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Quantifying children’s everyday experiences

Project: Individual grant

Project participants

Description

Jacobs Foundation Research Fellowship

Manuel Bohn is a developmental psychologist interested in the psychological foundations of human communication. His current research focuses on how children’s everyday experiences relate to their communicative and cognitive development. To address this question, he seeks to integrate tools developed in Computer Science with methods from Developmental Psychology. For a broader theoretical perspective, he studies the communicative and cognitive abilities of our closest living relatives, the great apes. His goal is to understand the shared and unique aspects of human cognition that allow children to learn language and become healthy and functioning members of the society they grow up in.
StatusActive
Period01.01.23 → 31.12.25
Linkshttps://jacobsfoundation.org/fellows/jacobs-foundation-research-fellowship-en/manuel-bohn-2/
https://manuelbohn.github.io/

Links

Recently viewed

Publications

  1. Influence of Process Parameters and Die Design on the Microstructure and Texture Development of Direct Extruded Magnesium Flat Products
  2. Simple saturated PID control for fast transient of motion systems
  3. Dynamic Lot Size Optimization with Reinforcement Learning
  4. The delay vector variance method and the recurrence quantification analysis of energy markets
  5. Introducing parametric uncertainty into a nonlinear friction model
  6. Faulty Process Detection Using Machine Learning Techniques
  7. TextGraphs 2024 Shared Task on Text-Graph Representations for Knowledge Graph Question Answering
  8. Clause identification using entropy guided transformation learning
  9. Mathematical Modeling for Robot 3D Laser Scanning in Complete Darkness Environments to Advance Pipeline Inspection
  10. Dispatching rule selection with Gaussian processes
  11. Constraints are the solution, not the problem
  12. Dynamic priority based dispatching of AGVs in flexible job shops
  13. Mining positional data streams
  14. Understanding the properties of isospectral points and pairs in graphs
  15. Improving students’ science text comprehension through metacognitive self-regulation when applying learning strategies
  16. Comments on "Tracking Control of Robotic Manipulators With Uncertain Kinematics and Dynamics"
  17. Computing regression statistics from grouped data
  18. From Knowledge to Application
  19. Gaussian processes for dispatching rule selection in production scheduling