TOPIC

      CORE READINGS

    CASE STUDIES, OTHER RESOURCES

1-W 8/24

BG slides

Intro to Course & TDO

• TDO Chapter 1

• CASE: Multigenerational photo collection (12.1)
• CASE: Dabbawalas of Mumbai (12.16)
• CASE: Data Center (12.17)

2-M 8/29

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DB slides

Design Decisions for Organizing Systems

• TDO Chapter 2

• CASE: Knowledge Management (12.2)
• CASE: Autonomous Cars (12.12)

3-W 8/31

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Activities

• TDO Chapter 3

• CASE: CalBug (12.7)
• CASE: Newspaper (12.8)
• NPR. “For a More Ordered Life, Organize Like a Chef.” 2014. 
• Computational Curation (Haber) video
• Computational Curation (Great Parchment) video

M 9/5

LABOR DAY HOLIDAY

4-W 9/7

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DB slides

Activities

• TDO Chapter 11
• Dumais et al. "Understanding User Behavior Through Log Data and Analysis" (pp. 349-352; 364-370)

• CASE: Kitchen (12.5)
• CASE: Satellites (12.6)

5-M 9/12

ALUMNI DAY

• CASE: Rail Transit (12.10)
• CASE: Neuroscience lab (12.18)

6-W 9/14

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Resources

• TDO Chapter 4
• Smith, Abby. “Authenticity in perspective.” Authenticity in a digital environment, 2000. Pages 69-75

7-M 9/19

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Data as a Resource /
I o T

• Watt et al., "Populations and Samples"
• Voida et al., "Sensor Data Streams"

• CASE: Smart Farm (12.3)
• CASE:  CODIS DNA Database (12.9)

8-W 9/21

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Resource Description 1

• TDO Chapter 5, 5.1- 5.3
• TDO Chapter 9, 9.1- 9.2.1

• CASE: IP Addresses (12.13)
• CASE: Nonprofit Book Publisher (12.19)
• Doctorow, Cory. “Metacrap,” 2001. 

9-M 9/26

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Describing Non-Text Resources

• TDO Chapter 5 remainder (read the PRO version here)
• Harpring, Patricia. “The language of images: enhancing access to images by applying metadata schemas and structured vocabularies.” Introduction to Art Image Access: Issues, Tools, Standards and Strategies, 2002. 

• CASE: Art Genome (12.14)
• CASE: Documentary Film (12.15)
• Graham Freeman lecture on 'Music as an Organizing System

10-W 9/28

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Features as Resource Descriptions

• Watt et al., "Measurement"

11-M 10/3

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Relationships and Structures

• TDO Sections 6.1- 6.4, 6.7

12-W 10/5

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Document Structure and XML

• TDO Section 6.5-6.7

• Glushko, Robert and McGrath, Tim. Document Engineering, Chapter 2, "XML Foundations"
• Recommended Tool for Working with XML Resource Descriptions is XML Spy (Ask for the Academic License Key )

13-M 10/10

BG slides

Semantic Web

• TDO Section 6.8
• Berners-Lee, Tim, et al. “The semantic web.” Scientific American, 2001. 
• Heath, Tom and Bizer, Christian. “Linked data: Evolving the web into a global data space.” 2011. Chapters 1 and 2, pages 1-29. 

14-W 10/12

DB slides

Structure Between Data Points

• Hansen and Smith, Social Network Analysis in HCI

15-M 10/17

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Structure Between Data Sources

• Naumann and Herschel, An Introduction to Duplicate Detection, Chapter 1
• Acquisti and Gross, Predicting Social Security numbers from public data

16-W 10/19

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Categorization

• TDO Chapter 7.1-7.4

• Boroditsky, Lera. “Lost in Translation ” Wall Street Journal, 2010.

17-M 10/24

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Categorization and Computational Classification

• TDO Section 7.5
• Tan et al. (2006), Cluster Analysis: Basic Concepts and Algorithms, Intro to Data Mining; sections 8.0-8.3; 8.5

18-W 10/26

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Classification

• TDO Sections 8.1-8.3

• Hoyt, Clark. “Semantic minefields.” NYT, 2010. 

19-M 10/31

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Classification and Standardization; Businesses as Organizing Systems

• TDO 8.1.5, "Classification and Standardization"
• Rosenthal, Arnon, et al. “From semantic integration to semantics management: case studies and a way forward.” ACM SIGMOD Record, 2004. 
• Glushko, R.J, and McGrath, T. "Describing what Businesses do and how they do it", Chapter 4 of Document Engineering   (Sections 4.1-4.2, pages 101-127).

• Glushko, R.J, and McGrath, T. "How Models and Patterns Evolve", Chapter 5 of Document Engineering

20-W 11/2

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Classification and User Interactions

• TDO 8.4 and 8.5
• Hearst, Marti. Search User Interfaces, 2009. Chapter 8, Integrating Navigation with Search, Sections 8.1, 8.2, 8.6 
• Johnson, Eric J., et al. "Beyond nudges: Tools of a choice architecture." Marketing Letters 23.2 (2012): 487-504.

• Norman, D. A. (2006). Logic versus usage: the case for activity-centered design. Interactions, 13(6), 45-ff.

21-M 11/7

Computational Classification 1

• TDO 8.6
• Tan et al. (2006), Classification: Basic Concepts, Decision Trees, and Model Evaluation, Intro to Data Mining (through section 4.4.2)

22-W 11/9

Computational Classification (2)

Downey (2012), "Bayes' Theorem" (chapter 1),

23-M 11/14

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Interactions

• TDO 10

24-W 11/16

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Inference and Testing as Interactions

• Kass et al. (2016), Ten Simple Rules for Effective Statistical Practice

25-M 11/21

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Prediction and Recommendation as Interactions

• Ullman et al (2014), Recommendation systems, Mining of Massive Datasets (pp. 307-328)

W 11/23

THANKSGIVING WEEK HOLIDAY

26-M 11/28

Slides

Case Study Presentations

27-W 11/30

Slides

Case Study Presentations

28 W 12/7

Slides

COURSE WRAP-UP; REVIEW FOR FINAL EXAM

• re-read TDO Chapter 11(from 9/7)

M 12/12

FINAL EXAM