New Educational Studies Courses

These courses were just added for next autumn. Enrollment is limited in the grant writing course, so register soon if you’re interested.

ESQREM 8659: Structural Equation Modeling
Mondays 9:35am-12:15pm
Dr. Minjun Kim

Basic concepts of structural equation modeling, including approaches to regression, path analysis, confirmatory factor analysis, and structural model building, as well as some advanced models. Prereq: Students should have successfully completed several introductory and intermediate level graduate statistics courses. Not open to students with credit for EDUPL 883.

EDUCST 5765: Grant Writing
Tuesdays 4:30-6:50pm
Dr. Laura Justice

Being able to write competitive grants to secure internal and external funding is a desired skill for many academics. However, writing grants is different than the other types of writing activities in which academics engage, such as writing research articles and reports. This seminar provides hands-on guidance to graduate students to support their ability to write competitive grants; we learn how to carefully study funding announcements, generate fundable ideas and submit competitive applications. In this seminar, we’ll also hear from academics who have written competitive applications and from development officers who strive to identify funding opportunities. In addition, we’ll also spend time considering such topics as (1) how does one engage in research activities supported by grants? (2) what is the difference between pre- and post-award support? and (3) what kinds of costs can I usually put on a grant?

New SP17 Course! GEOG 8400: Critical Issues in Human Geography

8400-sp-2017-flier

Geography 8400: Critical Issues in Human Geography

Spring 2017 – ‘THE SOCIAL POWER OF ALGORITHMS’ 

Tuesdays, 2:15-5:00, Derby 1116

 

Nancy Ettlinger, 1144 Derby, ettlinger.1@osu.edu; 292-2573

 

This graduate seminar takes its specific name from an apt title of a recently published article ‘The Social Power of Algorithms.’ Broadly, the point of the article and the course overall is that in the new millennium algorithms infuse social, work, political, and personal lives through firms, government, as well as the often unconscious participation of ordinary people engaged in daily practices of work, consumption, and digital sociality. Unconscious participation in the digital regime of governance reflects a particular feature of algorithmic life: the invisibility of power relations that underscore it, a post-panoptic reality. The course focuses on the socio-economic, political, and subjective dimensions of algorithmic life and engages topics ranging from how algorithms govern and shape our lives as consumers, citizens, and workers, to issues of subjectivity in relation to digital technologies and possible avenues of contestation and algorithmic resistance. The course approaches algorithms and big data more generally from a critical, not a technical vantage point, consistent with the burgeoning, interdisciplinary field of critical data studies.

 

Specific topics will include: (reading is tentative — there is probably too much here; I will have to cut)

 

how algorithms infuse everyday life & the consequences

tentative reading: “The social power of algorithms” (Beer, Information, Communication & Society, 2017); “Engineering the Public: Big Data, Surveillance, and Computational Politics” (Tufekci, 2014); “Crowdsourced Surveillance and Networked Data” (Lally, Security Dialogue, 2016); Algorithmic Life: Calculative Devices in the Age of Big Data (Amoore & Piotukh, eds., 2016); The Black Box Society: The Secret Algorithms that Control Money and Information (Pasquale, 2015); Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy (O’Neil, 2016)

the materiality of the cloud: how the cloud touches down in specific places & consequences

tentative reading: The Prehistory of the Cloud (Hu, 2015); “The Global Assemblage of Digital Flow’: Critical Data Studies and the Infrastructures of Computing” (Pickren, Progress in Human Geography, 2016); Cyber-Proletariat: Global Labour in the Digital Vortex (Dyer-Witheford, 2015).

work and prosumer capitalism in the digital economy

tentative reading: “The Governance of Crowdsourcing: Rationalities of the New Exploitation” (Ettlinger, Environment & Planning A, 2016); Digital Labor: The Internet as Playground and Factory (Scholz, ed., 2013); Digital Labour and Prosumer Capitalism: The US Matrix (Frayssé & O’Neil, eds., 2015); “Prosuming (the) Self” (Charitsis, Ephemera, 2016); “A New Algorithmic Identity: Soft Biopolitics and the Modulation of Control” (Chenney-Lippold, 2011)

algorithms & discrimination: new mechanisms of segregation

tentative reading: “Racial Formation, Inequality and the Political Economy of the Web” (Mcllwain, Information, Communication & Society, 2016); “’Health and Ancestry Starts Here’: Race and Prosumption in Direct-To-Consumer Genetic Testing Services” (Merz, Ephemera, 2016); How Social Media Undermines Transitions to Democracy (Lynch, Freelon, Aday, 2016).

algorithims and affect

tentative reading: “Social Media, Financial Algorithms and the Hack Crash” (Karppi & Crawford, Theory, Culture & Society, 2015); “The Conservatism of Emoji: Work, Affect, and Communication” (Stark & Crawford, Social Media and Society, 2015).

strategies of digital resistance

tentative reading: Coding Freedom: The Ethics and Aesthetics of Hacking (E.G. Coleman, 2013); a number of articles in Big Data & Society; “Intifada 3.0? Cyber-Colonialism and Palestinian Resistance;” (Tawil-Souri & Aouragh, Arab Studies Journal, 2014); “This One Does not go up to 11: The Quantified Self Movement as an Alternative Big Data Practice;” “From Social Movements to Cloud Protesting: The Evolution of Collective Identity” (Milan, Information, Communication & Society, 2015).

reflections

tentative reading: Exposed: Desire and Disobedience in the Digital Age (Harcourt, 2015); Critical Theory and the Digital (Berry, 2014); “Postscript on the Societies of Control” (Deleuze, October, 1992); “The Neoliberalisation of the Self: ‘Human Computers’ in 21st Century Capitalism” (Ettlinger, Workshop on Technology of the Self – University of Chicago, December 2016)

 

Students will be evaluated on the basis of discussion facilitation and a paper that connects issues engaged in the course with their research.

 

 

 

New SP17 Course! HTHRHSC 5880.04S

HTHRHSC 5880.04S,  – Interprofessional Education: Collaboration in Urban Communities

Spring Semester

Tuesday, 4:30-6:50

 

 

Develop and practice skills necessary for interprofessional collaboration in solving complex human problems in a case based format with a particular focus on urban communities the first half of the course.  This will prepare students for the second half of the course which will be focused on students, faculty, community residents and professionals offering research-based solutions to community identified challenges. There will be a focus on community asset mapping, best professional and interprofessional practices, and teamwork. This will culminate in a service learning project at the end of the semester.

For more information, feel free to contact Antoinette Miranda at Miranda.2@osu.edu or 614-292-5909.

 

(Please note: HTHRHSC 5880.01 Interprofessional Education: Seminar on Interprofessional Care course content has been combined with HTHRHS 5880.04.  Thus, the case based format will be used in this course)