PD Stefan Bosse - Long-term Longitudinal data collection and analysis using Agents

Long-term Longitudinal data collection and analysis in highly dynamic systems using mobile Crowd Sensing and mobile Agents

Challenges and Issues

PD Dr. Stefan Bosse

sbosse@uni-bremen.de

University of Bremen, Dept. Mathematics and Computer Science, Bremen, Germany

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PD Stefan Bosse - Long-term Longitudinal data collection and analysis using Agents

Introduction

This work addresses longitudinal data collection and aggregation that can be used for:

  1. Data Analysis and Data Mining (statistical);
  2. Data- and Event-driven Simulation;
  3. Automated Prediction and Classification using Machine Learning (ML is kind of simulation = Extrapolation);
  4. Time-series analysis and prediction.
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PD Stefan Bosse - Long-term Longitudinal data collection and analysis using Agents

Introduction

This work addresses longitudinal data collection and aggregation that can be used for:

  1. Data Analysis and Data Mining (statistical);
  2. Data- and Event-driven Simulation;
  3. Automated Prediction and Classification using Machine Learning (ML is kind of simulation = Extrapolation);
  4. Time-series analysis and prediction.

All four domains depend on the strength and statistical quality on the vertical and horizontal (longitudinal time) scale!

Incremental longitudinal data sampling is a challenge!

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PD Stefan Bosse - Long-term Longitudinal data collection and analysis using Agents

Longitudinal Surveys

Typical applications of classical longitudinal surveys are (Lynn, 2009):

  • Surveys of businesses
  • Surveys of school-leavers, graduates or trainees
  • Household panel surveys
  • Birth cohort studies
  • Epidemiological studies
  • Social Networking
  • Socio-technical Systems
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PD Stefan Bosse - Long-term Longitudinal data collection and analysis using Agents

Longitudinal Surveys

Typical applications of classical longitudinal surveys are (Lynn, 2009):

  • Surveys of businesses
  • Surveys of school-leavers, graduates or trainees
  • Household panel surveys
  • Birth cohort studies
  • Epidemiological studies
  • Social Networking
  • Socio-technical Systems

Surveys are typically participatory and rely on models and survey plans

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PD Stefan Bosse - Long-term Longitudinal data collection and analysis using Agents

Longitudinal Surveys

Typical applications of classical longitudinal surveys are (Lynn, 2009):

  • Surveys of businesses
  • Surveys of school-leavers, graduates or trainees
  • Household panel surveys
  • Birth cohort studies
  • Epidemiological studies
  • Social Networking
  • Socio-technical Systems

Surveys are typically participatory and rely on models and survey plans

Crowdsensing is typically opportunistic and self-organizing

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PD Stefan Bosse - Long-term Longitudinal data collection and analysis using Agents

Longitudinal Data Sampling