Evgeny Klochikhin and Patrick Lambe published a piece in Research Fortnight on how to build better science taxonomies to improve science policy and reporting practices.
On Friday, July 17, Joshua Tokle and Christina Jones presented at the European Survey Research Association’s 6th conference in Reykjavik, Iceland. Their presentation on “Linking the SED to administrative data: technical challenges” was part of a larger panel entitled Technical Problems and Solutions for Record Linkage and Big Data. The panel was attended by statisticians, survey methodologists, and data scientists; all with similar interests in record linkage, big data and data access.
In recent years, there’s been growing interest in finding ways to better evaluate the public science and technology enterprise: how it works, how it could work better, and what we’re ultimately getting out of it. Now, a group of experts is hoping to take a step forward on some of these questions through a new research endeavor, dubbed the Institute for Research on Innovation & Science, or IRIS.
Researchers at the University of Strasbourg have implemented a system called Astral which parallels the efforts of STAR METRICS to capture the effects of European investments in science and innovation.
In the digital world, anonymity and informed consent are no longer meaningful. A global effort is needed to devise new protocols and regulations for research, says Julia Lane in a Research Fortnight article.
Fred H. Cate reviews Privacy, Big Data, and the Public Good for Science Magazine. The book which presents framework for engaging with public use big-data was co-edited by Julia Lane, Victoria Stodden, Stefan Bender, and Helen Nissenbaum.
Julia Lane and several other instructors discuss the results of the first Big Data course for US Census Bureau and US Patent and Trademark Office employees. The paper discusses the course's focus on using big data tools to measure innovation and presents some of the preliminary results found by students.
This paper describes the UMETRICS data initiative that has been implemented under the auspices of the Committee on Institutional Cooperation. The resulting data set reflects an emerging conceptual framework for analyzing the process, products, and impact of research. It grows from and engages the work of a diverse and vibrant community. This paper situates the UMETRICS effort in the context of research evaluation and ongoing data infrastructure efforts in order to highlight its novel and valuable features.
In this piece for Research Fortnight, we discuss how to make science metrics more 'scientific' and use them to better inform science policy. Workforce and regional development and scientific taxonomies are among the major subjects of analysis.
Julia Lane and Jason Owen-Smith write a brief commentary on the ability to track science innovation from Federal investment. They also discuss the new efforts to broaden our understanding of the return on science investment.
Julia Lane and Rebecca Rosen contributed an entry on the STAR METRICS program to the second edition of the Encyclopedia of Science, Technology, and Ethics (ESTE).
The United States Patent and Trademark Office (USPTO) in collaboration with the American Institutes for Research is developing a public patent data visualization tool intended to increase the value, utility, and transparency of US patent data.
In June, CSSIP hosted a workshop in Ann Arbor, Michigan with a community interested in expanding the use of STAR METRICS data. The workshop sought to identify an agenda for future intellectual, methodological, and cyber-infrastructure investments that can support next generation SciSIP research.
Digital Science, a start-up science software platform developer, has launched a new series of reports from their workshop series on the research landscape.
Presented at the ESAMACE 2014 conference in Hobart, a joint conference between the Econometric Society Australasia Meeting and the Australian Conference of Economists.
“There is a need for large scale, believable, modern evidence so that we can foster the important link between science investments and innovation.” Julia Lane was invited to provide expert testimony for the hearing of the US Senate Committee on Appropriations, on April 29, 2014.
UMETRICS researchers describe initial findings on the organization of federally funded science research teams at 9 Midwestern universities. They also demonstrate the far-reaching economic effects of research dollars that are spent on an array of goods and services to support the research enterprise.
In this piece for Research Fortnight, CSSIP researcher discusses challenges and opportunities for Big Data in science policy and looks into the core skills required for tackling these complex tasks.
Governments are investing more in science under the notion that it will lead to more economic growth and scientific knowledge, but are often unsure of how best to invest. In this 90-second video interview, Julia Lane, senior managing economist at the American Institutes for Research (AIR), explains why understanding the scientific process is key to investing wisely in science.
The latest strategic plan for the US NNI highlights the STARMETRICS program as potential platform to assess the impacts of the US nanotechnology R&D enterprise. “Developing and utilizing better data and tools would enable clearer documentation of the Nation’s returns on its nanotechnology investments.”
The overarching goal of the book is to identify ways in which vast new sets of data on human beings can be collected, integrated, and analysed to improve evidence based decision making while protecting confidentiality. The Big Data book is edited by Julia Lane, Victoria Stodden, Stefan Bender and Helen Nissenbaum and publication is planned for August, 2014.
The Chronicle of Higher Education covers the UMETRICS Policy Forum piece in the April 4 issue of Science Magazine. Paul Basken describes how UMETRICS data is a critical first milestone in the long road to tracking the economic value of public investments in production of scientific research.
HELIOS stands for HEaLth Investments ObServatory. It is a collaboration between the Observatoire des Sciences et des Techniques (OST), l’Institut National du Cancer (INCa) and Inserm/Aviesan cancer Institute with the American Institutes for Research (AIR) in Washington, DC. It is an ongoing effort to provide new understandings of the French cancer research portfolio, the researchers performing the science, and their accomplishments.
PatentsView is a collaborative initiative with the US Patent and Trademark Office, UC Berkeley, and Periscopic, Inc. The team has generated a new patent data visualization tool and to increase the value, utility, and transparency of US patent data. The disambiguated USPTO database will be an open, community resource.
Guest column in ASA's Amstat News Membership Magazine
A collaboration with CIC universities to document the effects of decreases in Federal funding (Press Release)
Paris workshop on the Empirical Foundations of Science and Innovation Policy - building an international community of practice with researchers and policymakers
Paula Stephan, Jacques Mairesse and Julia Lane present early research findings to the Sloan Foundation, July 24, 2013
Rebecca Rosen’s panel talk at the International Forum on R&D Evaluation: Valuing Challenges and Assessing Public Value of Publicly Funded R&D Programs, June 3, 2013
Rebecca Rosen presents on “Science Metrics and Science Policy” at the Atlanta Conference on Science Policy, September 26-28, 2013
Julia Lane's presentation to the Value of Biomedical Research Task Group of the NIH’s Scientific Management Research Board, May 2013
Julia Lane presents to the American Enterprise Institute’s Higher Education Working Group on “Measuring the Value of University-Based Research”, May, 2013
Julia Lane presents at the 2013 AAAS Annual Meeting "The Beauty and Benefits of Science", Boston, MA, 14-18 February, 2013
In this report, we explain how one such approach – topic modeling – was used to describe scientific research portfolios in France and the United States.
Governments across the world are investing large amounts of money in scientific research, often with the belief that such investments will increase economic growth--yet the scientific evidence for this belief is, as Colin Macilwain notes, "patchy."
Since 2005, a science of science policy has developed rapidly in response to policymakers' increased demands for better tools and the social sciences' capacity to provide them. The Science of Science Policy: A Handbook brings together some of the best and brightest minds working in science policy to explore the foundations of an evidence-based platform for the field.
STAR METRICS is a data platform that is being voluntarily and collaboratively developed by U.S. federal science agencies and research institutions to describe investments in science and their results.
In response to the eGov Act of 2002 Section 207, the R&D Dashboard beta web site provides an initial look at U.S. Federal Investments in Science and Research from two agencies; the National Institutes of Health (NIH) and the National Science Foundation (NSF) from years 2000-2009. More at rd-dashboard.nitrd.gov.
Helios is a prototype web-based visualization tool that follows the activities of INCa funded researchers and their scientific networks to measure the scientific, social, economic, and workforce products that are generated as a result fo those interactions.
ReadiData is a feasibility study that assessed ARL's capacity to use their existing data systems to track, maintain, manage, and interact with key metrics data.
PatentsView is a prototype web-based tool that provides interactive and longitudinal visualizations of patent assignees, topics, organizations, and geographic locations, using an author-disambiguated USPTO database that enables the analysis of citation and co-authorship networks.