His primary areas of investigation include Management science, Knowledge management, Ontology, Operations research and Simulated annealing. As a part of the same scientific study, he usually deals with the Management science, concentrating on Variety and frequently concerns with Taxonomy, User interface and Theory of computation. His Knowledge management research includes themes of Abstraction, Business process reengineering and Technical feasibility.
His research integrates issues of Software, Service and Semantic Web in his study of Ontology. His Simulated annealing research incorporates themes from Contrast and Computational model. His Mathematical optimization study combines topics from a wide range of disciplines, such as Field and Protocol.
Mark Klein spends much of his time researching Knowledge management, Interdependence, Management science, Protocol and Risk analysis. His Knowledge management study combines topics in areas such as Concurrent engineering, Resource, Exception handling and Argumentation theory. His work in Exception handling addresses subjects such as Software engineering, which are connected to disciplines such as Collaborative design.
He has researched Argumentation theory in several fields, including Collective intelligence and Knowledge sharing. His Management science study incorporates themes from Simulated annealing and Complex system. His Protocol research includes elements of Computer security, Private information retrieval, Distributed computing, Field and Mathematical optimization.
Mark Klein mainly investigates KATRIN, Electron, Nuclear physics, Neutrino and Collective intelligence. While the research belongs to areas of Neutrino, he spends his time largely on the problem of Mass scale, intersecting his research to questions surrounding Tritium and Astroparticle physics. His Collective intelligence research is within the category of Knowledge management.
His Knowledge management research is multidisciplinary, incorporating elements of Online community and Engineering ethics. His Social computing study also includes
Mark Klein mainly focuses on Nuclear physics, KATRIN, Neutrino, Collective intelligence and Protocol. In general Nuclear physics, his work in Electron is often linked to Magnetic flux, Beam diameter and Superconducting magnet linking many areas of study. His research integrates issues of Social computing and Data science in his study of Collective intelligence.
His Protocol study combines topics in areas such as Quality, Space, Risk analysis and Management science. The study incorporates disciplines such as Scalability, Mathematical optimization and Data mining in addition to Quality. His Management science study incorporates themes from Testbed, Multi-agent system and Decision support system.
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Tools for Inventing Organizations: Toward a Handbook of Organizational Processes
Thomas W. Malone;Kevin Crowston;Jintae Lee;Brian Pentland.
Negotiating Complex Contracts
Mark Klein;Peyman Faratin;Hiroki Sayama;Yaneer Bar-Yam.
Improved Upper Limit on the Neutrino Mass from a Direct Kinematic Method by KATRIN
M. Aker;K. Altenmüller;M. Arenz;M. Babutzka.
Physical Review Letters (2019)
Supporting conflict resolution in cooperative design systems
A Knowledge-Based Approach to Handling Exceptions in Workflow Systems
Mark Klein;Chrysanthos Dellarocas.
Capturing design rationale in concurrent engineering teams
Searching for services on the semantic web using process ontologies
Mark Klein;Abraham Bernstein.
People with absolute pitch process tones without producing a P300.
Mark Klein;Michael G. H. Coles;Emanuel Donchin.
Multi-issue negotiation protocol for agents: exploring nonlinear utility spaces
Takayuki Ito;Hiromitsu Hattori;Mark Klein.
Auctions and bidding: A guide for computer scientists
Simon Parsons;Juan A. Rodriguez-Aguilar;Mark Klein.
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