David Jaggi

Work at ZHAW

Position

Associate Researcher

Focus

Asset Management, Risk Management, Machine Learning, Data Science, R, Python, SQL

Education and Continuing education

Continuing Education

Natural Language Processing Fundamentals (Certificate)
ZHAW Life Sciences and Facility Management
11 / 2021

Network

Membership of networks

• Digital Futures Lab
• LinkedIn

ORCID digital identifier

ORCID ID: 0000-0002-0634-9516

Awards

DIZH Fellowship
DIZH
02 / 2024

Projects

• Investor and Stakeholder Tools for Tracking Companies’ Climate Commitments, Greenwashing and ESG Trends / Deputy project leader / abgeschlossen
• Prognostic Scoring of Innovations in Green-Tech patent clusters using Natural Language Processing / Team member / abgeschlossen
• Strengthening Swiss Financial SMEs through Applicable Reinforcement Learning / Team member / abgeschlossen

Publications

• Hadji Misheva, Branka; Jaggi, David; Posth, Jan-Alexander; Gramespacher, Thomas; Osterrieder, Joerg,

  2021.

  Audience-dependent explanations for AI-based risk management tools : a survey.

  Frontiers in Artificial Intelligence.

  4(794996).

  Available from: https://doi.org/10.3389/frai.2021.794996

• Jaggi, David; Posth, Jan-Alexander; Guderian, Carsten C.,

  2024.

  A novel approach to thematic portfolio construction : patent-based investment decision making [poster].

  In:

  33rd European Conference on Operational Research (EURO), Copenhagen, Denmark, 30 June - 3 July 2024.

• Jaggi, David; Posth, Jan-Alexander; Guderian, Carsten C.,

  2024.

  Thematic investing : grouping companies along their technology profiles [poster].

  In:

  R&D Management Conference, Stockholm, Sweden, 17-19 June 2024.

• Jaggi, David; Posth, Jan-Alexander; Guderian, Carsten C.,

  2024.

  Patent-based company-level analytics for thematic investing : clustering companies along their technology profiles [paper].

  In:

  31st Innovation & Product Development Management Conference (IPDM), Dublin, Ireland, 5-7 June 2024.

• Jaggi, David,

  2022.

  Big data for assessing corporate green innovation.

  In:

  SSF/ZHAW Novel Data Solutions: Big Data and AI for Sustainable Investing - from Biodiversity Risks to Sustainable Gold, Zurich, Switzerland, 2 November 2022.

• Posth, Jan-Alexander; Auth, Christoph; De Meer Pardo, Fernando; Dascalu, Florin; Jaggi, David; Grob, Linus,

  2022.

  Reinforcement learning in finance.

  In:

  ZKB Event, Zürich, Schweiz, 7.April 2022.

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