Syllabus - Social Implications of Big Data

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General Objectives

The social implications of big data can be considered as being beneficial or challenging to a variety of stakeholders. Business entities continually strive toward using big data for services planning and dimensioning, while government agencies seek open data initiatives that unlock the potential of big citizen datasets encouraging businesses to continually innovate. 

Big data innovations should be applied and deployed responsibly by: respecting consumer data rights including privacy and security by design principles; creating robust data governance models that bring into question how and why certain data is collected and archived; and finally, looking at the potential effects of big data on society at large.

This class is organized around the interrogation of open big data sets across vertical sectors, within a contextual legal framework, namely, the General Data Protection Regulation. It challenges current and future business professionals to develop nuanced approaches and frameworks to the management and use of big data commons toward solving real world problems.

Course Intended Learning Outcomes

CILO 1: Describe the social implications of big data using real-world cases

CILO 2: Analyse open big datasets in diverse vertical sectors with an ability to identify privacy and security issues

CILO 3: Apply legal frameworks, like the GDPR, in the context of big data applications in business and government

CILO 4: Create nuanced frameworks and approaches for the management of big data commons for social good

CILO 5: Identify the impact of emerging technologies on big data governance to minimise risks and maximise benefits

Course Contents

The class made up of five chapters.

1.      Concepts in the social implications of technology

2.      Privacy and security by design principles in the construction of big datasets and systems

3.      The General Data Protection Regulation and its application to big data for business professionals

4.      Big data commons for the social goal, incorporating sustainable development goals

5. Big data governance and the roles and responsibilities of data stewards

Navigating the Syllabus with Online Resources

Course Intended Learning Outcomes

CILO 1: Describe the social implications of big data using real-world cases

http://www.katinamichael.com/big-data-implications/2019/2/3/social-order-in-the-age-of-big-data

https://rusi.org/sites/default/files/201709_rusi_big_data_and_policing_babuta_web.pdf

http://www.katinamichael.com/big-data-implications/2019/2/3/big-data-analytics-and-technologys-impact-on-society

http://www.katinamichael.com/big-data-implications/2019/2/3/case-big-data-and-shoppers

http://www.katinamichael.com/big-data-implications/2019/2/3/case-psychometrics-big-data-and-microtargetting

http://www.katinamichael.com/documentary/2018/3/22/facebook-and-cambridge-analytica-data-breach-and-misuse

CILO 2: Analyse open big datasets in diverse vertical sectors with an ability to identify privacy and security issues

https://registry.opendata.aws/

http://www.open-bigdata.com/category/big-data-datasets-experiment/

https://www.kdnuggets.com/2017/12/big-data-free-sources.html

https://www.datasciencecentral.com/profiles/blogs/big-data-sets-available-for-free

https://github.com/awesomedata/awesome-public-datasets

https://www.kaggle.com/datasets

https://www.forbes.com/sites/bernardmarr/2016/02/12/big-data-35-brilliant-and-free-data-sources-for-2016/#762eb79eb54d

CILO 3: Apply legal frameworks, like the GDPR, in the context of big data applications in business and government

Big data and privacy by design

http://www.katinamichael.com/big-data-implications/2019/2/3/7-foundational-principles-of-privacy-by-design

Big data and policing

http://www.katinamichael.com/big-data-implications/2019/2/3/ibm-commercial-police-use-analytics-to-reduce-crime

http://www.katinamichael.com/big-data-implications/2019/2/3/whitney-merrill-predicting-crime-in-a-big-data-world

http://www.katinamichael.com/big-data-implications/2019/2/3/policing-profiling-and-human-rights-in-the-age-of-big-data-dc

http://www.katinamichael.com/big-data-implications/2019/2/3/big-data-and-policing-an-assessment-of-law-enforcement-requirements-and-expectations

http://www.katinamichael.com/big-data-implications/2019/2/3/big-data-policing-changing-the-force

http://www.katinamichael.com/big-data-implications/2019/2/3/the-rise-of-big-data-in-policing

CILO 4: Create nuanced frameworks and approaches for the management of big data commons for social good

http://www.katinamichael.com/big-data-implications/2019/2/3/big-data-and-social-media

http://www.katinamichael.com/big-data-implications/2019/2/3/ibm-research-accelerating-discovery-medical-image-analysis

http://www.katinamichael.com/big-data-implications/2019/2/3/ibm-research-accelerated-discovery-lab

CILO 5: Identify the impact of emerging technologies on big data governance to minimise risks and maximise benefits

Driverless vehicles and big data

http://www.katinamichael.com/big-data-implications/2019/2/3/google-x-leveraging-data-and-algorithms-for-self-driving-cars

http://www.katinamichael.com/big-data-implications/2019/2/3/connected-car-big-data-vision

Ethics of biomedical data

http://www.katinamichael.com/big-data-implications/2019/2/3/ethics-of-biomedical-big-data

http://www.katinamichael.com/big-data-implications/2019/2/3/considerations-for-ethics-review-of-big-data-health-research-a-scoping-review

Course Contents

The class made up of five chapters.

1.      Concepts in the social implications of technology

Big data and biodiversity science

http://www.katinamichael.com/big-data-implications/2019/2/3/big-data-and-the-linkage-of-federal-data-resources-for-biodiversity-science

https://www.forbes.com/sites/oreillymedia/2014/03/28/whats-up-with-big-data-ethics/#808932735913

2.      Privacy and security by design principles in the construction of big datasets and systems

Privacy by Design

http://www.katinamichael.com/big-data-implications/2019/2/3/pbd-by-ann-cavoukian-ontario-privacy-commissioner

http://www.katinamichael.com/big-data-implications/2019/2/3/privacy-by-design-now-the-secret

Engineering Privacy by Design

http://www.katinamichael.com/big-data-implications/2019/2/3/engineering-privacy-by-design

Big Data Security and Privacy

http://www.katinamichael.com/big-data-implications/2019/2/3/nist-big-data-public-working-group

3.      The General Data Protection Regulation and its application to big data for business professionals

Big data and the GDPR

http://www.katinamichael.com/big-data-implications/2019/2/3/big-data-big-responsibility

http://www.katinamichael.com/big-data-implications/2019/2/3/location-tracking-using-beacons-at-shopping-centres

http://www.katinamichael.com/big-data-implications/2019/2/3/case-location-data-issues-and-consumer-privacy

http://www.katinamichael.com/big-data-implications/2019/2/3/case-big-data-and-fitness-trackers

http://www.katinamichael.com/big-data-implications/2019/2/3/uberveillance-and-big-data-consumer-tracking

https://www.eesc.europa.eu/resources/docs/qe-02-17-159-en-n.pdf

http://www.katinamichael.com/big-data-implications/2019/2/3/will-gdpr-kill-the-third-party-data-market

http://www.katinamichael.com/big-data-implications/2019/2/3/how-gdpr-is-affecting-big-data-ethics

http://www.katinamichael.com/big-data-implications/2019/2/3/what-gdpr-fines-mean-for-big-data-analytics

4.      Big data commons for the social goal, incorporating sustainable development goals

https://www.gapminder.org/tools/#$chart-type=bubbles

https://www.gapminder.org/data/

https://www.ukdataservice.ac.uk/media/604711/big-data-and-data-sharing_ethical-issues.pdf

http://www.katinamichael.com/documentary/2018/11/28/privacy-and-the-importance-of-trust-module-91-for-sdg-academys-tech-for-good

http://www.katinamichael.com/documentary/2018/11/29/knowing-your-data-rights-module-92-for-sdg-academys-tech-for-good

http://www.katinamichael.com/documentary/2018/11/30/cybersecurity-module-93-for-sdg-academys-tech-for-good

http://www.katinamichael.com/documentary/2018/12/7/tech-for-good-sdgacademy

5. Big data governance and the roles and responsibilities of data stewards

The ethics of big data

http://www.katinamichael.com/big-data-implications/2019/2/3/5-principles-for-big-data-ethics

http://www.katinamichael.com/big-data-implications/2019/2/3/global-ethics-forum-the-ethics-of-big-data-with-danah-boyd

http://www.katinamichael.com/big-data-implications/2019/2/3/ethical-insights-in-big-data

http://www.katinamichael.com/big-data-implications/2019/2/3/big-data-ethics

Class Activities

Day 1

Definitions

http://www.katinamichael.com/big-data-implications/2019/2/3/big-data-key-definitions

Opportunities and Challenges

http://www.katinamichael.com/big-data-implications/2019/2/3/big-data-special-issue-in-computer-michael-and-miller

https://www.rss.org.uk/Images/PDF/influencing-change/2016/rss-report-opps-and-ethics-of-big-data-feb-2016.pdf

http://www.katinamichael.com/big-data-implications/2019/2/3/mits-livinglab-a-testbed-for-data-innovation

Big data and policing

http://www.katinamichael.com/big-data-implications/2019/2/3/big-data-and-policing

http://www.katinamichael.com/public-speaking/2018/11/15/rethinking-law-and-order-data-alive-workshop

Big data impact in health

http://www.katinamichael.com/big-data-implications/2019/2/3/big-data-challenges-and-opportunities-for-human-health

http://www.katinamichael.com/media/2019/1/31/industry-calls-for-more-caution-over-mhr-system

Day 2

Big data for biodiversity

http://www.katinamichael.com/big-data-implications/2019/2/3/big-data-for-biodiversity-australia

http://www.katinamichael.com/big-data-implications/2019/2/3/big-data-open-data-and-biodiversity

http://www.katinamichael.com/big-data-implications/2019/2/3/driving-ecology-with-big-data-analytics

Day 3

AI and big data, health and ethics

http://www.katinamichael.com/big-data-implications/2019/2/3/big-data-artificial-intelligence-machine-learning-and-data-protection

http://www.katinamichael.com/big-data-implications/2019/2/3/oreilly-webcast-an-introduction-to-ethics-of-big-data

http://www.katinamichael.com/big-data-implications/2019/2/3/ai-big-data-health-and-ethics

http://www.katinamichael.com/big-data-implications/2019/2/3/ethics-and-big-data-uctv

https://www.oreilly.com/library/view/ethics-of-big/9781449314873/ch01.html

http://www.katinamichael.com/big-data-implications/2019/2/3/ethical-issues-in-the-big-data-industry

Day 4

Big Data and Crowdsourcing

http://www.katinamichael.com/big-data-implications/2019/2/3/case-gopros-as-big-data-gatherers

http://www.katinamichael.com/documentary/2013/9/13/no-limits-to-watching

https://www.youtube.com/watch?v=yyPKrzK7VXI (K5)

https://petabencana.id/ and https://petajakarta.org/banjir/en/data/index.html

China’s Social Rating System and Population Movements:

http://www.katinamichael.com/big-data-implications/2019/2/3/human-rights-and-information-technology-in-the-era-of-big-data

http://www.katinamichael.com/big-data-implications/2019/2/3/chinas-concentration-camps-in-east-turkistan

http://www.katinamichael.com/big-data-implications/2019/2/3/chinas-mass-incarceration-of-turkic-muslims

http://www.katinamichael.com/big-data-implications/2019/2/3/social-credit-scores-in-china

http://www.katinamichael.com/big-data-implications/2019/2/3/exposing-chinas-digital-dystopian-dictatorship-foreign-correspondent

Assignment 1

Name *
Name
List the keywords here...
Please include a web site address for this case.

Assignment 2

Name *
Name
In terms of the future of big data, what is the most important aspect to you? Choose only ONE item from the options below. *
Tick the dimensions that affect public trust most. *
Multiple boxes are valid.
We should collect every piece of data possible to help achieve big data hopes for a better future? *

Assignment 3

Instructions for group activity.

  1. Self-organise into a group of 3

  2. Find a common interest area in a given discipline. This might be the field you work in; an area you’ve been reflecting on recently; or what you think is the most pressing application area of big data today.

  3. Search for an online data set. It might be one from the following web sites:

https://registry.opendata.aws/

http://www.open-bigdata.com/category/big-data-datasets-experiment/

https://www.kdnuggets.com/2017/12/big-data-free-sources.html

https://www.datasciencecentral.com/profiles/blogs/big-data-sets-available-for-free

https://github.com/awesomedata/awesome-public-datasets

https://www.kaggle.com/datasets

https://www.forbes.com/sites/bernardmarr/2016/02/12/big-data-35-brilliant-and-free-data-sources-for-2016/#762eb79eb54d


Now interrogate a piece of legislation from your home country related to privacy. For example, if you are an Australian, you might wish to investigate the Australian Privacy Principles underlying the Australian Privacy Act.

While the APPs are not prescriptive, each APP entity needs to consider how the principles apply to its own situation. The principles cover:

the open and transparent management of personal information including having a privacy policy

an individual having the option of transacting anonymously or using a pseudonym where practicable

the collection of solicited personal information and receipt of unsolicited personal information including giving notice about collection

how personal information can be used and disclosed (including overseas)

maintaining the quality of personal information

keeping personal information secure

right for individuals to access and correct their personal information

There are also separate APPs that deal with the use and disclosure of personal information for the purpose of direct marketing (APP 7), cross-border disclosure of personal information (APP 8) and the adoption, use and disclosure of government related identifiers (APP 9).

Sensitive information

The APPs place more stringent obligations on APP entities when they handle ‘sensitive information’. Sensitive information is a type of personal information and includes information about an individual's:

health (including predictive genetic information)

racial or ethnic origin

political opinions

membership of a political association, professional or trade association or trade union

religious beliefs or affiliations

philosophical beliefs

sexual orientation or practices

criminal record

biometric information that is to be used for certain purposes

biometric templates.

Source: https://cloud.netlifyusercontent.com/assets/344dbf88-fdf9-42bb-adb4-46f01eedd629/99b4bd3b-ab56-45d6-89dd-b6b9928a3dc2/privacy-by-design-800.png

Source: https://cloud.netlifyusercontent.com/assets/344dbf88-fdf9-42bb-adb4-46f01eedd629/99b4bd3b-ab56-45d6-89dd-b6b9928a3dc2/privacy-by-design-800.png


Fill out the following questions in a group. One for each group.

What kinds of data does your group consider as sensitive? *
You can tick as many options as you wish.

Assignment 4

Privacy by Design is a concept Dr. Ann Cavoukian developed back in the 90’s, to address the ever-growing and systemic effects of Information and Communication Technologies, and of large-scale networked data systems. Privacy by Design extends to a trilogy of encompassing applications: (1) IT systems; (2) accountable business practices; and (3) networked infrastructure. Visit here for more: https://www.ryerson.ca/pbdce/certification/seven-foundational-principles-of-privacy-by-design/

Activity

Visit this document on Privacy by Design (PbD): https://iab.org/wp-content/IAB-uploads/2011/03/fred_carter.pdf

The 7 foundational principles of PbD are:

1. Proactive not Reactive

2. Privacy as the Default

3. Privacy Embedded into Design

4. Full Functionality – Positive-Sum, not Zero-Sum

5. End-to-End Security – Lifecycle Protection

6. Visibility and Transparency

7. Respect for User Privacy

Source: https://termsfeed.com/blog/wp-content/uploads/2016/11/privacy-by-design-foundation-principles-circle.jpg

Source: https://termsfeed.com/blog/wp-content/uploads/2016/11/privacy-by-design-foundation-principles-circle.jpg


Fill out the following form.

Name *
Name
Is there a relationship between the GDPR and Privacy by Design? *
Hint. You can visit: https://gdpr-info.eu/art-25-gdpr/
Check appropriate policies that an organisation can follow to implement data protection by design and default.
Hint. Visit: https://ico.org.uk/for-organisations/guide-to-data-protection/guide-to-the-general-data-protection-regulation-gdpr/accountability-and-governance/data-protection-by-design-and-default/

Assignment 5

Study: Big Data Governance Frameworks for ‘Data Revolution for Sustainable Development’ here.

Source: https://globalgoals.scot/wp-content/uploads/2017/05/global-goals-full-icons.png__2318x1180_q85_crop_subsampling-2_upscale.jpg

Source: https://globalgoals.scot/wp-content/uploads/2017/05/global-goals-full-icons.png__2318x1180_q85_crop_subsampling-2_upscale.jpg

Global Challenges Activity

Form groups of 2.

Faculty to allocate each pair an individual sustainable goal (one of the seventeen).

Skim read “How can we support sustainable development in the digital era” here.

We will watch the following as a group: https://vimeo.com/288621991

  1. Draw a mindmap on a piece of paper. How might big data help achieve the SDGs?

  2. Take a picture of your mindmap and submit to katinamichael1@gmail.com.

  3. Consider the dual-use of technology. Watch this short film that was part of the Tech for Good course produced by the SDGAcademy.

Assignment 6

How might emerging technologies such as AI, blockchain and IOT, affect the prospects of big data?

Name *
Name
Hint: visit http://www.datagovernance.com/wp-content/uploads/2014/11/dgi_framework.pdf