Communicating culture: strategic communication management of the contemporary art museums in the XXIth century, in Portugal: case studies: Museu Nacional de Arte Contemporânea: Lisboa; Museu de Arte Contemporânea de Serralves, no Porto; Museu de Arte Contemporânea de Elvas

Throughout the year and half of research developed during the times of crisis or economic crisis in Portugal due to the austerity measures, this thesis focuses on the cultural communication and museology in the area of cultural management in Portugal. With an ever growing number of research being developed over the world, this study is unique as it studies managerial diversity and organisational structures of Contemporary Art Museums that exist in Portugal but more importantly how they communicate their organizations within and beyond the Museum walls such as online or other technological media. As the communication management of the museums is one of aspects of culture in which cultural management intends to intervene. The research study that I proposed to analyse has at the forefront the intention to understand how the Contemporary Art Museums in Portugal manage their communication and respective organizations, whether they be a Public-Private/Foundation, State or Council run organizations but also understand if a strategic plan is designed and implemented in times of crisis, to withstand disruptive economic scenarios projected on a daily basis. The following Museums were selected due to the fact of being Contemporary Art Museums but also their respective diverse territorial distribution, one in the city capital of Portugal, Lisbon: MNAC – Museu Nacional de Arte Contemporânea, a stately run organisation; the second, in the north of Portugal: MACS – Museu de Arte Contemporânea de Serralves, a public/private organisation under the Foundation organics and the third Museum in interior central region of Portugal, Alentejo: MACE – Museu de Arte Contemporânea de Elvas, managed by the Elvas City Council.

Generate disaggregated soil allocation data using a Minimum Cross Entropy Model

Montado ecosystem in the Alentejo Region, south of Portugal, has enormous agro-ecological and economics heterogeneities. A definition of homogeneous sub-units among this heterogeneous ecosystem was made, but for them is disposal only partial statistical information about soil allocation agro-forestry activities. The paper proposal is to recover the unknown soil allocation at each homogeneous sub-unit, disaggregating a complete data set for the Montado ecosystem area using incomplete information at sub-units level. The methodological framework is based on a Generalized Maximum Entropy approach, which is developed in thee steps concerning the specification of a r order Markov process, the estimates of aggregate transition probabilities and the disaggregation data to recover the unknown soil allocation at each homogeneous sub-units. The results quality is evaluated using the predicted absolute deviation (PAD) and the "Disagegation Information Gain" (DIG) and shows very acceptable estimation errors.