L'influence du degré d'optimisme dans la réinsertion sociale des délinquants

Projet de stage présenté à la Faculté des Arts et des Sciences en vue de l'obtention du grade de Maître ès sciences (M.Sc.) en criminologie option stage en intervention.

Emoci??, sentiment i art a l'escola : pl??stica amb els pares i mares. 'Emoci??n, sentimiento y arte en la escuela : pl??stica con los padres y madres'

Resumen tomado de la publicaci??n. Incluye fotograf??as de la actividad

Pratiques innovantes de formation par les dispositifs d’auto-confrontation: de la pédagogie générale aux didactiques

Les éléments que nous nous proposons de présenter lors de ce colloque sont le fruit d’une articulation dynamique entre dispositifs de recherche et élaboration de dispositifs de formation: notre pratique de formateur d’enseignants et chargée à ce titre de leur accompagnement professionnel (ingénierie de formation) se nourrit de notre réflexion de chercheur et vice versa. Dégager des axes de réflexion et construire des outils susceptibles d'être un appui pour la formation, nous a conduit à travailler préférentiellement sur l'activité réelle, observée in situ, des enseignants. Pour cela nous avons privilégié l'utilisation des dispositifs d'auto-confrontation qui consistent à enregistrer sous forme vidéo des temps de situations d'enseignement puis à les analyser avec les enseignants concernés, d'abord en tête-à-tête enseignant/chercheur (auto-confrontation simple: l'enseignant explicite ses actions) puis en petits groupes (des temps significatifs des séances enregistrées sont projetées à un petit groupe de volontaires ayant tous participé à la première phase d'auto-confrontation simple). Il s'agit alors de comparer les pratiques effectives, d'expliciter les modèles théoriques, les a priori empiriques, les contraintes qui ont présidé au choix des actions

Can sentiment surveys pre-empt real estate market activities?

We evaluate a number of real estate sentiment indices to ascertain current and forward-looking information content that may be useful for forecasting the demand and supply activities. Our focus lies on sector-specific surveys targeting the players from the supply-side of both residential and non-residential real estate markets. Analyzing the dynamic relationships within a Vector Auto-Regression (VAR) framework, we test the efficacy of these indices by comparing them with other coincident indicators in predicting real estate returns. Overall, our analysis suggests that sentiment indicators convey important information which should be embedded in the modeling exercise to predict real estate market returns. Generally, sentiment indices show better information content than broad economic indicators. The goodness of fit of our models is higher for the residential market than for the non-residential real estate sector. The impulse responses, in general, conform to our theoretical expectations. Variance decompositions and out-of-sample predictions generally show desired contribution and reasonable improvement respectively, thus upholding our hypothesis. Quite remarkably, consistent with the theory, the predictability swings when we look through different phases of the cycle. This perhaps suggests that, e.g. during recessions, market players’ expectations may be more accurate predictor of the future performances, conceivably indicating a ‘negative’ information processing bias and thus conforming to the precautionary motive of consumer behaviour.

Asymmetric response of demand-supply mismatch to investor's sentiment

We look through both the demand and supply side information to understand dynamics of price determination in the real estate market and examine how accurately investors’ attitudes predict the market returns and thereby flagging off extent of any demand-supply mismatch. Our hypothesis is based on the possibility that investors’ call for action in terms of their buy/sell decision and adjustment in reservation/offer prices may indicate impending demand-supply imbalances in the market. In the process, we study several real estate sectors to inform our analysis. The timeframe of our analysis (1995-2010) allows us to observe market dynamics over several economic cycles and in various stages of those cycles. Additionally, we also seek to understand how investors’ attitude or the sentiment affects the market activity over the cycles through asymmetric responses. We test our hypothesis variously using a number of measures of market activity and attitude indicators within several model specifications. The empirical models are estimated using Vector Error Correction framework. Our analysis suggests that investors’ attitude exert strong and statistically significant feedback effects in price determination. Moreover, these effects do reveal heterogeneous responses across the real estate sectors. Interestingly, our results indicate the asymmetric responses during boom, normal and recessionary periods. These results are consistent with the theoretical underpinnings.

Information content and forecasting ability of sentiment indicators: case of real estate market

We evaluate a number of real estate sentiment indices to ascertain current and forward-looking information content that may be useful for forecasting demand and supply activities. Analyzing the dynamic relationships within a Vector Auto-Regression (VAR) framework and using the quarterly US data over 1988-2010, we test the efficacy of several sentiment measures by comparing them with other coincident economic indicators. Overall, our analysis suggests that the sentiment in real estate convey valuable information that can help predict changes in real estate returns. These findings have important implications for investment decisions, from consumers' as well as institutional investors' perspectives.

Big social data and political sentiment: the tweet stream during the UK General Election 2015 campaign

The General Election for the 56th United Kingdom Parliament was held on 7 May 2015. Tweets related to UK politics, not only those with the specific hashtag ”#GE2015”, have been collected in the period between March 1 and May 31, 2015. The resulting dataset contains over 28 million tweets for a total of 118 GB in uncompressed format or 15 GB in compressed format. This study describes the method that was used to collect the tweets and presents some analysis, including a political sentiment index, and outlines interesting research directions on Big Social Data based on Twitter microblogging.

La transformation productive 20 ans aprés: problémes anciens, nouvelles opportunités. Synthése

Incluye Bibliografía

Régime de croissance, vulnérabilité financière et protection sociale en Amérique latine. Les conditions "macro" de l'efficacité de la lutte contre la pauvreté

Inclut la bibliographie

Algunas resoluciones relacionadas con el examen y la eficiencia del funcionamiento administrativo y financiero de las Naciones Unidas = Selected resolutions concerning the review of the efficiency of the administrative and financial functioning of the United Nations = Résolutions portant sur l'examen de l'efficacité du fonctionnement administratif et financier de l'organisation des Nations Unies

Contiene las resoluciones 40/237 y 41/213 de la Asamblea General y la resolución 1987/112 del Consejo Económico y Social, sobre el funcionamiento administrativo y financiero de las Naciones Unidas.

Progettazione di un sistema di Social Intelligence e Sentiment Analysis per un'azienda del settore consumer goods

Progettazione di un sistema di Social Intelligence e Sentiment Analysis per un'azienda del settore consumer goods