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University of Cape Town
Summer Institute in Computational Social Science Partner Site

June 18, 2018 - June 29, 2018 | University of Cape Town

Partner location for SICSS organised at Duke University

A Summer Institute in Computational Social Science will be held at the University of Cape Town from 18-29 June 2018. The purpose of the Summer Institute in Cape Town is to bring together graduate students, postdoctoral researchers, and faculty interested in computational social science. The Summer Institute is for both social scientists (broadly conceived) and data scientists (broadly conceived).

The organizer and principal faculty of the Summer Institute in Cape Town is Dr Visseho Adjiwanou. It is supported by the University of Cape Town, Russel Sage Foundation, Alfred P. Sloan Foundation and and the International Union for the Scientific Study of Population IUSSP. The support from IUSSP will fund the participation of African scholars outside South Africa. The Cape Town satellite, together with five other satellites in the US and Finland are organized with the support of the Summer Institute organised at Duke https://compsocialscience.github.io/summer-institute/2018/.

The instructional program will involve lectures (mostly livestreamed from Duke University), group problem sets, and participant-led research projects. There will also be outside speakers who conduct computational social science research in academia, industry, and government. Topics covered include text as data, website scraping, digital field experiments, non-probability sampling, mass collaboration, and ethics. There will be ample opportunities for students to discuss their ideas and research with the organizers, other participants, and visiting speakers. Since we are committed to open and reproducible research, all materials created by faculty and students for the Summer Institute will be released open source.

Participation is restricted to Master and Ph.D. students, postdoctoral researchers, and faculty from universities in South Africa. Meals and registration fees are covered. Participants from outside South Africa are welcomed only if they are able to cover their own costs (tickets and accommodation). About twenty participants will be invited. Participants with less experience with social science research will be expected to complete additional readings in advance of the Institute, and participants with less experience coding will be expected to complete a set of online learning modules on the R programming language. Students doing this preparatory work will be supported by a teaching assistant who will hold online office hours before the Institute.

Application materials should be received by Monday, May 21, 2018.

International Union for the Scientific Study of Population logo


Vissého Adjiwanou

Vissého Adjiwanou is a Senior Lecturer in Demography and Quantitative Methods at the University of Cape Town (South Africa), and adjunct professor at the Department of Demography at the Université de Montréal (Canada). His research interests include maternal and reproductive health, family dynamics, and female employment in sub-Saharan Africa. Vissého is the chair of the Panel on Computational Social Science at the Union for African Population Studies (UAPS).

Image of Tom Moultrie

Tom Moultrie

Tom Moultrie is professor of demography, and Director of the Centre for Actuarial Research (CARe) at the University of Cape Town. His interests lie in the technical measurement and sociology of fertility in sub-Saharan Africa, and the sociology of demographic measurement. He holds a BBusSc (Actuarial Science) from UCT, a MSc (Development Studies) from the LSE, and a PhD from LSHTM.


Matthew Salganik

Matthew Salganik is Professor of Sociology at Princeton University, and he is affiliated with several of Princeton’s interdisciplinary research centers: the Office for Population Research, the Center for Information Technology Policy, the Center for Health and Wellbeing, and the Center for Statistics and Machine Learning. His research interests include social networks and computational social science. He is the author of the forthcoming book Bit by Bit: Social Research in the Digital Age.

Chris Bail

Chris Bail is the Douglas and Ellen Lowey Associate Professor of Sociology and Public Policy at Duke University and a member of the Interdisciplinary Program on Data Science, the Duke Network Analysis Center, and the Duke Population Research Institute. His research examines how non-profit organiations and other political actors shape social media discourse using large text-based datasets and apps for social science research. He is the author of Terrified: How Anti-Muslim Fringe Organizations Became Mainstream.

Marshini Chetty

Marshini Chetty is a research scholar in the Department of Computer Science at Princeton University where she directs the Princeton Human Computer Interaction laboratory. She specializes in human computer interaction, usable security, and ubiquitous computing. She has a Ph.D. in Human-Centered Computing from Georgia Institute of Technology, USA and a Masters and Bachelors in Computer Science from University of Cape Town, South Africa. Marshini regularly publishes at top tier venues including CHI, CSCW, and SOUPS.

Nick Feamster

Nick Feamster is a professor in the Computer Science Department at Princeton University and the Deputy Director of the Princeton University Center for Information Technology Policy (CITP). Before joining the faculty at Princeton, he was a professor in the School of Computer Science at Georgia Tech. He received his Ph.D. in Computer science from MIT in 2005, and his S.B. and M.Eng. degrees in Electrical Engineering and Computer Science from MIT in 2000 and 2001, respectively. His research focuses on many aspects of computer networking and networked systems, with a focus on network operations, network security, and censorship-resistant communication systems.

Ridhi Kashyap

Ridhi Kashyap is associate professor of social demography at the University of Oxford and a fellow of Nuffield College. Ridhi’s interests span a number of substantive areas in demography and sociology, including gender, marriage and family, health and mortality, and ethnicity and migration. She is interested in how digital and computational innovations, both in terms of new data sources (e.g web data) and methods (e.g agent-based modeling and microsimulation) can be used in social and demographic research.

Vukosi Marivate

Vukosi Marivate holds a PhD in Computer Science (Rutgers University, as a Fulbright Scholar). He is a senior Data Scientist and acting research group leader for Data Science at the CSIR, focusing on creating/using Machine Learning/Artificial Intelligence to extract insights from data to tackle societal challenges. Vukosi is an organiser of the Deep Learning Indaba, the largest Machine Learning/Artificial Intelligence workshop on the African continent, aiming to strengthen African Machine Learning. He supervises postgraduate students and leads the CSIR’s Data Science student development program.

Deen Freelon

David Lazer

Kristian Lum

Sendhil Mullainathan

Duncan Watts

Teaching Assistants

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Gerald Nathan Balekaki

Gerald Nathan Balekaki is a doctoral student in the UCT Department of Computer Science.

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Chido Chinogurei

Chido Chinogurei is a Data Analyst at the National Income Dynamics Study (NIDS) and a Research Assistant at the Centre for Actuarial Research (CARe) at the University of Cape Town.


Image of Chukwuedozie K. Ajaero

Chukwuedozie K. Ajaero

Chukwuedozie K. Ajaero holds a PhD in Population Geography, which was funded with a grant from the International Foundation for Science (IFS) Stockholm, Sweden. He is a Postdoctoral Research Fellow with the Demography and Population Studies Programme of the University of the Witwatersrand, South Africa, and also a Lecturer in the Department of Geography, University of Nigeria, Nsukka. His areas of research interests include migration, environment and livelihoods linkages as well as health and quality of life studies. He has to his credit journal articles, book chapters, and is a co-author of a book titled “Climate Change and the Nigerian Environment

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Mustafa Ali

Mustafa Ali is doing Masters in Computer Science Department at university of Cape Town. He completed his Honors’ degree in Statistics and Computer Science at the university of Khartoum. In his MSc project he is developing subscription service for large astronomical data sets.

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Donatus Yaw Atiglo

D. Yaw Atiglo is a postdoctoral researcher at the University of Ghana where he had his masters and doctoral training. With expertise in Demography and Social Statistics, his main research interests include population-environment nexus, women’s reproductive health behaviour, gender and migration.

Image of Lamègou François Badjadouna

Lamègou François Badjadouna

Lamègou François Badjadouna works at the National Statistics Agency of Togo. He holds a Master degree in Economics and Statistical Engineering from the sub-Regional Institute of Statistics and Applied Economics of Yaoundé (Cameroon). His research focuses on how to leverage data analytics to foster better development policies.

Image of Aristide Romaric Bado

Aristide Romaric Bado

Aristide Romaric Bado (PhD) is a senior research scientist in Demography. He is currently the Demography and Research Officer for the Regional Programme of Demography, Sexual and Reproductive Health (DEMSAN) at the West African Health Organization (WAHO). Prior to joining WAHO, he was researcher at the Research Institute and Health Science (IRSS) of the National Center for Scientific and Technological Research (CNRST)/Ouagadougou in Burkina Faso and lecturer in demography and quantitative methods. He was awarded the Queen Elizabeth II Diamond Jubilee Scholarship for his post-doctoral research at the School of Public Health at the University of Montreal in Canada. He holds a PhD in Population studies from the University of Western Cape (Cape Town, South Africa), a Master’s degree in Demography from the Demographic Training and Research Institute (IFORD) at the University of Yaoundé II (Cameroon) and a B.Sc. in Economics from the University of Ouagadougou (Burkina Faso).

Image of Richard Barnett

Richard Barnett

Richard Barnett is a lecturer in the Department of Information Science at Stellenbosch University and a co-founder of the Computational Social Science group in the Department. He is also a member of the Centre for Artificial Intelligence Research. He comes from a computing sciences background with a strong technical focus. With this in mind, his current research focuses on a machine learning approach to the identification of sybils on online social network platforms. This approach is specifically focused on the use of social network analysis metrics, and specifically network structure in the construction of feature vectors.

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Flint Chenjera

Flint Chenjera is a graduate student at UCT. During the two years of MPhil demographic studies, Flint mastered aspects to do with dealing with demographic incomplete data, handling survey, textual, network, spatial and longitudinal data; using statistical tools such as excel, STATA and R. Flint holds an BSc degree in Statics from University of Zimbabwe and yet to complete an master’s degree in demography at University of Cape Town. His area of study is in family dynamics and child health.

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Aldu Cornelissen

Aldu Cornelissen is a lecturer and PhD candidate at the Department of Information Science at Stellenbosch University. He co-found the Computational Social Science group at Stellenbosch University, and is a member of the Centre of Artificial Intelligence (CAIR). The group’s research focuses on the impact of social media in society by investigating bot interference during political elections in Sub-Sahara Africa. Aldu specialises in Social Network Analysis, specifically individual and group social cognition.

Hailu Debere

Image of Robert Y. Djogbenou

Robert Y. Djogbenou

Robert Y. Djogbenou is a Research Assistant at the Center for Training and Research in Population (CEFORP), University of Abomey-Calavi (Benin). He has a Master in Demography and a Bachelor in Statistics. His research interests span maternal and child health, gender, education and migration.

Judith Donang

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Ahmed Eldud

Ahmed Eldud studied at University of Juba (Sudan) and obtained B.Sc general in Statistis and Population Studies in 2005. He later obtained a B.Sc honours in Statistical Science in 2011 at the University of Western Cape (South Africa) and a M.Sc in Mathematical Statistics in 2016 at Rhodes University (South Africa). Ahmed pursues a Ph.D at the University of the Western Cape since 2016. He works at the devision of the postgraduate studies at the University of the Western Cape as data analysis.

Image of Arlette Simo Fotso

Arlette Simo Fotso

Arlette Simo Fotso got a PhD in Applied Economics. She is currently Postdoctoral Research Fellow at ICAP at Columbia University and at the University of the Witwatersrand. Arlette is involved in the Population-Based HIV Impact Assessments (PHIA) project. The PHIA project is running national surveys in 14 Sub-Saharan African countries plus Haiti to measure the reach and impact of HIV programs. Her research interests are Health, Education and Labour Economic, inequalities, disability, HIV, family and use of big data to assess health issues and migration and their impact in developing countries.

Mbongeni Hlabano

Image of Bunakiye Japheth

Bunakiye Japheth

Bunakiye Japheth is a lecturer of Computer Science at Edo University Iyamho, Department of Computer Science and Mathematics. He received his PhD from the Computer Science Department at University of Port Harcourt Nigeria. His research focused on the application of domain specific modelling approach to modelling engineering designs in the oil and gas transmission pipeline systems. Much of his work is directed at requirements within a particular domain, where the structure and behaviour of the prototype system capturing stakeholders design intents that depict various design scenarios were examined. His research methodology was hinged on Domain Specific modelling of Model Driven Engineering Technologies that tackles complexities in domains through language formalisms that could be beyond the utilization of stakeholders. This language formalism is simply a reusable software layer that can be tailored to any specific domain through requirements engineering for greater stakeholder output.

Benson John

Image of Takwanisa Machemedze

Takwanisa Machemedze

Takwanisa Machemedze is a researcher at DataFirst at the University of Cape Town. He holds a PhD in Sociology and an MPhil in Demography both from the University of Cape Town, and a BSc Hon in Statistics from the University of Zimbabwe. His research interests include demography, remote sensing and small area estimation.

Image of Rornald Kananura Muhumuza

Rornald Kananura Muhumuza

Kananura Rornald Muhumuza is a population health researcher with a background in economics and statistics. He is pursuing his PhD in Demography and Population Studies at London School of Economics and Political Science. He is applying systems thinking analysis approach to understand Child Health and Survival in Uganda. Rornald has experience in designing and implementing Monitoring and Evaluation systems, which he has gained through leading numerous interventions. His research interests are pathway analysis, spatial and small area estimation, forecasting and machine learning, longitudinal and panel data analysis. He is also interested in generating research products that inform appropriate decision-making.

Image of Abdualaziz Mukhtar

Abdualaziz Mukhtar

Abdualaziz Mukhtar holds a Bachelor Honours and a Master Degree in Mathematical Sciences from the University of the Western Cape (UWC) South Africa. He is currently enrolled for a doctoral research degree (Ph.D.) in Mathematical Epidemiology under the Department of Mathematics and Applied Mathematics at UWC. His research approach intended to makes use of statistic inference and covered practical applications of modelling, including predicting the impact of control, interpreting outbreak data and modelling in real-time, fitting models to data.

Image of Alecia Ndlovu

Alecia Ndlovu

Xichavo Alecia Ndlovu is a lecturer in the Political Studies department at the University of Cape Town. She is also completing her PhD in International Relations at Wits University. She holds a BA in International Relations and Applied Economics, as well as an MA (with distinction) in International Relations. Her main research and teaching interests are in political economy of development, politics and governance in Africa, comparative politics and quantitative research methods. Her thesis is entitled “Sustaining the unsustainable? Political institutions and development in sub-Saharan Africa’s resource economies.” It combines cross-national statistical research and fieldwork in four African countries—Ghana, Mozambique, Namibia and Zambia.

Image of Nelly Ruth Nkhoma

Nelly Ruth Nkhoma

Nelly Ruth Nkhoma holds an Honours Degree in Population Studies and is currently studying towards an MPhil in Demography at the University of Cape Town. Her research interests lie in the field of public health specifically in child health and mortality. She has done work in policy research and monitoring and evaluation.

Emmanuel Olamijuwon

Emmanuel Olamijuwon is a lecturer at the University of Swaziland. He is also a PhD candidate in demography and population studies at the University of the Witwatersrand, South Africa. His research adapts computational approaches in assessing the effectiveness of social media-based sexuality education in improving the sexual and reproductive health, knowledge and rights of young adults in Africa. By combining innovative and youth-friendly approaches, he hopes to drive new discussions on the role of digital media in demographic studies. Beside his high-level academic activities, Emmanuel also plays an active role in various interdisciplinary research projects many of which revolve around the social determinants of health, sexual and reproductive health, digital demography as well as the demography of African families. He is the coordinator of the Sexually Healthy and Young [SHY] Adults network (https://shyadult.org/)

Image of Vundli Ramokolo

Vundli Ramokolo

Dr Vundli Ramokolo is Specialist Scientist at the South African Medical Research Council Health Systems Research Unit. She holds a Master of Public Health (Epidemiology) degree from the University of Cape Town and a doctorate from the University of Bergen, Norway. She is an Epidemiologist with a keen interest in (1) the interactions between nutrition and disease, (2) developmental origins of health and disease and (3) the relation between inequalities and health outcomes. She is a co-investigator in the South African prevention of mother-to-child-transmission evaluation (SAPMTCTE) and a Co-PI in a birth cohort assessing the utilisation of the CSG and its link to dietary diversity and child growth. Her current research addresses both the clinical and social determinants of child health outcomes. More specifically, the work assesses the effect of factors at the individual, household and small area level deprivation on birth outcomes in HIV exposed and unexposed infants.

Image of Motlatso Rampedi

Motlatso Rampedi

Motlatso Rampedi is a qualified demographer with an Honours and Master’s degree in Demography & Population Studies from the University of the Witwatersrand (South Africa). She is now pursuing a PhD in Demography at the University of the Witwatersrand. Her interests lie in Health research, with specific focus on Noncommunicable diseases, HIV and sexual and reproductive health. Her PhD thesis is on comorbidities of chronic diseases among the adult population in South Africa. Some of her career highlights include forming part of a team of researchers that conducted research on an HIV prevention vaginal ring for women in four African countries (Malawi, South Africa, Uganda and Zimbabwe) and working on a project to generate demand for voluntary male medical circumcision (VMMC) in South Africa.

Image of Bontle Segobe

Bontle Segobe

Bontle Segobe obtained her Masters in Population studies this year in April and will pursue her PhD in Population studies at University of KwaZulu-Natal from second semester of the year 2018. Her research interests are in drug use amongst youth. In 2014, she obtained her Degree in psychology from University of Johannesburg and later in 2015, obtained her honours in Psychology from University of KwaZulu-Natal. She is currently a research assistant at SARCHI: Economic Development, KwaZulu-Natal.

Image of Stephen Ojiambo Wandera

Stephen Ojiambo Wandera

Stephen Ojiambo Wandera is a Lecturer at the Department of Population Studies, Makerere University. He holds a PhD in Population Studies. He is a graduate of the Consortium for Advanced Research Training in Africa (CARTA). His PhD research focused on “Disparities in access to healthcare among older persons in Uganda”. He holds an MSc. in Population and Reproductive Health and a BSc. in Population Studies. His research focuses on: sexual and gender-based violence, reproductive health; inequalities in health; and inequalities in access to health(care) in Uganda.


As we discussed in our call for applications, we have arranged two types of training prior to the event this summer. Some students have more sophisticated coding skills but little exposure to social science; other students have significant exposure to social science but lack strong coding skills.


The majority of the coding work presented at the 2018 SICSS will employ R. However, you are welcome to employ a language of your choice- such as Python, Julia, or other languages that are commonly used by computational social scientists. If you would like to work in R, we recommend that you complete the following courses within DataCamp, a website that teaches people how to code. Obviously, you only need to complete the classes with material that you would like to learn.

Additional readings will be provided on sub-Saharan Africa perspectives.

If you cannot afford datacamp, check out Chris Bail’s Intro to R slides at http://www.chrisbail.net/p/learn-comp-soc.html

Reading List

Our institute will bring together people from many fields, and therefore we think that asking you to do some reading before you arrive will help us use our time together more effectively. First, we ask you to read Matt???s book, Bit by Bit: Social Research in the Digital Age, which is a broad introduction to computational social science. Parts of this book will be review for most of you, but if we all read this book ahead of time, then we can use our time together for more advanced topics.

Also, for students with little or no exposure to sociology, economics, or political science, we have assembled a collection of exemplary papers in the core areas addressed by the Russell Sage Foundation. Neither your work nor the work we develop together at the institute need map neatly onto these categories, but if those with less exposure to social science read these, we will increase the chances of interdisciplinary cross-pollination, which we view as critical to the future of computational social science.

Future of Work

Behavioral Economics

Race, Ethnicity, and Immigration

Social Inequality

Schedule and materials

Monday June 18, 2018 - Introduction and Ethics

  • 9:00-9:15 Logistics (No livestream)

  • 9:15-10:00 Welcome

  • 10:00-10:45 My journey to Computational Social Science - Vissého Adjiwanou

  • 10:45-11:00 Coffee Break

  • 11:00-12:00 Sustainable Development Goals and CSS - Vissého Adjiwanou

  • 12:00-1:00 Lunch

  • 1:00-3:00 Participants introductive presentation - Guest Speaker and discussion: Gary King

  • 3:00-3:15 Logistics (No livestream)

  • 3:15-3:30 Introduction to computational social science (livestream from Duke)

  • 3:30-3:45 Why SICSS? (livestream from Duke)

  • 3:45-4:00 Introductions (livestream from Duke)

  • 4:00-4:45 Ethics: Principles-based approach (livestream from Duke)

  • 4:45-5:00 Coffee Break

  • 5:00-6:00 Four areas of difficulty: informed consent, informational risk, privacy, and making decisions in the face of uncertainty (livestream from Duke)

Tuesday June 19, 2018 - Collecting Digital Trace Data

  • 9:00-9:15 Logistics (No livestream)

  • 9:15-10:45 Group Exercise on Ethics

  • 10:45-11:00 Coffee Break

  • 11:00-12:00 Marshini Chetty on ethics

  • 12:00-1:00 Lunch

  • 1:00-3:00 Marshini Chetty on Human Computer Interaction (HCI)

  • 3:00-3:15 What is digital trace data? (livestream from Duke)

  • 3:15-3:30 Strengths and weakness of digital trace data (livestream from Duke)

  • 3:30-4:00 Screen-Scraping (livestream from Duke)

  • 4:00-4:15 Break

  • 4:15-5:00 Application Programming Interfaces (livestream from Duke)

  • 5:00-6:00 Apps for Social Science Research (livestream from Duke)

Wednesday June 20, 2018 - Automated Text Analysis

  • 9:00-9:15 Logistics (No livestream)

  • 9:15-10:45 Group Exercise on Digital Trace Data

  • 10:45-11:00 Coffee Break

  • 11:00-12:00 Group Exercise on Digital Trace Data

  • 12:00-1:00 Lunch

  • 1:00-3:00 Guest Speaker and discussion (Video from Duke): Jim Wilson

  • 3:00-3:15 History of quantitative text analysis (livestream from Duke)

  • 3:15-3:30 Strengths and weakenesses of quantitative text analysis (livestream from Duke)

  • 3:30-3:45 Basic Text Analysis/GREP (livestream from Duke)

  • 3:45-4:00 Dictionary-Based Text Analysis (livestream from Duke)

  • 4:00-4:15 Break

  • 4:15-4:00 Topic models and Beyond (livestream from Duke)

  • 4:00-5:00 Ngram Networks (livestream from Duke)

Thursday June 21, 2018 - Surveys

  • 9:00-9:15 Logistics (No livestream)

  • 9:15-10:45 Group Exercise on Text Analysis

  • 10:45-11:00 Coffee Break

  • 11:00-12:00 Local presentation: Tom Moultrie

  • 12:00-1:00 Lunch

  • 1:00-3:00 Guest Speaker and discussion (Video from Duke): Ned Smith

  • 3:00-3:30 Survey research in the digital age (livestream from Duke)

  • 3:30-4:00 Probability and non-probability sampling (livestream from Duke)

  • 4:00-4:15 Coffee break

  • 4:45-6:00 Combining surveys and big data (livestream from Duke)

Friday June 22, 2018 - Mass Collaboration

  • 9:00-9:15 Logistics (No livestream)

  • 9:15-10:45 Group Exercise on Surveys

  • 10:45-11:00 Coffee Break

  • 11:00-12:00 NIDS team, UCT

  • 12:00-12:30 Lunch

  • 12:30-2:00 Guest Speaker and discussion - Ridhi Kashyap (Skype) : Measuring gender inequalities using web data

  • 3:00-3:10 Welcome and schedule (livestream from Duke)

  • 3:10-3:30 Mass collaboration (livestream from Duke)

  • 3:30-3:40 Human computation (livestream from Duke)

  • 3:40-3:50 Open call (livestream from Duke)

  • 3:50-4:00 Distributed data collection (livestream from Duke)

  • 4:00-4:15 Design advice (livestream from Duke)

  • 4:15-4:30 Coffee break

  • 4:30-6:00 Fragile Families Challenge (livestream from Duke)

Saturday June 23, 2018 - Experiments

  • 9:00-9:15 Logistics (No livestream)

  • 9:15-10:45 Group Exercise on Mass Collaboration

  • 10:45-11:00 Coffee Break

  • 11:00-12:00 Vukosi Marivate

  • 12:00-1:00 Lunch

  • 1:00-3:00 Vukosi Marivate

  • 3:00 - 3:15 Welcome and schedule (livestream from Duke)

  • 3:15 - 3:45 What, why, and which experiments? (livestream from Duke)

  • 3:45 - 4:15 Moving beyond simple experiments (livestream from Duke)

  • 4:15 - 4:30 Coffee break

  • 4:30 - 5:15 Four strategies for experiments (livestream from Duke)

  • 5:15 - 5:45 Zero variable cost data and musiclab (livestream from Duke)

  • 5:45 - 6:15 3 Rs (livestream from Duke)

Sunday June 24, 2018 - Day off

Monday June 25, 2018 - training and group project from 2018-06-25 to 2018-06-28

  • 9:00-9:15 Logistics (No livestream)

  • 9:15-10:45 Training with Nick Feamster

  • 10:45-11:00 Coffee Break

  • 11:00-12:00 Exercise from training

  • 12:00-1:00 Lunch

  • 1:00-4:15 Group project

  • 4:15 - 4:30 Coffee break

  • 4:30 - 6:00 Group project

Friday June 29, 2018 - Present final projects

  • Closing dinner

Live Stream

#For those unable to attend in person, we will be live-streaming each day from approximately 9:00am to 5:30pm ET. Group exercises and #some of the visiting speaker’s lectures will not be live-streamed. No registrations will be required to watch the livestream. We will #post addition information about the livestream here once it is avaiable.