@conference {230, title = {Aplicaciones de Internet de las Cosas SIPIA6-Red de Sensores Inal{\'a}mbricos con IPv6}, booktitle = {XV Workshop de Investigadores en Ciencias de la Computaci{\'o}n}, year = {2013}, author = {Mercado, Gustavo and Borgo, Roberto and Gonzalez Antivilo, Francisco and Taffernaberry, Juan Carlos and Diedrichs, Ana and Aguirre, Mat{\'\i}as and Robles, Mar{\'\i}a In{\'e}s and Grunwaldt, Guillermo and Tabacchi, Germ{\'a}n and Tromer, Sebasti{\'a}n and others} } @conference {246, title = {Exploring the Influence of Self-determination in the Collective Intelligence of Collaborative Organizations}, booktitle = {Symposium on implementing collaborative governance}, year = {2018}, month = {10/2018}, address = {Palermo, Italy.}, abstract = {

This work introduces a novel technopolitical artifact that opens up the possibility for a system of
non-dominant citizen governance that eliminates the representative layer and puts citizens at the top
of the decision making process. A socio-political approach that arises by merging two disrupting
technologies: Sociocracy 3.0 as an organizational technology for efficiently governing large, self-
determinant organizations; and Blockchain as a digital reputation technology for overcoming the
limitations preventing standalone Sociocracy 3.0 of being used in organizations governing the
public domain.

}, keywords = {Blockchain, citizen governance, reputation, self-determination, Sociocracy 3.0}, author = {Ribas, Alexandre and Brombereg, Facundo} } @conference {247, title = {Exploring the Influence of Self-determination in the Collective Intelligence of Collaborative Organizations}, booktitle = {IFKAD, International Forum on Knowledge Asset Dynamics}, year = {2019}, month = {09/19}, address = {Matera, Italy}, abstract = {

In recent years, positive correlations between some factors of collaborative group task processes and the increasing of collective intelligence (CI) have been presented. This work introduces an hypothesis that argues the existence of a new factor of positive influence for the increasing of collective intelligence in collaborative group tasks operating in cooperative environments: self-determination. Therefore, we present an argumentation based on Cooperative Multiagent Systems that spotlights the significance of self-determination in these particular environments. Furthermore, we also introduce a preliminary design of an experimental setup and a methodological framework for validating the hypothesis empirically in human organizations. Our propose consists on measuring, on the one hand, the level of self-determination from the individuals that participate on the decision-making processes, and on the other hand, on measuring the level of collective intelligence achieved by performing collaborative group task. Finally, we propose to use statistical analysis to explore if there are positive correlations between self-determination and collective intelligence in cooperative environments, such as collaborative organizations.

}, author = {Ribas, Alexandre}, editor = {Bromberg, Facundo} } @conference {251, title = {S3LF: a Socio-Technical System for Self-Determinant Governance in Collaborative Organizations}, booktitle = {23RD INTERNATIONAL PUBLIC MANAGEMENT NETWORK (IPMN) CONFERENCE}, year = {2019}, abstract = {

This work presents S3LF, a socio-technical system in the form of a mobile application for
facilitating a ​ digital self-determinant governance experience in collaborative organizations. It
consists of a technologically mediated adaptation of the decision making framework Sociocracy 3.0
a.k.a S3, turning it into an asynchronous and remote process with a facilitation mediated through the
user experience (UX) and interaction design. S3LF enables digital and distributed organizations
such as Collaborative Networked Organizations (CNOs) to adopt self-determinant governancemethodologies such as S3, and promises a faster onboarding into self-determinant governance and
higher throughput of self-determinant decision making. Furthermore, we introduce in S3LF a
self-diagnosis module that reports the level of self-determination perceived by each decision maker
of the group for each decision made, over different contextual situations; whose analysis has the
potential to allow organizations to self-correct dominant situations.

}, keywords = {collaborative organizations, consent-based decision making, digital governance, socio-technical system, Sociocracy 3.0}, author = {Ribas, Alexandre and Bromberg, Facundo and Dinamarca, Agustina} } @conference {245, title = {Toward Self-Determinant Citizen Governance: Trust-Boosting Sociocracy 3.0 with Blockchain}, booktitle = {Symposium on Implementing Collaborative Governance. Models, experiences and challenges to foster policy coordination, and to enhance sustainable community outcomes and public value generation}, year = {2018}, month = {10/2018}, publisher = {Ced4 - System Dynamic Group (Universidad de Palermo)}, organization = {Ced4 - System Dynamic Group (Universidad de Palermo)}, address = {Departamento de Ciencias Pol{\'\i}ticas de la Universidad de Palermo (it{\'a}lia)}, abstract = {

This work introduces a novel technopolitical artifact that opens up the possibility for a system of non-dominant citizen governance that eliminates the representative layer and puts citizens at the top of the decision making process. A socio-political approach that arises by merging two disrupting technologies: Sociocracy 3.0 as an organizational technology for efficiently governing large, self-determinant organizations; and Blockchain as a digital reputation technology for overcoming the limitations preventing standalone Sociocracy 3.0 of being used in organizations governing the public domain.

}, keywords = {Blockchain, citizen governance, reputation, self-determination, Sociocracy 3.0.}, author = {{\`A}lex Ribas and Facundo Bromberg} } @proceedings {178, title = {Characterization of LQI behavior in WSN for glacier area in Patagonia Argentina}, journal = {Embedded Systems (SASE/CASE), 2013 Fourth Argentine Symposium and Conference on}, year = {2013}, month = {08/2013}, pages = {1--6}, publisher = {IEEE}, address = {Buenos Aires, Argentina}, abstract = {

One of the most important aspects before installing a Wireless Sensor Network (WSN) is a previous study of connectivity constraints that exist in the area to be covered. This study is critical to the final distribution of the sensors, with an important impact in the life of the network by reducing consumption, and on the robustness by contemplating redundancy of paths and sensors. In this paper, we present a summary of the most important aspects of a preliminary empirical study of the Link Quality Indicator (LQI), on different landscapes in the glaciers area of Patagonia Argentina. The landscapes covered varied in geographical structures with different levels of attenuation and extreme environmental conditions. Through the analysis of the Cumulative Distribution Function (CDF) of the measured LQI values, we can characterize the behavior of four different scenarios and correlate the combined effects of the environmental structure with the distance from the transmitter. The measurements performed were designed for characterizing the links at the physical layer with the purpose of defining models to estimate the Packet Error Rate (PER) for the WSN deployment stage.

}, issn = {978-1-4799-1098-4}, doi = {10.1109/SASE-CASE.2013.6636777}, url = {http://dx.doi.org/10.1109/SASE-CASE.2013.6636777}, author = {Diedrichs, Ana Laura and Robles, Mar{\'\i}a In{\'e}s and Bromberg, Facundo and Mercado, Gustavo and Dujovne, Diego} } @proceedings {257, title = {Multi species weed detection with Retinanet one-step network in a maize field}, journal = {Precision agriculture{\textquoteright}21}, year = {2021}, month = {06/2021}, pages = {2223{\textendash}2228}, publisher = {Wageningen Academic Publishers}, address = {Budapest, Hungary}, abstract = {

Weed density and composition are not uniform throughout the field, nevertheless, the conventional approach is to carry out a uniform application. Object Detection Networks have already arrived in agricultural applications that can be used for weed management. The current study developed a detection and classification of weeds system in a one-step procedure using RetinaNet Object Detection Network. The procedure was based on identifying Solanum nigrum L., Cyperus rotundus L. and Echinochloa crus-galli L. and two growth stages both for a broadleaf species (S. nigrum) as well as narrow-leaved species (C. rotundus) in a maize field. The predictions were evaluated by mAP metric. The result obtained was 0.88 with values between 0.98 and 0.75 depending on the class.

}, keywords = {deep learning, object detection networks, RetinaNet, site-specific weed management}, isbn = {978-90-8686-916-9}, issn = {978-90-8686-363-1}, doi = {https://doi.org/10.3920/978-90-8686-916-9}, url = {https://www.wageningenacademic.com/doi/abs/10.3920/978-90-8686-916-9}, author = {Correa, JM L{\'o}pez and Todeschini, M and P{\'e}rez, DS and Karouta, J and Bromberg, F and Ribeiro, A and And{\'u}jar, D} }