7.3 Data Governance (Governance of Networked Data)

Class Description (KS Park)

- what is meant by networked data

- platforms and intermediary liability

- hyper-linking and various data transfer restriction laws

- search engines and various data transfer restriction laws

- jurisdictions of various disputes on a global network (data localization and MLAT)

Remark: 2017 APSIG covers Data Governance with a 90-minutes class, and a 30-minutes case studies;

- 7.2 Data Governance by KS Park

- Case Studies on Data Governance; multinational corporations (Google), government (India/Dr.Govind)

Class Description (AB Munir):

1. Internet governance of data at service providers (domestic, overseas)

2. Safe Harbor and its global implication including Asia Pacific

3. Cooperation between EU and Asia Pacific

4. Other legal, political and governance issues

5. Case studies

Class Description (IT for Change)

We live in an age where data is the new oil. Our data traces -- digital shadows of ourselves, and the mining and manipulating of such data doubles has

become the fuel on which the platform economy runs. In the new data regime, many have pointed to the unholy nexus between big business and

governments, the rise of what has been termed the 'network-data complex'. The anxiety around this has seen ideas and advocates for plugging

loopholes in existing privacy frameworks, with many rallying around the demand for more effective data protection legislation. But if the governance of

networked data is to be reduced entirely to privacy, there are many crucial concerns that we lose sight of, such as concerns stemming from an

increasing reliance on centralised, algorithmic decision-making by state agencies, and fencing-in/ enclosure of the data commons by big business that

restricts public interest re-use of data sets.

This lecture will push the boundaries of the debate on data governance beyond privacy and surveillance, by teasing out the critical concerns for

democracy that the emerging data regime around us is opening up; and highlight lacunae in existing policy frameworks.

Class Description (Royal Society and British Academy, UK; Hall and Pesenti)

A set of high-level principles is needed to visibly shape all forms of data gvoernance and ensure trustworthiness and trust in the management of

and use of data as a whole.

4 Principles;

- protect individual and collective rights and interests

- ensure the trade-offs affected by data management and data use are made transparently, accountably, and inclujsively.

- seek out good practices and learn from success and failure

- enhance existing democratic governance

3 Functions;

- Anticipate, monitor and ealuate

- Build practices and set standards