> Very long baseline interferometry (VLBI) is a technique for imaging celestial radio emissions by simultaneously observing a source from telescopes distributed across Earth. The challenges in reconstructing images from fine angular resolution VLBI data are immense. The data is extremely sparse and noisy, thus requiring statistical image models such as those designed in the computer vision community. In this paper we present a novel Bayesian approach for VLBI image reconstruction. While other methods often require careful tuning and parameter selection for different types of data, our method (CHIRP) produces good results under different settings such as low SNR or extended emission. The success of our method is demonstrated on realistic synthetic experiments as well as publicly available real data. We present this problem in a way that is accessible to members of the community, and provide a dataset website (vlbiimaging.csail.mit.edu) that facilitates controlled comparisons across algorithms.
What strikes me as really amazing is the cross functional nature of these modern achievements. I did not realize that this image was created with statistical image models and a Bayesian approach.
Also, this link included -> http://vlbiimaging.csail.mit.edu/ introduces the field and offers a good explanation for those interested in learning more:
> Imaging distant celestial sources with high resolving power requires telescopes with prohibitively large diameters due to the inverse relationship between angular resolution and telescope diameter. However, by simultaneously collecting data from an array of telescopes located around the Earth, it is possible to emulate samples from a single telescope with a diameter equal to the maximum distance between telescopes in the array. Using multiple telescopes in this manner is referred to as very long baseline interferometry (VLBI).
Not trained in this field, but this reads like a certain mistype. Shouldn't resolution increase with telescope diameter?
It took me several rereads and reading the comments here to understand that we want low numbers for angular resolution.
I suppose it's fairly obvious for one well-versed in optics, but to the layman (like me) it's initially opaque.
Reconstructing Video from Interferometric Measurements of Time-Varying Sources
So maybe we will also see a video of a black hole, soon.
"Then they spent the two years parsing literal truckloads of data, some of which had to be shipped on hard drives from the South Pole and defrosted outside a supercomputer facility at MIT."
I'd love to read more about this if anyone has an article with more details.
Found it through this pdf: https://fskbhe1.puk.ac.za/people/mboett/Texas2017/Doeleman.p...
Do you understand Katie's explanation?
They have a sparse set of data that is part of an image. They have trained a model to look at the sparse set and make an educated guess about what the full image looks like. They do this by feeding it full images.
The full images you feed into the model thus have an effect on the final image generated. In order to see how large that effect is, they trained different versions of the model with different sets of complete images. Some were images of what we thought a black hole looked like. There is potential that this heavily influences the model and ensures that the output looks like what we expect it to, even if that isnt actually true.
They also trained the model with non-blackhole images. Since the output of the model was approximately the same, this indicates that the resulting output picture doesnt look like what we think a black hole looks like just because it was trained with black hole images. It likely really looks like that.
The model doesn't need to be told what a black hole looks like. The sparse measurements combined with knowledge of how sparse data can be combined to form a generic image is enough. The model learned that the sparse data is not likely pure noise, instead there are shapes and lines and gradients that relate the sparse data points to each other.
Her analogy of sketch artists is good. If you have a functionally complete description and give it to 3 sketch artists from different cultures who are used to different looking people, they will still draw the same person. However if your description isnt actually detailed enough, their sketches will significantly differ as they use their existing knowledge and bias to fill in the gaps with what they think is likely.
>They also trained the model with non-blackhole images. Since the output of the model was approximately the same, this indicates that the resulting output picture doesnt look like what we think a black hole looks like just because it was trained with black hole images. It likely really looks like that.
If you are feeding non-blackhole images in and getting blackhole results out, wouldn't that be indicative of an over-trained model? Her other analogy was we can't rule out that there is an elephant at the center of the galaxy, but it sounds like if you feed a picture of an elephant in you'll get a picture of a blackhole out?
They also showed that when they fed in simulated sparse measurements based on real full images of generic things, they got back fuzzy versions of the real image.  So if you put in a sparsely captured elephant (if for instance there was one at the center of the galaxy) you'd get an image of the elephant out, not this black hole.
To complete the artist analogy, imagine that the suspect that is being drawn by each artist is some stereotypical American. The description given to the artists doesnt say that, it just describes how the person looks. One of the three sketch artists is American and the others are Chinese and Ethiopian.
If the American draws a stereotypical American, how can you be sure that the drawing is accurate and thats not just what he assumed the person would look like because everyone he has ever seen looks like that?
You look at what the other two draw. If they both draw the same stereotypical American, even though they have no knowledge of what a stereotypical American looks like, you can be pretty sure that they determined that based on the description provided to them. The actual data.
They did still likely utilize some of their knowledge about what humans in general look like though. This is analogous to how the model uses its training on what a generic image looks like. For instance, maybe several sparse pixels of the same value are likely to have pixels of that same value between them. The model puts things like this together and spits out a picture of what we think a black hole looks like even though its never seen a black hole before.
Did they try to feed random noise into their trained image builder?
I suspect that the output of that trained image builder is always the same "black hole", even with random noise as an input.
I think if you trained with random noise you would get random noise output.
So I assume they're simulating what an input would look like of, say, a planet or astroid or elephant or whatever, given that it was viewed through the relevant type of sensor system. Then when they feed in the black hole sensor data, they get pictures that look like the black holes we imagined. Even if we never told the model what a black hole looks like.
What does training mean?
I thought that the training means to adjust Neural Network until it learns to convert our input into expected output of "complete image".
But if thaining means to teach the model to produce expected "complete image", then how is it possible that "the output of the model was approximately the same" [for different training "complete image"s]?
The output images are approximately the same because the model is "looking" at training images at a lower level that we do. The talk says they chop the images up into small pieces. So the model never "sees" the full shapes that are in the full images. It only sees small local features. I guess it turns out that these smaller pieces are pretty generic in that they are common between images of black holes and everything else. The curve of an elephant trunk looks similar to the curve of an event horizon if you cut it out in a small enough piece.
Perhaps if they didnt do this step, then the model would be more sensitive to the images its trained on.
They don't make a habit of posting the shitty TEDx talks to the main channel, I'm guessing. (And there's plenty of those.) This is definitely high quality relative to most TEDx talks, so I understand why it was upgraded.
If Katie was a man do you think people would be going through git histories and their published papers trying to determine if she is being over-credited for her achievements?
Edit: I just checked Twitter, apparently there are thousands of idiots who believe this "850,000/900,000 lines written by Andrew, therefore he wrote the algorithm" narrative. It's amazing how willing people are to eat up a low-hanging narrative as long as it confirms their world-view. All it takes is a very crude understanding of how software development works to see through this narrative.
> Andrew Chael wrote 850k out of the 900k lines of code. He was also the leader of the project. Michael D. Johnson wrote 12k lines of code. Chanchikwan wrote 5k lines of code. The woman? Only wrote 2.4k lines of code.
It's a little bit unbelievable that the author of this comment (/u/dragonballcell) nailed all of these fine-grained details (red herrings, perhaps?) and yet glossed over an incredibly important and superficial/trivial detail: that Andrew Chael did not "write 850k LOC", he generated hundreds of thousands of lines of data and committed them to the repo. Needless to say, I think this whole drama is incredibly pointless.
You might as well credit the Linux operating system to only a single man, whose effort is certainly largely responsible, but for who also does not in any way represent the whole of effort.
It's the ship of Theseus all over again.
That said, if Katie was a man, her story would not be as groundbreaking in a social context, and thus she would not be as celebrated.
Can you link the HN article with the "Mohawk NASA dude". Searching on "Mohawk NASA" gave me a 1 point article that didn't get a single upvote.
Searching on "Bobak Ferdowsi" gives zero articles on HN, and I could not find any article where even comments were celebrating the achievements of Bobak Ferdowsi, and obviously no 832 point upvoted ones.
No, I must conclude that there is no articled named "Bobak Ferdowsi, the scientist behind the Curiosity rover", and definitively not one that got just as much celebration as this one.
I have no idea why people are doing this to Dr. Bouman, if it's gender related or not. Just stating my experiences.
Just so I'm fair, my GitHub does suck.
Some companies addressed it directly and some let it happen. It also was not every co-worker at every job. Just a select few personality types mainly.
It's not that they don't deserve their fair share of credit, to be clear. It's that they do not deserve the level of overwhelming credit the media intentionally tries to bestow upon them, to create an idol that sells / generates clicks.
You pretty well see it in every thread regarding those two people. The hype train tries to give them credit, whether the media or fans, and other people get annoyed by it and call it out because it's obviously ridiculous to so overly credit such vast accomplishments requiring thousands of contributors to a given individual.
On the other hand, looking at git histories is basically how the social parts of engineering (e.g., money and power) at a place like Google works, at its fundamental level.
This has persisted for a very, very long time. I still remember when people would comment things like, "I worked with so-and-so unorthodox former Google employee, and he didn't commit code."
There are a lot of Googlers on HN. There are a lot of people who work at places that culturally align themselves with how that company runs.
It probably has something to do with why some women feel underpaid or unwelcome at these places.
It definitely has something to do with people commenting things like, "So is this the case of the product manager taking credit..." The tension between the product manager who "didn't do anything" and the engineer who "did all the work" and how the "org" sees that and measures "performance" are all swimming in the back of HN people's heads when they snipe some random academic.
Settling the score in a way so reductive is extremely appealing. But at least in duels, the other person gets to fire back.
In my experience, people don't start looking into these things without some other suspicion. In a work setting, that would be things like impressions of poor productivity, claimed output not matching perceptions of competency, etc. But those involve a ton of data points, based on direct interactions with the person. In this case, the article gives us the following demographic data points:
- 29 years old
- Computer Science doctorate from MIT
- Assistant professor of computing and mathematical sciences at the California Institute of Technology
Which of those data points suggests that her work output should be questioned?
I think people let their own personal biases destroy their impartiality. Replace her name with Musk, algorithm with science/engineering, and 'image of a black-hole' with reusable rocket. The article would (and does) read like something posted by a sycophantic fanboy. It wouldn't be doing him any favors, and certainly isn't doing her any favors. However, I also do not think this article is representative of her in any way, shape, or form.
For instance it tries to frame things in the most narcissistic way possible. They found one image posted where the developer stated, "Watching in disbelief as the first image I ever made of a black hole was in the process of being reconstructed." So she made that image. Not a team, not the project of a coordinate global effort, no - she made that image. Even the image framing itself is indicative. It's a tiny out of focus image of a laptop and a giant in focus image of her with an artificial pose. The article itself continues with a similar narrative in all the eye-catching spots such as the headline and image captions: "Katie Bouman designed an algorithm that made the image possible" "Katie Bouman: The woman behind the first black hole image", and so on.
But as mentioned, I doubt this is indicative of the developer herself. She's probably just being used by the media. She's attractive, young, and has the right genitalia = stories that'll get a million clicks and shares = $$$. When you actually read the very small number of quotes from her, they seem much more realistic and in stark contrast to the media sensationalism:
- "No one of us could've done it alone. It came together because of lots of different people from many different backgrounds."
- "We're a melting pot of astronomers, physicists, mathematicians and engineers, and that's what it took to achieve something once thought impossible".
Also if she was a man her story and contribution wouldn't be as sensationalized as has been done.
Well, I take part of that back. He did have some personal pieces about "he's the guy that's a bully of the project" (when he took a personal hiatus from the project)
So yes, that happens a lot.
>to the exclusion of the algorithm designer and the primary software author?
How can you possibly infer that from a git history?
I mean hard to imagine such a large project being taken up, for the benefit of public being able to see a picture of the black hole.
Would this kind of multi telescope effort be capable of producing surface images of extra solar planets for example?
And yes, this is one way of representing the data. I'm not sure exactly what your question is though, as actually getting this data is really important to confirm a variety of theories and also to potentially open up new avenues for investigation. And this cost orders of magnitude less than Hubble, whose purpose was also to generate photographs, seeing as how they simply connected together existing radio telescopes.
The point was to demonstrate that this technique is feasible. Now they can use it to image all sorts of other stuff and learn lots more.
So a photograph.
Is it wrong to say this is a logical improvement, extension of radio interferometry?
Or gather data that will help us study blackholes?
Because the press is largely focusing on the picture and not telling much else detail.
And is Boumans contributions to do with the making of this image?
As I understand it, the notability of the project is that it found a novel way to process data from coordinated data collectors scattered around the earth into a single coherent data set (with more resolution than any single collector could gather).
Katie's paper on VLBI reconstruction: https://arxiv.org/abs/1512.01413
This is how I learned about the topic and I think it's well suited for computery folks, since it was published in CVPR.
Similarly the title suggests she worked alone on the project. Which seems exceedingly unlikely given the need for telescope time and computing time and the wide range of disciplines I imagine the project covers ... did she work alone. That must be almost unique in experimentalism nowadays?
So I'm certain those authors did their part, so maybe yes, I should have linked this as "Bouman et al." but I wouldn't expect this to be six equal contributions either.
That all being said, she's certainly standing on the shoulders of a pyramid of giants there.
Edit: to the people downvoting the parent, maybe explain? I didn't take this as a bad faith comment. It can be genuinely confusing to someone who doesn't know the ins and outs of academic attribution...
It's interesting considering how many modern scientific endeavors are dependent on new innovative algorithms, software, and computing techniques in both experimental and theoretical work then its frequently just hand-waved away as "technology."
I'm not saying such contributions (typically, though they can,) lay groundwork for an experiment or theory in another domain, but I am saying active CS involvement/expertise is typically critical to many scientific endeavors' success these days. If a project is interdiscipinary, there's probably a computer scientist on the team helping out.
I think society implicitly assumes that there has been a tone of people backing up a single individual towards their main achievements and that the individual is humble enough to know and to try - ever so slightly - to show appreciation.
From my perspective, if in order to accomplish your work, you need consult or active collaboration with a computer scientist and otherwise could not develop/test your theory or conduct your experiment, then they almost certainly should be cited as an author/collaborator.
If you utilize something OTS outside the project that just works for you and don't need a computer scientist, then whatever entity created that OTS IP isn't really an author/collaborator, but it's likely their work should be cited/referenced if it's part of the critical methodology (as part of disclosure and repeatability).
If your project used Microsoft Word to write up a report, it's not important to the underlying science you conducted. You could have substituted it with TeX, other Word processors, or pen/paper and it wouldn't change the outcome of the underlying theory/experiment you developed. If you used an Ansys package to perform analysis for some purpose, you should probably mention that out of rigor but Ansys isn't an author or collaborator.
If on the other hand you need someone to architect a solution to handle processing your massive dataset, needed someone to write custom code because nothing could do what you needed, needed a new algorithm because you had no clue how to approach the problem, or even needed someone to modify source code significantly to something that existed but couldn't do what you needed, then they are certainly an author/collaborator. If you took existing code/algorithm and made it more efficient in order to accomplish a task that would have taken too long otherwise, you're a contributor/collaborator and should be listed as an author.
This has been a huge issue in academic research but it's been getting a bit better and researchers are starting even more to acknowledge/credit computing professionals as crucial contributors and authors, as they rightfully should be.
That's one of the reasons I said "I agree with the point you have raised".
I also think you have once again, raised some good points. Hopefully, others will use similar structures when writing and publishing their research.
Somehow though my facebook feed is already littered with images saying she was single-handedly responsible and no one's talking about her.
Huh, I wonder how accurate this is. All the code is beyond me in any case, I'm in no position to judge the relative value of any of it.
* achael 566 commits 850,275 ++ 131,044 --
* klbouman 90 commits 2,410 ++ 1,265 --
However, at least at the level of reading the commit messages, Katie's are pretty math heavy:
"fixed bug in the fake briggs weighting"
"starting to fix chirp problems with polrep"
"made it possible to do a min uv cut on closure phase when adding it a..."
While Andrew's lean frequently toward code maintenance:
"updated some docstrings in imager_utils"
"moved imgsum to plotting.summary_plots"
That said, Andrew and others seem to have pretty good insight too.
But what could possibly qualify you to say that "Andrew is definitely smart (smarter than an average HN user) and his code is very important"?
There are no woman scientists, science has no gender.
The article is sexiest not people who are curious what Dr. Bouman actually did to be honored to mention in BBC article.
This is a good article on the concept: https://everydayfeminism.com/2013/09/dont-see-race/
[Edit:] Or this, as a complementary one: https://www.mcsweeneys.net/articles/i-dont-see-race
Bad for you.
Thanks God I grew up in a society where every person no matter of gender and age can do hard science.
Do people like Linus deserve less credit now that he isn't the leader on the commit scoreboard ?
Writing code is easy, figuring out complex algorithms is something very different, and does not require coding knowledge
one commit with 524,306 additions. adding a model.
If I read it right, she mentioned and praised her team as well.
In particle physics, these practices evolved over decades, when specific individuals tried to claim credits for discoveries in an unfair way(Nobel dream by Gary Taubes gives a beautiful account of this). Many particle physics collaborations now have detailed constitution and guidelines on what images/graphs they can show to the public. Someone who first made the first Higgs mass plot which shows a 5 sigma evidence of Higgs observation could not have leaked that plot on social media.
However this narrative is inspiring and perhaps motivate many young woman to take up careers in science and promote a more welcoming atmosphere for women in STEM.
Jeez why the downvotes? It's a legitimate question I had.
For the people questioning if she’s receiving unfair attention because of her gender they view you comment as an attack on the establishment ala: “How dare they exclude her!? Is it just because she’s a woman?” And downvote you. For the people arguing that her media coverage is being unfairly criticized because she’s a woman they view your question as an attack on the assertion that she deserves the attention so they downvote you.
In either case I think it’s interesting to ask why the proclaimed “woman behind the image” wasn’t there for the unvailing of the image.
She’s not an astronomer?
I am a postdoctoral fellow with the Event Horizon Telescope and will be an Assistant Professor in the CMS department at Caltech beginning in 2019.
I just wish they had used a camera from this century
I didn't realize this was public code.
It looks like one "achael" is the author of this, though.
Never have men at large objected to such bias when women have cited theories and concepts discovered by men to publish papers and win medals in the field of mathematics. That is something naysayers should ponder over.
All the documentaries, autobiographies, and famous books that peered deep into the lives of those inspirational people always give proportionate credit to those contributors of success either by these people or the authentic researchers. Katie was no less enthusiastic when it was her turn.
But these news agencies play with people's emotions, desires,aspirations, etc. These news agencies are capitalistic and optimize over consumerism. These news agencies are shameless whores to betray the principles of intellectual honesty and journalistic ethics in dissemination of facts by kowtowing to the appeasement of the disgruntled - who happen to be majority of their viewers.
But? We, the layman, are hapless to (1) gain knowledge from immediate sources (2) draw immediate conclusions from these sources. We can't be blamed for not putting efforts to gain complete picture or check the veracity of middlemen called the media. We run forward the self fulling prophecy originating from media. The trust was put in reputed media and that is why the media should care for its reputation. That trust was put in the media because it was touted as fourth pillar of democracy who can't commit hypocrisy in its main endeavors to expose the truth.
Whereas otherwise, the organization Katie Bouman is working, official representatives such as MIT blogs, and TED talks have all credited to the development of original algorithm, though when it was at nascent stage, to THE Katie Bouman, while at the same time to her team for handling in subsequent parts.
I salute her. With relevant degree and using her education in imaging black holes, she set the discourse of the main branch that others picked up. If the idea and algorithm germinated in her mind, she should get credit for it, simple. All she needed is few people to delegate implementation of her ideas or modify it for sustenance. If somebody furthered her ideas enough that it can be versioned as 2.0 or 3.0, then they get equal credit and status as her in final mission. She can patent her invention rightly for conjuring the initial stages of algorithm using all of her own cognitive capabilities.
But we should go only so far.
Even women aspirants will get disheartened and show recidivism by wrongly strengthening the bias that they are somehow less capable in attaining pinnacles of STEM, when they learn that the achievements of women in reality is not what media portrays. This is why I consider the twitter photo of her being placed aside Margaret Hamilton as the efforts are no way comparable ceteris paribus.
Moreover, if lack of minority role models is enough of a reason to discourage that aspiring minority from their passions, then it would be no less effective in discouragement of non-minority's passions when there is lack of attention and acknowledgement to non-majority's achievements. I mean how did Katie meander through her success to begin with, if there were no role models to her in the field she is working, in the first place?
People say that men had plenty of men in annals of history to look up to, but I'd contend that women aren't in anyway stopped to take inspiration and pique their curiosity in men's achievements just like men take inspiration from Marie Curie or Hedy Lamarr apart from the sea of men.
 I mean Prof Falcke.
It sounds pretty improbable and I believe it's just an urban myth.
References a paper from 2009 (classified research could well have been much earlier):
Guess what emits UHF/VHF? Terrestrial TV stations and 900Mhz and 700Mhz cell phone towers , like Sprint and Nextel used to operate in the USA before their spectrum was traded/sold back to the government.
China claims can track F22 fighter even in stealth configuration:
And this is what is publicly released for public consumption...
There have been countless threads over the years where a man gets the credit for something a team has worked on and there is practically never any comments about this. For once a woman gets credit and this thread is full of people complaining that there was an entire team.
Yes, there was a team, but that doesn't matter. For once a woman is getting credit for the great work they've done and this should be applauded. Stories like this help bring more women into STEM fields. Anyone who is complaining about the lack of fairness in this is making themselves look ignorant by ignoring the last thousand years of scientific progress.
I think it's just that many people feel threatened or inadequate when they (naturally) compare themselves to these people. It's tempting to put them down so that we feel better about ourselves. I think most of us here on HN like to think that we're clever but when people like Katie Bouman get under the spotlight suddenly most of us realize that we're not such hot shots after all.
It's probably worse when it's a woman/child/minority/... because it gives us the convenient excuse of "this is probably a PR stunt" to dismiss them. It's lazy and it's intellectually dishonest but it's also very human unfortunately.
This leads to people getting rejected thinking it's part of some culture war, when the truth is that most people get rejected, some of those people would have been brilliant in the role they got rejected for and it's exactly the same brutal industry that it was in the 1980s.
For an example of this that involves a male, the media has been hyping the Ocean Cleanup project because it provides them with a great prodigy story, but people on HN have been rightly pushing back against its merits.
Many people are intelligent enough, but are not going to work hard enough.
She became interested in this problem in high school and stuck with it all the way through. She is a genius, and also the genius who did the work that let this happen.
I think in this particular case, I have no problem with it. One, she obviously had a big part in it. Maybe it is blow back because they feel a picture of the inside of a black hole isn't a big deal and people are making it into something big? In my opinion, it is. I remember middle school teachers almost scoffing at the idea of a picture of a black hole and yet, 25 years later, here we are. Regardless, she in her twenties has generated something that researchers spend a lifetime trying to find so kudos to her. I'm sure there is a certain gendered element to it in both cases (for and against) and it'd probably be naive to think there wasn't.
Even if this were a smaller aspect of what these researchers were aiming for, I'd love to see a documentary series on what various team members worked on (and in her case, discovered). An image generated by radio waves and she (maybe with others?) was able to construct an image out of that? That's impressive. Probably not, but I'd be curious if this kind of thing could be localized in a way that it could be the "sound to visual model" element of a system so that blind people could make out the world a bit more directly (obviously, there'd need to be a means for them to consume said model. All of this is way above me and my pay grade).
Damned if you do and damned if you don't.
Anyway, I do not want to sidetrack from this amazing achievement.
I kinda hate the recent trend to focus more on gender or race if somebody achieves anything. Look what Morgan Freeman said about racism . Is it really important that she is a woman? Do people think a lot of women can't achieve these things? And if 1 woman achieved this, all women are better than men? Do everybody just expect men to be smarter and if they do something outstanding it's ok, but when a woman does it, it's extraordinary... Why focus so much on this?
In discussions like this we should really focus on the person (and also the team behind her/him, I doubt she could do it alone without the team), not the gender or race or whatever.
I really hope this positive discrimination hype dies out, it doesn't help anybody. Let the best person for the job get the job.
There are regularly posts here linking to articles about misattribution of credit in science and technology, the problem with the "great man theory," laments about the role of social media in creating hype, and there are plenty of male figures discussed here who engender bitter discussions about how credit should be assigned. I honestly don't see any difference between this discussion and any other discussion. I seem to remember similar discussions emerging about discovery of the Meltdown and Spectre hardware vulnerabilities, and many other physics discoveries involving large teams of researchers, just to take a few examples.
The way credit is assigned in science is a significant moral crisis in my opinion (as it is in work in general; cf. rampant income inequality), and it really doesn't matter what the genders of the individuals involved are. Strangely enough, I think attention is being paid to this argument here because of her gender. It's one of these unfortunate circumstances where I think two competing ethical goals are kind of conflicting, one being the better representation of women and minorities in science, the other being lack of fair representation for all in credit.
The sheer toxicity of many of the comments is something I haven't seen for a long time. They really hate that a women is getting credit and that others aren't getting the same level of attention.
I wonder how those same people think about Elon Musk, Bill Gates, Steve Jobs etc. They had huge teams behind them as well.
For every extraordinarily recognized academic/professional person, there’s always going to be many times more people who are never publicly recognized for their achievements.
Maybe they fly under the radar, maybe they picked the wrong subject to focus on or industry for career, maybe their timing is bad, maybe there’s nothing wrong with them.
I’m proud of this (stranger to me) girl for accomplishing something so large at this age. Being about the same age, I’m not jealous - but it is one more reminder that somewhere along the line my record-player skipped a few years. My 20s disappeared too quickly, or maybe I was focused on the wrong things (work) instead of passion.
As in engineering, it's helpful to use proper terminology with people:
if using a gender is necessary for the narrative …
- under 13: girl
- 13 – 18: girl / teenager / young woman (depends on context; 16? – 25?)
- 18 or over: woman
My wife absolutely loathes being called "girl". It is used to reinforce the toxic idea that women are less mature and capable than men. Same feeling from other women that I've discussed this with.
18 or over = woman.
This is why people say there's sexism in tech bud. A male MIT PhD who was the public face of their project would not be subjected to nearly this much doubt and accusations of being deadweight by insecure 4chan weirdos combing through git logs.
As someone who's been interested in astronomy my entire life, and considered getting a degree in it but only ended up with a minor since I sensibly prioritized CS and wanted to graduate in four years, this is an awesome, amazing, really clever accomplishment. And yet many of the comments here are just so negative, either outright sexist, picking nits and trying to argue that it isn't a big breakthrough or anything, or going through code contributions line-by-line trying to establish that really someone else had more to do with it.
All I know is, she must be insanely intelligent and hard-working. What an awesome PhD project, and at MIT no less!, an institution that I have enormous respect for and that I somewhat identify with because my dad attended and I've been there for many events. I'm jealous. This would've been the exact kind of thing I'd have gone into in astronomy for (because of my background in programming) had I seriously pursued it, but I know I'm just not diligent enough to have seen it through. And being honest, I didn't apply myself well enough in undergrad to have gotten good enough grades to get into a good grad school.
It sucks that so many people jump into "push people down" mode instead of "life people up" mode in these kinds of situations rather, because this is an amazing scientific accomplishment that deserves celebrating. One of the PIs in one of the press conferences said that this was the most important accomplishment in astronomy since 2014 [when Rosetta landed a probe on a comet], and I tend to agree. It's not just about this one image, but about establishing the feasibility of a virtual planet-sized radio telescope that is capable of imaging lots more than just black holes. A lot more discoveries are likely to come out of this technique, and guess who came up with the algorithm to make sense of all those petabytes of data?
1) Look back at any physic journal for similar stories of experimental success (example gravitational waves), you won't find news stories of focus pieces on a single team member because it is a COLLABORATIVE effort. The only cases were single people get recognition is for theorists like Prof Higgs, Hawkings etc, but not for the individual experimentalists at the LHC or other astronomical projects.
2) The idea of focussing on a single team member is a technique for creating a clear narrative that readers can follow. The story would get less interest if you were told about the live and works of all of the team members.
It's not all hate :)
I think it's friggin awesome to see women in science. But even if Bouman was male I would still be cautious of attributing so much of an international collaboration to one person in the form of "Meet the _____ behind the first black hole image". That phrasing disregards too much hard work. I see no reason to offer Bouman special treatment in this regard at the expense of others solely because of her gender. That isn't equality.
1/ She led the team and was first author on the image reconstruction paper
2/ She gave a Ted talk on the topic a while back
3/ There's a brilliant photo of her initial reaction to the image that captures the excitement of scientific discovery circulating on the internet
The first headline on Google for me when searching "black hole image" is this very BBC article.
It was clearly written to grab the reader's attention, and it grabs it away from the actual phenomenon as well as all of the other brilliant minds who came together to make this happen.
She led the CS team. But very-long-baseline interferometry has been around for half a century. Heino Falcke proposed the experiment. Shep Doeleman led the entire EHT initiative. Scientists around the world brought techniques to the table.
I imagine even Bouman takes issue with being labeled "the scientist behind the first image of the black hole". She is surely aware and appreciative of the massive international effort involved.
I never made any comment as to her gender being a distraction, either?
Your post is very mean-spirited, ignorant of the views I just expressed, and honestly I don't like your implication that I am not familiar with the accomplishments of women in the past, especially in my field. Or that I have a problem with their gender. Ada Lovelace and Joan of Arc are two of my greatest inspirations! Cut the obvious virtue signalling.
My entire point is that gender has no bearing on this discussion. It's a discussion about misattributing a massive group effort to one individual. The point is that gender should not play a role in either direction, because that would be sexist. Everything you've extrapolated upon you just pulled out of the aether and not my mouth.
I don't think I've ever seen so many people suddenly desperately concerned that the Little People get a mention, and I'm at least part-way convinced that gender (and maybe youth? she's 29...) has a good deal to do with it (apparently the other thing that triggers the "harrumph, what about the team" crowd are stories about child prodigies, according to another thread).
Imagine you had just had your invention create a picture of a black hole, you wrote the paper where you were the first author describing this and then the press came knocking: would you be as gracious as she has been? Or would you feel like the fucking rockstar you would, in fact, be?
Dr. Bouman is a talented, enthusiastic and no doubt indispensable force on the larger team responsible for this achievement. Her role is as a co-lead for one small team which is responsible for one algorithm (out of four) used for imaging, as well as for an imagine verification algorithm (with Dr. Bouman's focus more on the latter). The larger imaging group (about 45 people by my rough count, led by Drs. Michael Johnson and Kazunori Akiyama) is itself one part of the analysis group, which has three other working groups, and then the analysis group is one of a half dozen larger groups in the EHT project which produced this result.
So it's not a case of the project lead being presented as the face of the project, which is par for the course in academia (and the outside world). It is a postdoc one level above the grad students who form the least-senior rung of the project, and many levels from the top suddenly being misleadingly presented as the key figure in a major result.
Imagine you worked on a small team of a couple of postdocs and a few grad students near the bottom of a hierarchy of teams involving hundreds of people, and then came in one day and your colleague and co-lead at the same level as you was suddenly presented as the face and key contributor for not only your small slice of things, not even the larger component to which the slice belongs, but the entire project?
You'd probably be pretty happy for them, but also confused as to why the many people with the actual role as overall group leaders or the project leaders aren't mentioned. One might also note how distant the general public is from the machinations of the academic world that no one is asking how a 20-something CS postdoc ended up leading a multinational astronomy project involving top faculty from top institutions? In terms of notability and improbability, that would probably be a bigger story than any image produced by the group!
Explaining her actual position and contribution is not in any way to detract from her contributions: only to clarify the record in the face of an onslaught of misleading media articles, which seemed to largely sourced (transitively) from a few misleading tweets, themselves triggered by a viral image.
On top of that, none of this is doing Dr. Bouman any favors. Although they are mostly silent, no one in the EHT project is confused about her role, and none of the other people in her faculty or almost anyone else who matters will be under any misconception despite the headlines. If anything, academia is even more picky than other fields when it comes to attribution, so any type of misplaced credit can be viewed very negatively and can attach itself to a person indefinitely. Now she hasn't invited this or propagated this story, so one should consider her a blameless victim here: but not everyone in a position to care will necessarily remember that subtlety.
One needs to just look at another large thread that generated controversy to get an idea of the growing trend .
Which means one has to ask themselves: Is HN cultivating an environment that's only going to get worse? And personally, I think the answer would be yes.
She definitely did something amazing and unfortunately it turned political because it fits the narrative that some people love to push currently.
I'm not a fan of the liberal agenda of positive//negative discrimination. I really believe that it is making everyone worse off, especially women that are being treated like little kids that need to be shown the correct path.
We just want to show that you if you accomplish something in tech you aren't going to be diminished or dismissed simply because you're a woman.
How do you know?
In spite of this, I'm lucky to have an amazing network of other women in my field, and thanks to the internet and cultural exchanges, we don't feel so alone these days.
I worked at one of the most progressive / women-friendly companies in San Francisco, and as of last year, only 34.3% of our technical roles were filled by women (company size ~1,000). I'm eager to see this year's numbers, and hope they've improved, but there's undoubtedly a lot of room to grow.
You may feel uncomfortable knowing the hiring process is weighted. But I feel uncomfortable being in an office that doesn't have other women. If I can change that WHILE at the same time meeting my hiring standards AND not consciously turning away a clearly better candidate then absolutely, I'm going to use positive discrimination.
Women make up 48 percent of the total work force, yet only 24 percent of STEM workers
15% of engineering professionals are women
Women make up less than 10% overall in computer science and engineering
Surely, a man can be a role model for a woman in science (and vice versa) - e.g., if you are from the same small ethnic minority as the role model.
However, male/female lifestyle, upbringing, interests, challenges, etc. are quite different in general, even in otherwise very homogeneous (western) societies.
Therefore, the role model having the same sex/gender is very important.
(Just my view - I don't have evidence or experience in this regard).
I call bunkum on that. TBH it seems both sexist and racist to say one can only be inspired by people of one's own characteristics (in science).
In this case the sex and race are irrelevant to Bouman's contribution AFAICT.
If you were talking about someone like Payne-Gaposchkin, then she overcame a deal of sexism, fair enough.
The whole she did it and had ovaries, omg, seems so condescending and unnecessary.
> The whole she did it and had ovaries, omg, seems so condescending and unnecessary.
it's not omg she had ovaries, it's omg she did it, knowing she's going to get shit on by people (e.g. these comments) instead of applauded for what her and her team did for science. That's how it's inspiring to me.
That may be your personal definition, but that is not the actual denotation of "role model". Some definitions I found are:
"a person whose behavior, example, or success is or can be emulated by others, especially by younger people. "
"a person whose behavior in a particular role is imitated by others"
There is no mention or qualifier of it needing to be someone who shares one's background
Like yeah I got some male role models too, but fuck I want some representation! Someone who I can relate to! Someone who I know went through what I did!
Which is what, exactly? What is so fundamental different abotu your experience? The immeasurable pain of being a minority in a group of people?
1. Your tone is excessively combative for Hacker News. If you're put off by my saying that, ask yourself what a non-combative way to take that in and reflect on it would be. As a concrete example, you said "What makes women unable to have male role models, but men able to have female role models?", in a thread after the OP had already replied to you that she had/has men as role models. It implies either that you aren't listening, or that you're being antagonistic for the sake of being antagonistic. Neither is welcome here.
2. Using phrases like "toxic feminism" make you sound intellectually feeble. Try to be more specific and concrete about what you're addressing without using charged words like that. Unironically using the phrase "toxic feminism" instantly undermines any argument you might make. Again, if your point really is to learn from / share with others, find ways to communicate that don't put up walls.
3. If you're legitimately interested in finding out about why representation matters — and I sincerely hope you are — this is a good piece on it: https://medium.com/@uxdiogenes/just-a-brown-hand-313db35230c...
From the abstract:
" Consistent with the importance of exposure effects in career selection, women and disadvantaged youth are as underrepresented among high-impact inventors as they are among inventors as a whole. These findings suggest that there are many “lost Einsteins”—individuals who would have had highly impactful inventions had they been exposed to innovation in childhood—especially among women, minorities, and children from low-income families."
Well at least according to the paper "The Gender-Equality Paradox in Science, Technology, Engineering, and Mathematics Education
Gijsbert Stoet, David C. Geary"
This is the life of all men in competence hierachies. All of these things happend to me within the last half year and have been since I was a boy. Doesn't matter in the least, you couldn't pry me away from my interests with a crowbar.
This is your real problem: generally, girls want to be invited, boys just do.
The reason I speak up at all and will take all the abuse and downvoting thats sure to follow is it irks me so much.
We got into PCs and didn't matter one damn if they came from space aliens or out of the dumpster. We sat at them, we sat at them and we got scolded for it and told to go outside and called nerds. Our status was absolute dogshit and few women would associate willingly with computing in any form.
I am old enough to remember that at parties we mumbled "something with computers" and smiled apologetically hoping the topic would move on. Yes, many of us spent years, decades even, feeling slightly ashamed of our profession.
Now that the best and brightest of us nerds literally reshaped the world into a place where your personal handheld computer became a status symbol here come the women.
And you know, it would be okay, we are very tame men overall, except now you claim your collective absence from this topic is because we hurt you. No, we did not, you all just didn't like computers.
There was, however, an extra article about his rocket engineer on HN. Mabye that is more like it.
But in a published headline, one ought to be addressed by their formal title.
Differences exist between casual conversation and publication. A distinction I shouldn’t have to point out as one that exists.
As long as the BBC is consistent (and not biased because of gender or other factors), I don't think it's a big deal.
From the BBC's style guide:
Use the title Dr (always abbreviated) for doctors of medicine, scientific doctors and church ministers who hold doctorates - but only when it is relevant. So it would be Mr Liam Fox. But do not use Dr for politicians who have a doctorate in politics, history etc. Surgeons should be referred to as Mr/Mrs/Ms.
Index-level headlines must be 30-39 characters long, including gaps - usually five to seven words. Story-level headlines can be up to 55 characters (a little longer as long as key words are within the 55) and should aim to include key terms to attract search engine referrals.
Avoid the US convention of using a comma in place of the word "and" (eg: "Crowe, Roberts in Oscar triumph").
If the attribution is clear, there is no need for quotation marks (eg: I’ve had enough, says Smith). Any quotation marks in a headline must be single.
Headlines might appear without an accompanying summary, so keep them simple. A cryptic headline, out of context, may be meaningless.
May have found my own answer much sooner but thanks nonetheless for that bit of information.
This is an assumption, but I would think that all the recommendations in their style guide were put in there with at least some consideration.
I don't think this is an attempt to minimize her accomplishments, unlike many of the comments here in this very thread.
My statement isn’t an assertion of requirement on the part part of the BBC. This is just opinion and really ought not be looked upon as something incendiary or contentious.
I personally think they should all be addressed by the titles they've worked lifetimes to earn, that anyone who holds a formal title such as Doctor should be addressed as such in a non-casual/non-informal environment, but I'm also willing to entertain that this is a possibility for why the difference may exist between Dr.'s Sagan, deGrasse-Tyson, and Bouman. And yes, there are probably, most likely others that are far less nuanced and charitable.
Would you be willing to entertain that viewpoint?
I think you are now beating a dead horse with this argument.
Apparently that is a problem for some in this community which is a damn shame.
Titles in general seem quaint and obsolete to me (and to many others). Seems like a relic from centuries ago, like from monarchies. I don't see why not participating in this is a "problem" or a "damn shame".
One can make intelligent arguments about the use of such titles. These aren’t.
However, I think to call her "the woman behind the first black hole image" is a hyperbole. It makes it sound as if she was _the one person_ responsible that all this came about. -- But that is not the case. Arguably, there are others who have contributed as much if not more. This is what makes me somewhat feel that this focus on her is not quite fair.
Coverage in mainland Europe has been different so far: Prof Falcke gets a lot of credit for the image/project. Falcke is heading one of the major teams that contributed to the project. In fact, many here attribute the conception of the project to him. But how many in the English speaking sphere have heard or will ever hear about Falcke? Why is that?
My personal guess is that the reason for this is: 1) The Anglo-american media were looking for inspiring EHT scientists from the English-speaking world. 2) Bouman fit that description best.
So, imv, something like "The inspiring story of Katie Bouman" and some credit to some of the other major figures like Falcke would have been fairer.
Thought experiment: if you saw an article titled "Jony Ive: The Man Behind The iPhone" would you be commenting on how unfair it is to single him out? After all, he just designed the thing, a huge team of people built the software and the hardware that actually made it possible.
What turning did was to take the initial prototype they received and build a even more powerful and refined version. In particular he improved the technique so it broke the naval version of enigma which was more complicated than the army version that the polish had broken earlier. This was in part possible because the British had captured a working naval enigma from a German submarine.
(A lot of this comes a book called The Code Book by Simon Singh. The last chapter on modern ciphers is a bit dated but the chapters on enigma was quite good.
Yes, and that’s what happens in each of those hyperbolic articles (that are mostly about Jobs, but same thing)
first: by alluding to Ive, you insert a gender component. i don't want to make this about gender - which is what happened itt. as mentioned, i think the difference in focus is because of geo-cultural reasons. another piece of evidence for this hypothesis comes from the following: over here, the EU also gets a lot of praise for providing the main chunk of the funding for the project. a quick check tells me that this detail is often omitted in US articles about the project.
also, a note on myself: i work in a field where the majority of people are female. so is my boss. her work is great and i love working here. at the same time, i am aware that the bar to get here was higher for my female colleagues than it is for men. also, i see the glass ceiling having an effect on the careers of my sisters and my female friends. and i am painfully aware of the struggles that my mum and other women of her generation had/have to go through. so i consider myself a feminist, in the sense that i believe that we should have full equality and that we do not have it yet.
second: think iphone, i think jobs. so what "Jony Ive: The Man Behind The iPhone" would imply to me is that Ive is _the one person_ that had the biggest impact on the development of the iphone. i don't know enough about Ive to evaluate this. but here's the thing: if it turned out that another person contributed as much if not more than Ive, then i'd say: hey, it's nice that the article introduces Ive and gives him some credit, but let's not exaggerate and let's not forget about the other people who have also greatly contributed to the project.
edit: to clarify: i find it hard to say, because it's somewhat hypothetical. i truly hope for myself that i would react the same way / that gender has no impact on my thought process.
Personally, I want to say the gender component actually happened right about here:
>> Her story is trully inspiring! She seems like a really likable person
We have interesting ways and subtext when we talk about people that show our biases. Actually beyond that the entire article isn't anything about asking Katie questions or how she came about her algorithm. It's more about her fast rising popularity. It's an article that says a woman did something without saying that. I'm not judging if that's offensive or merely a reflection on how we relay news given our society.
EDIT: it looks like the title of the article has either changed or SEO causes some to see different titles than others. Regardless my initial comment should still be valid.
Make a BBC Horizon story about how he came to his best work and about him. That's cool. But to frame it as just being him and not the others behind the work.. it's nothing but hero worship.
I get it. I truly do.
But consider the context: This picture of a blackhole is going around along with an iconic picture of a woman with a ton of hard-drives that resembles the iconic picture of Margaret Hamilton with a stack of papers. Put yourself in the shoes of someone who knows little to nothing about this project. What questions do you think people have?
Headlines have to create irresistible questions that lure people in and this one is using the tried and true "Who's this genius?" formula.
Once they've grabbed this casual reader (see headline), they're not going to dive too deep into the project. This isn't serious science journalism, this is a human interest story in the science section.
Why did they pick her? Because she lead the team and was a key figure in conceiving and implementing the algorithm. Because she was already the face, spokesperson and active promoter for this project. Look at her TED talk from 2017.
I get it. Tons of people deserve credit. More importantly, the story of how this team collaborated should be told. But that's not what this profile piece is about.
But let's get serious. You're critiquing the accuracy of a very casual profile piece for average readers. Most of them really don't care what statements are slightly hyperbolic, they just want to understand the gist of the project and her role.
That was used to say "well women are doing something very important" (If we're truly focused on equality should be yes.. that is normal.. but why is that important to advertise that message)
The feeling that I'm getting from all of this is that the result is showcased to the side and they're trying to make her into a celebrity. I would love to hear her praise "her team" (her team is a subset of people in the whole project) Although, I don't think she has enough experience to realize that it's a good thing to do. (That's something you get from working in teams outside academia)
If you go to the moon, you don't just praise the one guy who did it. You bring the whole group of astronauts who went and did something. If they're smart they're going to admit that there were a ton of people who helped.
EDIT-Update on the comment about the team praise: https://news.ycombinator.com/item?id=19638629
She did that in the TED talk. And in the article linked above. And basically everywhere else she's spoken.
I admitted that I was incorrect in my impression. I could have deleted the original comment but posted an admission that I was too quick to jump to conclusions.
You should be aware of what the media is trying to say, and how it's presented. This comment section is showing how different countries are presenting the same situation.
Confirmation bias in academics:
It's very common to escalate the work from undergrad->grad->postdoc->professors. (Doing the most work to the least in that order). It's pretty terrible.. but that's how it operates. Does the advisor do much? Do they get their name on the paper, yes. (In many times at the top)
Women- Her gender doesn't matter on this. The work she did for her research is awesome, it's clearly her work. (It's similar to super-resolution) This wasn't a single I just applied my algorithm and everything happened. Lots of people were involved in collecting, cleaning, managing, and adapting her improvement to existing CV algorithms to reproduce what a blackhole looks like.
You admit you were too quick to jump to conclusions: but I'd argue you were quick because those conclusions "seemed right" based on your own biases. I dunno. Maybe your statement "Although, I don't think she has enough experience to realize that it's a good thing to do." didn't have anything to do with her being a woman and it's just a coincidence that women struggle with being seen as less experienced than their male peers. It just came across to me as a really patronising and insulting thing to say, and hard thing to blame on the reporting of others.
> But Dr Bouman, now an assistant professor of computing and mathematical sciences at the California Institute of Technology, insisted the team that helped her deserves equal credit.
> The effort to capture the image, using telescopes in locations ranging from Antarctica to Chile, involved a team of more than 200 scientists.
> "No one of us could've done it alone," she told CNN. "It came together because of lots of different people from many different backgrounds."
> "We're a melting pot of astronomers, physicists, mathematicians and engineers, and that's what it took to achieve something once thought impossible," Dr Bouman says.
The suggestion that people should avoid casting doubt/criticism due to a person's gender is sexist.
You see how sexist that assumption is, right? Don't be that guy. Give her the benefit of the doubt you'd give a male researcher.
My comment would have remained the same if Dr. Bouman identified as male. The age of an individual when they get their PhD is somewhere around 27-29 (depends on when they start grad school.. it's usually about 5 years) People with more experience realize it's better to work and recognize the team rather than not. Kids fresh out of school just don't have that experience.
I don't think anybody truly believes that taking images of black holes is a one-person job. And the title doesn't imply that. Neither does the next, boldface paragraph in the article:
> A 29-year-old computer scientist has earned plaudits worldwide for helping develop the algorithm that created the first-ever image of a black hole.
Immediately followed by:
> Katie Bouman led development of a computer program that made the breakthrough image possible.
Is that sport player really a star os is he/she a star because he has an amazing team that creates the opportunities for him/her to stand out?
Is this law championed by a politician really his/her idea or does he/she have a team of advisors that helped shape it?
Nobody lives in a vacuum. There isn't a single person, dead or alive, that has accomplish anything of importance without the help of others (knowingly or unknowingly, wether directly or indirectly) but at some point you have to take that for granted, to a certain degree, and focus on the figure that drives the enterprise, or makes a new discovery thanks to previous ones, or leads a team, or publish a paper.
It's not media who loves to have a winner, in any case. It's all of us, and the media obliges because it knows that a story with a hero is better told and better heard. It just happens that for some reason, in this case, having a hero seems to be unacceptable for some and I can't quite put my finger on why...
It doesn't say that though. It says she was behind the image. And as I understand she lead one of the teams responsible for creating the image from the data. So I don't think that is particularly inaccurate as far as headlines go.
"But Dr Bouman, ...insisted the team that helped her deserves equal credit."
and yes, she emphasised this elsewhere, too, which imv shows what a great and humble person she is.
What more should the media do? "Faceless, nameless team does X, No film at 11 in case that might make someone look like they're getting too much credit."?
Every team has a leader (de facto or otherwise). Having one voice, one face for a globe-spanning team effort is the way the media can convey the amazing, awesome message to the masses in a relatable way.
But that is the problem, actually. Simple question: Is Prof Bouman the team leader that held all this together?
In answering this, consider this is from the ERC website, which is the major funding body of the project:
> Since 2014, this six year research project is being carried out by three lead scientists and their teams; namely Professors Heino Falcke from Radboud University Nijmegen (also Chair of EHT Science Council), Michael Kramer from the Max Planck Institute for Radioastronomy, and Luciano Rezzolla from Goethe University Frankfurt. 
So to answer "What more should the media do?", my guess would be: at some point, mention Falcke, Kramer, and Rezzolla? And the ERC?
Why does this bother you so much? What do you lose by her getting credit? Or anyone? What actual harm is it doing?
Why does a woman getting "credited unfairly" strike a nerve when it happens every day that a CEO takes singular credit for an entire corporation worth of people's work with no "Unfair credit!" reaction?
The so many articles you read about Steve Jobs and the iPhone.
Did you once say/ask “it was not just Steve Jobs. It was a whole team of people who created the iPhone”?
The media and the public in general give him the credit because he led the team that developed the iPhone.
The first man to walk on the moon. He couldn’t have done it without a whole team of people working before, during and after they landed. Most of the media does not go into detail when they write stories about it.
It’s silly to say that everyone on a team should be mentioned by name in every article that comes out about an accomplishment.
And, yes, I personally do speak out when CEOs and such take credit. [The Google Android project head is one example from recent memory].
my criticism is not...
i mean, is it even really "your criticism?" why aren't you giving credit to others who are speculating the same issues? you're basically saying you're the first person to ever think this, did you even search for others or are you content in helping them to toil in obscurity?
You're thinking like a programmer. Think not like a programmer and then explain why the original headline is better.
Why was the article written?
Of the 129 comments on that story, not one discussed how software development at Microsoft is always a team effort. Or checked any repositories counting LoC to quantify the value of his contribution.
Meanwhile, in this thread, I see 6 of 73 comments as of now not discussing a woman's relative contribution to a team effort, and how she does or does not deserve praise.
>It's a miserable language, full of unexpected behaviors and badly designed features.
I agree. That no one is tearing apart the horribly written python in the git repo is extremely sexist.
Holy shit, you're using comments as version control, the 70s called and what their code practices back.
Oh my god, did you even read the thread? It gets better with each post:
>I haven't met a single person who likes PowerShell. It's perhaps the textbook example of ugly design that looks technically consistent but utterly unfriendly and mind bogglingly verbose. [...] The designers of this thing should have been demoted, let alone making them "Distinguished Engineer".
>PowerShell is one of the few bits of software which has actually made me throw a computer in anger. The idea has potential but the implementation is just bad.
And they go on and on.
I wouldn't expect the answer to "who is the person behind the first black hole image?" to be so clear.
However, this is such a great achievement. Would be awesome to learn more about the algorithm.
It specifically lists the teams in the article.
She has a doctorate from MIT and isn't being glorified for turning on a computer, but for her algorithmic work squeezing information out of the gravitationally mangled paths of spurious photons reaching us after 80 million years.
That "learn to code" meme has also become a favorite of the alt-right to go after anyone they don't like.
Would you say that they are "alt-right"?
But uh oh, now there's a woman behind something all of a sudden it's a huge problem and the thread is packed with complaints about it. I wonder why that is?
"A 29-year-old computer scientist has earned plaudits worldwide for helping develop the algorithm"
Or even a few sentences in:
"There, she led the project, assisted by a team from MIT's Computer Science and Artificial Intelligence Laboratory .."
But hey who needs to read articles when you can jump to conclusions and surface your clear biases.
There, she led the project, assisted by a team from MIT's Computer Science and Artificial Intelligence Laboratory, the Harvard-Smithsonian Center for Astrophysics and the MIT Haystack Observatory.
But Dr Bouman, now an assistant professor of computing and mathematical sciences at the California Institute of Technology, insisted the team that helped her deserves equal credit.
The effort to capture the image, using telescopes in locations ranging from Antarctica to Chile, involved a team of more than 200 scientists.
"No one of us could've done it alone," she told CNN. "It came together because of lots of different people from many different backgrounds."
Katie's lines of code did two things:
1) integrated the code of others
2) allowed you to change the font-size
The software is "ehtim", here are the contributors:
> I wrote ehtim (eht-imaging) as a python framework for implementing regularized maximum likelihood imaging methods on EHT data. In the last two years, it has evolved into a flexible environment for manipulating, simulating, analyzing, and imaging interferometric data and is a workhorse of the EHT’s data analysis pipeline.
At first I thought the image was being disingenuous by cherry-picking commits to highlight, but take a look for yourself, she really did mostly just modify plotting, add options and fix bugs:
There's nothing wrong with that, but claiming that she is "behind the software" is just bullshit.
But who's counting, right? Seems that you have to not only manage the team writing the software, but you also have to write the entire software to get credit.
It's a shame that the genuinely colossal achievements of Katie and her colleagues are being trivialised by this toxic "progressive" coverage.
Not sure if trying to be strong pun.
I guess it's no different than a pharaoh taking credit for the pyramids built on the backs of the slaves.
Almost all of those lines committed to GitHub are numbers generated by the code and stored in text files in the "models" folder.
I'm not trying to diminish his work but saying big numbers because they sound impressive is stupid.
Katie Bouman was the scientist in charge of the project of taking the enormous amount of data and translating that into an actual image. Not only does the article state that the larger project has 200 people working on it, Dr Bouman comments that her team deserves equal credit.
There is no problem with celebrating some of the leaders of projects. We all know Tim Berners Lee didn't single handedly install AOL into our houses but he's still known as the father of the internet because that's how media works - they publicize people who have been crucial in specific work. We don't need a conspiracy theory to explain this.
Yes she was in charge of the team responsible of producing the image from the data, it doesn't mean in anyway that she's "behind the first image of the black hole". Everybody involved is behind the image.
This is not about celebrating those people, it's giving the main chunk of the credit to this person alone. I have no idea why is it such a hard thing to understand or why is this even an issue. Claiming that this person is the only "crucial" person involved is a straightforward lie. If that's how the media has been doing it for 30 years, then the media needs to change and fix their lies.
> This is not about celebrating those people, it's giving the main chunk of the credit to this person alone.
Because leading a large team of researches working on highly complicated work is respectfull work as well. Another team leader might have botched it and we wouldnt have the picture.
> Another team leader might have botched it and we wouldnt have the picture.
How do you know that? The "might" means nothing here. There were many other teams working too and each of them have their talented leader doing complicated things. Choosing this one specifically from all others to take the credit is meaningless.
Very few people are excited about "5TB of data of a black hole gathered".
> How do you know that? The "might" means nothing here.
It doesnt mean _nothing_. It means she did a good job, or at least good enough, for her team to actually produce the image.
How I know that some other team leader might have botched it? I would have.
Does it really count as an image of a black hole? Since no light is reflected by the black hole, all we see is light bend by the gravity of the black hole.
Haven't we seen that before? I have the strong feeling there have been photos of star constellations that seem distorted because of black holes.
A quick googling brings up this article from 2014 for example:
"Black hole bends light, space, time -- and NASA's NuSTAR can see it all unfold"
Because it's nitpicking. When scientists show you results of several years of work of many people, you effectively chose to ask question like "Is it really violet? Seems more purple to me". You don't contribute anything to discussion, but just want to sound smart-ass.
My understanding now is that this is the first time we've observed one accurately enough to get a picture of the Einstein ring around a black hole. And even there, it's heavily reconstructed using machine learning, which I wouldn't call a "photo", more of a "AI artist rendition".
The link says nitpicking is "Looking for small or unimportant errors".
That is certainly not what I want to do.
The press is full of articles about this "First photo of a black hole". This seems to imply that it is somehow important. But so far, I fail to see what is important about it.
So my question still stands. I would really like to know in what sense this is the first image of a black hole. And if there is something we can learn from looking at it.
My first impression is "Yeah, it's round. I would have thought so." :)
My take in response to your original question is that it seems like nitpicking or armchair quarterbacking or something else related to that.
I'm always wary of succumbing to the "appeal to authority" fallacy, but this does seem like a case where all the experts and leading figures in a field are saying this is a big deal, and publishing a lot of info about it, so the right approach just seems to be to take the time to read/listen to what they're saying and learn, rather than posting simplistic skeptical questions in web forums.
If you didn't intend to come across that way, then perhaps rethink your question or the way you worded it.
The images in the google search link you supplied are all, without exception that i can see, artistic renderings of a black hole.
There are images of gravitational lensing  that show a basic distortion of light from gravity, but none of them reach the intensity of a black hole's 'event horizon'.
The body that we are seeing is at the center of the bright spot in this image , and is the source of the blue jet of material coming out. (I originally thought that jet was projected laterally, but in one of the two recent Veritasium videos on this topic he says it's actually heading almost straight at us and is 5000 light years long.) However, it's such an infinitessimally small part of the above image (about 1/10,000,000th the size) that we do not possess the optical resolving power to actually see it. For example, Hubble can resolve down to approximately .05 arcsecond. This image is approximately .00004 arcsecond. To get that resolving power they had to combine signals from radio telescopes all over the world using a technique called Very Long Baseline Interferometry. The contribution of Katie and her team is to extract a useful image from the petabyates of data that came from that exercise.
 - https://en.wikipedia.org/wiki/Gravitational_lens#/media/File...
 - https://upload.wikimedia.org/wikipedia/commons/3/39/M87_jet....
It's the first time that's been done.
All the images in the DDG search are artistic constructions.
Edit: The thing that's so remarkable is that it does look like what scientists predicted it would look like, and thus some of those artistic representations are similar to what we're now seeing in this image.
EDIT: In Dr Bouman's TED talk, she notes that there are an infinite number of ways the sensor data could be constructed into an image, and that they were looking for a construction that looks like what they expect things in our universe look like. So, there's some ambiguity in the definition of "photograph"
We do the same thing with digital cameras, X-rays, MRI, etc.
Edit: While I'm being rapidly downvoted, I'd like to clarify that I didn't mean to demean this because it's a female nor any of the feat this research has achieved. My point was only about why is it reported as if individual feat while many of such things are a strong team work.
For some other questions - will you say the same about Elon musk - of course i've argued this among my peers and that's exactly why I called it similar to `Jobsism`
To Quote: Another recent incident, While AI Godfathers got Turing award, many questioned why this person hasn't got and that person hasn't got.
My idea for this comment was a constructive discussion but it took a different spin that my comment is against this woman which definitely not my intention.
Already read your coward excuse that you are only attacking the media, don't bother justifying your misogyny and insecurities.
Your profile has less than a year, can't be traced to the real you and all/most of what you say is just cheap criticism. From what I see, you are nothing than a mere internet troll that got some attention; an information parasite.
Know that you represent the worst of the information age.
How would you rate "Meet Robert Oppenheimer, father of the bomb"?
I'd also love anyone to point me to any similar discussion on Elon Musk and one of his companies.
People I right, I made an assumption based on the title and not the content.
The media have highlighted the lead, she credits the team, and the article outlines the numbers who worked on it.
And whilst she is getting more attention it has not come at the expense of anyone else.
And you wonder why women hate to work in IT with comments like yours where you've dismissed her accomplishments simply because she is a "women in tech".
- When an individual/team's work is emphasized by their biological characteristics, it is often meant for clicks or to drive emotions (positive & negative)
- When that happens, ask yourself whether the author of the paper did it for nefarious reasons or not.
- If the cause doesn't seem nefarious, ask yourself whether the society around you has outgrown the biases towards X biological characteristics
- When interacting with others, do not base your actions and thoughts on their biological characteristics.
- Celebrate, debate and criticize the work that the individual/team did, the work the author of the article did and the comments.
I am all in for getting more people from all backgrounds into Computer & Sciences. I also agree that sometimes it is beneficial to have 'biological characteristics' added to articles to get certain groups to find someone to look up to. Humans are biologically set-up to do that, what the guideline implies is for everyone to do 'at least that' before creating biased comments.
Care to explain how the 'guidelines' comment is projecting?
The title of the article as of this moment is, “Katie Bouman: The woman behind the first black hole image.” Saying, “the woman behind X” doesn’t emphasize gender any more than saying “the man behind X” does. Again, this is you projecting, perhaps because you think “normal” is male, and thus “woman” is somehow making a statement?
I see nothing in the body of the article that mentions her gender in any way other than using the pronoun “she.” It seems to me that you read an article about a female scientist and projected some kind of ulterior motive on the part of the author, which says a lot more about you than it does about the author.
Like I said before, based on OTHER PEOPLES COMMENTS, I recommended them to consider those guidelines. I still have no idea why it became about me projecting something.
Regardless, to cover your point, media companies use titles to instill something in the reader and emotion is often a tool. "The woman behind..." or "The man behind..." doesn't have any impact on the way I process the information, however, it does for others (positive and negative). For a children, it can be a source of inspiration, for someone else it can trigger something negative based on the current environment of things. This tool has been used to glorify astronauts, soldiers and many other areas. I didn't project anything, I read OTHER PEOPLES COMMENTS and thought it was important for them to consider what I said.
Hopefully in the future, everyone will stop putting so much emphasis in biological characteristics (READ OTHER COMMENTS HERE AND ELSEWHERE) and take it for what it is, a bright scientist gave us a snapshot of something we have been curious to see for decades. Regardless, you should re-read my comments to realize your points are null and you likely misconstrued my points based on your preconceived notion and current state of mind. If you are willing to have a healthy debate, I would be more than willing to dig into some of the topics you may have, including the amazing work Dr. Katie Bouman did. Now if your aim is to continue to attack me for something I didn't do, then I hope you have a good day.