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Silberman School of Social Work, Hunter College at the City University of New York
Summer Institute in Computational Social Science Partner Site

June 17th, 2019 - June 28th, 2019

Sponsored by the Russell Sage Foundation & The Alfred P. Sloan Foundation

The Silberman School of Social Work, part of the City University of New York’s Hunter College, will host its second Summer Institute in Computational Social Science partner location from June 17th, 2019 to June 28th, 2019.

SICSS NYC-Hunter is for both social scientists and data scientists interested in broadening their knowledge and usage of computational social science. In particular, this institute targets applied social scientists, practitioners, and scholars who have little to no exposure to computational social science methods and theories. The aim of the SICSS NYC-Hunter institute is to build a cohort of applied social science students, scholars, instructors, and practitioners who can employ computational social science techniques across practice areas and domains.

The program is open to all interested participants, though we will be unable to provide accomodations for those not already living in NYC or the tri-state area. However, we will be able to proivde a modest travel and lodging reimbursement for those who wish to travel from out of town. SICSS NYC-Hunter is sponsored by the Sloan Foundation and the Russell Sage Foundation. It will be hosted at the Silberman School of Social Work, located at E. 119th street and 3rd Ave.

Participants in SICSS NYC-Hunter will gain hands-on experience in working with computational methods including learning programming in R and Python, using version control tools like Github, and applying these tools to applied social science research problems. The curriculum will consist of a combination of livestreamed lectures and tutorials, group activities and exercises. We will cover a broad range of computational research topics from text analysis to digital data collection.

A primary goal of SICSS NYC-Hunter is to bring together applied social science scholars, computer and data scientists, as well as practitioners to share their strengths and enhance each other’s work. Participants will be encouraged to workshop exisiting work, as well as develop new colaborations. There will also be pilot funding avalable.

There is no cost to participate, and meals during the day will be provided. We will make every effort to support attendance with metro cards and child care arrangements, should there be need.

To apply, please submit a short application by March 1st, 2019. View application here

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CUNY logo

Organizers

Maria Y. Rodriguez

is an Assistant Professor at the Silberman School of Social Work, part of the City University of New York’s Hunter College. She is a faculty affiliate at the CUNY Institute for Demographic Research (CIDR), and graduate faculty at the CUNY Grad Center. Her research interests intersect demography, computational social science, housing policy and social welfare. Currently, she has two active areas of research: (1) understanding the impacts of algorithmic decision-making in human services (with particular attention to racially marginalized groups), and (2) using Twitter data to understand the lived experience of marginalized communities in the United States. She can be found on Twitter @HousingTheCity.

Local Speakers

Josh Raines

Josh Raines is the Assistant Director of the Social Science Research Center at Ball State University. He has conducted practical and community-based research in local, state, national, and international settings for more than 20 years. Currently, he has designed a virtual reality (VR) simulation program that introduces/reinforces practice skills for social work students and human service trainees. Additionally, the simulation software collects research data by compiling various behavioral-level indicators from users. His current research examines the role of client race and implicit associations on users’ assessments of risk and protective factors during virtual home visit activities.

Desmond Patton

Desmond Upton Patton is a Public Interest Technologist who is a pioneer in the use of social media and artificial intelligence in the study of gun violence and coined the term Internet Banging. Dr. Patton is the founding Director of the SAFElab and Associate Professor of Social Work, Sociology and Data Science at Columbia University. He is the recipient of the 2018 Deborah K. Padgett Early Career Achievement Award from the Society for Social Work Research (SSWR) and 2017-2018 Fellow at Harvard’s Berkman Klein Center for Internet and Society. He is a Presidential Leadership Scholar and Technology and Human Rights Fellow at the Carr Center for Human Rights at Harvard Kennedy School. His worked is featured in the A&E show: Secret Life of a Gang Girl: The Untold Story. Dr. Patton studies the ways in which gang involved youth conceptualize threats on social media, and the extent to which social media shapes and facilitates youth and gang violence. In partnership with the Data Science Institute, he is developing an online tool for detecting aggression in social media posts. Dr. Patton’s research on “internet banging” has been featured in the New York Times,Chicago Tribune, USA Today, NPR, Boston Magazine, ABC News, and Vice. It was cited in an Amici Curae Brief submitted to the United States Supreme Court in Elonis v. United States, which examined the interpretation of threats on social media.

Melanie Sage

Melanie Sage, PhD, MSW, is an Assistant Professor at the University at Buffalo School of Social Work. She is a co-chair of the American Academy of Social Work and Social Welfare’s Grand Challenge: Harnessing Technology for Social Good. She chairs the international Human Services Information Technology Association (husita.org), a non-profit organization which oversees the publication Journal of Technology and Human Services. Her research is focused at the intersection of technology and child welfare, and she is especially interested in how technology can be leveraged to support positive outcomes for foster youth.

Lauri Goldkind

Lauri Goldkind, PhD, MSW, is an Associate Professor at Fordham University’s graduate School of Social Service. Dr. Goldkind has a longstanding interest and practice background in nonprofit leadership, capacity building, and organizational development. At Fordham she teaches across the foundation and advanced years. Her practice experience has been centered in the youth development, education, and juvenile justice realms. Prior to joining the faculty, she served as the Director of New School Development and the Director of Evaluation at The Urban Assembly (UA), a network of new specialized public schools located in the Brooklyn, the Bronx and Manhattan. At UA she supported principals through the new school process, helping them earn start-up grants valued at over $500,000 per school; additionally, she provided technical assistance to principals and school-based staff on data-driven decision making, development and maintenance of data management structures and the effective use of data to improve student achievement. She has had the privilege of working with youth in NYC at organizations such as CASES, the Posse Foundation and the DOME Project.

Richard Smith

Richard Smith has been using computational social science methods for over a decade to study sustainable community development, poverty, inequality, and migration. He is an experienced R user and also has advanced training in Geographic Information Systems with a little bit of exposure to Python. He has experience with the following methods: HLM, spatial regression, spatial filtering with eigenvectors, sequence analyses, Bayesian model averaging, quasi-experimental design with matching using machine learning, survival analysis, longitudinal data analysis, and count data models. He has published research on technology in human services, age friendly communities, ecocity mapping, neighborhood change and gentrification. He is currently part of a multidisciplinary, tri-campus, 4 year, $1.5 million National Science Foundation project that will investigate communication between water and health systems about water disruptions and how they engage the community to promote resilience.

Teaching Assistants

Image of Gleneara Bates-Pappas

Gleneara Bates-Pappas

Gleneara E. Bates-Pappas, LMSW, is currently working on her PhD at CUNY Graduate Center. Her doctoral research explores the environmental risk factors for lung cancer mortality among racially ethnic minorities living in New York. Her current research projects aim to elucidate the bio-physiological aspects of tumor resistance in response to chemotherapy and the use of telemedicine to improve quality-of-life and cognitive function in post-treatment cancer survivors, in addition to exploring ways to use virtual and augmented reality to reduce anxiety during treatment of oncology patients. She is currently an American Cancer Society doctoral fellow and CUNY Graduate Center Provost pre-dissertation fellow.

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Sebastian Hoyos-Torres

Sebastian Hoyos-Torres is a Criminal Justice PhD student at the CUNY Graduate Center/John Jay College. He earned his Bachelor of Arts in Criminology at Le Moyne College in Syracuse NY. In his studies, he is particularly interested in the spread of data analytics within the criminal justice system. This includes examining the use of risk assessment tools within the criminal justice system and racial bias. Additionally, Sebastian is interested in looking at social movements on Twitter and how they are portrayed differently across different groups across the web.

Participants

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Angelo Cabrera

Angelo Cabrera is the Founder and a Board of Director of Masa-MexEd Inc. and Founding Board Member of the American Dream Charter School in the South Bronx. He has an extensive track record creating and promoting educational programs for the recent immigrant community in New York City, as well as returning migrants to Mexico. He is currently managing a research project at the Marxe School of Public and International Affairs-Baruch College.

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Anne Kou

Anne is a PhD student in the Department of Sociology at New York University. Her research interests include inequality, race/ethnicity, gender, and social policy. She is working on collaborative projects examining the relationship between childhood experiences and socioeconomic attainment, and early childhood education in New York City.

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Carrie Hamilton

Carrie Hamilton is a program assistant for the Social Data Initiative at the Social Science Research Council. Prior to joining the SSRC, she worked as a research technician at the Center for the Study of Adolescent Risk and Resilience at Duke University. She graduated with highest honors from UNC Chapel Hill in 2017 with a BS in environmental science and geography. At UNC, she conducted independent research projects through the National Science Foundation and Ernest F. Hollings Scholarship Program and spent a year living and working in Ecuador through UNC’s Global Gap Year Fellowship.

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Daejun Park

Daejun Park is a Ph.D. candidate in social work at University at Albany. His research interests include alcohol and other drug use, as well as health disparities. He has served as a research assistant at UAlbany.

Image of Diane Yoong

Diane Yoong

Diane (they/them) is currently a graduate student in Critical Social/Personality and Environmental Psychology at the CUNY Graduate Center. Broadly, their work is on understanding the relationality between systems of oppression (e.g. racism, homo- or trans-phobia) and the individual. Outside of academia, they are busy with creating a digital webspace for queer Asians in North America (hopefully broader!), and exploring the binaries that seem to divide academic work production and creative work.

Image of Feng-Yi Liu

Feng-Yi Liu

Feng-Yi Liu received his BA and MA degree in Social Welfare at National Chung Cheng University in Taiwan. He also completed a second MA at Columbia University in Mathematical Statistics. Now he is a Ph.D. candidate in the school of social work at Rutgers University, and a graduated statistician recognized by the American Statistics Association. His broad research interests include immigrant family and child development, American immigration policy, and American child care policy. His dissertation thesis focuses on how family instability and child welfare interventions might influence child development among low-income immigrant children.

Image of Friederike Windel

Friederike Windel

Friederike Windel is a PhD student in the Critical Social and Personality Psychology program at the CUNY Graduate Center. Her research focuses on how white Germans position themselves in relationship to Germans of color and people of color in Germany. She uses narrative research to explore positionality and currently examines how white German volunteers construct themselves in relationship to refugees.

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Hannah Szlyk

Hannah is currently a NIMH T32 postdoctoral research scholar at The Brown School at Washington University in St. Louis. Hannah earned her doctoral degree in social work at the Steve Hicks School of Social Work at the University of Texas at Austin in May 2018. There, Hannah studied suicidality among minority and underserved youth. Her dissertation consisted of a mixed methods project that examined suicidal ideation, sexual and ethnic identity, external stressors, and academic progress among students attending a public alternative high school. Hannah is currently exploring the evidence base and implementation of technology-enhanced interventions for youth suicidality. She is specifically interested in understanding who uses text-based message hotlines to address suicidality and how these crisis interventions can be better adapted for hard-to-reach and minority youth populations. Hannah would also like to gain skills in computational science in order to analyze large-scale datasets and hotline conversations. Hannah enjoys practicing yoga, traveling, and spending time with her partner and their four cats.

Image of Jiyeon (Siyeona) Chang

Jiyeon (Siyeona) Chang

Jiyeon (Siyeona) Chang is a student in Columbia’s PhD program in Sociology, where she studies the consequences of global economic inequality on cultural and artistic diversity. She is interested in how the dynamics of cultural production and consumption are shaped by inequality engendered by the structural transformation and globalization of economies, and what this tells us about how we construct cultural and artistic boundaries. She is also increasingly interested in how automation-induced changes in the labor market shape the meaning of work, and how we think about innovation and creativity. Prior to coming to Columbia, she worked as an economist and policy analyst on issues related to international trade and global value chains at the United Nations (FAO), Organization for Economic Cooperation and Development (OECD), and the World Bank.

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Jon Phillips

Jon Phillips is a PhD student in the School of Social Work at the University of North Carolina - Chapel Hill. He is involved in mental health services research using health care databases as well as intervention research aiming to improve services for incarcerated individuals with mental illness.

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Kasey Zapatke

Kasey is a third-year doctoral student in Sociology at The Graduate Center (CUNY). He is broadly interested in urban inequality, and specifically focuses his research on housing inequality, residential segregation, affordable housing, neighborhood change, gentrification, and suburbanization. Kasey is working on developing a dissertation project that looks at how neighborhood patterns of inequality and residential segregation shape spatial patterns of neighborhood affordability for the middle class.

Image of Maya Godbole

Maya Godbole

Maya is going on her 5th year in the Basic and Applied Social Psychology PhD program at CUNY Graduate Center. Maya’s research focuses around understanding, and intervening against, factors that contribute to disparities in the representation and achievement of women in competitive contexts (e.g., leadership). She is particularly interested in using social psychological research to inform policy and practice within organizations—for example, her dissertation research investigates how sex discrimination policy can impact women’s perceptions of organizational climate, motivation, and achievement. In her free time, Maya likes running around Prospect Park, doing/attempting the NYTimes Crossword, and reading.

Image of Nga Than

Nga Than

Nga Than is a Ph.D student in the Sociology program at City University of New York – The Graduate Center. Her research interests are in entrepreneurship, work, immigration, and consumption. She is in the process of writing a dissertation proposal, focusing on how technological advancement changes work relations in contemporary work place. She was born and raised in Vietnam, then moved to the U.S. for higher education. She is fluent in Vietnamese, English, German, as well as conversant in Chinese.

Image of Pedro Rodriguez

Pedro Rodriguez

Pedro Rodriguez Martinez is a Research Fellow at the Research Department of the Inter-American Development Bank (IDB). His areas of interest include the evaluation of social programs within the developing world and the economics of gender violence, education and crime. Prior to joining the IDB he worked in Miami and Ecuador as a consultant performing statistical data analysis. He holds a BA in Political Economy and an MSc in Economics.

Image of Salar Khaleghzadegan

Salar Khaleghzadegan

Salar Khaleghzadegan is pursuing a Master of Public Policy with a concentration in Health Policy at the University of Maryland Baltimore County and is a Research Coordinator at the Johns Hopkins Medicine Armstrong Institute for Patient Safety and Quality. He is currently exploring research focused on understanding how to improve equitable access, quality, and outcomes of care with an emphasis on maintaining cost-effectiveness through high-value care. One of his current projects uses textual analysis to examine healthcare documents using NLP methods. Another project studies the linguistic and paralinguistic features of patient-provider communication to assess how these dynamic interactions drive outcomes (i.e. compliance with complex care regiments; patient experiences of respect, dignity, and satisfaction with care). This fall, he will be applying to doctoral programs in Health Policy and Management, where he hopes to focus on health services research while integrating emerging quantitative and computational methods such as machine learning, causal inference, and automated text analysis.

Image of Sapir Soker Elimaliah

Sapir Soker Elimaliah

Sapir Soker Elimaliah, is a doctoral student in the developmental psychology program at the City University of New York, College of Staten Island. Prior to their Ph.D studies, Sapir owned a clinic for Applied Behavior Analysis therapy and worked with toddlers with autism. Sapir’s research interests focus on motor development in autism and specifically restricted and repetitive behaviors. Sapir is also interested in the physiological markers of restricted and repetitive behaviors in autism.

Image of Sarah Riley

Sarah Riley

Sarah Riley is a PhD student in information science at Cornell University, where she is focusing on bias in automated decision-making systems. She is interested in computational methods and policy interventions for identifying and mitigating bias. Sarah has a bachelor’s degree from Amherst College and a master’s in public policy from the University of California, Berkeley.

Image of Shashi Goel

Shashi Goel

Shashi Goel is specialized in Political Science and Women’s and Gender studies. She has done research in many areas in Political Sociology, International relations, Women’s studies and Human Rights, Migration. She is currently working as Honorary Fellow in the Center for Women and Gender studies at University of Wisconsin. Previously she has worked as visiting faculty at Qatar University.

Image of Tim Ittner

Tim Ittner

Tim Ittner is a Ph.D. student in the Department of Sociology at Columbia University. Before arriving at Columbia, he graduated from Brown University in May 2018 with an Sc.B. with Honors in Social Analysis & Research. Tim has a penchant for interdisciplinary work and using innovative data, methods, and designs in his research. His interests revolve around population geography, spatial demography, and inequality dynamics.

Image of Zoe Carey

Zoe Carey

Zoe Carey is a PhD Candidate in sociology at The New School for Social Research. She is interested in the impact of data-driven technologies on organizations and issues of expertise and accountability in algorithmic decision-making. Her dissertation addresses these questions in the field of policing. By tracing algorithmic assemblages from creation to implementation across private and public sectors, her project will map the social life of a predictive policing algorithm. Zoe has worked as a Teaching Fellow, Associate Editor, and Research Assistant at The New School, and she served on the SENS-UAW bargaining committee as the union of academic student workers negotiated their first contract with the university.

Pre-arrival

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 coding skills.

Coding

The majority of the coding work presented at the 2019 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 free RStudio Primers, which can be supplemented by the open access book R for Data Science by Garrett Grolemund and Hadley Wickham. RStudio Primers cover 6 topics: The Basics, Working with Data, Visualize Data, Tidy Your Data, Iterate, and Write Functions. If you already feel comfortable with these topics (either in R or some other language), then you do not need to complete these Primers.

If you would like more practice after completing the RStudio Primers, some other materials that we can recommend are:

R for Social Science, Data Carpentry.

Introduction to R for Social Scientists, Taught by Charles Lanfear at University of Washington. This course includes videos of lectures, slides, and assignments.

Learn R, Code Academy.

Reading List

The Summer 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 (Read online or purchase from Amazon, Barnes & Noble, IndieBound, or Princeton University Press), 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

- This is a living schedule and may be subject to change.

Monday June 17, 2019 - Introduction and Ethics

  • 8:30 - 9:00 Welcome & Breakfast (Not open to public/No livestream)

  • 9:00 - 9:25 Introductions (Not open to public/No livestream)

  • 9:30 - 10:00 Introduction to Computational Social Science

  • 10:00 - 10:30 Why SICSS?

  • 10:30 - 10:45 Coffee Break

  • 10:45 - 11:30 Ethics: Principles-based approach

  • 11:30 - 12:15 Four areas of difficulty: informed consent, informational risk, privacy, and making decisions in the face of uncertainty

  • 12:15 - 12:30 Introduction to the group exercise

  • 12:30 -1:30 Lunch (Not open to public/No livestream)

  • 1:30 - 3:45 Group exercise (Not open to public/No livestream)

  • 3:45 - 4:00 Break

  • 4:00 - 5:30 Guest speaker: Dr. Josh Raines

  • 5:30 - 6:30 Refreshments and Discussion

Tuesday June 18, 2019 - Collecting Digital Trace Data

  • 8:30 - 9:00 Welcome, Breakfast & Logistics (Not open to public/No livestream)

  • 9:15 - 9:30 What is digital trace data?

  • 9:30 - 9:45 Strengths and weakness of digital trace data

  • 9:45 - 10:15 Screen-Scraping

  • 10:15 - 10:30 Coffee Break

  • 10:30 - 11:00 Application Programming Interfaces

  • 11:00 - 12:30 Building Apps and Bots for Social Science Research

  • 12:30 - 1:30 Lunch (Not open to public/No livestream)

  • 1:30 - 3:45 Group Exercise (Not open to public/No livestream)

  • 3:45 - 4:00 Break

  • 4:00 - 5:30 Guest speaker: Dr.Desmond Patton

  • 5:30 - 6:30 Refreshments and Discussion

Wednesday June 19, 2019 - Automated Text Analysis

  • 8:30 - 9:15 Welcome, Breakfast & Logistics (Not open to public/No livestream)

  • 9:15 - 9:30 History of quantitative text analysis

  • 9:30 - 9:45 Basic Text Analysis/GREP

  • 9:45 - 10:00 Dictionary-Based Text Analysis

  • 10:00 - 10:15 Coffee Break

  • 10:15 - 11:15 Topic models/Structural Topic Models

  • 11:15 - 11:20 Break

  • 11:20 - 12:30 Text Networks

  • 12:30 - 1:30 Lunch (Not open to public/No livestream)

  • 1:30 - 4:00 Group Exercise (Not open to public/No livestream)

  • 4:00 - 5:30 Guest speaker: Streamed from Main Site

  • 5:30 - 6:30 Refreshments and Discussion

Thursday June 20, 2019 - Surveys in the Digital Age

  • 8:30 - 9:15 Welcome, Breakfast & Logistics (Not open to public/No livestream)

  • 9:15 - 9:45 Survey research in the digital age

  • 9:45 - 10:15 Probability and non-probability sampling

  • 10:15 - 10:30 Coffee break

  • 10:30 - 11:00 Computer-administered interviews and wiki surveys

  • 11:00 - 11:30 Combining surveys and big data

  • 11:30 - 12:00 Group exercise introduction

  • 12:00 - 12:30 Begin group exercise

  • 12:30 - 1:30 Lunch (Not open to public/No livestream)

  • 1:30 - 3:15 Continue group exercise (Not open to public/No livestream)

  • 3:15 - 3:45 Discuss activity and open-source data

  • 3:45 - 4:00 Break

  • 4:00 - 5:30 Guest speaker: Dr. Melanie Sage

  • 5:30 - 6:30 Refreshments and Discussion

Friday June 21, 2019 - Mass Collaboration

  • 8:30 - 9:15 Welcome, Breakfast & Logistics (Not open to public/No livestream)

  • 9:15 - 9:30 Mass collaboration

  • 9:30 - 9:45 Human computation

  • 9:45 - 10:00 Open call

  • 10:00 - 10:15 Distributed data collection

  • 10:15 - 10:30 Coffee break

  • 10:30 - 11:30 Introduction to the Fragile Families Challenge

  • 11:30 - 12:30 Working on the Fragile Families Challenge (Not open to public/No livestream)

  • 12:30 - 1:30 Lunch (Not open to public/No livestream)

  • 1:30 - 3:30 Fragile Families Challenge (Not open to public/No livestream)

  • 3:30 - 3:45 Discussion of the Fragile Families Challenge (Not open to public/No livestream)

  • 3:45 - 4:00 Break

  • 4:00 - 5:30 Guest speaker: Stream from Main site

  • 5:30 - 6:30 Refreshments and Discussion

Saturday June 22, 2019 - Day Off

Sunday June 23, 2019 - Day Off

Monday June 24, 2019 - Experiments

  • 8:30 - 9:15 Welcome, Breakfast & Logistics (Not open to public/No livestream)

  • 9:15 - 9:30 What, why, and which experiments?

  • 9:30 - 9:45 Moving beyond simple experiments

  • 9:45 - 10:15 Four strategies for experiments

  • 10:15 - 10:30 Coffee break

  • 10:30 - 11:00 Zero variable cost data and musiclab

  • 11:00 - 11:15 Break

  • 11:15 - 12:15 3 Rs

  • 12:15 - 12:30 Logistics (Not open to public/No livestream)

  • 12:30 -1:30 Lunch (Not open to public/No livestream)

  • 1:30 - 3:45 Work on Group Projects (Not open to public/No livestream)

  • 4:00 - 5:30 Guest speaker: Dr. Richard Smith

  • 5:30 - 6:30 Refreshments and Discussion

Tuesday June 25, 2019 - Work on group projects

  • 8:30 - 9:00 Welcome, Breakfast & Logistics (Not open to public/No livestream)

  • 9:00 - 12:15 Work on Group Projects (Not open to public/No livestream)

  • 12:30 -1:30 Lunch adn Flash Talks (Not open to public/No livestream)

  • 1:30 - 3:45 Work on Group Projects (Not open to public/No livestream)

  • 4:00 - 5:30 Guest speaker: Dr. Lauri Goldkind

  • 5:30 - 6:30 Refreshments and Discussion

Wednesday June 26, 2019 - Work on group projects

  • 8:30 - 9:00 Welcome, Breakfast & Logistics (Not open to public/No livestream)

  • 9:00 - 12:15 Work on Group Projects (Not open to public/No livestream)

  • 12:30 -1:30 Lunch and Flash Talks(Not open to public/No livestream)

  • 1:30 - 4:00 Work on Group Projects (Not open to public/No livestream)

Thursday June 27, 2019 - Work on group projects

  • 8:30 - 9:00 Welcome, Breakfast & Logistics (Not open to public/No livestream)

  • 9:00 - 12:15 Work on Group Projects (Not open to public/No livestream)

  • 12:30 -1:30 Lunch and Flash Talks (Not open to public/No livestream)

  • 1:30 - 4:00 Work on Group Projects (Not open to public/No livestream)

Friday June 28, 2019 - Present group projects

  • 8:30 - 9:00 Welcome, Breakfast & Logistics (Not open to public/No livestream)

  • 9:00 - 12:15 Work on Group Projects (Not open to public/No livestream)

  • 12:30 -1:00 Lunch (Not open to public/No livestream)

  • 1:00 - 4:30 Present group projects (Not open to public/No livestream)

  • 4:30 - 6:00 Closing Reception