20世紀ドイツのユダヤ人思想家ヴァルター・ベンヤミンの思想を分析しています。とりわけ、教育思想家グスタフ・ヴィネケン、社会学者ゲオルク・ジンメル、婦人解放運動の指導者マリアンネ・ヴェーバーらの思想と比較することを旨としています。目下、ベンヤミンの師匠であったリッケルト、ジンメル、そして好敵手であったハイデッガーの弁証法論理学、歴史哲学とどの様に異なる思想をベンヤミンが展開していたのかに興味を持っています。
採択者紹介Selected person Introduction
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198人の学生が見つかりました
文学研究科 松本 蒼来
多様な性の当事者の談話分析－「性に平等なドイツ語運動」への貢献のために
My research delves into the nexus of German language use and gender issues, with a special emphasis on the linguistic practices among diverse gender identities. In a time where diversity and inclusion are paramount, the usage of language are scrutinized closely. My work aims to visualize and bring to the forefront the often marginalized and overlooked language issues of minorities during. This effort not only aims to anchor such discussions in modern discourse but also to prevent these critical issues from being historically overlooked. Looking ahead, I aspire to perpetuate the documentation of minority language issues throughout my academic career.
文学研究科 高萩 智也
文学研究科 中山 拓人
文学研究科 岩浪 雛子
文学研究科 孫 語崎
政策・メディア研究科 プーデル ナミータ
都市部の中心部と周辺部のつながりを分析し、集合的な災害回復力を確立する視点：ネパール、カトマンズの事例
My research explores innovative solutions in the food and water system, linking urban and rural areas from a disaster resilience perspective. Delving into disaster resilience through a robust food and water system, my findings aim to contribute significantly to all developing countries and cities. Looking ahead, my career prospects center around the food and water sector, driven by a passion for enhancing sustainability and disaster preparedness. With a solid foundation in research, analytical skills, and a commitment to resilience, I am poised to make meaningful contributions to the advancement of disaster-resilient food and water systems.
政策・メディア研究科 岩井 恵利奈
政策・メディア研究科 川島 寛乃
実空間における不規則かつ不完全なデータ増加に対応可能な継続学習
To effectively apply AI technology in the real world, AI models must continuously learn and grow by integrating new information while leveraging past knowledge. My research is Continual Learning and it aims to enable AI models to learn continuously in such environments. Specifically, I focus on the “Replay method”, akin to human note-taking, where a portion of learned data is retained for future learning. I investigate how much data should be retained for effective ongoing learning. Ultimately, I aim to apply this technology for societal benefit, contributing to the overall digitalization of society, including small-scale organizations and communities.
