uchicago-computation-workshop / Winter2020

Repository for the Winter 2020 Computational Social Science Workshop
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03/06: Youn #7

Open jmausolf opened 4 years ago

jmausolf commented 4 years ago

Comment below with questions or thoughts about the reading for this week's workshop.

Please make your comments by Thursday 11:59 PM, and upvote at least five of your peers' comments on Friday prior to the workshop. You need to use 'thumbs-up' for your reactions to count towards 'top comments,' but you can use other emojis on top of the thumbs up.

bhargavvader commented 4 years ago

Hey Hyejin, excited you are here - I am not sure if you remember, but we met last summer at the Santa Fe Institute when you came to speak about linguistic change - we also chatted about a project with @bakerwho and other students at the school, where we talked about linguistic associations with color. Your work intuitively feels right too - I also feel like I get more work done when I can meet my collaborators often. I have the same intuition that more common meeting areas within cities, such as coffee shops, libraries, and art spaces help in fostering innovation. I am currently working on a project with Prof. Evans and Prof. Bettencourt where we are analysing the research-teaching-jobs nexus across American cities and I'm wondering if similar patterns turn up in teaching - possibly due to influence and styles rubbing off.

mingtao-gao commented 4 years ago

Thank you in advance for your presentation! It is very interesting for me to learn the model can be constructed between the tradeoffs of exploitation and exploration and how collective behaviors can naturally balance the two. My question is in terms of collaboration you mentioned in the paper, how does different ways of collaboration would affect the model? For example, what if people are not adapting to communicative devices.

jsgenan commented 4 years ago

That is an interesting question to look at! Do you think the distance cost is a fraction between different working modes? Especially we are expecting a mass "work-from-home" movement this year. Will that harm the global innovation?

fulinguo commented 4 years ago

Thank you very much for your presentation. My question is what the mechanisms are behind the findings in the paper. For example, what factors make the learning premium rise in the last 40 years? I am also curious about whether the relationship between learning through collaboration and geographic distance is limited to the academic world. Does it exist in other fields? More generally, what is the relationship between X through collaboration/communication and geographic distance, where X is the outcomes of interest? Do they have the same pattern, regardless of the X? Thanks!

skanthan95 commented 4 years ago

Thanks in advance for your presentation! I'm interested in hearing more about why geographical distance had the smallest negative impact on history, political science, and business, beyond the explanation provided about geographically localized instruments. With business in particular, I'd imagine that face to face interaction would be especially important - what are some theories for why that might not actually matter as much in this context?

Yiqing-Zh commented 4 years ago

Thank you for your presentation in advance! It is really interesting to investigate the relationship between geography and scientific learning premium from collaboration. I am wondering whether the geographical distances are correlated with other factors such as different research fields and cultures that, which leads to the result of the paper.

Yawei-Li commented 4 years ago

Thank you for sharing your knowledge with us! I found this paper deep yet interesting. Human capital are surely a topic worthy of a paper and yours is certainly a great one. I would like to know further about your methodology in analyzing those data.

anqi-hu commented 4 years ago

Thank you for sharing you work with us. Fig 2.a displays share of learning as a function of geographical distance for numerous fields of study. I couldn't help but notice that for most of these areas, the knowledge share takes a hit when the distance ranges between 1,001 and 5,000 km. I'm curious as to why that is the case. To my knowledge, within the U.S, the greatest distance within the lower 48 states is no more than 5,000 km. On that note, do you think there is a significance in some of these collaborations being international as opposed to domestic? And would it make any difference if the international collaborations are parsed from the non-local ones?

AllisonXiong commented 4 years ago

Thank you so much for sharing this inspiring research with us! It is surprising for me to know that geographical distance still somewhat segregate scholars even in this digital age. My question is, given that you take co-authorship as the main index in your research, how can you quantify and consider the social network within scholars?

minminfly68 commented 4 years ago

Thank you for sharing your work with us! I was wondering the trade-off between the gains of learning and the loss of focusing in one area. Can you elaborate more on this?

nswxin commented 4 years ago

Thank you for sharing your work! Since we are students from the Computational Social Science program, can you please provide some insights on the cross-disciplinary of computer science and social science? That would be super exciting!

adarshmathew commented 4 years ago

Thank you for your presentation. Overlaying a spatial component to citation/collaboration networks seems like a fascinating idea.

A few questions:

  1. How does your sampling strategy work with multiple collaborating authors on the same paper? Do you look at all possible tuples and then construct the three-paper sequence?
  2. How do you situate your results in the life-cycle of an academic?
    • Do you expect more diverse networks early on because early researchers tap into networks of other graduate students + collaborators from that institution?
    • Is there a pressure to collaborate more intensely with faculty from your local institution because of tenure-track considerations? Is this also why the impact of local collaboration is much lower for late-stage researchers?
    • Is there a gendered component to collaboration?

PS: Thank you @wanitchayap for raising the gender-imbalance of our workshop speakers!

yalingtsui commented 4 years ago

Thank you for your presenting. Could you please tell something about the limitation of the model?

cytwill commented 4 years ago

Thank you for the presentation! My question for this topic is that among the collaborations of multiple authors for the same paper, is it possible to analyze the contribution of each author via the network or knowledge space? Besides, I think today the role of geographical distances played in academic collaboration might become rather limited because people can work online, so could you provide other elements that could become better options to be measured in collabration?

ziwnchen commented 4 years ago

Thanks for the presentation! My question is related to other students, when exploring the relationship between geographical distance and scholar collaboration, how could you effectively control other confounders like culture, language, personal intentions, academic fields etc?

jtschoi commented 4 years ago

Thank you for the presentation. I was wondering whether you considered the geographical distance (or proximity) of research assistants or access to important laboratory equipment into consideration. Also, is there a clear difference between empirical and theoretical papers?

SixueLiu96 commented 4 years ago

Thanks a lot for your presentation! You mentioned the author's first affiliation as the geographical locations. I think this is a pretty interesting idea. Have you also considered that the author can work closely with others, like they can work together, especially for some natural science topics?

bjcliang-uchi commented 3 years ago

Thanks for your presentation! I am wondering whether you would differentiate informal connections between authors and formal associations such as certain collaboration programs and research lab affiliations.