date: Saturday 28 March 2020
where: ONLINE from 10AM --> https://tinyurl.com/hackcovid Zoom:957 309 096
from: 10AM to 5PM HACKATHON
register: here if you haven't: https://www.eventbrite.com/e/hackcovid-leman-tickets-94729014031
whatsapp group https://tinyurl.com/hackcovid-whatsapp
Everybody can contribute by editing the document.
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.
- 1 Questionnaire COVID-19 lifestyles and contagion
- 2 Goals
- 3 Schedule
- 4 Working groups
- 5 Participants
- 6 Hack code of conduit
- 7 Documentation
- 8 Resources
Questionnaire COVID-19 lifestyles and contagion
Please take the time to answer this questionnaire it will help working on the results during the hackathon:
Our initiative is part of the more general framework of MyData: https://docs.google.com/document/d/1JONwa781NSuxyVANzTSxruR23z2_YPTEdcxsS3PNMpM/edit#
The characteristics of the virus and of COVID-19 could be confronted with the collection of personal data, to stop the spread and to enter into epidemiological modelling, in order to get out of the crisis as quickly as possible. This is feasible with an interdisciplinary approach. Epidemiologists, scientists, hacktivists, ethicists, elected officials, civil servants and citizens all have a role to play.
Although data collection may be seen as essential to understand the current problem and find solutions within a consistent technical, legal and ethical framework, we are compelled to prepare and obtain informed consent from individuals, which we believe is crucial to balancing the public health emergency and safeguarding fundamental rights and freedoms, in the short, medium and long term. We also have the challenge of social inclusion to create a model that is adapted to different contexts, lifestyles, and access to basic and technological resources where it will have to be evaluated what can actually be collected and shared, taking into account the profile of people who do not wish or cannot share data.
This event is intended to be a space for discussion, debate, sharing and development. You are free to propose ideas, provide constructive criticism and work both autonomously and in coordination.
- biological aspect: understanding the virus
- why tracing?
- sociological aspect: explain the context population, authorities, public health, why work on this? how to count those who do not have voices without data? seek data minimization, what is the social meaning of monitoring, on what scale? (Miles and Jessica)
- technical aspect: understanding transparency in existing solutions (Lennig) legality in relation to proportionality (PO) global vs. local context, how to prove that tracing is necessary?
- our initiative stemming from MyData (PO): governance, trusted intermediaries, informed consent, COVID-19 MyData Commons
3. Presentation of groups so everyone can make a choice where to participate.
- comments, questions, new ideas
4. Group formation in Zoom according to the number of group 1-6
5. Break (12.30pm-2pm)
6. Quick sync (2pm-2.30pm)
7. Second round of group work (2.30pm-4pm)
7. Conclusions (4pm-5pm)
8. Celebrations Apero
9. Post HackCovid. Follow up
You can access the form to submit challenges for that Swiss hackathon here: https://docs.google.com/forms/d/e/1FAIpQLSfLYrHhlUdhJ_PoECAeYZazTd_zGa3KqE3TrItOWZhLnEC02A/viewform
Group 1: Data protection .Proportionality?
Participants: Paul-Olivier Dehaye, Jean Rossiaud, John W ...
data subjects rights to ensure
clarify analysis that will be conducted with personal data
Group 2: Data collection- Prototyping
Participants: Iain Henderson, Gianfranco, ..
technical angle JNLC protocol https://protocol.jlinc.org
what data to collect
how much to collect
what is useful in respect to questions we want to answer
from which sources, databases
tools, scripts for automatic collection
see: Crowdsourced data collection: what to get?
Proposal for next Hackathon VersusVirus(www.versusvirus.ch) for group 2 Prepopulate the Common using Data Excellence Management Systems and AI with existing DEMS toolset. The goal is to have fast and widespread adoption of the JLINC
''Protocol for Data Sharing to build the Common with
- Data access
- Data harmonization
- Data Protection
Group 3: Data anthropology and ethics
13 participants:Michele, Jessica, Genferei, Alex, Winfried, Rémi, Judith D, Judith H, Isabelle, Christian, Maurizio Arseni, Jean-Henri Morin, Luca
Summary of the full day available here ---> Group 3
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
relation with public health
relation with crowdsourcing
what are the solutions for people without internet, devices, that do not want to track? what are the benefits of those type of persons for the whole community in terms of privacy, infrastructure costs...?
Group 4: app audit
Participants:Lenning, Paul Wang, Simon
Need the working document!!! apps
best solution by design
Group 5: data Viz
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.
To be able to record your efforts please document your work by clicking on every group title. You will find then a new page for you. Here are some main points you can keep in your page:
1.Presentation of the project
5.Difficulties encountered / limitations
6.Perspectives to go further with the project
MyData slack with a lot of resources to filter in the different channels mydataglobal.slack.com/ #coronadata #coronavalues #coronaneeds #coronainfo
Select Data and resource at the top (constantly supplemented) https://www.codevscovid19.org/
Data dictionaries for intake of COVID patients
- from Geneva Canton, a RedCap dictionary https://www.dropbox.com/s/nfos9rv7iwkyyaz/SuiviCOVID19_DataDictionary_2020-03-22.csv?dl=0 for the intake of COVID-positive patients
- from the UK: COVID self-assessment standards https://ckm.apperta.org/ckm/templates/1051.57.241) and other standards relating to COVID added [here]https://ckm.apperta.org/ck) (website is difficult, please add below what you have)
- from China in openEHR https://discourse.openehr.org/t/covid-19-diagnosis-and-treatment-decision-support-openehr-templates-and-rules/516
- openEHR standards https://discourse.openehr.org/t/openehr-covid-19-project/448
Questions raised during the main presentation
The questions started a rich discussion during the main presentation of the hackathon, please find them in the link below to enrich your work.