Questions for Nilam Ram about his 4/18 talk regarding "Modeling at Multiple Time-Scales"

[jamesallenevans]

Pose your questions for Nilam Ram for his talk Modeling at Multiple Time-Scales: Screenomics and Other Super-Intensive Longitudinal Paradigms. Abstract A decade ago, we used newly emerging smartphone technologies to obtain multiple time-scale data that facilitated study of new intraindividual variability constructs and how they changed over time. The recent merging of daily and digital life further opens opportunity to observe, probe, and modify every imaginable aspect of human behavior – at a scale we never imagined. Using collections of intensive longitudinal data from survey panels, experience sampling studies, social media, laboratory observations, and our new Screenomics paradigm, I illustrate how methodological invocation of zooms, tensions, and switches (ZOOTS) is transforming our understanding of human dynamics and development. Along the way, I develop calls for more flexible definitions of time, fluidity and diversity of methodological approach, and engagement with science that adds good into the world. Two short, related papers available here and here

[yunshu3112]

Hi Prof. Ram, I am very impressed by your idea of Human Screenome Project. I wonder what is the current academic consensus on the privacy concerns raised by utilizing digital data. How can data privacy be ensured on the technical side? Thank you!

[yuanninghuang]

Thank you for sharing. How do you envision balancing the benefits of gaining rich insights into human digital behaviors through screenome data with the significant privacy concerns and ethical implications of collecting such granular personal data at scale?

[vigiwang]

Hi Professor Ram, thanks for your sharing! It is indeed impressive that we have such tremendous data for us to explore in our future research, I was wondering is there an academic consensus on the line between exploit individual data and invasion of individual privacy?

[yunfeiavawang]

Thanks for the fascinating paper. I find the presentation's data visualization to be quite imaginative and captivating. It's possible that the query has nothing to do with the paper's substance. However, I'm curious about your thoughts on the trade-off between the intricacy of the visuals and the meaning it conveys. How do you create these kinds of visuals?

[MaoYingrong]

Thanks for sharing your work! I found the idea of collecting people's screenshots very interesting, in spite of the problem of computational-resources-expensive and privacy. I think it would be valuable to add more dimensions of such digital data, such as the variety of screenshots and the frequency of similar screenshots.

[franciszz992]

Thanks for sharing your research! I'm surprised to see that you could obtain such screen usage data. Suppose there is a way to collect data on any behaviors of people using smartphones with no constraints on data, what would you do with them?

[Pritam0705]

Thanks for sharing your research! How do you plan to analyze and make sense of the massive amounts of screenshot data collected through the screenome approach? What kinds of automated techniques or machine learning methods will be employed to extract insights from millions of individual screenshots?

[boki2924]

Thank you for sharing! How has the integration of the Screenomics paradigm and the methodological invocation of zooms, tensions, and switches (ZOOTS) advanced our understanding of intraindividual variability and human behavior, and what are some specific examples of how this approach has led to practical applications or interventions that benefit society?

[zimoma0819]

Thank you for sharing! This paper emphasizes the transformative potential of super-intensive longitudinal paradigms like Screenomics, which utilize advanced data collection methods across multiple time scales to deepen our understanding of human behavior dynamics.

[Adrianne-Li]

Hello Professor Ram,

Thank you for sharing your fascinating research on the Screenomics framework. The method of collecting screenshots to analyze phone usage seems particularly innovative, though I imagine it might also be computationally intensive. Could you elaborate on the rationale behind choosing to collect screenshots as opposed to other data collection methods? What specific advantages does this approach provide in studying the nuances of human-digital interaction?

Thank you for your insights, Adrianne(zhuyin) Li (CNetID: zhuyinl)

[schen115]

Thank you for sharing this interesting topic! I was curious that how do you address the challenges of ensuring the transferability of models across diverse individuals and contexts?

[muhua-h]

Reiterate the question I asked during the live workshop. Although this study emphasize on person specific approach, but then all the analysis are performed at sample/group level. I understand that for publication purpose, reviewers would like to see how groups differ from each other among the sample. However, I am also curious, if interventions (e.g., nudging) are developed based on the findings of this series of studies, should the intervention be given solely based on their individual characteristics and usage patterns, or based use the group statistics as the baseline? If neither, then how to integrate individual & group information?

[Ry-Wu]

Thank you for sharing your amazing research! In the paper, you discuss the transformative potential of the Screenomics paradigm and the ZOOTS methodological framework in studying human dynamics over multiple time-scales. What are some of the main insights you've gained about human behavior changes over time through these methods?

[naivetoad]

How does the Human Screenome Project address the limitations of traditional self-reported screen time measures in understanding the effects of digital media on mental and physical health?

[icarlous]

How does this approach deepen our grasp of human dynamics and growth? Also, how do intensive longitudinal data sources like survey panels, experience sampling, and social media help in detecting and tracking changes in individual behavior over time?

[cty20010831]

Thanks for sharing! Can you explain the Screenomics paradigm and how it differs from traditional longitudinal data collection methods? What unique insights have you gained from using Screenomics to study human behavior and development?

[kunkunz111]

Thank you for presenting on the Screenomics research, which I find to be an intriguing and substantial effort in understanding digital life. My question pertains to the implications of changes to Molenaar's manifesto on our research methodologies and applications. Specifically, how do you foresee these adjustments influencing the way we study digital habits and well-being?

[Huiyu1999]

Thanks for sharing! Based on the current implementation of the Screenomics approach, how can it be expanded to include a more diverse range of participants and digital activities? How can transfer learning be used to adapt AI models to new tasks or data types with minimal additional training?

[Yunrui11]

Thank you for the presentation, professor Ram! I am intrigued by your approach to studying human behavior through the Screenomics framework, particularly how it captures the dynamic interplay of psychological and media processes on multiple time-scales. In your recent work, you discuss the use of "zooms, tensions, and switches" (ZOOTS) as a methodological tool. Could you elaborate on how these tools help in understanding the complexity of digital interactions? Additionally, given the ethical concerns around data privacy, how do you ensure that the intensive longitudinal data collected respects individual privacy while still providing comprehensive insights into digital behaviors?

[erikaz1]

This was an amazing lecture. My interpretation of the 2D screenshot mapped onto the 2D arousal space concept was that people create mental maps of their own behavior. The idea is that we are not just bundles of activity, we are bundles of activity possibly acting on some paradigm, which might further explain “patterns” and “loops”. Would this be useful information/framework to have? If so, how exactly do we understand the representation of “time” (Tiktok 1.5 hour loop)?

[aliceluo1]

Thanks Professor Ram for sharing your insights. How does the integration of multiple time-scale data, particularly through the Screenomics paradigm, enhance our understanding of intraindividual variability and its implications for behavioral research?