Getting Patents and Economic Data to Speak to Each Other: An “Algorithmic Links with Probabilities” Approach for Joint Analyses of Patenting and Economic Activity
Getting Patents and Economic Data to Speak to Each Other: An “Algorithmic Links with Probabilities” Approach for Joint Analyses of Patenting and Economic Activity

Author: Travis J. Lybbert

Publisher: WIPO

Published:

Total Pages: 32

ISBN-13:

DOWNLOAD EBOOK

In this paper, the authors describe and explore a new algorithmic approach to constructing concordances between the International Patent Classification (IPC) system and industry classification systems that organize economic data. This ‘Algorithmic Links with Probabilities’ (ALP) approach incorporates text analysis software and keyword extraction programs and applies them to a comprehensive patent dataset. The authors conclude with a discussion on some of the possible applications of the concordance and provide a sample analysis that uses their preferred ALP concordance to analyze international patent flows based on trade patterns.

Measuring the International Mobility of Inventors: A New Database
Measuring the International Mobility of Inventors: A New Database

Author: Ernest Miguelez

Publisher: WIPO

Published: 2013

Total Pages: 33

ISBN-13:

DOWNLOAD EBOOK

This paper has two objectives. First, it describes a new database mapping migratory patterns of inventors, extracted from information included in patent applications filed under the Patent Cooperation Treaty. It explains in detail the information contained in the database and discusses the usefulness and reliability of the underlying data. Second, the paper provides a descriptive overview of inventor migration patterns, based on the information contained in the newly constructed database.

Getting Patents and Economic Data to Speak to Each Other
Getting Patents and Economic Data to Speak to Each Other

Author:

Publisher:

Published: 2012

Total Pages: 32

ISBN-13:

DOWNLOAD EBOOK

In this paper, the authors describe and explore a new algorithmic approach to constructing concordances between the International Patent Classification (IPC) system and industry classification systems that organize economic data. This 'Algorithmic Links with Probabilities' (ALP) approach incorporates text analysis software and keyword extraction programs and applies them to a comprehensive patent dataset. The authors conclude with a discussion on some of the possible applications of the concordance and provide a sample analysis that uses their preferred ALP concordance to analyze international patent flows based on trade patterns.

An "Algorithmic Links with Probabilities" Concordance for Trademarks For Disaggregated Analysis of Trademark and Economic Data
An

Author: World Intellectual Property Organization

Publisher: WIPO

Published: 2014

Total Pages: 31

ISBN-13:

DOWNLOAD EBOOK

The authors propose an ‘Algorithmic Links with Probabilities’ (ALP) approach to match Trademarks (TMs) data to economic data and enable these data to speak to each other. Specifically, they construct a NICE Class Level concordance that maps TM data into trade and industry categories forward and backward. This concordance allows researchers to analyze differences in TM usage across both economic and TM sectors. In this paper, the authors apply this ALP concordance for TMs to characterize patterns in TM applications across countries, industries, income levels and more. They also use the concordance to investigate some of the key determinants of international technology transfer by comparing bilateral TM applications and bilateral patent applications.

The economic analysis of patent litigation data
The economic analysis of patent litigation data

Author: World Intellectual Property Organization

Publisher: WIPO

Published: 2018

Total Pages: 44

ISBN-13:

DOWNLOAD EBOOK

Enforceability of patent rights is the backbone of the patent system. We review differences in the way patent litigation systems are designed across jurisdictions. We also discuss challenges in collecting and accessing patent litigation data as well as their economic analysis. We provide some descriptive analysis of patent litigation in the U.S. and UK for the period 2010-2016 and 2007-2013, respectively. We also analyze administrative post-grant validity challenges in form of the inter partes review in the U.S. and oppositions at the EPO.

Elements of Causal Inference
Elements of Causal Inference

Author: Jonas Peters

Publisher: MIT Press

Published: 2017-11-29

Total Pages: 289

ISBN-13: 0262037319

DOWNLOAD EBOOK

A concise and self-contained introduction to causal inference, increasingly important in data science and machine learning. The mathematization of causality is a relatively recent development, and has become increasingly important in data science and machine learning. This book offers a self-contained and concise introduction to causal models and how to learn them from data. After explaining the need for causal models and discussing some of the principles underlying causal inference, the book teaches readers how to use causal models: how to compute intervention distributions, how to infer causal models from observational and interventional data, and how causal ideas could be exploited for classical machine learning problems. All of these topics are discussed first in terms of two variables and then in the more general multivariate case. The bivariate case turns out to be a particularly hard problem for causal learning because there are no conditional independences as used by classical methods for solving multivariate cases. The authors consider analyzing statistical asymmetries between cause and effect to be highly instructive, and they report on their decade of intensive research into this problem. The book is accessible to readers with a background in machine learning or statistics, and can be used in graduate courses or as a reference for researchers. The text includes code snippets that can be copied and pasted, exercises, and an appendix with a summary of the most important technical concepts.

Strengthening Forensic Science in the United States
Strengthening Forensic Science in the United States

Author: National Research Council

Publisher: National Academies Press

Published: 2009-07-29

Total Pages: 348

ISBN-13: 0309142393

DOWNLOAD EBOOK

Scores of talented and dedicated people serve the forensic science community, performing vitally important work. However, they are often constrained by lack of adequate resources, sound policies, and national support. It is clear that change and advancements, both systematic and scientific, are needed in a number of forensic science disciplines to ensure the reliability of work, establish enforceable standards, and promote best practices with consistent application. Strengthening Forensic Science in the United States: A Path Forward provides a detailed plan for addressing these needs and suggests the creation of a new government entity, the National Institute of Forensic Science, to establish and enforce standards within the forensic science community. The benefits of improving and regulating the forensic science disciplines are clear: assisting law enforcement officials, enhancing homeland security, and reducing the risk of wrongful conviction and exoneration. Strengthening Forensic Science in the United States gives a full account of what is needed to advance the forensic science disciplines, including upgrading of systems and organizational structures, better training, widespread adoption of uniform and enforceable best practices, and mandatory certification and accreditation programs. While this book provides an essential call-to-action for congress and policy makers, it also serves as a vital tool for law enforcement agencies, criminal prosecutors and attorneys, and forensic science educators.

Identifying the gender of PCT inventors
Identifying the gender of PCT inventors

Author: World Intellectual Property Organization

Publisher: WIPO

Published: 2016

Total Pages: 33

ISBN-13:

DOWNLOAD EBOOK

This paper analyzes the gender of inventors in international patent applications. We compile a worldwide gender-name dictionary, which includes 6.2 million names for 182 different countries to disambiguate the gender of PCT inventors. Our results suggest that there is a gender imbalance in PCT applications, but the proportion of women inventors is improving over time. We also find that the rates of women participation differ substantially across countries, technological fields and sectors.

What Makes Companies Pursue an Open Science Strategy?
What Makes Companies Pursue an Open Science Strategy?

Author: Markus Simeth

Publisher: WIPO

Published: 2013

Total Pages: 26

ISBN-13:

DOWNLOAD EBOOK

This paper explores the motivations of firms that disclose research outcomes in a scientific format. Besides considering an internal firm dimension, the authors focus particularly on knowledge sourcing from academic institutions and the appropriability regime using a cost-benefit framework. The analysis provides evidence that the access to important scientific knowledge imposes the adoption of academic disclosure principles, whereas the mere existence of collaborative links with academic institutions is not a strong predictor. Furthermore, the results suggest that overall industry conditions are influential in shaping the cost-benefit rationale of firms with respect to scientific disclosure.