Making the Academic Writing Process Explicit for Doctoral Students in the Social Sciences

The purpose of this article is to clarify the academic writing process and stages of publication for novice scholars. With doctoral student mentorship being highly dependent on relationships with faculty mentors, the quality and type of mentorship received varies widely. We designed this article to provide a shared starting point for new scholars trying to navigate the writing and publication process. We use our experiences as three newly tenured faculty members to provide some guidance for students. Additionally, this article adds to the existing body of knowledge on the academic writing process by bringing some hidden curriculum and norms to the forefront and making the information available to all students. Article highlights include four areas of focus of academic publishing: (a) the presentation to publication process; (b) journal choice and preparing for journal submission; (c) revision as a communal process; and (d) the journal response. Within this article, we have recommended several places where new scholars can make decisions ranging from where to submit papers, who and how to ask for help, and ways that they can respond to reviewers

Making the Academic Writing Process Explicit for Doctoral Students in the Social Sciences

The purpose of this article is to clarify the academic writing process and stages of publication for novice scholars. With doctoral student mentorship being highly dependent on relationships with faculty mentors, the quality and type of mentorship received varies widely. We designed this article to provide a shared starting point for new scholars trying to navigate the writing and publication process. We use our experiences as three newly tenured faculty members to provide some guidance for students. Additionally, this article adds to the existing body of knowledge on the academic writing process by bringing some hidden curriculum and norms to the forefront and making the information available to all students. Article highlights include four areas of focus of academic publishing: (a) the presentation to publication process; (b) journal choice and preparing for journal submission; (c) revision as a communal process; and (d) the journal response. Within this article, we have recommended several places where new scholars can make decisions ranging from where to submit papers, who and how to ask for help, and ways that they can respond to reviewers

Feature Selection Approaches for Optimising Music Emotion Recognition Methods

The high feature dimensionality is a challenge in music emotion recognition. There is no common consensus on a relation between audio features and emotion. The MER system uses all available features to recognize emotion; however, this is not an optimal solution since it contains irrelevant data acting as noise. In this paper, we introduce a feature selection approach to eliminate redundant features for MER. We created a Selected Feature Set (SFS) based on the feature selection algorithm (FSA) and benchmarked it by training with two models, Support Vector Regression (SVR) and Random Forest (RF) and comparing them against with using the Complete Feature Set (CFS). The result indicates that the performance of MER has improved for both Random Forest (RF) and Support Vector Regression (SVR) models by using SFS. We found using FSA can improve performance in all scenarios, and it has potential benefits for model efficiency and stability for MER task

Evaluation of Psychoacoustic Sound Parameters for Sonification

Sonification designers have little theory or experimental evidence to guide the design of data-to-sound mappings. Many mappings use acoustic representations of data values which do not correspond with the listener's perception of how that data value should sound during sonification. This research evaluates data-to-sound mappings that are based on psychoacoustic sensations, in an attempt to move towards using data-to-sound mappings that are aligned with the listener's perception of the data value's auditory connotations. Multiple psychoacoustic parameters were evaluated over two experiments, which were designed in the context of a domain-specific problem - detecting the level of focus of an astronomical image through auditory display. Recommendations for designing sonification systems with psychoacoustic sound parameters are presented based on our results

'The Ghosts of Roller Disco', a Choreographed, Interactive Performance for Robotic Roller Skates

The project investigates how interactions with complex (biologically inspired swarming) behaviors of multiple robots are understood by human participants within a performative and dramaturgical system. Nonanthropomorphic robots in the form of roller skates are used in innovative ways by creating social formations from their movements, for example a leader and followers in a conga line. Synchronized audio signals and speech-like sonic structures are used in innovative ways by influencing and engaging the participant's interactions with the robots. Localization data of the robots in space is mapped to control the surround sound and lighting within the space. This is used to enhance audience immersion and engagement within the interactive performance work

Player Style Clustering without Game Variables

Player clustering when applied to the field of video games has several potential applications. For example, the evaluation of the composition of a player base or the generation of AI agents with identified playing styles. These agents can then be used for either the testing of new game content or used directly to enhance a player’s gaming experience. Most current player clustering techniques focus on the use of internal game variables. This raises two main issues: (1) the availability of game variables, as source code access is required to log them and hence limits the data sources that can be used, and (2) the choice of game variables can introduce unintended bias in the types of play style extracted. In this work, a hybrid unsupervised frame encoder and a ‘reference-based’ clustering algorithm are both proposed and combined to allow clustering from raw game play videos. It is shown that the proposed methods are most beneficial when the types of play styles are unknown

Political Settlements and Development

Few concepts have captured the imagination of the conflict and development communities in recent years as powerfully as the idea of a ‘political settlement’. At its most ambitious, ‘political settlements analysis’ (PSA) promises to explain why conflicts occur and states collapse, the conditions for their successful rehabilitation, different developmental pathways from peace, and how to better fit development policy to country context. Yet despite the meteoric rise of the term and its tremendous promise, not all is well in the world of PSA. Rival definitions of the concept abound; there are disagreements about its scope and the way it should be used; a growing schism between conflict specialists and economists; basic concepts are ambiguous; and little progress has been made on measurement. This book consequently has three main aims. The first is to argue for a revised definition of a political settlement, capable of unifying its diverse strands. The second is to put the concept on a more solid theoretical and scientific footing, providing a method for measuring and categorizing political settlements, using both qualitative case studies and a large-n statistical analysis to illustrate its potential. And the third is to examine the implications of the findings for mainstream social science analysis and for policymakers

Political Settlements and Development

Few concepts have captured the imagination of the conflict and development communities in recent years as powerfully as the idea of a ‘political settlement’. At its most ambitious, ‘political settlements analysis’ (PSA) promises to explain why conflicts occur and states collapse, the conditions for their successful rehabilitation, different developmental pathways from peace, and how to better fit development policy to country context. Yet despite the meteoric rise of the term and its tremendous promise, not all is well in the world of PSA. Rival definitions of the concept abound; there are disagreements about its scope and the way it should be used; a growing schism between conflict specialists and economists; basic concepts are ambiguous; and little progress has been made on measurement. This book consequently has three main aims. The first is to argue for a revised definition of a political settlement, capable of unifying its diverse strands. The second is to put the concept on a more solid theoretical and scientific footing, providing a method for measuring and categorizing political settlements, using both qualitative case studies and a large-n statistical analysis to illustrate its potential. And the third is to examine the implications of the findings for mainstream social science analysis and for policymakers