Presentations

9/7/2016 - Harvard Office of Institutional Research - "Data, Data Science, and The Research University", at CGIS Knafel K354, Wednesday, September 7, 2016

Title: "Data, Data Science, and The Research University"

Abstract: In our talk we will discuss some of the challenges that may arise while developing a “data science” approach to institutional research in the university setting. Despite these hurdles, with improved data governance and availability, a team with the right skills and outlook, and the support of senior leadership, the transition from a more traditional institutional research function to one representing a data science perspective is not...

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4/27/2016 - Dina Pomeranz (Harvard) - "Can Audits Backfire? Evidence from Public Procurement in Chile", at CGIS Knafel K354, Wednesday, April 27, 2016

Title: "Can Audits Backfire? Evidence from Public Procurement in Chile"

Abstract: The government is the biggest buyer in the economy of most countries. At the same time, the public procurement process if often thought to be fraught with waste and corruption. For this reason, many governments try to promote the use of online auctions instead of direct contracting by public entities. We analyze the  impact of audits aimed at reducing such malpractice in public procurement on public entities' subsequent procurement practices in Chile. For identi cation, we...

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4/20/2016 - Heidi Williams (MIT) - How Do Patents Affect Follow-on Innovation? Evidence from the Human Genome , at CGIS Knafel K354, Wednesday, April 20, 2016

Title: How Do Patents Affect Follow-on Innovation? Evidence from the Human Genome 

With Bhaven Sampat

Abstract: 

We investigate whether patents on human genes have affected

follow-on scientific research and product development. Using

administrative data on successful and unsuccessful patent applications

submitted to the US Patent and Trademark Office, we link the exact gene

sequences claimed in each application with data measuring follow-on

...

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4/13/2016 - Marie-Abele Bind (Harvard) - Valid and informative p-values from big data, illustrated in an epigenomic cross-over experiment, at CGIS Knafel K354, Wednesday, April 13, 2016

Title: Valid and informative p-values from big data, illustrated in an epigenomic cross-over experiment

Abstract: A common issue that arises with current analyses of epigenomic data is the repeated use of statistical tests. For example, consider 17 people in a randomized experiment measuring the results of exposure to two treatment conditions (e.g., clean air and ozone), with measurements at 484,531 epigenome locations, where the aim is to find the locations with an epigenetic effect (i.e., of clean air versus ozone). Here, we describe the use of...

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4/6/2016 - Ethan Fosse & Chris Winship (Harvard) - Bounding Analyses of Age-Period-Cohort Models, at CGIS Knafel K354, Wednesday, April 6, 2016

Title: Bounding Analyses of Age-Period-Cohort Models

Abstract: 

For at least 80 years researchers in a wide variety of fields have sought to uniquely identify age, period, and cohort (APC) effects, even though an infinite number of solutions exist due to perfect linear dependency. In this paper we introduce a new approach for identifying APC effects based on bounding feasible regions of the parameter space. Depending on the location of the solution line in the parameter space, minimal constraints on the direction and magnitude of the linear trends...

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3/30/2016 - Nan Laird (Harvard) - Multivariate Problems in the Genetic Analysis of Complex Disease, at CGIS Knafel K354, Wednesday, March 30, 2016

Title: Multivariate Problems in the Genetic Analysis of Complex Disease

Abstract: Complex diseases have multiple underlying contributing factors, both genetic and environmental.  In addition, the disease syndrome is often characterized by numerous clinical traits that may be analyzed for association with genes along with the disease status.  Genome Wide Association Analysis (GWAS) has been highly successful in identifying some genetic loci associated with many disease syndromes and/or selected traits.  The purpose of the analysis of multiple traits may be to...

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3/23/2016- Laura Balzer- Targeted Learning in the SEARCH trial and HIV prevention in East Africa Wednesday, March 23, 2016

Title: Targeted Learning in the SEARCH trial and HIV prevention in East Africa

Abstract: 

Evaluation of community-based interventions presents significant methodological challenges. In this talk, we describe the design and analysis of the SEARCH trial, an ongoing community randomized trial to evaluate the impact of early HIV diagnosis and immediate treatment with streamlined care in rural East Africa. We focus on 3 choices to optimize study power: adaptive pair-matching over complete randomization,...

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3/9/2016- Stefanie Jegelka (MIT)- Algorithms and new applications for determinantal point processes Wednesday, March 9, 2016

Title: Algorithms and new applications for determinantal point processes

Abstract:  Many real-world inference problems are, at their core, subset selection problems. Probabilistic models for such scenarios rely on having distributions over discrete sets that are sufficiently accurate yet computationally efficient to work with. We focus on sub-families of such distributions whose special mathematical properties are the basis for fast algorithms. As a specific example, Determinantal Point Processes (DPPs) have recently become popular in...

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3/2/2016- Finale Doshi-Velez (Harvard)- Cross-Corpora Learning of Trajectories in Autism Spectrum Disorders Wednesday, March 2, 2016

Title: Cross-Corpora Learning of Trajectories in Autism Spectrum Disorders

Abstract: 

Patients with developmental disorders, such as autism spectrum disorder (ASD), present with symptoms that change with time even if the named diagnosis remains fixed.  For example, a child may have delayed speech as a toddler and difficulty reading in elementary school.  Characterizing these trajectories is important for early treatment.  However, deriving these trajectories from observational sources is challenging:...

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