Research

Groundbreaking work and published results in peer reviewed journals across disciplines.

Title

Topic

  • Vision paper: ‘Towards Mobility Data Science’

    “Mobility data captures the locations of moving objects such as humans, animals and cars. With the availability of GPS-equipped mobile devices and other inexpensive location-tracking technologies, mobility data is collected ubiquitously. In recent years, the use of mobility data has demonstrated significant impact in various domains including traffic management, urban planning and health sciences. In this paper, we present the emerging domain of mobility data science. Towards a unified approach to mobility data science, we envision a pipeline having the following components: mobility data collection, cleaning, analysis, management and privacy.” Find the paper and full list of authors at ArXiv.

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  • ‘Distributed Cognition Approach to Understanding Compensatory Calendaring Cognitive Systems of Older Adults With Mild Cognitive Impairment’

    “While consumer digital calendars are widely used for appointment reminders, they do not fulfill all of the compensatory functions that are supported by calendars designed for cognitive rehabilitation therapies. … We employed a Distributed Cognition framework to elucidate how older adults with mild cognitive impairment (MCI) and their care partners manage calendaring details when supported by a traditional rehabilitation calendar. … We used a Distributed Cognition framing to articulate information flows and breakdowns in participants’ calendaring systems.” Find the paper and full list of authors in the International Conference on Ubiquitous Computing and Ambient Intelligence proceedings.

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  • ‘An Efficient OFDM-Based Monostatic Radar Design for Multitarget Detection’

    “In this paper, we propose a monostatic radar design for multitarget detection based on orthogonal-frequency division multiplexing, where the monostatic radar is co-located with the transmit antenna. The monostatic antenna has the perfect knowledge of the transmitted signal and listens to echoes coming from the reflection of fixed or moving targets. We estimate the target parameters, i.e., range and velocity, using a two-dimensional periodogram. By this setup we improve the periodogram estimation performance under the condition of low signal-to-noise ratio using Zadoff-Chu precoding and the discrete Fourier transform channel estimation.” Find the paper and authors list at IEEE Access.

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  • ‘DREiMac: Dimensionality Reduction With Eilenberg-MacLane Coordinates’

    “DREiMac is a library for topological data coordinatization, visualization, and dimensionality reduction. Currently, DREiMac is able to find topology-preserving representations of point clouds taking values in the circle, in higher dimensional tori, in the real and complex projective spaces, and in lens spaces. In a few words, DREiMac takes as input a point cloud together with a topological feature of the point cloud (in the form of a persistent cohomology class), and returns a map from the point cloud to a well-understood topological space.” Find the paper and full list of authors at the Journal of Open Source Software.

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  • Noveck provides guidance on using artificial intelligence in government

    Noting how governments around the world have been slow to adopt ChatGPT in their processes, Beth Noveck, professor and director of the Burnes Center for Social Change at Northeastern University, provides guidance and examples for how large language models can be leveraged by public-serving professionals. “The journey from skepticism to the beginnings of strategic implementation,” she writes, “reflects a growing recognition of the transformative potential of AI for public good.”

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  • ‘Reconnecting Economics Education with Today’s Global Realities’

    Jennie Stephens, professor of sustainability science and policy, writes that economics education in the United States is “dangerously limited.” Responding to “an interactive session designed to kick off October’s National Economics Education Month” in which Federal Reserve Chair Jerome Powell “shared with educators his enthusiasm and appreciation for economics education, [but also] failed to connect economics to major societal issues,” Stephens argues for a model of economics education that would explore “a wide range of economic ideas beyond neoclassical economics and beyond neoliberal policies.”

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  • The Ocean Census project aims to discover 100,000 species in the next 10 years

    Knowledge remains “the most important ingredient in protecting the planet,” says Dan Distel, research professor in biology and marine and environmental sciences at Northeastern University. The Ocean Census project, a collaboration between universities and environmental institutes across the globe, will accelerate the taxonomic process, adding to scientists’ understanding of how marine environments function.

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  • ‘”Why Did You Say That?”: Understanding Explainability in Conversational AI Systems for Older Adults With Mild Cognitive Impairment’

    “As Conversational AI systems evolve, their user base widens to encompass individuals with varying cognitive abilities, including older adults facing cognitive challenges like Mild Cognitive Impairment (MCI). Current systems, like smart speakers, struggle to provide effective explanations for their decisions or responses. This paper argues that the expectations and requirements for AI explanations for older adults with MCI differ significantly from conventional Explainable AI (XAI) research goals.” Find the article and full list of authors in the Proceedings of the 15th International Conference on Ubiquitous Computing & Ambient Intelligence.

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  • ‘Why the Fed Should Treat Climate Change’s $150B Economic Toll Like Other National Crises’

    For The Conversation, professor of sustainability science and policy Jennie Stephens, with Martin Sokol of Trinity College Dublin, argues that “the Federal Reserve — the U.S. central bank that is charged with maintaining economic stability — is not considering the instability of climate change in its monetary policy.” This, despite the fact that climate change is increasingly a major cause of financial instability, from health-related costs due to heat exposure, rising home insurance rates and various other factors. The Fifth National Climate Assessment recently reported that climate change is now costing the U.S. 150 billion dollars per year, Stephens writes.

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  • ‘A Graphical Model of Hurricane Evacuation Behaviors’

    “Natural disasters such as hurricanes are increasing and causing widespread devastation. People’s decisions and actions regarding whether to evacuate or not are critical and have a large impact on emergency planning and response. Our interest lies in computationally modeling complex relationships among various factors influencing evacuation decisions. We conducted a study on the evacuation of Hurricane Irma. … We evaluated different graphical structures based on conditional independence tests using Irma data. The final model … shows that both risk perception (threat appraisal) and difficulties in evacuation (coping appraisal) influence evacuation decisions.” Find the paper and full list of authors at ArXiv.

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  • ‘Climate Loss-and-Damage Funding: How To Get Money to Where it’s Needed Fast’

    In response to the 27th United Nations Climate Change Conference’s agreement to establish a loss-and-damage fund for climate change disasters, professor of public policy and urban affairs Laura Kuhl, writing with Istiakh Ahmed, M. Feisal Rahman, Jamie Shinn, Johan Arango-Quiroga and Saleemul Huq, proposes “four recommendations for how the loss-and-damage fund should operate,” including “speed and agility,” supporting climate justice, defining eligibility and placing “low-and middle-income countries” at the center of the conversation.

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  • ‘Central Banks Should Be Fighting the Climate Crisis – Here’s Why’

    “Climate finance was a major focus at the recent COP28 summit, but one set of game-changing institutions remains largely missing in such conversations: central banks,” writes Jennie Stephens, professor of sustainability science and policy, with Martin Sokol, of Trinity College Dublin. “Long-term stability cannot be achieved without first disrupting and transforming the existing financial system,” they argue, citing new research. “One way to do this would be for central banks to use tools already available to them to trigger a short-term intentional disruption in order to redirect financial flows and create greater stability in the long-term.”

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  • ‘The OpenMolcas Web: A Community-Driven Approach to Advancing Computational Chemistry’

    “The developments of the open-source OpenMolcas chemistry software environment since spring 2020 are described, with a focus on novel functionalities accessible in the stable branch of the package or via interfaces with other packages. These developments span a wide range of topics in computational chemistry and are presented in thematic sections. … This report offers an overview of the chemical phenomena and processes OpenMolcas can address, while showing that OpenMolcas is an attractive platform for state-of-the-art atomistic computer simulations.” Find the paper and full list of authors at the Journal of Chemical Theory and Computation.

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  • To fight climate change and promote climate justice, call on the banks

    Professor of sustainability science and policy Jennie Stephens has new research highlighting the responsibility that central banks have in the fight against climate change and for climate justice.

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  • The Fed is ignoring climate risk at the economy’s — and the world’s — peril, argues Stephens

    Jennie Stephens, professor of sustainability science and policy, writes in The Hill that “there is no bigger threat to the stability of our economy than climate change.” The Federal Reserve’s continued refusal to address this instability, she says, “threatens the very stability that [Fed Chair Jerome Powell] is responsible for maintaining.”

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  • Hoff provides ‘A Survival Guide’ for physicians in times of labor upheaval

    Professor of management, healthcare systems and public policy Timothy Hoff encourages physicians to “embrac[e] their employee side,” as such an attitude would align physicians with other employees in medical facilities along common ground, seeking “adequate compensation, wellness, job security, patient and worker safety, healthcare quality, reasonable workloads and schedules and fair treatment by employers.”

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  • ‘Testing Language Model Agents Safely in the Wild’

    “A prerequisite for safe autonomy-in-the-wild is safe testing-in-the-wild. Yet real-world autonomous tests face several unique safety challenges, both due to the possibility of causing harm during a test, as well as the risk of encountering new unsafe agent behavior through interactions with real-world and potentially malicious actors. We propose a framework for conducting safe autonomous agent tests on the open internet: agent actions are audited by a context-sensitive monitor that enforces a stringent safety boundary to stop an unsafe test, with suspect behavior ranked and logged to be examined by humans.” Find the paper and full authors list at ArXiv.

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  • ‘The Verse Calculus: A Core Calculus for Deterministic Functional Logic Programming’

    “Functional logic languages have a rich literature, but it is tricky to give them a satisfying semantics. … We describe the Verse calculus, VC, a new core calculus for deterministic functional logic programming. Our main contribution is to equip VC with a small-step rewrite semantics, so that we can reason about a VC program in the same way as one does with lambda calculus; that is, by applying successive rewrites to it. We also show that the rewrite system is confluent for well-behaved terms.” Find the article and authors list in the Proceedings of the ACM on Programming Languages.

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  • ‘Fast and Expressive Gesture Recognition Using a Combination-Homomorphic Electromyogram Encoder’

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    “We study the task of gesture recognition from electromyography (EMG), with the goal of enabling expressive human-computer interaction at high accuracy, while minimizing the time required for new subjects to provide calibration data. To fulfill these goals, we define combination gestures consisting of a direction component and a modifier component. New subjects only demonstrate the single component gestures and we seek to extrapolate from these to all possible single or combination gestures. We extrapolate to unseen combination gestures by combining the feature vectors of real single gestures to produce synthetic training data.” Find the paper and authors list at ArXiv.

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  • ‘FairytaleCQA: Integrating a Commonsense Knowledge Graph Into Children’s Storybook Narratives’

    “AI models (including LLM) often rely on narrative question-answering (QA) datasets to provide customized QA functionalities to support downstream children education applications; however, existing datasets only include QA pairs that are grounded within the given storybook content, but children can learn more when teachers refer the storybook content to real-world knowledge (e.g., commonsense knowledge). We introduce the FairytaleCQA dataset, which is annotated by children education experts, to supplement 278 storybook narratives with educationally appropriate commonsense knowledge.” Find the article and full list of authors at ArXiv.

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  • ‘On Hardness Assumptions Needed for “Extreme High-End” PRGs and Fast Derandomization’

    “The hardness vs.~randomness paradigm aims to explicitly construct pseudorandom generators G:{0,1}r→{0,1}m that fool circuits of size m, assuming the existence of explicit hard functions. … We study whether extreme high-end PRGs can be constructed from the following scaled version of the assumption which we call “the extreme high-end hardness assumption”, and in which β=1−o(1) and B=1+o(1). We give a partial negative answer, showing that certain approaches cannot yield a black-box proof.” Find the paper and full list of authors at ArXiv.

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  • ‘Leveraging Generative AI for Clinical Evidence Summarization Needs to Achieve Trustworthiness’

    “Evidence-based medicine aims to improve the quality of healthcare by empowering medical decisions and practices with the best available evidence. The rapid growth of medical evidence, which can be obtained from various sources, poses a challenge in collecting, appraising, and synthesizing the evidential information. Recent advancements in generative AI, exemplified by large language models, hold promise in facilitating the arduous task. However, developing accountable, fair and inclusive models remains a complicated undertaking. In this perspective, we discuss the trustworthiness of generative AI in the context of automated summarization of medical evidence.” Find the paper and authors list at ArXiv.

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  • Developing new arrays for cystic fibrosis treatment

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    “Chemical engineering professor Ming Su and assistant research professor Sidi Bencherif were awarded a patent for ‘Coordinately-ordered single cells with individual identities for high-throughput assay.'”

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  • Rethinking innovation for the betterment of the planet

    Professor Ruth Aguilera, writing with Sophie Bacq, argues that “we’re making our planet unlivable,” and as more and more planetary “limits for viability” are breached, businesses must shift the ways in which they think about innovation. “Stakeholder theory,” they write, “governs business practices in relation to the multiple or diverse constituencies touched by an organization and its activities.” Rather than focusing on a profit-only model, “Organizations that embrace a broader definition of value and rethink the way different value is apportioned and shared among diverse groups of stakeholders stand to gain in the long run.”

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  • ‘Stochastic Biological System-of-Systems Modeling for iPSC Culture’

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    “Large-scale manufacturing of induced pluripotent stem cells (iPSCs) is essential for cell therapies and regenerative medicines. Yet, iPSCs form large cell aggregates in suspension bioreactors, resulting in insufficient nutrient supply and extra metabolic waste build-up for the cells located at the core. Since subtle changes in micro-environment can lead to a heterogeneous cell population, a novel Biological System-of-Systems (Bio-SoS) framework is proposed to model cell-to-cell interactions, spatial and metabolic heterogeneity and cell response to micro-environmental variation.” Find the paper and full list of authors at ArXiv.

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  • ‘Reusing Just-in-Time Compiled Code’

    “Most code is executed more than once. If not entire programs then libraries remain unchanged from one run to the next. Just-in-time compilers expend considerable effort gathering insights about code they compiled many times, and often end up generating the same binary over and over again. We explore how to reuse compiled code across runs of different programs to reduce warm-up costs of dynamic languages. We propose to use speculative contextual dispatch to select versions of functions from an off-line curated code repository.” Find the paper full list of authors in the Proceedings of the ACM on Programming Languages.

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  • Remote work preparedness is the new requirement in an extreme weather world

    Associate professor of finance John Bai argues, in a new paper, says that remote work provides many of the solutions required to maintain business continuity during extreme weather events, becoming all the more common “in a warming world.”

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  • ‘RecA Levels Modulate Biofilm Development in Acinetobacter Baumannii’

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    “Infections caused by Acinetobacter baumannii, a Gram-negative opportunistic pathogen, are difficult to eradicate due to the bacterium’s propensity to quickly gain antibiotic resistances and form biofilms, a protective bacterial multicellular community. The A. baumannii DNA damage response (DDR) mediates the antibiotic resistance acquisition and regulates RecA in an atypical fashion; both RecALow and RecAHigh cell types are formed in response to DNA damage. The findings of this study demonstrate that the levels of RecA can influence formation and dispersal of biofilms.” Find the paper and full list of authors at Molecular Microbiology.

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  • ‘Virtual AIVantage: Leveraging Large Language Models for Enhanced VR Interview Preparation Among Underrepresented Professionals’

    “Technical interviews, a cornerstone of the hiring process for computer science (CS) jobs, often prove to be particularly stressful for individuals from underrepresented backgrounds in CS circles, including women and people of color. The heightened stress and pressure can negatively affect these individuals’ sense of belonging in CS. This paper introduces Virtual AIVantage, an innovative tool designed to address this issue by leveraging virtual reality (VR) and artificial intelligence (AI) to revolutionize technical interview preparation for underrepresented individuals in CS.” Find the paper and authors list in the Proceedings of the 22nd International Conference on Mobile and Ubiquitous Multimedia.

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  • ‘Snake Robot With Tactile Perception Navigates on Large-Scale Challenging Terrain’

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    “Along with the advancement of robot skin technology, there has been notable progress in the development of snake robots featuring body-surface tactile perception. In this study, we proposed a locomotion control framework for snake robots that integrates tactile perception to augment their adaptability to various terrains. Our approach embraces a hierarchical reinforcement learning (HRL) architecture, wherein the high-level orchestrates global navigation strategies while the low-level uses curriculum learning for local navigation maneuvers.” Find the paper and full list of authors at ArXiv.

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