Entrepreneurial Experiments in Science Policy: Analizing the Human Genome Project

We re-conceptualize the role of science policy makers, envisioning and illustrating their move from being simple investors in scientific projects to entrepreneurs who create the conditions for entrepreneurial experiments and initiate them. We argue that reframing science policy around the notion of conducting entrepreneurial experiments – experiments that increase the diversity of technical, organizational and institutional arrangements in which scientific research is conducted – can provide policy makers with a wider repertoire of effective interventions. To illustrate the power of this approach, we analyze the Human Genome Project (HGP) as a set of successful, entrepreneurial experiments in organizational and institutional innovation. While not designed as such, the HGP was an experiment in funding a science project across a variety of organizational settings, including seven public and one private (Celera) research centers. We assess the major characteristics and differences between these organizational choices, using a mix of qualitative and econometric analyses to examine their impact on scientific progress. The planning and direction of the Human Genome Project show that policy makers can use the levers of entrepreneurial experimentation to transform scientific progress, much as entrepreneurs have transformed economic progress.Entrepreneurial Experiments; Science Policy; Human Genome Project

Evaluating the Role of Science Philanthropy in American Research Universities

Philanthropy plays a major role in university-based scientific, engineering, and medical research in the United States, contributing over $4 billion annually to operations, endowment, and buildings devoted to research. When combined with endowment income, university research funding from science philanthropy is$7 billion a year. This major contribution to US scientific competitiveness comes from private foundations as well as gifts from individuals. From the researcher’s perspective, analysis in this paper demonstrates that science philanthropy provides almost 30% of the annual research funds of those in leading universities. And yet science philanthropy has been largely overshadowed by the massive rise of federal research funding and, to a lesser extent, industry funding. Government and industry funding have drawn intensive analysis, partly because their objectives are measurable: governments generally support broad national goals and basic research, while industry finances projects likely to contribute directly to useful products. In contrast, philanthropy’s contribution to overall levels of scientific funding and, more importantly, the distribution of philanthropy across different types of research are poorly understood. To fill this gap, I provide the first empirical evaluation of the role of science philanthropy in American research universities. The documented extent of science philanthropy and its strong emphasis on translational medical research raises important questions for federal policy makers. In determining their own funding strategies, they must no longer assume that their funding is the only source in shaping some fields of research while recognizing that philanthropy may ignore other important fields

Funding Scientific Knowledge: Selection, Disclosure and the Public-Private Portfolio

This paper examines argues that while two distinct perspectives characterize the foundations of the public funding of research – filling a selection gap and solving a disclosure problem – in fact both the selection choices of public funders and their criteria for disclosure and commercialization shape the level and type of funding for research and the disclosures that arise as a consequence. In making our argument, we begin by reviewing project selection criteria and policies towards disclosure and commercialization (including patent rights) made by major funding organizations, noting the great variation between these institutions. We then provide a model of how selection criteria and funding conditions imposed by funders interact with the preferences of scientists to shape those projects that accept public funds and the overall level of openness in research. Our analysis reveals complex and unexpected relationships between public funding, private funding, and public disclosure of research. We show, for example, that funding choices made by public agencies can lead to unintended, paradoxical effects, providing short-term openness while stifling longer-term innovation. Implications for empirical evaluation and an agenda for future research are discussed.

Retractions

To what extent does “false science” impact the rate and direction of scientific change? We examine the impact of over 1,100 scientific retractions on the citation trajectories of articles that are related to retracted papers in intellectual space but were published prior to the retraction event. Following retraction and relative to carefully selected controls, related articles experience a lasting five to ten percent decline in the rate of citations received. This penalty is more severe when the retracted article involves fraud or misconduct, rather than honest mistakes. In addition, we find that the arrival rate of new articles and funding ows into these fields decrease after a retraction.National Science Foundation (U.S.) (SciSIP Program Award SBE-0738142)National Science Foundation (U.S.) (SciSIP Program Award SBE-0738394

Investors Prefer Entrepreneurial Ventures Pitched by Attractive Men

Entrepreneurship is a central path to job creation, economic growth, and prosperity. In the earliest stages of start-up business creation, the matching of entrepreneurial ventures to investors is critically important. The entrepreneur’s business proposition and previous experience are regarded as the main criteria for investment decisions. Our research, however, documents other critical criteria that investors use to make these decisions: the gender and physical attractiveness of the entrepreneurs themselves. Across a field setting (three entrepreneurial pitch competitions in the United States) and two experiments, we identify a profound and consistent gender gap in entrepreneur persuasiveness. Investors prefer pitches presented by male entrepreneurs compared with pitches made by female entrepreneurs, even when the content of the pitch is the same. This effect is moderated by male physical attractiveness: attractive males were particularly persuasive, whereas physical attractiveness did not matter among female entrepreneurs

Funding Scientific Knowledge: Selection, Disclosure, and the Public-Private Portfolio

This paper examines argues that while two distinct perspectives characterize the foundations of the public funding of research – filling a selection gap and solving a disclosure problem – in fact both the selection choices of public funders and their criteria for disclosure and commercialization shape the level and type of funding for research and the disclosures that arise as a consequence. In making our argument, we begin by reviewing project selection criteria and policies towards disclosure and commercialization (including patent rights) made by major funding organizations, noting the great variation between these institutions. We then provide a model of how selection criteria and funding conditions imposed by funders interact with the preferences of scientists to shape those projects that accept public funds and the overall level of openness in research. Our analysis reveals complex and unexpected relationships between public funding, private funding, and public disclosure of research. We show, for example, that funding choices made by public agencies can lead to unintended, paradoxical effects, providing short-term openness while stifling longer-term innovation. Implications for empirical evaluation and an agenda for future research are discussed.National Science Foundation (U.S.) (NSF Grant #0738394)Australian Research Council (ARC Discovery grant

Maternal plasma DHA levels increase prior to 29 days post-LH surge in women undergoing frozen embryo transfer: a prospective, observational study of human pregnancy

Context: Docosahexaenoic acid (DHA) is an important fatty acid required for neurological development but its importance during early fetal neurological organogenesis is unknown. Objective: To assess plasma fatty acid changes in early pregnancy in women undergoing natural cycle-frozen embryo transfer as a means of achieving accurately-timed periconceptual sampling. Design: Women undergoing frozen embryo transfer were recruited and serial fasting blood samples were taken pre-luteinising hormone (LH) surge, and at days 18, 29 and 45 post-LH surge and fatty acids were analysed using gas chromatography. Setting: Assisted Conception Unit, Glasgow Royal Infirmary, Scotland Main outcome measures: Plasma fatty acid concentrations, influence of twin pregnancies on DHA plasma concentration. Results: In pregnant women, there was a rapid, early increase in the maternal rate of change of plasma DHA concentration observed by 29 days post-LH surge (mean±SD, from 0.1±1.3 to 1.6±2.9 nmol DHA per mL plasma per day). This early pressure to increase plasma DHA concentration was further emphasised in twin pregnancies where the increase in DHA concentration over 45 days was two-fold higher than in singleton pregnancies (mean±SD increase, 74±39 nmol/mL versus 36±40 nmol/mL). An index of delta-6 desaturase activity increased 30% and positively correlated with the rate of change of DHA concentration between day 18 and 29-post LH surge (R-squared adjusted = 41%, P=0.0002). DHA was the only fatty acid with a continual accelerated increase in plasma concentration and a positive incremental area under the curve (mean±SD, 632±911 nmol/mL x day) over the first 45 days of gestation. Conclusions: An increase in maternal plasma DHA concentration is initiated in human pregnancy prior to neural tube closure which occurs at 28 days' gestation

NuSTAR Spectroscopy of Multi-Component X-ray Reflection from NGC 1068

We report on observations of NGC1068 with NuSTAR, which provide the best constraints to date on its > 10 keV spectral shape. The NuSTAR data are consistent with past instruments, with no strong continuum or line variability over the past two decades, consistent with its classification as a Compton-thick AGN. The combined NuSTAR, Chandra, XMM-Newton, and Swift BAT spectral dataset offers new insights into the complex secondary emission seen instead of the completely obscured transmitted nuclear continuum. The critical combination of the high signal-to-noise NuSTAR data and the decomposition of the nuclear and extranuclear emission with Chandra allow us to break several model degeneracies and greatly aid physical interpretation. When modeled as a monolithic (i.e., a single N_H) reflector, none of the common Compton-reflection models are able to match the neutral fluorescence lines and broad spectral shape of the Compton reflection without requiring unrealistic physical parameters (e.g., large Fe overabundances, inconsistent viewing angles, poor fits to the spatially resolved spectra). A multi-component reflector with three distinct column densities (e.g., with best-fit values of N_H = 1.5×10^(23), 5×10^(24), and 10^(25) cm^(-2)) provides a more reasonable fit to the spectral lines and Compton hump, with near-solar Fe abundances. In this model, the higher N_H component provides the bulk of the flux to the Compton hump while the lower N_H component produces much of the line emission, effectively decoupling two key features of Compton reflection. We also find that ≈ 30% of the neutral Fe Kɑ line flux arises from >2" (≈140 pc) and is clearly extended, implying that a significant fraction of the <10 keV reflected component arises from regions well outside of a parsec-scale torus. These results likely have ramifications for the interpretation of Compton-thick spectra from observations with poorer signal-to-noise and/or more distant objects