Aniket Kittur

Aniket Kittur is a researcher at Carnegie Mellon University, focusing on Human-Computer Interaction, Crowdsourcing, and Artificial Intelligence. His work explores how Generative AI and Large Language Models can enhance creative ideation, scientific innovation, and information sensemaking.

• 2025: BioSpark and Inkspire systems for biological-analogical and AI-augmented design.
• 2024: Contributions to semantic reading interfaces and analogical search engines.
• 2023-2022: Tools like Selenite and BioSpark for organizing inspiration and decision-making.
• Earlier Work: CrowdForge (2011), Analogy Mining (2018), and social dynamics in Wikipedia (2013).

His research emphasizes cross-domain knowledge transfer, AI-human collaboration, and scalable sensemaking. While no scientific awards or student lists are explicitly mentioned in the provided text, his collaborations span institutions and disciplines, including projects like Synergi and Threddy for scholarly synthesis. Recent articles highlight LLM-augmented transfer and generative analogical scaffolding as key trends.