Survey of Network Stakeholders (v2) |
Informed Consent
Dear Survey Participants,
Thank you for sharing your experiences with me. This survey should take roughly 5 minutes and will be used as part of research on collaboration in generative social-impact networks. This page explains the research, how information obtained in this survey will be used, stored, and how your identity will be protected.
How I will use information obtained in this survey: I will use the information obtained to inform my research, particularly to help me understand common strengths and problems with network collaboration processes. Collaboration processes include things like working groups, tables, collective strategy-setting, campaigns, learning circles, governance, forums, meetings, and other processes.
How the information will be stored: The data may be stored on my computer, in google drive, on Dropbox, by surveymonkey, and other cloud servers. I may also send some data over email, but only after it has been anonymized.
How I will anonymize your input: I will not collect your name in this survey. I do ask for the name of the network you are answering the survey about, but will assign each network a letter or a number, for example Network A or Network 4. My key to remember which network is which will be stored on my computer and not included with the research submitted to the Open University. I will NOT use your network’s name without the explicit permission of someone qualified to offer approval.
The research topic: The working research title is “A Soft Systems Approach to Using Fairness Heuristic Theory in Generative Social-Impact Networks.” This paper is being written to satisfy the Open University’s requirements for a Masters of Science in Systems Thinking in Practice. Research created for an MSc at the Open University is in the public domain. I also plan to attempt to publish it, wholly or in part, in other venues. The Open University is located in the UK and I am based in the USA.
This research examines whether Fairness Heuristic Theory (which puts forth the idea that people use judgments of whether a process is fair as a shorthand for deciding to engage in that process) has implications that can improve the collaboration process of generative social-impact networks. A generative social-impact network is one where members come together intentionally to address a complex problem, and adapt over time to maintain relevance in their efforts to generate meaningful interventions in the complexity.
I am using Soft Systems Methodology (SSM) to undertake this investigation. SSM has four iterative stages: finding out about a situation; making models of purposeful activity; using the models for discussion; taking action. In this survey, I will primarily be focusing on finding out about the situation.
For more information: Contact me, Gail Francis, at ampanalyst@gmail.com.
Thank you for sharing your experiences with me. This survey should take roughly 5 minutes and will be used as part of research on collaboration in generative social-impact networks. This page explains the research, how information obtained in this survey will be used, stored, and how your identity will be protected.
How I will use information obtained in this survey: I will use the information obtained to inform my research, particularly to help me understand common strengths and problems with network collaboration processes. Collaboration processes include things like working groups, tables, collective strategy-setting, campaigns, learning circles, governance, forums, meetings, and other processes.
How the information will be stored: The data may be stored on my computer, in google drive, on Dropbox, by surveymonkey, and other cloud servers. I may also send some data over email, but only after it has been anonymized.
How I will anonymize your input: I will not collect your name in this survey. I do ask for the name of the network you are answering the survey about, but will assign each network a letter or a number, for example Network A or Network 4. My key to remember which network is which will be stored on my computer and not included with the research submitted to the Open University. I will NOT use your network’s name without the explicit permission of someone qualified to offer approval.
The research topic: The working research title is “A Soft Systems Approach to Using Fairness Heuristic Theory in Generative Social-Impact Networks.” This paper is being written to satisfy the Open University’s requirements for a Masters of Science in Systems Thinking in Practice. Research created for an MSc at the Open University is in the public domain. I also plan to attempt to publish it, wholly or in part, in other venues. The Open University is located in the UK and I am based in the USA.
This research examines whether Fairness Heuristic Theory (which puts forth the idea that people use judgments of whether a process is fair as a shorthand for deciding to engage in that process) has implications that can improve the collaboration process of generative social-impact networks. A generative social-impact network is one where members come together intentionally to address a complex problem, and adapt over time to maintain relevance in their efforts to generate meaningful interventions in the complexity.
I am using Soft Systems Methodology (SSM) to undertake this investigation. SSM has four iterative stages: finding out about a situation; making models of purposeful activity; using the models for discussion; taking action. In this survey, I will primarily be focusing on finding out about the situation.
For more information: Contact me, Gail Francis, at ampanalyst@gmail.com.