Tools for the everydays research routine
In this session, we will explore a variety of AI-powered tools that can be used in the everyday research routine. These tools can help researchers to discover relevant research papers, analyze and summarize scientific literature, and visualize complex data. By leveraging AI technology, researchers can gain new insights, identify key trends, and make more informed decisions in their research.
(generated with GitHub Copilot)
Open Research Knowledge Graph (ORKG)¶
The Open Research Knowledge Graph (ORKG) enables researchers to create, share, and reuse research knowledge in a structured and machine-readable format. ORKG allows researchers to describe their research contributions, such as papers, datasets, and methods, using a standardized vocabulary and ontology. This enables the creation of a knowledge graph that can be queried and analyzed to identify relationships and patterns in research outputs. The platform is designed to be domain-agnostic and can be used across various disciplines.
- Input and Output Formats
- Input Formats:
- RDF (Resource Description Framework)
- JSON-LD (JavaScript Object Notation for Linked Data)
- CSV (Comma Separated Values)
- BibTeX (for bibliographic data)
- Output Formats:
- RDF (Resource Description Framework)
- JSON-LD (JavaScript Object Notation for Linked Data)
- CSV (Comma Separated Values)
- HTML (for human-readable representations)
- SPARQL (for querying the knowledge graph)
Perplexity¶
Perplexity is a platform that uses AI to provide answers to complex questions. In the context of science, Perplexity can be used to find relevant information and insights from a vast amount of scientific literature. It can help researchers and students to quickly grasp the core concepts and findings of a research area. Additionally, Perplexity can assist in identifying gaps in current knowledge and suggesting new research directions.
Input formats
- Natural language queries
- Text files
- URLs
Output formats
- Plain text
- JSON
- CSV
Researchrabbit¶
Researchrabbit is an AI-powered tool for discovering relevant research papers and academic articles. For scientists, Researchrabbit can be a valuable resource for staying up-to-date with the latest research in their field. It can also help researchers to find relevant studies and data to support their own research. Researchrabbit’s algorithms can identify patterns and connections between papers, making it easier to identify key themes and trends in a research area.
Input formats
- Keywords
- Authors
- DOIs
- PDFs
Output formats
- Bibliographic citations
- Abstracts
- Full-text PDFs
- CSV
Scholarcy¶
Scholarcy is a platform that uses AI to summarize and analyze research papers. In the scientific community, Scholarcy can be used to quickly understand the main findings and contributions of a research paper. It can also help researchers to identify relevant papers and authors, and to visualize the connections between different studies. Scholarcy’s analytics tools can provide insights into the impact and relevance of research papers.
Input formats
- PDFs
- DOIs
- Titles
- Authors
Output formats
- Summarized text
- Key points
- Figures and tables
- CSV
Undermind¶
Undermind is a platform that uses AI to analyze and visualize complex data. In the context of science, Undermind can be used to identify patterns and relationships in large datasets. It can help researchers to gain insights into complex phenomena and to identify new areas of study. Undermind’s visualization tools can also facilitate communication and collaboration among researchers.
Input formats
- CSV
- JSON
- Excel files
- Databases
Output formats
- Interactive visualizations
- Static images
- CSV
- JSON
Elicit¶
Elicit is an AI-powered tool for analyzing and summarizing research papers. For scientists, Elicit can be used to quickly grasp the main findings and contributions of a research paper. It can also help researchers to identify relevant papers and authors, and to visualize the connections between different studies. Elicit’s algorithms can identify key themes and trends in a research area.
Input formats
- PDFs
- DOIs
- Titles
- Authors
Output formats
- Summarized text
- Key points
- Figures and tables
- CSV
SciSpace¶
SciSpace is a platform that uses AI to provide insights into scientific research. It can be used to analyze and visualize research papers, authors, and institutions. SciSpace’s algorithms can identify patterns and connections between papers, making it easier to identify key themes and trends in a research area. Additionally, SciSpace can provide metrics and analytics to evaluate the impact and relevance of research papers.
Input formats
- PDFs
- DOIs
- Titles
- Authors
Output formats
- Bibliometric analysis
- Co-authorship networks
- Institutional profiles
- CSV
Consensus¶
Consensus is an AI-powered platform for analyzing and synthesizing research findings. In the scientific community, Consensus can be used to identify areas of agreement and disagreement among researchers. It can help to identify key themes and trends in a research area and to provide insights into the current state of knowledge. Consensus’s algorithms can also identify gaps in current knowledge and suggest new research directions.
Input formats
- Research articles
- Conference proceedings
- Books
- Expert opinions
Output formats
- Consensus statements
- Confidence scores
- Evidence maps
- CSV
Connected Papers¶
Connected Papers is a platform that visualizes the connections between research papers. For scientists, Connected Papers can be used to identify relevant papers and authors, and to understand the relationships between different studies. It can help researchers to quickly grasp the main findings and contributions of a research paper and to identify key themes and trends in a research area.
Input formats
- DOIs
- Titles
- Authors
- Keywords
Output formats
- Interactive graph
- Node list
- Edge list
- CSV
Litmaps¶
Litmaps is a platform that uses AI to create interactive maps of research papers and authors. In the context of science, Litmaps can be used to visualize the connections between papers and authors, making it easier to identify key themes and trends in a research area. Litmaps’s algorithms can also identify gaps in current knowledge and suggest new research directions.
Input formats
- DOIs
- Titles
- Authors
- Keywords
Output formats
- Interactive map
- Node list
- Edge list
- CSV
Petal¶
Petal is an AI-powered platform for discovering and analyzing research papers. For scientists, Petal can be used to quickly find relevant papers and authors, and to understand the relationships between different studies. Petal’s algorithms can identify key themes and trends in a research area and provide insights into the current state of knowledge. Additionally, Petal can assist in identifying gaps in current knowledge and suggesting new research directions.
Input formats
- Natural language queries
- Keywords
- Authors
- DOIs
Output formats
- Plain text
- JSON
- CSV
- Visualization graphs
Claude AI¶
Claude AI is a language model service that allows developers to integrate AI-powered text processing capabilities into their applications. The service provides a range of natural language processing (NLP) features, including text classification, sentiment analysis, and language translation. With Claude AI, developers can build intelligent chatbots, virtual assistants, and other AI-driven interfaces that can understand and respond to human language.
- Input and Output Formats
- Input Formats:
- Text (plain text, HTML, Markdown)
- JSON (for structured data)
- Output Formats:
- Text (plain text, HTML, Markdown)
- JSON (for structured data)
- XML (for specific use cases)
(Generated with “Ministral - 8b” in BlaBlaDor)