Difference between revisions of "Events/HackCovid/2020-03-28"
| Line 14: | Line 14: | ||
– | – | ||
| − | Program Introduction by [[Paul-Olivier Dehaye]] | + | == Program == |
| − | Short TALKS | + | |
| − | Group formation | + | '''Introduction''' by [[Paul-Olivier Dehaye]]<br> |
| + | Short TALKS<br> | ||
| + | Group formation<br> | ||
– | – | ||
'''Group 1: informed consent''' | '''Group 1: informed consent''' | ||
| − | data protection | + | data protection<br> |
| − | privacy | + | privacy<br> |
| − | impact assessment | + | impact assessment<br> |
| − | data subjects rights to ensure | + | data subjects rights to ensure<br> |
| − | clarify analysis that will be conducted with personal data | + | clarify analysis that will be conducted with personal data<br> |
| − | risks minimization | + | risks minimization<br> |
| − | balancing tests | + | balancing tests<br> |
'''Group 2: data collection''' | '''Group 2: data collection''' | ||
| − | what data to collect | + | what data to collect<br> |
| − | how much to collect | + | how much to collect<br> |
| − | what is useful in respect to questions we want to answer | + | what is useful in respect to questions we want to answer<br> |
| − | from which sources, databases | + | from which sources, databases<br> |
| − | data storage | + | data storage<br> |
| − | data protection | + | data protection<br> |
| − | tools, scripts for automatic collection | + | tools, scripts for automatic collection<br> |
| − | see: Crowdsourced data collection: what to get? | + | see: Crowdsourced data collection: what to get? <br> |
'''Group 3: data anthropology''' | '''Group 3: data anthropology''' | ||
| − | state of the art: epidemiology, social sciences, data science | + | state of the art: epidemiology, social sciences, data science<br> |
| − | how are communities, and social networks built | + | how are communities, and social networks built<br> |
| − | qualitative study. Survey users about routines in house, mobility, shopping, social contacts, children and family care | + | qualitative study. Survey users about routines in house, mobility, shopping, social contacts, children and family care<br> |
| − | build personas | + | build personas<br> |
| − | research agenda | + | research agenda<br> |
| − | relation with public health | + | relation with public health<br> |
| − | relation with crowdsourcing | + | relation with crowdsourcing<br> |
'''Group 4: tech savvy''' | '''Group 4: tech savvy''' | ||
| Line 53: | Line 55: | ||
'''Group 6: data Viz''' | '''Group 6: data Viz''' | ||
| − | |||
| − | |||
==Resources== | ==Resources== | ||
[https://mydataglobal.slack.com/ mydataglobal.slack.com/] #coronadata #coronavalues #coronaneeds #coronainfo | [https://mydataglobal.slack.com/ mydataglobal.slack.com/] #coronadata #coronavalues #coronaneeds #coronainfo | ||
Revision as of 12:00, 27 March 2020
HackCovid-Leman date: 28 March 2020
Hack code of conduit
Our hackathon is dedicated to providing a safe and comfortable environment and harassment-free experience for everyone. We do not tolerate harassment of hackathon participants in any form. Hackathon participants violating these rules may be sanctioned or expelled from the hackathon at the discretion of the hackathon organisers.
Introduction
Work Plan
Program details for this Saturday hackathon, everybody can contribute by editing the document or leaving comments.
We expect to collect in particular: topics of interest to create groups of work, group leaders, specific objectives in relation to the general statement, outputs you wish to achieve by the end of the event, collaborative tools.
–
Program
Introduction by Paul-Olivier Dehaye
Short TALKS
Group formation
–
Group 1: informed consent
data protection
privacy
impact assessment
data subjects rights to ensure
clarify analysis that will be conducted with personal data
risks minimization
balancing tests
Group 2: data collection
what data to collect
how much to collect
what is useful in respect to questions we want to answer
from which sources, databases
data storage
data protection
tools, scripts for automatic collection
see: Crowdsourced data collection: what to get?
Group 3: data anthropology
state of the art: epidemiology, social sciences, data science
how are communities, and social networks built
qualitative study. Survey users about routines in house, mobility, shopping, social contacts, children and family care
build personas
research agenda
relation with public health
relation with crowdsourcing
Group 4: tech savvy apps
Group 5: ethics
Group 6: data Viz
Resources
mydataglobal.slack.com/ #coronadata #coronavalues #coronaneeds #coronainfo