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== Planning == === Week 1: Research questions and the literature === ==== Class I: Research questions (Feb 5) ==== '''''Preparation'':''' * Familiarize yourself with the [https://osf.io/hfxmy master’s thesis assessment criteria]. * Select and acquaint yourself with a citation management system. * Examine theses related to topics of interest. * Read: The [https://authorservices.wiley.com/Reviewers/journal-reviewers/how-to-perform-a-peer-review/step-by-step-guide-to-reviewing-a-manuscript.html Wiley peer review guide] (optionally, watch the video). * Read: [https://authorservices.wiley.com/Reviewers/journal-reviewers/how-to-perform-a-peer-review/step-by-step-guide-to-reviewing-a-manuscript.html How to write a rebuttal] from Nature Methagora blog. * Fill out [https://docs.google.com/forms/d/e/1FAIpQLSex3PQ_SD845L81YoamLJwlo1exy0GUFXDi0DgCgYiX5vCffg/viewform?usp=sf_link this form] ==== Class II: Lit review (Feb 7) ==== '''''Preparation''''' * Read: Verkhodanova, V. (2021). ''More than words: Recognizing speech of people with Parkinson's disease'' (Doctoral dissertation, University of Groningen). [https://pure.rug.nl/ws/portalfiles/portal/183425061/Chapter_3.pdf Chapter 3] -- no need to read cover-to-cover, just note structure of replicable lit review. See Fig 3.1 and Table 3.1 * Familiarize yourself with the Open Science Foundation: ** Check out [https://www.youtube.com/watch?v=X07mBq2tnMg this video] about the OSF tool ** Make an account at OSF.io and fork [https://osf.io/23pnj/ this repository] ** Review the research proposal [https://www.overleaf.com/read/jgmdgxvsbcfq LaTeX template] === Week 2: Hypotheses and methodologies to answer your RQs === ==== Class I: Hypotheses (Feb 12) ==== '''''Preparation:''''' * Keep working on your RQ and hypothesis. Read widely. Take notes. * Familiarize yourself with Feedback Fruits. See [https://help.feedbackfruits.com/en/articles/2942398-peer-review-student-perspective this FBF resource] for all peer review assignments. * Watch the first 30 minutes of [https://www.youtube.com/watch?v=8QK2-udwoK8 this video] about pre-registration in OSF (start at the beginning) ==== Class II: Methodologies (Feb 14) ==== '''Preparation:''' * Reflect on the methods you have seen in your readings. To what extent are they transparent and replicable? === Week 3: Analyses === ==== Class I: Experiment design (Feb 19) -- DUTCH SPEECH TECH DAY ==== '''''Preparation'':''' * Reflect on the articles you've read. What makes for a good experiment design? How can we recruit participants? ==== Class II: Experiment analyses (Feb 21) ==== '''''Preparation:''''' * Reflect on the different ways results are analyzed in the articles you read. Qualitative, quantitative, and more... === Week 4: Risk mitigation + ethics === ==== Class I: Ethical considerations (Feb 26) ==== '''''Preparation:''''' * Reflect on how ethics fits into your research. All research proposals (and theses) require a section on ethics. ==== Class II: Risk mitigation (Feb 28) ==== '''''Preparation:''''' * Reflect on the risks that are inherent in your research. Enumerate them as best you can. === Week 5: Conducting a pilot experiment === ==== Class I: Pilot experiment / feasibility study (Mar 4) ==== '''''Preparation:''''' * Reflect on how a pilot experiment or feasibility study could be conducted to e.g. validate questionnaire suitability, demonstrate basic assumptions, or similar. ==== Class II: Experiment (Mar 6) ==== '''''Preparation:''''' * Keep working on your thesis proposal. * On this day we will perform a fun in-class experiment. === Week 6: Analyzing outcomes -- From research project to thesis [or: Writing week?] === ==== Class I: Outcome analysis (Mar 11) ==== * tbd ==== Class II: Prototypes (Mar 13) ==== * tbd === Week 7: Communicating outcomes + dissemination === ==== Class I: Communication of outputs (Mar 18) ==== '''''Preparation:''''' * Reflect on how you would describe your research proposal to someone from another field. * Start search for academic posters: find good and bad examples. ==== Class II: Posters, elevator pitches, and more (Mar 20) ==== '''''Preparation:''''' * Practice a brief description of your research. === Week 8: === ==== Class I: (Mar 25) ==== * Interactive session with Daan van Esch (Google) et al. ==== Class II: (Mar 27) ==== * Combo class with ASR2
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