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AEA365 Contributor, Curated by Elizabeth DiLuzio

Tech TIG Week: How Will Evaluators Work with Blockchain? by Michael Cooper

Greetings.  I’m Michael Cooper and I am a Principal Expert with Integrity Global.  I work with groups like the Pulte Institute at Notre Dame, CALS Global at Virginia Tech and the UKAID Frontier Tech Hub on how, as researchers and evaluators, we can measure the value-add of using a blockchain and how we can use …

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Tech TIG Week: Supporting Data Analytics with Google BigQuery by Wai Lam Wong

Hi everyone, my name is Wai Lam Wong and I’m an information systems analyst at a community health organization in California. My academic background is in computational social sciences and I’m always looking for ways to leverage technology for social impact. This post is about using Google BigQuery to enable a small nonprofit’s project team …

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Tech TIG Week: Lessons Learned when Implementing an Electronic Health Record in Behavioral Health by Amanda Zwirecki

Hello AEA 365! I’m Amanda Zwireki, I am the Director of Evaluation at a Certified Community Behavioral Health Center (CCBHC) in New York State. I played an integral role in a multi-year organization-wide effort to improve how we capture behavioral health data to support the highest level of care and data-driven decision making. I would …

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Tech TIG Week: Exploring the Potential of Automated Qualitative Coding by Vo Ram Yoon

Hello! I am Vo Ram Yoon (he/him/his). I am a Data and Evaluation Consultant at the Mid-Atlantic Equity Consortium (MAEC), where I work on equity audits for public school districts and nonprofit organizations. As a queer, Korean Bolivian evaluator, I am a proponent for using quantitative and qualitative methods to honor the complex narratives and …

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Tech TIG Week: Understanding Sources of Bias in Big Data by Michael Bamberger

Greetings from Portland, Oregon! My name is Michael Bamberger and I am Program Chair for the Integrating Technology into Evaluation (ITE) TIG, where we have been following the exciting developments concerning the introduction of big data and Artificial Intelligence (AI) into research and evaluation. While sharing the excitement about these game-changing developments for the practice …

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Tech TIG Week: Collaborating on the Responsible Use of Emerging Artificial Intelligence for MERL by Linda Raftree

I’m Linda Raftree and I founded the MERL Tech community about ten years ago, back when monitoring, evaluation, research and learning (MERL) practitioners were just starting to explore mobile phones, digital devices, and digital data for MERL purposes. Technology has changed a lot since 2013 – and so have the ways that MERL practitioners use …

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Tech TIG Week: Integrating Technology in Evaluation TIG Themes by John Baek and Diamond St. Thomas

Greetings from John Baek and Diamond St. Thomas, the Integrating Technology in Evaluation (ITE) TIG Co-chairs. There has been a growing interest within the TIG and across AEA on the opportunities for integrating emerging technologies as well as with administrative systems in evaluation. It is our impression that these themes have tended to focus on …

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SCENE Collab Week: Visualizing our Community of Practice Using Social Systems Mapping by Min Ma, Haylea Hubacz, and Maya Komakhidze

Hi! We’re a team that’s been working on using social systems mapping to create a map of the SCENE network: Using SumApp and Kumu, we’ve developed a map of and for New England-based evaluators. This map is a tool for evaluators to find peers and connect around topics of interest, challenges they are facing, and …

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SCENE Collab Week: Actors of Regional Associations: Gender Responsive Evaluations in Latin America by Sonia Baron

I am Sonia Baron, a recent MA graduate of Research and Evaluation Methods at Boston College and an incoming Ph.D. student in Evaluation and Applied research methods at Claremont Graduate University. Regional evaluations are resource-intensive endeavors with the task of balancing the interests of each individual sector, all while creating a deliverable that is true …

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SCENE Collab Week: Equity in Data Visualization: Explorations from Vermont by Cindy Char, Jennifer Jewiss, Jody Kamon, Lisa Natkin, and Qing Ren

Hello. We are Cindy Char, Jennifer Jewiss, Jody Kamon, Lisa Natkin, and Qing Ren, members of the Vermont SCENE Communication Collaboration. Our subgroup was formed in response to SCENE’s encouragement to create self-organized, collaborative groups of 3-5 people who work together to deepen understanding and practice on a topic of particular interest. The timing and …

SCENE Collab Week: Equity in Data Visualization: Explorations from Vermont by Cindy Char, Jennifer Jewiss, Jody Kamon, Lisa Natkin, and Qing Ren Read More »