scholarly journals Learning and Expertise in Mineral Exploration Decision-Making: An Ecological Dynamics Perspective

2021 ◽  
Vol 18 (18) ◽  
pp. 9752
Author(s):  
Rhys Samuel Davies ◽  
Marianne Julia Davies ◽  
David Groves ◽  
Keith Davids ◽  
Eric Brymer ◽  
...  
Keyword(s):  
Decision Making ◽  
Digital Media ◽  
Mineral Exploration ◽  
Ore Deposits ◽  
Situational Analysis ◽  
Dynamics Model ◽  
Environmental Complexity ◽  
Ecological Dynamics ◽  
Corporate Strategies ◽  
Constraints Model

The declining discovery rate of world-class ore deposits represents a significant obstacle to future global metal supply. To counter this trend, there is a requirement for mineral exploration to be conducted in increasingly challenging, uncertain, and remote environments. Faced with such increases in task and environmental complexity, an important concern in exploratory activities are the behavioural challenges of information perception, interpretation and decision-making by geoscientists tasked with discovering the next generation of deposits. Here, we outline the Dynamics model, as a diagnostic tool for situational analysis and a guiding framework for designing working and training environments to maximise exploration performance. The Dynamics model is based on an Ecological Dynamics framework, combining Newell’s Constraints model, Self Determination Theory, and including feedback loops to define an autopoietic system. By implication of the Dynamics model, several areas are highlighted as being important for improving the quality of exploration. These include: (a) provision of needs-supportive working environments that promote appropriate degrees of effort, autonomy, creativity and technical risk-taking; (b) an understanding of the wider motivational context, particularly the influence of tradition, culture and other ‘forms of life’ that constrain behaviour; (c) relevant goal-setting in the design of corporate strategies to direct exploration activities; and (d) development of practical, representative scenario-based training interventions, providing effective learning environments, with digital media and technologies presenting decision-outcome feedback, to assist in the development of expertise in mineral exploration targeting.

scholarly journals Mineral Physicochemistry Underlying Feature-Based Extraction of Mineral Abundance and Composition from Shortwave, Mid and Thermal Infrared Reflectance Spectra

Minerals ◽  
2021 ◽  
Vol 11 (4) ◽  
pp. 347
Author(s):  
Carsten Laukamp ◽  
Andrew Rodger ◽  
Monica LeGras ◽  
Heta Lampinen ◽  
Ian C. Lau ◽  
...  
Keyword(s):  
Mineral Exploration ◽  
Relevant Information ◽  
Ore Deposits ◽  
Reflectance Spectra ◽  
Full Potential ◽  
Infrared Reflectance ◽  
Vibrational Modes ◽  
Diagnostic Features ◽  
Wide Range ◽  
Mineral Assemblages

Reflectance spectroscopy allows cost-effective and rapid mineral characterisation, addressing mineral exploration and mining challenges. Shortwave (SWIR), mid (MIR) and thermal (TIR) infrared reflectance spectra are collected in a wide range of environments and scales, with instrumentation ranging from spaceborne, airborne, field and drill core sensors to IR microscopy. However, interpretation of reflectance spectra is, due to the abundance of potential vibrational modes in mineral assemblages, non-trivial and requires a thorough understanding of the potential factors contributing to the reflectance spectra. In order to close the gap between understanding mineral-diagnostic absorption features and efficient interpretation of reflectance spectra, an up-to-date overview of major vibrational modes of rock-forming minerals in the SWIR, MIR and TIR is provided. A series of scripts are proposed that allow the extraction of the relative intensity or wavelength position of single absorption and other mineral-diagnostic features. Binary discrimination diagrams can assist in rapidly evaluating mineral assemblages, and relative abundance and chemical composition of key vector minerals, in hydrothermal ore deposits. The aim of this contribution is to make geologically relevant information more easily extractable from reflectance spectra, enabling the mineral resources and geoscience communities to realise the full potential of hyperspectral sensing technologies.

Impact of Information Technology on Information Search Channel Selection for Consumers

2018 ◽  
Vol 30 (3) ◽  
pp. 63-80 ◽  
Author(s):  
Gaurav Khatwani ◽  
Praveen Ranjan Srivastava
Keyword(s):  
Decision Making ◽  
Information Technology ◽  
Digital Media ◽  
Information Search ◽  
Decision Process ◽  
Consumer Preferences ◽  
Fuzzy Ahp ◽  
Target Market ◽  
Information Channels ◽  
Search For Information

As information technology has evolved, digital media has become increasingly fragmented and has started to proliferate multiple information channels. In order to optimize on the various digital channels that are available, organizations are increasingly recognizing the importance of gaining solid insights into consumer behavior and preferences that can be translated into marketing strategies. Specifically, they are keen to identify which information channels they can use to effectively reach and communicate with their target market. In this regard, this paper describes how multi criteria decision making can be used to develop a new method of decision making that will enable an effective and systematic decision process of fuzzy AHP and TOPSIS. Further, these techniques can be used for the developing framework for identifying consumer preferences. This paper provides a demonstration of the underpinning working methodology of the proposed model by examining an real case that is based on the decision process Internet users employ during their online search for information.

scholarly journals The Decision-making Model for the Stock Market under Uncertainty

2017 ◽  
Vol 7 (5) ◽  
pp. 2782 ◽  
Author(s):  
Siham Abdulmalik Mohammed Almasani ◽  
Valery Ivanovich Finaev ◽  
Wadeea Ahmed Abdo Qaid ◽  
Alexander Vladimirovich Tychinsky
Keyword(s):  
Decision Making ◽  
Stock Market ◽  
Fuzzy Inference ◽  
Significant Degree ◽  
Analytical Models ◽  
Situational Analysis ◽  
Analytical Prediction ◽  
Analysis Model ◽  
Expected Return ◽  
Market State

<p>The main purpose of this research is developing methods and models of decision-making to assess the stock market state, and predict the possible changes in the RTS index value. This article shows that the analytical models for assessing the stock market state do not give reliable results. The absence of the reliable estimates associated with the high degree of uncertainty, random, nonlinear and non-stationary process with a significant degree of aftereffect. In this paper, to formalize the securities market parameters it’s proposed the fuzzy sets method. To assess the stock market current state and make decisions the fuzzy situational analysis model (situational model) is applied. The analytical prediction results of the stock market and graph of the RTS index expected return changes in 2014-2016 are showed. The model of calculating the fuzzy inference rules truth degree to predict the RTS index is developed. The market parameters linguistic definition is given and the expert’s rules construction to predict the RTS index growth is shown. The program in Matlab environment is designed to perform research. The study result showed that the model allows for the RTS index prediction in the condition of incomplete initial data with a confidence level about 90%.</p>

Housekeepings

2020 ◽  
pp. 127-163
Author(s):  
Arnold Michael
Keyword(s):  
Decision Making ◽  
Digital Media ◽  
New Technologies ◽  
Digital Technologies ◽  
Media Ecology ◽  
Articulation Work ◽  
Good Working ◽  
Fit For Purpose ◽  
Relations Of Power

This chapter focuses on the significant and often invisible forms of “articulation work” (the work to keep things working) needed to maintain digital media in good working order and fit-for-purpose in the domestic media ecology. It considers the labor of investigating options for, making decisions about, and purchasing and setting up new technologies as well as their ongoing maintenance. This chapter examines both the work and who does the work of maintaining and managing digital media. It also examines the relations of power, authority, gender, labor, and expertise that go into decision making, appropriating, maintaining, and using household digital technologies. In doing so, it furthers empirical developments concerning the notion of domestic media ecologies.

2016

2019 ◽  
pp. 179-210
Author(s):  
Jennifer Stromer-Galley
Keyword(s):  
Decision Making ◽  
Digital Media ◽  
Data Driven ◽  
The Public ◽  
Voter Information ◽  
Massive Databases ◽  
Get Out The Vote

The quest for data-driven campaigning in 2012—creating massive databases of voter information for more effective micro-targeting—found greater efficacy and new controversy in 2016. The Trump campaign capitalized on the power of digital advertising to reach the public to engage in unprecedented mass-targeted campaigning. His campaign spent substantially more on Facebook and other digital media paid ads than Clinton. Yet, the company that Trump worked with, Cambridge Analytica, closed up shop in 2018 under a cloud of controversy about corrupt officials and voter manipulation in several countries, as well as ill-begotten data of Facebook users that drove their micro-targeting practices. The Clinton campaign modeled itself on data-driven successes of the Obama campaign, yet the algorithms that drove their decision making were flawed, thereby leading her campaign to underperform in essential swing states. Similar to the Romney campaign’s Narwhal challenges on Election Day when the campaign effectively was flying blind on get-out-the-vote numbers, the Clinton plane was flying on bad coordinates, ultimately causing her campaign to crash in critical swing states.

A System Dynamics Model and Interface for the Simulation and Analysis of Milk Supply Chains

2020 ◽  
pp. 108-135
Author(s):  
Georgios Tsaples ◽  
Theodore Tarnanidis
Keyword(s):  
Decision Making ◽  
System Dynamics ◽  
Extreme Event ◽  
Decision Making Process ◽  
System Dynamics Model ◽  
Dynamics Model ◽  
Milk Supply ◽  
Negative Effects ◽  
Interactive Approach ◽  
Adjustment Time

The objective of this chapter is the development of a System Dynamics model for the study of the milk supply chain and how an extreme event can affect its behavior. A simple interface is developed that can be used to increase the ease of communication and provide an interactive approach to the decision-making process. The model contains three echelons: farmers, processors and retailers. The main results show that under normal circumstances, the behavior of the system reaches equilibrium after a few oscillations. However, these oscillations can be smoothed out if the adjustment time of the order placement is increased. Under an extreme event that reduces the demand for milk, behavior changes and the system remains in dis-equilibrium for the entire simulation. Once again, adjustment times remain the leverages that can influence and mitigate those negative effects. Finally, a more robust and collaborative decision-making process among the actors of the chain could be beneficial for all not only under normal circumstances, but also in the presence of extreme uncertainty.

scholarly journals Building the capacity of users and producers of evidence in health policy and systems research for better control of endemic diseases in Nigeria: a situational analysis

2019 ◽  
Vol 15 (1) ◽  
Author(s):  
Obinna Onwujekwe ◽  
Enyi Etiaba ◽  
Chinyere Mbachu ◽  
Uchenna Ezenwaka ◽  
Ifeanyi Chikezie ◽  
...  
Keyword(s):  
Decision Making ◽  
Health Policy ◽  
Health System ◽  
Policy Decision ◽  
Situational Analysis ◽  
Endemic Diseases ◽  
Systems Research ◽  
The Government ◽  
High Level ◽  
Health Policy And Systems

Abstract Background There is a current need to build the capacity of Health Policy and Systems Research + Analysis (HPSR+A) in low and middle-income countries (LMICs) as this enhances the processes of decision-making at all levels of the health system. This paper provides information on the HPSR+A knowledge and practice among producers and users of evidence in priority setting for HPSR+A regarding control of endemic diseases in two states in Nigeria. It also highlights the HPSR+A capacity building needs and interventions that will lead to increased HPSR+A and use for actual policy and decision making by the government and other policy actors. Methods Data was collected from 96 purposively selected respondents who are either researchers/ academia (producers of evidence) and policy/decision-makers, programme/project managers (users of evidence) in Enugu and Anambra states, southeast Nigeria. A pre-tested questionnaire was the data collection tool. Analysis was by univariate and bivariate analyses. Results The knowledge on HPSR+A was moderate and many respondents understood the importance of evidence-based decision making. Majority of researcher stated their preferred channel of dissemination of research finding to be journal publication. The mean percentage of using HPSR evidence for programme design & implementation of endemic disease among users of evidence was poor (18.8%) in both states. There is a high level of awareness of the use of evidence to inform policy across the two states and some of the respondents have used some evidence in their work. Conclusion The high level of awareness of the use of HPSR+A evidence for decision making did not translate to the significant actual use of evidence for policy making. The major reasons bordered on lack of autonomy in decision making. Hence, the existing yawning gap in use of evidence has to be bridged for a strengthening of the health system with evidence.

THE EVALUATION OF AN ORE DEPOSIT DEVELOPMENT PROSPECT THROUGH APPLICATION OF THE "GAMES AGAINST NATURE" APPROACH

2013 ◽  
Vol 30 (06) ◽  
pp. 1350029 ◽  
Author(s):  
MARIUSZ KRZAK
Keyword(s):  
Decision Making ◽  
Mineral Deposit ◽  
Ore Deposits ◽  
Supplementary Information ◽  
Decision Making Process ◽  
Final Decision ◽  
Investment Risk ◽  
Economic Market ◽  
Ore Deposit ◽  
Mining Projects

Geological-mining projects are usually associated with relatively high risk and uncertainty in many aspects, including geological, mining, ecologic, economic, market, legal and social conditions. A mineral deposit is an underground natural resource and hence it is difficult to unequivocally predict the actual results of its discovery. Depending on the extent of the resource, the operation of the mine can extend to a few decades. It is necessary to conduct investment actions in successive stages and to evaluate the results of the work stage by stage. This reduces the investment risk and facilitates the decision-making process. In this paper, the use of a specific kind of game, the so-called "game against Nature," is suggested before a final decision on deposit development is made. This methodology was tested on the example of one of the zinc-lead ore deposits in the Silesia-Cracow region. Apart from supporting the decision-making process, this methodology offers the means to evaluate further research and costs which may be incurred for obtaining supplementary information related to the ore deposit parameters, specifically its reserves.

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