1,618 research outputs found
Data Conversations: Decentralized science (DeSci)
No full text<p>Open data, open methods, and reproducible and transparent research are increasingly endorsed by funders, publishers, institutions, and learned societies. But is the current publishing system setup in a good way to enable transparent research and sharing of the undelrying data and code? Are there alternatives to publishing your research as a PDF?</p>
<p>In this edition of the Data Conversations, we dive into Decentralized science, an initiative to rethink scholarly publication and to respond to its challenges by combining insights from metascience with cutting-edge technological solutions. Prof. Dr. Philipp Koellinger co-founded DeSci Labs, intoruduce the ideas behind Decentralized science.</p>
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NaveSupplementalMaterial – Supplemental material for Are Bigger Brains Smarter? Evidence From a Large-Scale Preregistered Study
No full textSupplemental material, NaveSupplementalMaterial for Are Bigger Brains Smarter? Evidence From a Large-Scale Preregistered Study by Gideon Nave, Wi Hoon Jung, Richard Karlsson Linnér, Joseph W. Kable and Philipp D. Koellinger in Psychological Science</p
Discovering the genetic architecture of the mind: (Epi-)genome-wide association studies on human psychology and behavior
No full textKoellinger, P.D. [Promotor]Posthuma, D. [Promotor
NaveOpenPracticesDisclosure – Supplemental material for Are Bigger Brains Smarter? Evidence From a Large-Scale Preregistered Study
No full textSupplemental material, NaveOpenPracticesDisclosure for Are Bigger Brains Smarter? Evidence From a Large-Scale Preregistered Study by Gideon Nave, Wi Hoon Jung, Richard Karlsson Linnér, Joseph W. Kable and Philipp D. Koellinger in Psychological Science</p
I Can’t Get No Satisfaction - Necessity Entrepreneurship and Procedural Utility
No full textWe study a unique sample of 1,547 nascent entrepreneurs in Germany and analyze which factors are associated with their start-up satisfaction. Our results identify a group of nascent entrepreneurs that “cannot get satisfaction†with their start-up because they did not choose to become entrepreneurs out of free will, but out of long-term unemployment or a lack of better employment alternatives. Overall, financial success is the most important determinant of start-up satisfaction. Yet, achievement of independence and creativity is also highly important, a finding that emphasizes the economic relevance of procedural utility and non-financial incentives.entrepreneurship;necessity entrepreneurship;procedural utility;satisfaction;unemployment
Analyzing E-Learning Adoption via Recursive Partitioning
No full textThe paper analyzes factors that influence the adoption of e-learning and gives an example of how to forecast technology adoption based on a post-hoc predictive segmentation using a classification and regression tree (CART). We find strong evidence for the existence of technological interdependencies and organizational learning effects. Furthermore, we find different paths to elearning adoption. The results of the analysis suggest a growing "digital divide" among firms. We use cross-sectional data from a European survey about e-business in June 2002, covering almost 6,000 enterprises in 15 industry sectors and 4 countries. Comparing the predictive quality of CART, we find that CART outperforms a traditional logistic regression. The results are more parsimonious, i. e. CARTs use less explanatory variables, better interpretable since different paths of adoption are detected, and from a statistical standpoint, because interactions between the covariates are taken into account.Technology Adoption, Path Dependence, Interaction between Different Technologies, Regression Trees, Predictive Segmentation, Logistic Regression, E-Learning, E-Business
Genomic analysis of diet composition finds novel loci and associations with health and lifestyle
No full textWe conducted genome-wide association studies (GWAS) of relative intake from the macronutrients fat, protein, carbohydrates, and sugar in over 235,000 individuals of European ancestries. We identified 21 unique, approximately independent lead SNPs. Fourteen lead SNPs are uniquely associated with one macronutrient at genome-wide significance (P < 5 × 10-8), while five of the 21 lead SNPs reach suggestive significance (P < 1 × 10-5) for at least one other macronutrient. While the phenotypes are genetically correlated, each phenotype carries a partially unique genetic architecture. Relative protein intake exhibits the strongest relationships with poor health, including positive genetic associations with obesity, type 2 diabetes, and heart disease (rg ≈ 0.15-0.5). In contrast, relative carbohydrate and sugar intake have negative genetic correlations with waist circumference, waist-hip ratio, and neighborhood deprivation (|rg| ≈ 0.1-0.3) and positive genetic correlations with physical activity (rg ≈ 0.1 and 0.2). Relative fat intake has no consistent pattern of genetic correlations with poor health but has a negative genetic correlation with educational attainment (rg ≈-0.1). Although our analyses do not allow us to draw causal conclusions, we find no evidence of negative health consequences associated with relative carbohydrate, sugar, or fat intake. However, our results are consistent with the hypothesis that relative protein intake plays a role in the etiology of metabolic dysfunction.This research was carried out under the auspices of the Social Science Genetic Association Consortium (SSGAC, https://www.thessgac.org/). The research has also been conducted using the UK Biobank Resource under Application Number 11425. The study was supported by funding from the Ragnar Söderberg Foundation (E9/11 and E42/15), the Swedish Research Council (421-2013-1061), The Jan Wallander and Tom Hedelius Foundation, an ERC Consolidator Grant to Philipp Koellinger (647648 EdGe), the Pershing Square Fund of the Foundations of Human Behavior, The Open Philanthropy Project (2016-152872, 010623-00001), and the NIA/NIH through grants P01-AG005842, P01-AG005842-20S2, P30-AG012810, and T32-AG000186-23 to NBER, and R01-AG042568-02 and R56-AG042568-04 to the University of Southern California. CCC was supported by the Intramural Research Program of the NIH/NIDDK and thanks Kevin Hall for informative discussions. PME was funded by Nestlé Nutrition. We thank the DietGen and CHARGE consortia for sharing diet-composition GWAS summary statistics, and we thank 23andMe, Inc., for sharing physical activity GWAS summary statistics. A full list of acknowledgements is provided in Supplementary Information 13
Philipp Melanchthon
No full textPhilipp Melanchthon (1497–1560) was, with Martin Luther, the most influential reformer of the church during the 16th century. He was also a reformer of university education, especially theological studies, as well as the school system in Germany. He was responsible for a theological curriculum that included Greek, Hebrew, and philosophy. He, as a professor of Greek at the University of Wittenberg since 1518, was the author of the first generally accepted Protestant confession, known as the Confessio Augustana (1530). He also wrote the first Protestant commentaries on Paul’s letter to the Romans (1519), as well as the first Protestant handbook in systematic theology (1521). He was the main negotiator of the Protestant movement during the diets and religious discussions with the Roman Catholic Church. He is known as the ‘teacher of Germany and Europe’ and is respected as the father of the ecumenical movement. Yet, Melanchthon is not known to South Africans and especially Afrikaans-speaking people who, traditionally, have close links with the reformational tradition. There is not yet one single publication on Melanchthon in Afrikaans or by a South African scholar, making this book, therefore, the first by an Afrikaans-speaking scholar on Melanchthon
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Genetic variants associated with subjective well-being, depressive symptoms, and neuroticism identified through genome-wide analyses
No full textDaniel Benjamin, Meike Bartels, Philipp Koellinger and colleagues report a genome-wide association meta-analysis of subjective well-being, depressive symptoms and neuroticism. The study leverages a large sample size together with genetic correlations between the phenotypes to identify, with high confidence, loci associated with each phenotype
#Bitcoin : an analysis of the field of a decentralized virtual currency using twitter data
No full textAuthor Philipp AllerstorferAbstract in englischer SpracheMasterarbeit Universität Linz 201
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