An overview of recent digital humanities initiatives in US art libraries

2021 ◽  
Vol 46 (2) ◽  
pp. 51-56
Author(s):  
Megan E. Macken

As producers and mediators of digital resources, art librarians frequently interact with the digital humanities in a broad sense. In the following brief overview of recent DH work undertaken in US art libraries, engagement with digital humanities is evidenced by the development of open access projects, the creation of linked data sets and the innovative sharing of art and archive collections to support digital pedagogy. Related activities of the Art Libraries Society of North America (ARLIS/NA), its Digital Humanities SIG and the ARLIS/NA in the Humanities Commons are also discussed.

Author(s):  
N. D. Bankes

Over the last decade several proposals have been made for the creation of an international wildlife range between northeast Alaska and northern Yukon Territory, and for a convention between Canada and the United States to regulate the Porcupine caribou herd. The herd, one of the largest barren ground caribou herds in North America, regularly migrates across the United States-Canadian boundary. It is harvested in both countries by Indians and Inuit. Since the vitality of the caribou herd may be affected by developments on either side of the border, such as overharvesting, construction of pipelines or highways, influx of tourists, open access hunting policies, and oil and gas drilling, the herd requires co-operative management.


2015 ◽  
Vol 6 (4) ◽  
Author(s):  
Michael Sinatra

This article discusses the relationship between digital humanities and disciplinary boundaries in the last decade, primarily in the context of the national project Synergies. It offers first an overview of Synergies as a concrete example of the way technological change impacts the very notion of disciplines by trying to create a platform that was interdisciplinary by nature, then discusses the creation of a new Digital Humanities centre in Québec—Le Centre de recherche interuniversitaire sur les humanités numériques – and the ways it was conceived as encompassing a range of disciplinary approach.


2019 ◽  
Vol 4 (11) ◽  
pp. 219
Author(s):  
Cigdem Canbay Turkyilmaz

There is a close relationship between the creation of urban spaces and ergonomics. To make new stimulating and satisfying urban spaces, ergonomics criteria should consider. In this study, two main urban squares from Istanbul examined. Selected urban squares evaluated by site observation according to the classified ergonomics criteria. Strong and weak points of chosen squares discussed and some suggestions proposed. The results demonstrated the fact that urban equipment meets the individual ergonomic criteria are not sufficient in the use of both squares, and they need to be re-planned.Keywords: Ergomomics; urban squares, IstanbuleISSN: 2398-4287 © 2019. The Authors. Published for AMER ABRA cE-Bs by e-International Publishing House, Ltd., UK. This is an open access article under the CC BYNC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). Peer–review under responsibility of AMER (Association of Malaysian Environment-Behaviour Researchers), ABRA (Association of Behavioural Researchers on Asians) and cE-Bs (Centre for Environment-Behaviour Studies), Faculty of Architecture, Planning & Surveying, Universiti Teknologi MARA, Malaysia.DOI: https://doi.org/10.21834/e-bpj.v4i11.1695 .


Author(s):  
Saskia Sassen

Although the global is often portrayed in opposition to the national, this chapter explores how the global can be structured inside the national in at least three ways that are significant for the field of global studies. They are a) the endogenizing or the localizing of global dynamics in the national milieu; b) the creation of formations that, although global, are articulated with particular actors, cultures, or projects; and c) the denationalizing of what had historically been constructed as national. Global studies research into such subnationally based processes and dynamics of globalization requires methodologies and theorizations that engage not only global scalings but also subnational scalings as components of global processes. It makes possible the use of long-standing research techniques in the study of globalization, and it provides a bridge between globalization and the wealth of national and subnational data sets.


2021 ◽  
Vol 46 (1) ◽  
pp. 3-6
Author(s):  
Melissa Gold Fournier

AbstractWhat are the cross-border intellectual property and copyright issues faced by PHAROS, an international consortium of photo archives, in the creation of an open access research platform? How does the consortium define open access? Are approaches to copyright in reproductive media across the US, UK and EU compatible, and can 14 partners from six countries agree to assess and express rights in the same way? Developments in the field and the consortium's 2020 International Copyright Workshop project have helped PHAROS define and address these issues.


2021 ◽  
Author(s):  
Florian Betz ◽  
Magdalena Lauermann ◽  
Bernd Cyffka

<p>In fluvial geomorphology as well as in freshwater ecology, rivers are commonly seen as nested hierarchical systems functioning over a range of spatial and temporal scales. Thus, for a comprehensive assessment, information on various scales is required. Over the past decade, remote sensing based approaches have become increasingly popular in river science to increase the spatial scale of analysis. However, data-scarce areas have been mostly ignored so far despite the fact that most remaining free flowing – and thus ecologically valuable – rivers worldwide are located in regions characterized by a lack of data sources like LiDAR or even aerial imagery. High resolution satellite data would be able to fill this data gap, but tends to be too costly for large scale applications what limits the ability for comprehensive studies on river systems in such remote areas. This in turn is a limitation for management and conservation of these rivers.</p><p>In this contribution, we suggest an approach for river corridor mapping based on open access data only in order to foster large scale geomorphological mapping of river corridors in data-scarce areas. For this aim, we combine advanced terrain analysis with multispectral remote sensing using the SRTM-1 DEM along with Landsat OLI imagery. We take the Naryn River in Kyrgyzstan as an example to demonstrate the potential of these open access data sets to derive a comprehensive set of parameters for characterizing this river corridor. The methods are adapted to the specific characteristics of medium resolution open access data sets and include an innovative, fuzzy logic based approach for riparian zone delineation, longitudinal profile smoothing based on constrained quantile regression and a delineation of the active channel width as needed for specific stream power computation. In addition, an indicator for river dynamics based on Landsat time series is developed. For each derived river corridor parameter, a rigor validation is performed. The results demonstrate, that our open access approach for geomorphological mapping of river corridors is capable to provide results sufficiently accurate to derive reach averaged information. Thus, it is well suited for large scale river characterization in data-scarce regions where otherwise the river corridors would remain largely unexplored from an up-to-date riverscape perspective. Such a characterization might be an entry point for further, more detailed research in selected study reaches and can deliver the required comprehensive background information for a range of topics in river science.</p>


Author(s):  
S. Blaser ◽  
J. Meyer ◽  
S. Nebiker

Abstract. With this contribution, we describe and publish two high-quality street-level datasets, captured with a portable high-performance Mobile Mapping System (MMS). The datasets will be freely available for scientific use. Both datasets, from a city centre and a forest represent area-wide street-level reality captures which can be used e.g. for establishing cloud-based frameworks for infrastructure management as well as for smart city and forestry applications. The quality of these data sets has been thoroughly evaluated and demonstrated. For example, georeferencing accuracies in the centimetre range using these datasets in combination with image-based georeferencing have been achieved. Both high-quality multi sensor system street-level datasets are suitable for evaluating and improving methods for multiple tasks related to high-precision 3D reality capture and the creation of digital twins. Potential applications range from localization and georeferencing, dense image matching and 3D reconstruction to combined methods such as simultaneous localization and mapping and structure-from-motion as well as classification and scene interpretation. Our dataset is available online at: https://www.fhnw.ch/habg/bimage-datasets


2022 ◽  
Vol 9 (1) ◽  
Author(s):  
Marcos Fabietti ◽  
Mufti Mahmud ◽  
Ahmad Lotfi

AbstractAcquisition of neuronal signals involves a wide range of devices with specific electrical properties. Combined with other physiological sources within the body, the signals sensed by the devices are often distorted. Sometimes these distortions are visually identifiable, other times, they overlay with the signal characteristics making them very difficult to detect. To remove these distortions, the recordings are visually inspected and manually processed. However, this manual annotation process is time-consuming and automatic computational methods are needed to identify and remove these artefacts. Most of the existing artefact removal approaches rely on additional information from other recorded channels and fail when global artefacts are present or the affected channels constitute the majority of the recording system. Addressing this issue, this paper reports a novel channel-independent machine learning model to accurately identify and replace the artefactual segments present in the signals. Discarding these artifactual segments by the existing approaches causes discontinuities in the reproduced signals which may introduce errors in subsequent analyses. To avoid this, the proposed method predicts multiple values of the artefactual region using long–short term memory network to recreate the temporal and spectral properties of the recorded signal. The method has been tested on two open-access data sets and incorporated into the open-access SANTIA (SigMate Advanced: a Novel Tool for Identification of Artefacts in Neuronal Signals) toolbox for community use.


2020 ◽  
Vol 26 (4) ◽  
pp. 232-242
Author(s):  
Vanessa K. Noonan ◽  
Susan B. Jaglal ◽  
Suzanne Humphreys ◽  
Shawna Cronin ◽  
Zeina Waheed ◽  
...  

Background: To optimize traumatic spinal cord injury (tSCI) care, administrative and clinical linked data are required to describe the patient’s journey. Objectives: To describe the methods and progress to deterministically link SCI data from multiple databases across the SCI continuum in British Columbia (BC) and Ontario (ON) to answer epidemiological and health service research questions. Methods: Patients with tSCI will be identified from the administrative Hospital Discharge Abstract Database using International Classification of Diseases (ICD) codes from Population Data BC and ICES data repositories in BC and ON, respectively. Admissions for tSCI will range between 1995–2017 for BC and 2009-2017 for ON. Linkage will occur with multiple administrative data holdings from Population Data BC and ICES to create the “Admin SCI Cohorts.” Clinical data from the Rick Hansen SCI Registry (and VerteBase in BC) will be transferred to Population Data BC and ICES. Linkage of the clinical data with the incident cases and administrative data at Population Data BC and ICES will create subsets of patients referred to as the “Clinical SCI Cohorts” for BC and ON. Deidentified patient-level linked data sets will be uploaded to a secure research environment for analysis. Data validation will include several steps, and data analysis plans will be created for each research question. Discussion: The creation of provincially linked tSCI data sets is unique; both clinical and administrative data are included to inform the optimization of care across the SCI continuum. Methods and lessons learned will inform future data-linking projects and care initiatives.


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