Chiara Franzoni

Internal Social Capital and the Attraction of Early Contributions in Crowdfunding

The nascent crowdfunding literature has highlighted the existence of a self–reinforcing pattern whereby contributions received in the early days of a campaign accelerate its success. After discussing what sustains this pattern, we maintain that the internal social capital that proponents may develop inside the crowdfunding community provides crucial assistance in igniting a self–reinforcing mechanism. Results of an econometric analysis of a sample of 669 Kickstarter projects are consistent with this view. Moreover, the effect of internal social capital on the success of a campaign is fully mediated by the capital and backers collected in the campaigns early days.

Changing Incentives to Publish

National incentive policies relate to increases in research article submissions and publications in Science. Many national governments have implemented policies providing incentives for researchers to publish, especially in highly ranked international journals. Although still the top publishing nation, the United States has seen its share of publications decline from 34.2% in 1995 to 27.6% in 2007 as the number of articles published by U.S. scientists and engineers has plateaued and that of other countries has grown (1, 2). Hicks (3) argues that the two events are not unrelated: The decline in the relative performance of the United States relates to increased international competition engendered by newly adopted incentives that have crowded out some work by U.S. authors.

Foreign-born scientists: mobility patterns for 16 countries.

A cross-country survey of research scientists in 16 countries finds considerable variation in immigration and emigration patterns.

Crowd Science User Contribution Patterns and Their Implications

Significance Involving the public in research may provide considerable benefits for the progress of science. However, the sustainability of “crowd science” approaches depends on the degree to which members of the public are interested and provide continued labor inputs. We describe and compare contribution patterns in multiple projects using a range of measures. We show that effort contributions can be significant in magnitude and speed, but we also identify several challenges. In addition, we explore some of the underlying dynamics and mechanisms. As such, we provide quantitative evidence that is useful for scientists who consider adopting crowd science approaches and for scholars studying crowd-based knowledge production. Our results also inform current policy discussions regarding the organization of scientific research. Scientific research performed with the involvement of the broader public (the crowd) attracts increasing attention from scientists and policy makers. A key premise is that project organizers may be able to draw on underused human resources to advance research at relatively low cost. Despite a growing number of examples, systematic research on the effort contributions volunteers are willing to make to crowd science projects is lacking. Analyzing data on seven different projects, we quantify the financial value volunteers can bring by comparing their unpaid contributions with counterfactual costs in traditional or online labor markets. The volume of total contributions is substantial, although some projects are much more successful in attracting effort than others. Moreover, contributions received by projects are very uneven across time—a tendency toward declining activity is interrupted by spikes typically resulting from outreach efforts or media attention. Analyzing user-level data, we find that most contributors participate only once and with little effort, leaving a relatively small share of users who return responsible for most of the work. Although top contributor status is earned primarily through higher levels of effort, top contributors also tend to work faster. This speed advantage develops over multiple sessions, suggesting that it reflects learning rather than inherent differences in skills. Our findings inform recent discussions about potential benefits from crowd science, suggest that involving the crowd may be more effective for some kinds of projects than others, provide guidance for project managers, and raise important questions for future research.

The Unequal Benefits of Academic Patenting for Science and Engineering Research

The increase of university patents has raised issues of potential conflicts of interest in Faculty activities. Nonetheless, recent empirical evidence has indicated that very productive scientists contribute disproportionally to academic patenting and that inventing is likely to encourage an increase in scientific productivity. This article adds to this evidence by showing that such beneficial effects are not likely to be earned equally by every scientist. The analysis was run in a large sample of Italian scientists contributing to materials sciences in either chemistry or engineering of materials, and makes use of several econometric techniques that are suitable for treating unobserved heterogeneity, excess zeros, and incidental truncation. Results indicate that benefits are higher when the feedback from applied research is richer, and when regimes of secrecy are less harsh, which is more likely to be the case with engineering, as opposed to hard science research. If confirmed by further evidence, the findings suggest that academic policies in matters of intellectual property rights should be refined and tailored to field specificities.

International Mobility of Research Scientists: Lessons from GlobSci

The circulation of scientists is a global phenomenon. Yet there is virtually no data that allow for consistent comparisons of mobility patterns across countries among the PhD trained. The GlobSci survey was designed to do precisely this by providing consistent cross-country data on active researchers working in four fields of science. The survey was administered in 2011 to 47,304 active researchers in 16 countries. The response rate was approximately 40%. This chapter summarizes findings based on the survey. Included is a discussion of the incidence of foreign-born scientists, returnees, and nonmobile natives across countries; the main source countries supplying foreign-born talent; the reasons scientists give for the decision to study or work abroad; the role mobile scientists play in international networks; and the degree to which a performance premium is attached to mobility. Suggestions for future research using the data, which will be made available to researchers in 2015, are also included.

Inventor's Knowledge Set as the Antecedent of Patent Importance

This paper investigates the antecedents of patent importance by looking at the prior knowledge set of academic inventors. Using independent methodologies, we distinguish between the scientific knowledge set and the technical knowledge set, and separate these from other kinds of prior expertise. We find that the patents of the inventors who have a prior scholarly knowledge of the topic are on average more important (more cited after 6 years). Conversely, we find an inverted U-shape relationship between prior technical relatedness and patent importance. These results are potentially useful to support the work of practitioners such as university technology managers, which often face difficulties in identifying the importance and perspective value of the disclosed inventions, amid high market and legal uncertainty and budget shortages.

Participation Dynamics in Crowd-Based Knowledge Production: The Scope and Sustainability of Interest-Based Motivation

Crowd-based knowledge production is attracting growing attention from scholars and practitioners. One key premise is that participants who have an intrinsic “interest” in a topic or activity are willing to expend effort at lower pay than in traditional employment relationships. However, it is not clear how strong and sustainable interest is as a source of motivation. We draw on research in psychology to discuss important static and dynamic features of interest and derive a number of research questions regarding interest-based effort in crowd-based projects. Among others, we consider the specific versus general nature of interest, highlight the potential role of matching between projects and individuals, and distinguish the intensity of interest at a point in time from the development and sustainability of interest over time. We then examine users’ participation patterns within and across 7 different crowd science projects that are hosted on a shared platform. Our results provide novel insights into contribution dynamics in crowd science projects. Moreover, given that extrinsic incentives such as pay, status, self-use, or career benefits are largely absent in these particular projects, the data also provide unique insights into the dynamics of interest-based motivation and into its potential as a driver of effort.

Academic tenure, risk-taking and the diversification of scientific research

Abstract We discuss two competing hypotheses linking the relative job security granted by tenure in academic employment to scientists’ choices between diversifying vs. specialising their research portfolio. To test our hypotheses, we develop a new methodology, using an algorithm of semantic analysis that partitions scientists’ publications into research themes, and we compute the Blau’s diversification index for 562 scientists observed over 15 years. The results of a Fractional Probit Model with fixed effects show that tenure is associated to more diversification of research interests. We discuss the implications for policy-makers and granting agencies wishing to incentivise explorative research.

Context Factors and the Performance of Mobile Individuals in Research Teams

We use survey data for 4,336 scientific teams, located in 16 countries, where all members were working within a single lab, to test three context factors that potentially affect the capability of internationally mobile individuals to enhance the innovation performance of their research units. We formulate hypotheses on context factors rooted in the knowledge recombination and learning-by hiring theories. The results show that three context factors are positively associated with international mobility and the performance of the research units: the degree to which knowledge in the relevant subfield of science is geographically concentrated, the creative intent of the activities performed and the decision power of the mobile individual.