My research is a case study because there is no specific topic for the tweets I target. In particular, I am actively researching applications to health and medicine. For example, influenza, hay fever, and coronaries are also targets. In the case of location-based social media, location information can be added to the analysis so that it can be tied to actual location. In other words, you can see in which areas the flu is prevalent. We can also analyze what kind of emotions people are having in that area. This kind of research is similar to social application, where the results are used to solve real social problems. Recently, the negative aspects of social media, such as fake news and defamation, have been discussed, and research on these issues is also being conducted, mainly by students.

When I think about it, I think I became a researcher by going with the flow and following the lead of my advisor. While others around me were working for companies, I thought it would be interesting to take a different path instead of doing the same. One of my classmates in the master's program was an exchange student from China. She came to Japan to do research and planned to go on to a Ph.D. program after completing her master's degree. While most Japanese people go on to find jobs, I realized that such a career was possible.
So far, not only my academic advisor but also researchers in Japan and abroad whom I met at academic conferences have helped me to embark on my research career. The supportive environment, including connections with researchers who are active in the world and relationships that have continued since I was a student, motivates me to do research.

I usually arrive at the university around 11:00 in the morning and go home around 20:00-21:00. There are no core classes, and regular lab meetings are held twice a week in the afternoon.
In the Aramaki Lab, all faculty members are responsible for supervising students. Students participate in one or more of three groups (international, data, and medical) depending on their research interests and languages. Faculty members participate in all three groups. My main group is the data group. In other labs, students are often supervised by faculty members who share the same specialty as the student, but in this lab, there is a wide variety of student topics and faculty specialties, so there is often no clear "who will look after you". Students can ask any faculty member if they have a question.

We are always available to students, not only in person, but also via slack chat at any time. We also have individual meetings when needed. Since we do a lot of collaborative research in our lab, we have students actively involved as research assistants, and we also have occasional meetings with outside parties. The lab as a whole supervises students, and we have a system in place that allows other faculty members to supervise students when I am not available, so I think we have a relatively good balance in our research.
I sometimes work after I go home at night. Before deadlines, I work late into the night and sometimes on weekends. I spend most weekends at home. I have a cat, so I stay home and relax with him. Since I can work as long as I have a computer, I tend to check my email even on my days off, but lately I have been trying to do a digital detox.

I can do my research freely and I think the environment is very good. As a graduate university, we have many students with different backgrounds, and I learn a lot from them.
I think it is good to have more female faculty members on campus, and I would like to see that number increase. The reason why I think it is good to increase the number of female faculty members is because, for example, when there is a meeting that female faculty members are required to attend, if the absolute number of women is small, the work will be biased toward a few people. In order to increase the number of female faculty members, we need to increase the number of female students. How to increase the number of female students is a difficult question, but I hope that my background and other information will help you as you consider your career path.

In conducting my research, I have not felt much of an impact from my gender. The lab itself has many female staff, although the majority of them are not computer scientists. In addition, there are many female researchers in our medical and psychological collaborations, so I do not feel less able to advance my research. Even in joint research with American universities, the principal investigators on the Japanese side are male, but on the American side they are sometimes female. I am fortunate to have many opportunities to work with teams where women are active, so in that sense I do not feel that there are few women in the research environment.