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




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




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