Klein), data are increasingly mobilized in the service of governments and corporations, their unequal conditions of production, their asymmetrical methods of application, and their unequal effects on both individuals and groups have become increasingly difficult for data scientistsвЂ“and others who rely on data in their workвЂ“to ignore. She is a regular contributor to the work of the Digital Pedagogy Lab, and her most recent publication is Digital Storytelling in Higher Education: International Perspectives (2017).ДЄssistant Professor, Department of Urban StudiesДЄuthor, Data Feminism (with L. Pleasants received her PhD in Educational Psychology (2000) with a specialization in Language, Literacy, and Learning from Michigan State University. She is also an educational researcher and consultant who specializes in providing needs assessment, program evaluation, and external evaluation of funded initiatives-particularly those that address issues of diversity, equity, and inclusion. University of Texas at Austin, Heather Pleasants is a faculty development and senior assessment specialist at the University of Texas at Austin, where she works with faculty interested in making experiential learning a part of their courses. Amber is the Academic Programs Intern at the museum, and is also the Teaching Assistant in a studio course that is a key collaborator in this project.ДЇeatured Keynote Day 2: Reimagining the Future(s) of Learning: Play in Speculative SpacesД®ducational Consultant, Experiential Learning & Assessment Working with limited staff and resources, we focused on individual strengths and perspectivesвЂ“Liz with the collection, teaching, and relationships with faculty across campus Beth with digital humanities, teaching, and entry-level digital technologies Amber with prior experience using RTI and perspective as a graduate student who is both learning from and teaching with models. Goals of the project include increasing comfort level with objects and digital models, and also encouraging agency, exploration, and play.Д«y sharing our own iterations throughout this ongoing project, we offer a range of possibilities to participants who may wish to explore similar methods and applications. The pilot program at the Williams College Museum of Art aims to make objects more engaging in a time of distance, while remaining attentive to data bias and trying to highlight under-used objects.

This panel presents strategies for digital imaging that focus on digital accessibility, equity, agency, and liberal arts learning. In fall 2020, the Williams College Museum of Art launched a minimal-budget imaging project that initially responded to concerns about equity for hybrid and remote learning. How do you bring digital imaging, including RTI (reflectance transformation imaging) and photogrammetry, to students in a liberal arts environment? How do digital models enhance and not replace in-person learning with art? Moderated byВ Austin Mason, Assistant Director for Digital Humanities & Director of Digital Arts & Humanities, Carleton College Liz Gallerani, Curator of Mellon Academic Programs, Williams College Up Close and Personal: Art Museums and Digital ModelsД«eth Fischer, Postdoctoral Fellow in Digital Humanities, Williams CollegeДЄmber Orosco, MA candidate, Art History Graduate Intern, Williams College

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