« Ethique et l'intégrité collecte données » : différence entre les versions
(→26'55) |
|||
Ligne 154 : | Ligne 154 : | ||
== 26'55 - transcrit Juu == | == 26'55 - transcrit Juu == | ||
'''Evaluating data integrity''' | '''Evaluating data integrity''' | ||
So, there is a study that I found where they found many ways in which you can actually evaluate data integrity. | So, there is a study that I found where they found many ways in which you can actually evaluate data integrity. | ||
Ligne 163 : | Ligne 164 : | ||
So that's sort like trust accross social networks, and what I call co-calibration where you can take yourself and calibrate yourself in someone else, or take a piece of hardware and calibrate a against a non-truth, maybe a reference hardware. So, that's another way for evaluating data integrity. | So that's sort like trust accross social networks, and what I call co-calibration where you can take yourself and calibrate yourself in someone else, or take a piece of hardware and calibrate a against a non-truth, maybe a reference hardware. So, that's another way for evaluating data integrity. | ||
The bottom line is that there are mchanisms out there for making our lives run in a community fashion, without involving law. What are some of those mechanisms that can be taken together or combined into something that can be used to evaluate and monitor open science projects. And this is the thing that I found more interesting right now and sort of my | The bottom line is that there are mchanisms out there for making our lives run in a community fashion, without involving law. What are some of those mechanisms that can be taken together or combined into something that can be used to evaluate and monitor open science projects. And this is the thing that I actually found more interesting right now and sort of my post-license world of work. | ||
== 29'37 == | == 29'37 == |
Version du 25 octobre 2015 à 12:41
Titre :
Intervenant : Puneet Kishor
Lieu : RMLL2015 - Beauvais
Date : Juillet 2015
Durée :
Lien vers la la vidéo
Transcription
00' J'essaye, MO
Rencontres Mondiales du Logiciel Libre. Beauvais 2015
Présentateur: Eh bien, nous allons commencer la conférence suivante et Corinne tu es avec nous, tout va bien. Je donne la parole. Ah, votre microphone est ici. Your microphon is there. I shall not translate.
Puneet Kishor : Was ?
Présentateur: I shall not translate, because...
Puneet Kishor : OK.
Présentateur: Ca va pour l’anglais tout le monde ?
Puneet Kishor : I am going to talk in English. I will give you a chance to practice your English with me. My frech
to be doing that any way. This is going to be a very different presentation, I think, from most of the presentations to be I hearing. Most of them has been about software. This is about mater ????, not bigger, I don't mean ??? about an integrity and what became to should
So hopekly you will find interest in the I will reactions to that. It's very good that the conservation correctly about lesson . It'ss all right. I can got that, you now, my French is not good and my Spanish is not good and I don't
I had to leave to work for an organisation cll Creative Commons. How many people have heard of Creative Commons ?
I am surprise that you ??? not heart of Creative Commons. Creative Commons is the organization that makes copyright licenses, when one of witch is actully use Wikupedia for evethinh that is published on wikipedia. S
cald or Creative Commons copiright licenses, I work
for three years and ythe manager
So my
05'
09'53
If i am going to fast, let me know […]
But what about … Citizen Science?
13'36 - transcrit 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 - transcrit Juu
How do we approve non-conventional projects? So, the thing that I want to ask about is, and actually I'm going to ask you a lot of question, I'll not provide any answers. The thing that I'm realy asking about is: how do we approve non-conventional projects?
If you decide to do a study on yourself, maybe you are taking samples out of your body, and measuring them or something. Is that ethical ? Is it ethical to arm yourself? And the society says no. It is illegal to commit suicide. In many societies at least, in many societies. So the issue really becomes how do we evaluate and monitor projects that lie outside things that are governed by law?
Citizen science, sensors, self-measurement, participant led research, that's one of the big things that are very popular. As I mentioned people have certain diseases and they make a website where people of same disease can came together and share their experiences. You know, irritable bowels, crohn disease, different kinds of cancers, a lot of people also want to form a community, right ? And they are sometimes giving each other advice and they are doing it outside of medicine and health laws and institutions.
So what is the substitute for IRBs in this question, that's something that I'm thinking about.
19'04 - transcrit Juu
What about ongoing monitoring? And what about ongoing monitoring? Even if you approve such a project, even there is, even if you set up a system where you can approve some kind of projects that's going on, how do you monitor it on an ongoing basis? Where people are doing things they may be collecting dat on others, what if I'm collecting data on you and misreport it. I write something bad about you or I tell something good about myself that doesn't exist. You know, what if I recruit all of you to measure water samples from your village wells, and you find out it's not very good, and you decide not to report it, right? So these are the issues. Or if you find that somebody else's well's not very good, and that person hasn't reported. Should you tell on that person, that person hasn't reported, you know, cause that is the isue of privacy that come's in. So invading privacy of others, if there's a citizen science project let's say I recruited all of you because I'm studying nesting habits of certain kinds of birds; And you all are bird lovers and I've recruited all of you, and you are supposed to go to the nests of the birds and take photographs and bring them back to me. Turns out that you're also a collector of eggs, and you steal the eggs, right? That's the issue so arming existing data or arming natural environment or culture property, these are the issues when there is no mechanism for ongoing monitoring that might exist in a more conventional academy.
20'49 transcrit par Cpm
Legales tools are… So the reality is that legal tools are existed such as copyrigth law and that's drugs??? are inadequate, if they don't exist, and if they exist, they are inadequate, they are inappropriate, they are expensive, nobody likes lawyers, lawyers are expensive and they are confusing, and they really scare as. How do you mean know, how many of you have ever been in a corp? No one. And a lot of people will never go to a corp in their normal lives. I mean a normal life, does it involve lawyers? And does it involve court and yet a life is rule by laws. Right? So, it is an interestring thing that we have all these laws and yet laws don't really, you know, come in to play on our life a daily basis.
21'41 transcrit par Cpm
Slide 14/10 Do no evil
So, one solution could be do no evil. You are inbound??? with that, right? Do you know do evil? That hasn't gone down very well. That is a big company that has this, think all do no evil. And they have done even evil up there. So, maybe, the thing of I, I thinking quite a bit is about just mutual respect and social contract. So how many of you ear the term social contrat? "Contrat social", here we go, french, yeah, Rousseau, yeah. So this is notion that we give up something to get something. Right? We, individual ??? become member of a society or a country, we give up some ??? return for the safety and other things that society provide. That's the social contrat, right? All be a citizen of France and France will look after me, we can other thing. Is somebody laugh. Public : yes because maybe too much. Yeah. But anyway, that's the notion of social contract. This notion that there is something that bind of to be grouped together. So here different names for good behaviour you know, a lot of conference our nowdays having things call of contact.
public : ... in europe
yeah, doctor little hippocratic oath, blabla etc. We have something call honor code on university. Do you if you have that on yours.
Mutual respect. So, one say that there are not based in law.
interesting but they ??????????????????
23'03
Good behaviour by another name
24'16 - transcrit Juu
Importance of data integrity
One issue that becomes very important that I'm really interested in is the notion of data integrity.
This thing is telling me that I walked five thousand one hundred and five steps today. What if it's over-reporting? What if it's under-reporting? I don't know. Should I just believe it? We go to live believing a lot of things, not questionning them, right? Until we get some other evidence to the contrary.
There is a lot of focus in this conference and in my life, i work at creative cons as I said, on open license, right? First of all I guarantee you ninety percent of the people don't know what an open license means when they say "open license". Ok, fair enough. Like people don't know what organic means, but they shop organic food, right? Open is good, but is not a substitute for good science, 'cause in the end science is asking some questions, and that is more important than anything. What would you rather? Open but crapy sceince, closed but good science? If you're a scientist you would probably choose good science, because a scientist is motivated by answering questions. By finding insights of something. So the question, and this is particularly useful not so much in software, but in hardware. Open hardware. What if the design is open but the data coming out of the hardware are bad? So let's say I make a hardware, I made some fantastic sensor, you know like the star wars tricorder it can measure everything, and I publish it under an open license, right? And you come in, you see that, you like it, you take it down, you're a great guy, we are not very honest. You take my open design and you make some changes to it, or you maybe cut some corner and make something which has license opened but now is not producing right data. And what if this thing was measuring something that was important for environmental health or public health, maybe reporting on air quality, maybe reporting water quality? that could e serious consequences for public health.
So the issue of data integrity is very important which has nothing to do with licensing, but it's very important for open science and the quality of science.
26'55 - transcrit Juu
Evaluating data integrity
So, there is a study that I found where they found many ways in which you can actually evaluate data integrity.
By the way, all my ?? talk is on my website and, no software's required, just a browser, just click you know, it's a program I wrote and so it's available to anyone. So you can see all the links are there.
So you can measure different... Think of these like vectors along which you can measure data integrity. Is the data accessible, believable, complete, consistent, relevant, secure, etc. There is many different things you can measure, you can add more to this or subtract from this. They are dimensions that you can measure.
Building can do as look a reputation, or think of it like social capital. This is very common on web communities, right? How many likes for example, or how many retweets, this is one example of some kind of trust and something. We have reputation scores in communities that are software, particularly software communities well you know, there is someone who's answered a lot of questions. Has people used Stackoverflow? Stackoverflow has the reputation, all has this reputation system basically, and as your reputation grows more you can do more things, etc. So that's sort like trust accross social networks, and what I call co-calibration where you can take yourself and calibrate yourself in someone else, or take a piece of hardware and calibrate a against a non-truth, maybe a reference hardware. So, that's another way for evaluating data integrity.
The bottom line is that there are mchanisms out there for making our lives run in a community fashion, without involving law. What are some of those mechanisms that can be taken together or combined into something that can be used to evaluate and monitor open science projects. And this is the thing that I actually found more interesting right now and sort of my post-license world of work.
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.