Week #1 (8/25): Course Overview & Team Formation
Week #1 (8/25): Course Overview & Team Formation
Lecture: intro, what-is-research
DUE (12/5): Create a google doc for your "course diary" and give me/TA the access permit to view. Detailed direction is in the Canvas Assignment #1. Actual due for your diary is the end of semester.
DUE (12/5): (Optional) Create your personal website using any platform. Detailed direction is in the Canvas Assignment #2.
DUE Today: Find out about your team members, post a team introduction, one post per team, to the Discussion folder in the Canvas.
Team discussion
Week #2 (9/1) : Labor Day (NO CLASS)
Week #3 (9/8): Research Ethics, Dubious Science, and Generative AI
Skim through the following articles
Scientific Articles Accepted (Personal Checks, Too), NY Times 2015
Call That Gibberish?, ACM Queue 2005
Oracle, Where Shall I Submit My Papers?, CACM 2009
Lecture: ethics, bad-science, genAI
DUE (9/22): Pick one paper to present and two papers to critique. First presentation begins from 9/29.
Week #4 (9/15) : Research Worldviews
DUE (9/22): Pick one paper to present and two papers to critique. First presentation begins from 9/29.
DUE (9/22): Reflection Paper #1 (Comparing Worldviews)
Week #5 (9/22) : Research Methods
Read: Creswell & Creswell Ch 8-10
Lecture: research-methods, scholarly-paper
DUE (9/29): Scholarly Paper #1 (Title & Abstract)
Week #6 (9/29): Data Science and Artificial Intelligence (DS&AI)
Read: Badillo, S., Banfai, B., Birzele, F., Davydov, I. I., Hutchinson, L., Kam‐Thong, T., ... & Zhang, J. D. (2020). An introduction to machine learning. Clinical pharmacology & therapeutics, 107(4), 871-885
Lecture: overview
PRESENTERS: Upload your presentation slide, titled as your-name.ppt|pdf to here
Logistics:
For each week going forward: if you are either presenting or critiquing, you don’t need to do extra reading (since you are already expected to read one paper). Otherwise, please read at least one paper from the week and post your own summary in your “research diary.”
For those critiquing: instead of listing all the pros and cons you noticed, frame your findings as 1–2 questions you would ask the presenter at a conference. If your main question has already been raised by others, ask your next best question.
For the presenter: take the role of the paper’s author and provide the best possible “defense” in response to the question.
Week #7 (10/6): Examples of DS&AI Research
DUE (10/20): Scholarly Paper #1 (Introduction)
DUE (today): team discussion
Week #8 (10/13): Human-Computer Interaction (HCI)
Read: Olson, G. M., & Olson, J. S. (2003). Psychological aspects of the human use of computing. Annual. Review of Psychology, 54, 491-516
Week #9 (10/20): Examples of HCI Research
Week #10 (10/27) : Instructor Traveling (NO CLASS)
Week #11 (11/3): Privacy and Security (P&S)
Read: Chanal, P. M., & Kakkasageri, M. S. (2020). Security and privacy in IOT: a survey. Wireless Personal Communications, 115(2), 1667-1693
Week #12 (11/10): Examples of P&S Research
Week #13 (11/17): Social & Organizational Informatics (SOI)
Read: Smutny, Z., & Vehovar, V. (2020). Social informatics research: Schools of thought, methodological basis, and thematic conceptualization. Journal of the Association for Information Science and Technology, 71(5), 529-539
Week #14 (11/24): THANKSGIVING (NO CLASS)
Week #15 (12/1): Examples of SOI Research
Week #16 (12/8): The Poster Show