Panel- Prof. Geeta Gouri, Prof. Prabuddha Ganguli, @ananth1148 and Dr. Suchita Ninawe
Mods- @subhodeepjash & Dr. Nidhi Thakur
#AskSTIP2020Data
Prof. Gouri- Sci & Innovation policies and Data market - both interconnected. Whether publicly/privately funded public/private data market respectively, it is open to scrutiny by Competition Commission of India.
IPR is imp...
Need to be clearly stated - What is free & open non- discriminatory pricing? What is its Non- disclosure agreement?
With scientists & innovators...
On data markets, concern of privacy is there. The most imp. q of effects is on network effects.
The black box of AI & machine learning..
All such issues have to be considered to protect STI interests.Think on provision of neutrality of platform.
Anti trust issues, pro-..
Dr. Ninawe - With DNA storing huge data, genetics & genomics has grown speedily. Need strong Data infrastructure, acknowledge the diff. issues on privacy & security. 4 V's of data generation-
1. data volume-identify the amt. of data generated at one place..
2. Velocity- The tremendous pace at which data is generated.
3. Variety- diff. data is generated from diff. resources.
4. Veracity- authenticity of data generated.
To cope with all this, need strong policies, infra. & developing..
Emerging Tech like AI & Big data have reciprocal relationships.
Role of data governance is imp. & India...
Open access data is equally imp. but need to deal with other associated issues with it. Need to have a diff. framework for dealing with sensitive data.DBT is about to have a Pilot data centre
Humans- unidentify..
Plan for a National Data centre working in a hub & spoke model.
Prof. Ganguli- There is lot of S&T in labs but challenge is to translate it for commercialization- Policy should address this issue.
In research, Data is generated + used...
Regulatory frameworks for data should be facilitators rather than barriers to innovation
The issues are the contradictory provisions in various laws - systemic holistic revision reqd
Open access mgmt. is needed through policy framework.
@ananth1148 -Rich source of data is available in India but lags in methodical processes & systems development for governance..
2 diff. aspects when it comes to Data regulation- 1.approvals 2. data
India is a little confused about data protection issues..
India needs to think about its policy choices carefully. The authority needs...
In area of electronics, need to balance consumer interest with innovation. To catch the culprits, the good ones are getting restricted..
The problems in terms of data regulations that need to be discussed-
1. Problems for innovators
2. Cause intra-regulatory confusions
@subhodeepjash on online market places & Competition Commission of India..
E- commerce is about platforms coming up.There are platforms now with network effects going e.g. Swiggy.
The Q. is what do we want to look at...
The worry is, that are we well equipped to say that European Commission says this & what India follows? The fear of creating false +ves -as comp. , anti trust authority it's better to leave it alone.
How much do you allow the market to operate?
The competition authority currently is bothered about size.
For setting up policy frameworks, Govt. & WTO have to play an imp. role.
Do we go towards strict laws or consider that market has it's own logic?
@ananth1148 - when it comes to data sharing, we dont have inadequacies to compliance as far as scientific establishments & protocols go.
Prof. Gouri - We haven't got protocols in place properly which is imp. ..
Each country has to work out it's own protocols...
On data localization, everything's on cloud now.
We aren't getting to the crux of..
Nidhi asks about how to facilitate knowledge transfer between innovators & implementors w.r.t standards & patents
Prof. Ganguli- 1 we need to look across all regulatory agencies we have dealing with same sector & need to cut across silos
Need to have uniformity across diff laws by diff depts & ministries
Interoperability needs uniform standards & IPRs, accessibility are extremely imp.
Need to have a comprehensive national innovation bill
Dr. Ninawe - There diff institutes at diff levels & if uniform policy..
@subhodeepjash brings the point about non- personal data in panel
The reasons why non personal data is being talked about in personal data bill -
(Personal thoughts) It comes from a certain understanding/ conflation of understanding that if we want to really seek value out of Indian data, then there needs to be provision on Non personal data. Also the...
When data protection authority comes into the picture for personal data, its not going to really think about Non personal data & few of its unique challenges.Some Qs go beyond anonymization for
Prof. Gouri- Generally the concern is about the data generated by E- commerce platforms, hasn't gone to the data, for e.g. Public health services, national sample surveys would be having
On talking about the anti-trust issues that can crop up-
Indians are slowly realizing the concept of encroachment of privacy.
Prof. Ganguli -We can learn a few lessons from EU on the transparent use of Non, Semi personal data
Nidhi takes up an audience Q. on getting a specific measurable actionable challenging (SMAC) to the issue of data, ethics & governance.
Prof. Ganguli - (V. broad Q.) 1st part, need to bring an...
Governance- accountability & regulation aspects should be at one point bringing together diff players.
Nidhi to Prof. Ganguli on Data sharing policies by DBT, DST on access terms...
For the researchers, Govt. should look into a dialogue between policies by govt agencies + policies of journal publishing firms for a consonance.
@subhodeepjash takes up audience Q. on promoting simple language for science + exclusive right to reproduce publications of Govt. funded projects without copyright barriers to them.
One thing is, IPR gives the right to the person who has put years of effort.
Prof. Ganguli -In case of patents, it's not for anybody & everybody but rather for the skilled person..
Prof. Ganguli- Institutes should have uniform IPR policies to respect others IPs & generate self IPs respectively...
Its imp. to define, how much should be known & unknown.
Personal view: May run into some trouble with functions in the bill about Govt. access to data -one can say..
Our IT sectors have been dealing with diff. sectors like Banking, telecom, etc.
All things said, overall on the adequacy question w.r.t. to the current bill becoming law- need to be cautious.
Prof. Gouri- We haven't been able to evolve our own protocol, governance ecosystem & regulatory processes. Convergence between 3 agencies needs to be there to avoid regulatory conflicts.
Looking at countries, its imp. to realize that...
Prof. Ganguli - In present context esp. , we should bring in affordable innovations as solutions. For this, need to think about innovation life cycle. Laws &..
@ananth1148 -On regulation point, need to think about 2 v diff. sometimes disparate objectives-ensuring enough innovation is happening & lot of trust building is reqd for data.
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