We're Hiring: 
Position: Postdoctoral Fellow in Quantitative Social Science at the Laboratory 

Accepting applications for postdoctoral fellowships in quantitative social science (economics, management, psychology and sociology) to facilitate research analyzing the diffusion, criticality, and economic impact of free and open source software (FOSS). LISH, in partnership with the Linux Foundation, works with companies, organizations, and communities involved in the open source ecosystem to determine how to better understand the current state of FOSS in order to foster greater security and sustainability.
Candidates with a background in statistical analysis – particularly working with ‘messy’ data – as well as survey design and execution would be well-suited for this position. Prior experience working with or contributing to open source projects would be desirable, but is not required. Check out more here

Don’t miss Doug’s next session of "Startups & Advisors" featuring panelists on Wednesday, May 19th at 11:00 am. Register here

This research is being conducted to learn about crowdsourcing. Specifically, we are interested in learning about the evaluation of complex engineering designs. You will be asked to evaluate designs for a robotic arm. Evaluation will include rating designs for novelty and feasibility as well as overall quality. We expect the evaluation process to take 90 minutes. The evaluations are to be completed individually.
Register here

LISH's new Research Associate: Rachel Mural 
Rachel Mural is a Research Associate at the Laboratory for Innovation Science at Harvard. She received her Master of Philosophy in Environmental Policy from the University of Cambridge in 2020 and her Bachelor of Arts in Government from the University of Maryland in 2018. During her undergraduate studies, Rachel completed internships with the U.S. Department of Justice Environmental Crimes Section, the University of Maryland Center for American Politics and Citizenship, and O’Connell & Dempsey, LLC. Her research interests include the science of science and the relationship between innovation and sustainability.

Crossing Disciplines:
Studying Fairness, Bias, and Inequality in Management and Decision Sciences Research

Check it out here

Tsedal Neeley's "Remote Work Revolution"
Remote Work Revolution is essential for navigating the enduring challenges teams and managers face. Filled with specific actionable steps and interactive tools, this timely book will help team members deliver results previously out of reach.
Click here to view her website

Improving deconvolution methods in biology through open innovation competitions: an application to the connectivity map
Andrea Blasco, Ted Natoli, Michael G Endres, Rinat A. Sergeev, Steven Randazzo, Jin H. Pail, N J Maximillian Macaluso, Rajiv Narayan, Xiadong Lu, David Peck, Karim R Lakhani, Aravind Subramanian


Do machine learning methods improve standard deconvolution techniques for gene expression data? This article uses a unique new dataset combined with an open innovation competition to evaluate a wide range of approaches developed by 294 competitors from 20 countries. The competition’s objective was to address a deconvolution problem critical to analyzing genetic perturbations from the Connectivity Map. The issue consists of separating gene expression of individual genes from raw measurements obtained from gene pairs. We evaluated the outcomes using ground-truth data (direct measurements for single genes) obtained from the same samples. Read more

If you missed Doug Levin’s “Startups and Advisors” webinar, highlights from parts 1 and 2 of his webinars can be found on our youtube channel here
Self Publish
Looking for a way to distribute your white paper, working paper or reportSubmit your resource (e.g. white paper, report, working paper, presentation or video) to the Innovation Science Guide where it will be published after a short review. Submit here
Learn more about LISH by checking us out on social media! 

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Laboratory for Innovation Science at Harvard · 175 N Harvard St · Boston, MA 02134-1003 · USA