I’m hosting an academic competition, and I need to get the word out to any peers that may be interested in participating. My advisor told me to search for academic mailing lists, but I can’t find any. What are the best venues to get the word out about academic information? I’m particularly interested in publicizing the competition throughout the USA and Brazil, but any advice is warmly welcomed.

Clarification: My objective is not spamming or any kind of malicious activities. The same way that conferences and activities are spread by someone inside the universities, I would like to reach to reach a wide audience to invite them to participate in the competition, with pure academic interests—specially since the competition is part of an international conference.

The topic is related to machine learning. But any tips for any kind of topic are welcome.

I’m hosting an academic competition (I also made a post on Kaggle but we are not to host it there), and I need to spread it to any fellows that may be interested in participating. My advisor told me to search for academic mailing lists, but I can’t find any. What are the best venues to divulge academic information? I’m particularly interested in spreading the competition throughout the USA and Brazil, but any advice is warmly welcomed.

Clarification: My objective is not spamming or any kind of malicious activities. The same way that conferences and activities are spread by someone inside the universities, I would like to reach to reach a wide audience to invite them to participate in the competition, with pure academic interests—specially since the competition is part of an international conference.

The topic is related to machine learning. But any tips for any kind of topic are welcome.

My professor let us study our marked midterm papers. I photographed my paper, so that I could discover my mistakes and learn from them. My professor freaked out when I photographed my marked paper.

What’s wrong with photographing a marked midterm paper?

My professor didn’t forbid photographs in advance and other professors don’t mind photographs being taken, some even provide model answers.

My professor let us study our marked midterm papers. I photographed my paper, so that I could discover my mistakes and learn from them. My professor freaked out when I photographed my marked paper.

What’s wrong with photographing a marked midterm paper?

My professor didn’t forbid photographs in advance and other professors don’t mind photographs being taken, some even provide model answers.

In this video tutorial about craft of writing research papers, a professor talks about a community and a model of knowledge which is very intuitive to me.

A key point is that a community exchanges important ideas in a kind of code, and in order to be part of the community you must speak using this code. Is this true in academia? If it is, how can one learn this code?

This question is related to this already asked question

In this video tutorial about craft of writing research papers, talks about a community and a model of knowledge which is very intuitive for me.

Is this understanding that a community exchange important ideas in a kind of code which for being part of the community you must speak using this code is correct(Regardless of who tells this).
If it is how can one learn this code?

This question is related to this already asked question

I am currently doing my postdoc at a US university (I am not American, and from a quite different culture although still from a Western country). At the beginning of this year, the department interviewed candidates for an assistant professor position and this was nice because we got a series of really good talks for several weeks. One of them was really better than all the others in terms of science and how they presented their science and interacted with the audience during questions.

I recently learned from a faculty on the search committee that they won’t even make an offer to this objectively best candidate, on the basis of what I believe, and this faculty admitted, is “positive discrimination” or “affirmative action” as described in this answer.

Now, I think positive discrimination is attacking the diversity problem from the wrong side. How is more discrimination going to lead to less discrimination? Call it “positive”, it is still discrimination against a category of people.
I think universities and departments are shooting themselves in the foot by deliberately discriminating against people who would be excellent professors and researchers, on the basis of trying to promote more diversity. Instead, I think they should massively grant scholarships to (or waive tuition for) minority undergraduate students to compensate for the insane cost of tuition fees, which obviously select for students with rich parents (who happen to be white for the most part, because that’s the current state of society). By promoting diversity at the very beginning of the academic curriculum, the problem will solve itself and in 10-15 years when these students arrive on the job market, the pool of applicants to assistant professor positions will likely be much more diverse than it is now. Then, there would be no longer any need to enforce diversity at that stage by actively excluding good candidates who happen to not fit the “positive” discrimination criteria.

Admittedly, the situation is very complex. I would like to understand it better (maybe I am missing important points explaining why positive discrimination is the only sensible policy?).

Recently, I saw a video tutorial on writing research papers in the University of Chicago writing program. In his video, professor Larry McEnerney presents a model of knowledge in which knowledge is what lies between heads of people in a community. So in order to be successful in research and accepting papers, we must know the community as well as the knowledge between the heads.

This insight was very helpful to me. Previously, I wrote a paper that is hard to find an appropriate journal for it. Every journal I read, I found that it is very unlikely to accept this paper of mine for various reasons.

In his video, professor McEnerney talks about community and people in power in that community. He suggests that a successful researcher is the one that speaks to the right community and the measure of her success is the amount of change by her in the space between heads. So we must know the community, its structure, people in power in the community as well as knowledge that is information in the space between heads.

My questions are:

  1. What he means by a community? Is it the authors of a given journal in the last ten years or so? Plus of course the editorials of a journal. Or is it consists of any authors that cited the journal in the last five years or so?

  2. How to know the people in power in a community and what they know and think in order to change their knowledge toward my idea in a research problem or field?

  3. How to be part of a community?

  4. What is the relation between some journal communities which work in very related fields often from different perspectives?

Recently, I saw a video tutorial on writing research papers in the University of Chicago writing program. In his video, professor Larry McEnerney presents a model of knowledge in which knowledge is what lies between heads of people in a community. So in order to be successful in research and accepting papers, we must know the community as well as the knowledge between the heads.

This insight was very helpful to me. Previously, I wrote a paper that is hard to find an appropriate journal for it. Every journal I read, I found that it is very unlikely to accept this paper of mine for various reasons.

In his video, professor McEnerney talks about community and people in power in that community. He suggests that a successful researcher is the one that speaks to the right community and the measure of her success is the amount of change by her in the space between heads. So we must know the community, its structure, people in power in the community as well as knowledge that is information in the space between heads.

My questions are:

  1. What he means by a community? Is it the authors of a given journal in the last ten years or so? Plus of course the editorials of a journal. Or is it consists of any authors that cited the journal in the last five years or so?

  2. How to know the people in power in a community and what they know and think in order to change their knowledge toward my idea in a research problem or field?

  3. How to be part of a community?

  4. What is the relation between some journal communities which work in very related fields often from different perspectives?

It is becoming more and more obvious that the present subsymbolic/neural networks/statistics based Artificial Intelligence (AI) research and applications experiences natural end in its development. E.g. https://futurism.com/what-would-take-home-robots-good-what-they-do/ summarizes the sad state of intelligent home robots – they are incapable of functioning despite the years of research by the most capable and most supported researchers and billions of investment by the numerous top companies. The chatbots and artificial dialogue systems are silly and are not usable. The natural language inference is only marginally developed. Yes, there are newspaper headlines about discoveries, but all of them are no scalable to the self-aware, conscious and fully autonomous intelligence. The situation is sad. And it can be attributed to the used methods – neural networks, subsymbolic-black box and statistical approaches. Logical and symbolic methods are neglected, also they hold the promise of the completion and achievement of the AI promises.

One should put this dire state of AI development in the current context – banks and investment advisors are almost unanimously in agreement that the next big economic crisis (that is imminent in the capitalist cyclic society) will start no later than in the middle of 2019. The breakthough in AI and technologies can prevent its start but it is unlikely considering the present trends and development that such breakthrough can happen until then.

Apparently – there will be very sad consequences of this crisis. Firstly – investment will be slashed and obviously the AI community will experience the biggest layoufs due to unfulfilled promises. The society as a whole will experience setback. Even at preset there are critics of AI from the less educated circles – they don’t believe that the manual work and low level human work (like call centers, accounting, law clerks) can be automated and hence they don’t believe in investments in AI and robotics research. If there will be crises, then businesses will abandon costly and uncertain investments and will rely on the manual and primitive work of humans. And hence – the worldview of the less educated will govern the political agenda and this even more will hamper the AI research funding and AI investments.

So – due to coming economic crisis and due to roadblocks – it is quite obvious that AI community action is required to redefine the AI research efforts, methods, the realign the funding, to advise the research strategies of the global companies that are biggest AI investors, to give sound advise to the governmental funding agencies. The question is – is there such AI community action, panel of researchers, action by the leading professional societies or NGOs which can guarantee the survival of AI during the next economic crisis and which could prevent the second (and maybe final) AI winter. Is there such action?

This question is in the name of the happy future of humanity.