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Sasahara Lab

Research Internship Program
Computational Social Science at Tokyo Insititute of Technology
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Sasahara Lab Research Intership Program

Sasahara Lab’s Research Intership program is a 12 weeks intense program with mix of hands on expereince to computational social science methods and conducting real world research collaborating with diverse research scientists.

Core Team

Professor Kazutoshi Sasahara - Principle Investigator Sasahara Lab, Tokyo Tech, Japan

Professor Yasuhiro Hashimoto, University of Aizu, Japan

Professor Tasuku Igarashi, Nagoya University, Japan

Dr. Dilrukshi Gamage - Program lead, Postdoc at Sasahara Lab, Tokyo Tech, Japan

Collaborators

Dr. Mark Whiting - Postdoc, University of Pennsylvania, USA

Selected Research Interns

Shree Hari Boyalla, Eurecom, France
Naman Ahuja, International Institute of Information Technology (IIIT), Hyderabad, India
Neha Motlani, International Institute of Information Technology(IIIT), Hyderabad, India
Rashmika madushan, Sri Lanka Institute of Information Technology (SLIIT), Sri Lanka
Aisha Elbadrawy, Nile University, Egypt
Sourav Karmakar,National Institute of Technology (NIT), Durgapur, India
Haseeb Ahmed, Lahore University of Management Sciences (LUMS), Pakistan
Piraveen Sivakumar, University of Moratuwa, Sri Lanka
Akanksha Singh, Indira Gandhi Delhi Technical University for Women, India
Saad Imran Rana, Lahore University of Management Sciences (LUMS), Pakistan
Soyabul Islam, Khulna University of Engineering & Technology, Bangladesh
Mukund Choudhary, International Institute of Information Technology (IIIT), Hyderabad, India
Amogh Desai, Dwarkadas J. Sanghvi College of Engineering, India
Dinithi Sandarekha, University of Moratuwa, Sri Lanka
Nuwan Abeynayake, University of Moratuwa, Sri Lanka
Aman Bahuguna, Chandigarh University, India
Homayoon Khadivi, Freelanace, Iran
Pallavi Thukral, G.B. Pant University of Agriculture & Technology, India

Internship Timeline

Start - September 14th to December 7th, 2021

Program

Tentatative Program Link

Outcome

Certificate by the Lab
Recommendation letter
Full paper submission to a key Social Computing conference - such as

Frequently asked questions

When can I get my certificate and recommendation letter? You will get it a week after we conduct the final session - probably 14th December 2021

Is it must take part in every meeting? Although it is not a must for invited talks, we expect your presence at the team presentations and individual discussion dates

How do you monitor progress? Although you will be working as a team of 4-5 members, your work will be individually and collectively assessed - we will use a survey where your team members provide feedback on your work. At the same time, we will have individual interviews/ meetings during the team meetings towards the end of the program.

What if my team member quit or do not respond in the middle? We expect any individual to continue until the end of the program as we made a clear timeline and expectations. However, if there are unprecedented circumstances, we will consider case by case and provide the necessary support to the remaining team members.

What if my teams’ paper does not get accepted to a conference? It is totally OK to get the paper rejected, we will optimize based on the feedback of the reviewer and decide the next venue or resubmit to same.

Can I change my team? We invest a considerable amount of time to decide which team members should work together based on the skills and distribution, therefore we will avoid any individual preferences. We expect you to understand that our decision is final.

What should be my time commitment? Since this will be a collaborative group, your commitment may vary based on your ability to finish certain tasks - read a paper, summarize, write a script to obtain data from a source, clean the data and conduct an analysis etc. Roughly this should not be more than ~1 to 2 hrs per day. However, please note that it all depend on the project/ research questions you will formulate in the group. We will help to scope the project where you will be able to achieve within the timeline.


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