# data[].attributes.headline
If two candidates, say for a PhD position were exactly equally competent, will you chose the female one? if yes, why?

# data[].attributes.subject
If two candidates, say for a PhD position were exactly equally competent, will you chose the female one? if yes, why?

# data[].attributes.headline
have you been a victim of sexism/discrimination at work? And if so, was there someone to talk to about it?

# data[].attributes.subject
have you been a victim of sexism/discrimination at work? And if so, was there someone to talk to about it?

# data[].attributes.headline
What can we do as men and women to stop the gender biased harassment in the scientific environment?

# data[].attributes.subject
What can we do as men and women to stop the gender biased harassment in the scientific environment?

# data[].attributes.headline
I was quite suprised and felt bad how heavy would it have been for women to keep those thoughts and trauma until they become steady in their field.

# data[].attributes.subject
I was quite suprised and felt bad how heavy would it have been for women to keep those thoughts and trauma until they become steady in their field.

# data[].attributes.headline
Do you feel kind of "reduced" fto being a mother rather than being a scientist?

# data[].attributes.subject
Do you feel kind of "reduced" fto being a mother rather than being a scientist?

# data[].attributes.headline
i am very happy to know that so many people/scientists are trying to improve gender equality in science field.

# data[].attributes.subject
i am very happy to know that so many people/scientists are trying to improve gender equality in science field.

# data[].attributes.headline
A person full of passion to contribute towards science

# data[].attributes.subject
A person full of passion to contribute towards science

# data[].attributes.headline
why are there no women of color on your panel?

# data[].attributes.subject
why are there no women of color on your panel?

# data[].attributes.headline
what is the boundary between a naive joke and a gender-related inappropriate one?

# data[].attributes.subject
what is the boundary between a naive joke and a gender-related inappropriate one?

# data[].attributes.headline
Are you able to differentiate between intrinsic bias vs conscious bias? 

# data[].attributes.subject
Are you able to differentiate between intrinsic bias vs conscious bias? 

# data[].attributes.headline
The "problem" still exists but have  things improved (or worsened) over the years in your experience?

# data[].attributes.subject
The "problem" still exists but have  things improved (or worsened) over the years in your experience?

# data[].attributes.body
If yes (or no), in what sense?

# data[].attributes.headline
How do you see structural change happening in your university for women in general and for women of color in particular. 

# data[].attributes.subject
How do you see structural change happening in your university for women in general and for women of color in particular. 

# data[].attributes.headline
Would you have managed to make more progress in your scientific career if you had not decided to have kids?

# data[].attributes.subject
Would you have managed to make more progress in your scientific career if you had not decided to have kids?

# data[].attributes.body
In what sense did child-care "hamper/hinder" your professionalg growth?

# data[].attributes.headline
Loving science. Hard working. Enduring much just to be able to continue doing what they love.

# data[].attributes.subject
Loving science. Hard working. Enduring much just to be able to continue doing what they love.

# data[].attributes.headline
Were there forms of discriminations especially associated with having/caring for children?

# data[].attributes.subject
Were there forms of discriminations especially associated with having/caring for children?

# data[].attributes.headline
Did you ever felt that your scientific proposal/idea was rejected or not given the attention it deserved only or primarily  because of your gender?

# data[].attributes.subject
Did you ever felt that your scientific proposal/idea was rejected or not given the attention it deserved only or primarily  because of your gender?

# data[].attributes.headline
That men (or at least some of them) don't seem to see what's going on or that they think that a woman doesn't have a problem with being bullied just because she doesn't speak up in that exact moment (which is very hard)

# data[].attributes.subject
That men (or at least some of them) don't seem to see what's going on or that they think that a woman doesn't have a problem with being bullied just because she doesn't speak up in that exact moment (which is very hard)

# data[].attributes.headline
What difficult was road to get to their current positions?

# data[].attributes.subject
What difficult was road to get to their current positions?

# data[].attributes.body
What kind of discrimination they find to achieve your objective?

# data[].attributes.headline
That the data on the bias is all there  (but women/I still have to explain&are not believed that there is a lot of extra work. "But Marie Curie could do it. What are you complaining about.." Many people need to watch this film!

# data[].attributes.subject
That the data on the bias is all there  (but women/I still have to explain&are not believed that there is a lot of extra work. "But Marie Curie could do it. What are you complaining about.." Many people need to watch this film!

# data[].attributes.headline
that I could not pass the implicit bias test, and my reaction time was longer than I would have thought.

# data[].attributes.subject
that I could not pass the implicit bias test, and my reaction time was longer than I would have thought.

# data[].attributes.headline
For some reasons, as we are watching this movie, there is a woman being harassed by a well known Professor or CEO. A Professor or CEO who will not get fired because apparantly there is nobody that can do the same job better. So the administration find beautiful words to explain the lengthy process to get people exhausted and forget about the suffering women...

# data[].attributes.subject
For some reasons, as we are watching this movie, there is a woman being harassed by a well known Professor or CEO. A Professor or CEO who will not get fired because apparantly there is nobody that can do the same job better. So the administration find beautiful words to explain the lengthy process to get people exhausted and forget about the suffering women...

# data[].attributes.headline
Nowdays women in science are more visible but there is still much to do, and to achieve the same condition than men in science. There are a lot aspects that still must change

# data[].attributes.subject
Nowdays women in science are more visible but there is still much to do, and to achieve the same condition than men in science. There are a lot aspects that still must change

# data[].attributes.headline
strong, decided and empowering about your feelings, knowledge and life project

# data[].attributes.subject
strong, decided and empowering about your feelings, knowledge and life project

# data[].attributes.headline
There is enough data to prove the many inequalities between humans, and there is still no structural and systematic change implemented on all 4 corners of the world.

# data[].attributes.subject
There is enough data to prove the many inequalities between humans, and there is still no structural and systematic change implemented on all 4 corners of the world.

# data[].attributes.headline
successful != good moral value. Someone can be great in their field but can also be a bad person.

# data[].attributes.subject
successful != good moral value. Someone can be great in their field but can also be a bad person.

# data[].attributes.headline
That even extreme forms of harassment are not really punished

# data[].attributes.subject
That even extreme forms of harassment are not really punished

# data[].attributes.headline
that women kept quiet about what happened to them.

# data[].attributes.subject
that women kept quiet about what happened to them.

# data[].attributes.headline
it surprised me how much of what the women explained happened with them has also happened with me in some form or the other. It is extremely sad but also empowering to hear and see these women

# data[].attributes.subject
it surprised me how much of what the women explained happened with them has also happened with me in some form or the other. It is extremely sad but also empowering to hear and see these women

# data[].attributes.body
strong resilient women

# data[].attributes.headline
They can very well be a flawed and biased human beings. They can be the oppressor or one who keeps silent about it. Not very 'rational' or 'logical' as they might see themselves

# data[].attributes.subject
They can very well be a flawed and biased human beings. They can be the oppressor or one who keeps silent about it. Not very 'rational' or 'logical' as they might see themselves

# data[].attributes.headline
not necessarily someone who treats others with respect

# data[].attributes.subject
not necessarily someone who treats others with respect

# data[].attributes.headline
an ambitious person fighting  social pressures and answering scientific questions

# data[].attributes.subject
an ambitious person fighting  social pressures and answering scientific questions

# data[].attributes.headline
Curious, determined and analytical person, to some extend a generalist

# data[].attributes.subject
Curious, determined and analytical person, to some extend a generalist

# data[].attributes.headline
Logical thinker, quite often considered mad by others

# data[].attributes.subject
Logical thinker, quite often considered mad by others

# data[].attributes.headline
A kind of nerdy person that is curious and analytical.

# data[].attributes.subject
A kind of nerdy person that is curious and analytical.

# data[].attributes.headline
Group of young people (male and female) in a long white coat looking through a microscope

# data[].attributes.subject
Group of young people (male and female) in a long white coat looking through a microscope

# data[].attributes.headline
Hair full of smoke from an explosion in the lab, either wearing a lab coat or the same old fashioned pullover every day

# data[].attributes.subject
Hair full of smoke from an explosion in the lab, either wearing a lab coat or the same old fashioned pullover every day

# data[].attributes.headline
Like Merlin in "The sword in the stone", visionary and dreamy 

# data[].attributes.subject
Like Merlin in "The sword in the stone", visionary and dreamy 