM providers, with structured extraction, streaming and tool calling, including support for local models through Ollama.
Runs LLM classification, sentiment, extraction, summarization and translation row by row over a data-frame column, with local models via Ollama or cloud providers.
Journal of Economic Literature review of classifiers, embeddings and generative models for social-science data, with a companion site of demo notebooks and a knowledge base.
A published guide to LLM uses in ideation, writing, literature work, coding, data analysis and mathematical derivation; the publisher also links an August 2025 agent update.
The Committee on Publication Ethics states AI tools cannot be listed as authors, that use in writing, images or analysis must be disclosed in methods, and that authors are responsible for AI-produced content.
Chinese interdisciplinary community with reading groups, courses and articles on complexity science, artificial intelligence and computational social science.
Ai2’s research-assistant initiative includes finding papers and generating literature summaries with linked citations, drawing on its Paper Finder and ScholarQA components.
Searches scholarly material and displays citation contexts, including supporting and contrasting citations, with an assistant grounded in literature.
Research platform offering paper search, PDF questions, literature review, writing and data-extraction tools.
A research-discovery site connecting papers, researchers and organizations, with paper browsing and literature-grounded answers.
An open-source desktop application for coding text, images and audiovisual material, with optional AI assistance.
Runs supported models locally and also offers cloud features. For a local research workflow, select a local model and disable cloud features before processing data.
A modular topic-modelling library combining embeddings, clustering and topic representations.
Tested GPT-3.5, 4 and 4 Turbo on sentiment, emotions, offensiveness and moral foundations across 15 datasets (about 48,000 annotated tweets and headlines) in 12 languages.
Open-access sociology essay with concrete rules for model choice, structured prompts, prompt-stability checks, validation and the ethics and legality of LLM annotation.
Academic-language feedback trained on published papers, built into Overleaf and Word, with paraphrasing, abstract and title suggestions.
Markdown-native slide tool built for academics who draft talks together with coding agents.
Claude Code skills covering research planning, writing, review and revision, with a systematic-review screening module.
Multilingual agent skills for literature work, scientific writing, revision, figures and statistical reporting, with selective installation.
Academic agent-skill collection with research writing, citation checks, social-science methods and digital-humanities modules.
Large survey of verified paper authors on how they use LLMs in research and how they feel about it.
Chinese podcast in which a social-science practitioner and an AI engineer discuss AI-assisted academic and teaching workflows.
Chinese AI knowledge base and learning community offering tutorials, tool information and shared practice; useful as a supplementary discovery channel.
Chinese AI media site with research and industry coverage, article indexes, tool information and a paid newsletter.
Newsletter by the Princeton authors of “AI Snake Oil”, analyzing AI as a transformative but normal technology; a sober counterweight to hype.
arXiv’s Computers and Society category lists preprints on computing and social issues, including AI-related work.
A joint position from Cochrane, Campbell, JBI and CEE emphasizes researcher accountability, context-appropriate evaluation and transparent reporting when using AI in evidence synthesis.
A collection of review-screening datasets with inclusion labels for practising and evaluating screening methods.
A published experiment used three rounds of personalized dialogue with GPT-4 Turbo to test changes in participants’ conspiracy beliefs, compared with unrelated-topic conversations.
Introduces OpinionQA to compare model responses to public-opinion questions with the views of 60 US demographic groups.
Put American Community Survey questions to 43 language models and checked whether their answers survive simple controls such as shuffling answer order.
A sociologist redesigned a codebook for LLM use and compared GPT-3.5 and GPT-4 with human coders on interpretive coding tasks.
Research-institute team proposed a workflow that brings an LLM into deductive coding as a co-coder, and benchmarked it on four public coding datasets.
Free desktop app by a sociologist that transcribes interviews entirely on your computer with Whisper, identifies speakers, and includes an editor for corrections; about 60 languages.
Open-source speech-recognition model that runs locally and underlies many transcription tools; also usable for large audio corpora such as speeches or broadcasts.
Alibaba’s audio/video assistant offers transcription, speaker separation, summaries and translation through its hosted service.
An English RoBERTa sentiment classifier with negative, neutral and positive labels, pretrained on tweets and fine-tuned on TweetEval.
A Python library for embedding and reranking models, supporting semantic search and similarity analysis.
Computational social-science summer institutes with a public learning library covering text analysis, surveys, experiments, data ethics and AI-related talks.
The 2026 International Conference on Computational Social Science in Burlington, Vermont provides a program and tutorial listings for discovering methods and research teams.
A research and teaching hub connecting language models with social-science questions.
Five modules move from text representations to retrieval and research agents.
Public lecture slides and notebooks from the social-science summer school.
A university infrastructure project bringing data, computation and disciplinary AI services together.
A downloadable historical inventory of AI applications for social-science research.
A bilingual directory that connects research tools with models, databases and workflows.
A librarian comparison of literature discovery and review tools by function and access.
A framework for checking AI tools, their sources and the limits of retrieval-augmented answers.
A library gateway to university guidance, training and AI research resources.
A function-first comparison showing what research tools do and which data they use.
Helps discover related academic work from a topic or material you are reading.
Turns supplied documents into structured summary cards for reading and organization.
A local web application for qualitative coding with optional Ollama assistance.
An R package for codebook-based LLM coding and inspecting agreement and provenance.
A research toolkit using manually coded examples to guide LLM-assisted qualitative analysis.
Documentation for configuring, piloting and distributing AI-assisted interviews.
A research project coordinating agents for science-of-science literature, data and analysis.
Chinese tutorials and reading lists on text-as-data, Python and social-science applications.
A Chinese methods community connecting empirical research, coding and AI workflows.
An engineer’s detailed notes on model behavior, tools, data workflows and evaluation.
Technical learning notes synthesizing research on language models, agents and evaluation.
A researcher-led discussion site for statistical practice, inference and the interpretation of evidence.
University-hosted essays on research methods, scholarly communication and AI in academic work.
A Chinese university directory showing how departments organize AI teaching and research services.
A university account of linking paper discovery, management and tracking in one research workflow.
A Chinese weekly collection of technical articles, tools and projects that can generate research-tool leads.
Lilian Weng explains the systems around an agent: workflow, context, persistent files and evaluation.
Ethan Mollick distinguishes chat, hosted agents and desktop agents through examples of knowledge work.
A research report organizes agent evaluation around methods, real-world settings and the people doing the evaluation.
Gabriel Unger and Arvind Narayanan outline a research agenda for AI that supports human work.