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Dr Janet Murdock

Senior Computer Scientist
Artificial Intelligence Center

SRI International
Room EJ290
333 Ravenswood Avenue
Menlo Park, CA 94025-3493
USA

Phone:  (650) 859-4860
Fax: (650) 859-3735

Email: 

Biography and Interests

Janet Murdock, Ph.D., is a Senior Computer Scientist in SRI International’s Artificial Intelligence Center. Her research interests include applications of formal methods to static and dynamic code analysis, knowledge representation and reasoning, evaluation of machine learning systems, and mixed-initiative systems.

Murdock was a co-leader of evaluation efforts for the CALO (Cognitive Assistant that Learns and Organizes) project, a large, multi-institutional, DARPA program focused on applying machine learning techniques to office workers’ desktop applications to improve the quality and quantity of work output. The CALO system underwent “Go—No Go” tests to measure its learning ability and determine if the team had made sufficient progress to receive the next year’s funding. She guided researchers’ efforts to meet test requirements so that the CALO team successfully secured the full five years and $200 million of funding available on the program. Murdock also stepped in as evaluation leader for an SRI-led team of researchers on IARPA’s Knowledge Discovery and Dissemination program after they struggled with their first evaluation. She assisted the team in bringing performance up so that SRI was one of two teams selected (from a field of four teams) to continue in the next year of the program.

Prior to joining SRI, Murdock developed monitoring and optimization solutions for coal-fired power plants at Praxis Engineers, Inc. and then General Electric after General Electric acquired Praxis Engineers in 2001. She also developed design automation applications at Design Power, Inc. Design Power developed products that were integrated with AutoCAD and MicroStation CAD software to assist engineers with plant design and pipe routing for chemical plants and co-generation facilities. Design Power was acquired by Bentley Systems (the maker of MicroStation) in 2007. Prior to obtaining her degrees in computer science, Murdock was a chemical engineer, and did product development of specialty polymer-based products for Raychem corporation and process design of petrochemical plants for Chevron Research and Technology. Murdock has a Ph.D. and M.S. in computer science from Stanford University, an M.S. in chemical engineering from Massachusetts Institute of Technology, and a B.S. in chemical engineering from Purdue University.

Current Projects

Task Assistant

Task Assistant

Task Assistant is a flexible, web-based workflow application that enables an organization to move its operating procedures from manuals and human memories into living collaborative artifacts. Task Assistant is fully collaborative, allowing multiple users to simultaneous edit, build, or execute workflows.

Past Projects

CALO

Cognitive Assistant that Learns and Organizes

As part of DARPA’s Personalized Assistant that Learns (PAL) program, SRI and team members are working on developing a next-generation "Cognitive Agent that Learns and Organizes" (CALO).

Dovetail

DoVETAIL: Domain Vocabulary Extraction and Transduction, and Auto-Induction of Layout

The ability to quickly produce actionable intelligence from unanticipated, multiple, varied data sets require research advances in two key areas: (1) alignment of data models; and (2) advanced analytic algorithms. Making advances in these two research areas, and fully characterizing the performance of the research results, is the focus of this project, which is part of the IARPA Knowledge Discovery and Dissemination (KDD) Program.

HARP

HARP: Human Augmented Reasoning through Patterning

This project developed: 1) cognitive aids that allow humans and machines to "think together" in real-time about complicated problems; 2) techniques to overcome the biases and limitations of the human cognitive system; 3) "cognitive amplifiers" that help teams of people rapidly and fully comprehend complicated and uncertain situations; and, 4) the means to rapidly and seamlessly cut across and complement existing hierarchical organizational structures.

PRIME

PRIME: A Predictive Model Development Environment

The goal was to develop PRIME, an effects-based modelling tool, as a web application. PRIME supports rapid, collaborative development of forecasts of the effects of a planned set of DIME (diplomatic, informational, military, or economic) actions.

TransPAL

TransPAL: Transitioning PAL Technologies

The TransPAL project is transitioning a number of technologies developed on the DARPA PAL program for use by various members of the Armed Services.

Software

Angler

Angler

Angler is a tool that helps intelligence/policy professionals explore, understand, and overcome cognitive biases, and collaboratively expand their joint cognitive vision through use of divergent & convergent thinking techniques (such as brainstorming and clustering).

PRIME

PRIME

The Probative Rapid Interactive Modeling Environment (PRIME) is a decision-support web application that provides modeling and reasoning capabilities intended to stretch the thinking of analysts and decision makers by producing a forecast of the plausible effects that could result from taking actions in a given situation. The plausibility of each forecast effect is explained by one or more structured arguments.

SEAS: Structured Evidential Argumentation System

SEAS: Structured Evidential Argumentation System

SEAS is a tool to aid analysts in reasoning about potential opportunities/crises. It records analytic thinking in structured arguments, provides a collaborative environment in which multiple analysts can simultaneously contribute to arguments, and retains a coproate memory of the evolution of analytic thinking over time.

Publications

The following are in reverse chronological order of publication.
Showing most recent 5 out of 7 [View All]

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