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- Creator:
- Rida, Salam and Smith, Torri
- Description:
- Michigan-Mellon’s renewed Egalitarian Metropolis cycle of funding focuses on the city of Detroit and ways that creative practice and the urban humanities can equitably address urban recovery. In tangible ways, The University of Michigan Architecture Preparatory Program (ArcPrep) is already doing just that: creating a sense of optimism and agency for Detroit public high school juniors interested in design and its affiliated fields. , Through an intensive, semester-long studio taught by our Mellon Fellows in Architecture, young designers learn to critically discern Detroit’s complex spatial histories as they explore ways to shape the city’s possible futures. The program takes the students’ talents, creativity, and expertise very seriously, nurturing an inclusionary pedagogical model based broadly on egalitarian educational ideals. In the process, we bring together a network of Taubman College faculty and students, Detroit institutions, community and government organizations, and professional enterprises into conversation and collaboration with students. In the past, ArcPrep has partnered with the Detroit Public Library, the Detroit Institute of Arts, the Detroit Cultivator Community Land Trust, and the Sidewalk Festival, to name a few. With each partnership, we situated culturally contingent, place-based design exercises for students to directly engage with the city and its leaders., and More information about the Michigan Architecture Preparatory Program (ArcPrep) can be found at https://taubmancollege.umich.edu/academics/pre-college-programs/michigan-architecture-prep/
- Discipline:
- Social Sciences and Humanities
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- Creator:
- Carducci, Vincent and Mascorella, Anna
- Description:
- What does/can/should an egalitarian metropolis look like? And how does a focus on Detroit allow us to ask and answer these conceptual—and practical—questions in ways that draw on a variety of disciplines including architecture, history, urban planning, and the urban humanities?, This course offers an interdisciplinary perspective on urban studies, urban design, and the ways that concerns around social justice and equity can influence how we think about cities in the past, present, and future. Drawing on a range of faculty expertise in the College of Literature, Science, and the Arts and Taubman College of Architecture and Urban Planning, this team-taught course also incorporates the voices of practitioners and community members involved in current attempts to revitalize Detroit and “Detroit-like” cities in the United States and elsewhere. By “Detroit-like cities” we mean urban areas that have experienced negative population growth, deindustrialization, economic disinvestment, racial stratification, environmental injustices, and concomitant crises in housing, health care, policing, criminalization, and education. At the same time, Detroit and Detroit-like cities offer opportunities to conjoin critical humanistic inquiry, urban design, and policy solutions for building more equitable and sustainable cities., and This course is co-designed and co-taught as part of the Egalitarian Metropolis Project, which is a partnership between the Taubman College of Architecture and Urban Planning and the College of Literature, Science, and the Arts. It combines traditional course materials with a team-based orientation to teaching and learning. More information about the EM Classroom can be found at https://sites.lsa.umich.edu/egalitarianmetropolis/em-classroom/.
- Discipline:
- Social Sciences and Humanities
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- Creator:
- Porter, David
- Description:
- Launched in response to the growing crisis of narrative infrastructure, the Detroit River Story Lab is a collaborative, public-facing initiative that leverages the sociocultural, economic, and ecological centrality of the Detroit River corridor to reimagine it as an urban case study in narrative placemaking and civic renewal. Beginning with the premise that place-based storymaking is vital to sustaining democratic values and community capacity for self-determination, the Lab partners on projects designed to support the narrative capacities of local urban communities through the story-telling channels of community journalism, place-based education, and public history., The Story Lab co-designs scalable interventions to strengthen community-based forms of narrative infrastructure. Participants draw upon archives and oral histories to document previously marginalized narratives centering the river. Drawing on this research, we prototype new approaches to place-based learning, within the university and beyond, to expand the publics involved in the production and circulation of local narratives of identity and urban memory., and More information about the Detroit River Story Lab (DRSL) can be found at https://sites.lsa.umich.edu/detroit-river-story-lab/.
- Discipline:
- Humanities and Social Sciences
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- Creator:
- Black, Marcia and Draper Garcia, Lex
- Description:
- Black Bottom Archives (BBA) is a community-driven media platform dedicated to centering and amplifying the voices, experiences, and perspectives of Black Detroiters through digital storytelling, journalism, art, and community organizing with a focus on preserving local Black history & archiving our present., Black Bottom Archives Presents: Sankofa Community Research (SCR) is a Black Detroiter led, year-long community research project in partnership with Detroit Peoples Platform and academic partners at the University of Michigan, Eastern Michigan University, and Wayne State University to collect oral histories and conduct historical research to document the multi-generational impact of the destruction of Black Bottom and Paradise Valley on Black Detroiters; and to explore Black Detroiters collective vision for reparations as part of the 'I-375 Reconnecting Communities Project.', and Bringing together oral histories, census records, business records, historic maps, and other sources, we will examine how displacement impacted people, businesses, cultural centers, environment, public space, and infrastructure and produce a community report that presents evidence of impact and proposes reparative actions. More information about Black Bottom Archives can be found at https://www.blackbottomarchives.com/.
- Discipline:
- Humanities and Social Sciences
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- Creator:
- CTEES
- Description:
- Reconstructed CT slices for skull of Heterotis niloticus (University of Michigan Museum of Zoology catalog number UMMZ Fish 195004) as a series of TIFF images. Raw projections are not included in this dataset. The reconstructed slice data from the scan are offered here as a series of unsigned 16-bit integer TIFF images. The upper left corner of the first image (*_0000.tif) is the XYZ origin.
- Keyword:
- Zoology, Ichthyology, Fish, CT, Osteoglossidae, and UMMZ
- Discipline:
- Social Sciences
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- Creator:
- Samuel, Sara M, Wilson, Diane L, and Fleming, Emily K
- Description:
- The International Committee of Medical Journal Editors (ICMJE) requires researchers to post individual participant data (IPD) plans for interventional clinical trials with registration in order to be eligible for publication in its member journals. This study looked at how researchers interpret the ICMJE requirements and the related prompts for information used by ClinicalTrials.gov. This data consists of the analyzed contents of the IPD plans that researchers at the University of Michigan (U-M) submitted with trial registrations for the first 27 months that the 2019 requirement was in effect.
- Keyword:
- research data sharing, research data policy, research data, clinical trials, ClinicalTrials.gov, individual participant data, IPD, data sharing plan, and compliance
- Citation to related publication:
- Samuel, S. M. & Wilson, D. L. & Fleming, E., (2023) “Evaluating individual participant data plans for ICMJE compliance: A case study at University of Michigan”, Journal of the Society for Clinical Data Management 3(4). doi: https://doi.org/10.47912/jscdm.257
- Discipline:
- Health Sciences, Social Sciences, and General Information Sources
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- Creator:
- Eckel, Catherine, Hoover, Hanna, Krupka, Erin, Sinha, Nishita, and Wilson, Rick
- Description:
- The research reported here is part of a larger study where we recruited students from the entering undergraduate classes in 2016, 2017, 2018 and 2019 at Rice University. The aim of the larger project is to examine the evolution of economic preferences (altruism, risk aversion, time preference, competitiveness, loss aversion, in-group favoritism, among others) across their college years. Subjects participated in numerous laboratory and online studies between matriculation and 2021. This paper uses data from the experimental design of a subset of tasks that subjects completed. The survey wave used in this paper was collected in June and July of 2021. This survey was composed of fifteen modules and had a total of 710 participants. and The survey consisted of 15 modules. Module 1 consisted of questions on COVID-19 related behavior and future expectations of the COVID-19 pandemic. Module 2 consisted of an emotion elicitation task. Module 3 solicited trust levels of several authorities and news outlets. Module 4 consisted of several general socioeconomic preference questions. Module 5 asked questions related to how frequently subjects provide various forms of help. Module 6 solicited social appropriateness ratings regarding COVID-19 preventative behavior. Module 7 consisted of an estimation task. Module 8 was the dictator game with the freshmen recipient. Module 9 involved a risky investment decision task. Module 10 was the dictator game with the same-class recipient. Module 11 involved a trust-game. Module 12 was the dictator game with charity as the recipient. Module 13 asked questions regarding help received by the university as well as COVID-19 academic impact. Module 14 included questions regarding the subjects’ COVID-19 infection status. Module 15 posed questions regarding subjects’ resiliency. Only modules 8, 10, and 12 were used in this analysis. These corresponded to Q11 - Q18 of the instrument. In each module, subjects played a dictator game, guessed what others did in the game and played a coordination game designed to elicit norms for the dictator game they just played. After the subject completed the survey, we randomly selected a module for payment. Subjects then received an email alerting the subject which module was selected for payment and how much money they would receive given their responses in the selection module. Data was analyzed using STATA; if running the do file for STATA, and not already installed, then add ""capture ssc install estout" to the very top of the .do file.
- Keyword:
- Dictator game, Social norms, and Charitable giving
- Discipline:
- Social Sciences
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- Creator:
- Carlson, Jake
- Description:
- This data set is my analysis of data management plans (DMPs) that were written by researchers at the University of Michigan for awards made between March 2020 and February 2021. I conducted this analysis to explore the potential utility of DMPs as a tool to aid data curators in understanding and working with the associated data set. Variables collected include: the types and formats of the expected data sets, information about the metadata and documentation to be generated, the anticipated methods for making the data set publicly available, references to Intellectual Property allowances or concerns, and the stated duration for preserving the data sets.
- Keyword:
- Data management plans, Data curation, Data sharing, and Content Analysis
- Citation to related publication:
- Carlson, J. (2023) Untapped Potential: A Critical Analysis of the Utility of Data Management Plans in Facilitating Data Sharing. Journal of Research Administration. Fall 2023. Forthcoming.
- Discipline:
- Social Sciences
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- Creator:
- Brennan, Jonathan R
- Description:
- These files contain the raw data and processing parameters to go with the paper "Hierarchical structure guides rapid linguistic predictions during naturalistic listening" by Jonathan R. Brennan and John T. Hale. These files include the stimulus (wav files), raw data (BrainVision format), data processing parameters (matlab), and variables used to align the stimuli with the EEG data and for the statistical analyses reported in the paper (csv spreadsheet). and Updates in Version 2: - data in BrainVision format - added information about data analysis - corrected prePROCessing information for S02
- Keyword:
- Linguistics, Speech, and EEG
- Citation to related publication:
- Brennan, J. R., & Hale, J. T. (2019). Hierarchical structure guides rapid linguistic predictions during naturalistic listening. PLoS ONE 14(1). e0207741
- Discipline:
- Social Sciences
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- Creator:
- Brennan, Jonathan R.
- Description:
- These files contain the raw data and processing parameters to go with the paper "Hierarchical structure guides rapid linguistic predictions during naturalistic listening" by Jonathan R. Brennan and John T. Hale. These files include the stimulus (wav files), raw data (matlab format for the Fieldtrip toolbox), data processing paramters (matlab), and variables used to align the stimuli with the EEG data and for the statistical analyses reported in the paper.
- Keyword:
- linguistics, syntax, language, and eeg
- Citation to related publication:
- Brennan JR, Hale JT (2019) Hierarchical structure guides rapid linguistic predictions during naturalistic listening. PLoS ONE 14(1): e0207741. https://doi.org/10.1371/journal.pone.0207741
- Discipline:
- Social Sciences