Ethique et l'intégrité collecte données

Titre :

Intervenant : Puneet Kishor

Lieu : RMLL2015 - Beauvais

Date : Juillet 2015

Durée :

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00' J'essaye, MO

Rencontres Mondiales du Logiciel libre. Beauvais 2015

Eh bien, nous allons commencer la conférence suivante et Corinne tu es avec nous, tout va bien.Je donne la parole, Microphon i strger. I shall not translate

Ca va pour l'angalis

i am going

to practice your english with

doing tht anyway.

This is to be a very

from most of the presentations

had been about sofware. Yhis is about

reactions to that. It's very good the consersation correctly lesson . is all right. I can got that, you now, my ìfrech is not good and my spanisch

I had to to work for an organisation

of Creative Commons ?

I m surprise not heart of Creative Commons. Crestive commons is the organization that makes copyroight licencses, use by Wikupedia for evethinh that

09'53

If i am going to fast, let me know […]

But what about … Citizen Science?

13'36 - en cours Juu

Three kinds of open projects.

How do we approve, evaluate and monitor some citizen science projects, that's the theme of my presentation.

There are three kinds of projects according to a paper that I found.

Projects where citizens contribute some information, projects where they actually not only contribute some information, but they also help collaborate and help design and even analyze some information. Galaxies dot dot (??) you actually see some information and you tell it's a star or a nebula or... You know, you actually do something, you think about something and you make a judgement call.

And then the various sort of the top end of the citizen's is where scientists and citizens get together and try and figure out what to study.

There is actually another fourth kind of citizen's sceince project that's happening a lot: self-organized. How many here have heard that quantified-self? Can you tell me what's quantified-self? Well, kind of. For example my phone has a motion sensor. Every time I walk it counts the number of steps I walked. And it basically allows me to keep track of how many steps I walked and if I go here and click on a button, it'll tell me that today I walked five thousand steps. Five thousands one hundred and five, which actually is not a lot, I should be walking twice as much more. It also tells me that I've climbed two floors, so i haven't done much climbing today. But quantified-self is, I mean it could be anything, it could be how much you walk, your blood pressure on a daily basis, it could be measuring your heartbeat on a daily-basis, and there are people, there is a very weird place in this world, I don't know if you've heard of it, it's called San Francisco, where people are obsessed with this kind of stuff, and there are constantly measuring everything about themselves. They've got like you know ?? everywhere and they are just measuring everything, which is why I run away from there and I came to Paris, where nobody seems obsessed by it at all. But, that's quantified-self.

But peaople are taking this quantificationfurther into analysis, and people are grouping these data together and they're trying to figure out what's wrong with them, trying to cure deseases, people who have certain kinds of deseases are building websites where they can collaborate and talk to each other and say "hey, you know, this is happening to me, is it happening to you also? I get headaches when I drink red wine, do you get headaches when you drink red wine also?". Things like that they are doing, right? These are sort of self-organizedscientific projects that are happening.

So then these projects are happening outside conventional academies, they are not happening at the universities , they are not happening at Université Marie Curie , they are not happening at Stanford University, just happening at, just people, meeting together and doing these things, right? Who monitors these projects?

17'16

How do we approve non-conventional projects?

19'04

What about ongoing monitoring?

20'49 en cours par Cpm

Legales tools are…

21'41

Do no evil

23'03

Good behaviour by another name

24'16

Importance of data integrity

26'55

Evaluating data integrity

29'37

That's the all talk I have. I think I have a lot of time yet I really want people...

35'35

Public : For me, thank you for the talk...

37'45

Come on...

40'30

Public : j'essaie en anglais ou ...

43'49

Ask me anything.

45'21

Maybe in my culture...

46'23

... I have to working a lot...

47'00

Thank you all.