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Voltar para Computational Social Science Capstone Project

Comentários e feedback de alunos de Computational Social Science Capstone Project da instituição Universidade da Califórnia, Davis

4.6
estrelas
26 classificações
9 avaliações

Sobre o curso

CONGRATULATIONS! Not only did you accomplish to finish our intellectual tour de force, but, by now, you also already have all required skills to execute a comprehensive multi-method workflow of computational social science. We will put these skills to work in this final integrative lab, where we are bringing it all together. We scrape data from a social media site (drawing on the skills obtained in the 1st course of this specialization). We then analyze the collected data by visualizing the resulting networks (building on the skills obtained in the 3rd course). We analyze some key aspects of it in depth, using machine learning powered natural language processing (putting to work the insights obtained during the 2nd course). Finally, we use a computer simulation model to explore possible generative mechanism and scrutinize aspects that we did not find in our empirical reality, but that help us to improve this aspect of society (drawing on the skills obtained during the 4th course of this specialization). The result is the first glimpse at a new way of doing social science in a digital age: computational social science. Congratulations! Having done all of this yourself, you can consider yourself a fledgling computational social scientist!...

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1 — 9 de 9 Avaliações para o Computational Social Science Capstone Project

por Ben B

17 de Nov de 2020

If the theory, methods, and tools (the ones used or similar tools) are new to you, you will most likely love the specialization and the capstone. If you are familiar with parts of the theory or some of the methods and tools the specialization still offers a broad overview of the field and some interesting insights.

For the latter group (those who have some experience in the field of computational social science) the capstone might feel a bit redundant. You can do the 4 assignments in 10 to 20 minutes (because they are basically replicas of the peer-review assignments of the previous 4 courses of the specialization and very simple). You will then wait for days or weeks for peer reviews. That was a rather frustrating experience of an otherwise good specialization.

por naghma q

20 de Abr de 2020

A very interesting and well designed course to begin with while setting on the journey of computational social science. Hands-on labs / assignments gave sufficient exposure as well as skill building experience on various softwares and techniques.

por Andrew O

8 de Ago de 2020

Well done to Prof. Hilbert for putting together a wonderful course. One thing I found is how hard it is to counter fake news from the artificial simulations. Shows how true the old saying is, when a lie (or advertisement) is repeated enough times, people start to believe it. That is the power of the media.

I am keen to explore the potential of these tools further.

One potential drawback is the stereo typing of individuals based on big data personality assessment. People can change overtime and not only that, the use of language can alter too. So the assumptions underlying the construction of natural language assessment may need to be reviewed to stay relevant.

Do I now have experience with computational science? Yeah I believe I do. Thank you very much.

por Aritra H

8 de Jun de 2020

Dr. Hilbert is a fantastic lecturer and educator! I sincerely hope he continues developing and delivering new courses like this in coming days. The specialization opened up worlds of new ideas to me. Highly recommended!

por Mina S

13 de Set de 2021

Thank you for offering this course. It is one of the best courses and specializations I'd taken on Coursera. Well organized and interesting. I've learnt a lot and am looking forward to applying all the skills in the future. Best!

por Loo C

3 de Out de 2021

This capstone project provide the opportunity to revisit previous learning. It provide a path way to integrate and strengthen the whole learning process in this specialization into a single integrated course.

por Miguel C

22 de Set de 2020

What a great way of integrating all we learned throughout the specialization!

por Patricio V

7 de Mai de 2021

Finally all your work paid off, is simply amazing. Thanks

por Hanchao H

27 de Jul de 2021

long time to wait for a peer review