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Department of Information Systems & Computer Science Faculty Publications

Social and Behavioral Sciences

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Full-Text Articles in Databases and Information Systems

Stabilization Of Cultural Innovations Depends On Population Density: Testing An Epidemiological Model Of Cultural Evolution Against A Global Dataset Of Rock Art Sites And Climate-Based Estimates Of Ancient Population Densities, Richard Walker, Anders Eriksson, Camille Ruiz, Taylor Howard Newton, Francesco Casalegno Mar 2021

Stabilization Of Cultural Innovations Depends On Population Density: Testing An Epidemiological Model Of Cultural Evolution Against A Global Dataset Of Rock Art Sites And Climate-Based Estimates Of Ancient Population Densities, Richard Walker, Anders Eriksson, Camille Ruiz, Taylor Howard Newton, Francesco Casalegno

Department of Information Systems & Computer Science Faculty Publications

Demographic models of human cultural evolution have high explanatory potential but weak empirical support. Here we use a global dataset of rock art sites and climate and genetics-based estimates of ancient population densities to test a new model based on epidemiological principles. The model focuses on the process whereby a cultural innovation becomes endemic in a population; predicting that this cannot occur unless population density exceeds a critical threshold. Analysis of the data; using a Bayesian statistical framework; shows that the model has stronger empirical support than a proportional model; where detection is directly proportional to population density; or a …

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A Modified Balcik Last Mile Distribution Model For Relief Operations Using Open Road Networks, Lance L. Putong, Marlene M. De Leon Feb 2018

A Modified Balcik Last Mile Distribution Model For Relief Operations Using Open Road Networks, Lance L. Putong, Marlene M. De Leon

Department of Information Systems & Computer Science Faculty Publications

The last mile in disaster relief distribution chain is the delivery of goods from a central warehouse to the evacuation centers assigned for a given area. Its effectiveness relies on the proper allocation of each kind of relief good amongst the demand areas on a given frequency. Because these operations involve a limited supply of relief goods, vehicles, and time, it is important to optimize these operations to satisfy as much demand as possible. The study aims to create a linear programming model which provides a set of recommendations on how the current disaster relief supply chain may be carried …

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My.Eskwela: Designing An Enterprise Learning Management System To Increase Social Network And Reduce Cognitive Load, Ma. Regina Justina E. Estuar, Orven E. Llantos Jan 2018

My.Eskwela: Designing An Enterprise Learning Management System To Increase Social Network And Reduce Cognitive Load, Ma. Regina Justina E. Estuar, Orven E. Llantos

Department of Information Systems & Computer Science Faculty Publications

A typical learning management system (LMS) provides a tool for teachers to upload and create links to resources, create online assessments and provide immediate evaluation to students. As much as it tries to be student centered, most LMS remains a tool for instruction rather than learning. In a learning generation that is bound by very high online social capital, connectedness to the family weakens. my.Eskwela (My School) redefines LMS to include a parent component to address the need for inclusive participation of parents in the teaching-learning process. Basis for re-design came from the low user acceptance of teachers in using …

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Infodemiology For Syndromic Surveillance Of Dengue And Typhoid Fever In The Philippines, Ma. Regina Justina E. Estuar, Kennedy E. Espina Jan 2017

Infodemiology For Syndromic Surveillance Of Dengue And Typhoid Fever In The Philippines, Ma. Regina Justina E. Estuar, Kennedy E. Espina

Department of Information Systems & Computer Science Faculty Publications

Finding determinants of disease outbreaks before its occurrence is necessary in reducing its impact in populations. The supposed advantage of obtaining information brought by automated systems fall short because of the inability to access real-time data as well as interoperate fragmented systems, leading to longer transfer and processing of data. As such, this study presents the use of realtime latent data from social media, particularly from Twitter, to complement existing disease surveillance efforts. By being able to classify infodemiological (health-related) tweets, this study is able to produce a range of possible disease incidences of Dengue and Typhoid Fever within the …

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Discovering Conversation Spaces In The Public Discourse Of Gender Violence: A Comparative Between Two Different Contexts, Meliza M. De La Paz, Ma. Regina Justina E. Estuar, John Noel C. Victorino Jan 2017

Discovering Conversation Spaces In The Public Discourse Of Gender Violence: A Comparative Between Two Different Contexts, Meliza M. De La Paz, Ma. Regina Justina E. Estuar, John Noel C. Victorino

Department of Information Systems & Computer Science Faculty Publications

A huge factor in gender-based violence is perception and stigma, revealed by public discourse. Topic modelling is useful for discourse analysis and reveals prevalent topics and actors. This study aims to find and compare examples of collectivist and individualist conversation spaces of gendered violence by applying Principal Component Analysis, NGram analysis and word association in two gender violence cases which occured in the different contexts of the Philippines and the United States. The data from the Philippines consist of 2010-2011 articles on the 1991 Vizconde Massacre and the data from the United States consist of 2016-2017 articles from the 2015 …

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Towards An Infodemiological Algorithm For Classification Of Filipino Health Tweets, Ma. Regina Justina E. Estuar, Kennedy E. Espina, Delfin Jay Sabido Ix, Raymond Josef Edward Lara, Vikki Car De Los Reyes Jan 2016

Towards An Infodemiological Algorithm For Classification Of Filipino Health Tweets, Ma. Regina Justina E. Estuar, Kennedy E. Espina, Delfin Jay Sabido Ix, Raymond Josef Edward Lara, Vikki Car De Los Reyes

Department of Information Systems & Computer Science Faculty Publications

Finding innovative ICT solutions to enhance the Philippines’ health sector is part and parcel of the Philippine eHealth Strategic Framework and Plan 2020 program. This study sees the opportunity of using collected Twitter data to create a model that processes tweets to produce a dataset that may be relevant in the field of epidemiology and infodemiology. Through the collection of relevant tweets, future studies may make use of the output of this research for various purposes, such as the improvement of epidemiological systems of the Department of Health in support of the eHealth strategy. In this study, we …

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Designing Mobile Educational Games On Voter‟S Education: A Tale Of Three Engines, Ma. Regina Justina E. Estuar, Nadia Rowena C. Leetian, Michael B. Syson Oct 2013

Designing Mobile Educational Games On Voter‟S Education: A Tale Of Three Engines, Ma. Regina Justina E. Estuar, Nadia Rowena C. Leetian, Michael B. Syson

Department of Information Systems & Computer Science Faculty Publications

The rapid growth of mobile learning is influenced by the ability to access learning content anytime and anywhere. The on demand capability is available because mobile devices allow for convergence of internet and communications technologies. At the same time, the availability of engines makes development of mobile applications faster and seamless. However, not all mobile development engines are alike. This paper discusses on the development of mobile learning applications using mobile development engines in teaching Filipinos on responsible voting. Specifically, this paper discusses how AndEngine, Ren’Py, and homegrown Usbong were used to develop a mobile board game and a mobile …

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