Suchergebnis: Katalogdaten im Herbstsemester 2021

Doktorat Departement Geistes-, Sozial- und Staatswissenschaften Information
Mehr Informationen unter: Link
Lehrangebot Doktorat und Postdoktorat
NummerTitelTypECTSUmfangDozierende
» Auswahl aus sämtlichen Lehrveranstaltungen der ETH Zürich
851-0587-01LCIS PhD Colloquium
Der Kurs muss direkt an der UZH als incoming student belegt werden.
UZH Modulkürzel: 615G932C

Beachten Sie die Einschreibungstermine an der UZH:
Link
W2 KP2KUni-Dozierende
KurzbeschreibungIn this internal colloquium doctoral students present their work after about 12 months of research.
LernzielThe aim of this colloquium is that the presenters receive feedback on their research at an important stage (a stage at which significant changes of direction, methodology, etc, may still be undertaken) in the PhD process.
InhaltPresentation of doctoral research.
SkriptDistributed electronically.
LiteraturDistributed electronically.
Voraussetzungen / BesonderesDates: See Link
851-0626-02LPhD Colloquium in Development Economics Belegung eingeschränkt - Details anzeigen W1 KP1KI. Günther, K. Harttgen
KurzbeschreibungPhD students working in empirical development economics will present their ongoing work, with a particular focus on the methods (to be) used and challenges faced. Participants are expected to read the drafts/papers/presentations beforehand and give constructive feedback to the PhD student presenting.
LernzielPhD students learn how to present and discuss their own research questions, methods, results and problems. PhD students get familiar with the challenges of empirical economics research in low income countries.
Voraussetzungen / BesonderesThis is a two days course.
851-0735-10LWirtschaftsrecht Belegung eingeschränkt - Details anzeigen
Maximale Teilnehmerzahl: 100

Besonders geeignet für Studierende D-ITET, D-MAVT
W2 KP2VP. Peyrot
KurzbeschreibungDie Vorlesung führt die Studierenden in praxisnaher Weise in die rechtlichen Aspekte der Gründung und Führung eines Unternehmens ein.
LernzielDie Studierenden verfügen über grundlegende Kenntnisse des Wirtschaftsrechts. Sie sind in der Lage, selbständig wirtschaftsrechtliche Problemstellungen zu erkennen und interessengerecht zu lösen.
Sie verfügen über folgende Kompetenzen:
- Sie verfügen über das Grundlagenwissen zur Gründung und Führung eines Unternehmens.
- Sie sind vertraut mit den Themen contracting, negotiation, claims management und dispute resolution
- Sie kennen die Bedeutung eines Systems zur Einhaltung der rechtlichen Rahmenordnung einzurichten (compliance).
- Sie können zum legal management des Unternehmens beitragen und rechtliche Fragestellungen mit Juristen besprechen.
- Sie verstehen das Recht als Teil der Unternehmensstrategie und als wertvolle Ressource für die Unternehmung.
SkriptEin umfassendes Skript wird auf der Plattform Moodle online zur Verfügung gestellt.
851-0735-09LWorkshop & Lecture Series on the Law & Economics of Innovation Information W2 KP2SS. Bechtold, H. Gersbach
KurzbeschreibungThis series is a joint project by ETH Zurich and the Universities of St. Gallen and Zurich. It provides an overview of interdisciplinary research on intellectual property, innovation, antitrust, privacy & technology policy. Scholars from law, economics, management and related fields present their current research. All speakers are internationally well-known experts from Europe, the U.S. & beyond.
LernzielAfter the workshop and lecture series, participants should be acquainted with interdisciplinary approaches towards intellectual property, innovation, antitrust, privacy and technology policy research. They should also have an overview of current topics of international research in these areas.
InhaltThe workshop and lecture series will present a mix of speakers who represent the wide range of current social science research methods applied to intellectual property, innovation, antitrust, privacy and technology policy issues. In particular, theoretical models, empirical and experimental research as well as legal research methods will be represented.
SkriptPapers discussed in the workshop and lecture series are posted in advance on the course web page.
LiteraturWilliam Landes / Richard Posner, The Economic Structure of Intellectual Property Law, 2003
Suzanne Scotchmer, Innovation and Incentives, 2004
Peter Menell / Suzanne Scotchmer: Intellectual Property Law, in: Polinsky / Shavell (eds.), Handbook of Law and Economics, Volume 2, Amsterdam 2007, pp. 1471-1570
Bronwyn Hall / Nathan Rosenberg (eds.), Handbook of the Economics of Innovation, 2 volumes, Amsterdam 2010
Bronwyn Hall / Dietmar Harhoff, Recent Research on the Economics of Patents, 2011
Paul Belleflamme / Martin Peitz, Industrial Organization: Markets and Strategies, Cambridge, 2nd edition 2015
Robert Merges, Economics of Intellectual Property Law, in Parisi (ed.), Oxford Handbook of Law & Economics, Volume 2, 2017
KompetenzenKompetenzen
Fachspezifische KompetenzenKonzepte und Theoriengeprüft
Methodenspezifische KompetenzenAnalytische Kompetenzengeprüft
Problemlösunggeprüft
Soziale KompetenzenKommunikationgeprüft
Persönliche KompetenzenKreatives Denkengeprüft
Kritisches Denkengeprüft
851-0738-00LGeistiges Eigentum: Eine Einführung
Besonders geeignet für Studierende D-CHAB, D-INFK, D-ITET, D-MAVT, D- MATL, D-MTEC
W+2 KP2VM. Schweizer
KurzbeschreibungDie Vorlesung bietet eine Einführung in das schweizerische und europäische Immaterialgüterrecht (Marken-, Urheber-, Patent- und Designrecht). Auch werden die Aspekte des Wettbewerbsrechts behandelt, die für den Schutz geistiger Schöpfungen und unternehmens- oder produktbezogener Zeichen relevant sind. Die rechtlichen Grundlagen werden anhand aktueller Fälle erarbeitet.
LernzielZiel der Vorlesung ist es, ETH-Studierende in die Lage zu versetzen, zu erkennen, welche Schutzrechte die von ihnen geschaffenen Leistungen möglicherweise schützen oder verletzen können. Dadurch lernen die Studierenden, die immaterialgüterrechtlichen Chancen und Risiken bei der Entwicklung und Vermarktung von Produkten abzuschätzen. Dazu müssen sie die Schutzvoraussetzungen und den Schutzumfang der verschiedenen immaterialgüterrechtlichen Schutzrechte ebenso kennen wie die Probleme, die typischerweise bei der Durchsetzung von Schutzrechten auftreten. Diese Kenntnisse sollen praxisnah aufgrund von aktuellen Urteilen und Fällen vermittelt werden.

Ein weiteres Ziel ist es, den Studierenden zu ermöglichen, informiert an der aktuellen Diskussion über die Ziele und Wünschbarkeit des Schutzes geistiger Leistungen teilzunehmen, wie sie insbesondere auf den Gebieten des Urheberrechts (Stichworte fair use, Creative Commons, Copyleft) und Patentrechts (Software-Patente, patent trolls, patent thickets), geführt wird.
851-0738-01LDie Rolle des Geistigen Eigentums im Ingenieurwesen und den technischen Wissenschaften
Besonders geeignet für Studierende D-BAUG, D-BIOL, D-BSSE, D-CHAB, D-ITET, D-MAVT
W2 KP2VK. Houshang Pour Islam
KurzbeschreibungPatente und andere Formen des Geistigen Eigentums haben in den letzten Jahrzehnten einen starken Bedeutungszuwachs im Alltag von Ingenieuren und Wissenschaftern erfahren. Ziel der Vorlesung ist es, einen Überblick über grundlegende Aspekte des Geistigen Eigentums zu vermitteln und die Vorlesungsteilnehmer in die Lage zu versetzen, das Wissen später im Berufsalltag einzusetzen.
LernzielDas Wissen über Geistiges Eigentum ist für Ingenieure und Wissenschafter in den letzten Jahrzehnten zunehmend wichtiger geworden und bildet mittlerweile eine Schlüsselqualifikation. Sowohl in Produktion und Vertrieb als auch in Forschung und Entwicklung sind sie dabei insbesondere mit Fragen zum Schutz von technischen Erfindungen und mit der Nutzung von Patentinformationen konfrontiert.

Im Rahmen der Vorlesung werden die Vorlesungsteilnehmer mit den praxisrelevanten Aspekten des Geistigen Eigentums vertraut gemacht und in die Lage versetzt, das erworbene Wissen später im Berufsalltag einzusetzen.

Unter anderem werden in der Vorlesung die folgenden Themen behandelt:
- Die Bedeutung von Innovationen in industrialisierten Ländern
- Überblick über die Formen des Geistigen Eigentums
- Der Schutz von technischen Erfindungen und die Absicherung der kommerziellen Umsetzung
- Patente als Quelle für technische und andere wichtige Informationen
- Praktische Aspekte des Geistigen Eigentum im Forschungsalltag, bei der Arbeit im Unternehmen und bei der Gründung von Startups.

Das in der Vorlesung vermittelte Wissen wird anhand von Beispielen aus verschiedenen technischen Bereichen veranschaulicht und vertieft.

Die Vorlesung umfasst praktische Übungen zur Nutzung und Recherche von Patentinformationen. Es wird dabei das Grundwissen vermittelt, wie Patentdokumente gelesen und ausgewertet werden und öffentlich zugängliche Patentdatenbanken genutzt werden können, um die benötigten Patentinformationen zu beschaffen und im Alltag einzusetzen.
Voraussetzungen / BesonderesDie Vorlesung ist für Studierende ingenieurwissenschaftlicher, naturwissenschaftlicher und anderer technischer Studienfächer geeignet.
851-0252-04LBehavioral Studies Colloquium Information Z0 KP2KE. Stern, U. Brandes, D. Helbing, C. Hölscher, M. Kapur, C. Stadtfeld
KurzbeschreibungThis colloquium offers an opportunity to discuss recent and ongoing research and scientific ideas in the behavioral sciences, both at the micro- and macro-levels of cognitive, behavioral and social science.
The colloquium features invited presentations from internal and external researchers as well as presentations of doctoral students close to submitting their dissertation research plan.
LernzielParticipants are informed about recent and ongoing research in different branches of the behavioral sciences. Presenting doctoral students obtain feedback on their dissertation research plan.
InhaltThis colloquium offers an opportunity to discuss recent and ongoing research and scientific ideas in the behavioral sciences, both at the micro- and macro-levels of cognitive, behavioral and social science. It covers a broad range of areas, including theoretical as well as empirical research in social psychology, research on higher education, sociology, modeling and simulation in sociology, decision theory and behavioral game theory, economics, research on learning and instruction, cognitive psychology and cognitive science.

The colloquium features invited presentations from internal and external researchers as well as presentations of doctoral students close to submitting their dissertation research plan.
Voraussetzungen / BesonderesDoctoral students in D-GESS can obtain 2 credit points for presenting their dissertation research plan.
851-0252-01LHuman-Computer Interaction: Cognition and Usability Belegung eingeschränkt - Details anzeigen
Number of participants limited to 35.

Particularly suitable for students of D-ARCH, D-INFK, D-ITET
W3 KP2SH. Zhao, S. Credé, C. Hölscher
KurzbeschreibungThis seminar introduces theory and methods in human-computer interaction and usability. Cognitive Science provides a theoretical framework for designing user interfaces as well as a range of methods for assessing usability (user testing, cognitive walkthrough, GOMS). The seminar will provide an opportunity to experience some of the methods in applied group projects.
LernzielThis seminar will introduce key topics, theories and methodology in human-computer interaction (HCI) and usability. Presentations will cover basics of human-computer interaction and selected topics like mobile interaction, adaptive systems, human error and attention. A focus of the seminar will be on getting to know evaluation techniques in HCI. Students form work groups that first familiarize themselves with a select usability evaluation method (e.g. user testing, GOMS, task analysis, heuristic evaluation, questionnaires or Cognitive Walkthrough). They will then apply the methods to a human-computer interaction setting (e.g. an existing software or hardware interface) and present the method as well as their procedure and results to the plenary. Active participation is vital for the success of the seminar, and students are expected to contribute to presentations of foundational themes, methods and results of their chosen group project. In order to obtain course credit a written essay / report will be required (details to be specified in the introductory session of the course).
851-0252-05LResearch Seminar Cognitive Science Belegung eingeschränkt - Details anzeigen
Prerequisite: Participants should be involved in research in the cognitive science group.
W2 KP2SC. Hölscher, S. Andraszewicz
KurzbeschreibungThe colloquium provides a forum for researchers and graduate students in cognitive science to present/discuss their ongoing projects as well as jointly discuss current publications in cognitive science and related fields. A subset of the sessions will include invited external visitors presenting their research. Participants of this colloquium are expected to be involved in active research group.
LernzielGraduate student train and improve their presentation skills based on their own project ideas, all participants stay informed on current trends in the field and have the opportunity for networking with invited scholars.
851-0585-41LComputational Social Science Belegung eingeschränkt - Details anzeigen
Number of participants limited to 50.
W3 KP2SD. Helbing, J. Argota Sánchez-Vaquerizo, M. Korecki
KurzbeschreibungThe seminar aims at three-fold integration: (1) bringing modeling and computer simulation of techno-socio-economic processes and phenomena together with related empirical, experimental, and data-driven work, (2) combining perspectives of different scientific disciplines (e.g. sociology, computer science, physics, complexity science, engineering), (3) bridging between fundamental and applied work.
LernzielParticipants of the seminar should understand how tightly connected systems lead to networked risks, and why this can imply systems we do not understand and cannot control well, thereby causing systemic risks and extreme events.

They should also be able to explain how systemic instabilities can be understood by changing the perspective from a component-oriented to an interaction- and network-oriented view, and what fundamental implications this has for the proper design and management of complex dynamical systems.

Computational Social Science and Global Systems Science serve to better understand the emerging digital society with its close co-evolution of information and communication technology (ICT) and society. They make current theories of crises and disasters applicable to the solution of global-scale problems, taking a data-based approach that builds on a serious collaboration between the natural, engineering, and social sciences, i.e. an interdisciplinary integration of knowledge.
LiteraturComputational Social Science
Link

Manifesto of Computational Social Science
Link

Social Self-Organisation
Link

How simple rules determine pedestrian behaviour and crowd disasters
Link

Peer review and competition in the Art Exhibition Game
Link

Generalized network dismantling
Link

Computational Social Science: Obstacles and Opportunities
Link

Bit by Bit: Social Research in the Digital Age
Link

Further literature will be recommended in the lectures.
KompetenzenKompetenzen
Fachspezifische KompetenzenKonzepte und Theoriengeprüft
Verfahren und Technologiengeprüft
Methodenspezifische KompetenzenAnalytische Kompetenzengeprüft
Entscheidungsfindunggefördert
Medien und digitale Technologiengefördert
Problemlösunggefördert
Projektmanagementgefördert
Soziale KompetenzenKommunikationgeprüft
Kooperation und Teamarbeitgefördert
Kundenorientierunggefördert
Menschenführung und Verantwortunggefördert
Selbstdarstellung und soziale Einflussnahmegeprüft
Sensibilität für Vielfalt gefördert
Verhandlunggefördert
Persönliche KompetenzenAnpassung und Flexibilitätgefördert
Kreatives Denkengeprüft
Kritisches Denkengeprüft
Integrität und Arbeitsethikgeprüft
Selbstbewusstsein und Selbstreflexion geprüft
Selbststeuerung und Selbstmanagement geprüft
851-0609-06LGoverning the Energy Transition Belegung eingeschränkt - Details anzeigen
Primarily suited for Master and PhD level.
W2 KP2VT. Schmidt, N. Schmid, S. Sewerin
KurzbeschreibungThis course addresses the role of policy and its underlying politics in the transformation of the energy sector. It covers historical, socio-economic, and political perspectives and applies various theoretical concepts to understand specific aspects of the governance of the energy transition.
Lernziel- To gain an overview of the history of the transition of large technical systems
- To recognize current challenges in the energy system to understand the theoretical frameworks and concepts for studying transitions
- To gain knowledge on the role of policy and politics in energy transitions
InhaltClimate change, access to energy and other societal challenges are directly linked to the way we use and create energy. Both the 2015 United Nations Paris climate change agreement and the UN Sustainable Development Goals make a fast and extensive transition of the energy system necessary.
This lecture introduces the social and environmental challenges involved in the energy sector and discusses the implications of these challenges for the rate and direction of technical change in the energy sector. It compares the current situation with historical socio-technical transitions and derives the consequences for policy-making. It introduces theoretical frameworks and concepts for studying innovation and transitions. It then focuses on the role of policy and policy change in governing the energy transition, considering the role of political actors, institutions and policy feedback.
The grade will be determined by a final exam.
SkriptSlides and reading material will be made available via moodle.ethz.ch (only for registered students).
LiteraturA reading list will be provided via moodle.ethz.ch at the beginning of the semester.
Voraussetzungen / BesonderesThis course is particularly suited for students of the following programmes: MA Comparative International Studies; MSc Energy Science & Technology; MSc Environmental Sciences; MSc Management, Technology & Economics; MSc Science, Technology & Policy; ETH & UZH PhD programmes.
851-0105-00LHintergrundwissen arabische WeltW2 KP2VU. Gösken
KurzbeschreibungBeleuchtung wichtiger Aspekt arabischer Kultur und Geschichte wie Geschichtsbilder und Geschichtsverständnis, Rolle von Literatur, Wissenschaften und Religion, Westbilder, Bedeutung von Bildung, Verständnis von Kultur sowie aktuelle soziokulturell relevante Konzepte und Diskurse
LernzielVermittlung von Wissensinhalten über die arabische Welt, die für das
Selbstverständnis von Araberinnen und Arabern von heute konstitutiv und für das
intellektuell und kulturell kompetente Verhalten in dieser relevant sind. Welches
Allgemeinwissen über "ihre" Kultur wird AraberInnen vermittelt? Mit welchen Zielen? Und
welche Beziehung bauen sie zu diesem Wissen auf?
Wissenschaftlich kritisch diskutiert werden Geschichtsbilder und Geschichtsverständnis, Rolle von Literatur, Wissenschaften
und Religion, Westbilder und Verhältnis zum Westen; Bedeutung von Bildung an sich, Verständnis von Kultur und
Kultiviertheit; aktuelle politisch und soziokulturell relevante Konzepte und Diskurse
851-0252-10LProject in Behavioural Finance Belegung eingeschränkt - Details anzeigen
Maximale Teilnehmerzahl: 40

Besonders geeignet für Studierende D-MTEC
W3 KP2SS. Andraszewicz, C. Hölscher, A. C. Roberts
KurzbeschreibungIn this seminar, students will study cognitive processes, behaviour and the underlying biological response to financial decisions. Research methods such as asset market experiments, lottery games, risk preference assessment, psychometrics, neuroimaging and psychophysiology of decision processes will be discussed. Financial bubbles and crashes will be the core interest.
LernzielThis course has four main goals:
1) To learn about the most important topics within Behavioural Finance
2) To learn how to conduct behavioural studies, design experiments, plan data collection and experimental tasks
3) To learn about causes of market crashes, factors that influence them, traders' behaviour before, during and after financial crises
4) To investigate a topic of interest, related to behaviour of traders during market crashes.

Additionally, the course gives to the students the opportunity to practice oral presentations, communication skills, report writing and critical thinking.
InhaltThe course provides an overview of the most important topics in Behavioural Finance. First part of the course involves reading scientific articles, which will be discussed during the seminar. Therefore, attendance is required to pass the course. Each week, a student volunteer will present a paper and the presentation will be followed by a discussion. After obtaining sufficient knowledge of the field, students will select a topic for a behavioural study of their own. The final assignment consists of preparing and conducting a small behavioural study/experiment, analysing the data and presenting the project in the final meeting of the class. Each student will write a scientific report of their study.
701-0015-00LTransdisciplinary Research: Challenges of Interdisciplinarity and Stakeholder Engagement Belegung eingeschränkt - Details anzeigen
Number of participants limited to 20.
Priority is given to PhD students D-USYS.

All participants will be on the waiting list at first. Enrollment is possible until 15 September 2021. The waiting list is active until 17 September. All students will be informed on 19 September, if they can participate in the lecture.
The lecture takes place if a minimum of 12 students register for it..
W2 KP2SM. Stauffacher, C. E. Pohl, B. Vienni Baptista
KurzbeschreibungThis seminar is designed for PhD students and PostDoc researchers involved in inter- or transdisciplinary research. It addresses and discusses challenges of this kind of research using scientific literature presenting case studies, concepts, theories, methods and by testing practical tools. It concludes with a 10-step approach to make participants' research projects more societally relevant.
LernzielParticipants know specific challenges of inter- and transdisciplinary research and can address them by applying practical tools. They can tackle questions like: how to integrate knowledge from different disciplines, how to engage with societal actors, how to secure broader impact of research? They learn to critically reflect their own research project in its societal context and on their role as scientists.
InhaltThe seminar covers the following topics:
(1) Theories and concepts of inter- and transdisciplinary research
(2) The specific challenges of inter- and transdisciplinary research
(3) Collaborating between different disciplines
(4) Engaging with stakeholders
(5) 10 steps to make participants' research projects more societally relevant
Throughout the whole course, scientific literature will be read and discussed as well as practical tools explored in class to address concrete challenges.
LiteraturLiterature will be made available to the participants.
The following open access article builds a core element of the course:
Pohl, C., Krütli, P., & Stauffacher, M. (2017). Ten Reflective Steps for Rendering Research Societally Relevant. GAIA 26(1), 43-51 doi: 10.14512/gaia.26.1.10
available at (open access): Link

Further, this collection of tools will be used
Link
Voraussetzungen / BesonderesParticipation in the course requires participants to be working on their own research project.
Dates (Wednesdays, 8h15-12h00): 29 September, 27 October, 10 November, 24 November, 8 December
851-0252-13LNetwork Modeling
Particularly suitable for students of D-INFK and in the MSc Data Science

Students are required to have basic knowledge in inferential statistics, such as regression models.
W3 KP2VC. Stadtfeld, V. Amati
KurzbeschreibungNetwork Science is a distinct domain of data science that focuses on relational systems. Various models have been proposed to describe structures and dynamics of networks. Statistical and numerical methods have been developed to fit these models to empirical data. Emphasis is placed on the statistical analysis of (social) systems and their connection to social theories and data sources.
LernzielStudents will be able to develop hypotheses that relate to the structures and dynamics of (social) networks, and tests those by applying advanced statistical network methods such as exponential random graph models (ERGMs) and stochastic actor-oriented models (SAOMs). Students will be able to explain and compare various network models, and develop an understanding of how those can be fit to empirical data. This will enable students to independently address research questions from various social science fields.
InhaltThe following topics will be covered:

- Introduction to network models and their applications

- Stylized models:
* uniform random graph models
* small world models
* preferential attachment models

- Models for testing hypotheses while controlling for the network structure:
*Quadratic assignment procedure regression (QAP regression)

- Models for testing hypotheses on the network structure:
* Models for one single observation of a network: exponential random graph models (ERGMs)
* Models for panel network data: stochastic actor-oriented models (SAOMs)
* Models for relational event data: dynamic network actor models (DyNAMs)

The application of these models is illustrated through examples and practical sessions involving the analysis of network data using the software R.
SkriptSlides and lecture notes are distributed via the associated course moodle.
Literatur- Krackardt, D. (1987). QAP partialling as a test of spuriousness. Social networks, 9(2), 171-186.
- Robins, G., Pattison, P., Kalish, Y., & Lusher, D. (2007). An introduction to exponential random graph (p*) models for social networks. Social networks, 29(2), 173-191.
- Snijders, T. A. B., Van de Bunt, G. G., & Steglich, C. E. G. (2010). Introduction to stochastic actor-based models for network dynamics. Social networks, 32(1), 44-60.
- Snijders, T. A. B. (2011). Statistical models for social networks. Annual Review of Sociology, 37.
- Stadtfeld, C., & Block, P. (2017). Interactions, actors, and time: Dynamic network actor models for relational events. Sociological Science, 4, 318-352.
Voraussetzungen / BesonderesStudents are required to have basic knowledge in inferential statistics and should be familiar with linear and logistic regression models.
851-0252-15LNetwork Analysis
Particularly suitable for students of D-INFK, D-MATH
W3 KP2VU. Brandes
KurzbeschreibungNetwork science is a distinct domain of data science that is characterized by a specific kind of data being studied.
While areas of application range from archaeology to zoology, we concern ourselves with social networks for the most part.
Emphasis is placed on descriptive and analytic approaches rather than theorizing, modeling, or data collection.
LernzielStudents will be able to identify and categorize research problems
that call for network approaches while appreciating differences across application domains and contexts.
They will master a suite of mathematical and computational tools,
and know how to design or adapt suitable methods for analysis.
In particular, they will be able to evaluate such methods in terms of appropriateness and efficiency.
InhaltThe following topics will be covered with an emphasis on structural and computational approaches and frequent reference to their suitability with respect to substantive theory:

* Empirical Research and Network Data
* Macro and Micro Structure
* Centrality
* Roles
* Cohesion
SkriptLecture notes are distributed via the associated course moodle.
Literatur* Hennig, Brandes, Pfeffer & Mergel (2012). Studying Social Networks. Campus-Verlag.
* Borgatti, Everett & Johnson (2013). Analyzing Social Networks. Sage.
* Robins (2015). Doing Social Network Research. Sage.
* Brandes & Erlebach (2005). Network Analysis. Springer LNCS 3418.
* Wasserman & Faust (1994). Social Network Analysis. Cambridge University Press.
* Kadushin (2012). Understanding Social Networks. Oxford University Press.
851-0742-00LContract Design I Belegung eingeschränkt - Details anzeigen
This course is taught by Professor Alexander Stremitzer (Link). Note that this is NOT a legal drafting class that focuses on contractual language. Instead, in Contact Design I, you will learn what the content of a contract should be so that parties can reach their goals.

You can find all course materials and the most recent announcements on Moodle. Please log in to Moodle using your ETH or UZH credentials. Then search for "Contract Design I (851-0742-00L; Fall 2021)" and enroll. The password is "ContractDesign01".

Number of participants limited to 160.
Max 80 ETHZ and 80 UZH Students
W3 KP2VA. Stremitzer
KurzbeschreibungContract Design I aims to bridge the gap between economic contract theory, contract law, and the writing of real-world contracts. In this course, we take a systematic approach to contract design. This means we first analyze the economic environment in which a transaction takes place, and then engineer contracts that achieve the desired outcome.
LernzielContracts are agreements between parties to engage in transactions. A good contract creates value by giving parties the right incentives to meet their objectives. A good contract designer scrutinizes the economic situation in which parties find themselves and tailors the contract to the challenges at hand. To help you become sophisticated contract designers, we draw from insights, for which more than half a dozen Nobel Prizes were awarded in the past two decades, and transfer them to the art of writing real-world contracts. In other words, Contract Design I will provide you with analytical tools related to contracting that are invaluable to successful lawyers, business leaders, and startup founders.

In Contract Design I, you will be asked to watch a series of videos (10-15 minutes each) that we produced for this course. These video episodes introduce you to key concepts of economic, behavioral, and experimental contract theory. We will cover topics such as moral hazard, adverse selection, elicitation mechanisms, relationship-specific investments, and relational contracting. You can find the welcome video at this link (Link). However, this course prioritizes applications of contract design. Therefore, we will use class time to discuss a selection of exciting real-world case studies, ranging from purchases & sales of assets, oil & gas exploration, movie production & distribution, construction & development, M&A deals, to executive compensation and many other types of transactions.

ETH students: Your final grade will consist of two components: 1) You are required to take weekly computer-based quizzes during class time. Thus, it is imperative that you attend the lectures to be able to finish the quizzes and pass this course. Moreover, we regularly post questions regarding the case studies that we examine in class. 2) You have to compose short responses to these questions and upload them. Note that UZH students enrolling in this course earn more ECTS on completing this course than ETH students. This is because UZH students must hand in an extensive group project in addition to the weekly quizzes and short responses.
SkriptHandouts, prerecorded videos, slides, and other materials
Voraussetzungen / BesonderesContract Design I is available to ETH students through the Science in Perspective (SiP) Program of D-GESS. This course is particularly suitable for students of D-ARCH, D-BAUG, D-CHAB, DMATH, D-MTEC, D-INFK, and D-MAVT. If you have any questions on Contract Design I, please send an e-mail to Professor Stremitzer’s Teaching Assistant Diego Caldera (Link).
851-0732-06LLaw & Tech Belegung eingeschränkt - Details anzeigen
Number of participants limited to 30.
W3 KP3SA. Stremitzer, J. Merane, A. Nielsen
KurzbeschreibungThis course introduces students to legal, economic, and social perspectives on the increasing
economic and social importance of technology. We focus particularly on the challenges to current
law posed by the increasing rate of tech innovation and adoption generally and also by case-specific
features of prominent near-future technologies.
LernzielThe course is intended for a wide range of engineering students, from machine learning to
bioengineering to human computer interaction, as well as for law students interested in acquiring a
better understanding of state-of-the-art technology.

The course will combine both an overview of major areas of law that affect the regulation of
technology and also guest lectures on the state-of-the art in a variety of important technologies,
ranging from autonomous vehicles to fair artificial intelligence to consumer-facing DNA technologies.

The course is open to ETH students through the Science in Perspective program of the Department
of Humanities, Social and Political Sciences.
InhaltThe planned course outline is below

1. Overview of science, law, and technology
a. Studies of law and technology
b. Should science be regulated, and if so, how?
c. Technology as a social problem

2. Designing technology for humans
a. Attention fiduciaries and the digital environment
b. Does technology weaponize known problems of bounded human rationality?
c. Should technology be regulated as a psychotropic substance? An addictive
substance?
d. Can technology make life easier?
e. Psychological effects of surveillance

3. Governing tech
a. Can small governments regulate big tech?
b. National and supranational legislation
c. Enforcing the law with technology
d. Can enforcement be baked into technology?

4. AI and fairness
a. Discrimination
b. Privacy
c. Opacity
d. AI and due process

5. Trade secret and technological litigation
a. Trade secret is a long-standing tool for litigation but does it enjoy too much
deference?
b. Trade secrets and the rights of employes

6. Enforcement against tech
a. Big tech and antitrust
b. Consumer protection

7. The Digital Battlefield
a. Technology for spying
b. Spying on technology companies
c. Race to be AI superpower
d. Immigration policy

8. Contract law
a. Smart contracts
b. Modernizing contract law and practice
c. Regulating cryptocurrencies

9. Tort law
a. Applying existing tort law to new autonomous technologies
b. Personhood and personal responsibility
c. Victim entitlements

10. Self-driving cars and other autonomous robotics
a. Legal regimes
b. Diversity in morality judgements related to autonomous vehicles

11. Biometrics
a. Widespread use of facial recognition
b. Law enforcement
c. Connecting biometrics to social data
d. Solving crimes with biometrics

12. New Biology and Medicine
a. Unregulated science (biohackers)
b. Promising technology before it can be delivered
c. Connecting medicine to social data
d. Using technology to circumvent medical regulations
851-0101-86LComplex Social Systems: Modeling Agents, Learning, and Games Belegung eingeschränkt - Details anzeigen
Number of participants limited to 100.

Prerequisites: Basic programming skills, elementary probability and statistics.
W3 KP2SN. Antulov-Fantulin, T. Asikis, D. Helbing
KurzbeschreibungThis course introduces mathematical and computational models to study techno-socio-economic systems and the process of scientific research. Students develop a significant project to tackle techno-socio-economic challenges in application domains of complex systems. They are expected to implement a model and communicating their results through a seminar thesis and a short oral presentation.
LernzielThe students are expected to know a programming language and environment (Python, Java or Matlab) as a tool to solve various scientific problems. The use of a high-level programming environment makes it possible to quickly find numerical solutions to a wide range of scientific problems. Students will learn to take advantage of a rich set of tools to present their results numerically and graphically.

The students should be able to implement simulation models and document their skills through a seminar thesis and finally give a short oral presentation.
InhaltStudents are expected to implement themselves models of various social processes and systems, including agent-based models, complex networks models, decision making, group dynamics, human crowds, or game-theoretical models.

Part of this course will consist of supervised programming exercises. Credit points are finally earned for the implementation of a mathematical or empirical model from the complexity science literature and the documentation in a seminar thesis.
SkriptThe lecture slides will be presented on the course web page after each lecture.
LiteraturAgent-Based Modeling
Link

Social Self-Organization
Link

Traffic and related self-driven many-particle systems
Reviews of Modern Physics 73, 1067
Link

An Analytical Theory of Traffic Flow (collection of papers)
Link

Pedestrian, Crowd, and Evacuation Dynamics
Link

The hidden geometry of complex, network-driven contagion phenomena (relevant for modeling pandemic spread)
Link

Further literature will be recommended in the lectures.
Voraussetzungen / BesonderesThe number of participants is limited to the size of the available computer teaching room. The source code related to the seminar thesis should be well enough documented.

Good programming skills and a good understanding of probability & statistics and calculus are expected.
KompetenzenKompetenzen
Fachspezifische KompetenzenKonzepte und Theoriengeprüft
Verfahren und Technologiengeprüft
Methodenspezifische KompetenzenAnalytische Kompetenzengeprüft
Entscheidungsfindunggeprüft
Medien und digitale Technologiengefördert
Problemlösunggeprüft
Projektmanagementgeprüft
Soziale KompetenzenKommunikationgeprüft
Kooperation und Teamarbeitgeprüft
Kundenorientierunggefördert
Menschenführung und Verantwortunggeprüft
Selbstdarstellung und soziale Einflussnahmegeprüft
Sensibilität für Vielfalt geprüft
Verhandlunggefördert
Persönliche KompetenzenAnpassung und Flexibilitätgeprüft
Kreatives Denkengeprüft
Kritisches Denkengeprüft
Integrität und Arbeitsethikgeprüft
Selbstbewusstsein und Selbstreflexion geprüft
Selbststeuerung und Selbstmanagement geprüft
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