Task complexity, the Cognition Hypothesis and second language learning and performance

In this paper we describe a taxonomy of task demands which distinguishes between Task Complexity, Task Condition and Task Difficulty. We then describe three theoretical claims and predictions of the Cognition Hypothesis (Robinson 2001, 2003b, 2005a) concerning the effects of task complexity on: (a) language production; (b) interaction and uptake of information available in the input to tasks; and (c) individual differences-task interactions. Finally we summarize the findings of the empirical studies in this special issue which all address one or more of these predictions and point to some directions for continuing, future research into the effects of task complexity on learning and performance.

Research networks and scientific production in Economics: the recent Spanish experience

This paper studies Spanish scientific production in Economics from 1994 to 2004. It focuses on aspects that have received little attention in other bibliometric studies, such as the impact of research and the role of scientific collaborations in the publications produced by Spanish universities. Our results show that national research networks have played a fundamental role in the increase in Spanish scientific production in this discipline.

A survey of transposable element classification systems--a call for a fundamental update to meet the challenge of their diversity and complexity.

The increase of publicly available sequencing data has allowed for rapid progress in our understanding of genome composition. As new information becomes available we should constantly be updating and reanalyzing existing and newly acquired data. In this report we focus on transposable elements (TEs) which make up a significant portion of nearly all sequenced genomes. Our ability to accurately identify and classify these sequences is critical to understanding their impact on host genomes. At the same time, as we demonstrate in this report, problems with existing classification schemes have led to significant misunderstandings of the evolution of both TE sequences and their host genomes. In a pioneering publication Finnegan (1989) proposed classifying all TE sequences into two classes based on transposition mechanisms and structural features: the retrotransposons (class I) and the DNA transposons (class II). We have retraced how ideas regarding TE classification and annotation in both prokaryotic and eukaryotic scientific communities have changed over time. This has led us to observe that: (1) a number of TEs have convergent structural features and/or transposition mechanisms that have led to misleading conclusions regarding their classification, (2) the evolution of TEs is similar to that of viruses by having several unrelated origins, (3) there might be at least 8 classes and 12 orders of TEs including 10 novel orders. In an effort to address these classification issues we propose: (1) the outline of a universal TE classification, (2) a set of methods and classification rules that could be used by all scientific communities involved in the study of TEs, and (3) a 5-year schedule for the establishment of an International Committee for Taxonomy of Transposable Elements (ICTTE).

Impact of model complexity on cross-temporal transferability in Maxent species distribution models: An assessment using paleobotanical data

Maximum entropy modeling (Maxent) is a widely used algorithm for predicting species distributions across space and time. Properly assessing the uncertainty in such predictions is non-trivial and requires validation with independent datasets. Notably, model complexity (number of model parameters) remains a major concern in relation to overfitting and, hence, transferability of Maxent models. An emerging approach is to validate the cross-temporal transferability of model predictions using paleoecological data. In this study, we assess the effect of model complexity on the performance of Maxent projections across time using two European plant species (Alnus giutinosa (L.) Gaertn. and Corylus avellana L) with an extensive late Quaternary fossil record in Spain as a study case. We fit 110 models with different levels of complexity under present time and tested model performance using AUC (area under the receiver operating characteristic curve) and AlCc (corrected Akaike Information Criterion) through the standard procedure of randomly partitioning current occurrence data. We then compared these results to an independent validation by projecting the models to mid-Holocene (6000 years before present) climatic conditions in Spain to assess their ability to predict fossil pollen presence-absence and abundance. We find that calibrating Maxent models with default settings result in the generation of overly complex models. While model performance increased with model complexity when predicting current distributions, it was higher with intermediate complexity when predicting mid-Holocene distributions. Hence, models of intermediate complexity resulted in the best trade-off to predict species distributions across time. Reliable temporal model transferability is especially relevant for forecasting species distributions under future climate change. Consequently, species-specific model tuning should be used to find the best modeling settings to control for complexity, notably with paleoecological data to independently validate model projections. For cross-temporal projections of species distributions for which paleoecological data is not available, models of intermediate complexity should be selected.

Effects of manipulating Task Complexity on self-repairs during L2 oral production

This paper analyses the effects of manipulating the cognitive complexity of L2 oral tasks on language production. It specifically focuses on self-repairs, which are taken as a measure of accuracy since they denote both attention to form and an attempt at being accurate. By means of a repeated measures de- sign, 42 lower-intermediate students were asked to perform three different tasks types (a narrative, and instruction-giving task, and a decision-making task) for which two degrees of cognitive complexity were established. The narrative task was manipulated along +/− Here-and-Now, an instruction-giving task ma- nipulated along +/− elements, and the decision-making task which is manipu- lated along +/− reasoning demands. Repeated measures ANOVAs are used for the calculation of differences between degrees of complexity and among task types. One-way ANOVA are used to detect potential differences between low- proficiency and high-proficiency participants. Results show an overall effect of Task Complexity on self-repairs behavior across task types, with different be- haviors existing among the three task types. No differences are found between the self-repair behavior between low and high proficiency groups. Results are discussed in the light of theories of cognition and L2 performance (Robin- son 2001a, 2001b, 2003, 2005, 2007), L1 and L2 language production models (Levelt 1989, 1993; Kormos 2000, 2006), and attention during L2 performance (Skehan 1998; Robinson, 2002).

Integration of Economics into Life Cycle Assessment in the Finnish Pulp and Paper Industry

Taloudellisen laskennan yhdistäminen elinkaariarviointiin (LCA) on alkanut kiinnostaa eri teollisuuden aloja maailmanlaajuisesti viime aikoina. Useat LCA-tietokoneohjelmat sisältävät kustannuslaskentaominaisuuksia ja yksittäiset projektit ovat yhdistäneet ympäristö- ja talouslaskentamenetelmiä. Tässä projektissa tutkitaan näiden yhdistelmien soveltuvuutta suomalaiselle sellu- ja paperiteollisuudelle, sekä kustannuslaskentaominaisuuden lisäämistä KCL:n LCA-ohjelmaan, KCL-ECO 3.0:aan. Kaikki tutkimuksen aikana löytyneet menetelmät, jotka yhdistävät LCA:n ja taloudellista laskentaa, on esitelty tässä työssä. Monet näistä käyttävät elinkaarikustannusarviointia (LCCA). Periaatteessa elinkaari määritellään eri tavalla LCCA:ssa ja LCA:ssa, mikä luo haasteita näiden menetelmien yhdistämiselle. Sopiva elinkaari tulee määritellä laskennan tavoitteiden mukaisesti. Työssä esitellään suositusmenetelmä, joka lähtee suomalaisen sellu- ja paperiteollisuuden erikoispiirteistä. Perusvaatimuksena on yhteensopivuus tavanomaisesti paperin LCA:ssa käytetyn elinkaaren kanssa. Menetelmän yhdistäminen KCL-ECO 3.0:aan on käsitelty yksityiskohtaisesti.

Three essays in behavioral and experimental economics

The present PhD dissertation consists of three papers, organized in chapters, in the field of behavioral economics. This discipline studies economic behavior of individuals subject to limitations, such as bounded self-interest and bounded willpower. The behavior studied in the present thesis ranges from the complex decision to register as an organ donor, decision¬making in the presence of uncertainty and the decision to give money to a charitable organization. The first chapter aims at testing the effectiveness of an active-decision (AD) mechanism on the decision to become an organ donor in Switzerland, using field experiments. We found that stimulating participants' reflection on the topic of organ donation had a negative effect on the decision to become an organ donor. Moreover, a non-binding commitment nudge reduces putting off the decision, but does not lead to donation rates higher than in the control group. The results suggest that AD may be far more limited than previously thought and raise doubts about the efficacy of engaging potential donors to reflect on the topic of organ donation. Beyond carrying for others, behavioral economics also recognizes that individuals do not evaluate outcomes in absolute terms but rather by comparing them to some reference levels, called reference points. Above the reference points, economic outcomes are perceived as gains, while below these levels the same outcomes are felt as losses. The last two chapters analyze the importance of reference points in the evaluation of economic outcomes. Using a laboratory experiment where subjects played two consecutive lotteries, Chapter 2 studies the speed of adjustment of the reference point. We find that varying the probability of winning the first lottery has no effect on subjects' risk behavior regarding the second lottery. This result indicates a very fast adjustment of the reference point to the latest information. Chapter 3 investigates whether reference points are relevant for charitable preferences. Using actual donation decisions of participants in a laboratory experiment, the results suggest that reference points are not crucial for shaping charitable giving. -- Cette thèse de doctorat consiste en trois articles, organisés en chapitres, dans le domaine de l'économie comportementale. Cette discipline étudie le comportement d'agents économiques sujets à des limitations, telles qu'un égoïsme limité et une volonté limitée. Le comportement étudié dans cette thèse va de la décision complexe de devenir donneur d'organes, la prise de décision en présence d'incertitude à la décision de donner de l'argent à une oeuvre caritative. Le premier chapitre vise à tester l'efficacité d'un mécanisme de « décision active » (active decision, AD) sur la décision de devenir donneur d'organes en Suisse, et ce en recourant à deux expériences hors-laboratoire. Les résultats montrent que stimuler la réflexion des participants sur le don d'organes a un effet négatif sur la décision de devenir donneur. De plus, un mécanisme qui encourage les participants à prendre une décision sur le champ réduit la tendance à procrastiner, mais ne mène pas à un taux de donneurs plus élevé par rapport à un groupe de contrôle. Les résultats suggèrent que le mécanisme AD est bien plus limité que ce qui a été supposé jusqu'à maintenant. De plus, ils suscitent le doute quant à l'efficacité de stimuler la réflexion de potentiels donneurs sur le sujet du don d'organes. En plus de se soucier des autres, l'économie comportementale admet également que les individus n'évaluent pas les résultats de façon absolue, mais en comparant ceux-ci à des niveaux de références, souvent appelés points de référence. Au-dessus de ces points de référence, les résultats sont perçus en tant que gains, tandis qu'en-dessous ces mêmes résultats sont considérés comme des pertes. Les deux derniers chapitres analysent l'importance des points de référence dans diverses situations. A l'aide d'une expérience en laboratoire dans laquelle les participants participent à deux loteries consécutives, le chapitre 2 étudie la vitesse d'ajustement du point de référence. Le résultat montre que varier la probabilité de gagner la première loterie n'a aucun effet sur le comportement en matière de risques concernant la deuxième loterie. Cela indique un ajustement très rapide du point de référence. Le chapitre 3 vise à déterminer si les points de référence ont un rôle majeur concernant les préférences caritatives. Les données relatives aux décisions de don des participants d'une expérience en laboratoire montrent que les points de référence n'influencent pas significativement le don caritatif.

Controlling complexity: the clinical relevance of mouse complex genetics.

Experimental animal models are essential to obtain basic knowledge of the underlying biological mechanisms in human diseases. Here, we review major contributions to biomedical research and discoveries that were obtained in the mouse model by using forward genetics approaches and that provided key insights into the biology of human diseases and paved the way for the development of novel therapeutic approaches.

Economics breeds culture

Several recent papers document the influence and long lasting effects of technology on preferences. Simultaneously, cultural factors are often invoked to explain heterogeneity in preferences. These two ideas suggest that culture determines the short run equilibrium values of economic variables, but, in the long run, culture changes in response to the underlying economic fundamentals. We build a model in which preferences are endogenous and the diversity in preferences (the "cultural" diversity) is explained by the variation in the relevant economic fundamentals. This can help explain observed differences in labor market attachment among groups defined e.g., by citizenship, ethnicity or gender.