1st Session- Introduction & Overview
This session we deal with the following questions: I. Why Computational Social Science (CSS) now? II. What does Computational Social Science cover? III. What are examples of Computational Social Science? |
This session's tasks consist of 2 activities and one voluntary one:
1- Lecture: Watch the following lectures and answer the interactive questions (they are graded). You are expected to take your own notes to prepare for the exams. For this it will be useful having the lecture slides ready (feel free to print them out - this allows you to put your notes into context and save time!)
1slidePerPage_UCCSS_1stIntro_Hilbert.pdf Download 1slidePerPage_UCCSS_1stIntro_Hilbert.pdf
3slidesPerPage_UCCSS_1stIntro_Hilbert.pdf Download 3slidesPerPage_UCCSS_1stIntro_Hilbert.pdf
I. Why Computational Social Science (CSS) now?
UCCSS 1-01: Welcome to UCCSS! (4min)
UCCSS 1-02: The Digital Revolution (14min)
UCCSS 1-03: First Ever UC-wide Online Course (2min)
UCCSS 1-04: A Very Short History of Science (6min)
UCCSS 1-05: A Very Simplistic Hierarchy of Science (5min)
UCCSS 1-06: Social Emergence (19min)
II. What does Computational Social Science cover?
UCCSS 1-07: The Scientific Method Revisited (13min)
UCCSS 1-08: Limitations of Induction & Deduction (15min)
UCCSS 1-09: Glass of Red Wine Theorizing (6min)
UCCSS 1-10: Social Science Challenges (7min)
III. What are examples of Computational Social Science?
UCCSS 1-11: Overview Big Data (10min)
UCCSS 1-12: Overview Social Networks (10min)
UCCSS 1-13: Overview Artificial intelligence (18min)
UCCSS 1-14: Overview Computer Simulations (11min)
UCCSS 1-15: Final Reflections (14min)
Course Logistics & Study Recommendations:
UCCSS 1-xyz: Course Logistics & Study Recommendations (12 + 7 + 24 min)
(total 3h 13min)
2- Lab:
As outlined in the syllabus, 30 % of the final grade will come from interactive lab assignments. The different assignments have different weight, length, groups work settings, and content. This week's interactive assignment is two fold:
- Syllabus Questions: In order to answer these questions you need to read the Course Syllabus.
Successful completion of this quiz, allows you to advance to an interactive discussion. Both are graded separately, so make sure that you end up at "1st Session: Discussion" (if you get stuck in the system, go back to Assignments and look for it: it'll be enabled after successful completion of the quiz(es)).
Optional / Voluntary / Complementary:
- Salganik (2017). Bit by Bit: Social Research in the Digital Age. NJ: Princeton University Press. Read online here Links to an external site..
- Lazer, Pentland, Adamic, Aral, Barabasi, Brewer, … Van Alstyne (2009). Life in the network: the coming age of computational social science Links to an external site.. Science (New York, N.Y.), 323(5915), 721–723.
- Hilbert (2014). London: TEDxUCL; TED: ideas worth spreading, x=independently organized TED talks. Big Data requires Big Visions for Big Change
Links to an external site.
- Hilbert (2015). e-Science for Digital Development: ICT4ICT4D Links to an external site.. Centre for Development Informatics, SEED, University of Manchester.
- Hilbert, M., & López, P. (2011). The World’s Technological Capacity to Store, Communicate, and Compute Information. Science, 332(6025), 60 –65. http://www.martinhilbert.net/WorldInfoCapacity.html Links to an external site.
- John Oliver (2016)Scientific Studies: Last Week Tonight with John Oliver (HBO)
Links to an external site.