IBM Journal of Research and Development

Volume 61 Issue 6 • Nov.-Dec. 2017

Data Science for Social Good
Unprecedented growth of digital information provides special opportunities for having a positive impact on public policy and many other activities for societal benefit. Such activities may use analytics and include projects ranging from helping those in need and improving access to health care and education, to reducing pollution and creating collaboration approaches for effective utilization of various resources. This issue of the IBM Journal of Research and Development emphasizes new solutions, models, capabilities, and technologies that focus on addressing humanitarian challenges. Topics include health and well-being, improvements to cities and ecoscapes, the fostering of innovation and philanthropic projects, addressing the challenges of humanitarian crises and disasters, developing tools for collaboration, and more.
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Aims & Scope

The IBM Journal of Research and Development is a peer-reviewed technical journal, published bimonthly, which features the work of authors in the science, technology and engineering of information systems.

 

The following IBM journal articles are freely available for all users to view:

 

 

Algorithmic Information Theory
Cryptography
Functional Dependencies in a Relational Database and Propositional Logic
Notes on the history of reversible computation
SEQUEL 2: A Unified Approach to Data Definition, Manipulation, and Control
Some Studies in Machine Learning Using the Game of Checkers
The Design of APL
The evolution of RISC technology at IBM
The Experimental Compiling System

 

 

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Meet Our Editors

Editor-in-Chief
Rachel D'Annucci Henriquez
IBM T. J. Watson Research Center