International Conference on

Blockchain and Data Science

Blockchain 2020

Theme: Creating the future by exploring technology

We welcome all techno enthusiastic to participate in the International Conference on Blockchain and Data Science scheduled in Paris, France during May 18-19, 2020. The 2020 edition will move forward with the theme “Creating the future by exploring technology 

Blockchain 2020 will bring together scientific researchers from all around the globe to share their studies on this unique concept of Block Chain, IoT, Crypto Currency, Artificial Intelligence etc. Meetings International organizes various conferences throughout the year on a plethora of research topics and is committed to work with scientists, researchers for the advancement of research in all fields.

 
A blockchain is a increasing list of documents, called blocks, connected by cryptography. Each block includes a prior block cryptographic hash, a timestamp, and transaction information. A blockchain is frequently supervised for use as a distributed ledger by a shared scheme in its entirely that adheres to a convention between hub correspondence and approval of fresh squares. It is created as the Bitcoin virtual monetary accounting method, blockchains – which are used as distributed ledger technology (DLT) – appear today in a multitude of business apps.
 
 
 
What's old can sometimes become radically new again. One of these notions is trust. As we embed confidence in blockchain operations, fresh opportunities for transformation are emerging. There's a change in every time. A true shift that lives up to its potential – to transform landscapes, change outlooks, and introduce a fresh reality. Blockchain produced some time ago a not-so-silent entry and trailing in his wake, laying the promise of revolutionizing companies and changing how cultures communicate.
 
 
 
Bitcoin's emergence and the blockchain have brought a lot of change to the finance globe. Previously, the traditional economic transaction scheme engaged third-party financial institutions ' active involvement, i.e. Banks. However, the blockchain has now taken advantage of transactions between people, businesses across global boundaries without intermediaries being involved. Formerly, the world economy used fiat currencies / government-backed currencies, i.e. dollar, euro, pound, etc. A few cryptocurrencies are being used to purchase products and full transactions with mass acceptance on the increase, with Bitcoin leading the pack.
 
 
 
Blockchain has the capacity to alter the financial industry's multiple corners. Blockchain is changing the world from the strategy we tend to pay money with cryptocurrencies like Bitcoin to banks and financial institutions settling payments through Ripple. In the economic industry, the use of blockchain decreases the importance of online transactions and at the same time improves their authenticity and security. It is also used to safeguard delicate documents and authenticate a user's identity. By releasing transactional documents from the historical constraint of isolation and eliminating the need for verification, it will dramatically enhance business processes.
 
 
Session on: Blockchain and IoT
 
The block chain promises safety for things on the Internet: it offers assurances that knowledge is valid, and hence the process that presents fresh data For the same reasons it operates for crypto currency. As a consequence of the flow of sensors and embedded processors, the issue of IoT safety will alter the way urban planners set up hospitals and bus stops. Bitcoin a neater pulls back over IoT safety to fix. Blockchain moves currency wallets from one anonymous proprietor to a new with bitcoin. There are a lot of complex device authentication, safety and management layers.
 
 
 
Today, with talk of blockchain technology and cryptocurrency, the internet is ablaze. There is no doubt that blockchain technology, which is the key technology behind cryptocurrency, is defined as a significant disruptor to the worldwide business process. However, it appears that cryptocurrencies receive much more attention than blockchain technology. Many entrepreneurs jumped on the bandwagon to develop ICO campaigns, selling tokens and raising hundreds of millions of dollars to the public. A lot appears to have occurred in the cryptocurrency room in less than a century since Satoshi Nakamoto brought Bitcoin to the globe.
 
 
 
Blockchain technology raises some ethical issues, with the two most prominent issues being Environmental impact and Obvious criminal activity allowing. Firstly, The Environment understand that the technology is driven by raw computing energy. And because blockchain networks depend on encryption and solving complicated mathematical puzzles, there is an enormous amount of computing energy to operate them.
Secondly, Cybercrime looking back at Bitcoin's early days, one might claim that the price rises of the cryptocurrency were motivated by criminal activity almost solely. Using dark websites, cyber criminals could securely and anonymously sell medicines, guns, and other prohibited products to Bitcoin — not to mention the apparent advantages that untraceable economic transactions give money launderers.
 
 
 
Big Data is a sentence that uses traditional database and software methods to mean a huge quantity of both structured and unstructured data that is so big it is hard to process. A straightforward, unattended learning algorithm that is often used with large information sets, often as a manner to pre-cluster or classify into bigger classifications that other algorithms can refine further. It has some other intrinsic issues that make it best suited for high-level, large-scale clustering.
 
 
 
Machine Learning is a method of teaching computers how to perform complex tasks that human beings can not readily describe or process and predict. It is a mixture of statics and mathematical optimization. The essential plan is to compile algorithms. On the other side, Deep Learning is the ML subset that focuses to fix any issue even more closely like a neuronal stage. The Strategies are square measure, present the state of the art in images and phrases are in sounds for distinctive objects.
 
 
Session on: Data Visualization
 
Visualization of data is the graphical depiction of data and information. Data visualization instruments provide an affordable way to see and comprehend trends, outliers, and patterns in information by using visual components such as charts, graphs, and maps. In the big data world, instruments and techniques for data visualization are crucial for analyzing  huge quantities of information and making data-driven choices.
 
 
 
Data is measured, obtained, reported and analyzed using charts, pictures or other analytical instruments. Data as a general notion relates to the reality that some current data or expertise is represented or coded for better use or processing in some form. Knowledge Management is a discipline that covers many fields, including economics, computer science, psychology and technology. There are two primary kinds of information, tacit and explicit, according to literature. Tacit knowledge relates to private knowledge and on the other hand, explicit knowledge relates to the one already documented and articulated in formal language.
 
 
 
Data communication relates to information exchange between a source and a receiver through transmission media type such as a wire cable. When communication devices are in the same construction or a likewise limited geographical region, data is said to be local, Networking is also known as computer networking. It allows devices and endpoints to be linked to each other on a local area network (LAN) or on a bigger network, such as the internet or a personal wide area network (WAN).
 

MARKET ANALYSIS REPORT-                                                          

 BLOCKCHAIN

The Global Blockchain Technology Market, projected at US$ 1,640.7 Mn in 2017, is foreseen to reach US$ 21,070.2 Mn by end of 2025, according to a report. The blockchain is a computerized record innovation (DLT) that utilizations cryptography and timestamps to fabricate steady and secure records. In addition, blockchain allows customers to engage in peer-to-peer transactions without involving any key mediators to provide a sophisticated version of a digital payment system. BFSI sector arose with the implementation of bitcoin in 2009-10 as an early adopter of blockchain technology.

GLOBAL BLOCKCHAIN MARKET SHARE, BY INDUSTRY 2017

 

 

             Reference:  https://www.fortunebusinessinsights.com

BLOCKCHAIN USA & NORTH AMERICA MARKET-

In the forecast period (2017-2023), the U.S. blockchain technology market is anticipated to record double-digit development.

The U.S. is anticipated to retain 40% of the global Blockchain technology investment. The U.S. resulted the banking and economic services industry on the basis of sectors. Technology market for blockchain in 2017. And the U.S. will continue to finance Blockchain technology, spending strongly on economic support and manufacturing industries. The nation looks forward to enhancing the use of Blockchain technology across different fields, improving the effectiveness of the current procedure and also generating fresh intervention. It is anticipated that this factor will create fresh income streams.

The general market was dominated by North America, accounting for 40.9 percent of worldwide income in blockchain sector. This can be ascribed to the more rapid implementation of innovative techniques in developed countries such as the United States and Canada. Due to the powerful presence of technology suppliers such as Microsoft and Deloitte, a highly competitive environment in the U.S. contributes phenomenally to the infusion of different blockchain alternatives.

It is anticipated that an increasing economic industry will boost the development of the Asia Pacific economy in emerging countries like China and India. The region's banking sector stresses streamlining KYC and compliance procedures that drive blockchain implementation in the financial services industry. 

GLOBAL BLOCKCHAIN MARKET-

The worldwide market size of blockchain technology was valued at USD 604.5 million in 2016 and a CAGR of 37.2 percent is expected over the forecast era. Blockchain technology is one of the IT (IT) domain's most promising developments. It allows a ledger that all parties involved in the transaction can access and act as the universal irrefutable depository of all transactions between the parties involved.

                        BLOCKCHAIN MARKET SIZE BY APPLICATION, 2015-2024(USD Mn)

 

Reference: https://www.grandviewresearch.com/industry-analysis/blockchain-technology-market

Global  Leaders-

  • IBM Corp
  • Microsoft Corp
  • Linux Foundation
  • R3 are key players in the sector.
  • BTL
  • Group Circle Internet Financial Limited
  • Chain Inc
  • Deloitte
  • Global Arena Holding, Inc. (GAHI)
  • Post-Trade Distributed Ledger

DATA SCIENCE

As per the research of a leading organization, It is predicted that the general market for data science platforms will expand from USD 19.58 billion in 2016 to USD 101.37 billion by 2021. Different companies use the data science platform to enhance their decision-making abilities and gain a greater insight into customers purchasing patterns and shopping behaviour. Most of the IT giants in this industry participate actively in organic and inorganic approaches.

DATA SCIENCE MARKET-

Factors such as worldwide fast development in large data systems, demand for large data assessment to obtain greater insights into customer purchasing habits, and the need for ease of use of technological techniques to drive company efficiency are driving the worldwide information science platform industry. Data science platform assists in facilitating a high level of connection across information researchers, company analysts, data technicians, and developers in various company areas. Data Science platforms assist organisations in information preparation, model building, and analytics operation.

The data science platform market's main impact factors include data explosion, organizational realization of the significance of data science, increased information collection & analysis from mobile phones, development of large data technology, increasing information safety & privacy concerns, and elevated original investments. These variables contribute considerably to the development of the industry of the data science platform and are estimated during the forecast period to affect market growth.

 

                        GOBAL DATA SCIENCE MARKET SIZE, 2017-2023(USD BILLION)

Reference:  https://www.marketresearchfuture.com/reports/data-science-platform-market-5201

Top Universities of Blockchain & Data Science in USA:

  • Columbia University, New York
  • New York University, New York
  • Carnegie Mellon University, Pennsylvania
  • University of California, Berkeley
  • Stanford University, California
  • University of Southern California, California
  • University of Virginia, Virginia
  • Indiana University, Bloomington
  • University of Massachusetts – Amherst, Hampshire
  • University of Minnesota – Twin Cities, Minnesota
  • New York University, New York
  • Massachusetts Institute of Technology, Massachusetts
  • Cornell University, New York
  • Georgetown University, Geaorgetown
  • Harvard University, Cambridge
  • Duke University, Durham
  • University of Pennsylvania, Pennsylvania.
Top Universities of Blockchain & Data Science in America:
 
  • Stanford University, California
  • Columbia University, New York
  • University of California, Berkeley
  • University of Southern California, California
  • Georgetown University, Georgetown
  • University of Chicago, Chicago
  • Indiana University Bloomington, Bloomington
  • Louisiana State University, Louisiana
  • University of Massachusetts Amherst, Hampshire
  • New York University, New York
  • Cornell University, New York
  • Princetown Univrsity, New Jersey
  • Harvard University, Cambridge
  • Massachusetts Institute of Technology, Massachusetts
  • University of Pennsylvania, Pennsylvania.
  • Yale University, Connecticut
Top Universities of Blockchain & Data Science in Canada:
 
  • University of Waterloo, Ontario
  • University of British Columbia, British Columbia
  • Saint Mary’s University, Nova Scotia
  • Simon Fraser University, British Columbia
  • Ryerson University, Ontario
  • Carleton University, Ontario
  • Trent University, Ontario
  • Langara College, British Coloumbia
  • University of Toronto, Toronto
  • University of Alberta, Alberta
  • University of Nicosia, Cyprus
  • Princeton University, USA
  • Universidad Europea Madrid, Spain
  • Duke University, Durham
  • The University of California, Berkeley
  • Canadian University, Canada
Top Universities of Blockchain & Data Science in World:
 
  • Syracuse University, New York
  • University of Denver, Colorado
  • The University of California, Berkeley
  • University of Dayton, Dayton
  • Southern Methodist University, Texas
  • American University, Washington D.C
  • Cornell University, New York
  • Stanford University, California
  • National University of Singapore, Singapore
  • University of California, Berkeley
  • University of Pennsylvania, Pennsylvania.
  • Swiss Federal Institute of Technology, Zurich
  • University of California, Los Angeles
  • Princeton University, New Jersey
  • University of Texas, Austin
Top companies of Blockchain & Data Science:
 
  • IBM
  • LeewayHertz
  • TechRacers
  • IntellectSoft
  • Blockchain Intelligence Group
  • ChromaWay
  • Blockchangers
  • Altoros
  • Somish
  • Primechain Technologies
  • SoluLab
  • Sigma Data Systems
  • ELEKS
  • ScienceSoft USA Corporation
  • S-PRO
  • XenonStack
  • Impetus
  • Empirical Path
  • Tiger Analytics
  • Intellias
  • Pythian
  • YellowFin
Top Organizations of Blockchain & Data Science:
 
  • Coinbase
  • R3
  • The DAO
  • ConsenSys
  • U.S. Securities and Exchange Commission
  • Maersk
  • Monetary Authority Singapore
  • Guardtime
  • BitGive Foundation
  • Bitfury USA
  • Digital Asset Holdings
  • Data Science Central LLC
  • Kaggle
  • Coursera
  • Fast Forward Labs
  • Quora
  • SIGKDD
  • International School of Engineering
  • Galvanize
  • Udacity
  • DataRobot
  • Civis Analytics
Research Institutes:
 
  • Academy of Scientific Research and Technology, Egypt
  • International Council of Academies of Engineering and Technological Sciences, Sweden
  • Korean Academy of Science and Technology, South Korea
  • Mauritius Academy of Science and Technology, Mauritius
  • Palestine Academy for Science and Technology, Israel
 
The Road Ahead:
Modern-day technologies generally make a loud appearance and as time changes, technology changes faster. Blockchain has captured the imagination of both the government as well as industry. The blockchain system is faster, remove costly process, much more secure, guarded and helping us to replace the current system. Blockchain’s prospective influence is real. If achieved the desired result, blockchain expertise can transform the way we live our lives. 
 

Meetings International has always been at the forefront to support and encourage the scientific and techno researchers to march forward with their research work. International Conference on Blockchain and Data Science offers various awards as recognization to exceptional researchers and their research work. We invite all enthusiastic researchers from all around the world to join us for the International Conference on Blockchain & Data Science scheduled in Las Vegas, USA on March 18-19, 2020

Eminent Key Note Speaker Award:

Blockchain 2020 will confer the Model Key Note Speaker Award to the researchers who have spent a considerable time of their academic life towards the research related to the conference topic. Keynote speaker award is for the researchers/speakers who have done all the hard work behind the scene. It will be a small clap for their dedication and hard work.

Outstanding Speaker Award:

Blockchain 2020 will bestow model speaker award to those researchers who have made significant contribution towards the conference topic during their research period as well as presented the research topic in an impressive way in the oral presentation during the summit. It will be an apt appreciation from the Jury as well as from the delegates. The award they receive will motivate them to march forward with the research work.

Model Organizing Committee Member Award:

Blockchain 2020 will take this opportunity to facilitate eminent experts from this field with the model Organizing Committee Member award for their phenomenal contribution towards the society through their academic research.  This will be a trivial but significant reorganization of their dedication and discipline.

Promising Young Researcher Award:

The motive of this Award during Blockchain 2020  is to appreciate the research work of the budding young researcher who is continuing their research work to create a better society. The award will provide them a tremendous amount of encouragement to keep moving forward. 

Educative Poster Award:

The educative poster award for the Blockchain 2020 will be an endorsement for those who wish to display their research paper through a poster and will act as a guiding force of those researchers. The award will be presented to the most informative and educative research poster.

Criteria:

  • All presented abstracts will automatically be considered for the Award.
  • All the presentation will be evaluated in the conference venue.
  • All the awards will be selected by the judges of the award category.
  • The winners will be formally announced during the closing ceremony.
  • The winners of the Poster Award will receive an award certificate.
  • The awards will be assessed as far as to plan and format, intelligence, argumentation and  approach, familiarity with past work, engaging quality, message and primary concerns, parity of content visuals, and by and large impression.

Guidelines:

  • All submissions must be in English.
  • The topic must fit into scientific sessions of the conference.
  • Each the individual participant is allowed to submit a maximum 2 papers.
  • Abstract must be submitted online as per the given abstract template.
  • Abstracts must be written in Times New Roman and font size will be 12.
  • Abstract must contain the title, name, affiliation, country, speaker’s biography, recent photograph, image and reference.
  • Each poster should be approximately 1x1 M long. The title, contents and the author’s information should be clearly visible from a distance of 1-2 feet.

 

 

Meetings International is announcing Young Scientist Awards through 4th International Conference on Blockchain and Data Science (Blockchain 2020) which is scheduled at Paris, France during May 18-19, 2020. This Blockchain conference focuses on Creating the future by exploring technology.

Blockchain 2020 and upcoming conferences will recognise participants who have significantly added value to the scientific community of computer science and provide them outstanding Young Scientist Awards. The Young Scientist Award will provide a strong professional development opportunity for young researches by meeting experts to exchange and share their experiences at our international conferences.

Blockchain 2020 will bring together scientific researchers from all around the globe to share their studies on this unique concept of Block Chain, IoT, Crypto Currency, Artificial Intelligence etc. Meetings International organizes various conferences throughout the year on a plethora of research topics and is committed to work with scientists, researchers for the advancement of research in all fields. Blockchain 2020 conference operating committee is providing a platform for all the budding young researchers, young investigators, post-graduate/Master students, PhD. students and trainees to showcase their research and innovation.

Eligibility:

Young Scientists, faculty members, post-doctoral fellows, PhD scholars and bright Final Year MSc and M.Phil. candidates. Persons from Scientific Industry can also participate.

Benefits: The Young Scientist Feature is a platform to promote young researchers in their respective area by giving them a chance to present their achievements and future perspectives.

  • Acknowledgement as YRF Awardee
  • Promotion on the conference website, Young Researcher Awards and certificates
  • Link on the conference website
  • Recognition on Meetings Int. Award Page
  • Chances to coordinate with partners around the world
  • Research work can be published in the relevant journal without any publication fee

Criteria:

  • All presented abstracts will automatically be considered for the Award.
  • All the presentation will be evaluated in the conference venue
  • All the awards will be selected by the judges of the award category
  • The winners of the Young Scientist Award will receive award certificate.
  • The awards will be assessed as far as plan and format, intelligence, argumentation and  approach, familiarity with past work, engaging quality, message and primary concerns, parity of content visuals, and by and large impression.

Guidelines:

  • All submissions must be in English.
  • The topic must fit into scientific sessions of the conference
  • Each individual participant is allowed to submit maximum 2 papers
  • Abstract must be submitted online as per the given abstract template
  • Abstracts must be written in Times New Roman and font size will be 12
  • Abstract must contain title, name, affiliation, country, speakers biography, recent photograph, image and reference

Conditions of Acceptance:

To receive the award, the awardee must submit the presentation for which the award is given, for publication at the website, along with author permission. Failure to submit the PPT, and permission within the designated timeframe will result in forfeiture of award.

Award Announcements:

Official announcement of the recipients will occur after the completion of Blockchain Conference.

  • History of Blockchain
  • Blockchain:Building Trust
  • Blockchain and Cryptoeconomics
  • Blockchain in Finance Sector
  • Blockchain and IoT
  • Cryptocurrency: Socio-Economic Effect
  • Ethical issues in Blockchain
  • Big Data Analytics and Algorithms
  • Machine Learning and Deep Learning
  • Data Visualization
  • Data and Knowledge Management
  • Data Communication and Networking

9 Organizing Committee Members

Media Partners & Collaborations

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