Economic Development, variety and employment

This paper studies qualitative change taking place during economic development. In the model presented qualitative change is created by the mergence of new sectors, each of which produces an output that is different from other sectors. A system with a variable number of sectors is simulated. The model predicts that under given conditions the evolution of a sector tends to follow a life cycle in both the number of firms and in terms of employment. The cyclical behavior is determined by the balance between the increasing intensity of competition, saturating demand and increasing retuns to adoption. In its present form the model is a simplified representation of the economic system, but several improvements can be introduced in order to increase its degree of realism.economic development, employment, multisectoral model

Geospatial Narratives and their Spatio-Temporal Dynamics: Commonsense Reasoning for High-level Analyses in Geographic Information Systems

The modelling, analysis, and visualisation of dynamic geospatial phenomena has been identified as a key developmental challenge for next-generation Geographic Information Systems (GIS). In this context, the envisaged paradigmatic extensions to contemporary foundational GIS technology raises fundamental questions concerning the ontological, formal representational, and (analytical) computational methods that would underlie their spatial information theoretic underpinnings. We present the conceptual overview and architecture for the development of high-level semantic and qualitative analytical capabilities for dynamic geospatial domains. Building on formal methods in the areas of commonsense reasoning, qualitative reasoning, spatial and temporal representation and reasoning, reasoning about actions and change, and computational models of narrative, we identify concrete theoretical and practical challenges that accrue in the context of formal reasoning about `space, events, actions, and change'. With this as a basis, and within the backdrop of an illustrated scenario involving the spatio-temporal dynamics of urban narratives, we address specific problems and solutions techniques chiefly involving `qualitative abstraction', `data integration and spatial consistency', and `practical geospatial abduction'. From a broad topical viewpoint, we propose that next-generation dynamic GIS technology demands a transdisciplinary scientific perspective that brings together Geography, Artificial Intelligence, and Cognitive Science. Keywords: artificial intelligence; cognitive systems; human-computer interaction; geographic information systems; spatio-temporal dynamics; computational models of narrative; geospatial analysis; geospatial modelling; ontology; qualitative spatial modelling and reasoning; spatial assistance systemsComment: ISPRS International Journal of Geo-Information (ISSN 2220-9964); Special Issue on: Geospatial Monitoring and Modelling of Environmental Change}. IJGI. Editor: Duccio Rocchini. (pre-print of article in press

Measuring, Predicting and Visualizing Short-Term Change in Word Representation and Usage in VKontakte Social Network

Language in social media is extremely dynamic: new words emerge, trend and disappear, while the meaning of existing words can fluctuate over time. Such dynamics are especially notable during a period of crisis. This work addresses several important tasks of measuring, visualizing and predicting short term text representation shift, i.e. the change in a word's contextual semantics, and contrasting such shift with surface level word dynamics, or concept drift, observed in social media streams. Unlike previous approaches on learning word representations from text, we study the relationship between short-term concept drift and representation shift on a large social media corpus - VKontakte posts in Russian collected during the Russia-Ukraine crisis in 2014-2015. Our novel contributions include quantitative and qualitative approaches to (1) measure short-term representation shift and contrast it with surface level concept drift; (2) build predictive models to forecast short-term shifts in meaning from previous meaning as well as from concept drift; and (3) visualize short-term representation shift for example keywords to demonstrate the practical use of our approach to discover and track meaning of newly emerging terms in social media. We show that short-term representation shift can be accurately predicted up to several weeks in advance. Our unique approach to modeling and visualizing word representation shifts in social media can be used to explore and characterize specific aspects of the streaming corpus during crisis events and potentially improve other downstream classification tasks including real-time event detection

Towards a Qualitative Reasoning on Shape Change and Object Division

We propose a qualitative representation for handling shape change and object division. We model the shape of a smooth curve in a two-dimensional plane together with its temporal change, using curvature extrema. The representation is based on Process-Grammar, which gives a causal account for each shape change. We introduce several rewriting rules to handle object division, that consist of making a tangent point, reconstruction, and separation. On the treatment of the division process, the expression can clarify the relative locations of multiple objects. We show formalization and application to represent a sequence of shape changes frequently observed in an organogenesis process

ANALISIS KEMAMPUAN REPRESENTASI MATEMATIS SISWA SMP DALAM MENYELESAIKAN MASALAH BANGUN RUANG BERDASARKAN GAYA BELAJAR VISUAL

Representation is one of the abilities that must be understood in mathematics education. As a relationship between mathematical objects and symbols, it is defined as the process of symbolizing an object, the ability of mathematical representation to help students improve understanding and communicate thoughts on mathematical concepts. Representation indicators describe four aspects of visual representation, image representation, representation of equations or mathematical expressions, and representation of words or written text. Therefore, with the representation process, students have a good opportunity to solve problems so that they can solve the problem correctly. Representation is part of basic mathematical skills which are included in high-level thinking abilities which should be developed in mathematics teaching and learning activities. The research approach used in this research is qualitative research. This research has a case study type with a qualitative descriptive approach. The subjects of this research were 6 junior high school students who had categories of high (2), medium (2), and low (2) levels of mathematical ability. The data collection techniques chosen by researchers were tests, interviews and questionnaires. This research aims to determine students' mathematical representation abilities in solving spatial problems based on visual learning styles. The research results showed that 17 students chose to use visual representations in solving Space Building questions. Meanwhile, one student with a moderate level of mathematical ability chose to use symbolic representation in solving the Space Building problem. Students with low levels of mathematical ability do not change the representations they make (visual) into other forms of representation (symbolic or verbal). Meanwhile, students in the medium and high ability level categories change the representations they create (visual or symbolic) into other representations. Students with a high level of mathematical ability can create visual representations in several forms

How structurally stable are global socioeconomic systems?

The stability analysis of socioeconomic systems has been centered on answering whether small perturbations when a system is in a given quantitative state will push the system permanently to a different quantitative state. However, typically the quantitative state of socioeconomic systems is subject to constant change. Therefore, a key stability question that has been under-investigated is how strong the conditions of a system itself can change before the system moves to a qualitatively different behavior, i.e., how structurally stable the systems is. Here, we introduce a framework to investigate the structural stability of socioeconomic systems formed by the network of interactions among agents competing for resources. We measure the structural stability of the system as the range of conditions in the distribution and availability of resources compatible with the qualitative behavior in which all the constituent agents can be self-sustained across time. To illustrate our framework, we study an empirical representation of the global socioeconomic system formed by countries sharing and competing for multinational companies used as proxy for resources. We demonstrate that the structural stability of the system is inversely associated with the level of competition and the level of heterogeneity in the distribution of resources. Importantly, we show that the qualitative behavior of the observed global socioeconomic system is highly sensitive to changes in the distribution of resources. We believe this work provides a methodological basis to develop sustainable strategies for socioeconomic systems subject to constantly changing conditions

Board Diversity by Term Limits?

Four-fifths of the corporate board seats in the United States are held by men and a shocking number of companies lack any female representation on their boards. While institutional investors have pushed these companies for change, California took a more aggressive step and followed several European countries by mandating a quota for board representation. Heated argument has ensued over what diversity we should prioritize and what mechanisms should be used to promote diversity. Yet could these challenges be avoided altogether through the use of term limits? This Article is the first academic inquiry exploring the connection between term limits and the sex diversification of the corporate board. Drawing upon quantitative data on director turnover in the S&P 1500 and qualitative data on S&P 500 firms with term limits, our research shows that firms experiencing higher board turnover have more sex diversity. We argue that term limits, a mechanism that increases turnover, may correlate with improved sex diversity on boards. Our findings suggest that promoting term limits in the United States offers a market-based mechanism that could avert this polarized diversity debate

Representing whose access and allocation interests? Stakeholder perceptions and interests representation in climate governance

This chapter presents a synthesis of findings from quantitative and qualitative investigations of the perspectives of participants involved in international climate governance, conducted over the period 2010-2015. In this study, an established framework of principles, criteria and indicators (PC&I) for institutional governance was applied to two mechanisms under the United Nations Framework Convention on Climate Change (UNFCCC): the initiative referred to as ‘Reducing emissions from deforestation and forest degradation and the role of conservation, sustainable management of forests, and enhancement of forest stocks in developing countries’ (REDD+); and the Clean Development Mechanism (CDM) of the Kyoto Protocol (KP). Assessment focuses on the governance value of interest representation in terms of inclusiveness (access) and resources (allocation). It begins by outlining the historical context of UNFCCC, as well as CDM and REDD+, and continues with a delineation of the methods adopted, and results to reveal a relatively consistent set of results across the elements investigated, with inclusiveness receiving the highest score of all the governance indicators, and resources the lowest. The CDM was the weakest performer

A new prescription for empirical ethics research in pharmacy: a critical review of the literature

Empirical ethics research is increasingly valued in bioethics and healthcare more generally, but there remain as yet under-researched areas such as pharmacy, despite the increasingly visible attempts by the profession to embrace additional roles beyond the supply of medicines. A descriptive and critical review of the extant empirical pharmacy ethics literature is provided here. A chronological change from quantitative to qualitative approaches is highlighted in this review, as well as differing theoretical approaches such as cognitive moral development and the four principles of biomedical ethics. Research with pharmacy student cohorts is common, as is representation from American pharmacists. Many examples of ethical problems are identified, as well as commercial and legal influences on ethical understanding and decision making. In this paper, it is argued that as pharmacy seeks to develop additional roles with concomitant ethical responsibilities, a new prescription is needed for empirical ethics research in pharmacy - one that embraces an agenda of systematic research using a plurality of methodological and theoretical approaches to better explore this under-researched discipline