Interdisziplinäres Forschungskolloquium Protestbewegungen

Die Protestbewegung der 1960er und 1970er Jahre werden nicht mehr allein in Erinnerungsliteratur und Feuilletons aufgearbeitet, sondern sind im vergangenen Jahrzehnt auch zum Gegenstand der historischen Wissenschaften geworden. Dies zeigt sich an der gewachsenen Zahl von Neuerscheinungen und Tagungen zum Thema. Dabei ist bemerkenswert, dass die Geschichtsschreibung von ehemaligen Aktivisten und Betroffenen immer mehr auf Wissenschaftlerinnen und Wissenschaftler übergeht, die keine Zeitzeugen waren. Von diesem Generationenwechsel ist ein neuer Blick auf diese sozialen Bewegungen zu erwarten. So arbeiten gegenwärtig zahlreiche Nachwuchswissenschaftlerinnen und -wissenschaftler aus Linguistik, Geschichtswissenschaft, Politologie, Soziologie und Literaturwissenschaft an Forschungsprojekten, die bislang vernachlässigte Aspekte der 1960er Jahre in den Blick nehmen. Das "Interdisziplinäre Forschungskolloquium Protestbewegungen" bietet Nachwuchswissenschaftlerinnen und -wissenschaftlern ein Forum, in dem sie neue Zugänge zur Historisierung und wissenschaftlichen Behandlung der Studentenbewegung diskutieren könne

Utopia in Practise: The Discovery of Performativity in Sixties' Protest, Arts and Sciences

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Utopia in Practise: The Discovery of Performativity in Sixties' Protest, Arts and Sciences

no abstrac

General Equilibrium Effects of Insurance Expansions: Evidence from Long-Term Care Labor Markets

Arrow (1963) hypothesized that demand-side moral hazard induced by health insurance leads to supply-side expansions in healthcare markets. Capturing these effects empirically has been challenging, as non-marginal insurance expansions are rare and detailed data on healthcare labor and capital is sparse. We combine administrative labor market data with the geographic variation in the rollout of a universal insurance program—the introduction of long-term care (LTC) insurance in Germany in 1995—to document a substantial expansion of the inpatient LTC labor market in response to insurance expansion. A 10 percentage point expansion in the share of insured elderly leads to 0.05 (7%) more inpatient LTC firms and four (13%) more workers per 1,000 elderly in Germany. Wages did not rise, but the quality of newly hired workers declined. We find suggestive evidence of a reduction in old-age mortality. Using a machine learning algorithm, we characterize counterfactual labor market biographies of potential inpatient LTC hires, finding that the reform moved workers into LTC jobs from unemployment and out of the labor force rather than from other sectors of the economy. We estimate that employing these additional workers in LTC is socially efficient if patients value the care provided by these workers at least at 25% of the market price for care. We show conceptually that, in the spirit of Harberger (1971), in a second-best equilibrium in which supply-side labor markets do not clear at perfectly competitive wages, subsidies for healthcare consumption along with the associated demand-side moral hazard can be welfare-enhancing

The COMBREX Project: Design, Methodology, and Initial Results

© 2013 Brian P. et al.Prior to the “genomic era,” when the acquisition of DNA sequence involved significant labor and expense, the sequencing of genes was strongly linked to the experimental characterization of their products. Sequencing at that time directly resulted from the need to understand an experimentally determined phenotype or biochemical activity. Now that DNA sequencing has become orders of magnitude faster and less expensive, focus has shifted to sequencing entire genomes. Since biochemistry and genetics have not, by and large, enjoyed the same improvement of scale, public sequence repositories now predominantly contain putative protein sequences for which there is no direct experimental evidence of function. Computational approaches attempt to leverage evidence associated with the ever-smaller fraction of experimentally analyzed proteins to predict function for these putative proteins. Maximizing our understanding of function over the universe of proteins in toto requires not only robust computational methods of inference but also a judicious allocation of experimental resources, focusing on proteins whose experimental characterization will maximize the number and accuracy of follow-on predictions.COMBREX is funded by a GO grant from the National Institute of General Medical Sciences (NIGMS) (1RC2GM092602-01).Peer Reviewe

Database resources of the National Center for Biotechnology Information

In addition to maintaining the GenBank® nucleic acid sequence database, the National Center for Biotechnology Information (NCBI) provides analysis and retrieval resources for the data in GenBank and other biological data made available through the NCBI web site. NCBI resources include Entrez, the Entrez Programming Utilities, MyNCBI, PubMed, PubMed Central, Entrez Gene, the NCBI Taxonomy Browser, BLAST, BLAST Link (BLink), Electronic PCR, OrfFinder, Spidey, Splign, Reference Sequence, UniGene, HomoloGene, ProtEST, dbMHC, dbSNP, Cancer Chromosomes, Entrez Genomes and related tools, the Map Viewer, Model Maker, Evidence Viewer, Trace Archive, Sequence Read Archive, Retroviral Genotyping Tools, HIV-1/Human Protein Interaction Database, Gene Expression Omnibus, Entrez Probe, GENSAT, Online Mendelian Inheritance in Man, Online Mendelian Inheritance in Animals, the Molecular Modeling Database, the Conserved Domain Database, the Conserved Domain Architecture Retrieval Tool, Biosystems, Peptidome, Protein Clusters and the PubChem suite of small molecule databases. Augmenting many of the web applications are custom implementations of the BLAST program optimized to search specialized data sets. All these resources can be accessed through the NCBI home page at www.ncbi.nlm.nih.gov