Category Archives: Data Mining
SkyChain Signed Agreement to Secure Land and Power… | INN – Investing News Network
Skychain Technologies Inc. is pleased to announce that the Company has signed a service agreement with Sunset Solar Inc. which is a private company incorporated under the laws of Alberta. Sunset has been engaged in the business of developing a solar farm since its inception in 2016 with access to land in Alberta and potential electricity for constructing a solar farm and cryptocurrency mining facilities.Sunset is an
Skychain Technologies Inc. (TSXV: SCT) (OTCQB: SKTCF) (the Company) is pleased to announce that the Company has signed a service agreement with Sunset Solar Inc.(Sunset) which is a private company incorporated under the laws of Alberta. Sunset has been engaged in the business of developing a solar farm since its inception in 2016 with access to land in Alberta (the Land) and potential electricity for constructing a solar farm and cryptocurrency mining facilities.
Sunset is an Alberta registered company that has progressed in the permitting process to build a 57-megawatt (MW) alternating-current solar photovoltaic power plant. The project is proposed to consist of 216,756 fixed-mount photovoltaic solar panels, an underground network of electrical collector lines, and a collector substation located one kilometre southwest of the hamlet of Grassy Lake Alberta occupying 10 acres. The use of solar power combined with conventional power sources on the 10 acres site will add an emission free energy source for its data centre.
Pursuant to the service SkyChain will proceed with all required permits and applications with participation by Sunset in all aspects of the project. Final approval to the project is subject to securing the land and energy from the Alberta power transmission authority.
Per the terms of the service agreement, subject to successful completion of the services resulting in securing the permits, approvals, with land and power access, SkyChain will provide a payment of $1.68 million CAD in SkyChain common shares at $0.80 CAD per common share to Sunset.
The payment remains subject to successful due diligence and the satisfaction of various conditions per the agreement, as well as the approval of the TSX Venture Exchange (the Exchange). The Company and Sunset are presently working through the due diligence process.
About Skychain Technologies INC
Skychain Technologies is a Vancouver based company providing Blockchain Infrastructure services and power solutions. Our vision is to become a leading player in the crypto/data mining hosting by growing to 100MW of crypto hosting capacity. To learn more, visit http://www.skychaintechnologiesinc.com.
ON BEHALF OF THE BOARD OF DIRECTORS
Bill Zhang
President and CEO
info@skychaintechnologiesinc.com
Neither the TSX Venture Exchange, nor its Regulation Services Provider (as that term is defined in the policies of TSX Venture Exchange) accepts responsibility for the adequacy of accuracy of this release.
Statements in this news release may be viewed as forward-looking statements. Such statements involve risks and uncertainties that could cause actual results to differ materially from those projected. There are no assurances the company can fulfill such forward-looking statements and the company undertakes no obligation to update such statements. Such forward-looking statements are only predictions; actual events or results may differ materially as a result of risks facing the company, some of which are beyond the companys control.
To view the source version of this press release, please visit https://www.newsfilecorp.com/release/99781
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SkyChain Signed Agreement to Secure Land and Power... | INN - Investing News Network
Windfall Geotek Completes Soil Program and 43-101 on Sobeski Lake Property in the Red Lake Area – Junior Mining Network
Highlights:
Sobeski area is near the northeastern tip of the Red Lake Greenstone Belt (RLGB) and the southern end of the Nungesser Lake Greenstone Belt (NLGB)
497 Soil samples taken, some returned values as high as 640 PPB; One large gold-in-soil anomaly with several smaller outlier anomalies
Windfalls AI generated targets in the area were validated in this program along with obtaining a 43-101 on the property
Brossard, Quebec - TheNewswire - Oct 14, 2021 Windfall Geotek (TSXV:WIN) (OTC:WINKF) (FSE:L7C2) a leader in the use of Artificial Intelligence (AI) with advanced knowledge-extraction techniques since 2005 in the mining sector is pleased to announce the filing on SEDAR (www.sedar.com) of the new NI 43-101 report on its 100% owned Sobeski Lake property. Windfall initially identified highly prospective targets on the property and elected to conduct and complete a soil campaign that validated the AI targets in the summer of 2021.
Exploration Summary
Since acquiring the Sobeski Lake Property, Windfall has completed a soil sampling program. A total of 497 samples were taken. The objective of the program was to determine if there were coincident gold-in-soil anomalies over the statistical analysis of the area using Windfalls proprietary AI system that led Windfall to stake the area. The program was designed to cover the AI targets seen in Figure 1. The results of this program were successful as anomalous gold-in-soil samples returned values as high a 640-ppb gold (Figure 2). One large gold-in-soil anomaly was outlined with several smaller outlier anomalies detected.
Geology Context
The Sobeski Lake Property lies at the junction of the northeastern tip of the Red Lake Greenstone Belt (RLGB) of the Uchi Subprovince and the southern end of the Nungesser Lake Greenstone Belt (NLGB) of the Berens River Subprovince. Both Subprovinces belong to the Superior Province of Canada. The Property appears to be underlain by a variety of granitoid intrusive rocks making up the marginal zone between the Trout Lake batholith to the South and the Little Vermilion batholith to the north. The current property boundary mapped the following rock types: 1) Mafic volcanic rocks consisting of medium-grained, schistose with black amphibolite; 2) Clastic metasediments (arkose and greywacke) which grade into biotite gneisses and migmatites and 3) Felsic intrusive rocks of a granite to granodiorite suite (Modified from NI 43-101 Report, Kilbourne, M. &, MacLachlan, B., August 15, 2021).
Figure 1: Windfalls Sobeski Lake Property claims with geology and AI targets
Figure 2: Windfalls Sobeski Lake soil sampling program
Dinesh Kandanchatha, Chairman of Windfall Geotek commented: Over this summer we have made significant advancements in our AI technology including the ability to rapidly process public and private datasets in a portion of the time that it has taken historically. We are leveraging this extraordinary technical leverage to advance our engagements beyond target generation. This 43-101 in Sobeski Lake is accretive to our AI technology and the next phase of value creation for Windfall shareholders..
The scientific and technical data contained in this press release was reviewed and prepared under the supervision of Grigor Heba, Ph.D., P.Geo.,Principal Geologist and a Qualified Person as defined by National Instrument 43-101.About Windfall Geotek Powered by Artificial Intelligence (AI) since 2005
Windfall is an Artificial Intelligence company that has been in business for over 15 years developing its proprietary CARDS analysis (AI) and data mining techniques. Windfall Geotek can count on a multidisciplinary team that includes professionals in geophysics, geology, Artificial Intelligence, and mathematics. It combines available public and private datasets including geophysical, drill hole and surface data. The algorithms designed and employed by Windfall are calculated to highlight areas of interest that have the potential to be geologically similar to other gold deposits and mineralization. The Company's objective is to develop a new royalty stream by significantly enhancing and participating in the exploration success rate of mining and to continue the Land Mine detection application as a high priority. Windfall has played a part in numerous past discoveries utilizing its methodology as described at: https://windfallgeotek.com/.
For further information, please contact:
Simran Kamboj
President and CTO of Windfall Geotek
Email: This email address is being protected from spambots. You need JavaScript enabled to view it.
Website: http://www.windfallgeotek.com
Additional information about the Company is available under Windfall Geoteks profile on SEDAR at http://www.sedar.com. Neither the TSX Venture Exchange nor does its Regulation Services Provider (as that term is defined in the policies of the TSX Venture Exchange) accept responsibility for the adequacy or accuracy of this release.
FORWARD-LOOKING STATEMENTS
This news release contains forward-looking statements, which relate to future events or future performance and reflect managements current expectations and assumptions. Such forward-looking statements reflect managements current beliefs and are based on assumptions made by and using information currently available to the Company. Investors are cautioned that these forward-looking statements are neither promises nor guarantees, and they are subject to risks and uncertainties that may cause future results to differ materially from those expected. These forward-looking statements are made as of the date hereof and, except as required under applicable securities legislation, the Company does not assume any obligation to update or revise them to reflect new events or circumstances. All forward-looking statements made in this press release are qualified by these cautionary statements and by those made in our filings with SEDAR in Canada (available at http://WWW.SEDAR.COM).
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Data mining the past – UB News Center
BUFFALO, N.Y. Old newspapers provide a window into our past, and a new algorithm co-developed by a University at Buffalo School of Management researcher is helping turn those historic documents into useful, searchable data.
Published in Decision Support Systems, the algorithm can find and rank peoples names in order of importance from the results produced by optical character recognition (OCR), the computerized method of converting scanned documents into text that is often messy.
Its a known fact that when OCR software is run, very often the text gets garbled, says Haimonti Dutta, PhD, assistant professor of management science and systems in the UB School of Management. With old newspapers, books and magazines, problems can arise from poor ink quality, crumpled or torn paper, or even unusual page layouts the software isnt expecting.
To develop the algorithm, the researchers partnered with the New York Public Library (NYPL) and analyzed more than 14,000 articles from New York City newspaper The Sun published during November and December of 1894. The NYPL has scanned more than 200,000 newspaper pages as part of Chronicling America, an initiative of the National Endowment for Humanities and the Library of Congress that is working to develop an online, searchable database of historical newspapers from 1777 to 1963.
Their algorithm ranks peoples names by importance based on a number of attributes, including the context of the name, title before the name, article length and how frequently the name was mentioned in an article.
The algorithm learns these attributes only from the textit does not rely on external sources of information such as Wikipedia or other knowledgebases. But since the OCR text is garbled, it cant determine how effective these attributes are for ranking peoples names. So the researchers used statistical measures to model the many data attributes, which helped provide the desired ranking of names.
The researchers used two sets of the historic articles to test their algorithm: One set was the raw text produced from the OCR software, the other set had been cleaned up manually by New York City schoolchildren, who are using the articles to write biographies of local, notable people of the time.
When compared to the cleaned-up versions of the stories, the ranking algorithm is able to sort peoples names with a high degree of precision even from the noisy OCR text.
Dutta says their process has wide reaching implications for discovering important people throughout history.
We recently used this technique on African American literature from the Civil War to learn more about the important people during the era of slavery, says Dutta. Going forward, well be expanding the technique to examine relationships between people and build out the social networks of the past.
Dutta collaborated on the study with Aayushee Gupta, PhD, research scholar at the International Institute of Information Technology Bangalore Department of Computer Science.
The UB School of Management is recognized for its emphasis on real-world learning, community and economic impact, and the global perspective of its faculty, students and alumni. The school also has been ranked by Bloomberg Businessweek, Forbes and U.S. News & World Report for the quality of its programs and the return on investment it provides its graduates. For more information about the UB School of Management, visitmanagement.buffalo.edu.
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How Financial Institutions Are Trying To Make Sense Of ESG Data – Todayuknews – Todayuknews
The investor sentiment shift towards a conscientious society, a greener planet and improved governance practices is driving all financial institutions, whether big or small, traditional or fintech, to be fully in control of the ESG standings of their investment and underwriting positions, and embed ESG considerations into their reporting and risk management frameworks.
At the start of 2021, we saw a high-profile event where many professional hedge fund managers lost out due to retail investors purposefully making investments to push up stock prices; this activity was coordinated via social media. If firms were using more sophisticated ESG big data mining techniques to take account of sentiment analysis from social media feeds as part of risk monitoring exercises, for example, they would likely have detected that millions of retail customers were taking long positions in companies they were shorting.
Real-time reputational risk monitoring around ESG issues is now commonplace for most tier-one financial institutions. Sentiment monitoring of popular major social media platforms, such as Reddit and Twitter, that use well-chosen search terms can quickly pick up on reputational risk or issues surfacing online about a company.
The same goes for more exhaustive web searches for company references and regulatory filings; such exercises can spot when a company is gaining traction for the right or wrong reasons. Likewise, ESG analysts can use advanced data mining techniques to trawl through controversies or customer complaints and analyse them periodically to find common themes.
But, identifying the right ESG data source, deciphering it and collating it is not straightforward. Whereas financial reporting is standardised and in familiar formats, corporate reporting around ESG dimensions is anything but. Companies are not yet obliged to report most ESG-related information in a standardised manner; therefore, practice is fragmented and disparate. There are few standard templates, meaning that companies will publish different information in different ways.
Much ESG information is also self-reported through periodic sustainability reports and annual reports. Inevitably, this opens the possibility of greenwashing. Understandably enough, corporates are keen to paint themselves in the best light possible.
For that reason, a simple plug and play off-the-shelf ESG score is not good enough any longer. We have seen some firms inadvertently over-invest in carbon due to relying too heavily on these off-the-shelf ESG scores or indeed announcing a sustainability strategy that is incompatible with their current (on or off) balance sheet holdings.
Cutting through the noise, obtaining relevant information quickly, and analysing it effectively, is no small task. We have also seen the opening of something of a two-speed market. Big global institutions have been highly active in either building their own in-house data analytical capabilities for ESG or acquiring one of the new breed of fintech data aggregators or a combination of both. M&A in this space has been prolific.
This means that the big institutions can track data signals across multiple sources and decipher them almost instantly. To adjust their responses, they can react to breaking news or controversies, machine-read legal documents, or even analyse investor sentiments from social media. In recent years, even large credit rating agencies and market data providers went on a buying spree to remain competitive and cater to the ESG and sustainability-related demand. However, it is often far more challenging for smaller players with constrained budgets having to stretch across many competing priorities.
For any manager left in any doubt of the need to prioritise this if nothing else, recent market events should be your wake-up call to cast the data net much, much wider.
If even a sliver of a silver lining can be found in the pandemic, ESG moving well and truly into the mainstream of financial services has to be a good contender. ESG is now well on its way to redefining capital markets as we know it into a more transparent and conscientious one.
Budha Bhattacharya is head of analytics for ESG IQ, developed byKPMGLighthouse. He is also an industrial professor of finance and banking at UCL, Institute of Finance and Technology.
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How Financial Institutions Are Trying To Make Sense Of ESG Data - Todayuknews - Todayuknews
Decarbonisation and sector disclosure for metals & mining – ING Think
Decarbonisation and sector disclosures
The metals and mining sector is in the very early stages of a 30-year transitionto carbon neutral production. The roadto net zero carbon emissions, or carbon neutrality, will have a crucial impact on corporates in the sector through at least two channels: (a) through the growth in demand for various metals needed to build a green economy, and (b) through the decarbonisation of operating and business processes.
While the metals and mining sector is one of the biggest producers of carbon dioxide, emitting around 4.5Gt of CO2 equivalent per year, many of the world's largest miners haveset net-zero carbon targets,announcingprojects to 'green'the production ofaluminium, copper, steel, etc. Large-scale net-zero carbon projects remain elusivebutthe first steps to decarbonise have at least been taken.In June, for example, the Swedish consortium SSAB, LKAB & Vattenfall, produced the first hydrogen-reduced sponge iron (i.e. steel) on asmall scale.Meanwhile, alarge number of public corporates in the sector have begun toreport their carbon footprint by disclosing Scope 1, Scope 2 and in some cases, even Scope 3 emissions, although thesedisclosures aremostly voluntary and requireimprovement in the quality, frequency and credibility.
In thehighly energy-intensive aluminium industry, the most advanced companies are trying to maximise the use of renewable energy but are still far from producing 'green'aluminium across the supply chain. Projects to produce 'green' nickel and copper have been announced over the last couple of years but are still far from completion.Decarbonisation will require a huge amount of investmentinto new technologies, such as greenhydrogen production, carbon capture, storage and transportation. Technological transformation will trigger significant investment,which will be reflected in new greendebt and equity supply.
In this article, we discuss how the metals and mining sector is shifting towards carbon neutrality. We look at theemissionsproduced, the sector's current stance, the level of reporting from corporates andthe targets they have set. We also examine thesectors share in the supply of 'green' and sustainable debt in the total green finance supply, the potential amount of investmentrequired, and what it all means for investors.
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Decarbonisation and sector disclosure for metals & mining - ING Think
Xin Tian, Esq., Recognized for Excellence in Patent Law and Scientific Research – PRNewswire
Born in China, Mr. Tian's interest in science drew him to China Pharmaceutical University in the city of Nanjing. While completing a Bachelor of Science in biotechnology, he discovered that the United States and China had very different philosophies concerning the law and bared extremely different bodies of regulations regarding scientific research. Upon graduation, Mr. Tian relocated to New York and obtained a Master of Science in biology from New York University in 2011.
Thanks to his vast knowledge of data mining and information systems, Mr. Tian was subsequently recruited as an electronic health record consultant by Technical Consulting & Research, Inc. in Weston, Connecticut, from 2011 to 2013. From 2015 until 2017, he found success as a legal intern for Thomson Reuters at the media conglomerate's Eagan, Minnesota, office. During this period, Mr. Tian also earned a Doctor of Jurisprudence, cum laude, from the Law School at the University of Minnesota in 2016.
Since 2018, Mr. Tian has flourished as a research director for Beijing Qiansong Tech Development Co., Ltd., where he utilizes his expertise in patent law to support the advancement and commercialization of pharmaceuticals and technology. In 2019, he acquired two patents, both of which concern the sharing and protection of digital data. Mr. Tian also focuses on harnessing patents to foster a mutually beneficial relationship between the U.S. legal system and the science sector as a whole.
Alongside his responsibilities as a patent lawyer and scientific researcher, Mr. Tian has contributed articles to a number of professional publications and given presentations at several conferences organized by the Institute of Electrical and Electronic Engineers. He additionally harbors a deep passion for filmmaking and has participated in the creation of multiple short films. In 2014, his short film, "Lost in New York," was selected for an Award of Merit at the IndieFEST Film Awards.
In the coming years, Mr. Tian intends to secure at least two new patents while establishing a new business venture in his hometown of New York City. Though science tends to evolve at a much faster rate than the law, he believes that new laws must eventually be created to regulate the myriad of groundbreaking scientific developments on the horizon. Mr. Tian is proud to help regulatory bodies adapt to the inevitable emergence of new areas of scientific research, especially in relation to health care. In addition to filmmaking, he enjoys swimming and attending Broadway productions in his spare time.
About Marquis Who's Who:Since 1899, when A. N. Marquis printed the First Edition of Who's Who in America, Marquis Who's Who has chronicled the lives of the most accomplished individuals and innovators from every significant field of endeavor, including politics, business, medicine, law, education, art, religion and entertainment. Today, Who's Who in America remains an essential biographical source for thousands of researchers, journalists, librarians and executive search firms around the world. Marquis publications may be visited at the official Marquis Who's Who website at http://www.marquiswhoswho.com.
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Xin Tian, Esq., Recognized for Excellence in Patent Law and Scientific Research - PRNewswire
Sustainable projects and investments in the metals & mining sector – Hellenic Shipping News Worldwide
Given the lack of available data, calculating the direct environmental costs of corporate activity is not always straightforward. Investment in green and decarbonisation technologies is at a very early stage in the metals and mining sector. Companies are trying to cut their emissions, but at least at first, they are doing so without using expensive advanced technologies.
Despite setting long-term targets, the first projects are largely experimental, although more projects will be launched by 2024. The effectiveness of decarbonising technologies differs widely and new technologies need to be proven before they will be more widely adopted. That is why the level of disclosed investments is low and varies between just 5-10% as percentage of CAPEX among corporates, which have disclosed this data. However, the total investment eventually needed for long-term decarbonisation is huge, reaching hundreds of billions of dollars at least for the metals and mining sector alone. That new investment will create additional supply in the debt capital markets as soon as mass transformation in the sector has started.
There are several general routes to decarbonising steel, aluminium and most base metals:
Produce fewer products, which is unlikely to happen in the next few years, given the growing demand for metals from sectors impacted by the energy transition. Use clean or CO2 neutral energy from green hydrogen derived from renewables (wind, solar, hydro) or energy from sustainable biomass. Material / Energy Efficiency (ie, green hydrogen, direct reduced iron in steel, hybrid electric arc furnaces already used for steel, and to be tested by aluminium producers. A transition from coal to low carbon-intensive energy sources. Carbon capture and storage. Relatively new, not widely adapted technology and not really popular given the announced projects which focus more on green energy and coal replacement. Reuse & Recycle materials. A larger share of recycled and re-used metals will also have a positive impact on carbon emissions reduction. Replacement by materials produced in other sectors. Potential substitution of some metals by plastics, for example, will also have a positive impact on carbon emissions reduction. Offset carbon footprint by purchasing CO2 quotes from sectors capturing carbon emissions.
In other words, in order to emit less greenhouse gas, the sector needs to (a) produce less, (b) use advanced technology with more energy-efficient (less-energy intensive) production, capture and store as much carbon as possible and use less carbon-intensive energy sources.
The amount of known investment in green projects varies depending on the technology used to reduce carbon emissions.
Metals & mining sector: selected key green projects to follow up in different sub-sectors
Green finance is already booming, but not due to the metals & mining sector
The green finance market is growing rapidly. The total number of new green debt transactions by the corporate sector in the first eight months of 2021 exceeded the total number of green debt transactions in FY2020: 2063 vs 2001, according to BloombergNEF data. The total amount of new debt placed reached US$639bn, exceeding the US$452b placed in 2020. This data excludes green asset-backed security transactions, government and supranational transactions and US municipal green bonds.
During the first eight months of 2021, metals and mining corporates placed 33 new bonds across the globe, worth US$14.9b in total vs 10 new deals in 2020 worth a total of US$2.9b. The share of green bond transactions from the metals and mining sector is around 2% of the total number of deals by all corporates across the globe.
We believe the number of deals and the amount of debt placed by the metals and mining sector will grow rapidly, starting from 2023-2024, as a large number of corporates in the sector advance their carbon emissions reduction projects and as new technologies are adopted.Source: ING
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Is big tech the new East India Company? – IT PRO
Colonialism has left a deep and enduring mark on the world. Its roots have anchored themselves across the globe, and its long shadow maintains an unequal balance of power and wealth between the Global North and South.
There are many architects of colonialism, with the East India Company and its complex history of trade monopolies, war and slavery among the most notorious. The company established infrastructure, like railroads and ports, in foreign lands to extract raw materials, which, in turn, were used to manufacture goods. Many of these were often even sold back to the countries from which the materials were taken.This method allowed many imperialist entities to substantially expand their wealth at the expense of others.
Although these practices are largely confined to the past, some suggest big tech companies are following in their footsteps. These companies are, too, accused of engaging in trade monopolies, play a key role in the industry of war, and are even swept up in allegations of benefitting frommodern slaveryprevalent in supply chains. Where goods once traded included cotton, silk or tea, today theyre minerals mined to make electronic components, and information. Although the days of the East India Company areover, is big techtoday partaking in a form of modern colonialism by entrenching themselves in the new power networks of technology and data?
Digital colonialism, says Michael Kwet, a visiting fellow at Yale Law Schools Information Society Project, is the use of technology for the political, economic, and social domination of another territory. Its principally achieved through the ownership and control of the digital ecosystem, comprising software, hardware, network connectivity, data, platforms, and intellectual property (IP). Kwet adds the US is by far the leader, with China and Europe vying to close the gap, alongside some Global South-based corporations seeking to impose their influence abroad, in what he terms South-on-South colonialism.
Big tech takes advantage of a borderless internet to impose its products and services in poorer countries, maintaining its dominance by retaining control over technology and property. This means the Global North, in effect, controls a potentially highly lucrative part of their respective economies, Kwet says making inroads before local companies can. Uber, for instance, had set up in Africabefore African companies could compete on the same footing. Global South populations, in turn, play the role of passive user, consumer, and producer of low-level goods and services, ranging from mining to sweatshop labour.
Colonialists of the past established trade monopolies, frequently engaged in warfare and built the slave trade industry
To expand its empire across the Global South, Kwet says tech firms employvarious tactics. They setthe rules, like IP, and seizethe first-mover advantage. They also take advantage of networks by blocking interoperability between platforms, which could allow many services to operate instead of just a few.
Instead of colonising the land and establishing infrastructure for extraction, Kwet continues, through digital colonialism, tech giants colonise the technology for data extraction and rent. He adds that networks like Facebook extract data, process it on server farms, and use it to provide services in a scenario in which the South cannot compete. He explains the North also has heavy machinery in place, like cloud centres, that are required for data-driven services. Kwet says these arent easy to replicate,and are comparable to machinery once used to drill deep beneath the surface to mine minerals like diamonds and gold.
Big tech takes advantage of relationship patterns that were established historically, argues Olufunmilayo Arewa, Shusterman professor of business and transactional law at Temple University. In Africa, she says, European powers once exercised control over social, political, and economic institutions, with countries integrated into the global economic system primarily as a source of raw materials, including peopleand agricultural products. The colonies, in turn, imported manufactured goods from the powers that controlled them. Arewa believes these patterns are mirrored in the modern era, as African nations still maintain similar economic relationships with external powers with an added digital dynamic.
African countries are an important source of raw materials for the industrial and digital economies, including metals such as tantalum, which is important for electronic components, she says. Many countries in Africa, however, remain economically marginalised, in important respects, and a capacity gap is evident, particularly in key skills needed in the digital economy.
She says the introduction of new technologies draws attention to lawmaking within Africa, as many current laws and regulations were put in place before the digital revolution. The poor fit of existing regulations, many of which may predate modern technologies and business practices, isan issue of ongoing contestation globally, with the lack of regulatory oversight giving tech companies a green light to experiment in various territories as they see fit.
Undoing digital colonialism, Arewa suggests, would involve establishing relationships not built on colonial parallels. This would mean engaging with countries in the Global South as partners, rather than grounds for exploitation, she says. Several measures can be adopted from a trade perspective, meanwhile, according to Abhijit Das, head of the Centre for World Trade Organisation (WTO) Studies at the Indian Institute of Foreign Trade. He believes there should be no obligations on digital issues in free trade agreements at the WTO, such as forcing countries to liberalise e-commerce, with these agreements now the most important legal instrument for exacerbating digital colonisation. Countries should also have the flexibility to impose restrictions on cross-border data flows, and mandate localisation of servers within their territory. This, Abhijit says, will help developing countries create a vibrant domestic digital sector without becoming dependent on imports of digital products.
He adds countries must also be able to tax digital players, and nations must not be arm-twisted into not imposing taxes on foreign suppliers of digital services either. This is on top of governments being able to sufficiently regulate the digital sector, in light of provisions in existing trade agreements that tie the hands of governments.
The continued appropriation of data from the stream of the collective human experience is a phenomenon of historical significance, comparable with the original land grab, says Nick Couldry, professor of media, communications and social theory at LSE. He believes this data colonialism exacerbates historic power dynamics with regards to the worlds resourcesgiven that data, and the value derived from it, represents a completely new type of asset to grab and appropriate.
The continued appropriation of databy companies thriving in Silicon Valleyhas been likened to the original land grab
Couldry adds historiccolonialism evolved over the course of four centuries into complex imperialist political structures and cultures of racism. Its much too early to say, therefore, if data colonialism will ever evolve in the same way. He says, however, the underlying principles of colonialism, which centred on imposing Western superiority to appropriate resources across the world, will continue through the rhetoric of big data. This language of dataism, he adds, is based around the idea that the maximum amount of data must always be gathered, whatever the cost.
Data colonialism can, in principle, thrive everywhere, so it takes place not only in the Global South but also in the North. Ultimately, though, the key targets for data extraction will always be shaped by historical colonialism, Couldry continues, leaving many African countries vulnerable to the Trojan Horse offerings by companies like Facebook. He uses Facebook Free Basics as an example of a free, limited internet service for developing markets that was found to ignore local sites and prioritise Western ones instead. Where we think data colonialism is headed, as it grows within the power structures already inherited from capitalism, Couldry explains, is to make possible an entirely new type of social and economic order, based on much more intensive governance of people in the interests of value extraction."
The only way to end digital colonialism, Kwetadds, is by reconstructing the digital economy in a way that strips out the system of private property and production for profit, and replaces it with one organised by society to service society on egalitarian terms. This includes free and open source software, a phasing out of IP, stronger privacy laws, and a digital tech deal that would fund the production, maintenance, and access to technology for everyone. This must be formulated collectively by people across the world, he says, fuelled by a movement that intersects with broader political, economic, and social justice ambitions.
Couldry says hes optimistic about resisting data colonialism in the long term, provided were not misled by false solutions. He says a good starting point would be to imagine a world that refuses to intensify data colonialism and instead relies less on data-extracting platforms for the conduct of our daily lives. For this to be effective, though, it must be through collective means, as theres no other way to resist something as large as an entire social order except by imagining and starting to live out a different one.
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Dried Blood Spot Collection Cards Market In-Depth Analysis On Forthcoming Development And Forecast By 2030 – Scoop.co.nz
Thursday, 14 October 2021, 5:45 pmPress Release: MarketResearch.biz
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North America (The USA, Canada, and Mexico)
Europe (Germany,France, the UK, and the Rest of Europe)
Asia Pacific (China, Japan, India, and Rest of AsiaPacific)
Latin America (Brazil and the Rest ofLatin America.)
The Middle East &Africa (SaudiArabia, the UAE, South Africa, and the Rest of the MiddleEast & Africa).
Dried Blood Spot Collection Cards Marketreport consists of the estimation of market size for value(million USD) and volume. Both pinnacle-down and bottom-upstrategies were used to estimate and validate the marketsize of Dried Blood Spot Collection Cards Market, toestimate the scale of diverse different structuredsubmarkets within the ordinary market.
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IT Asset Disposition Market Performance In Upcoming Years Based On Market Share, Size, Supply Volume And Key Regions – Scoop.co.nz
Thursday, 14 October 2021, 5:43 pmPress Release: MarketResearch.biz
The report entitled "IT Asset Disposition Market: GlobalIndustry Analysis 2021-2030" is a complete study have a lookat providing huge statistics approximately the COVID 19impact on this market - By MarketResearch.Biz
Apresent-day market studies report posted via way of means ofMarketResearch.Biz presents inventive enterprise insightsregarding theincreased potentialities of the IT Asset Dispositionmarket all through the forecast size 2021-2030.According to the studies, because of the developing call forproduct withinside the precise region, amazing advances inIT Asset Disposition technology, and developing funding forresearch and development sports, the IT Asset Dispositionmarket is projected to develop at huge CAGR all through theforecast size. The data accumulated via way of means of ouranalysts are from credible number one and secondary assetsthat give answers to a few pinnacle queries associated withthe global IT Asset Disposition market.
The enterpriseintelligence has a look at the IT Asset Disposition marketcovers the estimation size of the market every in terms ofvalue (Mn/Bn USD) and volume (x units). In a bid toapprehend the increased opportunities within the IT AssetDisposition market, the market studies have beengeographically segmented into essential areas which may beprogressing quicker than the whole market. Each segment ofthe IT Asset Disposition market has been personally studiedon the idea of pricing, distribution, and call for prospectsfor the global areas.
Each market participantencompassed in the IT Asset Disposition market evaluation isclassified in keeping with its market percentage,manufacturing footprint, contemporary launches, agreements,ongoing R&D projects, and business agency tactics. Inaddition, the IT Asset Disposition market studies analyzedthe strengths, weaknesses, possibilities, and threats (SWOT)evaluation.
Conducts ordinary Global IT AssetDisposition Market Segmentation: This knowledgeable marketstudies report gives rewarding possibilities via way ofmeans of the use of breaking down complicated market factsinto segments on the premise of type outlook, end-use, andregion
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Someof the questions associated with the IT Asset Dispositionmarket addressed withinside the reportare:
North America (The USA, Canada, and Mexico)
Europe (Germany,France, the UK, and the Rest of Europe)
Asia Pacific (China, Japan, India, and Rest of AsiaPacific)
Latin America (Brazil and the Rest ofLatin America.)
The Middle East &Africa (SaudiArabia, the UAE, South Africa, and the Rest of the MiddleEast & Africa).
ITAsset Disposition Market report consists of the estimationof market size for value (million USD) and volume. Bothpinnacle-down and bottom-up strategies were used to estimateand validate the market size of IT Asset Disposition Market,to estimate the scale of diverse different structuredsubmarkets within the ordinary market.
Key playerswithin the market have been identified via secondarystudies, and their market shares have been determined vianumber one and secondary research. All percentage sharesplits, and breakdowns have been decided by the use ofsecondary assets and proven number oneassets.
Request Here For The Covid-19 ImpactOn IT Asset Disposition Market: https://marketresearch.biz/report/it-asset-disposition-market/covid-19-impact
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MarketResearch.biz is aprofessional market research, analytics, and solutions firmthat assists customers in making well-informed businessdecisions by providing strategic and tactical help. We are agroup of passionate and driven individuals that believe ingiving our all to whatever we do and never back down from achallenge. Data mining, information management, and revenueenhancement solutions and suggestions are all availablethrough MarketResearch.biz. We serve industries,individuals, and organizations all around the world, and wesupply our services in the quickest timefeasible.
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