Tag: comprehensive

  • Judge Halts UT’s Comprehensive Ban on Student Speech

    Judge Halts UT’s Comprehensive Ban on Student Speech

    Jon Shapley/Houston Chronicle via Getty Images

    A Texas district court judge on Tuesday ordered the University of Texas system to hold off on enforcing new, sweeping limits on student expression that would prohibit any “expressive activity” protected by the First Amendment between 10 p.m. and 8 a.m. 

    “The First Amendment does not have a bedtime of 10 p.m.,” wrote U.S. district court judge David Alan Ezra in his order granting the plaintiff’s request for a preliminary injunction. “Giving administrators discretion to decide what is prohibited ‘disruptive’ speech gives the school the ability to weaponize the policy against speech it disagrees with. As an example, the Overnight Expression Ban would, by its terms, prohibit a sunrise Easter service. While the university may not find this disruptive, the story may change if it’s a Muslim or Jewish sunrise ceremony. The songs and prayer of the Muslim and Jewish ceremonies, while entirely harmless, may be considered ‘disruptive’ by some.”

    A coalition of student groups—including the student-run Retrograde Newspaper, the Fellowship of Christian University Students at the University of Texas at Dallas and the student music group Strings Attached—sued to challenge the restrictions, which, in addition to prohibiting expression overnight, also sought to ban campus public speakers, the use of drums and amplified noise during the last two weeks of the semester. The restrictive policies align with Texas Senate Bill 2972, called the Campus Protection Act, which requires public universities to adopt restrictions on student speech and expression. The bill took effect on Sept. 1. 

    “Texas’ law is so overbroad that any public university student chatting in the dorms past 10 p.m. would have been in violation,” said Adam Steinbaugh, a senior attorney at the Foundation for Individual Rights and Expression, in a press release. “We’re thankful that the court stepped in and halted a speech ban that inevitably would’ve been weaponized to censor speech that administrators disagreed with.”

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  • NIH Publisher Fee Cap Plan “Not Comprehensive Enough”

    NIH Publisher Fee Cap Plan “Not Comprehensive Enough”

    Members of the public have until Sept. 15 to weigh in on the National Institutes of Health’s plan to curb how much taxpayer money goes to journals to publish some federally funded research.

    The agency, which is the nation’s largest funder of biomedical research, wants to do that by capping—or potentially disallowing—the amount of money it gives to NIH-funded researchers who want to make their work publicly accessible by paying publishers article processing charges. A July 30 request for information memo outlined five potential options, which the NIH says are all aimed at balancing the “feasibility of providing research results with maximizing the use of taxpayer funds to support research.”

    Jay Bhattacharya, director of the NIH, has said the policy could be a mechanism for ending what he sees as the “perverse incentives” driving the $19 billion for-profit academic publishing industry and making it “much harder for a small number of scientific elite to say what’s true and false.”

    But open-information advocates and experts who have reviewed the NIH’s proposed plans for capping the amount it will pay for article processing charges said it likely won’t reform academia’s incentive structure or rein in publishers, including some that charge academic researchers as much as $12,690 per article to make their work freely accessible to the public and more likely to get cited.

    “It is important to keep in mind that any cap is a cap on the amount that can be budgeted to be paid from a grant. It is not a cap on what publishers can charge. What publishers charge may be influenced by a budget cap, but many other factors will also impact on that,” said Lisa Janicke Hinchliffe, a professor and coordinator for research professional development at the University of Illinois library. “It is more likely that a budget cap causes publishers that charge less to raise their fees—the ceiling will become the floor—than it is that publishers charging more will lower their fees.”

    The proposal, which if adopted would go into effect Jan. 1, 2026, is aimed at addressing one of the many criticisms the Trump administration has made about federally funded academic research and the journals that publish the results.

    In May, Robert F. Kennedy Jr., head of the Department of Health and Human Services, which oversees the NIH, said he was considering preventing federally funded scientists from publishing in leading medical journals and launching in-house journals instead, claiming without evidence that pharmaceutical companies control the journals.

    Then, in July, the NIH sped up the implementation of a Biden-era rule requiring federally funded researchers to immediately make their research findings publicly accessible. And earlier this month, Bhattacharya criticized academia’s “publish or perish culture” in a statement about the NIH’s strategy for advancing its mission.

    “It favors the promotion of only favorable results, and replication work is little valued or rewarded,” he wrote. “We are exploring various mechanisms to support scientists focused on replication work, to publish negative findings, and to elevate replication research.”

    Given all of that context, the publisher fee cap plan is “more or less a warning shot across the bow that the NIH is serious about scholarly communication reform,” said Chris Marcum, who was assistant director for open science and data policy at the White House Office of Science and Technology Policy during the Biden administration. “The administration believes there’s massive market concentration held by just a few scholarly publishers, and they’re no longer going to subsidize the surplus revenues of those journals.”

    While the Trump administration is far from alone in its criticism of big academic publishers—just six companies own 53 percent of academic journals—which rely on often-unpaid researchers and peer reviewers, Marcum said that even if the NIH adopted all five of the options it outlined to cap publisher fees, “it’s not comprehensive enough” to meet their stated goals.

    “They could eliminate APCs and fix pricing, but the extremely useful tool that they have is influence over the universities,” he added.

    For example, one of the options in the NIH’s proposal would increase limits on APCs if the journal paid peer reviewers, but Marcum said he’s concerned that could result in some peer reviewers trying to game the system to enrich themselves. Instead, he said, “if the NIH really wants to move the needle on this, they should think about other ways to compensate reviewers.” Some of those ideas could include giving peer reviewers credit toward their grant applications, including peer review as part of grant work or requiring universities that apply for NIH grants to include considerations for their researchers to engage in peer review.

    Heather Joseph, executive director of the Scholarly Publishing and Academic Resources Coalition, said that though the NIH “can’t single-handedly reform the global system of academic research incentives, they can play a leadership role.”

    But capping APCs isn’t the only—or most effective—option to make that happen.

    “Rather than just limiting the amount of money that the NIH provides researchers to publish in a journal, it could say, ‘If you choose not to publish in a journal and do something else, we’ll provide money to do that,’ and support other mechanisms that allow researchers to break that incentive cycle,” Joseph said. “The NIH could reward them for communicating their findings early and often, making the global conversation of science dynamic in real time so that people can really benefit from it.”

    The publishing industry is also not keen on the NIH’s attempt to control article processing charges.

    A “free and competitive scholarly marketplace, including not-for-profit societies and other publishers, remains the most effective means of sustaining this vital sector, and bolstering our nation’s leadership position in the sciences,” Carl Maxwell, senior vice president for public policy for the Association of American Publishers, which has opposed open access expansion, wrote in an email to Inside Higher Ed.

    “Models are now changing in the face of open access mandates, and AAP is analyzing the options put forth by NIH to identify the plan that will provide authors with maximum freedom to choose how to publish and communicate their work, while at the same time supporting the indispensable publication processes that deliver best-in-class, peer-reviewed articles.”

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  • More comprehensive EDI data makes for a clearer picture of staff social mobility

    More comprehensive EDI data makes for a clearer picture of staff social mobility

    Asking more granular EDI questions of its PGRs and staff should be a sector priority. It would enable universities to assess the diversity of their academic populations in the same manner they have done for our undergraduate bodies – but with the addition of a valuable socio-economic lens.

    It would equip us more effectively to answer basic questions regarding how far the diversity in our undergraduate community leads through to our PGT, PGR and academic populations, as well as see where ethnicity and gender intersect with socio-economic status and caring responsibilities to contribute to individuals falling out of (or choosing to leave) the “leaky” academic pipeline.

    One tool to achieve this is the Diversity and Inclusion Survey (DAISY), a creation of Equality, Diversity and Inclusion in Science and Health (EDIS) and the Wellcome Trust. This toolkit outlines how funders and universities can collect more detailed diversity monitoring data of their staff and PGRs as well as individuals involved in research projects.

    DAISY suggests questions regarding socio-economic background and caring responsibilities that nuance or expand upon those already in “equal opportunities”-type application forms that exist in the sector. DAISY asks, for example, whether one has children and/or adult dependents, and how many of each, rather than the usual “yes” or “no” to “do you have caring responsibilities?” Other questions include the occupation of your main household earner when aged 14 (with the option to pick from categories of job type), whether your parents attended university before you were 18, and whether you qualified for free school meals at the age of 14.

    EDI data journeys across the sector

    As part of an evolving data strategy, UCAS already collects several DAISY data points on their applicants, such as school type and eligibility for free school meals, with the latter data point is gaining traction across the university sector and policy bodies as a meaningful indicator for disadvantage.

    Funders are interested in collecting more granular EDI data. The National Institute for Health and Care Research (NIHR), for example, invested around £800 million in the creation of Biomedical Research Centres in the early 2020s. The NIHR encouraged the collection of DAISY data specifically on both the researchers each centre would employ and the individuals they would research upon, in the belief (see theme four of their research inclusion strategy) that a diverse researcher workforce will make medical science more robust.

    The diversity monitoring templates attached to recent UKRI funding schemes similarly highlight the sector’s desire for more granular EDI data. UKRI’s Responsive Mode Scheme, for example, requires institutions to benchmark their applicants against a range of protected characteristics, including ethnicity, gender, and disability, set against the percentage of the “researcher population” at the institution holding those characteristics. The direction of travel in the sector is clear.

    What can universities do?

    Given the data journeys of UCAS and funding bodies, it is sensible and proportionate, therefore, that universities ask more granular EDI questions of their PGRs and their staff. Queen Mary began doing so, using the DAISY toolkit as guide, for its staff and PGRs in October 2024, alongside work to capture similar demographic data in the patient population involved in clinical trials supported by Queen Mary and Barts NHS Health Trust.

    While we have excellent diversity in our undergraduate community, we see less in our PGR and staff communities, and embedding more granular data collection into our central HR processes for staff and admissions processes for PGRs allows us to assess (eventually, at least, given adequate disclosure rates) how far the diversity in our undergraduate population leads through to our PGT, PGR and academic population.

    Embedding the collection of more granular EDI data into central HR and admissions systems required collaboration across Queen Mary’s Research Culture, EDI, and HR teams, creating new information forms and systems to collect the data while ensuring it could be linked to other datasets. The process was also quickened by a clinical trials unit in our Faculty of Medicine & Dentistry who had piloted the collection of this data already on a smaller scale, providing a proof of concept for our colleagues in HR.

    EDI data and the PGR pipeline

    Securing the cooperation of our HR and EDI colleagues was made easier thanks to our doctoral college, who had already incorporated the collection of more granular EDI data into an initiative aimed at increasing the representation of Black British students in our PGR community: the STRIDE programme.

    Standing for “Summer Training Research Initiative to Support Diversity and Equity”, STRIDE gives our BAME undergraduate students the opportunity to undertake an eight-week paid research project over the summer, alongside a weekly soft skills programme including presentation and leadership training. Although the programme has run annually since 2020 with excellent outcomes (almost 70 per cent of the first cohort successfully applied to funded research programmes), incorporating more granular EDI questions into the application form for the 2024 cohort of 425 applicants highlighted intersectional barriers to postgraduate study faced by our applicants that would have been obscured had we only collected basic EDI data.

    Among other insights, 47 per cent of applicants to STRIDE had been eligible at some point for free school meals. This contrasts with our broader undergraduate community, 22 per cent of whom were eligible for free school meals. Some 55 per cent of applicants reported that neither of their parents went to university, and 27 per cent reported that their parents had routine or semi-routine manual jobs. Asking questions beyond the usual suite of EDI questions allows us here to picture more clearly the socio-economic and cultural barriers that intersect with ethnicity to make entry into postgraduate study more difficult for members of underrepresented communities.

    The data chimed with internal research we conducted in 2021, where we discovered that many of the key barriers to our undergraduates engaging in postgraduate research were the same as those who were first in family to go to university, namely lack of family understanding of a further degree and lack of understanding regarding the financial benefits of completing a postgraduate research degree.

    Collecting more granular EDI data will allow us to understand and support diversity that is intersectional, while enabling more effective assessment of whether Queen Mary is moving in the right direction in terms of making research degrees (and research careers) accessible to traditionally underrepresented communities at our universities. But collecting such data on our STRIDE applicants makes little sense without equivalent data from our PGR and academic community – hence Queen Mary’s broader decision to embed DAISY data collection into its systems.

    The potential of DAISY

    As Queen Mary’s experience with STRIDE demonstrates, nuancing our collection of EDI data comes with clear potential. Given adequate disclosure rates, collecting more granular EDI data makes possible more effective intersectional analyses of our PGRs and staff across our sector, and helps understand the social mobility of our PGRs and staff with more nuance, leading to a clearer image of the journey that those from less privileged social backgrounds and/or those with caring responsibilities face across our sector.

    More broadly, universities will always be crucial catalysts of social mobility, and collecting more granular data on socio-economic background alongside the personal data they already collect – such as gender, ethnicity, religion and other protected characteristics – is a logical and necessary next step.

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