Teaching

Natural Language Processing with Deep Learning

MSc, Hertie School, 2020

Natural Language Processing (NLP) is a key technology of the information age. Automatically processing natural language outputs is a key component of artificial intelligence. Applications of NLP are everywhere because people and institutions largely communicate in language. Recently statistical techniques based on neural networks have achieved a number of remarkable successes in natural language processing leading to a great deal of commercial and academic interest in the field. This course provides an overview of modern data-driven models to richer structural representations of how words interact to create meaning. We will discuss salient linguistic phenomena and successful computational models. We will also cover machine learning techniques relevant to natural language processing.

Governance and Politics of Artificial Intelligence

MSc, Hertie School, 2020

Innovations in Artificial intelligence (AI) are transforming economies and societies globally, and with them politics. This course explores these transformations and corresponding policy challenges. As a governance school Hertie has a special responsibility to address these critical topics. Integrating perspectives from both natural and social sciences, this course will provide learning experiences that examine the impact of AI on humans and societies. We will explore the proliferation of algorithmic decision-making and autonomous systems; the issues of ethics, fairness, transparency and accountability raised by AI techniques such as machine learning; balances and interactions between regulation and innovation; the effects of AI on human rights and economic wellbeing; the global AI arms race; and increasing oppressive capabilities of state- and non-state actors. We consider both public and private strategies of regulation, and local, national, and transnational aspects of governance.

AI for Decision Makers

Executive, Hertie School, 2020

Artificial Intelligence, Machine Learning, and Data Science have been dominating the headlines in the last few years. But what does it all mean? What are these technologies and how are they linked? What benefits can organisations and businesses derive from deploying such technologies and how can they go about and embed them to deliver tangible benefits? What are the governance implications of artificial intelligence deployment? This course aims to demystify these concepts and highlight direct business and societal benefits. Navigating through the complex maze of these rapidly evolving technologies can be non-trivial for organisations of different size and market maturity. We look beyond the hype and focus on the real challenges and opportunities of practical applications of such technologies for organisations. Whether it is to gain efficiency in current business model or transform decision making and product or service delivery, there are many ways to utilise artificial intelligence technologies. We also consider challenges and opportunities arising from ethical, fair, transparent, and accountable deployment of artificial intelligence.

Text as Data: Quantitative Text Analysis for Political Science and Public Policy

MSc, Hertie School, 2019

Fake news, disinformation, and propaganda influence elections and increase political polarisation. Parliamentary debates, party manifestos, and public engagement provide for informed politics, robust democracy, and improved public policy. Increasingly large volumes of textual data underpin both of these trends. This course covers theoretical concepts of treating text as data in the context of social science research. The course also provides a hands-on introduction to statistical methods to generate insights from text data using open source libraries in R.

Introduction Machine Learning

MSc, Hertie School, 2019

Machine learning is a core technology of artificial intelligence (AI) that enables computers to act without being explicitly programmed. Recent advances in machine learning have given us, inter alia, self-driving cars, AlphaGo, Amazon, and Netflix. This technology has also allowed us to predict armed conflict and post-electoral violence, detect fake news, develop targeted provision of care and public services, and implement early policy interventions.

Introduction to Data Science and Big Data Analytics

Summer School, London School of Economics, 2018

This course integrates prior training in quantitative methods (statistics) and coding with substantive expertise and introduces the fundamental concepts and techniques of Data Science and Big Data Analytics. Typical students will be advanced undergraduate and postgraduate students from any field requiring the fundamentals of data science or working with typically large datasets and databases. Practitioners from industry, government, or research organisations with some basic training in quantitative analysis or computer programming are also welcome. Because this course surveys diverse techniques and methods, it makes an ideal foundation for more advanced or more specific training. Our applications are drawn from social, political, economic, legal, and business and marketing fields.