Data Collection Methods
Dr. Linda Bloomberg explains ways to choose datacollection methods while aligning with the selected qualitative methodology.
Sage Books about Quantitative Data Analysis with R
Learn about R and find books about using this language and environment for statistical computing and graphics.
SICSS-Howard/Mathematica Alumni Receive 2022 Excellence in Computational Social Science Research Awards
At SICSS-Howard/Mathematic 2022 two group projects and five individual projects received the Inaugural Excellence in Computational Social Science Research Award.
Who is in my classroom and why does it matter for teaching research methods?
Why does identity matter in the methods classroom?
Build good practice in reporting Thematic Analysis recording & resources
In this webinar, Virginia Braun and Victoria Clarke, the authors of award-winning textbook Thematic Analysis: A Practical Guide, explore good practices in reporting thematic analysis (TA) - particularly for the reflexive TA approach they have developed.
Bridging the Diversity Gap in Biomedical Research: Physicians and Biomedical Scholars discuss the need for Diversity and Interdisciplinary Collaboration In Research.
At SICSS-H/M 2022, Anthony Wutoh, Yahya Shaikh and Carter Clinton discussed how to bridge the diversity gap in biomedical research and the need for interdisciplinary collaboration.
Q3 on Methodspace Will Focus on Data Analysis
Q3 of 2023 is dedicated to understanding how to analyze data. Look at the big picture in this introductory post.
Research Ethics and Integrity during Global Crisis
What ethical research practices are needed in a time-pressured crisis - such as the pandemic we have so recently experienced? These are questions the PREPARED team is tackling. Watch the livestream of the recent meeting in Paris.
SICSS-Howard/Mathematica Alumni Legacy Teaching Fellow Talks about Carrying the Light and Restorative Spaces
Rashun Miles discusses his experience returning to SICSS-Howard/Mathematica as an alumni and the larger need for restorative spaces for Black students in every university.
From Q2 to Q3: Data Collection to Data Analysis
Q2 has come to a close. Find the entire set of posts about data collection and other important topics here.
Laverne H. Council, Global Operations And Information Technology Strategist and Mathematica Board Member, Delivers Riveting Address to Close SICSS-Howard/Mathematica 2022
LaVerne H. Council spoke at the Closing Plenary of SICSS/Howard-Mathematica 2022, emphasizing the importance of seeking wisdom and truth through data and fair & effective policymaking.
Modern-Day Data Collection: Entering the Post-Pandemic Era
Learn about ethics and consent for online research from the perspective of an institutional review board member.
Dr. Trena Paulus on the Fulbright Experience
Dr. Trena Paulus and Professor Joanna Pawelczyk discuss their experiences with a Fulbright residency at Adam Mickiewicz University, Poznań, Poland.
Let’s Discuss Intellectual and Academic Freedom
To explore the ways current pressures influence decisions, the editor and contributors to a special issue of Qualitative Inquiry, “Higher Education in the Time of Trump and Beyond: Resistance and Critique” participated in an online roundtable discussion.
Collaborative Autoethnography and Duoethnography
Find examples of ethnographic research conducted by more than one scholar.
Paula Moreno, Youngest Minister of Culture of Colombia and Afro-Colombian Trailblazer Delivers Inaugural SICSS-Howard/Mathematica Motivational Address
Paula Moreno, founder of Manos Visibles & first Afro-Colombian woman to serve as Minister of Culture of Colombia, delivered the first SICSS-Howard/Mathematica Motivational Address, focused on the technological challenges and solutions for Africans and people of African descent around the world.
When you are the researcher and the participant with autoethnography
What does it mean to be central to your research? In this post we are defining a method that asks researchers to be at the center of their studies, and looking for explanations and examples of autobiography.
Understanding Algorithmic and Societal Bias: Scientists and Advocates Discuss Data and Blackness
Speakers at SICSS-Howard/Mathematica 2022 explore how change does not affect populations equally, and how the exclusion of underrepresented communities can perpetuate social injustice.
SICSS-Howard/Mathematica’s Bite-Sized Lunchtime Talks Showcase Leading Voices in Data Science
Bite-Sized Lunchtime Talks (BSLT) are a SICSS-Howard/Mathematica site-specific innovation that introduces participants to organizations doing cool things with data. 2022 offered a variety of organizations that proved interesting and inspiring to our participants.