104 Matching Annotations
  1. Last 7 days
    1. G20 Riyadh Declaration is very shy on digital issues. It does not develop further on Osaka declaration which initiated discussion on data and AI. See Osaka Declaration.

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  2. Nov 2020
    1. The Good CountryIndex

      To include in data sandbox? ||Jovan|| ||Katarina_An||

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    1. A very confusing article from the Economist.

      ||Jovan||

    2. America’s commerce department told foreign firms they could sell no more chips made using American technology to Huawei; its justice department filed an antitrust lawsuit against Google. America also pulled out of talks at the Organisation for Economic Co-operation and Development (OECD), a club of mostly rich countries, about how to tax the tech giants. India blocked dozens of Chinese apps, including TikTok, a popular video-sharing service, which the American government also wants to ban. The European Court of Justice (ECJ) struck down the “Privacy Shield” agreement between America and the European Union (EU), thus throwing the legal basis on which personal data flows across the Atlantic into doubt.

      Summary of the main developments

    3. eventually boast an even deeper pool of data and experts to develop AI models.

      this presumption more data - more insights need to be revisited.

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    1. The draft PDPL also specifically provides various data protection principles, including transparency, fairness, purpose limitation, data minimization, limited retention, data accuracy and accountability.  

      Chinese data protection law outlines a number of data principles ||Jovan|| ||Katarina_An|| ||MarcoLotti||

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    1. This article is about use of data in historical research introduced by Peter Turchin. Drawing on data, he argues that history is determined by:

      • bloating elite class with less opportunities for more and more elite members (money, position, etc.); they create counter-elite. He did not mentione communism but most of communists were members of elite. He argues that Trump is member of elite - turned 'counter elite'.
      • declining living standard of the general population - here he comes to the argument of Paul Kennedy 'Rise and Decline of Great Powers': after some time elite cannot provide any more 'goodies' for general population, which starts revolting. Elite has to use force which drains resources and,
      • governments can't cover its financial positons and colapse starts as it happened many times in the history: Roman Empire, Napoleon, Soviet Union, ...).

      I like his use of 'proxies' in data analysis. A lot can be done in the current 'data science' by using proxies to determine societal developments.

      He started journal Cliodynamics: https://escholarship.org/uc/irows_cliodynamics

      ||Jovan||||JovanNj||

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    1. Water scarcity mapping (provides a mapping on the availability of water per person) ||Jovan|| ||JovanNj|| ||Katarina_An||

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    1. A good source that monitors global povery. Includes data per country (no. of ppl living in poverty, escape rate, poverty threashold)

      ||Jovan|| ||JovanNj|| ||Katarina_An||

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    1. COVID-19 Twitter Data Geographic Distribution

      Very useful data on geographic distribution of covid-19 related tweets, most mentioned covid-19 locations worldwide, etc. In addition, I have found interesting data on other covid-19 related topics on this website, such as Covid-19 Impact on Humanitarian Operations, Countries' measures, etc. I think we can access the data by API (see: https://data.humdata.org/documentation). We could include this data in the next iteration of the Data Sandbox. ||JovanNj||||Jovan||

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    1. THE NETWORK READINESS INDEX 2020031DETAILED RESULTS OF NRI 2020Detailed results of NRI 2020

      The network readiness index could be useful for the data sandbox ||Jovan|| ||Katarina_An||

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    1. The Brussels Conference agreed on the need for international cooperation in data collection.

      First attempt to coordinate exchange of data on the global level (the Brussels Conference in 1853).

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    1. Very useful document for Road to Bern

      ||Jovan||

    2. Principle A: Openness“Openness means access on equal terms for the international research community at the lowest possible cost, preferably at no more than the marginal cost of dissemination. Open access to research data from public funding should beeasy, timely, user-friendly and preferably Internet-based.

      OECD - access to data from public funding

    1. ePrivacy regulation

      was meant to come out together with the GDPR. ePrivacy regulation aims to allow for processing of some metadata without consent. What are the exact circumstances for data processing (e.g. pandemic is cited but what else?) and could it weaken the GDPR even if it gives way to possible processing of data that falls in the realm of national security. ||Jovan|| ||Katarina_An|| ||StephanieBP||

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    1. Facebook jumped over 5%, with Apple and Google-parent Alphabet each rising over 3%, and Amazon adding 1.6%. Those companies’ gains ahead of their quarterly results after the bell added a combined $163 billion to their market capitalizations, more than the entire value of McDonald’s Corp.

      another useful comparison (between different corporations (apple, fb, google and amazon vs. mcdonald's) ||Jovan|| ||Katarina_An||

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    1. Reasons

      It is interesting to observe how the reason behind content removal appeals changed over time. This could add a qualitative note to our rather quantitative overview of countries' data. ||Jovan||

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    1. Vertic, a leading global independent digital agency has today advocated for an 18th SDG to be created: A Meaningful and Safe Digital Life.  More than 4.5 billion people now use the internet and over 3.8 billion are active on social media,   Data shows the average internet user now spends 6 hours and 42 minutes online each day, which equates to more than 100 days of connected time per internet user per year, or roughly 40 percent of our waking lives. 

      The text illustrates in a great way with the use of data why an 18th digital SDG would be very important (number of hours we spend online...) This is something that we could incorporate in our writing. ||Jovan|| ||Katarina_An|| ||djordjej||

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  3. Oct 2020
    1. Relevant points in this document

      • 5 eyes (Australia, Canada, USA, UK, New Zealand) are joint by Japan and India
      • against end-to-end encryption for two reasons: a) companies cannot enforce their internal rules on content moderation; b) law enforcement agencies cannot enforce laws.
      • problems should be solved on the way how applications are designed
      • need to solve problem of encryption via standards
      • argue that they can both protect privacy and limit encryption.

      ||VladaR||||AndrijanaG||||Jovan||||MarcoLotti||||AndrijanaG||

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    1. proposing a Data Act in 2021 that will seek to wrench open the bloc’s public and private data vaults.

      EU's Data Act in 2021

      ||StephanieBP||||Pavlina||

    2. Some $1.4trn of the combined $1.9trn market value of Alphabet (the owner of Google) and Facebook, comes from users’ data and the firms’ mining of it, after stripping out the value of their cash, physical and intangible assets, and accumulated research and development.

      a lot of use of numbers in the economist coverage

      ||Katarina_An||

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    1. Treating big tech as a monopolistic monolith does not make sense when some markets are competitive. Nor does banning tech firms from entering adjacent new markets—as a recent congressional report proposed. Better for governments to ensure that users have control over their data, and then vigorously tackle the areas like search and social media where monopolies have taken hold

      be restrictive with anti-monopolies. Build anit-monopoly around protection of data.

      Cross-cutting linkage: data governance - anti-monopoly

    2. The cloud has also been seen as an example of the internet’s fragmentation. Alibaba’s and Tencent’s cloud arms dominate in China and are making some inroads elsewhere in Asia. Europe is so anxious about American firms that it has launched a state-backed rival, called Gaia-X. Businesses in poor countries may struggle for access to the cloud, slowing their development.

      Here is digital geo-politics around cloud computing and data storage.

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    1. COVID-19 has made Bangladesh richer per capita than India. Will diplomatic partners shift their strategies as a result?

      An interesting queston for our data-driven approach.

      Is COVID-19 changing 'packing order' of global geo-economics and geo-politics? How can we follow this info in our data engine?

      ||NatasaPerucica||||Katarina_An||||JovanNj||||djordjej||

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    1. Taking inspiration from yesterday's call... coincidentally, Google has launched new tools for reporters, altogether called Journalist Studio. Not sure if our developers are aware? ||Jovan||

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    1. It is useful document for developing meta-data.

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    1. It is becoming clear that our Diplo5 focus is moving into right directions: a) focus on consolidating our data (Textus) b) integrating data value-add into our procedures (Textus) c) focusing on delivery of useful products (SpeechGen and Dta Sandbox).

      New possibilities will start opening with integration in this system of our LMS.

      ||Jovan||

    2. held back by Swiss data protection and cloud security laws

      why are people held back by Swiss data protection and cloud security laws?

      ||StephanieBP||||Pavlina||

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    1. The Hindu text provides balanced analysis of the reaction of Facebook on the movie 'The Social Media'. On the policy side, this movie opens the question of privacy, anti-trust regulation, and mental health.

      Facebook follows its standard rhetorics by shifting discussion in the past - 'the efforts already taken' - and the future - 'we are working to change this'.

    1. ||NatasaPerucica|| ||Katarina_An|| What is our excel file with info about revenue, profit, and other data about tech companies? Do we have these info in statista?

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    1. Data Modelling

      the key challene for data modelling is quality of meta-data: keywords, tags, issues.

      With our system getting off the ground, our efforts will be on consolidating tags/keywords/issues. We will use AI tools in this consolidation process. Personally, as Diplo 5.0 is getting off on all technical, organisational and other aspects, I will focus more and more on tags and data modelling.

    2. Data Architects understand the organisation’s strategy and business problems to be solved, but have the technical insight to get their hands dirty in the data itself. They know what data is needed and how that data is to be integrated by various systems.

      Diplo 5.0 advanced a lot on data archtecture by combinaton of Textus - DigitalWatch - AI - LMS (to be added later on).

      ||Jovan||

    3. Seventy percent of companies have reported minimal or no impact from Artificial Intelligence projects,

      Shocking statistics but realistic one.

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    1. ||MarcoLotti|| Let us enrich our 'language' with new concept of data catalog. We may start promoting 'data catalog' for International Geneva in the next phase of the Road to Bern project.

      Let us add this to 'lingo' which will be repeated more and more: Does Geneva has Data Catalog?

      ||Jovan||||JovanNj||||djordjej||

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    1. Data featured in the COVID layer comes from multiple authoritative sources, including Johns Hopkins, the New York Times, and Wikipedia.

      Data sources for COVID 19

    2. Google Maps provide info about COVID19

      ||djordjej||||Katarina_An||||NatasaPerucica||||MarcoLotti||

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  4. Sep 2020
    1. Democracy Report 2020. Autocratization Surges – Resistance Grows

      Democracy Report for Data Sandbox

      ||Katarina_An||

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    1. The main elements are:

      • Oracle and WallMart gets 20% of TikTok
      • All TikTok data of the US users will be kept at Oracle servers in the USA.
      • there is unclear commitment of USD 5 billion in educational fund
      • TikTok retains control of the algorithms and the code.

      USA introduces principle of data-localisaiton via Tik-Tok ruling which is against their free flow of data policy.

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    1. ‘data’ to ‘knowledge.’

      The paradigm shift - this is the first time in mainstream media that I've came across this focus on knowledge instead of data. We are visionaries as always :)

      ||Jovan|| ||JovanNj|| ||Katarina_An|| ||kat_hone|| ||NatasaPerucica||

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    1. 80% of industrial data is still collected and never used. This is pure waste.

      According to some statistics, 99.5% of collected data never gets used or analysed. https://www.cisco.com/c/dam/r/en/us/internet-of-everything-ioe/analytics-automation/assets/files/analytics-infographic.pdf

    2. And this is why we need to secure this data for Europe and make it widely accessible. 

      Interesting that EU is speaking about securing industrial data for the benefit of Europe. Until recently, this was mostly a developing country issue (re. the African group talking about digital industrial development). ||Jovan||

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    1. To help fill the gap, the data science for social good (DSSG) movement has for years been making datasets about important social issues—such as health care infrastructure, school enrollment, air quality, and business registrations—available to trusted organizations or the public. Large tech companies such as Facebook, Google, Amazon, and others have recently begun to embrace the DSSG movement. Spurred on by advances in the field, the Development Data Partnership, the World Economic Forum’s 2030Vision consortium, and Data Collaboratives, they're offering information about social media users’ mobility during COVID-19, cloud computing infrastructure to help nonprofits analyze large datasets, and other important tools and services.

      Can we make linkages on DW page to these projects and see how we can develop links with these communiteis?

      ||Katarina_An||||NatasaPerucica||||MarcoLotti||

    2. Here is article on SDGs and data.

      Can we develop our article along these narratives? Can this text help us in framing SDGs and data?

      ||Katarina_An||||NatasaPerucica||||MarcoLotti||

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    1. Access networks and access devices — the edge of the Internet — evolve rapidly, with many and varied devices connecting to new services, potentially using specialised networks, driven in large part by the IoT. 5G cellular network standardisation and deployment are partially driven by anticipated uses that depend on bespoke access networks with much greater processing capabilities in base stations close to mobile terminals.

      Again, it would be interesting to understand what could be the interplay between this trend and data localization.

    2. Underpinning the trend of content and cloud providers investing in their own infrastructure is the dominance of a small set of providers in the application layer, predominantly Google, Facebook, Amazon, and Microsoft. Their services rely on a global network of interconnected data centres and servers to process and deliver content closer to the users

      Would data localization policies significantly impact these giants' operations?

    3. large content and cloud providers are investing in their own international connectivity infrastructure to serve their networks of data centres and servers across the globe.

      What is the interplay between this localization trend and governmental data localization policies?

    4. As large investments are required in order to provide the full range of capabilities and resources, the IaaS and PaaS markets appear to be consolidating around the major players.

      If users in developing countries are hiring big companies to be their cloud computing providers, what's the impact of potential data localisation? Theoretically, these companies would have the resources to build processing facilities in developing countries (at least the largest ones). But: a) would that really translate into gains for developing countries (ex. create jobs, access to technology, the development of a local tech scene? b) Would smaller countries be able to enforce the same demand?; c) could data localisation be enforced on a regional basis instead to benefit from some gains of scale? ||MariliaM||

    5. With the ability to access and manage servers remotely, from anywhere on the Internet, new businesses have emerged that specialise in renting out space and processing on their servers. Today, cloud computing services dominate this arena. They use large data-centres with expertise and economies of scale, offering their specialised services globally. Customers tend to access these resources as needed instead of buying and managing servers themselves
      • Will data localisation trends affect the infrastructure of the service provision (ex. will localization of data centers have an impact on CDN deployment)?
      • How will data localisation trends affect the market of cloud computing services? (there are some empirical cases to study eg. India)
      • What is the prevailing regulatory trend in trade negotiations (global and regional, via RTAs, and national with a few case studies) when it comes to data localization? What are the political motivations for and against data localization?
      • What are the potential gains and losses that developing countries may face if they implement data localisation provisions? What are the potential unintended consequences (ex. difficulty in accessing the processing and analytical capability necessary for the national development of AI tools? ||MariliaM||
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    1. Companies relying on SCCs will have to begin the case-by-case assessments of their transfers to determine whether the protections in the U.S. or any country without an adequacy determination meet EU standards in the context of the specific transfer.

      To continue the concept that I've outlined in the page note, this doesn't mean anything to me as a webmaster and as a business owner. What exactly do I need to do/implement? Should I remove the Google services or are some of them ok, can I host my website in the US, what happens if I'm using Cloudflare etc...

    2. A brainstorming/question/proposal.

      This issue with Privacy shield going down has created a lot of buzz in technical community and I have first hand knowledge of European companies removing Google Analytics and related services from their websites which is a very big deal ad has consequences on business process among many other things. Since there is a lot of misunderstanding about the implications of this court decision, can we write something which is more tangible and useful for the average user than majority of texts I've came across on the web that go into detail explaining the rulings but not really explaining what operationally this means for website owners - similarly what happened when GDPR appeared. This could be one of those nice trending/visiting articles that can generate visibility for a long time.

      I would target a slightly wider audience of webmasters and business owners who are not into legal vocabulary but more in "what do I have to do now" and why the shouldn't rush into panic.

      ||Jovan|| ||Pavlina|| ||StephanieBP||

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  5. Aug 2020
    1. Availability of more, cheaper, readily accessible and more trustworthy data.

      might be useful for road to bern especially the question of data monopolization ||Jovan|| ||MarcoLotti||

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    1. Top Tasks

      A technique to mange huge amounts of data. It was initially developed for the private sector but has been translated to WHO and its covid-19 information website. Might be relevant for RtB

      ||Jovan|| ||MarcoLotti|| ||djordjej|| ||Katarina_An||

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    1. Data sources

      Here you can find a few more datasets to be included.

      ||Katarina_An||

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    1. This website does not look 'substantive' on the first glance. But, it could be interesting useful for the following reasons:

      • data and AI (maybe something substnative)
      • presentation of online conference by PR company

      ||JovanNj||||StephanieBP||||djordjej||||NatasaPerucica||||Katarina_An||||MarcoLotti||

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    1. using linear interpolation.

      Can we us this method for adding missing data in our analysis?

      ||JovanNj||||Jovan||

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    1. CONCEPTS

      Here is concept behind DHL Index

      ||djordjej||||Katarina_An||||Jovan||||JovanNj||

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    1. covid19-api

      It id not clear if this API is valid. We need to check usability of this API.

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    1. This has played out in the recent rush to form global AI ethics guidelines: developing countries in Africa, Latin America, and Central Asia have been largely left out of the discussions, which has led some to refuse to participate in international data flow agreements.

      interesting point for Road to Bern initiative and work on data principles/values

      Why developing countries are refusing to participate in international data flow (India refused to sign the G20 Osaka Declaration on data flow).

      ||Jovan|| ||Katarina_An|| ||MarcoLotti||

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  6. Jul 2020
    1. We’re also using data in new ways to inform the public health response. We partnered with Carnegie Mellon University to launch a Covid-19 Symptom Survey that canhelp researcherspredict the spread of the disease. With millions of responses, researchers are able to get a much more detailed picture of the pandemic. We also contributed aggregatedanonymized location data to the Covid-19 Mobility Data Network, a group of 40 health researchers whose work helps governments determine ifand whereit’s appropriate to roll back social distancing orders. I’m proud that we’ve been able to support people, businesses and the public health effortduring this crisis.

      Interesting data activity.

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    1. So far 24 African countries, out of 53, adopted laws and regulations to protect personal data, and the number is slowly rising. The 2016 EU General Data Protection Regulation stands as a model for many.

      Do we have any mapping of data regulation?

      ||AndrijanaG||

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  7. Jun 2020
    1. to attract the storage and processing of data from other countries and regions

      Which countries and regions is it aiming for? Africa? (Not Asia, not USA, not Russia...)

    2. free and safe flow of data should be ensured with third countries, subject to exceptions and restrictions for public security, public order and other legitimate public policy objectives of the European Union, in line with international obligations. This would allow the EU to have an open but assertive international data approach based on its values and strategic interests

      Legalese. And again: the EU will have 'an open but assertive international data approach based on its values and strategic interests'

    3. European companies operating in some third countries are increasingly faced with unjustified barriers and digital restrictions

      Is this directed at China?

    4. open, but assertive approach to international data flows, based on European values

      Open but assertive, based on European values.

      Dear USA, the data of EU citizens will now be in Europe. Or so we hope. We may allow the flow of data your way, but you will have to respect our laws, including GDPR. We will put our put down once we have our common spaces in place. Yours, the EU

    5. Common European data spaces in strategic sectors and domains of public interest

      Pillar 4: The 9 + 1 common data spaces

    6. Competences: Empowering individuals, investing in skills and in SMEs

      Pillar 3: Public awareness + improvements to the right to data portability (either updating GDPR s.20, or via new Data Act 2021)

    7. Enablers: Investments in data and strengthening Europe’s capabilities and infrastructures for hosting, processing and using data, interoperability

      Pillar 2: Investment for a High Impact Project on European data spaces and federated cloud infrastructures. Essentially, to create the infrastructure so that data stays/is hosted in Europe

    8. A cross-sectoral governance framework for data access and use

      Pillar 1: Data governance:

      • It will develop a framework for the 9 + 1 common data spaces, by end 2020
      • It will adopt an Implementing act on high-value sets (HVD), by Q1 2021
      • Develop a Data Act 2021 for cross-sectoral data-sharing (ex B2G) Plus, potential ex ante legislation on platforms & data; and jurisdictional measures to protect EU companies from being subject to jurisdictional claims from other countries
    9. APPENDIX to the Communication ‘A European strategy for data’

      The 9 + 1 common data spaces

    10. Artificial Intelligence

      AI is mentioned so many times. No wonder the Data Strategy was published alongside the AI white paper

    11. such as data protection rules

      ie, US Cloud Act could be seen as not as strict as GDPR. CHECK

    12. Data governance

      Not much is said here

    13. single European data space – a genuine single market for data, open to data from across the world – where personal as well as non-personal data, including sensitive business data, are secure and businesses also have easy access to an almost infinite amount of high-quality industrial data

      Concept of European data space (a genuine single market for data, open to data from across the world). Data in, but not data out. That is, data of European citizens kept within EU, rather than continuing to seep through EU's space towards USA.

    14. digital diplomacy

      What does digital diplomacy mean here?

    15. In the US, the organisation of the data space is left to the private sector, with considerable concentration effects. China has a combination of government surveillance with a strong control of Big Tech companies over massive amounts of data without sufficient safeguards for individuals. In order to release Europe’s potential we have to find our European way, balancing the flow and wide use of data, while preserving high privacy, security, safety and ethical standards.

      EU is positioning itself as a more balanced approach to the USA (private sector-led) and China (government-led)

    16. Data will also fuel the wide implementation of transformative practices such as the use of digital twins in manufacturing.

      Concept of digital twins. Used in manufacturing

    17. Data is the lifeblood of economic development

      New analogy

    18. data strategy is presented at the same time as the Commission’s Communication on “Shaping Europe’s digital future” and a White Paper on artificial intelligenc

      The three documents launched in February 2020

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    1. While Agustin Reyna of the European Consumer Organisation, BEUC, said that this was an impossible distinction to make, Facebook’s Director of Social and Economic Policy, EU Affairs, Phillip Malloch, said the lines between personal and non-personal data should be straightforward to draw

      They speak at approx 1:26:00 at https://www.pscp.tv/w/1YqGoRqNnjvKv

      Facebook's Malloch did not really substantiate. He referred to FB's Data Transfer project on data portability to show that FB is making the portability of personal data possible. Re data strategy, the GDPR's definition of personal data is more or less fine.

      Reyna from BEUC said in practice, many datasets include both personal and non-personal data, so it is very difficult to distinguish. The European Commission's approach to mixed data within a dataset is to treat the whole set as personal data, with full application of the GDPR.

      Also he says: The industry often says that consent is the main basis that they have to follow re GDPR. In reality, the private sector also needs to look at the principles underlying the GDPR (ex privacy by design & default, etc) as these are what define the scope under which data can be collected and processed.

      ||Jovan||

    2. Data Governance Act will be presented after the summer

      On the radar for autumn, and for our mid-year predictions ||Jovan||

    3. non-personal data (which the EU wants to liberalise) and personal data (ring-fenced by high data protection laws) can be distinguished from one another.

      Data taxonomy: the two broad categories of data ||Jovan||

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    1. “Conducting trials at a multinational level is time-consuming as each country has a different system, with different standards, which has led to a very heterogeneous way of doing studies. This ultimately means we may not be getting the most accurate information,” Kesecioglu warned. One way to achieve this is via the creation of an EU-wide platform for data sharing, which both say could allow a better quantity and quality of data for research purposes.

      Call for a data sharing EU-wide platform, to pool together data on trials, in a homogenous way. Relevance for Road2Bern and DW/covid-19 ||MarcoLotti|| ||AndrijanaG|| ||NatasaPerucica|| ||Jovan||

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