Search our database of all past CCSS grantees, fellows, collaborative projects, and working group grants.
First Name | Last Name | Department / School | Project Title Sort descending | Abstract/Impact Statement | Year | Semester | PI/Co-PI | College | Grant Type |
---|---|---|---|---|---|---|---|---|---|
Stephen | Hilgartner | Science and Technology Studies | comparative study of expertise | 2020 | PI | Cornell College of Arts and Sciences | COVID_19 Grant | ||
Bryn | Rosenfeld | Government | corus coronavirus in russia an | 2020 | PI | Cornell College of Arts and Sciences | COVID_19 Grant | ||
John | Zinda | Global Development | flood risk in covid19 context | 2020 | PI | Cornell College of Agriculture and Life Sciences | COVID_19 Grant | ||
Kim | Weeden | Sociology | implications of course enrollm | This project will use complete student transcript data to map the bipartite (two-mode) network that connects students to each other via their enrollment in college courses, thereby creating social structural conditions for the spread of COVID-19 on college campuses. We will evaluate how clusters of course offerings, the timing of courses throughout the week, and mode of class instruction affect the structure of this network. We will also assess how students with different majors, level in school, gender, and race occupy different positions within the network. |
2020 | PI | Cornell College of Arts and Sciences | COVID_19 Grant | |
Benjamin | Cornwell | Sociology | implications of course enrollm | This project will use complete student transcript data to map the bipartite (two-mode) network that connects students to each other via their enrollment in college courses, thereby creating social structural conditions for the spread of COVID-19 on college campuses. We will evaluate how clusters of course offerings, the timing of courses throughout the week, and mode of class instruction affect the structure of this network. We will also assess how students with different majors, level in school, gender, and race occupy different positions within the network. |
2020 | Co-PI | Cornell College of Arts and Sciences | COVID_19 Grant | |
Shanjun | Li | Dyson School of Applied Economics and Management | measuring the economic and env | 2020 | PI | Cornell SC Johnson College of Business | COVID_19 Grant | ||
Panle Jia | Barwick | Economics | measuring the economic and env | 2020 | Co-PI | Cornell College of Arts and Sciences | COVID_19 Grant | ||
John | Doris | Dyson School of Applied Economics and Management | moral values and perceptions o | 2020 | PI | Cornell SC Johnson College of Business | COVID_19 Grant | ||
Kevin | Kniffin | Dyson School of Applied Economics and Management | moral values and perceptions o | 2020 | Co-PI | Cornell SC Johnson College of Business | COVID_19 Grant | ||
Laura | Niemi | Psychology | moral values and perceptions o | 2020 | Co-PI | Cornell College of Arts and Sciences | COVID_19 Grant | ||
Anthony | Ong | Human Development | social isolation loneliness an | 2020 | PI | Cornell College of Human Ecology | COVID_19 Grant |
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