Dr. Martin Wolske

Assistant Professor

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Biography

Martin Wolske is an Associate Professor at the School of Information Sciences. His teaching and research aim to foster a rapid shift from 'thing-orientation' to 'person-orientation' using problem-posing education and participatory research co-design methods, placing special emphasis on community technology platforms that promote local social justice goals. Wolske has worked in various roles since 1995, focusing on issues of digital access and equity. He has facilitated community inquiry, shepherded community informatics projects, and developed innovative technical resources. As a principal investigator, he has received several grants related to digital inclusion and digital literacy from notable organizations, including the Department of Commerce and Economic Opportunity. Wolske has been recognized with numerous community service awards, notably the Library Journal's 2011 Teacher of the Year award and the 2013 University of Illinois Campus Award for Excellence in Public Engagement. His publication record includes contributions that explore participatory approaches to information sciences and critical pedagogies.

Research Interests

Experience

Associate Professor

1995-01-01 — Present

University of Illinois Urbana-Champaign • Champaign, IL

Teaching and research in Information Sciences focusing on community engagement and technology access.

Awards

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Teachers Ranked Excellent by Students

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Distinguished Service Award

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Campus Award for Excellence in Public Engagement

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Community Leadership Award

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Teacher of the Year Award

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Program Excellence Award

Requirements for University of Illinois

Master Program
Requirements
GPA Requirement
Required:3
IELTS
Listening
Required:7
Reading
Required:7
Writing
Required:7
Speaking
Required:7
Overall
Required:7.5
TOEFL
Listening
Required:17
Reading
Required:19
Writing
Required:21
Speaking
Required:20
Total
Required:103
GRE General
Prerequisites
Mathematical background Linear Algebra Calculus
Application Checklist
  • Online application
  • Unofficial transcripts
  • 3 Letters of Recommendation
  • Academic Statement of Purpose
  • Resume/CV
Specialization Notes

GRE is optional for admission to all graduate programs in Statistics. Full status admission requires higher language scores than limited status.