BLOG@CACM
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Often, "we do this and then we do that" is just a lazy way of stating "to do that, we must have achieved this."
Why Is It Hard to Define Data Science?
Data science can be described as a science, as a research paradigm, as a research method, as a discipline, as a workflow, and as a profession.
Data Backup and VM Modernization: How-to Guide
A guide to VM modernization when dealing with data backups.
The Process-Object Duality in Computer Science and Data Science Education
The process-object duality has several educational implications for the design of teaching and learning processes.
Starlink’s Critical Vulnerability, or Elon Musk is Not Worrying in Vain
We analyze the operations of the Starlink Global Satellite System deployed by SpaceX, in terms of its security and resilience.
Choosing a DAST Solution: What to Pay Attention To
The tool characteristics and parameters you need to pay attention to, and the product types currently available on the market.
Data Loss Prevention vs. Data-Centric Audit and Protection: What Is the Difference?
A look at the typical tasks solved by DCAP systems, and how they differ from those solved by DLP systems.
Data Governance and the Psychology of Tension Management
The balancing of the chaos of no data tension and too much tension on data assets is what data governance frameworks and processes attempt to manage.
Three Risks Facing Higher Education
The implications of COVID-19 for risk management in higher education.
In Pursuit of an International Computation Center in Europe
The story of the UNESCO International Computation Center.
Reflections on the AI Bill of Rights Blueprint
The White House Office of Science and Technology Policy has released a "Blueprint for an AI Bill of Rights." I reflect on this milestone document in the context of educational systems.
A new technology, broadly deployed, raises profound questions about its impact on American society.
Where to Look: CS Ethics Research
A select range of publications, peer-reviewed or close, provide sources for student research.
Four Conversations About Human-Centric AI
I discuss the different conversations, their limits, and what we really need to be talking about.
New Research Vindicates Fodor and Pylyshyn: No Explainable AI Without ‘Structured Semantics’
In this short article, we generalize recent research results that clearly make the point that "there can be no explanation without semantics."
Heinz Rutishauser, a Forgotten Swiss Pioneer
A look at the little-known Rutishauser, who created "automatic programming" and was one of the "authoritative fathers" of the Algol programming language.
Lessons Learned Writing For BLOG@CACM
...and how to become a better technical writer In the process.
Opportunities of Data Science Education
Considering the six new and exciting opportunities that data science presents.
Shape the Future of Computing
ACM encourages its members to take a direct hand in shaping the future of the association. There are more ways than ever to get involved.
Get InvolvedCommunications of the ACM (CACM) is now a fully Open Access publication.
By opening CACM to the world, we hope to increase engagement among the broader computer science community and encourage non-members to discover the rich resources ACM has to offer.
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