Timo Koch
@timokoch_
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Postdoc @HSGStGallen | PhD @LMU_Muenchen | Computational Social Scientist | Language, ML, Mobile Sensing https://t.co/ooyxDpTFJB
München, Bayern
Joined June 2013
@AnKaKleine @evalermer 🎉 Our paper is now published in AMPPS!.🧐 Learn how to conduct simulation-based power analysis for experimental research with (generalized) linear mixed models (GLMMs). 🚀 Read the full #OpenAccess paper here:.🔗With @FPargent, @AnKaKleine and @evalermer.
journals.sagepub.com
When planning experimental research, determining an appropriate sample size and using suitable statistical models are crucial for robust and informative results...
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🤖 Can algorithms ACTUALLY recognize how we feel from the way we talk in naturalistic settings? .🎙️ We find that voice prosody reveals only limited information on affective experience and is outperformed by semantic content. 📄 Read the preprint here:
osf.io
Humans possess the remarkable ability to recognize affective states (e.g., emotions) from speech prosody (i.e., voice acoustics). Algorithms are now trained to do the same task at scale and increas...
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🚀Excited to share our (w @RudolfDebelak, @assenmacher_mat, @ClemensStachl) new tutorial preprint! Learn how to use transformer models ("LLMs") for text data from your research and make results interpretable with SHAP & LIME! 📊🔍.
osf.io
Large language models and their use for text analysis have had a significant impact on psychology and the social and behavioral sciences in general. Key applications include the analysis of texts,...
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Work with the amazing @Lenafrescamente in beautiful Denmark and explore the interplay between the socio-technological setup of social media platforms and the dynamics of intolerance 🤓 #PhDposition.
JOB ALERT 📢. We're hiring a PhD student at @DDC_SDU @SyddanskUni for an exciting project titled 'High-choice platform environments and the spreading of intolerance' supervised by @Lenafrescamente . Read more about the position here
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New preprint out! 🚀 Our context-enriched approach to smartphone keyboard logging allows for the analysis of the user's input motive, enhancing our understanding of digital communication:..@flobe890 @ClemensStachl @RamonaSchoedel @svenmayerhci @DBuschek.
arxiv.org
While the study of language as typed on smartphones offers valuable insights, existing data collection methods often fall short in providing contextual information and ensuring user privacy. We...
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RT @sannnnnnnaz: 🚨New pre-print alert! 🚨."Lifestyle Polarization: Do Liberals and Conservatives Behave Differently in Daily Life?" https://….
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RT @AndreBittermann: Are you interested in #MobileSensing? 📱📈 Have a look at the open materials of the Smartphone Sensing Panel Study at @Z….
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RT @sannnnnnnaz: See our new chapter on how to collect and analyze data from mobile apps for research in psychology (with my great co-autho….
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🤖🏥What's the current state and future outlook of AI in health care? In our new paper in @jmirpub, we share insights gained from expert interviews on the requirements, challenges, and prospects: .@evalermer @martinanu @matthiashudecek @MarzyehGhassemi.
ai.jmir.org
Background: Artificial intelligence (AI) is often promoted as a potential solution for many challenges health care systems face worldwide. However, its implementation in clinical practice lags behind...
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🧐 Struggling to estimate sample sizes in your experimental research using (generalized) linear mixed models (GLMMs)?.🚀 Explore our preprint (with @FPargent,.@AnKaKleine, @evalermer & Susanne Gaube) to master simulation-based power analysis!.
osf.io
When planning experimental research, determining an appropriate sample size and using suitable statistical models are crucial for robust and informative results. The recent replication crisis...
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This month marks the beginning of a new chapter in my academic journey as I have started a PostDoc with @ClemensStachl at the Institute of Behavioral Science and Technology at @HSGStGallen 🇨🇭🔍 We will be working on digital traces of well-being in smartphone data - stay tuned!
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RT @DunnHappyLab: In a NEW PAPER out today @NatureHumBehav we show that some of the most popular strategies for increasing happiness are n….
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I'm thrilled to announce that I've successfully completed my PhD journey 🎉🥳. Huge thanks to my amazing supervisors, Markus Buehner and @ClemensStachl!. As one chapter ends, another begins. I'm grateful to continue my academic journey as a PostDoc at @HSGStGallen🇨🇭. #PhDone
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RT @emollick: Great paper for teaching & learning. Tell students: “Your goal is to feel awkward and uncomfortable.”. Giving an explicit goa….
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RT @JEichstaedt: Our new work is another piece of evidence that worrying about large scale AI-powered misinfo and mechanized persuasion hit….
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RT @sannnnnnnaz: I'm giving a talk on "Theory-Informed Smartphone Sensing" tomorrow (Thursday) at the Psychology of Media & Tech Precon! Th….
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RT @RobbWiller: #GPT3 and #ChatGPT can produce appeals that persuade humans on political issues (even highly polarized ones), with effect s….
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Happy to have contributed to this new paper on how non-task expert physicians (i.e., non-radiologists) benefit most from correct explainable #AI advice when reviewing X-rays 🏥 🤖.Findings show nicely how AI can help improve workflows and patient safety in #healthcare.
AI-enabled clinical decision support systems (#AICDSS) may improve efficiency and patient outcomes. #AIinHealthcare. New study by Gaube et al. shows non-task expert physicians benefit from correct explainable AI advice for X-rays.
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