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Elisa Mekler
@elisamekler
AssistProf Human-Computer Interaction & Games; Exil-Baslerin; I mostly play JRPGs and surreal games - header screenshot Nepenthe by
where the City Pop playsJoined May 2012

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Can attest, it is a really cool gig (I might be biased though). If you are interested and/or questions, I happily answer them¨¨
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We have an exciting announcement 🎉 The ReproducibiliTea Steering Committee is growing, and you're invited! Be part of shaping one of the most exciting and dynamic Open Science communities over the coming years. The (short) application form is here forms.gle/HWPM7psynqRBnY
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Die Oktoberfolge ist online!🤩 Diesen Monat sind wir im Feld der Mensch-Computer-Interaktion #HCI unterwegs und durften mit () darüber sprechen, wie partizipatives Design genutzt werden kann, um Biases in #KI entgegenzuwirken💪🎧:
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I'm recruiting #PhD students to start in Fall 2023 at Northeastern University. I would be thrilled to work with PhD students on human-computer interaction (HCI), digital health equity, community-engaged research, & personal health informatics. More info:
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so here's a story I volunteer helping seniors with their technology issues. One of my regulars came in with a Lenovo laptop. It still had a retail sticker; I imagine she bought it used, for over $500 "I bought this so recently, how is it already so slow," she asked me
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The saddest thing for me about modern tech’s long spiral into user manipulation and surveillance is how it has just slowly killed off the joy that people like me used to feel about new tech. Every product Meta or Amazon announces makes the future seem bleaker and grayer. 1/n
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Interesting article - In the ps1 game dokidoki poyatchio (unique life sim with light romance options! Recommended), the game trips the character if they were moving too fast for the art to load
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【ニュース】「ゲームのロード」のために“主人公をわざと転ばせる”PS1ゲームの工夫が話題を集める。意外なかたちで紐解かれる真実 automaton-media.com/articles/newsj
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It's a mistake to think that inference is supposed to be exclusively a function of data. That's not what science is about. That's not the point of doing research. Every time these studies come out, I'm baffled at both the motivation behind them and the reactions they get.
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Theory matters. Models matter. Assumptions and assumption violations matter. Methods are not equivalent in their assumptions or statistical guarantees. We do not make inference in a vacuum. That's also why reproducibility doesn't mean what people think it means. All in the paper.
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Thinking this is scary suggests to me that the wrong message is taken here. As we said in our recent preprint, scientists do not understand experiments. That seems to be the bigger issue.
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🚨 New preprint 🚨 “The logical structure of experiments lays the foundation for a theory of reproducibility” In which we show why meaningful replications need to be based on deeper theoretical understanding and stronger empirical foundations. biorxiv.org/content/10.110
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What's strange is that it's supposed to be surprising/problematic that we arrive at different results under different models making different assumptions, using different methods that also make different assumptions. It's almost as if our inference depends on the model/method.
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Scary: 73 teams tested the same hypotheses with the same data. Some found negative results, some positive, some nada. No effect of expertise or confirmation bias. "Idiosyncratic researcher variability is a threat to the reliability of scientific findings." osf.io/preprints/meta
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