Planning
| Time |
Event |
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|
08:00 - 09:00
|
Registration & coffee - Get registered at the reception desk |
|
|
09:00 - 09:45
|
Welcome & introductions |
|
|
09:45 - 10:15
|
General introduction to LFR & the course |
|
|
10:15 - 10:30
|
Break |
|
|
10:30 - 11:30
|
Round table: Overview of Equipment - Cristia, Bergelson, Casillas
hardware in mee.dev and beyond; audio, video, and additional modalities; hardware-dependent clothing choices; logistics in view of equipment |
|
|
11:30 - 12:00
|
Afternoon task breakdown - carrying out a 12+ hour sample recording using oneself as participant
- Hands-on practice recording
- Adaptation to individuals
- Ethics & law only in preparation for the task |
|
|
14:00 - 16:00
|
Office hours (with appointment) - Meet up with lecturers (Cristia, Bergelson, Casillas)
topics:
- Evaluating your own hardware needs
- Creating materials to inform families
- Simulated logistics management |
|
| Time |
Event |
|
|
09:00 - 09:10
|
Welcome & feedback on previous day's task |
|
|
09:10 - 10:15
|
Round table: Overview of legal & ethical issues - Cychosz, Soderstrom
Overview of legal & ethical issues specific to or exacerbated by LFRs, including informed consent, personal data protection, automated processing |
|
|
10:15 - 10:30
|
Break |
|
|
10:30 - 11:15
|
Data Collection, Organization, Storage, Transfer |
|
|
11:15 - 11:45
|
Presenting your DMP to others & ensuring compliance |
|
|
11:45 - 12:00
|
Afternoon task breakdown - Automatically analyze your self-recorded audio. Learn about the legislation that applies to the country/region where you'll be collecting your data from, and reflect about the special ethical considerations that may apply to you. Listen to samples of the recording you took yesterday, then share the samples (or a selection of them) with a peer. Compare and contrast legislation, ethical concerns, and anything else that might have come up as you listened to your own audio data. |
|
|
14:00 - 16:00
|
Office hours (with appointment) - Meet up with lecturers (Cychosz, Soderstrom), topics:
- Legal & ethical issues arising in your own project
- Organizing and storing data: best feasible practices for you
- Feedback on your own DMP |
|
| Time |
Event |
|
|
09:00 - 09:10
|
Welcome & feedback on previous day's task |
|
|
09:10 - 10:15
|
manual annotations and reliability - Cristia, Soderstrom, Cychosz |
|
|
10:15 - 10:30
|
Break |
|
|
10:30 - 11:30
|
Practice annotating data - Soderstrom |
|
|
11:30 - 12:00
|
Practice validating your manual annotations - - Run validation methods on your annotations against a gold standard
- Extract evaluation/correlation metrics between annotations (precision, recall, f-score, correlation metrics)
- Interpret implications of those metrics on the data, explore other/complementary evaluation methods.
|
|
|
14:00 - 16:00
|
Office hours (with appointment) - Meet up with lecturers (Cristia, Cychosz, Soderstrom), topics:
- Sampling, annotation scheme, & software for your own research goals
- Feedback on annotator instructions |
|
| Time |
Event |
|
|
09:00 - 09:30
|
Welcome, introductions of the new people joining the course, & feedback on last afternoon's task |
|
|
09:30 - 10:30
|
Round table: Automated Analyses - Cristia, Peurey, Bourree
Round table: Automated Analyses, including tools in mee.dev; Comparison with manual. |
|
|
10:30 - 10:45
|
Break |
|
|
10:45 - 12:00
|
Practice: Running Automated Analyses - - Setting up and running analyses using VTC and ALICE in your own computer
- Interpreting the results: how to read the metrics and outputs
- Identifying errors and adjustments in automated analyses
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