Blar i forfatter "Sharma, Aakash"

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    • Accountable Human Subject Research Data Processing using Lohpi 

      Sharma, Aakash; Bye Nilsen, Thomas; Brenna, Lars; Johansen, Dag; Johansen, Håvard D. (Conference object; Konferansebidrag, 2021-06)
      In human subject research, various data about the studied individuals are collected. Through re-identification and statistical inferences, this data can be exploited for interests other than the ones the subjects initially consented to. Such exploitation must be avoided to maintain trust with the researched population. We argue that keeping data-access policies up-to-date and building accountability ...

    • Capturing Nutrition Data for Sports: Challenges and Ethical Issues 

      Sharma, Aakash; Czerwinska, Katja P; Johansen, Dag; Dagenborg, Håvard (Conference object; Konferansebidrag, 2023-01)
      Nutritionplaysakeyroleinanathlete’s performance, health, and mental well-being. Capturing nutrition data is crucial for analyzing those relations and performing necessary interventions. Using traditional methods to capture long-term nutritional data requires intensive labor, and is prone to errors and biases. Artificial Intelligence (AI) methods can be used to remedy such problems by using Image-Based ...

    • Capturing Nutrition Data for Sports: Challenges and Ethical Issues 

      Sharma, Aakash; Czerwinska, Katja P; Johansen, Dag; Dagenborg, Håvard Johansen (Chapter; Bokkapittel, 2023)
      Nutrition plays a key role in an athlete’s performance, health, and mental well-being. Capturing nutrition data is crucial for analyzing those relations and performing necessary interventions. Using traditional methods to capture long-term nutritional data requires intensive labor, and is prone to errors and biases. Artificial Intelligence (AI) methods can be used to remedy such problems by using ...

    • Compliant Sharing of Sensitive Data with Dataverse and Lohpi 

      Sharma, Aakash; Nilsen, Thomas Bye; Johansen, Håvard D. (Conference object; Konferansebidrag, 2021-06)

    • Designing a Service for Compliant Sharing of Sensitive Research Data 

      Sharma, Aakash; Bye Nilsen, Thomas; Johansen, Sivert; Johansen, Dag; Johansen, Håvard D. (Journal article; Tidsskriftartikkel; Peer reviewed, 2022-04-09)
      Data-driven research is increasingly becoming fueled by access to open datasets, often shared publicly on the Internet. However, many research projects study sensitive data. They cannot easily participate in this shift as access to their data is significantly controlled by ethical and regulatory constraints. This paper discusses the requirements for building a service that enables sensitive data for ...

    • Information and communication technology-based interventions for chronic diseases consultation: Scoping review 

      Randine, Pietro; Sharma, Aakash; Hartvigsen, Gunnar; Johansen, Håvard D.; Årsand, Eirik (Journal article; Tidsskriftartikkel; Peer reviewed, 2022-04-29)
      Background: Medical consultations are often critical meetings between patients and health personnel to provide treatment, health-management advice, and exchange of information, especially for people living with chronic diseases. The adoption of patient-operated Information and Communication Technologies (ICTs) allows the patients to actively participate in their consultation and treatment. The ...

    • Intelligent Offloading Distribution of High Definition Street Maps for Highly Automated Vehicles 

      Jomrich, Florian; Sharma, Aakash; Ruckelt, Tobias; Bohnstedt, Doreen; Steinmetz, Ralf (Journal article; Tidsskriftartikkel; Peer reviewed, 2018-11-24)
      Highly automated vehicles will change our personal mobility in the future. To ensure the safety and the comfort of their passengers, the cars have to rely on as many information regarding their current surrounding traffic situation, as they can obtain. In addition to classical sensors like cameras or radar sensors, automated vehicles use data from a so called High Definition Street Map. Through such ...

    • Privacy Perceptions and Concerns in Image-Based Dietary Assessment Systems: Questionnaire-Based Study 

      Sharma, Aakash; Czerwinska, Katja P; Brenna, Lars; Johansen, Dag; Johansen, Håvard D. (Journal article; Tidsskriftartikkel; Peer reviewed, 2020-10-15)
      Background: Complying with individual privacy perceptions is essential when processing personal information for research. Our specific research area is performance development of elite athletes, wherein nutritional aspects are important. Before adopting new automated tools that capture such data, it is crucial to understand and address the privacy concerns of the research subjects that are to be ...

    • Up-to-the-minute Data Policy Updates for Participatory Studies 

      Sharma, Aakash (Conference object; Konferansebidrag, 2021-06-14)

    • Up-to-the-Minute Privacy Policies via Gossips in Participatory Epidemiological Studies 

      Sharma, Aakash; Nilsen, Thomas Bye; Czerwinska, Katja P; Onitiu, Daria; Brenna, Lars; Johansen, Dag; Johansen, Håvard D. (Journal article; Tidsskriftartikkel; Peer reviewed, 2021-05-13)
      Researchers and researched populations are actively involved in participatory epidemiology. Such studies collect many details about an individual. Recent developments in statistical inferences can lead to sensitive information leaks from seemingly insensitive data about individuals. Typical safeguarding mechanisms are vetted by ethics committees; however, the attack models are constantly evolving. ...