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Title: Analysis on the Persisting Effects of Redlining on Green Infrastructure in Chicago Neighborhoods - Neighborhood Map files
Date: 2023,
Description: This compressed collection of map files constitutes data used in "Analysis on the Persisting Effects of Redlining on Green Infrastructure in...
Show moreThis compressed collection of map files constitutes data used in "Analysis on the Persisting Effects of Redlining on Green Infrastructure in Chicago Neighborhoods", published in SoReMo, March 2023 (DOI: https://doi.org/10.18409/soremojournal.v3i1.221). The report looks at “redlining” maps produced by the Home Owners’ Loan Corporation (HOLC) to analyze the current green infrastructure levels in various neighborhoods of Chicago.
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Title: An Introduction to the Societal Roles of Ethics Codes
Date: 2022, 2022-01-03
Publisher: Springer, Cham
Description: In this collected volume, we are interested in the roles of ethics codes and ethical guidelines in professions in which research and...
Show moreIn this collected volume, we are interested in the roles of ethics codes and ethical guidelines in professions in which research and innovation play an important role and where emerging technologies bring about considerable, sometimes fast-paced change.
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Collection: Codes of Ethics and Ethical Guidelines: Emerging Technologies and Changing Fields

Title: Informed Consent in Digital Data Management
Date: 2022, 2022-01-03
Publisher: Springer, Cham
Description: This article discusses the role of informed consent, a well-known concept and standard established in the field of medicine, in ethics codes...
Show moreThis article discusses the role of informed consent, a well-known concept and standard established in the field of medicine, in ethics codes relating to digital data management. It analyzes the significance allotted to informed consent and informed consent-related principles in ethics codes, policies, and guidelines by presenting the results of a study focused on 31 ethics codes, policies, and guidelines held as part of the Ethics Codes Collection. The analysis reveals that up to now, there is a limited number of codes of ethics, policies, and guidelines on digital data management. Informed consent often is a central component in these codes and guidelines. While there undoubtedly are significant similarities between informed consent in medicine and digital data management, in ethics codes and guidelines, informed consent-related standards in some fields such as marketing are weaker and less strict. The article concludes that informed consent is an essential standard in digital data management that can help effectively shape future practices in the field. However, a more detailed reflection on the specific content and role of informed consent and informed consent-related standards in the various areas of digital data management is needed to avoid the weakening and dilution of standards in contexts where there are no clear legal regulations.
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Collection: Codes of Ethics and Ethical Guidelines: Emerging Technologies and Changing Fields

Title: Mentions of Ethics Codes in Social Media: A Twitter Analysis
Date: 2022, 2022-01-03
Publisher: Springer, Cham
Collection: Codes of Ethics and Ethical Guidelines: Emerging Technologies and Changing Fields

Title: My IIT
Date: 2024,
Description: Master's Project focused on developing a user-friendly mobile application for Illinois Institute of Technology (IIT).

Title: Towards In-Network Semantic Analysis: A Case Study involving Spam Classification
Date: 2023-03-06,
Description: Analyzing free-form natural language expressions “in the network”—that is, on programmable switches and smart...
Show moreAnalyzing free-form natural language expressions “in the network”—that is, on programmable switches and smart NICs—would enable packet-handling decisions that are based on the textual content of flows. This analysis would support richer, latency-critical data services that depend on language analysis—such as emergency response, misinformation classification, customer support, and query-answering applications. But packet forwarding and processing decisions usually rely on simple analyses based on table look-ups that are keyed on well-defined (and usually fixed size) header fields. P4 is the state of the art domain-specific language for programming network equipment, but, to the best of our knowledge, analyzing free-form text using P4 has not yet been investigated. Although there is an increasing variety of P4-programmable commodity network hardware available, using P4 presents considerable technical challenges for text analysis since the language lacks loops and fractional datatypes. This paper presents the first Bayesian spam classifier written in P4 and evaluates it using a standard dataset. The paper contributes techniques for the tokenization, analysis, and classification of free-form text using P4, and investigates trade-offs between classification accuracy and resource usage. It shows how classification accuracy can be tuned between 69.1% and 90.4%, and how resource usage can be reduced to 6% by trading-off accuracy. It uses the spam filtering use-case to motivate the need for more research into in network text analysis to enable future “semantic analysis” applications in programmable networks.
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Title: Whither convergence? Co-designing convergent research and wrestling with its emergent tensions
Date: 2024-08-01,
Description: Mural boards with data analysis of Multiscale RECIPES convergence activities

Title: Analysis on the Persisting Effects of Redlining in Chicago Neighborhoods as it relates to Green Infrastructure
Date: 2022,
Description: Presentation describing a Pillar project completed as part of the Camras Scholars Program at Illinois Tech. Camras scholars are expected to...
Show morePresentation describing a Pillar project completed as part of the Camras Scholars Program at Illinois Tech. Camras scholars are expected to make meaningful contributions to the campus and the Illinois Tech community in three focus areas known as the Camras Pillars: leadership, research, and service. The Camras Scholars Program (CSP) is a student-led organization that oversees and runs the program for current Camras scholarship recipients and alumni.
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Title: Beyond the Sole: Where Human Performance Meets Data Analytics
Date: 2022,
Description: Presentation describing a Pillar project completed as part of the Camras Scholars Program at Illinois Tech. Camras scholars are expected to...
Show morePresentation describing a Pillar project completed as part of the Camras Scholars Program at Illinois Tech. Camras scholars are expected to make meaningful contributions to the campus and the Illinois Tech community in three focus areas known as the Camras Pillars: leadership, research, and service. The Camras Scholars Program (CSP) is a student-led organization that oversees and runs the program for current Camras scholarship recipients and alumni.
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Title: Camras Scholars Website
Date: 2022,
Description: Presentation describing a Pillar project completed as part of the Camras Scholars Program at Illinois Tech. Camras scholars are expected to...
Show morePresentation describing a Pillar project completed as part of the Camras Scholars Program at Illinois Tech. Camras scholars are expected to make meaningful contributions to the campus and the Illinois Tech community in three focus areas known as the Camras Pillars: leadership, research, and service. The Camras Scholars Program (CSP) is a student-led organization that oversees and runs the program for current Camras scholarship recipients and alumni.
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Title: World Languages and Cultures Club
Date: 2022,
Description: Presentation describing a Pillar project completed as part of the Camras Scholars Program at Illinois Tech. Camras scholars are expected to...
Show morePresentation describing a Pillar project completed as part of the Camras Scholars Program at Illinois Tech. Camras scholars are expected to make meaningful contributions to the campus and the Illinois Tech community in three focus areas known as the Camras Pillars: leadership, research, and service. The Camras Scholars Program (CSP) is a student-led organization that oversees and runs the program for current Camras scholarship recipients and alumni.
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Title: Semantics and further Use-Cases and Evaluation of the C-Saw language
Date: 2023-03-09,
Description: This report provides supplementary technical details to the conference paper that introduced C-Saw, a language for expressing software...
Show moreThis report provides supplementary technical details to the conference paper that introduced C-Saw, a language for expressing software architecture patterns. This report provides additional examples of using C-Saw, supplementary evaluation details, and it defines the formal semantics of the language.
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Title: Integrating Ethics Into a Research Experience for Undergraduates
Creator: Mukund Acharya, Michael Davis, Vivian Weil
Date: 1995
Description: Abstract A Research Experience for...
Show moreAbstract A Research Experience for Undergraduates (REU) is an extra-curricular opportunity for science or engineering students in the sophomore, junior, or senior year to participate in academic research in much the way graduate students do. It is a way to introduce undergraduates to the excitement of real research. Because it also seems an easy and attractive way to integrate ethics into undergraduate education, working out how professors of engineering or science might actually incorporate professional ethics into an REU seems desirable. This paper describes one effort to do that with engineering students.
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Collection: Journal of Engineering Education

Title: Estimation for Dyadic-Dependent Exponential Random Graph Models
Date: 2014, 2014-04-30
Description: Graphs are the primary mathematical representation for networks, with nodes or vertices corresponding to units (e.g., individuals) and edges...
Show moreGraphs are the primary mathematical representation for networks, with nodes or vertices corresponding to units (e.g., individuals) and edges corresponding to relationships. Exponential Random Graph Models (ERGMs) are widely used for describing network data because of their simple structure as an exponential function of a sum of parameters multiplied by their corresponding sufficient statistics. As with other exponential family settings the key computational difficulty is determining the normalizing constant for the likelihood function, a quantity that depends only on the data. In ERGMs for network data, the normalizing constant in the model often makes the parameter estimation intractable for large graphs, when the model involves dependence among dyads in the graph. One way to deal with this problem is to approximate the likelihood function by something tractable, e.g., by using the method of pseudo-likelihood estimation suggested in the early literature. In this paper, we describe the family of ERGMs and explain the increasing complexity that arises from imposing different edge dependence and homogeneous parameter assumptions. We then compare maximum likelihood (ML) and maximum pseudo-likelihood (MPL) estimation schemes with respect to existence and related degeneracy properties for ERGMs involving dependencies among dyads.
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Collection: Journal of Algebraic Statistics

Title: Generic Identification of Binary-Valued Hidden Markov Processes
Date: 2014, 2014-04-30
Description: The generic identification problem is to decide whether a stochastic process (X_t) is a hidden Markov process and if yes to infer its...
Show moreThe generic identification problem is to decide whether a stochastic process (X_t) is a hidden Markov process and if yes to infer its parameters for all but a subset of parametrizations that form a lower-dimensional subvariety in parameter space. Partial answers so far available depend on extra assumptions on the processes, which are usually centered around stationarity. Here we present a general solution for binary-valued hidden Markov processes. Our approach is rooted in algebraic statistics hence it is geometric in nature. We find that the algebraic varieties associated with the probability distributions of binary-valued hidden Markov processes are zero sets of determinantal equations which draws a connection to well-studied objects from algebra. As a consequence, our solution allows for algorithmic implementation based on elementary (linear) algebraic routines.
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Collection: Journal of Algebraic Statistics

Title: Binary hidden Markov models and varieties, AS2012 Special Volume, part 2: This issue includes a second series of papers from talks, posters and collaborations resulting from and inspired by the Algebraic Statistics in the Alleghenies Conference at Penn State, which took place in July 2012.
Date: 2013, 2013
Description: This paper closely examines HMMs in which all the hidden random variables are...
Show moreThis paper closely examines HMMs in which all the hidden random variables are binary. Its main contributions are (1) a birational parametrization for every such HMM, with an explicit inverse for recovering the hidden parameters in terms of observables, (2) a semialgebraic model membership test for every such HMM, and (3) minimal dening equations for the 4-node fully binary model, comprising 21 quadrics and 29 cubics, which were computed using Grobner bases in the cumulant coordinates of Sturmfels and Zwiernik. The new model parameters in (1) are rationally identiable in the sense of Sullivant, Garcia-Puente, and Spielvogel, and each model's Zariski closure is therefore a rational projective variety of dimension 5. Grobner basis computations for the model and its graph are found to be considerably faster using these parameters. In the case of two hidden states, item (2) supersedes a previous algorithm of Schonhuth which is only generically dened, and the dening equations (3) yield new invariants for HMMs of all lengths 4. Such invariants have been used successfully in model selection problems in phylogenetics, and one can hope for similar applications in the case of HMMs.
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Collection: Journal of Algebraic Statistics

Title: Learning Coefficient in Bayesian Estimation of Restricted Boltzmann Machine, AS2012 Special Volume, part 2: This issue includes a second series of papers from talks, posters and collaborations resulting from and inspired by the Algebraic Statistics in the Alleghenies Conference at Penn State, which took place in July 2012.
Date: 2013, 2013
Description: We consider the real log canonical threshold for the learning model in Bayesian estimation. This threshold corresponds to a learning...
Show moreWe consider the real log canonical threshold for the learning model in Bayesian estimation. This threshold corresponds to a learning coefficient of generalization error in Bayesian estimation, which serves to measure learning efficiency in hierarchical learning models [30, 31, 33]. In this paper, we clarify the ideal which gives the log canonical threshold of the restricted Boltzmann machine and consider the learning coefficients of this model.
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Collection: Journal of Algebraic Statistics

Title: The precision space of interpolatory cubature formulæ
Date: 2015, 2015-06-11
Description: Methods from Commutative Algebra and Numerical Analysis are combined to address a problem common to many disciplines: the estimation of the...
Show moreMethods from Commutative Algebra and Numerical Analysis are combined to address a problem common to many disciplines: the estimation of the expected value of a polynomial of a random vector using a linear combination of a finite number of its values. In this work we remark on the error estimation in cubature formulæ for polynomial functions and introduce the notion of a precision space for a cubature rule.
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Collection: Journal of Algebraic Statistics

Title: The degeneration of the Grassmannian into a toric variety and the calculation of the eigenspaces of a torus action
Date: 2015, 2015-06-11
Description: Using the method of degenerating a Grassmannian into a toric variety, we calculate formulas for the dimensions of the eigenspaces of the...
Show moreUsing the method of degenerating a Grassmannian into a toric variety, we calculate formulas for the dimensions of the eigenspaces of the action of an n-dimensional torus on a Grassmannian of planes in an n-dimensional space.
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Collection: Journal of Algebraic Statistics

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