ÌÇÐÄvlog¹ÙÍø

Library & Research Services supports ÌÇÐÄvlog¹ÙÍø community members throughout all stages of the research data lifecycle, including planning, active research, and dissemination. Our Research & Data Services team has robust expertise in the following areas:

Research Support

We can help you do everything from finding, collecting, cleaning, and visualizing data to using programming and software tools. Whether you need recommendations on which data repositories are relevant for your research or are looking for help de-bugging your code, we’re very happy to work with you. We can also advise on using and researching artificial intelligence (AI).

Research Data Management & Data Safety

We manage the data safety process for all ÌÇÐÄvlog¹ÙÍø researchers, including faculty and MPP students writing their PAEs. If you’re collecting quantitative or qualitative data, we can help you acquire, store, and share that data in an ethical, legal, and effective way.

Get Research & Data Support
 

Make an appointment with a Research & Data Librarian for in-depth support on your project.

 

Attend a workshop, event, or support session to build your skills working with data.

 

Contact the Research & Data Services team with your data-related questions.

 

Explore Harvard Library’s large selection of statistics and datasets on a wide range of topics in the social sciences.

 

There are several locations across Harvard’s campus where you can access software and hardware for data analysis.

 

Anyone collecting data as part of research or coursework at ÌÇÐÄvlog¹ÙÍø must follow appropriate protocols.

 

MPP and MPA/ID students working on PAEs and SYPAs can make appointments with CAs for expert support on quantitative and qualitative methods.

 

Consult our guide to Data Resources for ÌÇÐÄvlog¹ÙÍø Affiliates for even more support resources and data guidance.

Since 2018, Data + Donuts has featured researchers and practitioners speaking on how they use data in their work and on issues of data and society. Below is a comprehensive list of past speakers. Speaker information is accurate for the time of their presentation. Event recordings are available upon request. Find upcoming Data + Donuts events.

Spring 2025

  • Kathy Pham, product leader and Adjunct Lecturer in Public Policy at ÌÇÐÄvlog¹ÙÍø, on data bias, algorithmic justice, and public policy.
  • , PhD Candidate in Health Policy at Harvard University, on choice, competition, and regulation in Medicare Advantage with a focus on Special Needs Plans (SNPs).
  • , Strategic Engagement Manager at the Massachusetts Executive Office of Technology Services and Security, on her award-winning Policy Analysis Exercise (PAE), “

Fall 2024

  • at the Harvard Data Science Initiative hosting R lightning talks. , including talks by:
    • , PhD candidate in Health Policy & Economics at Harvard University, on a difference-in-difference analysis of the effect of default enrollment of persons eligible for Medicare and Medicaid.
    • , Software Developer at the , on a new R package from CORI that simplifies access to Federal Communication Commission (FCC) broadband data, making it easier to map and analyze connectivity nationwide.
    • , PhD candidate in Biostatistics at the Harvard T.H. Chan School of Public Health, on using to create maps and using the to create great tables.
  • Daniel Keating Jr.  and Mira Yu, former Emerging Technology Fellows in the City of Boston’s , on building a digital translation feature for the 311 app to enhance language access for constituents.
  • , Senior Research Associate at the , on how city governments can improve the health and safety of neighborhoods by leveraging data, collaboration, and innovation.
  • Teddy Svoronos, Senior Lecturer of Public Policy at ÌÇÐÄvlog¹ÙÍø, on teaching .
  • , , on algorithmic tools for participatory democracy.

Spring 2024

  • , Dataverse Development Project Manager at the at Harvard University, on the .
  • at the Harvard Data Science Initiative hosting R lightning talks. , including talks by:
    • , Statistical Geneticist at the Center for Computational Biomedicine at Harvard Medical School, on an NHANES+Stan Docker image.
    • Sam Kuhn, Economist at Appcast, on how to save hours of time with parameterized Quarto reports.
    • Sarah Hirsch, Research Analyst at Stanford Department of Public Health, on using for efficient programming.
    • Robert Sucsy, Epidemiologist at the Rhode Island Department of Health, on using and to create choropleth maps of U.S. Census data.
  • , Research Director at (Bloomberg Center for Cities at Harvard), on using insights from behavioral science to improve government service delivery.
  • , PhD Candidate in Sociology at Harvard University, on the process of creating machine learning models for healthcare and the organizational tensions influencing the process.

Fall 2023

Spring 2023

  • , Postdoctoral Research Fellow at the Program in Criminal Justice Policy and Management at ÌÇÐÄvlog¹ÙÍø’s Malcolm Wiener Center for Social Policy, on the limits of relying on administrative data alone to understand people’s lived experiences in the criminal legal system.
  • , Statistical Data Analyst at Harvard T.H. Chan School of Public Health, on his work with the . .
  • , Professor of Public Policy at ÌÇÐÄvlog¹ÙÍø, on access and equity in college admissions.

Fall 2022

  • Development & Design Team (Annie White, Steven Geofrey, Brendan Leonard, and Nil Tuzcu) on visualizing economic data with and the .
  • Courtney Hall, Director for Impact Assessment and Evaluation at the , on maximizing imperfect data for decision-making.
  • Reva Dhingra, Post-Doctoral Fellow in the Foreign Policy program at the Brookings Institution, on how quantitative and qualitative methods complement each other in her research on the politics of refugee-related aid in Jordan.
  • , PhD candidate in Sociology at Harvard University, on experimental and survey approaches for understanding the structures of American hierarchy.
  • (Senior Research Associate) and (Research Analyst), , on rental market trends during the COVID-19 pandemic. More on Whitney and Sophia’s work:
    • (2022)

Spring 2022

  • , Health & Human Rights Fellow at the , on the under-counting of deaths in U.S. police custody. More on Justin’s work:
    • (PLOS Medicine, 2017)
    • (Mother Jones, 2020)
    • (New York Times, 2021)
  • Amanda Hallock, Digital Transformation Specialist at the City of Scranton and MPP 2020, on digital transformation in smaller U.S. cities.
  • Stephen Leonelli, LGBTQI+ policy expert and MPP 2016, on data-driven program design for LGBTQI+ inclusive policy.
  • , author of the newsletter and MPA 2021, on data visualizations of U.S. inequality.

Fall 2021

  • (Professor of Anthropology and Director of the ) and (Associate Professor in the W.E.B. Du Bois Department of Afro-American Studies at UMass Amherst) on their co-edited book .
  • , Postdoctoral Fellow at the Belfer Center’s , on innovative research methods for the political economy of development.
  • , Technology & Human Rights Fellow at the Carr Center, on “The Power of Choosing Not to Build: Justice, Non-Deployment, and the Purpose of AI Optimization.â€

Spring 2021

  • Charles Amuzie, Digital Director at , on CoC’s data equity work around the 2020 Census and beyond.
  • , Racial Justice Research & Program Manager at and Critical Data & AI Equity Director at Feminist.AI, on data science for intersectional economic equity.
  • PhD Candidate & Adjunct Professor at NYU’s Silver School of Social Work, on using qualitative methods to amplify the narrative voices of marginalized youth in the foster care system.

Fall 2020

  • Melissa Jones, member of the , on data visualization of socioeconomic and health disparities within marginalized communities during COVID-19.
  • , PhD Candidate in Political Science at University of Toronto, on digital identification data in Africa and its encounters with global finance practices.
  • Khahlil Louisy, President of the and Technology & Human Rights Fellow at the Carr Center, on data-informed COVID policy design regarding the pandemic’s disproportionate impact on marginalized communities.
  • , Fellow at the and Technology & Human Rights Fellow at the Carr Center, on using indigenous ethical models to create an equitable internet.
  • Jennifer Pierre, UX Researcher and PhD, on data-centered participatory research design and epistemic burden.

Spring 2020

  • , Researcher at the Shorenstein Center’s , on using data to study information controls.
  • Jennifer Weintraub and Pablo Morales Henry, , on archiving social media & movement data.

Fall 2019

  • Steph Nguyen, Research Scientist at the , on data literacy and privacy.
  • , Community Engagement Librarian at ÌÇÐÄvlog¹ÙÍø Library & Research Services, on smart cities and participatory planning.
  • Matt Smith, Principal Data Scientist with the City of Boston, on civic data.
  • Annie White, Senior Product Manager at the at ÌÇÐÄvlog¹ÙÍø, on using data to inform sustainable economic development.

Spring 2019

  • , Technology Fellow with the ACLU of Massachusetts, on data-driven advocacy.
  • L. Kelly Fitzpatrick, Open Access and Digital Collections Specialist, on Harvard Library Innovation Lab’s .
  • Padmashree Gehl Sampath and Paola Ricaurte, , on reclaiming the data commons.
  • , Researcher at the , on open data, surveillance, and humanitarian aid.

Fall 2018

  • Yaso Cordova, Research Fellow at digitalÌÇÐÄvlog¹ÙÍø.
  • , , on data and algorithmic justice.
  • , Data Science Postdoctoral Fellow at the .
  • , Research Fellow at digitalÌÇÐÄvlog¹ÙÍø.
Contact Research & Data Services
Need research support, or guidance on data safety? Contact the Research & Data Services team.