Communications of the ACM
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What Does Digitization Mean, and When Did It Begin?
Digitization is on everyone's lips. What does digitization mean and when did it begin?
From BLOG@CACM
Teaching Data Science Research Methods to Human Resources Practitioners: Part Three
How we took advantage of students' expertise in the application domain component of data science.
From BLOG@CACM
AI in the Public Interest: Education and Democracy
Now is a critical time to vigorously pursue public interests in education and to avoid a slippery slide into yielding public governance to an entirely private market...
From BLOG@CACM
Teaching Data Science Research Methods to Human Resources Practitioners: Part Two
"When I heard we will be learning Python, I became anxious."
From BLOG@CACM
Serendipity: When Research in One Area Leads to a Positive Result in Another
A problem of the extremely optimal family of circulant graphs: when research in one scientific field gives an unexpected result in another.
From BLOG@CACM
Teaching Data Science Research Methods to Human Resources Practitioners: Part One
The challenge was to teach data science concepts to students who have gaps in their computer science background and are experts in human resources management and...
From BLOG@CACM
ChatGPT for Provost!
Three to five years from now, we won’t be talking about what ChatGPT can or can’t do, but we could be talking about how ChatGPT brought us all together, and the...
From BLOG@CACM
ChatGPT in Computer Science Education
Asked "How will ChatGPT influence computer science education?" teachers barely addressed the threats it poses.
From BLOG@CACM
Evaluating Research Results for Practical Applications
The role of the application of research results in assessing the achievements of scientists.
From BLOG@CACM
The ChatAlgebra Educational Revolution
We need a ChatAlgebra revolution to reduce the gatekeeping role of the traditional Algebra course, to ameliorate the student suffering associated with the traditional...
From BLOG@CACM
On the Evolution of Languages: Natural, Mathematical, and Computational
Comparing the evolution of natural languages, which are used by people all over the world, with two artificial languages: the language of mathematics and programing...
From BLOG@CACM
How do Authors' Perceptions about their Papers Compare with Co-Authors' Perceptions and Peer-Review Decisions?
Does peer review change authors' perception of their own papers?
From BLOG@CACM
Will Free Open Access Publication Become a Mass Phenomenon?
In this blog post, I would like to go over the value of different publication platforms from the point of view of an ordinary scientific researcher.
From BLOG@CACM
Bad Reasons to Reject Good Papers, and Vice Versa
(or, am I Reviewer #2? Should I be?)
From BLOG@CACM
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.
From BLOG@CACM
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.
From BLOG@CACM
Three Risks Facing Higher Education
The implications of COVID-19 for risk management in higher education.
From BLOG@CACM
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...
From BLOG@CACM