Impact of prestigious-STEM Education of corporate board members on innovation effort: Evidence from India

This article studies the innovation effort in India through the education of corporate board members obtained from prestigious STEM higher education institutes known as the Indian Institute of Technology (IITs). Our primary aim is to enquire whether firms with director/s having an IIT-Bachelors’ degree in their corporate boards positively impact the firm’s innovation effort. To answer this question, we build a novel dataset merging two micro-level databases: CMIE-Prowess (firm innovation) and NSE-Infobase (board of directors' characteristics). Based on the sample of 6151 Indian firms for 2006-2015, we find that overall, having board members with IIT-Bachelor’s qualifications do enhance innovation efforts to some extent. However, the positive effect on innovation effort becomes more robust when the director has a research degree over their IIT- Bachelors’ degree. The paper highlights that when it comes to innovation efforts, the dominant narrative of relying solely on IIT-STE M elite undergraduate education (IIT-Bachelor’s) is insufficient and should also focus on and prioritize research education

Impact of cross-section uncertainties on supernova neutrino spectral parameter fitting in the Deep Underground Neutrino Experiment

International audienceA primary goal of the upcoming Deep Underground Neutrino Experiment (DUNE) is to measure the O(10)  MeV neutrinos produced by a Galactic core-collapse supernova if one should occur during the lifetime of the experiment. The liquid-argon-based detectors planned for DUNE are expected to be uniquely sensitive to the νe component of the supernova flux, enabling a wide variety of physics and astrophysics measurements. A key requirement for a correct interpretation of these measurements is a good understanding of the energy-dependent total cross section σ(Eν) for charged-current νe absorption on argon. In the context of a simulated extraction of supernova νe spectral parameters from a toy analysis, we investigate the impact of σ(Eν) modeling uncertainties on DUNE’s supernova neutrino physics sensitivity for the first time. We find that the currently large theoretical uncertainties on σ(Eν) must be substantially reduced before the νe flux parameters can be extracted reliably; in the absence of external constraints, a measurement of the integrated neutrino luminosity with less than 10% bias with DUNE requires σ(Eν) to be known to about 5%. The neutrino spectral shape parameters can be known to better than 10% for a 20% uncertainty on the cross-section scale, although they will be sensitive to uncertainties on the shape of σ(Eν). A direct measurement of low-energy νe-argon scattering would be invaluable for improving the theoretical precision to the needed level