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<p class="MsoNormal">==========================================<o:p></o:p></p>
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal">CFP: Seventh International Workshop on Data: Data Acquisition & Analysis in the Era of AI (DATA)<o:p></o:p></p>
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal">==========================================<o:p></o:p></p>
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal">As the enthusiasm for and success of the Internet of Things (IoT), Cyber-Physical Systems (CPS), and Smart Buildings grows, so too does the volume and variety of data collected by these systems. How do we ensure that this data is of high
quality, and how do we maximize the utility of collected data such that many projects can benefit from the time, cost, and effort of deployments? With the development of large AI models such as Large Language Models (LLMs), how can we incorporate cyber-physical
data with these powerful tools? Large AI models, including recent varieties based on the transformer architecture, may assist in the acquisition, analysis, manipulation and consumption of data. <o:p></o:p></p>
<p class="MsoNormal">The DATA: Data Acquisition To Analysis in the Era of AI workshop aims to look broadly at interesting data from interesting sensing systems and/or how such data can be adopted to large models. The workshop considers problems, solutions,
and results from all across the real-world data pipeline. We solicit submissions on unexpected challenges and solutions in the collection of datasets, on new and novel datasets of interest to the community, on experiences and results—explicitly including negative
results—in using prior datasets to develop new insights, and on discussions of impact and new found opportunities with large AI models.<o:p></o:p></p>
<p class="MsoNormal">The workshop seeks contributions across two major thrusts, but is open to a broad view of interesting questions around the collection, dissemination, and use of data as well as interesting datasets:<o:p></o:p></p>
<ul style="margin-top:0in" type="disc">
<li class="MsoNormal" style="mso-list:l0 level1 lfo1">The collection, evaluation, analysis, and use of data<o:p></o:p></li><ul style="margin-top:0in" type="circle">
<li class="MsoNormal" style="mso-list:l0 level2 lfo1">Challenges and solutions in data collection, especially around security and privacy<o:p></o:p></li><li class="MsoNormal" style="mso-list:l0 level2 lfo1">Challenges and solutions in hardware/system design of data collection devices.<o:p></o:p></li><li class="MsoNormal" style="mso-list:l0 level2 lfo1">Expectations and norms for data collection from sensor networks, especially those that involve human factors<o:p></o:p></li><li class="MsoNormal" style="mso-list:l0 level2 lfo1">Novel insights from existing datasets<o:p></o:p></li><li class="MsoNormal" style="mso-list:l0 level2 lfo1">Metadata management for complex datasets<o:p></o:p></li><li class="MsoNormal" style="mso-list:l0 level2 lfo1">Synthetic data, including its generation, application, and utility<o:p></o:p></li><li class="MsoNormal" style="mso-list:l0 level2 lfo1">Success stories—key properties of useful datasets and how to generalize these<o:p></o:p></li><li class="MsoNormal" style="mso-list:l0 level2 lfo1">Preprocessing, cleaning, and fusing datasets<o:p></o:p></li><li class="MsoNormal" style="mso-list:l0 level2 lfo1">Preliminary analysis and visualization of the data<o:p></o:p></li><li class="MsoNormal" style="mso-list:l0 level2 lfo1">Shortcomings of prior datasets—and how to address these in the future<o:p></o:p></li><li class="MsoNormal" style="mso-list:l0 level2 lfo1">Position papers on policies and norms from experimental design through data management and use are explicitly welcomed.<o:p></o:p></li><li class="MsoNormal" style="mso-list:l0 level2 lfo1">Role of cyber-physical or similar data and metadata for informing training and inference of large AI models and applications, such as large language models (LLMs) <o:p></o:p></li><li class="MsoNormal" style="mso-list:l0 level2 lfo1">Insights on generative AI to synthesize data<o:p></o:p></li><li class="MsoNormal" style="mso-list:l0 level2 lfo1">Usage of multi-modal data within single AI model<o:p></o:p></li><li class="MsoNormal" style="mso-list:l0 level2 lfo1">Pitfalls on AI models with cyber-physical or similar data and metadata<o:p></o:p></li><li class="MsoNormal" style="mso-list:l0 level2 lfo1">Potential applications of large AI models within cyber-physical space<o:p></o:p></li><li class="MsoNormal" style="mso-list:l0 level2 lfo1">Challenges and solutions in privacy protection with large AI models<o:p></o:p></li></ul>
<li class="MsoNormal" style="mso-list:l0 level1 lfo1">New and interesting datasets, including but not limited to:<o:p></o:p></li><ul style="margin-top:0in" type="circle">
<li class="MsoNormal" style="mso-list:l0 level2 lfo1">Shopping related sensing data<o:p></o:p></li><li class="MsoNormal" style="mso-list:l0 level2 lfo1">Animal related data or sensed data<o:p></o:p></li><li class="MsoNormal" style="mso-list:l0 level2 lfo1">Anonymized health, or synthetic health related data<o:p></o:p></li><li class="MsoNormal" style="mso-list:l0 level2 lfo1">Indoor localization, especially unprocessed/unfiltered physical layer measurements<o:p></o:p></li><li class="MsoNormal" style="mso-list:l0 level2 lfo1">Smart building, occupancy, motion data, energy, human comfort, vibration, BIM<o:p></o:p></li><li class="MsoNormal" style="mso-list:l0 level2 lfo1">Vehicular, GPS, cellular, or wifi traces and remote sensing<o:p></o:p></li><li class="MsoNormal" style="mso-list:l0 level2 lfo1">Reproductions of prior work that validate, refute, or enhance results<o:p></o:p></li><li class="MsoNormal" style="mso-list:l0 level2 lfo1">Anonymized contact tracing, interaction and exposure notification data<o:p></o:p></li></ul>
</ul>
<p class="MsoNormal">To enable the longevity and continued utility of submitted datasets, all datasets must be uploaded to a permanent data repository such as a Zenodo or CRAWDAD as part of the camera-ready preparation. Submissions may refer to datasets hosted
on personal or temporary hosting but this hosting must be made permanent by time of publication.<o:p></o:p></p>
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal">Submission Deadline: <b>September 15, 2024, AoE</b><o:p></o:p></p>
<p class="MsoNormal">==========================================<o:p></o:p></p>
<p class="MsoNormal"><o:p> </o:p></p>
<p style="margin:0in;text-align:justify;text-justify:inter-ideograph;background:white">
<span style="color:#222222">Regards,</span><o:p></o:p></p>
<p style="margin:0in"><span style="color:black">Gabe Fierro, Shiwei Fang</span><o:p></o:p></p>
<p style="margin:0in"><span style="color:black">DATA 2024 General Chairs</span><o:p></o:p></p>
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal"><o:p> </o:p></p>
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