Dear workshop community,
We will convene for the Harvard University Applied Statistics Workshop (Gov
3009) TOMORROW on Wednesday (5/1). *Note: This will be the last workshop
meeting of the 2018/2019 academic year. *
The speaker is* Michael Hughes *(Tufts Engineering) who will be presenting
his latest work, "Discovering Disease Subtypes that Improve Treatment
Predictions: Prediction-Constrained Topic Models for Personalized
Medicine".
*Where:* CGIS Knafel Building, Room K354 (see this link
<https://map.harvard.edu/?bld=04471&level=9> for directions).
*When: *Wednesday, May 1st at 12 noon - 1:30 pm.
*Abstract: *For complex diseases like depression, choosing a successful
treatment from several possible drugs remains a trial-and-error process in
current clinical practice. By applying statistical machine learning to the
electronic health records of thousands of patients, can we discover
subtypes of disease which both improve population-wide understanding and
improve patient-specific drug recommendations? One popular approach is to
represent noisy, high-dimensional health records as mixtures of
low-dimensional subtypes via a probabilistic topic model. I will introduce
this common dimensionality reduction method and explain how off-the-shelf
topic models are misspecified for downstream prediction tasks across many
domains from text analysis to healthcare. To overcome these poor
predictions, I will introduce a new framework -- prediction-constrained
training -- which learns interpretable topic models that offer competitive
drug recommendations. I will also discuss open challenges in using machine
learning to improve clinical decision-making.
*All are welcome! Lunch is provided! *
Best,
Connor Jerzak
Applied Statistics Workshop -- Graduate Student Coordinator
An anonymous feedback form for the workshop can be found here at this link
<https://docs.google.com/forms/d/e/1FAIpQLScp4lPVBtp4Akf6K6ggmfcTUSIUHEJX89-…>.
Workshop listserv sign-up at this link
<https://lists.fas.harvard.edu/mailman/listinfo/gov3009-l>.
Dear workshop community,
We will convene for the Harvard University Applied Statistics Workshop (Gov
3009) next week on Wednesday (5/1). *Note: This will be the last workshop
meeting of the 2018/2019 academic year. *
The speaker is* Michael Hughes *(Tufts Engineering) who will be presenting
his latest research (title/abstract TBA).
*Where:* CGIS Knafel Building, Room K354 (see this link
<https://map.harvard.edu/?bld=04471&level=9> for directions).
*When: *Wednesday, May 1st at 12 noon - 1:30 pm.
*All are welcome! Lunch is provided! *
Best,
Connor Jerzak
Applied Statistics Workshop -- Graduate Student Coordinator
An anonymous feedback form for the workshop can be found here at this link
<https://docs.google.com/forms/d/e/1FAIpQLScp4lPVBtp4Akf6K6ggmfcTUSIUHEJX89-…>.
Workshop listserv sign-up at this link
<https://lists.fas.harvard.edu/mailman/listinfo/gov3009-l>.
Dear workshop community,
We will convene for the Harvard University Applied Statistics Workshop TOMORROW
on Wednesday (4/24).
The speaker is* Joshua D. Angrist *(MIT) who will be presenting his work,
"Choice and Consequence: Assessing Mismatch at Chicago Exam Schools".
*Where:* CGIS Knafel Building, Room K354 (see this link
<https://map.harvard.edu/?bld=04471&level=9> for directions).
*When: *Wednesday, April 24th at 12 noon - 1:30 pm.
*All are welcome! Lunch is provided! *
Best,
Connor Jerzak
Applied Statistics Workshop -- Graduate Student Coordinator
An anonymous feedback form for the workshop can be found here at this link
<https://docs.google.com/forms/d/e/1FAIpQLScp4lPVBtp4Akf6K6ggmfcTUSIUHEJX89-…>.
Workshop listserv sign-up at this link
<https://lists.fas.harvard.edu/mailman/listinfo/gov3009-l>.
Dear workshop community,
We will convene for the Harvard University Applied Statistics Workshop (Gov
3009) next week on Wednesday (4/24).
The speaker is* Joshua D. Angrist *(MIT) who will be presenting his work,
"Choice and Consequence: Assessing Mismatch at Chicago Exam Schools".
*Where:* CGIS Knafel Building, Room K354 (see this link
<https://map.harvard.edu/?bld=04471&level=9> for directions).
*When: *Wednesday, April 24th at 12 noon - 1:30 pm.
*All are welcome! Lunch is provided! *
Best,
Connor Jerzak
Applied Statistics Workshop -- Graduate Student Coordinator
An anonymous feedback form for the workshop can be found here at this link
<https://docs.google.com/forms/d/e/1FAIpQLScp4lPVBtp4Akf6K6ggmfcTUSIUHEJX89-…>.
Workshop listserv sign-up at this link
<https://lists.fas.harvard.edu/mailman/listinfo/gov3009-l>.
Dear workshop community,
We will convene for the Harvard University Applied Statistics Workshop (Gov
3009) TOMORROW on Wednesday (4/17).
The speaker is* Melissa Dell *(Harvard) who will be presenting her work,
"The Development Effects Of The Extractive Colonial Economy: The Dutch
Cultivation System In Java".
*Where:* CGIS Knafel Building, Room K354 (see this link
<https://map.harvard.edu/?bld=04471&level=9> for directions).
*When: *Wednesday, April 17th at 12 noon - 1:30 pm.
*Abstract: *
Colonial powers typically organized economic activity in the colonies to
maximize their economic returns. While the literature has emphasized
long-run negative economic impacts via institutional quality, the changes
in economic organization implemented to spur production historically could
also directly influence economic organization in the long-run, exerting
countervailing effects. We examine these in the context of the Dutch
Cultivation System, the integrated industrial and agricultural system for
producing sugar that formed the core of the Dutch colonial enterprise in
19th century Java. We show that areas close to where the Dutch established
sugar factories in the mid-19th century are today more industrialized, have
better infrastructure, are more educated, and are richer than nearby
counterfactual locations that would have been similarly suitable for
colonial sugar factories. We also show, using a spatial regression
discontinuity design on the catchment areas around each factory, that
villages forced to grow sugar cane have more village owned land and also
have more schools and substantially higher education levels, both
historically and today. The results suggest that the economic structures
implemented by colonizers to facilitate production can continue to promote
economic activity in the long run, and we discuss the contexts where such
effects are most likely to be important.
*All are welcome! Lunch is provided! *
Best,
Connor Jerzak
Applied Statistics Workshop -- Graduate Student Coordinator
An anonymous feedback form for the workshop can be found here at this link
<https://docs.google.com/forms/d/e/1FAIpQLScp4lPVBtp4Akf6K6ggmfcTUSIUHEJX89-…>.
Workshop listserv sign-up at this link
<https://lists.fas.harvard.edu/mailman/listinfo/gov3009-l>.
Dear workshop community,
We will convene for the Harvard University Applied Statistics Workshop (Gov
3009) next week on Wednesday (4/17).
The speaker is* Melissa Dell *(Harvard) who will be presenting her latest
work (title TBA).
*Where:* CGIS Knafel Building, Room K354 (see this link
<https://map.harvard.edu/?bld=04471&level=9> for directions).
*When: *Wednesday, April 17th at 12 noon - 1:30 pm.
*All are welcome! Lunch is provided! *
Best,
Connor Jerzak
Applied Statistics Workshop -- Graduate Student Coordinator
An anonymous feedback form for the workshop can be found here at this link
<https://docs.google.com/forms/d/e/1FAIpQLScp4lPVBtp4Akf6K6ggmfcTUSIUHEJX89-…>.
Workshop listserv sign-up at this link
<https://lists.fas.harvard.edu/mailman/listinfo/gov3009-l>.
Dear workshop community,
We will convene for the Harvard University Applied Statistics Workshop (Gov
3009) TOMORROW on Wednesday (4/10).
The speaker is* Na Li *(Harvard) who will be presenting her work,
"Distributed Decision Making in Network Systems: Algorithms, Fundamental
Limits, and Applications".
*Where:* CGIS Knafel Building, Room K354 (see this link
<https://map.harvard.edu/?bld=04471&level=9> for directions).
*When: *Wednesday, April 10th at 12 noon - 1:30 pm.
*Abstract: *
Recent radical evolution in distributed sensing, computation,
communication, and actuation has fostered the emergence of cyber-physical
network systems. Examples cut across a broad spectrum of engineering and
societal fields such as power grids, swarm robotics, air/ground
transportation systems, green buildings, and other societal networks.
Regardless of the specific application, one central goal is to shape the
network collective behavior through the design of admissible local
decision-making algorithms. This is nontrivial especially due to the
challenges placed by the local connectivity, imperfect communication,
time-varying uncertainty, and the complex intertwined physics and human
interactions. In this talk, I will present our recent progress in formally
advancing the systematic design of distributed coordination in network
systems. We investigate the fundamental performance limit placed by these
various challenges, design fast, efficient, and scalable algorithms to
achieve (or approximate) the performance limits, and test and implement the
algorithms on real-world applications.
*All are welcome! Lunch is provided! *
Best,
Connor Jerzak
Applied Statistics Workshop -- Graduate Student Coordinator
An anonymous feedback form for the workshop can be found here at this link
<https://docs.google.com/forms/d/e/1FAIpQLScp4lPVBtp4Akf6K6ggmfcTUSIUHEJX89-…>.
Workshop listserv sign-up at this link
<https://lists.fas.harvard.edu/mailman/listinfo/gov3009-l>.
Dear workshop community,
We will convene for the Harvard University Applied Statistics Workshop (Gov
3009) next week on Wednesday (4/10).
The speaker is* Na Li *(Harvard) who will be presenting her work,
"Distributed Decision Making in Network Systems: Algorithms, Fundamental
Limits, and Applications".
*Where:* CGIS Knafel Building, Room K354 (see this link
<https://map.harvard.edu/?bld=04471&level=9> for directions).
*When: *Wednesday, April 10th at 12 noon - 1:30 pm.
*Abstract: *
Recent radical evolution in distributed sensing, computation,
communication, and actuation has fostered the emergence of cyber-physical
network systems. Examples cut across a broad spectrum of engineering and
societal fields such as power grids, swarm robotics, air/ground
transportation systems, green buildings, and other societal networks.
Regardless of the specific application, one central goal is to shape the
network collective behavior through the design of admissible local
decision-making algorithms. This is nontrivial especially due to the
challenges placed by the local connectivity, imperfect communication,
time-varying uncertainty, and the complex intertwined physics and human
interactions. In this talk, I will present our recent progress in formally
advancing the systematic design of distributed coordination in network
systems. We investigate the fundamental performance limit placed by these
various challenges, design fast, efficient, and scalable algorithms to
achieve (or approximate) the performance limits, and test and implement the
algorithms on real-world applications.
*All are welcome! Lunch is provided! *
Best,
Connor Jerzak
Applied Statistics Workshop -- Graduate Student Coordinator
An anonymous feedback form for the workshop can be found here at this link
<https://docs.google.com/forms/d/e/1FAIpQLScp4lPVBtp4Akf6K6ggmfcTUSIUHEJX89-…>.
Workshop listserv sign-up at this link
<https://lists.fas.harvard.edu/mailman/listinfo/gov3009-l>.
Dear workshop community,
We will convene for the Harvard University Applied Statistics Workshop (Gov
3009) TOMORROW on Wednesday (4/3).
The speaker is* Kosuke Imai *(Harvard) who will be presenting his work,
"Automated Coding of Political Campaign Advertisement Videos: An Empirical
Validation Study".
*Where:* CGIS Knafel Building, Room K354 (see this link
<https://map.harvard.edu/?bld=04471&level=9> for directions).
*When: *Wednesday, April 3rd at 12 noon - 1:30 pm.
*Abstract: *
Television advertisements play an essential role in modern political
campaigns with several billion dollars spent in the 2018 general election.
For more than two decades, political scientists have studied TV ads by
analyzing the hand-coded data from the Wisconsin Advertising Project (WAP)
and its successor, the Wesleyan Media Project (WMP). Unfortunately,
manually coding hundreds of variables, such as issue mentions, opponent
appearance, and negativity, for many videos is a laborious and expensive
process. We propose to automatically code political campaign advertisement
videos. Applying state-of-the-art machine learning methods, we
automatically extract various audio and image features from each video
file. We show that our machine coding is at least as accurate as human
coding for many variables of the WAP/WMP data sets. Since many candidates
make their advertisement videos available on the Internet, automated coding
can dramatically improve the efficiency and scope of campaign advertisement
research. Joint work with June Hwang and Alex Tarr.
*All are welcome! Lunch is provided! *
Best,
Connor Jerzak
Applied Statistics Workshop -- Graduate Student Coordinator
An anonymous feedback form for the workshop can be found here at this link
<https://docs.google.com/forms/d/e/1FAIpQLScp4lPVBtp4Akf6K6ggmfcTUSIUHEJX89-…>.
Workshop listserv sign-up at this link
<https://lists.fas.harvard.edu/mailman/listinfo/gov3009-l>.
