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Three hours after nightfall on Sept. 15, 1942, the U.S.S. Wasp, a United States Navy aircraft carrier, slipped beneath the waves 350 miles southeast of Guadalcanal. Hit by two or possibly three torpedoes from a Japanese submarine, the crippled ship was abandoned, then torpedoed by an American destroyer to send it to the bottom, approximately 14,000 feet below. In the early morning hours of Jan. 14, 2019, researchers laid eyes on the Wasp for the first time in 76 years.

To learn more about their quest to bring technology to the ocean and fill in the deep ocean map, join us on Facebook and YouTube to learn more about Saildrones and how they are creating a more complete map of the ocean. The Free Waves Complete Download program is designed to revolutionize the way we understand our oceans and how they are changing. The program includes the Waves Complete 14 drone and passive mobile sensing application, both of which have already launched. Future updates to the program include three new Saildrones, an auto-piloting drone, a wave buoy, and a new way for you to map the ocean.

Results: Of 44 consenting participants, 40 completed all protocols (40/44, 90% retention rate). Compliance was defined a priori as completing 70%-75% of each protocol task. There were high compliance rates for passive mobile sensing for both Android (34/40, 85%) and iOS (39/40, 97%), but poor compliance with active mobile sensing (14/40, 35%). Average daily phone use was 4.7 (SD 1.4) minutes for Android users and 2.8 (SD 1.1) minutes for iOS users. There was moderate agreement between objective and caregiver self-reported phone use; root mean square errors were -109.0 and -58.4 for Android and iOS users, respectively. Among families who completed the first assessment, 39 re-enrolled to complete the protocol a second time, approximately 12 months later (39/40, 98% retention rate).

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The parent interviews were the first phase of the study, and the photos and maps were the second. We then asked 14 of the parent caregivers to also complete an evaluation that included the Infant-Toddler Social and Emotional Assessment (ITSEA) and Child Behavior Checklist (CBCL). These parents had their kids, aged 3-6, complete the Satisfaction with Life Scale (SWLS). They were also asked about their mobile phone and Internet use habits.

Researchers routinely use social media platforms to conduct data collection. For example, researchers can recruit participants on the basis of Facebook Likes by prompting them to post a photo of themselves holding a survey on the platform, and then analyzing those posts to estimate the size of a participant’s foot, compare it to a sample of adults, or conduct a survey about their health. Researchers can then send the same Facebook post to their study participants to gather data from people who are likely to know the participant. And as a result of these new methods, a recent change in Facebook’s terms of service allowed researchers to contact study participants on their behalf without their consent. Now, social media platforms are only one of many methods for collecting data. The methodologies explored in this paper and the performance metrics we report here can be applied to other modalities to assess data integrity, like text messaging, mobile phone data transfer, online surveys, and surveys completed over the phone. Platforms like Google and Apple keep changing their privacy policies, making it difficult for researchers to ensure data integrity, and these examples are only the tip of the iceberg.

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