The Council of the University Senate will meet on Friday to continue discussions over the creation of a new Division of Computational and Mathematical Sciences.
The new division, whose establishment was recommended by a faculty committee in an October report, would initially include the Departments of Computer Science, Mathematics, and Statistics. It could eventually house a new AI institute, offer new degree programs, and require additions to the College’s Core requirements.
Discussions about creating a new division have been ongoing since at least May 2024, when a previous report by the Committee on Advancing Computing and AI recommended that departments “central to AI [and machine learning] foundations” split off to form a “new decanal unit.” The October report outlined the importance of a new division that could better support other disciplines across the University as AI becomes increasingly foundational to academic research and would “affirm the University’s commitment to intellectual leadership in a world increasingly shaped by these fields.”
The new division “would be good for the University as a whole in the sense that [its] fields are increasingly important across a range of human intellectual activity right now,” Hank Hoffmann, chair of the computer science department, told the Maroon.
To pass, the proposal would need a majority vote from the 51 elected members of the Council of the University Senate. That vote, however, would be subject to veto by the University president and the final decision would rest with the Board of Trustees.
If approved, the new division would be a significant change to the structure of the University, which has been composed of four divisions, Biological Sciences, Social Sciences, Physical Sciences, and Humanities—renamed Arts & Humanities last year—since 1930. The Physical Sciences Division currently houses the computer science, mathematics, and statistics departments. A new division would also create “an opportunity to explore ways to further integrate computational thinking into the mathematical sciences sequence in the Core,” according to the October report.
Standard operating procedure in the Council is to hold two meetings on a potential decision and take a vote at the second meeting, according to David Miller, who serves on the Committee of the Council, a managerial body of the Council. Although the Council completed a first reading of the report on December 9, making the coming Friday the second reading, Hoffmann said he was unaware of any plans for a vote.
Some faculty members have expressed concern about the quick timeline and the lack of revisions incorporated into the report recommendations despite feedback the faculty members offered.
Miller, who also participated in an April 14 “panel of supporters and critics” of the proposal, shared a number of concerns with the Maroon about “the lack of robust discussion amongst the faculty and a simultaneous lack of serious assessment of the broad implications that creating such a new division might have.”
This Friday’s meeting was not initially scheduled, according to Miller, and is being held because the Committee of the Council insisted on it. The committee was “shocked that [a meeting] had not been built into the schedule as per standard operating procedure,” he said.
Miller also noted that there have been no revisions to the report despite what he described as “significant feedback” from faculty. Though it is “normal matter of course” for reports to be revised, it is not a formal requirement, and a vote could proceed without it at either of the upcoming Senate meetings, Miller said.
“It’s been ~30 weeks since the report was finalized and there have been 5 Council meetings since the report was delivered to the Council, and not so much as a footnote has been added,” Miller wrote in an email to the Maroon.
According to both Miller and the October report, a primary concern for many faculty members is a financial one—both the potential for weaker fundraising in a smaller Physical Sciences Division and the significant cost of launching a new division amid significant budget issues.
“There are people in the Physical Sciences Division who are worried that this will dramatically financially injure the remaining departments in the Physical Sciences Division,” Miller said. The report mentions the need for “careful institutional understanding and attention” to budgetary issues but does not address how they would be resolved.
Miller also noted that although the May 2024 report listed “a more comprehensive study exploring intellectual and financial tradeoffs” of creating a new division as its first “major” recommendation, no such study has been conducted. Financial concerns “[weren’t] something that the committee really investigated,” according to Hoffmann.
The Physical Sciences Division receives a significant share of its revenue from the computer science and data science departments, which have the division’s largest undergraduate enrollments and operate its largest master’s programs. Computer science, data science, statistics, and computational and applied mathematics master’s programs account for 79 percent of master’s enrollment in the Physical Sciences Division, according to University enrollment reports. “Financially, [computer science] and data science…are generating well over $100 million per year in tuition, research awards and gifts,” computer science, data science, and statistics department chairs and faculty wrote in an op-ed in the Maroon in September.
The Massachusetts Institute of Technology; the University of California, Berkeley; and the University of Wisconsin–Madison have all announced new academic divisions in computer science in the past decade. At the April 14 panel, computer science professor Ben Zhao commented on lucrative job offers he had received from other universities, according to multiple faculty members who were present. It is common in computer science for top faculty to be poached by universities in a bid to attract talent.
There has also been a broader explosion in salaries for academic researchers in technology. According to a March report released by the Becker Friedman Institute, more than two-thirds of AI researchers work in industry, up from less than half in 2001. While top industry earnings nearly quadrupled between 2001 and 2021 to $1.94 million in 2015 dollars, both top and average academic salaries have barely changed.
In the October report, Hoffmann and his colleagues wrote that “[i]naction would be an existential crisis for the University, not just in core AI, but across nearly all disciplines of academic inquiry,” comparing Al’s integration into basic research to the introduction of microscopes in the natural sciences.
Regardless of whether a vote happens in the next month, Hoffmann said there is “a hunger” for collaboration with researchers across the University. “I’d like a new division like this to have a deputy dean whose job it is to try to facilitate these collaborations.”
“My colleagues in other units of the University want to work with computer scientists. We have computer scientists that want to work with the rest of the University,” Hoffmann said.

To Glass / May 16, 2026 at 2:57 pm
Everyone and their mother wants to do AI. Doing AI is nothing special, just FOMO. Nowadays even community colleges and trade schools are harping their Data Science programs. If anything, in this climate when every other university is fervently taking the plunge into AI, not doing so makes us stand out. It’s not an area of our strength anyway: we can’t compete with engineering powerhouses like MIT or Berkeley, probably not even UIUC. And who is to say that Arts and Humanities would not see a higher demand, now that AI is going to undertake all menial STEM jobs, and free up time for leisurely pursuits?
Glass / May 19, 2026 at 10:18 pm
If that’s true, then did UChicago make a mistake hiring the humanities professors who are now working on AI research because they are nothing special, chasing FOMO, and grifters? neubauercollegium.uchicago.edu/research/humanistic-ai
Wasn’t UChicago also founded long after many of the Ivy League schools? Seems like the university would be and might be a nobody if it ran away from research areas because people were afraid it couldn’t compete with older and more established schools.
If universities and the arts and humanities are about leisurely pursuits, then why does it matter whether the university is competitive at anything?
To Glass / May 21, 2026 at 12:43 pm
The humanities professors are not “working on AI research.” They use AI in their research, just like they would use Microsoft Excel or Google Search. They do not claim to be leaders in AI research like the grifters in this proposed new division.
UChicago does not “run away from research areas,” the University is exemplified by faculty who created new research areas, not grifters who follow the latest fad.
Milkman / May 13, 2026 at 11:28 am
The name of this division is just smoke and mirrors. If it happens, it will be run by the Data Science Institute and Computer Science Department, the weakest department in PSD.
The people behind this new division are resource- and power-grabbing grifters, peddling snake oil to funding agencies to get big grants and using that to buy influence within the University. They do not deserve a division for themselves, let alone dictate policies for the rest of the university.
These grifters sell themselves as leaders of their field to the university leadership but they are not. They are opportunists who claim expertise in whatever is the flavor-of-the-year, which now happens to be DS/AI. None of them pioneered anything of note in these areas. Ten years ago they were all doing totally unrelated work, whatever was the flavor-of-the year then.
Students enroll in their degree programs because of the University of Chicago label, not because of the reputation of the CS department or DS program, which is utterly abysmal. Their degree programs are profitable only because they piggyback on the hard-earn reputation of the University built by generations of scholars.
The University of Chicago is jumping down a toilet drain to follow the DS/AI fad. Alivisatos needs to wake up and realize that he is dealing with grifters. Grifters whose claim to legitimacy is that they bring in huge amount of grant money and tuition revenue, through selling snake oil with the University of Chicago’s label on the bottle.
Cookiejar / May 13, 2026 at 2:21 pm
What are some examples of the snake oil they’re selling?
Spoiled Milk / May 13, 2026 at 9:51 pm
You present the rise of computational and data-driven research as though it were a temporary administrative fashion rather than one of the defining methodological transformations of modern scholarship. Computational methods now sit at the center of serious work in physics, biology, economics, linguistics, public policy, and medicine. One need not admire every institutional initiative surrounding AI or data science to recognize this elementary fact.
Your argument also rests on a profoundly unserious understanding of academic research. You speak of grants and institutional influence as though they were signs of corruption in themselves. Research universities allocate resources toward fields that produce intellectual output, attract talent, sustain laboratories, and generate scholarly relevance. This has always been true. The difference is that you appear to resent the particular fields currently succeeding within that system.
Most revealing is your insistence that these scholars merely chase the “flavor of the year.” Serious researchers evolve alongside their disciplines. Methods change. Questions change. Entire fields reorganize around new capabilities and new forms of evidence.
And the suggestion that students enroll solely because of the institutional brand inadvertently undermines your own position! Universities maintain reputations precisely by adapting to consequential areas of inquiry rather than retreating into ceremonial self-regard. Students are not oblivious to quality, nor are funding agencies operating under mass delusion. Entire sectors of academia, industry, and science are reorganizing around computational approaches because those approaches produce results.
You are entitled to skepticism toward administrative expansion. What you have offered instead is contempt unsupported by substance, nostalgia elevated into worldview, and the familiar conceit that any discipline one does not respect must therefore be fraudulent. One expects stronger standards of analysis from someone shaped by a university education, especially one ostensibly committed to intellectual seriousness…
Milkman / May 14, 2026 at 12:54 pm
The defining characteristic of good research is originality. True scholars have a mind of their own. Grifters feign expertise in whatever is in this morning’s news cycle.
Glass / May 14, 2026 at 11:21 pm
Does that mean every professor at the University of Chicago who’s working on AI is a grifter?
Spoiled Milk / May 15, 2026 at 11:09 am
Then by your definition, any scholar who adopts new methods becomes a “grifter.” Physicists who embraced computation. Economists who adopted econometrics. Biologists using large-scale genomic analysis. You invoke “originality” as though serious research consists of refusing methodological change out of personal stubbornness. It does not. Scholars adapt because knowledge advances.
And you still have not identified the alleged fraud. You have merely repeated the word “grifter” with increasing theatricality while expressing resentment that computational fields now attract funding, students, and institutional influence.
Your comments read less like principled criticism than the bitterness of someone decades removed from the last time anyone took his intellectual pretensions seriously, now reduced to anonymously haunting his alma mater’s student newspaper comment section in search of the relevance real life denied him.
A final thought: I assume you also post under “Garbageman.” If so, you are the same tedious troll who has been polluting The Maroon’s comment section for years. This is the first time I have bothered to engage with you seriously. Frankly, I expected more substantial arguments from you. What a pity that such sustained intellectual arrogance seems to have produced so little intellectual distinction.
To Spoiled Milk / May 21, 2026 at 1:07 pm
You wrote: “Then by your definition, any scholar who adopts new methods becomes a “grifter.” Physicists who embraced computation. Economists who adopted econometrics. Biologists using large-scale genomic analysis.”
I did not say that. These scholars use AI the way they use Excel or Google. They do not claim to have any expertise in AI, unlike the grifters, who are all world-leading experts in AI or whatever else is in fashion.