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I'm a computer science professor at Boise State, working on recommender systems and fairness in information systems. I usually databases, data science, or recsys.

My main topic right now is figuring out how fairness concepts apply to recommender systems (md.ekstrandom.net/research/fai); I am also working on information systems to support teachers (coen.boisestate.edu/piret/proj) and open, reproducible research in recommender systems (md.ekstrandom.net/research/rep).

starts next week. Now waiting for my flight out. So excited for this year's conference! In addition to serving as General Chair, I have a paper that's my first where I was able to provide reproduction scripts during peer review. Paper, code, and draft talk slides at md.ekstrandom.net/pubs/book-au.

Our paper is the first time I have been able provide replication scripts at peer review time. That paper and full scripts are now online: boi.st/RecSys2018Gender

Ever read one of those papers that just makes you sad about whether we can ever know anything?

There's now this about the (lack of) consistency in results from independent analysis teams addressing the same question with the same data: psyarxiv.com/qkwst/ (paywalled version of record: doi.org/10.1177/25152459177476)

It’s not data ethics, it’s ethics.

It’s not data privacy, it’s privacy.

It’s not digital rights, it’s human rights in the digital/networked age.

Let’s make sure we keep the focus on what’s important and not allow well-understood terms, concepts, and existing rights to be redefined by those with vested interests in clouding* the conversation and eroding our human rights by backdooring in a new set of lesser rights for the digital/networked aspects of our selves.

* See what I did there? 😛

@mdekstrand With my work on fairness in information access systems, I am trying to learn more about the social systems that they inhabit and documenr, so I am reading books like The Color of Law. Not good for my blood pressure.

Hi Scholar.social! 👋

I and Christina Bergmann created compcog.science for keeping a list of of minority computational cognitive modellers/scientists.

There's very few of us and we want to know who's out there!

Please boost to get more names! ☺️

Greetings to new friends on scholar.social

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The Color of Law, Ch. 7. Churches. (╯°□°)╯︵ ┻━┻

CS Prof @ U, Utah, working on fairness, accountability and transparency in CS and beyond. Founder of the FAT* conference (fatconference.org).

I should perhaps also say that I am very much into bicycles and have two pet rabbits. They may come up from time to time.

I'm a computer science professor at Boise State, working on recommender systems and fairness in information systems. I usually databases, data science, or recsys.

My main topic right now is figuring out how fairness concepts apply to recommender systems (md.ekstrandom.net/research/fai); I am also working on information systems to support teachers (coen.boisestate.edu/piret/proj) and open, reproducible research in recommender systems (md.ekstrandom.net/research/rep).

Scholar Social

A Mastodon instance for academics

Scholar Social is a microblogging platform for researchers, grad students, librarians, archivists, undergrads, academically inclined high schoolers, educators of all levels, journal editors, research assistants, professors, administrators—anyone involved in academia who is willing to engage with others respectfully.

We strive to be a safe space for queer people and other minorities, recognizing that there can only be academic freedom where the existence and validity of interlocutors' identities is taken as axiomatic.

"A Mastodon profile you can be proud to put on the last slide of a presentation at a conference"

"Official" monthly journal club!

(Participation is, of course, optional)

Scholar Social features a monthly "official" journal club, in which we try to read and comment on a paper of interest.

Any user of Scholar Social can suggest an article by sending the DOI by direct message to @socrates@scholar.social and one will be chosen by random lottery on the last day of the month. We ask that you only submit articles that are from *outside* your own field of study to try to ensure that the papers we read are accessible and interesting to non-experts.

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