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17 results for “AustinLBuchanan”
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Announcing the 2023-2024 Undergraduate Operations Research Redistricting Prize... $1,000 in travel support to the winner https://austinlbuchanan.github.io/undergrad-redistricting-prize/ #orms #districting
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Announcing the 2023-2024 Undergraduate Operations Research Redistricting Prize... $1,000 in travel support to the winner https://austinlbuchanan.github.io/undergrad-redistricting-prize/ #orms #districting
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Announcing the 2023-2024 Undergraduate Operations Research Redistricting Prize... $1,000 in travel support to the winner https://austinlbuchanan.github.io/undergrad-redistricting-prize/ #orms #districting
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Announcing the 2023-2024 Undergraduate Operations Research Redistricting Prize... $1,000 in travel support to the winner https://austinlbuchanan.github.io/undergrad-redistricting-prize/ #orms #districting
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Announcing the 2023-2024 Undergraduate Operations Research Redistricting Prize... $1,000 in travel support to the winner https://austinlbuchanan.github.io/undergrad-redistricting-prize/ #orms #districting
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Article: Gerrymandering made easy
In this article, we take a simple approach to modifying a redistricting design. We add a requirement to our model that could be interpreted as either:
- The laudable goal of grouping together "communities of interest" – a common requirement when designing voting districts; or
- A nefarious attempt to manipulate the electoral outcome by gerrymandering.Gerrymandering is the opposite of the model's purpose in our previous article. But, as model designers, we need to be aware that we don't always control the purposes to which decision makers apply our models and decision makers don't always understand the implications of small changes to a model.
https://www.solvermax.com/blog/gerrymandering-made-easy
#Python #orms #optimization #modelling #gurobi #highs
@AustinLBuchanan -
Article: Gerrymandering made easy
In this article, we take a simple approach to modifying a redistricting design. We add a requirement to our model that could be interpreted as either:
- The laudable goal of grouping together "communities of interest" – a common requirement when designing voting districts; or
- A nefarious attempt to manipulate the electoral outcome by gerrymandering.Gerrymandering is the opposite of the model's purpose in our previous article. But, as model designers, we need to be aware that we don't always control the purposes to which decision makers apply our models and decision makers don't always understand the implications of small changes to a model.
https://www.solvermax.com/blog/gerrymandering-made-easy
#Python #orms #optimization #modelling #gurobi #highs
@AustinLBuchanan -
Article: Gerrymandering made easy
In this article, we take a simple approach to modifying a redistricting design. We add a requirement to our model that could be interpreted as either:
- The laudable goal of grouping together "communities of interest" – a common requirement when designing voting districts; or
- A nefarious attempt to manipulate the electoral outcome by gerrymandering.Gerrymandering is the opposite of the model's purpose in our previous article. But, as model designers, we need to be aware that we don't always control the purposes to which decision makers apply our models and decision makers don't always understand the implications of small changes to a model.
https://www.solvermax.com/blog/gerrymandering-made-easy
#Python #orms #optimization #modelling #gurobi #highs
@AustinLBuchanan -
Article: Gerrymandering made easy
In this article, we take a simple approach to modifying a redistricting design. We add a requirement to our model that could be interpreted as either:
- The laudable goal of grouping together "communities of interest" – a common requirement when designing voting districts; or
- A nefarious attempt to manipulate the electoral outcome by gerrymandering.Gerrymandering is the opposite of the model's purpose in our previous article. But, as model designers, we need to be aware that we don't always control the purposes to which decision makers apply our models and decision makers don't always understand the implications of small changes to a model.
https://www.solvermax.com/blog/gerrymandering-made-easy
#Python #orms #optimization #modelling #gurobi #highs
@AustinLBuchanan -
Article: Gerrymandering made easy
In this article, we take a simple approach to modifying a redistricting design. We add a requirement to our model that could be interpreted as either:
- The laudable goal of grouping together "communities of interest" – a common requirement when designing voting districts; or
- A nefarious attempt to manipulate the electoral outcome by gerrymandering.Gerrymandering is the opposite of the model's purpose in our previous article. But, as model designers, we need to be aware that we don't always control the purposes to which decision makers apply our models and decision makers don't always understand the implications of small changes to a model.
https://www.solvermax.com/blog/gerrymandering-made-easy
#Python #orms #optimization #modelling #gurobi #highs
@AustinLBuchanan -
Article: Academics, please publish your data and code
Academic research papers can be a valuable source of material for creating and improving real world optimization models. But we wish that academics would publish working code and data to accompany their papers.
In this article:
- Firstly, we briefly look at some reasons why academics might be reluctant to publish their data and code.
- Then we replicate, modify, and explore a published model that has been done well, with the data and program code publicly available.https://www.solvermax.com/blog/academics-please-publish-your-data-and-code
#Python #orms #optimization #modelling #gurobi #highs
@AustinLBuchanan -
Article: Academics, please publish your data and code
Academic research papers can be a valuable source of material for creating and improving real world optimization models. But we wish that academics would publish working code and data to accompany their papers.
In this article:
- Firstly, we briefly look at some reasons why academics might be reluctant to publish their data and code.
- Then we replicate, modify, and explore a published model that has been done well, with the data and program code publicly available.https://www.solvermax.com/blog/academics-please-publish-your-data-and-code
#Python #orms #optimization #modelling #gurobi #highs
@AustinLBuchanan -
Article: Academics, please publish your data and code
Academic research papers can be a valuable source of material for creating and improving real world optimization models. But we wish that academics would publish working code and data to accompany their papers.
In this article:
- Firstly, we briefly look at some reasons why academics might be reluctant to publish their data and code.
- Then we replicate, modify, and explore a published model that has been done well, with the data and program code publicly available.https://www.solvermax.com/blog/academics-please-publish-your-data-and-code
#Python #orms #optimization #modelling #gurobi #highs
@AustinLBuchanan -
Article: Academics, please publish your data and code
Academic research papers can be a valuable source of material for creating and improving real world optimization models. But we wish that academics would publish working code and data to accompany their papers.
In this article:
- Firstly, we briefly look at some reasons why academics might be reluctant to publish their data and code.
- Then we replicate, modify, and explore a published model that has been done well, with the data and program code publicly available.https://www.solvermax.com/blog/academics-please-publish-your-data-and-code
#Python #orms #optimization #modelling #gurobi #highs
@AustinLBuchanan -
Article: Academics, please publish your data and code
Academic research papers can be a valuable source of material for creating and improving real world optimization models. But we wish that academics would publish working code and data to accompany their papers.
In this article:
- Firstly, we briefly look at some reasons why academics might be reluctant to publish their data and code.
- Then we replicate, modify, and explore a published model that has been done well, with the data and program code publicly available.https://www.solvermax.com/blog/academics-please-publish-your-data-and-code
#Python #orms #optimization #modelling #gurobi #highs
@AustinLBuchanan -
[new paper] “Political districting to maximize whole counties” coauthored with Maral Shahmizad
We propose a combinatorial Benders decomposition algorithm, solving (nearly) all instances across the USA.
Our approach provides intuitive optimality proofs suitable for courts/laypeople: at least one county must be split in each enclosed region. #orms
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Sad to be missing #informs this year, but something came up…