Maria Brincker

Our world is under going an enormous digital transformation. Nearly no area of our social, informational, political, economic, cultural, and biological spheres are left unchanged. What can philosophy contribute as we try to understand and think through these changes? How does digitization challenge past ideas of who we are and where we are headed? Where does it leave our ethical aspirations and cherished ideals of democracy, equality, privacy, trust, freedom, and social embeddedness? Who gets to decide, control, and harness the powers of digitization and for which purposes? Epistemologically, do most of us understand these new mediations-and thus fabrics-of our new world? Lastly-how is the new technological landscape shaping not only our living conditions but also our collective imaginary and our self-identities?

Autism has been defined as a disorder of social cognition, interaction and communication where ritualistic, repetitive behaviors are commonly observed. But how should we understand the behavioral and cognitive differences that have been the main focus of so much autism research? Can high-level cognitive processes and behaviors be identified as the core issues people with autism face, or do these characteristics perhaps often rather reflect individual attempts to cope with underlying physiological issues?  Much research presented in this volume will point to the latter possibility, i.e. that people on the autism spectrum cope with issues at much lower physiological levels pertaining not only to Central Nervous Systems (CNS) function, but also to peripheral and autonomic systems (PNS, ANS) (Torres, Brincker, et al. 2013).  The question that we pursue in this chapter is what might be fruitful ways of gaining objective measures of the large-scale systemic and heterogeneous effects of early atypical neurodevelopment; how to track their evolution over time and how to identify critical changes along the continuum of human development and aging. 

We suggest that the study of movement variability—very broadly conceived as including all minute fluctuations in bodily rhythms and their rates of change over time (coined micro-movements (Figure 1A-B) (Torres, Brincker, et al. 2013))—offers a uniquely valuable and entirely objectively quantifiable lens to better assess, understand and track not only autism but cognitive development and degeneration in general. This chapter presents the rationale firstly behind this focus on micro-movements and secondly behind the choice of specific kinds of data collection and statistical metrics as tools of analysis (Figure 1C).
In brief the proposal is that the micro-movements (defined in Part I – Chapter 1), obtained using various time scales applied to different physiological data-types (some examples in Figure 1), contain information about layered influences and temporal adaptations, transformations and integrations across anatomically semi-independent subsystems that crosstalk and interact. Further, the notion of sensorimotor re-afference is used to highlight the fact that these layered micro-motions are sensed and that this sensory feedback plays a crucial role in the generation and control of movements in the first place. In other words, the measurements of various motoric and rhythmic variations provide an access point not only to the “motor systems”, but also access to much broader central and peripheral sensorimotor and regulatory systems. Lastly, we posit that this new lens can also be used to capture influences from systems of multiple entry points or collaborative control and regulation, such as those that emerge during dyadic social interactions.

Frederick Douglass, the abolitionist, the civil rights advocate and the great rhetorician, has been the focus of much academic research. Only more recently is Douglass work on aesthetics beginning to receive its due, and even then its philosophical scope is rarely appreciated. Douglass’ aesthetic interest was notably not so much in art itself, but in understanding aesthetic presentation as an epistemological and psychological aspect of the human condition and thereby as a social and political tool. He was fascinated by the power of images, and took particular interest in the emerging technologies of photography. He often returned to the themes of art, pictures and aesthetic perception in his speeches. He saw himself, also after the end of slavery, as first and foremost a human rights advocate, and he suggests that his work and thoughts as a public intellectual always in some way related to this end. In this regard, his interest in the power of photographic images to impact the human soul was a lifelong concern. His reflections accordingly center on the psychological and political potentials of images and the relationship between art, culture, and human dignity. In this chapter we discuss Douglass views and practical use of photography and other forms of imagery, and tease out his view about their transformational potential particularly in respect to combating racist attitudes. We propose that his views and actions suggest that he intuitively if not explicitly anticipated many later philosophical, pragmatist and ecological insights regarding the generative habits of mind and affordance perception : I.e. that we perceive the world through our values and habitual ways of engaging with it and thus that our perception is active and creative, not passive and objective. Our understanding of the world is simultaneously shaped by and shaping our perceptions. Douglass saw that in a racist and bigoted society this means that change through facts and rational arguments will be hard. A distorted lens distorts - and accordingly re-produces and perceives its own distortion. His interest in aesthetics is intimately connected to this conundrum of knowledge and change, perception and action. To some extent precisely due to his understanding of how stereotypical categories and dominant relations work on our minds, he sees a radical transformational potential in certain art and imagery. We see in his work a profound understanding of the value-laden and action-oriented nature of perception and what we today call the perception of affordances (that is, what our environment permits/invites us to do). Douglass is particularly interested in the social environment and the social affordances of how we perceive other humans, and he thinks that photographs can impact on the human intellect in a transformative manner. In terms of the very process of aesthetic perception his views interestingly cohere and supplement a recent theory about the conditions and consequences of being an aesthetic beholder. The main idea being that artworks typically invite an asymmetric engagement where one can behold them without being the object of reciprocal attention. This might allow for a kind of vulnerability and openness that holds transformational potentials not typically available in more strategic and goal-directed modes of perception. As mentioned, Douglass main interest is in social change and specifically in combating racist social structures and negative stereotypes of black people. He is fascinated by the potential of photography in particular as a means of correcting fallacious stereotypes, as it allows a more direct and less distorted image of the individuality and multidimensionality of black people. We end with a discussion of how, given this interpretation of aesthetic perception, we can understand the specific imagery used by Douglass himself. How he tried to use aesthetic modes to subvert and change the racist habitus in the individual and collective mind of his society. We suggest that Frederick Douglass, the human rights activist, had a sophisticated philosophy of aesthetics, mind, epistemology and particularly of the transformative and political power of images. His works in many ways anticipate and sometimes go beyond later scholars in these and other fields such as psychology & critical theory. Overall, we propose that our world could benefit from revisiting Douglass’ art and thought.

The current rise of neurodevelopmental disorders poses a critical need to detect risk early in order to rapidly intervene. One of the tools pediatricians use to track development is the standard growth chart. The growth charts are somewhat limited in predicting possible neurodevelopmental issues. They rely on linear models and assumptions of normality for physical growth data – obscuring key statistical information about possible neurodevelopmental risk in growth data that actually has accelerated, non-linear rates-of-change and variability encompassing skewed distributions. Here, we use new analytics to profile growth data from 36 newborn babies that were tracked longitudinally for 5 months. By switching to incremental (velocity-based) growth charts and combining these dynamic changes with underlying fluctuations in motor performance – as the transition from spontaneous random noise to a systematic signal – we demonstrate a method to detect very early stunting in the development of voluntary neuromotor control and to flag risk of neurodevelopmental derail.

Developmental disorders such as autism have generally been theorized as due to some kind of modular “deficit” or “dysfunction”—typically of cortical origin, i.e., failures of “theory of mind”, of the “mirror neuron system”, of “weak central coherence” or of the balance of “empathizing” and “systemizing”, just to list a few. The broad array of autonomic and sensorimotor differences experienced and reported by people with autism have by such theories typically been sidelined as “co-morbidities,” possibly sharing genetic causes, but rendered as incidental and decisively behaviorally irrelevant symptoms—surely disconnected from cognition.
This article entertains the idea that the development of cortically based mental processes and autonomous control relies on the complexities and proper function of the peripheral nervous systems. Through such an “embodied” lens the heterogeneous symptoms of autism invites new interpretations. We propose here that many behavioral-level findings can be re-defined as downstream effects of how developing nervous systems attempt to cope and adapt to the challenges of having various noisy, unpredictable, and unreliable peripheral inputs.

The current assessment of behaviors in the inventories to diagnose autism spectrum disorders (ASD) focus on observation and discrete categorizations. Behaviors require movements, yet measurements of physical movements are seldom included. Their inclusion however, could provide an objective characterization of behavior to help unveil interactions between the peripheral and the central nervous systems. Such interactions are critical for the development and maintenance of spontaneous autonomy, self-regulation and voluntary control. At present, current approaches cannot deal with the heterogeneous, dynamic and stochastic nature of development. Accordingly, they leave no avenues for real-time or longitudinal assessments of change in a coping system continuously adapting and developing compensatory mechanisms. We offer a new unifying statistical framework to reveal re-afferent kinesthetic features of the individual with ASD. The new methodology is based on the non-stationary stochastic patterns of minute fluctuations (micro-movements) inherent to our natural actions. Such patterns of behavioral variability provide re-entrant sensory feedback contributing to the autonomous regulation and coordination of the motor output. From an early age, this feedback supports centrally driven volitional control and fluid, flexible transitions between intentional and spontaneous behaviors. We show that in ASD there is a disruption in the maturation of this form of proprioception. Despite this disturbance, each individual has unique adaptive compensatory capabilities that we can unveil and exploit to evoke faster and more accurate decisions. Measuring the kinesthetic re-afference in tandem with stimuli variations we can detect changes in their micro-movements indicative of a more predictive and reliable kinesthetic percept. Our methods address the heterogeneity of ASD with a personalized approach grounded in the inherent sensory-motor abilities that the individual has already developed.

Movement variability has emerged as a critical research component in the field of neural motor control. This chapter explains why movement variability can be seen as such a rich resource for studying neural development and ASD. This cannot be done without a framework for understanding the relationship between neural control, movement and movement sensing. Thus in the process of explaining why we should study movements several analytical and empirical aspects of motor-sensed variability from self-generated actions are recast, as are their putative role in the development of motor-sensory-sensed maps of external stimuli present in social settings. Overall, the Chapter offers a new lens for the research and treatments of neurodevelopmental disorders on a spectrum. In particular, disorders such as Autism Spectrum Disorders (ASD) giving rise to different social manifestations are discussed within the renovated unifying framework of kinesthetic reafference using the new micro-movements data type paired with new accompanying analytics. 2

The current rise of neurodevelopmental disorders poses a critical need to detect risk early in order to rapidly intervene. One of the tools pediatricians use to track development is the standard growth chart. The growth charts are somewhat limited in predicting possible neurodevelopmental issues. They rely on linear models and assumptions of normality for physical growth data - obscuring key statistical information about possible neurodevelopmental risk in growth data that actually has accelerated, non-linear rates-of-change and variability encompassing skewed distributions. Here, we use new analytics to profile growth data from 36 newborn babies that were tracked longitudinally for 5 months. By switching to incremental (velocity-based) growth charts and combining these dynamic changes with underlying fluctuations in motor performance - as the transition from spontaneous random noise to a systematic signal - we demonstrate a method to detect very early stunting in the development of voluntary neuromotor control and to flag risk of neurodevelopmental derail.

The current assessment of behaviors in the inventories to diagnose autism spectrum disorders (ASD) focus on observation and discrete categorizations. Behaviors require movements, yet measurements of physical movements are seldom included. Their inclusion however, could provide an objective characterization of behavior to help unveil interactions between the peripheral and the central nervous systems. Such interactions are critical for the development and maintenance of spontaneous autonomy, self-regulation and voluntary control. At present, current approaches cannot deal with the heterogeneous, dynamic and stochastic nature of development. Accordingly, they leave no avenues for real-time or longitudinal assessments of change in a coping system continuously adapting and developing compensatory mechanisms. We offer a new unifying statistical framework to reveal re-afferent kinesthetic features of the individual with ASD. The new methodology is based on the non-stationary stochastic pa...

In the drive toward institutionalization, Writing Across the Curriculum (WAC) programs have had a tendency to standardize WAC practices, making them less flexible than they were first intended to be.  As a result, when faculty, particularly those new to WAC, express hesitation or skepticism, their concerns are often dismissed as resistance.  Interviews with Writing Intensive (WI) course instructors, year-long partnerships with WI faculty across disciplines, and a recent semester-long faculty development workshop revealed instances of faculty “resistance,” which lead us not only to re-evaluate “resistance,” but also to consider what guidelines facilitate broader and deeper engagement with WAC.  Based on our unique experience as doctoral Writing Fellows in the WAC program at the Borough of Manhattan Community College of the City University of New York, we argue that so-called “resistances” are often justified criticisms and concerns in regard to implementing WAC under given institutional, disciplinary, departmental, and personal constraints.  If we listen and respond to these criticisms and concerns, they become means to facilitate faculty engagement with WAC.  Based on our findings, we re-assert the premise that WAC practices and programs must be flexible (a) to accommodate the conditions under which faculty teach and (b) to encourage ownership of WAC, which together promote deep-rooted pedagogical change, which is the ultimate goal of most WAC programs.

The current rise of neurodevelopmental disorders poses a critical need to detect risk early in order to rapidly intervene. One of the tools pediatricians use to track development is the standard growth chart. The growth charts are somewhat limited in predicting possible neurodevelopmental issues. They rely on linear models and assumptions of normality for physical growth data – obscuring key statistical information about possible neurodevelopmental risk in growth data that actually has accelerated, non-linear rates-of-change and variability encompassing skewed distributions. Here, we use new analytics to profile growth data from 36 newborn babies that were tracked longitudinally for 5 months. By switching to incremental (velocity-based) growth charts and combining these dynamic changes with underlying fluctuations in motor performance – as the transition from spontaneous random noise to a systematic signal – we demonstrate a method to detect very early stunting in the development of voluntary neuromotor control and to flag risk of neurodevelopmental derail.

We define a new data type that integrates fluctuations in temperature readings with fluctuations in motor performance. This bundle of signals related to the autonomic and sensory-motor systems, allows us to better explore and identify motion signatures that have the potential to be physiologically relevant to both the peripheral and central nervous systems (PNS and CNS). The temperature and the motion (acceleration and gyroscopic) signals are simultaneously registered at the same sampling resolution, 128Hz. The sensors output temperature readings related to several temperature types: skin surface temperature, ambient temperature and temperature related to the battery's energy consumption indicative of the amount of actively generated motion output. The higher the amount of actively generated movements, the more battery energy is drawn, and thus the higher the temperature is (on average). Yet, because there is also adaptation between the person's skin surface and the sensor's surface, the temperature readings fluctuate. Importantly, temperature readings have been found to fluctuate differently if the person is actively vs. passively moving. Specifically, slow rates of change in temperature fluctuations correspond to passively generated motions (as when the person is moved and not generating large motions.) In contrast, actively self-generated motions, particularly those which are larger and more systematic, result in higher rates of change in temperature fluctuations. These temperature fluctuations can therefore be captured and analyzed to provide an indication as to of the amount of adaptive motion from self-generated movements that the individual