Adina Rom: Catalogue data in Autumn Semester 2021 |
| Name | Dr. Adina Rom |
| Address | Professur für Entwicklungsökonomie ETH Zürich, CLD B 6 Clausiusstrasse 37 8092 Zürich SWITZERLAND |
| Telephone | +41 44 633 85 65 |
| adina.rom@nadel.ethz.ch | |
| Department | Humanities, Social and Political Sciences |
| Relationship | Lecturer |
| Number | Title | ECTS | Hours | Lecturers | |
|---|---|---|---|---|---|
| 851-0624-00L | ETH4D PhD Seminar: Research for Development  Number of participants limited to 15. | 1 credit | 1K | I. Günther, A. Rom, E. Tilley | |
| Abstract | Doctoral candidates from all ETH departments, whose research is related to global sustainable development issues, and conducting research in low- or middle-income countries are invited to give a presentation about their on-going work and discuss their doctoral project with a diverse group of researchers. | ||||
| Learning objective | Doctoral students are able to present their doctoral project to an interdisciplinary audience and to respond to questions within a wider global sustainable development context. | ||||
| 851-0651-00L | Communicating Science for Global Development | 0.5 credits | 1S | A. Rom | |
| Abstract | Students will learn the basics of science communication, effective writing, and how to use images to convey clear and compelling messages to a non-specialist public. The course will be taught by science communicator and freelance journalist Dr. Jacopo Pasotti. The workshop is geared to practical issues and grounded in the latest theory and practice of science communication. | ||||
| Learning objective | • Students will get familiar with how to communicate science to the public, issues on credibility and trust building. • Students will learn how to craft a short but simple text on scientific topics, ideally suitable for a blog or newsletter. • Students get a broad understanding of visual language, especially applied to the use of images to complement their texts. | ||||
| Content | In this introductory class on science communication and writing, students will learn about challenges related to science communication and the most recent views such as the so-called shift from one- to two-ways communication, and issues on credibility and trust of science and scientists. Students will then get an introduction to effective writing techniques, the concept of framing messages, and storytelling. They will practice writing a short, compelling text adding a visual to provide the clearest possible presentation of a scientific topic, aiming at the general public. The final product will be a potential post for a blog or a newsletter. At the end of the workshop, students should have improved their skills in dialoguing with and engaging a non-specialist audience. The course is offered by ETH4D and preference will be given to students working on global development issues. | ||||
| 865-0000-06L | Impact Evaluations in Practice Only for MAS/CAS in Development and Cooperation students, as well as specialists with at least 24 months of practical experience in international cooperation. ETH doctoral students working on topics related to poverty reduction in low- and middle income countries may also be admitted. Registration only through the NADEL administration office. | 2 credits | 3G | I. Günther, A. Rom, K. Schneider | |
| Abstract | The course gives an introduction to the most important methods for rigorous impact analysis of development programs and projects. The course is designed to both cover the most fundamental methods of impact analysis and introduce real world case studies from national, international and non-governmental development organizations and asks how rigorous impact analysis has influenced their policies. | ||||
| Learning objective | Participants understand the most important methods of impact analysis. They are able to conduct small scale studies to evaluate the impact of their own programs as well as manage larger impact evaluations for their organizations. Participants are able to use the results of own and external impact studies. | ||||
| Content | Introduction to rigorous impact analysis; Case studies and their policy implications; Introduction to the required statistical knowledge; Potentials and limitations of quantitative analysis; Experimental and quasi-experimental methods; Relevant and feasible indicators for the measurement of outcomes and impacts; Data collection and analysis; Project management of an impact analysis. | ||||
| Prerequisites / Notice | Students of the course must fulfil requirements specified on the homepage of NADEL. Electronic registration may be done only after registration with NADEL secretariate. | ||||
| 876-0201-00L | Technology and Policy Analysis Only for CAS in Technology and Public Policy: Impact Analysis | 8 credits | 5G | T. Schmidt, E. Ash, R. Garrett, I. Günther, L. Kaack, A. Rom, B. Steffen | |
| Abstract | Technologies substantially affect the way we live and how our societies function. Technological change, i.e. the innovation and diffusion of new technologies, is a fundamental driver of economic growth but can also have detrimental side effects. This module introduces methods to assess technology-related policy alternatives and to analyse how policies affect technological changes and society. | ||||
| Learning objective | Introduction: Participants understand (1) what ex ante and ex post policy impact analysis is, (2) in what forms and with what methods they can be undertaken, (3) why they are important for evidence-based policy-making. Analysis of Policy and Technology Options: Participants understand (1) how to perform policy analyses related to technology; (2) a policy problem and the rationale for policy intervention; (3) how to select appropriate impact categories and methods to address a policy problem through policy analysis; (4) how to assess policy alternatives, using various ex ante policy analysis methods; (5) and how to communicate the results of the analysis. Evaluation of Policy Outcomes: Participants understand (1) when and why policy outcomes can be evaluated based on observational or experimental methods, (2) basic methods for evaluating policy outcomes (e.g. causal inference methods and field experiments), (3) how to apply concepts and methods of policy outcome evaluation to specific cases of interest. Big Data Approaches to Policy Analysis: Participants understand (1) why "big data" techniques for making policy-relevant assessments and predictions are useful, and under what conditions, (2) key techniques in this area, such as procuring big datasets; pre-processing and dimension reduction of massive datasets for tractable computation; machine learning for predicting outcomes; interpreting machine learning model predictions to understand what is going on inside the black box; data visualization including interactive web apps. | ||||
| Literature | Course materials can be found on Moodle. | ||||