HCDS (Fall 2017)/Schedule

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Last updated on 08/08/2018 by Jtmorgan


Week 1: September 28

Day 1 plan

Assignments due
Agenda
  • Course overview & orientation
  • What do we mean by "data science?"
  • What do we mean by "human centered?"
  • How does human centered design relate to data science?


Readings assigned
Homework assigned
  • Reading reflection
Resources




Week 2: October 5

Day 2 plan

Legal and ethical considerations in data collection
licensing and terms of use; informed consent and user expectations; limits of anonymization
Assignments due
  • Week 1 reading reflection
Agenda
  • Informed consent in the age of Data Science
  • Privacy
    • User expectations
    • Inferred information
    • Correlation
  • Anonymisation strategies


Readings assigned


Homework assigned


Resources

National Commission for the Protection of Human Subjects of Biomedical and Behavioral Research. The Belmont Report. U.S. Department of Health and Human Services, 1979.



Week 3: October 12

Day 3 plan

Data provenance, preparation, and reproducibility
data curation, preservation, documentation, and archiving; best practices for open scientific research
Assignments due
Agenda
  • Final project overview
  • Introduction to open research
  • Understanding data licensing and attribution
  • Supporting replicability and reproducibility
  • Making your research and data accessible
  • Working with Wikipedia datasets
  • Assignment 1 description


Homework
Resources
  • go here




Week 4: October 19

Day 4 plan

Study design
understanding your data; framing research questions; planning your study


Assignments due


Agenda
  • How Wikipedia works (and how it doesn't)
  • guest speaker: Morten Warnke-Wang, Wikimedia Foundation
  • Sources of bias in data science research
  • Sources of bias in Wikipedia data


Homework


Resources




Week 5: October 26

Day 5 plan

Machine learning
ethical AI, algorithmic transparency, societal implications of machine learning
Assignments due
Agenda
  • Social implications of machine learning
  • Consequences of algorithmic bias
  • Sources of algorithmic bias
  • Addressing algorithmic bias
  • Auditing algorithms


Homework


Resources




Week 6: November 2

Day 6 plan

Mixed-methods research
Big data vs thick data; qualitative research in data science


Assignments due


Agenda
  • Guest speakers: Aaron Halfaker, Caroline Sinders (Wikimedia Foundation)
  • Mixed methods research
  • Ethnographic methods in data science
  • Project plan brainstorm/Q&A session


Homework


Resources




Week 7: November 9

Day 7 plan

Human computation
ethics of crowdwork, crowdsourcing methodologies for analysis, design, and evaluation


Assignments due


Agenda
  • the role of qualitative research in human centered data science
  • scaling qualitative research through crowdsourcing
  • types of crowdwork
  • ethical and practical considerations for crowdwork
  • Introduction to assignment 4: Mechanical Turk ethnography


Resources
  • go here




Week 8: November 16

Day 8 plan

User experience and big data
prototyping and user testing; benchmarking and iterative evaluation; UI design for data science


Assignments due
Agenda
  • HCD process in the design of data-driven applications
  • understanding user needs, user intent, and context of use in recommender system design
  • trust, empowerment, and seamful design
  • HCD in data analysis and visualization
  • final project lightning feedback sessions


Resources




Week 9: November 23

Day 9 plan

Human-centered data science in the wild
community data science; data science for social good


Agenda
  • NO CLASS - work on your own


Resources




Week 10: November 30

Day 10 plan

Communicating methods, results, and implications
translating for non-data scientists


Assignments due
Agenda
  • communicating about your research effectively and honestly to different audiences
  • publishing your research openly
  • disseminating your research
  • final project workshop


Resources
  • one




Week 11: December 7

Day 11 plan

Future of human centered data science
case studies from research, industry, and policy; final presentations


Assignments due



Agenda
  • future directions of of human centered data science
  • final presentations


Resources
  • one




Week 12: December 14

FINALS WEEK - NO CLASS - ALL ASSIGNMENTS DUE BY TBA