Crowd-Computing Hybrids in Scientific Discovery
We are researchers investigating the use of crowd-computing hybrids for scientific research. The results of this study will be used as input to the design of a mixed-initiative system that will be developed within the SciCrowd project, a hybrid approach for supporting scholars, students, and general public on their scientific research activities. We would appreciate your help in answering a few questions for us. Rest assured that the information you share here is confidential. Thank you in advance for taking your time and effort to respond to this questionnaire.
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How many years of experience do you have working on research? *
What is your current research focus? *
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Are you male or female? *
What is your institution’s affiliation country? *
What are the main problems when you are working on your research tasks? *
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How do you handle the high rate of academic publishing when you need to perform a literature review? Please explain the process through the several phases of how data is retrieved and processed. *
What are the determining reasons to collaborate with your peers in scientific research? *
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How do you go about finding experts from a different institution or field? *
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Are the current available research tools appropriate to your needs? *
What research platform(s) do you use when you need to perform a literature review? *
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How often would you use such platform(s)? *
In your opinion, what are those platforms’ best features? *
List the most negative aspects of such platforms: *
Based on the assumption that you use crowdsourcing on your research activities, what are the main types of tasks you assign to crowd workers? *
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How willing do you think a citizen scientist is motivated or interested to participate in crowd-driven research by collecting or analyzing the type of data that you work with? *
In your opinion, which forms of crowdsourcing are best suited for research? What are the best practices and the main drawbacks of using crowdsourcing for scientific purposes?
Can you identify any legal and ethical limitations that will make it difficult for people to help collect or analyze your data? *
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Integration of human input into AI systems offers great promise for the development of practical applications. What kind of features and/or forms of intelligence would you like to be added to those platforms to understand scientific data at large scale? *
What do you think about a hybrid, mixed-initiative crowd-computing system combining machine and human intelligence to overcome the shortcomings of existing AI and crowd-powered systems for scientific purposes? What are the implications for design? *
Thank you!
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