Mohammad Akbarpour

@akbarpour_

Assistant Professor of Economics & Computer Science (by courtesy) . High school teacher Farsi. Tweets are mostly academic.

Vrijeme pridruživanja: veljača 2012.

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  1. Prikvačeni tweet
    7. stu 2019.

    A summary of my research, or why I love research: There are always unknowns in galaxies, and research allows you in some cases to be the first person to discover them. It may happen rarely, but it’s a marvelous feeling when it does.

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  2. 31. sij

    How lucky I was to be randomly sitting next to one and only so that we start talking about this idea (finally published in ) as project of our market design class: Seven years of learning from him while writing multiple papers, and an invaluable friendship.

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  3. 27. sij

    Iranian students being demeaned and deported on US borders in the past several months.

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  4. 19. pro 2019.
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  5. proslijedio/la je Tweet

    Credible Auctions: A Trilemma, Shengwu Li Econometrica, November 2019 .

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  6. proslijedio/la je Tweet

    It's that time of year again! For our holiday reading list, we asked professors to pick a book that they would give to a friend. Their suggestions would make an eclectic gift basket, ranging from fantasy to comedy to a history of genetic sequencing.

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  7. 15. pro 2019.

    This has been Paul’s constant advice to his PhD students. In 2nd year of PhD, Shengwu and I told him that “the paper we are working on seems to be more of a CS paper than Econ.” He said “If you find it important, you should work on it. Field boundaries evolve over time.”

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  8. 15. pro 2019.

    In my jobmarket days, I told Paul Milgrom “In my 2nd visit to school X, I learned sth important: you do research to get tenure from the profession, not from ur school!” Paul, somehow disappointed, replied: “No! You do research to have fun, and to understand or improve the world!”

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  9. proslijedio/la je Tweet
    12. pro 2019.

    One reason why grad students find it tough to do economic theory: It takes courage to make wrong guesses. For (most) problem sets, you know ahead of time that your target theorem is true and provable. For real research, you have to guess. (1/N)

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  10. 18. stu 2019.

    A different kind of matching algorithm for the marriage market!

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  11. 14. stu 2019.

    Against the “lean-in” idea. And a lesson in how to write an abstract! (HT: ).

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  12. 12. stu 2019.

    N/N. The subsequent difference in learning outcomes for the two groups provides an apparent validation for what is merely a self-fulfilling prophecy. The paper:

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  13. 12. stu 2019.

    6/N.It should be noted that in many schools students who are classified as deficient by tests with very weak predictive value are put into classrooms that provide much less deliberate practice than the norm, whereas the opposite is true for students who are classified as gifted.

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  14. 12. stu 2019.

    5/N. Although early measurements of talent, or IQ, independent of other factors have at best small correlation with later accomplishment, simply labeling someone as talented or not has a much larger correlation.

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  15. 12. stu 2019.

    4/N. That predictive value is also small compared to the effects of the learners’ and teachers’ beliefs about learning and the learners’ intellectual capabilities.

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  16. 12. stu 2019.

    3/N. From an educational policy point of view, the most important research result is that any predictive value is small compared to the later effects of the amount and quality of deliberate practice undertaken by the learner.

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  17. 12. stu 2019.

    2/N. The bulk of the research is now showing that, excepting the lower tail of the distribution consisting of students with pathologies, the predictive value of any such early tests of intellectual capability [IQ tests] is very limited.

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  18. 12. stu 2019.

    1/N. I’m surprised by how many still think of “IQ”, as measured by some multiple choice test, as a relevant measure for anything beyond that specific test. I’m next quoting a paper by Carl Wieman (a physics Nobel laureate who’s been studying education for a few decades) on this:

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  19. 7. stu 2019.
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  20. 7. stu 2019.

    We prove that the answer is “yes.” You can satisfy a substantially richer constraint set if you allow for small errors, *on top of* satisfying the bihierarchical quotas with no error as before. The proof is constructive: we design a stochastic matching algorithm that does this.

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