Insights on the performance of the UK's science and innovation systemTera Allas
Summary slide pack drawing out main conclusions of the BIS report on "Insights from international benchmarking of the UK's science and innovation system"
Countries across the OECD have developed ambitious plans for STI policy to contribute to socio-technical transitions as the world recovers from the impact of the COVID-19 pandemic. These plans contain a broad variety of policy goals and instruments designed to support STI in a changing global environment, to tackle new and growing challenges in the context of the COVID-19 pandemic, and to apply new tools and approaches to STI policy making, especially digital tools, that emerged in the context of the pandemic.
Using trade data to examine the new political economy of resources
by Jaakko Kooroshy and Felix Preston
Energy, Environment and Resources - Chatham House.
Analysing and making data on global resource trade available has been a major part of the Chatham House Resources Futures project
Insights on the performance of the UK's science and innovation systemTera Allas
Summary slide pack drawing out main conclusions of the BIS report on "Insights from international benchmarking of the UK's science and innovation system"
Countries across the OECD have developed ambitious plans for STI policy to contribute to socio-technical transitions as the world recovers from the impact of the COVID-19 pandemic. These plans contain a broad variety of policy goals and instruments designed to support STI in a changing global environment, to tackle new and growing challenges in the context of the COVID-19 pandemic, and to apply new tools and approaches to STI policy making, especially digital tools, that emerged in the context of the pandemic.
Using trade data to examine the new political economy of resources
by Jaakko Kooroshy and Felix Preston
Energy, Environment and Resources - Chatham House.
Analysing and making data on global resource trade available has been a major part of the Chatham House Resources Futures project
Sweden - National System of Innovation SummaryTrevor Roald
This presentation summarizes the national system of innovation for Sweden. The presentation was prepared for the Simon Fraser University BUS 750 course. This course was part of the Management of Technology MBA program for 2015.
The global market for specialty optical fibers is expected to grow from $ 1,264.9 million in 2021 to $ 2,378.4 million in 2027. The market is expected to grow at a CAGR of 9.4% over the forecast period (2021-2027). Some of the market's key participants are Corning, Fiberguide, Fiberhome, Fujikura, Furukawa, INO, Ixblue, LEONI, Nufern, Opeak, Tongding, YOFC, ZTT. This report intends to identify significant growth areas and to explore relevant market strategies. This in-depth analysis delves into the global market for specialty optical fibers. The primary goal of this research is to examine the potential growth areas, significant trends, and the market's impact on the industry. The report also reviews the adoption of specialty optical fibers in both established and emerging markets.
The global market for polycarbonates is expected to grow from $ 11,721.7 million in 2021 to $ 13,303.9 million in 2027. The market is expected to grow at a CAGR of 1.8% over the forecast period (2021-2027). Some of the market's key participants are Asahi Kasei Chemical Corporation, Bayer/Covestro, Idemitsu Kosan., Mitsubishi, SABIC Innovative Plastics, Teijin Limited, Trinseo (Styron), Zhetie Daphoon Chemical. This report intends to identify significant growth areas and to explore relevant market strategies. This in-depth analysis delves into the global market for polycarbonates. The primary goal of this research is to examine the potential growth areas, significant trends, and the market's impact on the industry. The report also reviews the adoption of polycarbonates in both established and emerging markets.
VTT has undertaken an international study on the impact of its operations. As a result of this research, it was confirmed that VTT exerts a pivotal role as a promoter of the competitive ability of Finnish business enterprises and as a creator of well-being. VTT’s expertise is involved in every third Finnish innovation.
According to this new report, VTT is the most important R&D partner amongst public research organizations for Finnish enterprises. VTT’s role is emphasized particularly in innovations based on companies’ core technologies. According to the SFINNO database of Finnish technological innovations, no fewer than 43% of them contain VTT know-how. The research shows that cooperation with VTT also facilitates the entry of Finnish business enterprises and innovations into international markets. This trend has increased in vigour especially in recent years.
Promissory contracting in buyer-supplier relationships. The promise of contracts without ever getting a contract. Are there any chances to improve the economic position?
Sustaining Growth for Innovative Enterprises: Transatlantic Comparisons and I...enterpriseresearchcentre
Sustaining Growth for Innovative Enterprises: Transatlantic Comparisons and Implications for the UK. Presentation by Philip Shapira toWorkshop on Innovation and Local Growth Workshop Business
WBS at the Shard, May 28th 2015
The global market for soft magnetic materials is expected to grow from $ 2,335.4 million in 2021 to $ 2,466.7 million in 2026. The market is expected to grow at a CAGR of 1.1% over the forecast period (2021-2026). Some of the market's key participants are Acme Electronics, DMEGC, FERROXCUBE, HEC GROUP, Haining Lianfeng Magnet, JPMF, KaiYuan Magnetism, MAGNETICS, NBTM NEW MATERIALS, Nanjing New Conda, Samwha Electronics, TDG, TDK, Toshiba Materials, VACUUMSCHMELZE. This report intends to identify significant growth areas and to explore relevant market strategies. This in-depth analysis delves into the global market for soft magnetic materials. The primary goal of this research is to examine the potential growth areas, significant trends, and the market's impact on the industry. The report also reviews the adoption of soft magnetic materials in both established and emerging markets.
Lucintel forecasts that standard multilayers will remain the largest substrate type due to increasing demand in computer and communication industries. The rigid-flex substrate is expected to witness the highest growth during the forecast period due to growing demand for smartphone and display applications. #PrintedCircuitBoardMarket, #PCBMarket, #PrintedCircuitBoard
Sweden - National System of Innovation SummaryTrevor Roald
This presentation summarizes the national system of innovation for Sweden. The presentation was prepared for the Simon Fraser University BUS 750 course. This course was part of the Management of Technology MBA program for 2015.
The global market for specialty optical fibers is expected to grow from $ 1,264.9 million in 2021 to $ 2,378.4 million in 2027. The market is expected to grow at a CAGR of 9.4% over the forecast period (2021-2027). Some of the market's key participants are Corning, Fiberguide, Fiberhome, Fujikura, Furukawa, INO, Ixblue, LEONI, Nufern, Opeak, Tongding, YOFC, ZTT. This report intends to identify significant growth areas and to explore relevant market strategies. This in-depth analysis delves into the global market for specialty optical fibers. The primary goal of this research is to examine the potential growth areas, significant trends, and the market's impact on the industry. The report also reviews the adoption of specialty optical fibers in both established and emerging markets.
The global market for polycarbonates is expected to grow from $ 11,721.7 million in 2021 to $ 13,303.9 million in 2027. The market is expected to grow at a CAGR of 1.8% over the forecast period (2021-2027). Some of the market's key participants are Asahi Kasei Chemical Corporation, Bayer/Covestro, Idemitsu Kosan., Mitsubishi, SABIC Innovative Plastics, Teijin Limited, Trinseo (Styron), Zhetie Daphoon Chemical. This report intends to identify significant growth areas and to explore relevant market strategies. This in-depth analysis delves into the global market for polycarbonates. The primary goal of this research is to examine the potential growth areas, significant trends, and the market's impact on the industry. The report also reviews the adoption of polycarbonates in both established and emerging markets.
VTT has undertaken an international study on the impact of its operations. As a result of this research, it was confirmed that VTT exerts a pivotal role as a promoter of the competitive ability of Finnish business enterprises and as a creator of well-being. VTT’s expertise is involved in every third Finnish innovation.
According to this new report, VTT is the most important R&D partner amongst public research organizations for Finnish enterprises. VTT’s role is emphasized particularly in innovations based on companies’ core technologies. According to the SFINNO database of Finnish technological innovations, no fewer than 43% of them contain VTT know-how. The research shows that cooperation with VTT also facilitates the entry of Finnish business enterprises and innovations into international markets. This trend has increased in vigour especially in recent years.
Promissory contracting in buyer-supplier relationships. The promise of contracts without ever getting a contract. Are there any chances to improve the economic position?
Sustaining Growth for Innovative Enterprises: Transatlantic Comparisons and I...enterpriseresearchcentre
Sustaining Growth for Innovative Enterprises: Transatlantic Comparisons and Implications for the UK. Presentation by Philip Shapira toWorkshop on Innovation and Local Growth Workshop Business
WBS at the Shard, May 28th 2015
The global market for soft magnetic materials is expected to grow from $ 2,335.4 million in 2021 to $ 2,466.7 million in 2026. The market is expected to grow at a CAGR of 1.1% over the forecast period (2021-2026). Some of the market's key participants are Acme Electronics, DMEGC, FERROXCUBE, HEC GROUP, Haining Lianfeng Magnet, JPMF, KaiYuan Magnetism, MAGNETICS, NBTM NEW MATERIALS, Nanjing New Conda, Samwha Electronics, TDG, TDK, Toshiba Materials, VACUUMSCHMELZE. This report intends to identify significant growth areas and to explore relevant market strategies. This in-depth analysis delves into the global market for soft magnetic materials. The primary goal of this research is to examine the potential growth areas, significant trends, and the market's impact on the industry. The report also reviews the adoption of soft magnetic materials in both established and emerging markets.
Lucintel forecasts that standard multilayers will remain the largest substrate type due to increasing demand in computer and communication industries. The rigid-flex substrate is expected to witness the highest growth during the forecast period due to growing demand for smartphone and display applications. #PrintedCircuitBoardMarket, #PCBMarket, #PrintedCircuitBoard
Daily Hire of your own Non Executive Director, General Manager, Purchasing & Supply Chain Director, Logistics Controller, Executive Mentor & Coach, Speaker, Lecturer and Session Chairman
II-SDV 2017: What is Innovation and how can we measure it?Dr. Haxel Consult
Innovation means many different things to many people. Ask five people and you will likely get ten answers. But all agree that it is a key driver behind the success of organizations, the growth of economies and provides major contributions in addressing global problems. This presentation will examine various analytical methods and possible metrics for measuring innovation and determining relative performance of organizations. The challenges involved in assessing innovation and how these can be addressed will be explored. The pros and cons associated with the metrics identified will also be discussed with a view to identifying a practical method for assessing innovation.
K-Means Clustering for Analyzing Productivity in Light of R & D SpilloverZac Darcy
The differences between countries go far beyond the physical and territorial aspects. Hence, for analytical
purposes, it is essential to classify countries in groups based on some of their attributes. Investment in
Research and Development (R&D) influences innovations which in turn stimulates growth of a country. In
this context the productivity of the R&D expenditure is analysed pragmatically. Present study aims to
discover impact of R&D expenditure on its productivity in terms of number of journal articles published,
patent applications filed and trademark applications registered. A more significant analysis by means of
designing prominent clusters of countries by applying unsupervised learning has been presented. In this
division, percentage of Gross Domestic Product (GDP) spending on R&D and its productivity are
considered.
K-Means Clustering for Analyzing Productivity in Light of R & D SpilloverZac Darcy
The differences between countries go far beyond the physical and territorial aspects. Hence, for analytical
purposes, it is essential to classify countries in groups based on some of their attributes. Investment in
Research and Development (R&D) influences innovations which in turn stimulates growth of a country. In
this context the productivity of the R&D expenditure is analysed pragmatically. Present study aims to
discover impact of R&D expenditure on its productivity in terms of number of journal articles published,
patent applications filed and trademark applications registered. A more significant analysis by means of
designing prominent clusters of countries by applying unsupervised learning has been presented. In this
division, percentage of Gross Domestic Product (GDP) spending on R&D and its productivity are
considered.
K-MEANS CLUSTERING FOR ANALYZING PRODUCTIVITY IN LIGHT OF R & D SPILLOVERZac Darcy
The differences between countries go far beyond the physical and territorial aspects. Hence, for analytical
purposes, it is essential to classify countries in groups based on some of their attributes. Investment in
Research and Development (R&D) influences innovations which in turn stimulates growth of a country. In
this context the productivity of the R&D expenditure is analysed pragmatically. Present study aims to
discover impact of R&D expenditure on its productivity in terms of number of journal articles published,
patent applications filed and trademark applications registered. A more significant analysis by means of
designing prominent clusters of countries by applying unsupervised learning has been presented. In this
division, percentage of Gross Domestic Product (GDP) spending on R&D and its productivity are
considered.
beyond patents:scholars of innovation use patenting as an indicator of innova...Jeffrey Funk
This paper discusses the problems with using patents as a measure of innovation and papers as a measure of science. It also uses data to show the problems. for example, the number of patent applications and awards have grown by six times since 1984 while productivity growth has slowed.
This presentation explains the basics of patent data for economics and management research. It explains among others the main uses of patent data in the literature, the main patent-based measures, and the most important data sources. It was prepared for various PhD summer schools. Great resource for graduate students.
This paper addresses the types of knowledge that are needed in entrepreneurial firms using a unique data base of executives and directors for all IPOs filed between 1990 and 2010. Using highest educational degrees as a proxy for educational knowledge, it shows that 85% of those with PhDs are concentrated in the life sciences and ICT (information and communication technology) industries and second, that those in the ICT industries are concentrated at lower layers in a “digital stack” of industries, ranging from semiconductors and other electronics at the bottom layer to computing and Internet infrastructure at the middle layer and Internet content, commerce, and services in the top layer. Third, industries with fewer PhDs have more bachelor’s and MBA degrees suggesting that PhDs are being replaced by them and not M.S. degrees. Fourth, age is higher for industries with the most PhDs thus suggesting a greater need for experiential knowledge in industries with greater needs for educational knowledge. Fifth, the number of Nobel Prizes tracks industries with high fractions of PhDs.
Dissemination Patterns of Technical Knowledge in the IR Industry: Scientometric Analysis of Citations in IR-related Patents
Ricardo Eito-Brun (Universidad Carlos III de Madrid, Spain)
The purpose of this paper is to identify the most influential institutions and journals on information retrieval and text mining through the analysis of the citations in the patents issued in the period between 1990 and 2013.
Bibliographic citations received by different academic journals in a representative set of patents related to the text mining area are analyzed applying sound and consolidated statistical techniques. Besides identifying the most influential academic journals, conferences and institutions in the period under study, the conclusions of this research are also useful to identify the most relevant and productive organizations (those with a higher number of patents) and those organizations whose patents have received a major number of citations.
The analysis also permits to obtain a general view of the disseminations patterns in the consumption of the products of academic and technical research. The period under study offers interesting conclusions regarding the impact of the Web on the Intellectual Property Rights (IPR) strategies of companies building Information Retrieval and Text Mining software solutions, and how the information retrieval and access industry has evolved in the recent years.
IC-SDV 2018: Anna Maria Villa (PATENTSIGHT) Do Mergers Stifle Innovation? – E...Dr. Haxel Consult
The European Commission recently investigated the anti-competitive effects of the Dow/DuPont merger. Key to their analysis was how innovation competition might be affected if two important innovators come together in a concentrated market. A thorough patent analysis was carried out on the PatentSight business intelligence platform. The most valuable patents were identified using the Patent Asset Index™. The results showed a significant combined patent share of Dow and DuPont for the most valuable patents in crop protection. The European Commission thus decided that the merger of both companies be conditional on the divestiture of major parts of DuPont's global crop protection business.
Economic indicators and statistics are the baseline of any measurement, but when it comes to
measuring innovation, the schools of thoughts are divided on what are the most relevant and reliable
indicators and metrics to assess the development of a specific technology not only within its wide
range of applications, but also against another technology? The younger the technology in question,
the more difficult it is to find the right indicators for the measurement of its innovative power at a
time when such measurement is most needed, in order to evaluate the efficiency of policy making
regarding this technology.
The measurement of the innovative power of a General Purpose Technology (GPT), like
nanotechnology, can benefit from adoption of commonly accepted economic indicators, such as
intellectual property creation, creation of enterprises, manufacture of value-added products and
supply of relevant services, but new indicators need to be proposed, in order to specifically grasp the
disruptive and revolutionary power of the GPT.
This study aims to stress-test the use of traditional indicators for the measurement of
nanotechnology innovation, in order to specifically allow for comparison with other technological
developments and between economic markets, while gaining insight into the shortcomings of these
traditional indicators and aiming to identify needs for better suited future indicators to be created.
In 2009, when working for the government of Region of Peel, Canada, we successfully used patent mapping to identify US patent intensive companies as the potential employers for highly educated immigrants. Following this initiative, we have created and been maintaining a
Canadian patent competitive intelligence (CI) database to track the latest patent competence of over 2700 Canadian entities on a weekly basis. This database provides intelligence for long-term strategic research planning and short-term tactics.
Similar to 130-Ince Business patenting and publishing (20)
OECD bibliometric indicators: Selected highlights, April 2024innovationoecd
This document summarizes bibliometric indicators from the OECD based on data from Elsevier's Scopus database. It shows trends in scientific publication output, citation rates, collaboration, and mobility for countries and regions from 2011-2022. It also includes perspectives on artificial intelligence research and research related to long term challenges like environmental science and energy. The data can be explored further using the OECD's STI.Scoreboard platform (https://oe.cd/sti-scoreboard) and OECD Data Explorer (https://data-explorer.oecd.org) bibliometric datasets.
Presentation of the OECD Science, Technology and Innovation Outlook 2023innovationoecd
OECD Science, Technology and Innovation Outlook 2023: Enabling Transitions in Times of Disruption.
Find out more and access the publication at https://www.oecd.org/sti/science-technology-innovation-outlook/
Countries across the OECD have developed ambitious plans for STI policy to contribute to socio-technical transitions as the world recovers from the impact of the COVID-19 pandemic. These plans contain a broad variety of policy goals and instruments designed to support STI in a changing global environment, to tackle new and growing challenges in the context of the COVID-19 pandemic, and to apply new tools and approaches to STI policy making, especially digital tools, that emerged in the context of the pandemic.
Countries across the OECD have developed ambitious plans for STI policy to contribute to socio-technical transitions as the world recovers from the impact of the COVID-19 pandemic. These plans contain a broad variety of policy goals and instruments designed to support STI in a changing global environment, to tackle new and growing challenges in the context of the COVID-19 pandemic, and to apply new tools and approaches to STI policy making, especially digital tools, that emerged in the context of the pandemic.
Analysis of scientific publishing activity: Key findings, December 2021innovationoecd
OECD bibliometric data has been updated and now includes preliminary data for 2020. The indicators are based on Scopus Custom Data, Elsevier, Version 5.2021.
Find out more about OECD work on scientometrics and bibliometrics at https://oe.cd/scientometrics
Recommandation du Conseil de l'OCDE sur l'amélioration de l'accès aux données...innovationoecd
Optimiser les bénéfices intersectoriels et transfrontières de l'accès aux données et de leur partage, tout en protégeant les droits des parties prenantes
Recommandation adoptée en octobre 2021. En savoir plus : https://oe.cd/easd21fr
OECD Council Recommendation on Enhancing Access to and Sharing of Datainnovationoecd
Maximising the cross-sectoral and cross-border benefits of data access and sharing while protecting the rights of stakeholders
Recommendation adopted in October 2021. Find our more at https://oe.cd/easd21
2020.01.12 OECD STI Outlook launch - Impacts of COVID-19: How STI systems res...innovationoecd
On January 12, join OECD iLibrary, the OECD Directorate for Science, Technology and Innovation, and ACRL/Choice for a presentation of the key findings from the new STI Outlook, followed by a conversation with OECD STI Director Andrew Wyckoff and RAND Corporation Senior Policy Researcher Marjory Blumenthal about the implications for research and innovation in the US.
Read more at https://oe.cd/STIO21-EES
Global Forum on Digital Security for Prosperity November 2019 event photo bookinnovationoecd
Global Forum on Digital Security for Prosperity: Encouraging Digital Security Innovation, London, 14-15 November 2019. Programme and event information available at oe.cd/gfdsp
Global Forum on Digital Security for Prosperity December 2018 event photo bookinnovationoecd
These photos were taken at the first meeting of the OECD Global Forum on Digital Security for Prosperity, held on 13-14 December 2018 in Paris, France. The Global Forum brings together experts and policy makers to foster regular sharing of experiences and good practice on digital security risk and its management, as well as mutual learning and convergence of views on digital security for economic and social prosperity. It is an international multilateral and multidisciplinary setting for all stakeholder communities. Global Forum website: oe.cd/gfdsp
#GFDSP
Participants at the December 2018 event examined the roles and responsibilities of actors for digital security and cybersecurity, with a focus on good practice for the governance of digital security risk in organisations, and improving digital security of technologies throughout their lifecycle.
The event included speakers from:
- Cybersecurity agencies of France (ANSSI), Germany (BSI), Israel (INCD), United States (DHS CISA), Malaysia, European Union (ENISA)
- Ministries from Brazil (Foreign Affairs), France (Foreign Affairs), Germany (Foreign Affairs), Japan (Min. of Economy, Trade and Industry - METI, Min. of Internal Affairs and Communication - MIC), Mexico (Instituto Federal de
Telecomunicaciones), Netherlands (Economic Affairs and Climate Policy), Norway (Min. of Local Government and Modernisation), United Kingdom (Dept. of Culture, Media, and Sports - DCMS), United States (Dept. of Commerce, Dept. of Homeland Security - DHS)
- Business: A.P. Møller – Maersk, Airbus, Deutsche Telekom, Intel, Microsoft, TÜV SÜD, YesWeHack.
- Civil society, Academia, Technical community (incl. CERT Brazil)
- Other organisations: Federation of European Risk Management Associations (FERMA), Digital Infrastructure Netherlands Foundation (DINL), FS-ISAC, Internet Society ISOC & Online Trust Alliance OTA, BEUC, CEPS, BIAC, CSISAC, ITAC
Other key speakers included:
- Angel Gurría, Secretary-General, OECD
- Guillaume Poupard, Director General, Agence Nationale de la Sécurité des Systèmes d'Information, ANSSI, France
- Pascal Andrei, Chief Security Officer, Airbus
- Arne Schönbohm, President, Federal Office for Information Security (BSI), Germany
- Bruce Schneier, Author
- Marietje Schaake, Member of European Parliament
- Henri Verdier, Ambassador for Digital Affairs, France
- Ambassador Thomas Fitschen, Special Representative for Cyber Foreign Policy and
Cybersecurity, Germany
- Matthew Travis, Deputy Director, Cybersecurity and Infrastructure Security Agency (CISA), Department of Homeland Security (DHS), United States
- Carlos da Fonseca, Head of the Information Society Division, Ministry of Foreign Affairs, Brazil
The Oslo Manual is the international reference guide for collecting and using data on innovation. In this new 4th edition, published in October 2018, the manual has been updated to take into account a broader range of innovation-related phenomena as well as the experience gained from recent rounds of innovation surveys in OECD countries and partner economies and organisations.
OECD Digital Economy Outlook 2017: Setting the foundations for the digital tr...innovationoecd
The Digital Economy Outlook 2017 shows how Internet infrastructure and usage varies across countries and firms in the OECD area. It looks at policy implications of the digital transformation as well as a wide array of trends. Report available at http://oe.cd/deo2017 - See also the OECD Going Digital project: www.oecd.org/going-digital
OECD Digital Economy Outlook 2017: Presentation at Global Parliamentary Netwo...innovationoecd
The Digital Economy Outlook 2017 shows how Internet infrastructure and usage varies across countries and firms in the OECD area. It looks at policy implications of the digital transformation as well as a wide array of trends. Report available at http://oe.cd/deo2017
Presentation for the OECD Telecommunication and Broadcasting Review of Mexico...innovationoecd
4 years after Mexico overhauled its telecommunication and broadcasting sectors with a major legal and regulatory reform, a new OECD Review assesses the impact on communication markets, businesses and households. It recommends further measures for the telecommunication and broadcasting sectors to build on this progress and ensure Mexico reaps maximum benefits from the digital transformation. Gabriela Ramos, the OECD Chief of Staff, G20 Sherpa and Special Advisor to the Secretary-General, presented the OECD Telecommunication and Broadcasting Review of México 2017 along with Andrew Wyckoff, Director of Science, Technology and Innovation, OECD, Communications and Transport Minister Gerardo Ruiz Esparza and Federal Telecommunications Institute President Commissioner Gabriel Oswaldo Contreras Saldívar on 31 August 2017 at the Hyatt Regency Hotel in Mexico City.
Groningen Growth and Development Centre (GGDC) 25th anniversary | 28-30 June ...innovationoecd
Over the years, OECD work on productivity and globalisation has closely mirrored the work of the GGDC on these issues, reflecting considerable cooperation over the past 25 years. Dirk Pilat, Deputy Director of the OECD Directorate for Science, Technology and Innovation, presented OECD work on productivity and Global value chains - an overview and cooperation with the GGDC.
Levelwise PageRank with Loop-Based Dead End Handling Strategy : SHORT REPORT ...Subhajit Sahu
Abstract — Levelwise PageRank is an alternative method of PageRank computation which decomposes the input graph into a directed acyclic block-graph of strongly connected components, and processes them in topological order, one level at a time. This enables calculation for ranks in a distributed fashion without per-iteration communication, unlike the standard method where all vertices are processed in each iteration. It however comes with a precondition of the absence of dead ends in the input graph. Here, the native non-distributed performance of Levelwise PageRank was compared against Monolithic PageRank on a CPU as well as a GPU. To ensure a fair comparison, Monolithic PageRank was also performed on a graph where vertices were split by components. Results indicate that Levelwise PageRank is about as fast as Monolithic PageRank on the CPU, but quite a bit slower on the GPU. Slowdown on the GPU is likely caused by a large submission of small workloads, and expected to be non-issue when the computation is performed on massive graphs.
Explore our comprehensive data analysis project presentation on predicting product ad campaign performance. Learn how data-driven insights can optimize your marketing strategies and enhance campaign effectiveness. Perfect for professionals and students looking to understand the power of data analysis in advertising. for more details visit: https://bostoninstituteofanalytics.org/data-science-and-artificial-intelligence/
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Empowering the Data Analytics Ecosystem: A Laser Focus on Value
The data analytics ecosystem thrives when every component functions at its peak, unlocking the true potential of data. Here's a laser focus on key areas for an empowered ecosystem:
1. Democratize Access, Not Data:
Granular Access Controls: Provide users with self-service tools tailored to their specific needs, preventing data overload and misuse.
Data Catalogs: Implement robust data catalogs for easy discovery and understanding of available data sources.
2. Foster Collaboration with Clear Roles:
Data Mesh Architecture: Break down data silos by creating a distributed data ownership model with clear ownership and responsibilities.
Collaborative Workspaces: Utilize interactive platforms where data scientists, analysts, and domain experts can work seamlessly together.
3. Leverage Advanced Analytics Strategically:
AI-powered Automation: Automate repetitive tasks like data cleaning and feature engineering, freeing up data talent for higher-level analysis.
Right-Tool Selection: Strategically choose the most effective advanced analytics techniques (e.g., AI, ML) based on specific business problems.
4. Prioritize Data Quality with Automation:
Automated Data Validation: Implement automated data quality checks to identify and rectify errors at the source, minimizing downstream issues.
Data Lineage Tracking: Track the flow of data throughout the ecosystem, ensuring transparency and facilitating root cause analysis for errors.
5. Cultivate a Data-Driven Mindset:
Metrics-Driven Performance Management: Align KPIs and performance metrics with data-driven insights to ensure actionable decision making.
Data Storytelling Workshops: Equip stakeholders with the skills to translate complex data findings into compelling narratives that drive action.
Benefits of a Precise Ecosystem:
Sharpened Focus: Precise access and clear roles ensure everyone works with the most relevant data, maximizing efficiency.
Actionable Insights: Strategic analytics and automated quality checks lead to more reliable and actionable data insights.
Continuous Improvement: Data-driven performance management fosters a culture of learning and continuous improvement.
Sustainable Growth: Empowered by data, organizations can make informed decisions to drive sustainable growth and innovation.
By focusing on these precise actions, organizations can create an empowered data analytics ecosystem that delivers real value by driving data-driven decisions and maximizing the return on their data investment.
Opendatabay - Open Data Marketplace.pptxOpendatabay
Opendatabay.com unlocks the power of data for everyone. Open Data Marketplace fosters a collaborative hub for data enthusiasts to explore, share, and contribute to a vast collection of datasets.
First ever open hub for data enthusiasts to collaborate and innovate. A platform to explore, share, and contribute to a vast collection of datasets. Through robust quality control and innovative technologies like blockchain verification, opendatabay ensures the authenticity and reliability of datasets, empowering users to make data-driven decisions with confidence. Leverage cutting-edge AI technologies to enhance the data exploration, analysis, and discovery experience.
From intelligent search and recommendations to automated data productisation and quotation, Opendatabay AI-driven features streamline the data workflow. Finding the data you need shouldn't be a complex. Opendatabay simplifies the data acquisition process with an intuitive interface and robust search tools. Effortlessly explore, discover, and access the data you need, allowing you to focus on extracting valuable insights. Opendatabay breaks new ground with a dedicated, AI-generated, synthetic datasets.
Leverage these privacy-preserving datasets for training and testing AI models without compromising sensitive information. Opendatabay prioritizes transparency by providing detailed metadata, provenance information, and usage guidelines for each dataset, ensuring users have a comprehensive understanding of the data they're working with. By leveraging a powerful combination of distributed ledger technology and rigorous third-party audits Opendatabay ensures the authenticity and reliability of every dataset. Security is at the core of Opendatabay. Marketplace implements stringent security measures, including encryption, access controls, and regular vulnerability assessments, to safeguard your data and protect your privacy.
1. The current database project aims at developing science and innovation indicators through patent and publication data
for world top business R&D spenders.
The EU Industrial R&D Investment Scoreboard of European Commission (The Scoreboard) represents around 90% of
total world business R&D spending in 2014. 1 The project firstly matches this highly representative firm sample with their
patent and publication data. . The core constructed database combine firms’ science and innovation indicators with firms’
financials data.
Furthermore, cleaning of researcher names and matching between inventors and authors allow for identification of two
important information about the private sector researchers: (i) Firm-level author-inventor pairs among researchers that
are active in publishing and patenting and (ii) Accurate information about the inventor teams of patents and author teams
of publications such as their size, geographical dispersion and affiliations.
The following sections describe the database construction, main results of matching of the Scoreboard with PATSTAT
and SCOPUS and then give further insights developed by the cleaning and matching of the researchers’ data of patent
and publications.
2. Data and Methodology
4. Conclusion
1. Introduction
3. Results
5. References
3.Results (Continued)
Business patenting and publishing:
Evidence from world top R&D spenders
Ela INCE
ULB, SBS – EM
European Center for Advanced Research in Economics and Statistics (ECARES)
The International Centre for Innovation, Technology and Education Studies (iCite)
Arora, A., Belenzon, S., & Patacconi, A. (2015). Killing the Golden Goose? The Decline of Science in Corporate R&D,
NBER Working Paper No. 20902.
Czarnitzki, D., & Kraft, K. (2010). On the profitability of innovative assets. Applied Economics, 42(15), 1941–1953.
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6. Acknowledgements
3.4. University – industry links in scientific publications
3.2. Firm-level author – inventor pairs
3.1. Patenting and publishing propensities
3.3. Technological applicability and team size in patenting
3.1.1. Patenting and publishing of top 10
Dividing number of patents and publications by R&D
spending for top R&D spenders exhibit clustering
depending on the main sector of the firm.
Samsung and Siemens mainly active on industrial goods
& services sector hold the highest patenting propensities.
However, Samsung, being active on more than one
sector, publishes more and patents less on average with
respect to its overall R&D spending.
Firms active on automobiles sector have higher patenting
but lower publishing propensities than firms active in
health care sector except for Johnson & Johnson.
Microsoft is the only software-technology firm shown
among the sample.
3.1.2. Patenting and publishing by sector
To ease the reading of graphics, sectors are aggregated
to Industry Classification Benchmark (ICB) 2-digit sector
codes.
The results exhibit differences in terms of patenting and
publishing propensities across sectors.
While some sectors are more intensively patenting such
as industrial goods & services and automobiles & parts,
other sectors such as food & beverage and utilities are
more intensive in publishing.
Except for financial services, bank and insurance sectors,
top business R&D spenders are substantially publishing
and patenting as a result of their R&D activities.
2.1. Matching the Scoreboard with PATSTAT & SCOPUS
The Scoreboard allows for building an unbalanced firm
panel with capital expenditure, operational profit, R&D
spending and employment information for the years 2000-
2013.
With the use of HAN database for PATSTAT, 79 % of the
Scoreboard firms is matched with patent applicant names.
The matching rate of the Scoreboard firms with SCOPUS is
70%.
The matching procedure allows constructing firm, sector,
patent and publication level variables for the project.
2.2. Cleaning and matching of author–inventor names
Researchers that patent are called inventors and
researchers that publish articles in scientific journals are
called authors.
Author-inventor names are cleaned and harmonised. The
first letter of first name and the full last name matching
between the author and inventor names for each
Scoreboard firm is applied for the author-inventor name
matching.
Firm-level author-inventor pairs construct on average 9.7%
of the total number of authors and 8.5% of the total
inventors of the firms.
3.3.1. Team behaviour
Firm - level inventor names’ harmonisation is implemented
for the inventor names of European Patent Office (EPO)
patents.
Cleaning and taking into account the commonness of the
first names and the surnames of inventors, inventor names
are harmonised within a firm.
The results show that the size of the patenting teams of
firms is significantly rising over time on average, leaving a
small sample of travel & leisure sector firms as an
exception.
3.3.2. Specialization vs generalization
The extent of technological applicability in patenting are
measured by the number of 4-digit international patent
classification (IPC) codes given to each patent.
IPC codes of patents represent the different areas of
technology to which they pertain.
Significant decline in the number of IPC codes of firms’
patents between 2000 and 2010 points out specialisation of
firms’ patenting over time. The only exception for this trend
is, as for the size of patenting teams, the travel and leisure
sector firms.
The percentage of academia affiliated authors within the
team of authors per publication is constructed through the
cleaning and harmonisation of author names per firm. This
gives possibility to look at the evolution of percentage of
authors from academia per publication over time.
The graphic shows the evolution for countries where the
most of the private sector publishing takes place among
the headquarter countries of top business R&D spenders.
Chinese firms have experienced the most significant rise
in university - industry links for the period 2000 – 2010.
European firms lag their American and Asian counterparts.
Correcting the EU sample size
The Scoreboard provides a separate list of the
top European business R&D spenders which leads to
a bias in the sample in terms of size between
the EU and the non - EU firms.
Excluding the medium size of the EU firms from the
full sample, the results for the low levels of university –
industry links remain significant between
the EU and the non - EU firms.
0
.1.2.3.4
Average%ofauthorsfromacademia
2000 2002 2004 2006 2008 2010
year
USA France Germany
UK Japan China
Contact Information:
SBS-EM, Université Libre de Bruxelles
Avenue F.D. Roosevelt 50, Brussels, Belgium
Phone: +32 (0)650 3929
Email: ela.ince@ulb.ac.be
3.2.1. Publishing of inventors
An inventor that doesn’t appear in scientific articles as an
author is called “Only Inventor” whereas the one that
publishes scientific articles in journals is called “Author
Inventor”.
Inventor – level patent quality and quantity variables are
constructed as follows through patent data:
i. Patent quality: forward citations from 3 - year window
corrected by patent family size and technology codes.
ii. Patent quantity: patent divided by the size of the
inventor team
Testing the difference between the average patenting
quality and the patenting quantity suggests that inventors
that are also active in publishing are significantly making
better and more patents than the inventors that are
concentrated only on patenting:
3.2.2. Patenting of authors
An author of a firm that is not listed among the listed
inventors of firm patents is called “Only Author” whereas a
firm author that is also active in firm patenting is called
“Inventor Author”.
Author - level publication quality and quantity variables
are constructed as follows through publication data:
i. Publication quality: publication weighted by their
journal impact factor.
ii. Publication quantity: publication divided by the size of
the publisher team.
Testing the difference between the average publishing
quality and quantity per author suggests that authors that
are also active in patenting are significantly making better
and more publications than their counterparts that only
publish:
The database is a joint project with Lauriane Dewulf, Prof. Michele Cincera and Prof. Nicolas van Zeebroeck.
I thank all members of iCite for the advice on the data.
0 .2 .4 .6 .8 1
Insurance
Banks
Financial Services
Utilities
Technology
Media
Travel & Leisure
Retail
Food & Beverage
Real Estate
Telecommunications
Oil & Gas
Automobiles & Parts
Basic Resources
Personal & Household Goods
Construction & Materials
Chemicals
Health Care
Industrial Goods & Services
Sectors
patent propensity publication propensity
The developed science and innovation indicators for the world top business R&D spenders allow for investigating various
questions in the literature with a highly representative sample.
First of all, as for Kaiser (2009) and Czarnitzki & Kraft (2010), the database generates profitability variable measured by
operational profit divided by sales and allows for looking at the impact of the innovative assets on the firm performance.
Furthermore, through patent and publication data and indicators generated by their combination, it is possible to make a
comparative analysis on their contribution or on firms’ preferences on the disclosure of innovation through patents and
publications as Arora et al (2015).
Second, following Jones et al (2008), research team organisations - technological behaviour in innovation could provide
evidence for the literature from private sector patenting. Furthermore, publication data enables to observe linkages
between industry and other institutions through authors’ affiliations.
Lastly, author - inventor pairs may lead to contribute to current strand of literature on author - inventor and patent –
publication pairs. Following Debackere et al., (2009), the project adds one more level to the matching procedure which is
firm - level matching and may generate firm-level patent-publication pairs. This extends the literature concentrated on
sector level analysis, on small sample of firms or on academic patent-publication pairs.
1The 2015 EU Industrial R&D Investment Scoreboard: http://iri.jrc.ec.europa.eu/scoreboard.html
SAMSUNG
GSK PFIZER
FORD
MICROSOFT
DAIMLER
GM
VW
SIEMENS
J&J
0
.2.4.6.8
0 .05 .1 .15 .2
Publishing propensity (Number of publications/€m)'
Top Business R&D Spenders
Automobiles
Basic Resources
Chemicals
Construction
Food & Beverage
Health Care
Industrials
Media
Oil & Gas
HH Goods
Retail
Technology
Telecomm.
Travel & Leisure
Utilities
Automobiles
Basic Resources
Chemicals
Construction
Food & Beverage
Health Care
Industrials
Media
Oil & Gas
HH Goods
Retail
Technology Telecommunications
Travel & Leisure
Utilities
1
1.5
2
2.5
3
2 2.5 3 3.5 4 2 2.5 3 3.5 4
year 2000 year 2010
Applicability-IPCcodesperpatent
Team size - Number of inventors per patent
Variable Obs.
Only
Inventor
Obs.
Auth.
Inventor
Mean
Diff.
Quality 1914119 0.643 277124 0.697 -0.053***
Quantity 1914162 1.670 277134 2.034 -0.365***
(*) if p < 0.05, (**) if p < 0.01, and (***) if p < 0.001.
Variable Obs. Only
Author
Obs. Invt.
Author
Mean
Diff.
Quality 2337323 1.771 227285 2.557 -0.786***
Quantity 2337319 1.307 227285 1.848 -0.542***
(*) if p < 0.05, (**) if p < 0.01, and (***) if p < 0.001.