Universities, economic development and ‘levelling up’ – how can universities make a positive impact on their local areas?

Based on the findings of a recent report into the ways in which higher education institutions contribute to the development of their local regions. Mark Tewdwr-Jones and Louise Kempton, discuss the complexity of aligning the goals of higher education to regional economic initiatives, such as the UK government’s levelling up agenda. They also highlight how good policy for productive regional engagements, is long-term, recognises diversity within regions and higher education and cuts a balance between universities as important, but not always central, actors in regional development

Higher Education for Smart Specialisation Towards strategic partnerships for innovation

The Policy Brief analyses three elements: - S3 Platform survey data on institutions and smart specialisation - ESF programming data - HESS pilot case studiesJRC.B.3-Territorial Developmen

Reframing urban and regional 'development' for 'left behind' places

The recent wave of populism has focused attention on ‘left behind’ places as hotspots of discontent. Seeking to remedy their neglect in urban and regional studies, the aim of this paper is to engage with the problems of ‘left behind’ places and to stimulate fresh thinking about alternative approaches. Reflecting the complex and inter-connected issues facing such places, it argues that a new conception is required to address issues of belonging and attachment. The paper outlines the basis of an expanded neo-endogenous development approach, identifying the foundational economy, income and livelihoods, social infrastructures and social innovation as key policy concerns

Meta-analysis of regional white matter volume in bipolar disorder with replication in an independent sample using coordinates, T-maps, and individual MRI data

Converging evidence suggests that bipolar disorder (BD) is associated with white matter (WM) abnormalities. Meta-analyses of voxel based morphometry (VBM) data is commonly performed using published coordinates, however this method is limited since it ignores non-significant data. Obtaining statistical maps from studies (T-maps) as well as raw MRI datasets increases accuracy and allows for a comprehensive analysis of clinical variables. We obtained coordinate data (5-studies), T-Maps (12-studies, including unpublished data) and raw MRI datasets (5-studies) and analysed the 24 studies using Seed-based d Mapping (SDM). A VBM analysis was conducted to verify the results in an independent sample. The meta-analysis revealed decreased WM volume in the posterior corpus callosum extending to WM in the posterior cingulate cortex. This region was significantly reduced in volume in BD patients in the independent dataset (p=0.003) but there was no association with clinical variables. We identified a robust WM volume abnormality in BD patients that may represent a trait marker of the disease and used a novel methodology to validate the findings

Transits of Known Planets Orbiting a Naked-Eye Star

© 2020 The American Astronomical Society. All rights reserved.Some of the most scientifically valuable transiting planets are those that were already known from radial velocity (RV) surveys. This is primarily because their orbits are well characterized and they preferentially orbit bright stars that are the targets of RV surveys. The Transiting Exoplanet Survey Satellite (TESS) provides an opportunity to survey most of the known exoplanet systems in a systematic fashion to detect possible transits of their planets. HD 136352 (Nu2 Lupi) is a naked-eye (V = 5.78) G-type main-sequence star that was discovered to host three planets with orbital periods of 11.6, 27.6, and 108.1 days via RV monitoring with the High Accuracy Radial velocity Planet Searcher (HARPS) spectrograph. We present the detection and characterization of transits for the two inner planets of the HD 136352 system, revealing radii of 1.482-0.056+0.058 R ⊕ and 2.608-0.077+0.078 R ⊕ for planets b and c, respectively. We combine new HARPS observations with RV data from the Keck/High Resolution Echelle Spectrometer and the Anglo-Australian Telescope, along with TESS photometry from Sector 12, to perform a complete analysis of the system parameters. The combined data analysis results in extracted bulk density values of ρb = 7.8-1.1+1.2 g cm-3 and ρc = 3.50-0.36+0.41 g cm-3 for planets b and c, respectively, thus placing them on either side of the radius valley. The combination of the multitransiting planet system, the bright host star, and the diversity of planetary interiors and atmospheres means this will likely become a cornerstone system for atmospheric and orbital characterization of small worlds.Peer reviewe

Identification of the top TESS objects of interest for atmospheric characterization of transiting exoplanets with JWST

Funding: Funding for the TESS mission is provided by NASA's Science Mission Directorate. This work makes use of observations from the LCOGT network. Part of the LCOGT telescope time was granted by NOIRLab through the Mid-Scale Innovations Program (MSIP). MSIP is funded by NSF. This paper is based on observations made with the MuSCAT3 instrument, developed by the Astrobiology Center and under financial support by JSPS KAKENHI (grant No. JP18H05439) and JST PRESTO (grant No. JPMJPR1775), at Faulkes Telescope North on Maui, HI, operated by the Las Cumbres Observatory. This paper makes use of data from the MEarth Project, which is a collaboration between Harvard University and the Smithsonian Astrophysical Observatory. The MEarth Project acknowledges funding from the David and Lucile Packard Fellowship for Science and Engineering, the National Science Foundation under grant Nos. AST-0807690, AST-1109468, AST-1616624 and AST-1004488 (Alan T. Waterman Award), the National Aeronautics and Space Administration under grant No. 80NSSC18K0476 issued through the XRP Program, and the John Templeton Foundation. C.M. would like to gratefully acknowledge the entire Dragonfly Telephoto Array team, and Bob Abraham in particular, for allowing their telescope bright time to be put to use observing exoplanets. B.J.H. acknowledges support from the Future Investigators in NASA Earth and Space Science and Technology (FINESST) program (grant No. 80NSSC20K1551) and support by NASA under grant No. 80GSFC21M0002. K.A.C. and C.N.W. acknowledge support from the TESS mission via subaward s3449 from MIT. D.R.C. and C.A.C. acknowledge support from NASA through the XRP grant No. 18-2XRP18_2-0007. C.A.C. acknowledges that this research was carried out at the Jet Propulsion Laboratory, California Institute of Technology, under a contract with the National Aeronautics and Space Administration (80NM0018D0004). S.Z. and A.B. acknowledge support from the Israel Ministry of Science and Technology (grant No. 3-18143). The research leading to these results has received funding from the ARC grant for Concerted Research Actions, financed by the Wallonia-Brussels Federation. TRAPPIST is funded by the Belgian Fund for Scientific Research (Fond National de la Recherche Scientifique, FNRS) under the grant No. PDR T.0120.21. The postdoctoral fellowship of K.B. is funded by F.R.S.-FNRS grant No. T.0109.20 and by the Francqui Foundation. H.P.O.'s contribution has been carried out within the framework of the NCCR PlanetS supported by the Swiss National Science Foundation under grant Nos. 51NF40_182901 and 51NF40_205606. F.J.P. acknowledges financial support from the grant No. CEX2021-001131-S funded by MCIN/AEI/ 10.13039/501100011033. A.J. acknowledges support from ANID—Millennium Science Initiative—ICN12_009 and from FONDECYT project 1210718. Z.L.D. acknowledges the MIT Presidential Fellowship and that this material is based upon work supported by the National Science Foundation Graduate Research Fellowship under grant No. 1745302. P.R. acknowledges support from the National Science Foundation grant No. 1952545. This work is partly supported by JSPS KAKENHI grant Nos. JP17H04574, JP18H05439, JP21K20376; JST CREST grant No. JPMJCR1761; and Astrobiology Center SATELLITE Research project AB022006. This publication benefits from the support of the French Community of Belgium in the context of the FRIA Doctoral Grant awarded to M.T. D.D. acknowledges support from TESS Guest Investigator Program grant Nos. 80NSSC22K1353, 80NSSC22K0185, and 80NSSC23K0769. A.B. acknowledges the support of M.V. Lomonosov Moscow State University Program of Development. T.D. was supported in part by the McDonnell Center for the Space Sciences. V.K. acknowledges support from the youth scientific laboratory project, topic FEUZ-2020-0038.JWST has ushered in an era of unprecedented ability to characterize exoplanetary atmospheres. While there are over 5000 confirmed planets, more than 4000 Transiting Exoplanet Survey Satellite (TESS) planet candidates are still unconfirmed and many of the best planets for atmospheric characterization may remain to be identified. We present a sample of TESS planets and planet candidates that we identify as “best-in-class” for transmission and emission spectroscopy with JWST. These targets are sorted into bins across equilibrium temperature Teq and planetary radius Rp and are ranked by a transmission and an emission spectroscopy metric (TSM and ESM, respectively) within each bin. We perform cuts for expected signal size and stellar brightness to remove suboptimal targets for JWST. Of the 194 targets in the resulting sample, 103 are unconfirmed TESS planet candidates, also known as TESS Objects of Interest (TOIs). We perform vetting and statistical validation analyses on these 103 targets to determine which are likely planets and which are likely false positives, incorporating ground-based follow-up from the TESS Follow-up Observation Program to aid the vetting and validation process. We statistically validate 18 TOIs, marginally validate 31 TOIs to varying levels of confidence, deem 29 TOIs likely false positives, and leave the dispositions for four TOIs as inconclusive. Twenty-one of the 103 TOIs were confirmed independently over the course of our analysis. We intend for this work to serve as a community resource and motivate formal confirmation and mass measurements of each validated planet. We encourage more detailed analysis of individual targets by the community.Peer reviewe

Speech Illusions in People at Clinical High Risk for Psychosis Linked to Clinical Outcome

BACKGROUND AND HYPOTHESIS: Around 20% of people at clinical high risk (CHR) for psychosis later develop a psychotic disorder, but it is difficult to predict who this will be. We assessed the incidence of hearing speech (termed speech illusions [SIs]) in noise in CHR participants and examined whether this was associated with adverse clinical outcomes. STUDY DESIGN: At baseline, 344 CHR participants and 67 healthy controls were presented with a computerized white noise task and asked whether they heard speech, and whether speech was neutral, affective, or whether they were uncertain about its valence. After 2 years, we assessed whether participants transitioned to psychosis, or remitted from the CHR state, and their functioning. STUDY RESULTS: CHR participants had a lower sensitivity to the task. Logistic regression revealed that a bias towards hearing targets in stimuli was associated with remission status (OR = 0.21, P = 042). Conversely, hearing SIs with uncertain valence at baseline was associated with reduced likelihood of remission (OR = 7.72. P = .007). When we assessed only participants who did not take antipsychotic medication at baseline, the association between hearing SIs with uncertain valence at baseline and remission likelihood remained (OR = 7.61, P = .043) and this variable was additionally associated with a greater likelihood of transition to psychosis (OR = 5.34, P = .029). CONCLUSIONS: In CHR individuals, a tendency to hear speech in noise, and uncertainty about the affective valence of this speech, is associated with adverse outcomes. This task could be used in a battery of cognitive markers to stratify CHR participants according to subsequent outcomes

Partnering Globally to Achieve Better Outcomes Locally

The University of Pittsburgh has engaged in strategic partnership with Newcastle University (UK) that includes a focus on inclusive innovation in university-led innovation districts. In 2023, Pitt faculty and community partners from Hazelwood traveled to the UK to learn from colleagues in Newcastle, particularly around the Newcastle Health Innovation Neighborhood. In 2023, Pitt and Newcastle researchers are expanding the partnership to explore connections with universities in the Global South. This project highlights the ways in which universities can mobilize global partnerships and international networks to achieve better outcomes for hyper-local (neighborhood) projects

Putting Universities in their Place: An evidence-based approach to understanding the contribution of higher education to local and regional development

Executive summary The past 50 years have seen a massive expansion in higher education, especially in middle income countries. There has also been significant growth in student mobility, though this tends to favour higher income countries who enjoy positive net flows at the expense of lower income ones. University missions evolve over time and in response to external demands. Recent decades have seen a transformation in the role of higher education institutions (HEIs) in regional development. There are mutual benefits – for example universities get access to new funding streams and regional partners get access to knowledge, innovation and technology. But effective regional partnerships require trust and can often be a time-consuming process. Relationships need to go beyond superficial displays of cooperation through, for example, the signing of high level agreements such as memoranda of understanding. The primary value of higher education to a region is through enhancing human capital. This can stimulate productivity, entrepreneurship and innovation. However, this presents a challenge for peripheral or lagging regions: graduates are generally highly mobile, with a tendency to migrate to the most high performing places; the presence of HEIs in a region alone is therefore not sufficient to ensure it will benefit from this uplift in human capital relative to other regions. Involving universities in regional strategies to develop, support and grow new sectors can mitigate his effect, by creating employment and business opportunities for graduates. However, matching HE provision to local needs is a high risk approach that may have the opposite effect for which it is intended, as HEIs and places can become ‘locked in’ to a spiral of mutual decline. Some regions may develop strategies based on university research, driving new path creation, while others focus on their role in path adaptation. The former is a high risk-high reward strategy that, evidence shows, only succeeds in exceptional cases. A focus of universities’ contribution on the supply side (generating graduates and new knowledge through research) is not sufficient, especially in the periphery. There is also a need to develop the demand side (absorptive capacity) and translational dimensions of knowledge transfer. This study demonstrates the most significant contribution of universities to regional economies is through supporting the development of regional resilience and adaptive capacity through teaching and research. This requires universities to have engagement and impact strategies that go beyond the direct economic effect of their presence on the local economy. This presents particular challenges for policy makers in peripheral regions, as they need to do more than their counterparts in core regions, to develop the demand side and attract and retain skilled people. There are various models of university-region relations for development that have had a big impact on shaping policy. However, they have inherent weaknesses, especially in terms of their application in less developed or peripheral regions. In addition, they do not take sufficient account of the diversity of institutional, policy and regional settings