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Group 2 Patrice Godonou, Magnus Hedlund, Jun Luo, Per Ribbing, Simon Thomas. Ethics of technology and science --Chapter 4: Handling of research materials. Seminar I: 10th of november 2016. Our group @ UU publishes some study based on data. Scenario.
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Group 2 Patrice Godonou, Magnus Hedlund, Jun Luo, Per Ribbing, Simon Thomas Ethics of technology and science--Chapter 4: Handling of research materials Seminar I: 10th of november 2016.
Our group @ UU publishes some study based on data Some master student from KTH asks for the data. Scenario
Our group @ UU publishes some study based on data Some master student from KTH asks for the data. Reason: Solar cells in distr. grid with realistic consumption patterns. The data is compared against solar irradiance based on location. Scenario
Our group @ UU publishes some study based on data Some master student from KTH asks for the data. Reason: Solar cells in distr. grid with realistic consumption patterns. The data is compared against solar irradiance based on location. Scenario It turns out the student was funded by Bosch
Our group @ UU publishes some study based on data Some master student from KTH asks for the data. Reason: Solar cells in distr. grid with realistic consumption patterns. The data is compared against solar irradiance based on location. Scenario It turns out the student was funded by Bosch Someone at Bosch now wants the data for targeted ads, promoting new, more efficient washing machines
Our decision: We are a public funded organization and are by law required to share data. Participant had been informed before the data was captured. We also guaranteed to follow the law and use the data only for scientific purposes. We share the data, but demanding the researching to follow the rules and relative standards.
1. Will there be any ethical problems or conflicts in the context, in the organisation or in the group where your decision will be applied or your solution will be used (e.g. your research findings)? No ethical conflicts in group or in our organization.2. Will your decision or solution cause any ethical problems or conflicts? Pro share:We will all benefit if the people buy energy efficient devices because of the ads brought by the company;we gain from the research of the university.Contra share:Person can be identified due to the data if published, if dataset is locally bound;interested party can try to identify the person and for example send targeted ads.
3. Are there any alternatives to your solution? Use code keys to anonymize (more workload, and data is less precise), Can we refuse to share if we are not paid for the anonymization?4. What groups, individuals, organisations, etc, will in any way be affected by or have a stake in the development, use, application or mere existence of your decision and solution? (Including society at large and the environment.) Other research groups in the same area. Electrical companies relaying on our research to improve services and so society. And the participants of our study (if not completely anonymized).
5. What values, interests, duties, standpoints and attitudes are involved in the use of your solution and of the possible alternatives?Environment, Society, People using smart meters6. What effects will your solution (and the alternatives) have on each of these values? What are the strengths/possibilities and the weaknesses/risks of each solution to each value? Will these solutions fit certain values and conflict with others? What values and how? Positive:Good for society and environment if the research leads to more efficient services. Individuals will (probably) spend less money in energy.Negative:People can be afraid to use smart meter, if there data is shared (and makes it easy to identify them).
7. What will you do to make sure that the use of the solution will be optimal with regards to ethical aspects? For instance, adapt the design of the product, use of research methods, cooperation with industry, information to stakeholders, etc? How exactly are you going to succeed with this? We are a public funded organization and are by law required to share data. Participant had been informed before the data was captured. Perhaps even better: Give them the possibility to opt-out even after the data is captured. Risk of too less participants.Guarantee to follow the law and relative standards and use the data only for scientific purposes.Demanding other researching to follow the rules and standards before handing out the data.Store the data in a safe place (encrypted).