Smart Cities and Connected Communities
Integrating people, data, devices, infrastructure, and institutions to realize the potential of communities.
Research Projects
Personalized Account and Community Management Tool
Principal Investigator(s): Jennifer Golbeck
Funder: Intelligent Automation, Inc Other
Research Areas: Future of Work > Smart Cities and Connected Communities
Personalized Account and Community Management Tool
Principal Investigator(s): Jennifer Golbeck
Funder: Intelligent Automation, Inc Other
Research Areas: Future of Work > Smart Cities and Connected Communities
Personalized Account and Community Management Tool
Convergence Accelerator Phase I (RAISE): Credible Open Knowledge Network
Principal Investigator(s): Naeemul Hassan
Funder: The University of Texas, Arlington Other
Research Areas: Computational Linguistics, Machine Learning, and Information Retrieval > Smart Cities and Connected Communities
Principal Investigator(s): Naeemul Hassan
Funder: The University of Texas, Arlington Other
Research Areas: Computational Linguistics, Machine Learning, and Information Retrieval > Smart Cities and Connected Communities
Long Term Multi-Instruments Land Surface Reflectance Record and Applications
Principal Investigator(s): Sergii Skakun
Funder: NASA - Goddard Space Flight Center Other
Research Areas: Computational Linguistics, Machine Learning, and Information Retrieval > Future of Work > Smart Cities and Connected Communities
Principal Investigator(s): Sergii Skakun
Funder: NASA - Goddard Space Flight Center Other
Research Areas: Computational Linguistics, Machine Learning, and Information Retrieval > Future of Work > Smart Cities and Connected Communities
Faculty
Recent News
Frias-Martinez Joins UMD Effort Focused on Food and Nutrition Security
The multidisciplinary team received a $750K NSF grant to address the challenges of food security in Maryland.
Dr. Daniel Greene: Rethinking How Schools, Libraries, and Community Orgs Tackle Poverty
Can a community barbeque be more beneficial to citizens than learning computing skills?
A farmer tends crops in Uganda, an area where bias in AI algorithms monitoring global crop health might misinterpret data due to a lack of knowledge of local growing methods. Photo by Nuno Almeida, Dreamstime.com