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The case of a People Analytics Workshop for undergraduate computer science students.

Critical sections in analytic workflows.

Digitization is on everyone's lips. What does digitization mean and when did it begin?

Our institution's organizational culture has changed; social and political issues now constitute a vital part of the discourse taking place on campus and on the...

The last week of October in the year 2023 may be remembered as the week when lawmakers made a real effort to outpace technology.

That phrase translates roughly to "do your job and let others do theirs," but in our division, it was intended to stifle troublesome question-asking.

The blurred lines of photographic reality in the AI Era.

Objective evaluation of the linguistic competency of large language models (LLMs) is of paramount importance as we start contemplating the use of this technology...

I discuss the social protest from the data science perspective, highlighting the challenges arise in the different steps of a data science process.

Unlock global success with IT product localization. Discover how you can expand your reach and boost customer satisfaction through effective localization strategies...

The challenge of data.

A forgotten universal genius.

The ideology or impartiality of artificial intelligence.

Questions about testimony as a means of knowledge acquisition may apply to AI chatbots.

Generative AI may turn out to be disruptive technologies for computer science education, but  generative AI can also be conceived of as an opportunity for computer...

Cybersecurity was not always top of mind when these devices were being created.

Nothing in the training and use of LLMs would seem to suggest remotely that they can do any type of principled reasoning.

Something that has long frustrated me with the Java ecosystem was the number of Web application frameworks. 

In designing collaborative learning, design AI features using realistic examples of students’ learning; support teachers' awareness; develop students' sense of...

Robots will likely revolutionize software engineering ranging from code reviews and bug fixing to automated refactoring, backlog prioritization, and employee appraisals...