A5083765234- Educator Training and Historical Pedagogy
- Computational Drug Discovery Methods
- Ubiquitin and proteasome pathways
- Face recognition and analysis
- Face Recognition and Perception
- Digital Storytelling and Education
- Face and Expression Recognition
- Mitochondrial Function and Pathology
- Bioinformatics and Genomic Networks
- Digital and Traditional Archives Management
- Cell Image Analysis Techniques
- Anthropological Studies and Insights
- Acute Myeloid Leukemia Research
- Art Education and Development
- Advanced biosensing and bioanalysis techniques
- Quantum and electron transport phenomena
- Diverse Musicological Studies
- Neural Networks and Applications
- Theater, Performance, and Music History
- Philosophy, History, and Historiography
- Metabolomics and Mass Spectrometry Studies
- CCD and CMOS Imaging Sensors
- RNA Interference and Gene Delivery
- Adversarial Robustness in Machine Learning
- Diversity and Impact of Dance
University of Georgia
2020-2021
University of Minnesota
1964-2018
Princess Margaret Cancer Centre
2012-2015
University Health Network
2012-2013
SUNY New Paltz
2008-2009
Much recent research has uncovered and discussed serious concerns of bias in facial analysis technologies, finding performance disparities between groups people based on perceived gender, skin type, lighting condition, etc. These audits are immensely important successful at measuring algorithmic but have two major challenges: the (1) use recognition datasets which lack quality metadata, like LFW CelebA, (2) do not compare their observed to biases human alternatives. In this paper, we release...
Perturbations of organellar structures within a cell are useful indicators the cellâs response to viral or bacterial invaders. Of various organelles, mitochondria meaningful model because they show distinct migration patterns in presence potentially fatal infections, such as tuberculosis. Properly modeling and assessing could provide new information about infections that can be leveraged develop tests, treatments, vaccines. Traditionally, mitochondrial have been assessed via manual...
This essay argues that the current crisis in history education at K-12 levels requires creative interventions and interdisciplinary collaborations. It also offers a series of strategies for teaching critical historical thinking skills to young people. Drawing on author's recent collaboration with theater educator, examines radical potential one pedagogical method particular—a theater-based strategy called “process drama.” A philosophical experiential approach learning, this draws theatrical...
Characterizing dynamic sub-cellular morphologies in response to perturbation remains a challenging and important problem. Many organelles are anisotropic difficult segment, few methods exist for quantifying the shape, size, quantity of these organelles. The OrNet (Organelle Networks) framework models diffuse organelle structures as social networks using graph theoretic probabilistic approaches. Specifically, this architecture tracks morphological changes mitochondria because its structural...
This essay introduces a special issue of KULA on the subject ‘endangered knowledge,’ comprising 22 essays by 34 authors working across wide array disciplines and fields. Guest editors Samantha MacFarlane, Rachel Mattson, Bethany Nowviskie have assembled collection scholarly articles, pedagogical reflections, project reports that take up theoretical practical considerations archival salvage erasure, persistence public record, indigenous knowledge, politics loss. The explores endangerment as...
Founded in the winter of 2017, Digital Library Federation’s interest group on Government Records Transparency and Accountability seeks to support a broader culture records transparency digital age. We use variety methods cross-disciplinary conversation, collaboration, action around improving access local, state federal publications (as well as information, data, documents). Over past years, we’ve hosted open presentations topics including 2020 Census, its relationship immigrant justice,...
Continued advancements in adversarial attacks have crippled neural network performance. These small pixel perturbations can go undetected and cause networks to misclassify with high confidence. The motivation for this paper was investigate how various sensor modalities models respond attacks. It is important realize that the large diversity architectures makes it difficult any analytical conclusions be made generalize across given network. For reason, we share statistical analyses performed...