HIAS Bridges NEXT (AP)

Jonathan Krautter 　　　　ヨナタン クラウター

専攻:Japanese and German Economic and Business History

●最近興味のあるトピックをお知らせください。

The demise and resurgence of capital controls from 1945 until today.

●研究をしていて楽しいと思うことはどんなことですか？

Discovering new insights in archival sources.

● ご自身にとって「研究」とは？（一言で表すと。）

Producing knowledge that helps us to navigate and interpret the social and natural world(s) we live in.

●研究者になったきっかけを教えてください。

I did not have a particular inspiration. Rather, I wanted to continue doing archival research and immerse myself in worlds of the past.

●これからどんな研究者になりたいと思いますか？

My long-term goal is to contribute to theory formation in industrial policy research by employing historical and qualitative approaches, and help bridge the gap between quantitative and qualitative research.

Thomas Monnier 　　　　　　　　トーマ モニエ

専攻:Urban and development economics

●最近興味のあるトピックをお知らせください。

Migration, informality, climate change, structural transformation

●研究をしていて楽しいと思うことはどんなことですか？

Interacting with many stakeholders while keeping independence and freedom

● ご自身にとって「研究」とは？（一言で表すと。）

Getting excited about new ideas, then keeping a cool head and persevere to bring projects to an end

●研究者になったきっかけを教えてください。

Meeting inspiring people, and a love for social sciences and humanities in general

●これからどんな研究者になりたいと思いますか？

Engage with policymakers and develop a truly trans-disciplinary research agenda to maximize impact

PEIRAN LI リーぺーゼン

専攻:AI/Data Science

●最近興味のあるトピックをお知らせください。

I’m now exploring how to use generative AI models—particularly diffusion and large language models—to simulate and understand large-scale human mobility across cities and regions. My broader interest lies in connecting data-driven modeling with real-world urban and social systems.

●研究をしていて楽しいと思うことはどんなことですか？

I enjoy discovering unexpected patterns hidden in complex data and transforming them into interpretable insights.

● ご自身にとって「研究」とは？（一言で表すと。）

To find things we cannot see by eyes but could be revealed by data.

●研究者になったきっかけを教えてください。

By how data and algorithms can reveal real-wrold behavior.

●これからどんな研究者になりたいと思いますか？

I hope to broaden my research scope—from domain-specific spatiotemporal data analysis to more general data science research. My goal is to develop versatile methodologies that can be applied across different types of data and contribute to solving diverse real-world problems.

David Uriel SOCOL DE LA OSA

専攻:Law

●最近興味のあるトピックをお知らせください。

Law & Technology; Corporate Law; International Economic Law; AI Governance; Geopolitics; Infrastructure

●研究をしていて楽しいと思うことはどんなことですか？

What I enjoy most about research is the ability to engage directly with the world’s most pressing questions – to ask what is happening, and how can I help. Research gives me the space to think systematically about the structural forces shaping society and to contribute ideas that may improve them. I value the combination of intellectual independence and practical relevance: the opportunity to step back, understand complexity, and then re-enter public debates with work that is rigorous, constructive, and oriented toward real-world impact.

● ご自身にとって「研究」とは？（一言で表すと。）

To me, research is the convergence point between expertise, societal need, and principled intention. It is a disciplined way of thinking about problems that matter, grounded in evidence but animated by a sense of responsibility to the broader public. Research is not simply producing knowledge; it is designing frameworks through which institutions, technologies, and societies can navigate uncertainty – ideally with fairness, foresight, and humility.

●研究者になったきっかけを教えてください。

I became a researcher because, across diplomacy, legal practice, and now academia, I find myself drawn to the underlying structures that shape law and how law creates societal structures – the systems of governance, incentives, and coordination that determine whether societies respond to challenges effectively. Research offered a way to engage those questions at their foundations. I wanted to understand how institutions succeed or fail, how technology reshapes governance, and how global systems can be made more equitable and resilient. Some of my key inspirations are the strength of true intellectual curiosity, combined with a desire to contribute meaningfully to public problem-solving.

●これからどんな研究者になりたいと思いますか？

My future goals revolve around building frameworks that help society govern transformative technologies responsibly, sustainably, and at a global scale. Substantively, I aim to deepen work on AI governance, critical mineral supply chains, and the geopolitical architecture of technological development. Institutionally, I hope to contribute to collaborative research communities across law, social science, and technical fields, that can translate scholarship into practical guidance for policymakers, industry, and international institutions. Ultimately, my goal is to shape research that not only advances academic understanding but also strengthens the capacity of societies to manage technological change with fairness, foresight, and institutional integrity.

Shaofeng Zheng

専攻:社会心理学, 文化心理学

●最近興味のあるトピックをお知らせください。

How gene and environmental factors (e.g., culture, childhood experience) independently and interactively shape individuals’ empathy and support-seeking

●研究をしていて楽しいと思うことはどんなことですか？

Writing interesting papers

● ご自身にとって「研究」とは？（一言で表すと。）

Solve problems with a systematic, scientific approach

●研究者になったきっかけを教えてください。

Understanding human nature

●これからどんな研究者になりたいと思いますか？

Create my own theory or research field and inspire others to join me

有竹 俊光 アリタケ トシミツ

専攻:統計的機械学習

●最近興味のあるトピックをお知らせください。

機械学習．特に転移学習やドメイン適応のような分布のズレに関する研究と，メタ最適化という最適化の学習に興味を持って研究しています．

●研究をしていて楽しいと思うことはどんなことですか？

対象の問題を理解し，その問題にあったモデルや分析方法を思いついた時に刺激を感じます．

● ご自身にとって「研究」とは？（一言で表すと。）

Noveltyの探求と自己研鑽

●研究者になったきっかけを教えてください。

恩師や研究室の先輩の研究に向き合う姿にあこがれたのが最初の動機でした．その後，会社づとめをしましたが，研究者になることに諦めがつかなかったため，改めて研究の道へと進むことにしました．

●これからどんな研究者になりたいと思いますか？

実応用に根ざした研究と数理的に面白い問題の両輪で研究を推進していきたいと思います．