Human Computation

About this Journal

Human Computation is an international and interdisciplinary forum for the electronic publication and print archiving of high-quality scholarly articles in all areas of human computation, which concerns the design or analysis of information processing systems in which humans participate as computational elements.

The Current issue is available here.

Print versions of past issues are available here.

Further announcements and discussions about this journal can be found in the following channels:

hcjournal      @HCjnl      Human Computation - interdisciplinary journal


Community-driven   Open-access   No Author Fees   International   Multidisciplinary

Key disciplines

Artificial Intelligence
Behavioral Sciences
Cognitive Science
Complexity Science
Computer Engineering
Cultural Anthropology
Evolutionary Biology
Human-Computer Interaction
Information Science
Operations Research


Submission Topics

(Editorial keywords are in boldface - please see author guidelines for details)

Applications - novel or transformative applications
Interfaces - Human-Computer Interaction or related human factors methods or issues
Modalities - general interaction paradigms (e.g., gaming) and related methods
Techniques - repeatable methods, analogous to design patterns for OOP
Algorithms - wisdom of crowds, aggregation, reputation, crowdsourced analysis, and ML/HC
Architecture - development platforms, architectures, languages, APIs, IDEs, and compilers
Infrastructure - relevant networks, protocols, state space, and services
Participation - factors that influence human participation
Analysis - techniques for identifying typical characteristics and patterns in human computation systems
Epistemology - the role, source, representation, and construction of information
Policy - ethical, regulatory, and economic considerations
Security - security issues, including surreptitious behavior to influence system outcomes
Society - cultural, evolutionary, existential, psychological, and social impact
Organization - taxonomies of concepts, terminology, problem spaces, algorithms, and methods
Surveys - state of the art assessments of various facets
Meta-topics - insightful commentary on the future, philosophy, charter, and purpose of HC