Link to the University of Pittsburgh Homepage
Link to the University Library System Homepage Link to the Contact Us Form

Socially Responsible Data Collection and Network Intervention Codesigns

Rahimian, Amin (2022) Socially Responsible Data Collection and Network Intervention Codesigns. In: Pitt Momentum Fund 2022.

[img]
Preview
PDF (Showcase Poster)
Presentation

Download (175kB) | Preview

Abstract

Data collection is an important bottleneck in social network intervention designs. While prior work has paid much attention to reducing costs and maximizing benefits of the collected data, it is equally important to note the vulnerability of individuals to being left out of the collected data or being unduly exposed in the collected data because of the interventions. For example, public health professionals engage with vulnerable populations to improve effectiveness of HIV and suicide prevention programs. These community relations can be harmed if public health efforts pose excessive privacy risks to individuals or fail to effectively address the inequalities in the population. This project seeks to reconcile efficiency with equity and privacy considerations in the design of complex social network interventions. The focus is on developing a co-design framework for data collection and network intervention in large-scale, limited-information and resource-constrained environments where information acquisition is especially challenging and decision-makers need to strategize about how to deploy their limited resources across the entire scale of their system; not only to optimize intervention outcomes, but to do so in a socially responsible manner.


Share

Citation/Export:
Social Networking:
Share |

Details

Item Type: Conference or Workshop Item (Other)
Creators/Authors:
CreatorsEmailPitt UsernameORCID
Rahimian, AminRAHIMIAN@pitt.edu0000-0001-9384-1041
Centers: Other Centers, Institutes, Offices, or Units > Office of Sponsored Research > Pitt Momentum Fund
Date: 2022
Event Title: Pitt Momentum Fund 2022
Event Type: Other
DOI or Unique Handle: 10.18117/n8f0-z339
Schools and Programs: Swanson School of Engineering > Industrial Engineering
Refereed: No
Uncontrolled Keywords: Seeding Grants - Engineering, Technology, Natural Sciences, and Mathematical Sciences
Date Deposited: 07 Mar 2022 19:58
Last Modified: 14 Mar 2022 14:27
URI: http://d-scholarship.pitt.edu/id/eprint/42318

Metrics

Monthly Views for the past 3 years

Plum Analytics

Altmetric.com


Actions (login required)

View Item View Item