
Timo Koch
@timokoch_
Followers
181
Following
568
Media
134
Statuses
589
Postdoc @HSGStGallen | PhD @LMU_Muenchen | Computational Social Scientist | Language, ML, Mobile Sensing https://t.co/ooyxDpTFJB
MΓΌnchen, Bayern
Joined June 2013
@AnKaKleine @evalermer π Our paper is now published in AMPPS!.π§ Learn how to conduct simulation-based power analysis for experimental research with (generalized) linear mixed models (GLMMs). π Read the full #OpenAccess paper here:.πWith @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...
0
1
4
π€ Can algorithms ACTUALLY recognize how we feel from the way we talk in naturalistic settings? .ποΈ We find that voice prosody reveals only limited information on affective experience and is outperformed by semantic content. π 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...
1
0
1
πExcited 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! ππ.
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,...
0
5
9
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 π€ #PhDposition.
JOB ALERT π’. 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
0
2
3
New preprint out! π 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...
0
1
5
RT @sannnnnnnaz: π¨New pre-print alert! π¨."Lifestyle Polarization: Do Liberals and Conservatives Behave Differently in Daily Life?" https://β¦.
0
20
0
RT @AndreBittermann: Are you interested in #MobileSensing? π±π Have a look at the open materials of the Smartphone Sensing Panel Study at @Zβ¦.
0
3
0
RT @sannnnnnnaz: See our new chapter on how to collect and analyze data from mobile apps for research in psychology (with my great co-authoβ¦.
0
5
0
π€π₯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...
0
1
2
π§ Struggling to estimate sample sizes in your experimental research using (generalized) linear mixed models (GLMMs)?.π 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...
1
3
15
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 π¨ππ We will be working on digital traces of well-being in smartphone data - stay tuned!
1
1
30
RT @DunnHappyLab: In a NEW PAPER out today @NatureHumBehav we show that some of the most popular strategies for increasing happiness are nβ¦.
0
133
0
I'm thrilled to announce that I've successfully completed my PhD journey ππ₯³. 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 @HSGStGallenπ¨π. #PhDone
5
0
37
RT @emollick: Great paper for teaching & learning. Tell students: βYour goal is to feel awkward and uncomfortable.β. Giving an explicit goaβ¦.
0
224
0
RT @JEichstaedt: Our new work is another piece of evidence that worrying about large scale AI-powered misinfo and mechanized persuasion hitβ¦.
0
4
0
RT @sannnnnnnaz: I'm giving a talk on "Theory-Informed Smartphone Sensing" tomorrow (Thursday) at the Psychology of Media & Tech Precon! Thβ¦.
0
4
0
RT @RobbWiller: #GPT3 and #ChatGPT can produce appeals that persuade humans on political issues (even highly polarized ones), with effect sβ¦.
0
17
0
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 π₯ π€.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.
0
1
5