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Author |
Bücheler, T.; Sieg, J.H. |
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Title |
Understanding Science 2.0: Crowdsourcing and Open Innovation in the Scientific Method |
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Journal Article |
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2011 |
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Procedia Computer Science |
Abbreviated Journal |
Proceedings of the 2nd European Future Technologies Conference and Exhibition 2011 (FET 11) |
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7 |
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327-329 |
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Crowdsourcing; Open Innovation; Simulation; Agent-Based Modeling; Science 2.0; Citizen Science |
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The innovation process is currently undergoing significant change in many industries. The World Wide Web has created a virtual world of collective intelligence and helped large groups of people connect and collaborate in the innovation process [1]. Von Hippel [2], for instance, states that a large number of users of a given technology will come up with innovative ideas. This process, originating in business, is now also being observed in science. Discussions around “Citizen Science” [3] and “Science 2.0” [4] suggest the same effects are relevant for fundamental research practices. “Crowdsourcing” [5] and “Open Innovation” [6] as well as other names for those paradigms, like Peer Production, Wikinomics, Swarm Intelligence etc., have become buzzwords in recent years. However, serious academic research efforts have also been started in many disciplines. In essence, these buzzwords all describe a form of collective intelligence that is enabled by new technologies, particularly internet connectivity. The focus of most current research on this topic is in the for-profit domain, i.e. organizations willing (and able) to pay large sums to source innovation externally, for instance through innovation contests. Our research is testing the applicability of Crowdsourcing and some techniques from Open Innovation to the scientific method and basic science in a non-profit environment (e.g., a traditional research university). If the tools are found to be useful, this may significantly change how some research tasks are conducted: While large, apriori unknown crowds of “irrational agents” (i.e. humans) are used to support scientists (and teams thereof) in several research tasks through the internet, the usefulness and robustness of these interactions as well as scientifically important factors like quality and validity of research results are tested in a systematic manner. The research is highly interdisciplinary and is done in collaboration with scientists from sociology, psychology, management science, economics, computer science, and artificial intelligence. After a pre-study, extensive data collection has been conducted and the data is currently being analyzed. The paper presents ideas and hypotheses and opens the discussion for further input. |
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1877-0509 |
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Equine Behaviour @ team @ |
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6434 |
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Benson-Amram, S.; Holekamp, K.E. |
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Innovative problem solving by wild spotted hyenas |
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2012 |
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Proc R Soc B |
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Proc R Soc B |
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279 |
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4087-4095 |
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Equine Behaviour @ team @ Benson-Amram2012 |
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6266 |
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Briefer, E.F.; Padilla de la Torre, M.; McElligott, A.G. |
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Mother goats do not forget their kids' calls |
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2012 |
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Proc R Soc B |
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279 |
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Equine Behaviour @ team @ Briefer2012 |
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6282 |
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Frère, C.H.; Krützen, M.; Mann, J.; Connor, R.C.; Bejder, L.; Sherwin, W.B. |
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Social and genetic interactions drive fitness variation in a free-living dolphin population |
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2010 |
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Proc Natl Acad Sci USA |
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Proc. Natl. Acad. Sci. U.S.A. |
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107 |
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46 |
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19949-19954 |
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The evolutionary forces that drive fitness variation in species are of considerable interest. Despite this, the relative importance and interactions of genetic and social factors involved in the evolution of fitness traits in wild mammalian populations are largely unknown. To date, a few studies have demonstrated that fitness might be influenced by either social factors or genes in natural populations, but none have explored how the combined effect of social and genetic parameters might interact to influence fitness. Drawing from a long-term study of wild bottlenose dolphins in the eastern gulf of Shark Bay, Western Australia, we present a unique approach to understanding these interactions. Our study shows that female calving success depends on both genetic inheritance and social bonds. Moreover, we demonstrate that interactions between social and genetic factors also influence female fitness. Therefore, our study represents a major methodological advance, and provides critical insights into the interplay of genetic and social parameters of fitness. |
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Equine Behaviour @ team @ |
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6412 |
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Griebenow, K.; Klibanov, A.M. |
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Lyophilization-induced reversible changes in the secondary structure of proteins |
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1995 |
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Proc Natl Acad Sci USA |
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92 |
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24 |
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10969-10976 |
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Changes in the secondary structure of some dozen different proteins upon lyophilization of their aqueous solutions have been investigated by means of Fourier-transform infrared spectroscopy in the amide III band region. Dehydration markedly (but reversibly) alters the secondary structure of all the proteins studied, as revealed by both the quantitative analysis of the second derivative spectra and the Gaussian curve fitting of the original infrared spectra. Lyophilization substantially increases the beta-sheet content and lowers the alpha-helix content of all proteins. In all but one case, proteins become more ordered upon lyophilization. |
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Equine Behaviour @ team @ |
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6519 |
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Smaers, J.B.; Dechmann, D.K.N.; Goswami, A.; Soligo, C.; Safi, K. |
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Comparative analyses of evolutionary rates reveal different pathways to encephalization in bats, carnivorans, and primates |
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2012 |
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Proc Natl Acad Sci U S A |
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109 |
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Equine Behaviour @ team @ Smaers2012 |
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6238 |
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Fagot, J.; Cook, R.G. |
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Evidence for large long-term memory capacities in baboons and pigeons and its implications for learning and the evolution of cognition |
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2006 |
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Proc Natl Acad Sci U S A |
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103 |
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Equine Behaviour @ team @ Fagot2006 |
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6278 |
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Author |
Harris, F. |
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On the Use of Windows for Harmonic Analysis with the Discrete Fourier Transform |
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1978 |
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Proc IEEE |
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66 |
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Equine Behaviour @ team @ Harris1978 |
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6486 |
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Chapron, G.; Treves, A. |
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Title |
Blood does not buy goodwill: allowing culling increases poaching of a large carnivore |
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2016 |
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Proc Biol Sci |
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Proc. R. Soc. Lond. B |
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283 |
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1830 |
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Quantifying environmental crime and the effectiveness of policy interventions is difficult because perpetrators typically conceal evidence. To prevent illegal uses of natural resources, such as poaching endangered species, governments have advocated granting policy flexibility to local authorities by liberalizing culling or hunting of large carnivores. We present the first quantitative evaluation of the hypothesis that liberalizing culling will reduce poaching and improve population status of an endangered carnivore. We show that allowing wolf (Canis lupus) culling was substantially more likely to increase poaching than reduce it. Replicated, quasi-experimental changes in wolf policies in Wisconsin and Michigan, USA, revealed that a repeated policy signal to allow state culling triggered repeated slowdowns in wolf population growth, irrespective of the policy implementation measured as the number of wolves killed. The most likely explanation for these slowdowns was poaching and alternative explanations found no support. When the government kills a protected species, the perceived value of each individual of that species may decline; so liberalizing wolf culling may have sent a negative message about the value of wolves or acceptability of poaching. Our results suggest that granting management flexibility for endangered species to address illegal behaviour may instead promote such behaviour. |
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Equine Behaviour @ team @ |
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6379 |
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Liberg, O.; Chapron, G.; Wabakken, P.; Pedersen, H.C.; Hobbs, N.T.; Sand, H. |
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Shoot, shovel and shut up: cryptic poaching slows restoration of a large carnivore in Europe |
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2012 |
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Proc Biol Sci |
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Proc. R. Soc. Lond. B |
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279 |
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1730 |
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910-915 |
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Poaching is a widespread and well-appreciated problem for the conservation of many threatened species. Because poaching is illegal, there is strong incentive for poachers to conceal their activities, and consequently, little data on the effects of poaching on population dynamics are available. Quantifying poaching mortality should be a required knowledge when developing conservation plans for endangered species but is hampered by methodological challenges. We show that rigorous estimates of the effects of poaching relative to other sources of mortality can be obtained with a hierarchical state-space model combined with multiple sources of data. Using the Scandinavian wolf (Canis lupus) population as an illustrative example, we show that poaching accounted for approximately half of total mortality and more than two-thirds of total poaching remained undetected by conventional methods, a source of mortality we term as 'cryptic poaching'. Our simulations suggest that without poaching during the past decade, the population would have been almost four times as large in 2009. Such a severe impact of poaching on population recovery may be widespread among large carnivores. We believe that conservation strategies for large carnivores considering only observed data may not be adequate and should be revised by including and quantifying cryptic poaching. |
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Equine Behaviour @ team @ |
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6380 |
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